Lecture Notes in Mathematics Edited by A. Dotd and B. Eckmann
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Lecture Notes in Mathematics Edited by A. Dotd and B. Eckmann
827 Ordinary and Partial Differential Equations Proceedings of the
Fifth Conference Held at Dundee, Scotland, March 29 - 31, 1978
Edited by W. N. Everitt
Springer-Verlag Berlin Heidelberg New York 1980
Editor W. N. Everitt Department of Mathematics University of Dundee Dundee D1 4HN Scotland
AMS Subject Classifications (1980): 33 A10, 33 A35, 33 A40, 33 A45, 34Axx, 34 Bxx, 34C15, 34C25, 34D05, 34 D15, 34E05, 34 Kxx, 35B25, 35J05, 35 K15, 35K20, 41A60 ISBN 3-540-10252-3 Springer-Verlag Berlin Heidelberg New York ISBN 0-387-10252-3 Springer-Verlag NewYork Heidelberg Berlin This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically those of translation, reprinting, re-use of illustrations, broadcasting, reproduction by photocopying machine or similar means, and storage in data banks. Under § 54 of the German Copyright Law where copies are made for other than private use, a fee is payable to the publisher, the amount of the fee to be determined by agreement with the publisher. © by Springer-Verlag Berlin Heidelberg 1980 Printed in Germany Printing and binding: Beltz Offsetdruck, Hemsbach/Bergstr. 2141/3140-543210
This volume is dedicated to the life, work and memory of ARTHUR
ERD~LYI
1908-1977
PREFACE
These Proceedings form a record of the plenary lectures delivered at the fifth Conference on Ordinary and Partial Differential Equations which was held at the University of Dundee, Scotland, UK during the period of three days Wednesday to Friday 29 to 31 March 1978. The Conference was originally conceived as a tribute to Professor Arthur Erd~lyi, FRSE, FRS, to mark his then impending retirement from the University of Edinburgh.
A number of his colleagues,
including David Colton, W N Everitt, R J Knops, A G Mackie, and G F Roach, met in Edinburgh early in 1977 in order to make provisional arrangements for the Conference programme.
At this meeting it was
agreed that Arthur Erd~lyi should be named as Honorary President of the Conference.
A formal invitation to attend the Conference was issued
to him in the autumn of 1977, and this invitation Arthur Erd~lyi gladly accepted, expressing his appreciation for the thought and consideration of his colleagues.
Alas, time, in the event, did not allow of these
arrangements to come about; Arthur Erd~lyi died suddenly and unexpectedly at his home in Edinburgh on 12 December 1977, at the age of 69. Nevertheless it was decided to proceed with the Conference; invitations had been issued to a number of former students, collaborators and friends of Arthur Erd~lyi to deliver plenary lectures.
The Conference
was held as a tribute to his memory and to the outstanding and distinguished contribution he had made to mathematical analysis and differential equations.
VI
These Proceedings form a permanent record of the plenary lectures, together with a list of all other lectures delivered to the Conference. This is not the time and place to discuss in any detail the mathematical work of Arthur Erd~lyi.
Obituary notices have now been
published by the London Mathematical Society and the Royal Society of London.
Those who conceived and organized this Conference are content
to dedicate this volume to his memory. The Conference was organized by the Dundee Committee; E R Dawson, W N Everitt and B D Sleeman. It was no longer possible to follow through the original proposal for naming an Honorary President.
Instead, following the tradition
set by earlier Dundee Conferences, those n~med as Honorary Presidents of the 1978 Conference were: Professor F V Atkinson (Canada) Professor H-W Knobloch (West Germany). All participants are thanked for their contribution to the work of the Conference; many travelled long distances to be in Dundee at the time of the meeting. The Committee thanks: the University of Dundee for generously supporting the Conference; the Warden and Staff of West Park Hall for their help in providing accommodation for participants; colleagues and research students in the Department of Mathematics for help during the week of the Conference; the Bursar of Residences and the Finance Office of the University of Dundee. As for the 1976 Conference the Committee records special appreciation of a grant from the European Research Office of the United
States Army; this grant made available travel support for participants from Europe and North America, and also helped to provide secretarial services for the Conference. Professor Sleeman and I wish to record special thanks to our colleague, Commander E R Dawson RN, who carried the main burden for the organization of the Conference.
Likewise, as in previous years, we
thank Mrs Norah Thompson, Secretary in the Department of Mathematics, for her invaluable contribution to the Conference.
W N Everitt
C O N T E N T S F. V. Atkinson Exponential behaviour of eigenfunctions and gaps in the essential spectrum ....
1
B. L. J. Braaksma Laplace integrals in singular differential and difference equations ...........
25
David Colton Continuation and reflection of solutions to parabolic partial difference equations .....................................................................
54
W. N. Everitt Legendre polynomials and singular differential operators ......................
83
Gaetano Fichera Singularities of 3-dimensional potential functions at the vertices and at the edges of the boundary .........................................................
]07
Patrick Habets Singular perturbations of elliptic boundary value problems ....................
I]5
F. A. Howes and R. E. O'Malley Jr. Singular perturbations of semilinear second order systems .....................
131
H. W. Knobloch Higher order necessary conditions in optimal control theory ...................
151
J. Mawhin and M. Willem Range of nonlinear perturbations of linear operators with an infinite dimensional kernel ............................................................
165
Erhard Meister Some classes of integral and integro-differential equations of convolutional type ............................................................
|82
B. D. Sleeman Multiparameter periodic differential equations ................................
229
Jet Wimp Uniform scale functions and the asymptotic expansion of integrals .............
251
Lectures ~iven at the Conference which are not represented by contributions to these Proceedings. N. I. AI-Amood Rate of decay in the critical cases of differential equations R. J. Amos On a Dirichlet and limit-circle criterion for second-order ordinary differential expressions G. Andrews An existence theorem for a nonlinear equation in one-dimensional viscoelasticity K. J. Brown Multiple solutions for a class of semilinear elliptic boundary value problems P. J. Browne Nonlinear multiparameter problems J. Carr Deterministic epidemic waves A. Davey An initial value method for eigenvalue problems using compound matrices P. C. Dunne Existence and multiplicity of solutions of a nonlinear system of elliptic equations M. S. P. Eastham and S. B. Hadid Estimates of Liouville-Green type for higher-order equations with applications to deficiency index theory H. GrabmUller Asymptotic behaviour of solutions of abstract integro-differential equations S. G. Halvorsen On absolute constants concerning 'flat' oscillators G. C. Hsiao and R. J. Weinacht A singularly perturbed Cauchy problem Hutson Differential - difference equations with both advanced and retarded arguments
XI
H. Kalf The Friedrichs Extension of semibounded Sturm-Liouville operators R. M. Kauffman The number of Dirichlet solutions to a class of linear ordinary differential equations R. J. Knops Continuous dependence in the Cauchy problem for a nonlinear 'elliptic'
system
I. W. Knowles Stability conditions for second-order linear differential equations M. KSni$ On C~ estimates for solutions of the radiation problem R. Kress On the limiting behaviour of solutions to boundary integral equations associated with time harmonic wave equations for small frequencies M. K. Kwon$ Interval-type perturbation of deficiency index M. K. Kwong and A. Zettl Remarks on Landau's inequality R. T. Lewis and D. B. Hinton Discrete spectra criteria for differential operators with a finite singularity Sons-sun Lin A bifurcation theorem arising from a selection migration model in population genetics M. Z. M. Malhardeen Stability of a linear nonconservative elastic system J. W. Mooney Picard and Newton methods for mildly nonlinear elliptic boundary-value problems R. B. Paris and A. D. Wood Asymptotics of a class of higher order ordinary differential equations H. Pecher and W. yon Wahl Time dependent nonlinear Schrodinger equations
XII
D. R a c e
On necessary and sufficient conditions for the existence of solutions of ordinary differential equations T. T. Read Limit-circle expressions with oscillatory coefficients R. A. Smith Existence of another periodic solutions of certain nonlinear ordinary differential equations M. A. Sneider On the existence of a steady state in a biological system D. C L Stocks and G. Pasan Oscillation criteria for initial value problems in second order linear hyperbolic equations in two independent variables C. J. van Duyn Regularity properties of solutions of an equation arising in the theory of turbulence W. H. yon Wahl Existence theorems for elliptic systems J. Walter Methodical remarks on Riccati's differential equation
Address list of authors and speakers N. AI-Amood:
Department of Mathematics, Heriot-Watt University, Riccarton, Currie, EDINBURGH EH14 4AS, Scotland
R. J. Amos:
Department of Pure Mathematics, University of St Andrews, The North Haugh, ST ANDREWS, Fife, Scotland
G. Andrews:
Department of Mathematics, Heriot-Watt University, Ricearton, Currie, EDINBURGH EHI4 4AS, Scotland
F. V. Atkinson:
Department of Mathematics, University of Toronto, TORONTO 5, Canada
B. L. J. Braaksma:
Mathematisch Instituut, University of Groningen, PO Box 800, GRONLNGEN, The Netherlands
K. J. Brown:
Department of Mathematics
Heriot-Watt University,
Riccarton, Currie, EDINBURGH EHI4 4AS, Scotland P. J. Browne:
Department of Mathematics
University of Calgary,
CALGARY, Alberta T2N 1N4, Canada J. Carr:
Department of Mathematics
Heriot-Watt University,
Riccarton, Currie, EDINBURGH EH14 4AS, Scotland D. L. Colton:
Department of Mathematics
University of Delaware,
NEWARK, Delaware 19711, USA A. Davey:
Department of Mathematics
University of Newcastle-
upon-Tyne, NEWCASTLE-UPON-TYNE NEI 7RU, England P. C. Dunne:
Department of Mathematics
Heriot-Watt University,
Riccarton, Currie, EDINBURGH EHI4 4AS, Scotland M. S. P. Eastham:
Department of Mathematics
Chelsea College,
~ n r e s a Road, LONDON W. N. Everitt:
Department of Mathematics
The University, DUNDEE
DDI 4HN, Scotland G. Fichera:
Via Pietro Mascagni 7,00199 ROMA, Italy
H. Grabm~ller:
Fachbereich Mathematik, Technisehe Hochschule Darmstadt, D 6100 DARMSTADT, Sehlossgartenstrasse 7, West Germany
P. Habets:
Institut Mathematique, Universit~ Catholique de Louvain, Chemin du Cyclotron 2, 1348 LOUVAIN LANEUVE, Belgium
S. B. Hadid:
Department of Mathematics, Chelsea College, Manresa Road, LONDON
XIV
S. G. Halvorsen:
Institute of Mathematics, University of Trondheim, NTH, 7034 TRONDHEIM-NTH, Norway
D. B. Hinton:
Department of Mathematics, University of Tennessee, KNOXVILLE, Tennessee 37916, USA
F. A. Howes:
Department of Mathematics, University of Minnesota, MINNEAPOLIS, Minnesota 55455, USA
G. C. Hsiao:
Department of Mathematics, University of Delaware, NEWARK, Delaware 19711, USA
V. Hutson:
Department of Applied Mathematics, The University, SHEFFIELD Sl0 2TN, England
H. Kalf:
Fachbereich Mathematik, Technische Hochschule Darmstadt, D 6;00 DARMSTADT, Schlossgartenstrasse 7, West Germany
R. M. Kauffman:
Department of Mathematics, Western Wastington University, BELLINGHAM, WA 98225, USA
H. W. Knobloch:
Mathem. Institut der Universit~t, 87 WURZBURG, Am Hubland, West Germany
R. J. Knops:
Department of Mathematics, Heriot-Watt University, Riccarton, Currie, EDINBURGH EHI4 4AS, Scotland
I. W. Knowles:
Department of Mathematics, University of the Witwatersrand, JOHANNESBURG, South Africa
M. K~nig:
Mathematisches Institut der Universit~t MUnchen, D 8 MI~NCHEN 2, West Germany
R. Kress:
Lehrstuhle Mathematik, Universit~t G~ttingen, Lotzestrasse 16.18, GOTTINGEN, West Germany
M. K. Kwong:
Department of Mathematics, Northern Illinois University, DEKALB, Illinois 60115, USA
R. T. Lewis:
Department of Mathematics, University of Alabama in Birmingham, BIRMINGHAM, Alabama 35294, USA
S. S. Lin:
Department of Mathematics, Heriot-Watt University, Riccarton, Currie, EDINBURGH EHI4 4AS, Scotland
M. Z. M. Malhardeen:
Department of Mathematics, Heriot-Watt University, Riecarton, Currie, EDINBURGH EHI4 4AS, Scotland
J. L. Mawhin:
Institut Mathematique, Universit~ Catholique de Louvain, Chemin du Cyclotron 2, 1348 LOUVAIN LANEUVE, Belgium
XV
E. Meister:
Fachbereich Mathematik, Technische Hochschule Darmstadt, 6100 DARMSTADT, Kantplatz I, West Germany
J. W. Mooney:
Department of Mathematics, Paisley College, High Street, PAISLEY, Scotland
R. E. O'Malley Jr:
Program in Applied Mathematics, Mathematics Building, University of Arizona, TUCSON, Arizona 85721, USA
G. Pagan:
Department of Mathematics, Royal Military College of Science, Shrivenham, SWINDON SN6 8LA, England
R. B. Paris:
Centre d'Studies Nuclearies, DP4PFC/STGI, Boite Postale No 6, 92260 FONTENAY-AUX-ROSES, Prance
H. Pecher:
Fachbereich Mathematik, Gesamthochschuie, Gauss-strasse 20, D 5600 WUPPERTAL I, West Germany
D. Rece:
Department of Mathematics, University of the Witwatersrand, JOHANNESBURG, South Africa
T. T. Read:
Department of Mathematics, Western Washington University, BELLINGHAM, Washington 98225, USA
B. D. Sleeman:
Department of Mathematics, The University, DUNDEE DDI 4HN, Scotland
R. A. Smith:
Department of Mathematics, University of Durham, Science Laboratories, South Road, DURHAM, England
M. A. Sneider:
Via A. Torlonia N.12, 00161ROMA,
Italy
D. C. Stocks:
Department of Mathematics, Royal Military College of Science, Shrivenham, SWlNDON SN6 8LA, England
C. J. van Duyn:
Ryksuniversiteit Leiden, Mathematisch Instituut Wassenaarseweg 80, LEIDEN, Holland
W. H. von Wahl:
Universitat Bayreuth, Lehrstuhl fur Angewandte Mathematik, Postfach 3008, D 8580 BAYREUTH, West Germany
J. Walter:
Institut f~r Mathematik, Universit~t Aachen, 51 AACHEN, Templergraben 55, West Germany
R. J. Weinacht:
Department of Mathematics, University of Delaware, NEWARK, Delaware 19711, USA
XVI
J. Wimp:
Department of Mathematics, Drexel University, PHILADELPHIA, PA 19104, U S A
A. D. Wood:
Department of Mathematics, Cranfield Institute of Technology, CRANFIELD Bedford MK43 OAL, England
A. Zettl:
Department of Mathematics, Northern Illinois University, DEKALB, Illinois 60115, USA
E X P O N E N T I A L B E H A V I O U R OF E I G E N F U N C T I O N S AND GAPS IN THE E S S E N T I A L S P E C T R U M F.V.Atkinson U n i v e r s i t y of Toronto I.
Introduction. In this paper we obtain c o n d i t i o n s on the c o e f f i c i e n t s in
c e r t a i n s e c o n d - o r d e r d i f f e r e n t i a l e q u a t i o n s w h i c h yield c o n c l u s i o n s r e g a r d i n g the spectra of a s s o c i a t e d d i f f e r e n t i a l operators.
Such results are p a r t i c u l a r l y w e l l - k n o w n for the case y" + ( I
- q)y = 0 ,
0 ~ t ~
;
(i.i)
we shall c o n s i d e r also the w e i g h t e d case y" +
(lw - q)y = 0 ,
(1.2)
and its v e c t o r - m a t r i x a n a l o g u e y" + again over
(IW
- Q)y = 0 ,
(0,o~), w h e r e
are square matrices. q, w, W
and
Q
positive,
and
W(t)
y
(1.3)
is a column-matrix,
and
W, Q
It will t h r o u g h o u t be assumed that
are continuous functions of
t , with
h e r m i t i a n and p o s i t i v e - d e f i n i t e .
c o n c l u s i o n s w i l l m o s t l y be of two kinds, spectrum contains the p o s i t i v e
w(t)
The
either that the
I - axis, or that certain
intervals n e c e s s a r i l y contain a point of the e s s e n t i a l spectrum. As a typical result in the first vein we cite that of ~nol
( 3, p.1562),
that for r e a l - v a l u e d
is a sequence of intervals bn - an ~
~
( a n'~ bn)
q(t),
, (bn - an )-I ~ q 2 ( t ) d t
the e s s e n t i a l s p e c t r u m a s s o c i a t e d w i t h p o s i t i v e semi-axis.
~
0 ,
(1.4-5)
(i.i) c o n t a i n s the
As to the second kind of result, we cite
the gap theorems for H a r t m a n and P u t n a m
for w h i c h there
with
(i.i) o b t a i n e d in the early paper of
(I0); c o n s i d e r a b l e extensions,
h i g h e r - o r d e r scalar equations, series of papers by E a s t h a m
c o v e r i n g also
have been given in a recent
(4,5,6).
We exploit here a l i t t l e - u s e d method,
in w h i c h we argue
s u c c e s s i v e l y between: (i) h y p o t h e s e s on the coefficients,
imposed in the m o s t general
cases over sequences of intervals, (ii) the e x p o n e n t i a l g r o w t h or decay, the h o m o g e n e o u s equation,
if any, of solutions of
again over s e q u e n c e s of intervals,
for the A -value in question,
and
(iii) a certain quantity the distance
of
~
@(A ), which in some sense measures
from the ~ essential
spectrum.
We make this last aspect precise, of
(1.3). We consider
measurable
operators
complex-valued
taking the general
in a hilbert
column-matrix
case
of locally
space
f(t)
functions
such
that " 2 d~f I f*(t)w(t)f(t) ilfll With
(1.6) we associate
dt
< co
a minimal
operator
(Tf) (t) = w-l(t) (Q(t) f(t) with domain f(t)
D(T)
support
in
T
- f"(t))
the set of continuously
with compact
p (~)
(1.6)
(0,~).
defined by ,
twice-differentiable
We then specify
is the largest number with the property lim inf
for every
ii(T -
sequence
{fJ
in D(T)
i fnl I = 1 , In practice
x
fn-
that
that
~ )'
(1.8)
such that,
as
n -~o~
0
we shall here bound
to have their support If
I )fn II ~ (
(1.7)
,
(1.9-10)
~(k
in intervals
)
by taking
the
(an, bn), where
~ ( k ) = 0, we have a standard
fn an ~
characterisation
of the
%
essential q
spectrum.
in (I.I) or
distance
of ~
If
(1.2)
~(~ ) >
Our approach from
different
to
hypotheses
6)
~ (~)
singular
integration.
The basic E(t)
of, roughly
y
of =
into two parts, and bring
the vast literature
(ii).
we see the
to light the connection seems due to (ii) come under
theory and that of asymptotic
idea is to assooiate,~ (1.3)
y*'y' +
speaking,
sequence
in that we do not argue
The idea of this argument
of stability
with a solution
is the
(6)).
(see the text of Glazman ( 8 , 181-183). Implications of the type leading from (i) to
the heading
or
this is the basis
(iii), but make a detour via
involved,
theory.
(see
from the direct
up the argument
with stability ~nol
differs
(i) immediately
is hermitian,
spectrum;
sequences"
as used by Eastham ( 4 -
In breaking
Q
is real, we have that
from the essential
of the method of "singular method
0, and
a function i y*Wy
Lyapunov
in various ways
such as
,
type. We do not attempt
on this topic.
(I.ii) to survey
Relevant
results linking
in a form going from w i t h real
q(t)
spectrum,
(iii)
(ii) and
to
(iii) are usually stated
(ii). Thus in the case of
b o u n d e d below,
and real
l
(i.i)
not in the e s s e n t i a l
it is known that there m u s t be a n o n - t r i v i a l solution
satisfying y(t) = for some
~ >
0(e-
~t)
0. This is due to ~nol
(1.12)
(see(8)
, p. 179), indeed
for the case of the m u l t i d i m e n s i o n a l Laplacian. case the conclusion is due to P u t n a m a s s u m p t i o n s that >
q(t)
lim sup q(t)
( i~
For the o r d i n a r y
w i t h the more special
is also b o u n d e d above, and that
. The s o l u t i o n a p p e a r i n g in (1.12) w i l l of
course be square-integrable,
and may be viewed as an eigen-
function a s s o c i a t e d w i t h some initial b o u n d a r y condition. We remark in passing that the c o n d i t i o n b o u n d e d b e l o w ensures that at
~
(i.I)
that
q(t)
be
is in the l i m i t - p o i n t c o n d i t i o n
. In w h a t follows, when linking
(ii) and
(iii) we shall
need similar more general c o n d i t i o n s w i t h the same effect, that the e s s e n t i a l spectrum will be non-vacuous, W e shall w e a k e n the p o i n t w i s e q
above to integral analogues,
Brinck
(2);
and complex That
so th
and p( I ) finite.
s e m i - b o u n d e d n e s s imposed on of the type i n t r o d u c e d by
further e x t e n s i o n s involve sequences of intervals, q
(1.12) m a y fail for real u n b o u n d e d
an e x a m p l e c o n s i d e r e d r e c e n t l y by H a l v o r s e n
q
may be seen from
( 9 ), who p r o v e s
also an interesting result in the converse sense, w i t h o u t b o u n d e d n e s s restrictions, of solutions of orders then
~
namely that if there exists a p a i r O(t-k-i/2),
0(t-k+i/2),
where
k~
0.
is not in the e s s e n t i a l spectrum.
We shall take up first the linking of depends on an integral inequality,
(ii) and
(iii). This
and simple i n e q u a l i t i e s
involving sequences. We shall then put this t o g e t h e r w i t h s t a b i l i t y - t y p e i n f o r m a t i o n so as to get results c o n c e r n i n g
~
( I ), and so on the e s s e n t i a l spectrum. We use the symbol *
t r a n s p o s e of a matrix,
to indicate the h e r m i t i a n c o n j u g a t e as in (1.6),
f , we take its n o r m as we take its n o r m as
max I Sfl
be d e n o t e d by
(i.ii).
Ifl = 4(f'f);
For a c o l u m n - m a t r i x
for a square m a t r i x
S
ISI in the o p e r a t o r sense, that is to say
subject to I ; we w r i t e
If~
= 1 . The identity m a t r i x will
Re Q = ½(Q + Q*)
In
~ 2
we prove the underlying
for w h i c h we need one-sided over an interval;,this of a result which, in
(I)
differential
restrictions
on the coefficients
forms the second-order m a t r i x analogue
in the
as a foundation
2n-th order scalar case, was used
for limit-point
criteria.
use this inequality
over a sequence of intervals,
with the hypothesis
that
exponential
behaviour
of intervals.
inequality,
~(k ) ~
we
combined
0, to yield a sort of
in an integral
We then specialise
In ~ 3
sense over sequences
the hypotheses,
for example
to make them ~hold over all intervals of a certain length,
so
as to obtain results of a known type on the exponential behaviour, (~)
including pointwise
>
behaviour,
0; our assumptions
usual pointwise bounds, hermitian
(or
q(t)
on
Q(t)
of solutions when
are weaker than the
and do not require that
real).
In
~5
we continue
Q(t)
be
this special
discussion
so as to complete
the argument of this paper in a
particular
case;
further assumptions,
additional
bounds on the coefficients,
by imposing
solutions
from behaving
positive,
and so force such
we go back to developing
exponentially
when
intervals,
intervals, abstracted
we develop more general criteria, spectrum to contain
~,o~),
the magnitude
of
together with
as to obtain order results as they overlap, provide
for
the results
~(~)
than those of
0,
In
~ 5, for the
over sequences of
and stability arguments )
as
k
-~
agree w i t h those of
(5, 10), but on the
hypotheses. discussions
It is a pleasure
with Prcfessors
to acknowledge
W. N. Everitt,
S. G. Halvorsen and A. Zettl,
helpful
W. D. Evans,
together with the o p p o r t u n i t y
to take part in the 1978 Dundee Comference on Differential Equations.
Acknowledgement
support of the National
so
; in so far
a different approach together w i t h variations
Acknowledgements:
7
we exploit the relation
behaviour, ~(~
~
over
behaviour over sequences
from the large ones.
C (~)'
to
on the coefficients
and in ~ 8
between the degree of exponential intervals,
is real and
the full force of the argument,
imply a certain degree of exponential of "small"
~
the
~ to be in the spectrum. In ~ 6
the effect that one-sided restrictions a sequence of "large"
in fact
we can prevent
is also made to the continued
Research Council of Canada,
through
2.
The basic inequality. The following result is very similar to Theorem 1 of
(1),
where the scalar
2n-th order case was dealt with. Subject
to the standing assumptions on Lemma i.
In the real interval
W , Q
we have
[a, b] let, for positive constants
A 1 and A 2 , and for a continuously differentiable matrix H(t) , there hold the inequalities (b-a)2W(t) ~/ AII, Let the column-matrix
Re Q(t)~/ z(t)
z" + ( ~ W
hermitian
H'(t), (b-a)IH(t) I ~ A 2, (2.1-3)
satisfy
- Q) z = 0 ,
a ~ t ~ b,
(2.4)
and write = max (Re I , 0) ,
(2.5)
v(t) = 6(b-a) -3 I(b - T)(T - a)dT .
(2.6)
Then
(zv +2z'v' ~ *w-l.zv"+2z,v, t %dt ~
C
z*Wz dt ,
(2.7)
where C = 2400! ~ A 1 1 + A1 2 + AI-2A22) .
(2.8)
In the proof which follows, all integrals will be over (a,b); the differential dt will be omitted. We note the estimates 0 ~ v ' ~ 3(b-a)-i/2,
Iv"l i 6(b-a) -2
(2.9)
We have first that the left of (2.7) does not exceed Al-l(b-a)2
~ (zv" + 2z'v')*(zv" + 2z'v')
2Al-l(b-a) 2 I (z*zv"2 + 4(z*'z'v'2)) ~_
72AI-2 I z*Wz
+ 8Al-l(b-a) 2 ~
z*'z'v '2
(2.10)
Here the first term on the right can be incorporated
in the
required bound (2.7-8). It remains to deal similarly with the second term on the right of (2.10). By an integration by parts, and use of (2.4), we have Iz*'z'v'2 = ~ z * ( ~ W
- Q) zv'2
Taking real parts, and using Iz*'z'v '2 ~_
-
(2.1-2),
(9/4) :(b-a)-2 Iz*Wz
+
2~z*z'v'v"
I z. z v 2
(2.9) we have - ~ z*H'zv '2
+ 4
z.zv
+
211)
Integrating by parts again, we have - '[z*H'zv 2 ,
=
2 Re~ z*Hz'v '2
+
2 ~z*Hzv'v"
(i/4)[ z*'z'v'2 + 4 I z*H2zv'2 + 18A2(b-a)-4~z*z (2.12) Turning to the last term in (2.11) we have, by (2.9), [z*zv"2 Combining
~
36(b-a)-4 Iz*z
We choose
(3.10)
this involves
testing only
We can then take
can be represented
, with non-negative
if
k I = ko2 ,
in the form
integral
nl~ n 2 . It then
follows from (3.9) that Wm+k >/
½(M 1 - l)Mlk-i w m
(3.11)
subject to m ~ Similarly,
k+k I , 2k ~
kI .
in the case (3.8), we can choose integers
(3.12)
m I , kI
so that (3.10) is decreasing if
m~
m I, k ~
kI , and
can then deduce from (3.9) that, subject to (3.12), we have Wm_ k ~/
½(M 1 - l)Mlk-lwm .
We now introduce a quantity
~ = ~ (k), which measures
the exponential growth or decay of the \
y 0
of unit length.
for any
A 2, T ~ t
~
T >w 0 , T+l,
(4.2)
differentiable
. We have then
the above assumptions,
spectrum
let
A1 ,
, IH(t, T ) I %
is hermitian
t , where
(1.3),
holds for any interval
we assume
H'(t,
case
and so
t < oo ,
so that the first of (3.16) For the rest of (3.16)
lower bound,
if
k
is a non-trivial
is not in the
solution
of (1.3),
either
e~ty(t)
--> 0 ,
(4.3)
or else e -2~t I Y2( -c ) d-~ t as
t -9
from Theorem e2~t
(4.3)
In the case certain
results
The equation
from
(4.5)
(1.1)
Q(t)
related
investigations statements
be seen by means
or else
0 .
q(t)
(4.5)
, the above
Snol and others,
W(t)
= I
q, or
and a pointwise by Rigler
are due to Kauffman
(4.3)
It would not seem that the corresponding
Q
i,
.
bound
(15);
y'(t)
(or (4.5))
ea~t
to in
other
(12,13).
may be made regarding that
extends
referred
bound on
been considered
of (2.13)
(4.4)
in view of (2.14).
a pointwise
with
has recently
Similar
->
, with real
of Putnam,
(1.3),
1 that we have either
I Y2(~)d~
since we do not assume
on
(4.4)
oO
It follows
We obtain
-~oo
. It may
imply that
o. pointwise
(4.6) statement
for
y'(t)
follows from this. A deduction of this kind may
indeed be made in the scalar case (1.1), with real real
q(t)
~
and
; however this will not be needed and we omit the
details. We have in any case, under the conditions of Theorem 2, that for some 72> 0
either
e27JtIly(t)12 + ly.(t)121 or else
-~9
0,
(4.7)
t+; e
-277tI Iy(~) 2 +
y'(-c
)t2
d~
-9~
(4.8)
.
t .
Simple conditions for the spectrum to contain
~0,Oo ).
Without at this point seeking the maximum generality,
we
note that some criteria for this situation are almost immediate. Theorem 3.
Let (4.1) hold and, with
differentiable,
T
--~ Oo
-9
0
(5.1)
. Let also ~ IQ(t)~ dt
as
continuously
let
T-11olW'(t)Idt as
W(t)
~
T --> oo . Then every real
0 0
(5.2)
is in the essential
spectrum. The hypothesis
(5.2) ensures (4.2), and so it is sufficSent
to show that no non-trivial
solution of (1.3) has the exponential
behaviour implied by (4.7) or (4.8). To this end one considers the growth or decay of E' =
~y*W'y
E(t) *
, as given by (1.11). We find that
Y*'QY + Y * Q Y
.
(5,3)
It follows that T-iIfE'E-lldt as
--~
0
(5.4)
T -->oo, which is inconsistent with (4.7) or (4.8)! this
proves the result. In particular,
we have the conclusion in the case (1,1) if
12 q(t)
(not necessarily real-valued)
some
p
with
1 ~ p
situation (with real complex 6.
q(t)
< oo q)
is in
LP(o, ~ )
for
. A recent discussion of this'
is due to Everitt ( 7 )3 spectra for
have been Cc,Bsidered recently by Zelenko (16).
Sequences of large intervals, We now revert to our main line of argument, in which we
consider the behaviour of the coefficients and of solutions over sequences of intervals, rather than over the whole semi-axis. We suppose that conditions are imposed on the coefficients which limit the exponential behaviour of solutions over a sequence of "large" intervals; within these large intervals we wish to be able to select "small" interval, satisfying the requirements of Theorem 1. The principle Theorem 4.
is embodied in
Let there be a sequence of intervals
~r' drD'
with 0 ~ cI
< d I G 02
0
there is an
lln F(t") - in F(t')~ Then for any 6 - > 0
~
(~
r I such that, for
+ @)lTdt,
r >/r I ,
t', t" ~ ( C r , d r ) . ( 6 . 9 )
we have
In (i + ~2D-I)
~
2~-"
,
(6.10)
where
D -- lO 4 ~(~,÷ ÷ ~12)o---2 ÷ ~ Here
p
is as in (1.8), and
D
+ 2K22 t.
c6.n)
is a modification
of
the constant in (2.8); the numerical constants are of course not precise, and are inserted only to make plain their independence of the other parameters. similar in nature to ~
The quantity
is
in (3.14), or to Lyapunov exponents
or to the general indices of Bohl. If ~ ~--is arbitrary,
~
= 0 , the choice of
and (6.10) shows that
is in the essential spectrum.
If ~
as to obtain the best upper bound for
p = 0 , so that
0, we choose ~
~-- so
, at least so far
as order of magnitude is concerned. We use
G--to determine the
(am , bm). We may take it that
for some infinite sequence of k-values, f 2 k o - - ~ ~ 7 d t ~ 2(k+l)O ~- , c~ We determine 2k intervals (Ckr, Ck,r+l), Ckl = c k , such that
(6.12) starting with
~k~,~
7 d r - - ~ , r = 1 . . . . . 2k. (6.13) ckw It then follows from (6.7) that at least k of these intervals
must satisfy
14
ISl~-ldt We specify that the
(am , bm)
~< 2K2G--.
(6.14)
are to be those of the intervals
appearing in (6,13) which satisfy also (6.14) i k
runs through
a sequence of values satisfying (6.12). This process yields an infinite sequence of intervals
(am , bin), which are to be
numbered in ascending order. We shall have since
Cr--~ oo as
continuity of y
r -9 ~o
am -9 oo as
m -9 oo ,
: this follows from (6,4) and the
.
We next consider the lengths of the
(am, bin). Let
I
ly '(t)/72(t)l < ~ ' am % t Since
~< bm •
(6.15)
(6.16)
~ a ~ d t = O-- ,
we have, over
(am , bm), sup in 7 (t) - inf ln~ (t)
~o~
,
and so 7(am) exp (-o--~) ~< 7(t)
~ ~(am) exp(6--(~ ).
(6.17)
Hence, by (6.16), (bin-am) ~ (am)eXp(-6-~) ~°-~ R, e < arg x < 8} and
> O. 0
Assume
(0.3)
f (x,y)
7 ~6I
b
(x) y~), w h e r e I = IN
and (0.4)
b
(x) N
We m a y t r a n s f o r m then
[ b k x k=0
(0.I) and
-k
as x + ~ in S.
dy (0.2) b y x p = ~ to e q u a t i o n s for ~
and y (~+i), but
(0.4) is an e x p a n s i o n in f r a c t i o n a l powers of ~. In general ~ will be a
singular p o i n t of the d i f f e r e n t i a l e q u a t i o n
(0.i) of rank at m o s t p. If D f(x,0) Y I + 0(x -2) as x + ~ then ~ is also a singular p o i n b of the d i f f e r e n c e e q u a t i o n (0.2). The c o n s t r u c t i o n of solutions of
(0. I) and
(0.2) near the s i n g u l a r p o i n t
o f t e n c o n s i s t s of two parts. I. The c o n s t r u c t i o n of a formal series w h i c h f o r m a l l y satisfies if the formal series for y and the a s y m p t o t i c series for b
(0. I) or
(0.2)
are s u b s t i t u t e d
in (0.3) and
(0.1) or
For example,
in several cases there exists a formal s o l u t i o n of the form
(0.2).
26
(0.5)
x
However,
X c x m o
-m
in g e n e r a l
t h i s formal
series d o e s not converge.
II.The p r o o f t h a t t h e r e e x i s t s a n a n a l y t i c as a s y m p t o t i c
expansion
this analytic
part.
First we consider + b(x).
the linear case of
W e a s s u m e t h a t the n x n - m a t r i x
as L a p l a c e
integrals.
w i l l be d e f i n e d a formal
s o l u t i o n of
w h i c h has
We c o n s i d e r
in sect.
(0.5)
s o l u t i o n w h i c h h a s t h e formal
as x ÷ ~ in a c e r t a i n
(0.1) or
A(x)
(0.2), w h e r e
and the n - v e c t o r of L a p l a c e
f(x,y)
b(x)
= A(x)y +
are r e p r e s e n t a b l e
integrals A 1 and A 2 which
to A. a n d (0.5) is 3 e x i s t s an a n a l y t i c s o l u t i o n y(x)
t h e n there
expansion
class A. w i t h the same h a l f p l a n e s 3 (cf. sect. 2 a n d 3).
solution
We shall c o n s i d e r m a i n l y
s h o w that if A and b b e l o n g
(0.2),
as a s y m p t o t i c
(0.I) a n d
two c l a s s e s
i. We w i l l
region.
and w h i c h
of c o n v e r g e n c e
is such that x-ly(x) as the L a p l a c e
is of
integrals
for A
and b
T h e class A 2 of L a p l a c e factorial solution
series of
expansions.
(0.i) or
(0.2)
since if the f a c t o r i a l the formal
series
In sect.
integrals
series
solution
there
to a formal
exists
which
exists
admit convergent
a factorial
solution
(0.5)
it m a y be c a l c u l a t e d
series
is i m p o r t a n t directly
from
(0.5).
a s s u m e t h a t f(x,y)
the n o n l i n e a r
is r e p r e s e n t a b l e
conditions
similar
exists a solution
in the form of a L a p l a c e
Instead of
ck x
-X k
(0.5) we m a y h a v e
,
case of
as a L a p l a c e to those
(0.I)
integral
and
(0.2).
formal integral
formal
Now we
o f a f u n c t i o n ~(t,y)
for the c l a s s e s A 1 and A2.
in this c a s e w e s h o w t h a t if there e x i s t s a
expansion.
of f u n c t i o n s
The problem whether
corresponding
4 and 5 we c o n s i d e r
which satisfies
consists
solution
(0.5)
which has
Also
then there
(0.5) as a s y m p t o t i c
solutions
X k ÷ ~ as k ÷
o of
(0.i)
or
(0.2).
For these
formal
solutions
a result
similar
to t h a t for
(0.5)
holds. Solutions
of
(0.i)
s t u d i e d b y Poincar~, others.
Following
or d i f f e r e n c e
Horn
= Yo +
Volterra
We show that a solution space o f a n a l y t i c
(0.2)
in the form of L a p l a c e
Horn,
Trjitzinski,
([8] - [12]) we t r a n s f o r m
equation
y(x)
into a s i n g u l a r
and
Birkhoff,
integrals
Turrittin,
have b e e n
Harris,
the d i f f e r e n t i a l
S i b u y a and
equation
(0.i)
(0.2) b y m e a n s of
S o
e -xpt w ( t ) d t
integral
equation
o f this i n t e g r a l
functions
for w
equation
with exponential
(here p = I in case of exists
bounds
in a s u i t a b l e
in a sector.
(0.2)). Banach
T h i s leads to a
27
solution of Volterra
(0.i) or
(0.2) with the d e s i r e d properties.
integral equations
In sect.
6 we give applications
when formal solutions of solutions
in asymptotics
(0.i) and
in the sense m e n t i o n e d
for linear equations
of the results
Malmquist
above.
Also an application
[18],
2-5. Here we show analytic
to a reduction
The differential
[7]
and Iwano
[14],
(0.i) has been investigated
in [2], where also functional
in y has been considered
[8] - [12], T r j i t z i n s k y
Harris and Sibuya
[24, ch. ll]. The linear case of
type are considered.
[4].
theorem
is given.
[16], T u r r i t t i n
ris Jr. and myself
in sect.
(0.2) exist to w h i c h correspond
Our results are related to the w o r k of Horn
aleo W a s o w
The r61e of singular
has been explained by Erd61yi
equation
differential
equations
(0.I) where f(x,y)
[17], [15], cf.
by W.A. Harof a certain
is a polynomial
in [i].
I. LAPLACE INTEGRALS A N D F A C T O R I A L SERIES We shall consider cases w h e r e
the differential
grals. We use two classes of Laplace DEFINITION
and difference
(0.3) holds and the c o e f f i c i e n t s
I. Let p be a positive
@i ~ arg t ~ 82 }
inclusive
b
integrals.
integer,
equations
ii) ~
of
(0.2) in
They are d e f i n e d as follows:
@I ~ @2' ~ ~ 0. Let S 1 = {t 6 ~ :
the p o i n t 0. Then a I (@i' @2' g' P) is the set of
functions ~ such that I i) t i - p ~ 6 C (SI, ~n) and, if @i < @2' then ~ is analytic o S1
(0.I) and
b e l o n g to a class of Laplace inte-
in the interior
S 1.
(t) = O(1) exp
(~lltl)
as t ÷ ~ o n S 1 for all ~i > ~"
m
iii) ~
(t) ~
X tOm m=l
t ~ -i as t + 0 on SI, where ~ m 6 ~n, m = I, 2 . . . .
Let (i.i)
G1~
Gi(~)
= {x 6 ~ : B @ £ [@1,@2]
Then AI(01,
@2' ~' p) is the set of analytic
such that Re
functions
(xPe i@) > g}.
f : G1 + ~n such that
i0 (1.2)
~(x) = fo +
s~e o
e -xpt ~ ( t ) d t ~
f
o
+ L ~(x), p
x£Gi(~) ,
where fo £ ~n and ~ 6 a I (@i' 02' U, P)We now define
subsets a 2 (m, ~) and A 2 (~, U) of a I (@, 8, g, i) and
A I (@, 8, g, i) where m 6 ~, ~ + 0, ~ ~ 0 and @ = - a r g
~. Let us agree that a
function is analytic on a closed set if it is continuous lytic in its interior.
on the set and ana-
28
D E F I N I T I O N 2. Let ~ 6 ~, m ~ 0, O = - arg m, H > 0. Let S 2 = $2(~) be the compon e n t of {t E ¢ : Ii - e-~t I < I}
t h a t c o n t a i n s the ray arg t = @. T h e n a2(~,~)
is
the set o f f u n c t i o n s 02: $2(~0) ÷ Cn such that: i) 02 is a n a l y t i c on S 2(~). ii) 02(t) = 0 (i) exp
(HiItl)as t + ~ on s2(w)
for all ~I > ~"
Let G 2 = G2(~I) = {x E ¢: Re(xe i8) > ~}. T h e n A2(m,~) functions f: G2(U) + Cn w i t h the r e p r e s e n t a t i o n
is the set of analytic
(1.2) w h e r e p = 1 such that
02 6 a 2 (~,~) and fo 6 ~n. For short we will o f t e n d e n o t e the classes of Laplace integrals A d e f i n e d a b o v e b y AI,
A 2 or A 1 (H), A2(H)
if we o n l y w a n t to stress the v a l u e of the
p a r a m e t e r ~. Moreover, we w i l l use a similar d e f i n i t i o n for m a t r i x functions. It is w e l l k n o w n (1.3)
(cf. D o e t s c h
[3, p.45,
174] that f 6 AI(@I,
@2' ~' p) implies
f(x) ~ fo + I F (m) q)mX-m as x ~ m= i
on any c l o s e d subsector of G 1 of the form: -
½7 - 8 2 + £ ~ arg x p ~ ½7 - 8 1 - E, E > 0.
For short we shall say in this case that Conversely,
(1.3) holds o n closed subsectors of G I.
if f is a n a l y t i c on a closed sector G such that G I C G ° and
(1.3) h o l d s
o n G, then f E A 1 (@I' 82' D' P) for some ~ ~ 0. If f E A 2 (~, ~) then f is r e p r e s e n t a b l e by a factorial series (1.4)
f(x) = f
+ o
m~fm+ I
E m=0
~
(~ + I) ...
, x E G2(~) , (~ + m)
where f
6 ~n if m 6 ~ (cf. D o e t s c h [3, p.221]. m Conversely, if (1.4) holds, then f has a L a p l a c e integral r e p r e s e n t a t i o n
(1.2) w i t h p = I, @ = -arg ~ u n d e r s o m e w h a t weaker c o n d i t i o n s on ~ than in d e f i n i t i o n 2: 02(t) = 0(i)
exp
(~lltl) o
o < e < ~ and 02 is a n a l y t i c in S 2 If f E A2(~, of G2:
~), then
IIm ~t I ~ ~ - 6 for all HI > D~"
(1.3) w i t h p = 1 h o l d s as x ÷ ~ on any closed subsector
larg x - O I ~ ½7 - ~ (0 < e < ½z). Conversely,
w i t h p = i holds as x + ~ on factorial
as t ÷ ~ o n (~)
series
if f 6 A2(~, ~) and
(1.3)
larg x - 6 I < ½n - g, then we m a y c o n s t r u c t the
(1.4) from the a s y m p t o t i c series: we may e x p a n d each term in
(1.4) in an a s y m p t o t i c p o w e r series, c o m p a r i s o n w i t h
(1.3) n o w gives a r e c u r s i o n
formula for the fm+1" A l t e r n a t i v e l y we may w r i t e x -m as a factorial series; s u b s t i t u t i o n in (1.3) and c o m p a r i s o n w i t h
(1.4) g i v e s also a r e c u r s i o n f o r m u l a for
fm .For the explicit form of this formula c f . W a s o w [23,p.330] In this w a y w e sum a s y m p t o t i c series for functions in A2(~,~) b y factorial series. This is a useful p r o p e r t y since factorial series converge u n i f o r m l y in half planes.
This p r o p e r t y
will be u s e d in the following sections w h e r e we encounter formal p o w e r series solu-
29
tions w h i c h u n d e r c e r t a i n c o n d i t i o n s are a s y m p t o t i c e x p a n s i o n s of solutions in A2(~,~)
and c o n s e q u e n t l y m a y be summed to any d e g r e e of a p p r o x i m a t i o n
rial series.
If m > I, then S 2 ( m w ) C S 2 (~) and so A2(~,~)
ly factorial series
c A2
(m~,~). Consequent--
(1.4) also are r e p r e s e n t a b l e b y factorial series
with parameter me instead of
by facto-
(1.4) on G 2
~ if m > I.
If fl' f2 6 Aj then also fl f2 6 Aj since
q91 ~ %92 6 aj
if
~9I, q02 6 aj
.
2. THE L I N E A R D I F F E R E N T I A L E Q U A T I O N
We n o w c o n s i d e r the d i f f e r e n t i a l e q u a t i o n
(0. I) in the case that it is
linear and that it is a c o u p l e d s y s t e m of a s y s t e m w i t h a s i n g u l a r i t y of the first k i n d and a s y s t e m w i t h a s i n g u l a r i t y of the second kind. To formulate this we p a r t i t i o n n x n - m a t r i c e s along the n I - th row and column w h e r e 0 < n I < n:
where
Mj h
is
vectors f =
an
n.
x n h matrix,
n2 = n
-
n 1.
A corresponding
2
after the n I - th component will be used.
partitioning
of
N o w consider the system
(2.1)
xl-P
d__yy= A ( x ) y + b(x) dx
w h e r e p is a p o s i t i v e integer, and c o n c e r n i n g A and b we assume either case I : A, b 6 A I (81' @2' ~' p) or case 2: p = i and A, b 6 A 2 ( ~ , ~). T h e n we have r e p r e s e n t a t i o n s
(2.2)
A(x) = A
+ Lp~(X)
o
'
b(x) = b
o
+ L 8(x) p
and a s y m p t o t i c e x p a n s i o n s
(2.3)
A(x)
~
Z m=O
A x -m, b(x) ~ [ b x -m as x ÷ m m=0 m
in closed subsectors o f G 1 in case I and G 2 in case 2. We assume 21 Allm = 0, A 12m = 0, b Im = 0 if m = 0,1,..., p-l; A 0 = 0, (2.4) A 22 + ptI is n o n s i n g u l a r in S in case j o n2 j "
30
Then
THEOREM
we have
i. Suppose
Xo
c
m
x - m ~s a formal
solution of (2.1). Then there exists
an analytic solution y of (2.1) which belongs
to A I ( 0 I, 0 2 , v, p)in case i and
to A 2 ( ~ , ~) in case 2 such that -m (2.5)
y(x)
~
X 0
c x m
as x ~ ~ on any closed subsector of G 1 in case i and of G 2 in case 2. The solution y with these properties
is unique.
REMARK.
formal
In c a s e
factorial
PROOF.
2 we m a y
series
Let u =
which
sum the
satisfies
(2.1)
N-I -m Z c x , a partial m 0
xl-P
d_uu = A ( x ) u dx
solution o n Re
sum of the
+ b(x)
~ c x -m to a c o n v e r g e n t
(xe l@
> ~
formal
(cf.
sect.
solution.
i).
Then
- c(x)
where
c 6 A. a n d c 1(x) = 0 ( x - p - N ), c 2 (x) = 0(x -N) as x + ~ on c l o s e d s u b s e c t o r s 3 of G.. H e n c e w i t h y - u = v w e g e t x I-p d v = A(x) v + c(x) as e q u a t i o n e q u i v a l e n t 3 dx t o (2.1). So it is s u f f i c i e n t
to p r o v e
p + N - i, b 2 = 0, h = 0,I, assume
this
the theorem
..., N-I
latter
condition
B(t) ~
Z m=N
in c a s e b hI = 0, h = 0,
for a s u f f i c i e n t l y
large
f r o m n o w o n or e q u i v a l e n t l y
by
.. .,
integer
(2.2)
(cf.
N. W e (1.3)
m__ 1 (2.6)
We seek a solution A.. 3
If y = L
(2.7)
8m t p
y of
as t ~ 0 in Sj,
(2.1) w h i c h
is 0 ( x -N)
~h1 = 0 if N < h < N + p - i.
as x ~ ~,
and which
belongs
to
w is of c k a s s A. t h e n P 3
xl-P
dxd--YY= L p
(-ptw) , A ( x ) y
= Lp(A0w
Hence
+ ~ * w).
(2.1) h a s a s o l u t i o n y = L w o f c l a s s A. iff - p t w = A w + ~ * w + B an~[ P 3 o w 6 a . ( ~ ) . T h i s e q u a t i o n f o r w is a s i n g u l a r V o l t e r r a i n t e g r a l e q u a t i o n . 3 1 l-If t P v 6 C ( S , %n) we d e f i n e 3 (2.8)
Tv = -
(A + p t I) -I o
With
(2.9)
~ = -
(A
+ p t o
I)-is
(~ * v).
31
the equation
(2.10)
for w
is equivalent to
w = Tw + ~.
The assumptions
(2.11)
on A 0 imply that
(A° + p t I) -i = diag {p-lt-iInl,
(A~ 2 + p t In2)-l}
and that (2.12)
(A 22 + p t I )-i and t(A + p t I) -I 0 n2 o
are uniformly bounded on S.. So if n I > 0 then T is singular in t = 0. 3 We solve (2.10) in a Banach space V N of functions v : S. ÷ ~n such that N 3 -t
P v is analytic
(2.13)
II
in S. and 3 N i-vl~ = sup It p v(t)] t6S. J
Here ~i is a fixed number,
_l/lit] e
l/ where p is the parameter
or A 2 ( ~ , l/). It is clear that V N is a Banach space with definition will be used for m a t r i x - v a l u e d Since b £ Aj , it follows from Using
(2.9),
(2.6),
(2.11) and
l/ in AI(81,
norm
(2.14)
tk-i
(2.2) that 8(t) = 0(e l/lltl) as t + ~
Moreover,
in Sj.
(2.12) we deduce ~ 6 V N-
6 Vp,
2h
A 6 Aj,
(2.2) and
6 Vl, h = 1,2. Since
, tm-i = B(k,m) tk+m-I if Re k > 0, Re m > 0,
-~ we see that t p
If.IfN. A similar
functions.
Next we show that T maps V N into V N. From the assumption (2.4) we deduce that l h
82, p, p)
1- N+--L (~ * v) I and t
P
(~ * v)
are analytic on S. if v 6 V N. J
if t 6 S. then 3 _N_ I
I t-l((~ * v) l(t)l < (ll°~ll]lp + ]] ~1211 p/ e!/ll t ] Ilvl! N I t - 1 (1 , t p Hence, by
(2.15)
(2.11)
]]{ (Ao + p t i) - 1 ( ~ *
v)}lll N
t~ 1 (tl £1 IIp+ll £2 IIp) tlvtlN
Similarly
l/llti I(~ * v) 2(t) l < II all i e and therefore
i
-- - I
IIv II N Itp
-- - I
* tp
1
)l-
82
(2.16)
I[{(A° + p t I) -I
p p < ll~lq1 livllN Bc!,~)
(a • v ) } 2 1 1 N
_
i It p
sup t6S ] Hence exists
a
with
(2.8)
constant
and
(2.12)
(A 22 o
we see
K independent
of
+ p t I
) - 1 ln2
that
N such
T maps
VN i n t o
VN a n d
that
there
that
[ITII N
N > N --
o
--
Now going
backwards
y = 0 ( x -N)
we easily
verify
as x + ~ in c l o s e d
Hence,
if N > N --
o f the o r i g i n a l
and
Pl
. o
that
subsectors > Z there
y = L w satisfies (2.1) a n d P . ] exists a unique solution y = co + L w of G
o
p
equation
(2.1),
without
assuming
(2.6),
such
that
1-! t
P w is a n a l y t i c
w(t)
on S. a n d 3 N-I X m= 1
=
m
c
N
-- -i -- -I tp + 0(tP ) as t ÷ 0 in S. , 3
m F (m/p) Plltl
W (t)
= O(e
Now the uniqueness
implies
solution
y 6 Aj (~i)
solution
y belongs
COROLLARY.
) as
such
that
that
t
÷ ~ in
w does
(2.5)
to t h e c l a s s
S.. 3
not depend
holds.
o n N. H e n c e
By v a r i a t i o n
we h a v e
of ~i w e
a unique
see t h a t
this
A. (~).~3
We make the same assumptions as in theorem i except that the cases
i and 2 are modified as follows: Assume
(2.17)
where ~ ,
A(x)
bh,
=
p-i Z h=0
x - h ~(xP),--
h = 0,1 . . . . .
p-l,
are
b(x):
p-i X h=0
x - h b~(xP),-"
of class A I ( 8 1 , 8 2 ,
~,
I) in case i and of
class A 2 (~,~) in case 2. Then, if 5-~ c m x -m is a formal solution of (2. i), t h e r e exists an analytic solution y(x)
= X ~ - ~" 0 x -h ~ h ( X p) where ~h 6 Aj (p) and
holds as x + ~ in
(2.18)
-
--2 - 82 + e _< p a r g x _< ~ - 81 - e(e
where 81 = 82 = - a r g ~ in case 2.
> 0),
(2.5)
33 This
may
be s h o w n
using
a rank
reduction
scheme
of T U R R I T T I N
[21]:
substitute
~T
x = ~i/p, u(~) = (~o(~)
'
"'''
(~))T
Yp-I
v(~) = (~o(~)..... ~p-i (~))T. Then
(2.1)
is e q u i v a l e n t du --= d~
(2.19)
M(~)u
where
From
(2.4)
M(~)
to
+ v(~),
~ Z M ~-m, 0 m
we may deduce
of Mo w i t h
nlp.
So we m a y
apply
In c a s e p = 0 in m a y be t r a n s f o r m e d
o
(2.1)
Hence
Mo
theorem we have
to t h e c a s e
AIo © 1
I
1 p
that M ° has nlP
multiplicity
nonsingular.
M
rows
(2.19)
a regular
"'-
A op-I
..... " .A I o
"-
of z e r o s
is s i m i l a r I to
A1 o •
to d i a g
both
0 is e i g e n v a l u e
{ 0 , M 22}O w h e r e
and the result
singular
p = I by dividing
and that
"A o o
point sides
M 22o is
follows.
in ~. T h i s o f the
[] case
equation
b y x: d y _- x-i A ( x ) y d-~
(2.20)
If ~(x)
= x -I A(x),
involved: now give
Here
we have ~ = 0 a n d so w e n e e d n o t p a r t i t i o n the m a t r i c e s o n I = n, p = I a n d (2.4) is s a t i s f i e d for (2.20). O u r r e s u l t s
we take Laplace
3. T H E L I N E A R
transforms
DIFFERENCE
we consider
(3.1)
By means
+ x-lb(x)
related
to f o r m a l
EQUATION
the equation
z ( x p + i) = A(x) z(x p) + b(x)
of the substitution
(3.2)
we transform
z(x)
= y ( x I/p)
(3.1)
into
.
power
series
solutions.
34
y ( ( x p + i) I/p) = A ( x ) y ( x )
(3.3)
We distinguish
t w o cases.
c a s e 2 w e assume:
i we assume:
A, b 6 AI(81,
p = i, A, b 6 A 2 ( w , p). We a s s u m e
Ao = diag
in c a s e
82, p, p) a n d in j:
{In I' A ~ 2}' blo = 0, A Ibm = 0, b Im = 0 if h = 1,2; m=l, .... i~-i
if k 6 ~ k
(3.4)
In c a s e
+ b(x).
{0} t h e n 2 k ~ i ~ S j ; ~
A22 -t - e I is n o n s i n g u l a r o n2 H e r e S. a n d G. are d e f i n e d ] ]
~
Icos 8 I if 81 ~ @ < ~2;
on 8.. 3
in d e f i n i t i o n
j o f sect.
i. T h e n we h a v e
2. Suppose ~ c x -m is a formal solution of (3.3) a n d Re t is bounded o m above on sj. Then there exists a function y E A I ( 8 I, 8 2 , u, P) in case i,
THEOREM
Y 6 A 2 ( ~ , p) in case 2 which satisfies
(3.3) if (xP+l) I/p E Gj_ and such that
with (3.2) is satisfied, and which satisfies of G
]
(3.1)
(2.5) as x ÷ ~ on closed subsectors
in case j. The function with these properties is unique.
PROOF: instead
The proof of
is q u i t e
similar
to t h a t o f t h e o r e m
y ( ( x p + i) I/p) = L
(e -t w(t)) (x) , if P
Hence the integral
equation
(3.5)
(e -t I - A )-i o
w(t)
Instead of
i. T h e d i f f e r e n c e
is t h a t
(2.7) we h a v e
(2.11)
(3.6)
=
and
(2.10) w i t h
(xP+l) I/p 6 G.. ]
(2.8) a n d
(2.9) n o w r e a d s
(~ * w + 8)(t) .
(2.12) we n o w h a v e
(e -t I - A )-I = d i a g o
{ (e -t - I ) - i i
(e-tI n I'
n2
- A22) -I} o
and (3.7)
(e-tI n2
- A22) -I and t ( e - t I o
- A )-i o
are uniformly
b o u n d e d on S.. H e r e w e u s e the f a c t t h a t le-tl ÷ ~ as t ÷ ~ o n S.. ] ] w i t h t h e s e a l t e r a t i o n s we m a y s h o w t h a t a l l s t e p s in the p r o o f o f t h e o r e m i
with
slight modifications If R e t is b o u n d e d
valid.
remain valid,
and t h e o r e m
b e l o w o n S. t h e a s s e r t i o n
2 follows.
of theorem
[]
2 does not remain
In t h i s c a s e Re t ÷ ~ and e !t ÷ 0 as t + ~ o n Sj. H e n c e t ( e - t I
is n o t b o u n d e d
o n S, (cf. ]
(3.6)), and t h e p r o o f o f t h e o r e m
- Ao)-i
2 does not go through
in t h i s case. If A -I e x i s t s w e m a y m o d i f y o
that proof
for t h i s case.
First we may solve
35
(3.5) in a n e i g h b o u r h o o d
of 0 in S.. Then the solution may be extended to a 3 in S. (cf. sect. 4.3). We may estimate this solution by ] the right hand side of (3.5) since (e-tI - Ao)-I is bounded in a
global solution majorizing
neighbourhood
of ~ in S.. Applying Gronwall's lemma we get an exponential bound ] for the solution. In this way we get a solution of (3.3) in Aj(p') for some
~' > p. We do not present details of the proof sketched is a special
case of theorem 6 in sect.
However,
a result corresponding
above,
to theorem 2 in the case that Re t is
bounded below on S. also may be o b t a i n e d by transformation 3 ~(x) = z(l-x). Then ~(x p + i) = A-I(x e ~i/p) ~ w h i c h is of the same type as A2(~,
-i
'
(x e~i/P),
Hence we deduce
(xp) - A-l(x e ~i/p)
of
b
(3.1). Let
ix e ~i/p)
,
(3.1). We now assume A -I, b 6 AI(8 I, 82' p' p) or
p). Then it is easily seen using
A
since this result
5.
b(x e ~I/p)
(1.2) that
6 A 1 (e I + ~, 82 + z, p, p) or A2(-~,
1.1).
from theorem 2 :
T H E O R E M 3. Suppose A -I , b 6 AI(81 , 82, ~, p) in case i and 6 A2(~, p) in case 2.
Assume
(2.3) as x ÷ ~ on G. and (3.4) holds in case j, j/= 1,2. Assume R e t i S ] and ~ c x -m is a formal solution of (3.3). Then there exists ] o m a function v E A (6 g~, ~, p) in case I, v 6 A~(,~, ~) in case 2 such that
bounded below on s
y(x)
= v((xP-l)l}p)Isat~sfies
(3.3) if
(xP-l)I/PZ6
Gj and
(2.5) as x ÷ - on Gj.
This solution is uniquely determined. Corresponding COROLLARY:
to the corollary of theorem
We make the same assumptions
and 2 are modified as follows: Assume belong to Al(el,
1 in sect.
2 we now have
as in theorem 2 except that the cases 1 (2.17) where ~ ,
g2, u, i) in case 1 and to A2(~,
hh, h = 0, 1 . . . . .
~) in case 2. Then,
p - I,
if
X~ c x
ts a formal solution of (3.3), there exists an analytic solution m p-i y(x) = h~0 "x-h ~ h (xp) where ~h 6 Aj and (2.5) holds as x ÷ ~ in (2.18) where 81 = 82 = - arg ~ in case 2.
4. THE N O N L I N E A R D I F F E R E N T I A L We consider
(4.1)
EQUATION.
the differential
equation
xl-P d_yy = f(x, y) dx
in the case that f(x, y) satisfies theorem I. We again consider
conditions
similar to those in sect.
2,
two cases j = i or 2 and use the same notation
S. and 3
36
G
as in d e f i n i t i o n
j of sect.
I. A s s u m e
3 H. (j = 1 o r 2). L e t Po > 0, p > 0, p a p o s i t i v e ] c a s e j = 2. W e h a v e
HYPOTHESIS
(4.2)
f(x, Y) I= f°(Y)
where
fo(y)
(4.3)
and t
+ {Lp~(y,
t)} (x), if
P qg(y, t) a r e a n a l y t i c m
qD(y, t) ~
uniformly
on A
Moreover,
if ~I > Z
Z m=l
(0; Do).
%01n (y)t p
in ~
integer,
(x, y) 6 G.] x A
p = I
in
(0; po ) ,
(0; p O ) x Sj, fo(0)
= 0 and
as t + 0 in S 3
Here ~m(y)
is a n a l y t i c
then there exists
in A
a constant
(0; po ), m = I, 2,
K depending
....
o n Pl s u c h t h a t
1 (4.4)
I~(Y,
t) l ! K
In t h e f o l l o w i n g =
(\~i' "'''
~n ) 6
~%0
It p
I exp
(~lltl)
on ~
we assume either hypothesis
1 = ~n
we d e n o t e
(0; DO) x S O . O H I or h y p o t h e s i s
H 2. If
I~I = ~i + "'" + ~n and
(y, t) = ~Ivl%0(Y' t)
and similarly
for ~
f
o
(y).
~Yl "'" ~nyn Df w i l l b e the d e r i v a t i v e of f • W e use the p a r t i t i o n i n g o o as in sect. 2. O u r m a i n r e s u l t is: THEOREM
4. Suppose A
o
of m a t r i c e s
and v e c t o r s
j = I or 2 and in case j:
= Dfo(0)
= diag
22 {O n , A ° }
'
22 A ° + p t I is n o n s i n g u l a r
o n S. 3
i II,~1 (4.5)
Suppose
{~
%0 (0, t)} 1 = 0 ( t
{~
fo(0)} I : 0 if l~l ! P
that
p
(4.1) possesses
) a s t + 0 in S. if ]
IvI < p ,
a formal solution I c x -m. Then there exists a m
number ~' > ~ and an analytic solution y o f (4.1) suchlthat y E A 1 (81 , 8 2 , p' , p) in case i and y E A 2 (~, ~') in case 2 and such that
(2.5) holds as x + ~
on
closed subsectors of G.. This solution is unique. 3 The proof will be given with estimates, derived,
in sect.
a neighbourhood solution solution
in sect.
in s e v e r a l
4.2 an i n t e g r a l
steps:
in sect.
equation
4.1 w e g i v e s o m e l e m m a s
equivalent
to
4.3 w e s h o w t h a t a s o l u t i o n o f t h i s i n t e g r a l
o f t = 0, in sect.
in S. a n d in sect. ] o f (4.1).
4.4 t h i s s o l u t i o n
4.5 we estimate
(4.1) w i l l be equation
will be extended
the solution
and we obtain
exists
to a the
in
37
In section 4.6. we c o n s i d e r some g e n e r a l i z a t i o n s o f t h e o r e m 4.
4.1.
SOME
ESTIMATES
LEMMA 1. Let P, h and l be positive numbers. T h e n t h e r e K(n,l) independent of p such
(4.6)
~ m=0
PROOF. The
ml+h-I P F(ml+h)
exists a positive constant
that
< K(h,l) m a x (0h-l , e p) . --
e s t i m a t e is e v i d e n t for p < i. If p > i, we use the H a n k e l - i n t e g r a l
for the g a m m a f u n c t i o n and w e get for the l e f t h a n d side of
I
2~i
~
(0 +)
m~O
I
es
(~)ml+h-I
s
ds
(0 +)
I
s
(4.6):
I
2~i
e~S ( l - s - 1 ) - i
s - h as .
In the last integral w e choose as p a t h o f i n t e g r a t i o n a loop e n c l o s i n g the n e g a t i v e axis and the p o i n t s s = exp
(2gni/1), g 6 ~. The r e s i d u e in s = i gives
the main c o n t r i b u t i o n to the integral as P + + ~- In this w a y we obtain
L E M M A 2. Let p be a positive number or p = ~ and sj(p) = s 5 ~ n~
(4.6)°
(O;p),where
j = i or 2. Suppose z 6 c ( s . ( p ) , ~n)- a n d z is analytic in s.(p). Assume that 3 3
(4.7) where
I Z ( t ) i~ M I t l 1-1 exp ( ~ l l t l ) M > O, 1 > O, ~i ~
(4.8)
IZ*~
(t)
I
~ + k2} , where the path of integration in the Laplace integral is arg t = e.
PROOF.We use lemma 2. From (4. 12) and (4.8) we deduce (4.15)
K2
ID9 * z*W (t) l < -
r(l~ll)
e PIITI dT I -< -F(I~ll) -~
(Mr (i)) IVl ft ~
(MF(1)) I~l jltl ~
I (t-T) h-I e
u21t-TITI~II-I
o
h+]~ll-1 Itl
B(h,I~ll).
89
With lemma i the result easily follows.
4.2. REDUCTION OF THE DIFFERENTIAL EQUATION TO AN INTEGRAL EQUATION From hypothesis H. we deduce ] (4.16)
fo(y) =
[ b ~6I
y , ~2 iff
and
(4.24)
-ptw(t)
= AoW(t)
+ H(ZN, w) (t) - XN(t)
Here (4.25)
H(z, w) =
7 ~EI
b
{(z + w) *~ - z*~ }
+
I~I>2
E ~6I
B * { (z + w) *~ -z .9}
~+0
First we remark that H(z, w) exists
in S~ if z, w 6 aj(~') and that H(z, w) Ea=3 ~'') ] > z' on account of lemmas 3 and 4. Moreover, these lemmas imply that
for some ~"
L p ( A o W + H(ZN, w)) (4.23) and
(x) = f(x, ~N(X)
+ v(x))
- f(x, U N(X))
on Gj( ~" ). Hence
(4.24) are equivalent.
Next we (4.26)
rearrange
the terms
H(z, w) = ~(z,
.) * w +
I vEI
{B
(Z,.) * W *~ + b w'W}, ~
I~I>2 where
e(z,.)
= DqO(0,.)
+
{ ~! ID3m
r
f O (0)Z*9 + 9--~ i D ~ 9 ~ ( % ")* z *~ } ,
vEI (4.27) ~
(z,t)
=
8 (t) +
E
(v+O) O {b +O z *O +
We prove this for z = z N and w 6 aj(p').
M, and the estimate
~+o
( ~ ) ~ n
(4.27) converge uniformly
J~I+Iol .
8 +g ~ z*O} (t) .
To this end we use the estimate
•
for Z = z N and for z = w wlth ~, replaced by ~
in
.
,
>
p,
(4.7)
1
, 1 = - - a n d a suitable
P
Then lemmas 3 and 4 imply that the series
and absolutely on compact sets in S. and that ] -i
l~(z N, t) l < MIItP
eP31t I I
(4.28)
1 -i 189(Z N, t) I ~ M 1 ( ~ ) I W I I t P
for some ~3 > ~
e~31t I I
and a constant M 1 independent of ~. A second application
lemma 4 shows that the series in compact ~ets in Sj, and so
(4.26)
(4.26) are u n i f o r m l y follows from
absolutely
of
convergent on
(4.25) if z = ZN, w 6 aj(pl).
41
4.3. LOCAL SOLUTION
OF THE INTEGRAL
We first solve where S.(£) 3
(4.24)
EQUATION
in a Banach
= S. n ~ (0,£) 3
sp~ce VN(a)
of functions
such that tl-p w is analytic
w: Sj(e)
in S.(c) 3
÷ ~n
and
N (4.29)
I IWlIN = sup {It
Here g will be chosen We rewrite
(4.24)
P w(t) I: t 6 S
3
later on, a > 0. as w = Tw, where
(4.30)
Tw = -(A ° + ptI) -I H(ZN, w) + ~N
(4,31)
~N = (Ao + ptI)
Using
(4.22)
and
formal
solution
-I
YN "
(4.5) we deduce
Choose M 2 > ICll of
(£)}.
~N 6 V N, so in particular
~N 6 VN(¢).
{F(p-l)} -I +i, where c I is the first coefficient
in the
(4.1). Then i
(4.32)
IzN(t)I < (M2-1)
itp
i o n S 16M3, N > p. Then we have analogous
to
(2.15)
N --
I{(Ao + ptI)-I
e(z,.)
*
w(t)}ll
if w 6 VN(g) , 0 < e 0 (cf.4.2):.
Choose to 6 S.(p)3 with 21P < jtol < P" Let sT3 = s.(p)] N (s.-t3o ) and+ Here S + t
If
w 2) - H(ZN, w I) = H(z N + w I, w 2 - w I) in view of
Hence
Suppose
and
_
Wl)IIN < : ii w 2
With w I = 0 this implies
(4.25).
4.3. EXTENSION
1
H(ZN + W, W2
= {w 6 VN(E):
that
over t . Then S.(p) o 3
3 = S~+t3o"
and S~ are convex ]
sets. We transform decomposition analytic
the integral
equation
of u . v for scalar
in its interior:
+ on S. using the following ] u, v continuous on S.(p)G S~ and ] 3
(4.24)
functions
43
(4.39)
(u ~v)
(to+tl)
= {U(to+
.)~ v}
(tl) +
{V(to+
.)•
u}
(t I) + R(u,v)(tl),
where t R(u,v) (tl) = S o v(t + t I - T)U(T) t 1 o
(4.40)
[0, t l ]
and the paths of integration
and
[tl,
R(U, v) = R(V, u) and R(u, v) only depends Using induction
v
~k
+
if k >
k-I E { v *(k-l-j) j=l
for an n-vector
function we have
Ikl > 2
~(z,
+
to
Sj(p).
Here
on the values of u and v on [to, ti].
(to + tl) = k {V(to + ")~ v~(k-l))"
k 6 I,
=
t o ] belong
we may show
* R(v, v~J)}
2 and v ~° • R = R, v ~I ~ R = v ~R.
(4.41)
d~, t I E Sj,
tl)m
(tl),
From this formula we may deduce
z whose components
zmk(t
o
+ tl) -
n I
~=~
satisfy
k
] I
]
nE kl-i z~(k_(j+l)el ) m R(Zl' E i=i j=l n ~k E Zn n . . . . . l=l
(tl) +
the assumptions
{z.(to+ ]
that
above and
.)~ z~(k-ej ) } (ti) =
Zl~J ) (tl) +
~kl+ 1 *k I ,kl_ 1 *k 1 Zl+l ~ R(Zl , Zl_l ~-.. • Zl ) (tl)
.
Here e. is the n-vector whose components are zero except for the j-th component ] which is equal to one. From the definition of R and ~ it follows that ~ ( z , t I) is determined
on S? by the values of z on S.(p). ] ] If z satisfies (4.7) with ~I = o and 1 = 1 on Sj(p)
and
then we have from
(4.8)
(4.40) IR(z l, Z~ j)
(tl) I _< 2 M j+l (j_l)-------T PJ if j ~ i, t I E Sj ,
~k 1 *kl_ [ *k 1 IR(z I , Zl_ 1 *--- * z I ) (tl)l
ki+
....
k1
2 2(Mp) -i
{P(kl-l):
(kl+ ... + k]_l-l):}
if t I 6 S-. ] Combining these formulas with (4.41) and (4.8) we see that there exists a constant Mo independent of t I and z but depending on p and M such that
44
(4.42)
]~(z,
tl)II _< ~]-~°
, t I C Sj .
Now we transform of
the operator T into an operator ~ on $7. Let w be the solution ]n (4.24)of w = Tw on S.(P)3 (cf.(4.30)). If z 6 C (S~, (~) then we define
(4.43)
(~z)
(tl) = -(A ° + p(t ° + tl)
I) -I {~ ~ z(tl)
+ ~
(tl)}
if t I 6 S~. and n
* z(t I) = ~(ZN,.)*
z(t I) +
[ V61
, ('~-e,)
[ j:l
~j {8 (ZN,.) * w v
3
I~I>_2 * (~-e)
+ b w
] } • zj (t I) ,
~ ( t I) : ~(z N, to+ -) % w(t I) ~ R(~(ZN,
+
E v6I
{Sv(ZN,
.) , Rv
(w,.) +
~
.) ,w)(t I) - YN(to + t I) +
(zN, to+ .) * w *v +
I~I>_2 + R(Sv(z N, Using lemmas 2 and 4,
-), W *v) + b v R (w, .) }(tl). (4.28),
(4.42) we may deduce
that ~ and ~ exist and are
continuous on $7 and analytic in ($7) °. These functions only depend on the values 3 ] of w in S. (p). 3 The definitions of T and ~ in (4.30) and (4.43) and (4.39)imply (~)
(to+t I) = {~ W(to + ")}
(tl) if t16 $73 n (sj(p) -to).
Hence w
solution of ~z = z on this set. Since the linear Volterra
(to + .) is a
integral
equation
z = ~ z has a unique solution in S7 w h i c h is analytic in (sT) O and continuous 3 3 on S~, this solution is a continuation of w(t + .). Denoting this continuation o J also by w(t + .) we see that w = T w on S.(O) U S < b e c a u s e of the relation of T o 3 3 and ~. Varying t o we get a unique solution of w = T w on S_3 (3),z hence on S.. 3 Thus we have shown that (4.24) has a unique solution w in S. w h z c h is continuous o ] on S. and analytic in S.. 3 ]
4.5. E X P O N E N T I A L
ESTIMATE
N O W we estimate (4.44) We rewrite
FOR THE SOLUTION
the solution w of
g(p) : sup {lw(t) l: t 6 S., 3 (4.24)
in the form
(4.24) on S,. Let 3 ItI: p}, if p > 0 .
(4.30) and use estimates
for
(A + ptI) o
-i
from
45
(2.12)
for H(ZN,
w)
from
(4.26),
(4.28)
and
the f a c t t h a t YN 6 Gj(~2) ( c f . s e c t . 4 . 2 ) . constants
M and d such that
(4.45)
g(p)
1 we have
(p) ,
where 1
= M {eP3 p +
( ' r i g ) (p)
~
2
d m g *m (p)
~
m:2 By c h o o s i n g
M > sup {g(p):
Following
Walter
m=1
p £ [0,1]}we
[23,
p.17]
d m (p~- - 1 e P B P ) :~ g~m( p } }
X
+
get
we f i r s t
(4.45)
solve
for p > 0.
v = Ttv.
If
u = Llv,
then
1 u(x)
= M(x-P3)-I
+ t,~ 5-
dmum(x) + M I" (1) ( x - p 3) P
m=2
This equation
has a unique
in x I/p, p o s i t i v e u(x) Let V contain
solution
= M x -I + 0 ( x
dmum(x)
V of ~ w h i c h
is a n a l y t i c
1
P) as x p ~
Re x ~ P4' w h e r e
1 (Lllu) (p) = M + 2 ~
=
X m:l
u in a n e i g h b o u r h o o d
for x > 0, x 6 V and 1
the halfplane
v(p)
P
P4 > ~3" T h e n
;4~ i~
ePX
{u (x) -Mx-l }dx'
P4-i ~
if p > 0. It f o l l o w s 0(exp
p4p)
t h a t v is r e a l - v a l u e d ,
as p + +~.
Suppose
In p a r t i c u l a r
there exists
g(po ) = V(Po).
Then
v(0)
we h a v e g(0)
= M
Po > 0 s u c h t h a t 0 < g(p)
(4.45)
gives
(4.46)
a contradiction.
lw(t) I ~ K O e x p
for some c o n s t a n t
Consequently
and v(p)
=
< v(p)
if 0 < p < Po a n d
implies
g ( p o ) < (Tlg) (po) < (TlV) (po) = V(Po) which
(cf.[3, p.174])
< v(0).
,
H e n c e g < v on ]R + and so (P41tl),
if t 6 Sj
K . o
LpW e x i s t s
o n Gj a n d i s
a solution
of
(4.23).
Therefore
y = UN+
+ L w is a s o l u t i o n of (4.1). In the s a m e w a y as in the p r o o f o f t h e o r e m i we m a y P s h o w y 6 J j ( P 4 ) a n d (2.5) as x ÷ ~ o n G . T h i s c o m p l e t e s the p r o o f of t h e o r e m 4. ]
46
4.6 A G E N E R A L I Z A T I O N In s e v e r a l
(4.47)
cases
y(x)
=
(4.1) h a s f o r m a l
Z
dk x
solutions
of the form
-k.K
Ikl=1 where k =
..., k ) 6 ~ g + 1 (g a p o s i t i v e i n t e g e r ) , K = (i, 0 if j = i , ..., g and k . < = k o + klKl + ... + k g < g (cf. sect. 6, (ko,
application
V).
In t h e s e
5. A s s u m e
THEOREM
(4.48)
c a s e s we h a v e the f o l l o w i n g
hypothesis
A m = F(~)
generalization
of t h e o r e m
4.
H I . Let
Dqgm(0) , b v o = by' b v m _- l__u! F(~)agp q)m(0), m = I, 2 . . . .
and assume A ll
= 0,
A 12 = 0 ,
m
b1
m
= 0 if
m = 0 .....
p-1
and
w 6
I,
I~1
+ 1,
~m
(4.49) A 21 = 0, A 22 + ptI o o
If
(4.1)
has a formal
solution
an analytic solution y = L w P oo (4.50)
y(x) N
y
is n o n s i n g u l a r (4.47) of(4.1)
on S I.
then there exists a real number" ~' > ~ and on GI(~')
(cf.
(l.l))such
that
-k. K
dk x
Ikl=* as x + ~ on closed subsectors PROOF. with
The proof
the s e q u e n c e Then
is s i m i l a r
Ikl> i be a r r a n g e d 11, 12,
of GI(V').
This solution is unique.
to t h a t of t h e o r e m
in o r d e r o f i n c r e a s i n g
.... H e n c e 0 < Re I i < R e 12
0 if 81 < @ < e2 3 , _
(5.6)
A
o
= Df
22 o
o
(0) = d i a g {Inl, A 22} o '
is n o n s i n g u l a r if Re t is b o u n d e d b e l o w on S.. 3
T h e n we h a v e T H E O R E M 6. Assume hypothesis H.,
(5.3) -
3
(5.6), with j=l or2. Assume
1-19t ~0(O,t)} 1 = 0 ( t
P
(5'.7) ~
Suppose
fo(O) = 0 if
) as t ÷ 0 in S. if 191 < p 3
l~I < p
(5.2) has a formal solution I c x -m. Then there exists a number
i m ~' > ~ and an analytic solution y of (5.2) such that y 6 A 1 (e l, e2,v', p) in case I a n d y 6 A2(~o, ~') in case 2 and such that (2.5) holds on closed subsectors of G . 3
This solution is unique.
PROOF. T h e p r o o f is a m o d i f i c a t i o n of that of t h e o r e m 4. T h i s m o d i f i c a t i o n is the same as u s e d in the p r o o f of t h e o r e m 2: the l e f t h a n d side o f
(4.24) n o w
48
reads e-twit)
and in
(4.30),
(4.31)
etc.
we r e p l a c e
(A
+ ptl) -I by
(A -e-tI) -I
91 In v i e w of
Theorem
Analogous
(5.4)
(5.6)
the m a t r i x
6 is an e x t e n s i o n to t h e o r e m
7. Assume
THEOREM
and
o
(A -e-tI) is b o u n d e d on S . ~ A(0;I) o 3 and the m a t r i c e s in (3.7) a r e b o u n d e d on S. N A(0;I) and e v e n on S~ if 3 3 Re t is b o u n d e d a b o v e on S.. Using these m o d i f i c a t i o n s the p r o o f of t h e o r e m 4 3 goes through. D REMARK.
(3.6),
of a r e s u l t of Harris
5 we have the following
hypothesis
HI,
(5.3)
generalization
(5.6) with
-
a~id S i b u y a
[7].
of t h e o r e m
6.
j=l and in the notation
of
(4.48): A 11 = 0, A 12 = 0,if m=l,..., m m
(5.8)
If (5.2) has a formal solution
p-l;
(4.47)
b uI m :
o if
m=o . . . . .
p-1
and ~ ~ ~ , b t + I~
then there exists a real number
~' > p and an analytic solution y = L w of (5.2) on GI(p') (ef.(l.l))such that P (4.50) holds as x + ~ closed subsectors of GI(P'). This solution is unique. PROOF.
The p r o o f
is a m o d i f i c a t i o n
tions as in the p r o o f of t h e o r e m
of that of t h e o r e m
5, w i t h a n a l o g o u s
modifica-
6.
6. A P P L I C A T I O N S In this s e c t i o n we first g i v e s u f f i c i e n t series
solutions
applied.
Finally
of
(0.I)
and
we d e d u c e
(0.2)
exist,
a reduction
conditions
in o r d e r
so t h a t the p r e v i o u s
theorem
for linear
t h a t formal
theorems
differential
m a y be
equations.
I. A f o r m a l n o n - t r i v i a l
s o l u t i o n ~ c x -m of (2.1) w i t h b ~ 0 e x i s t s if (2.4) is o m A 12 = 0, A II is s i n g u l a r and A 11 + mI is n o n s i n g u l a r for m = I, 2 .... P P i P nl N o w we m a y choose for c an e i g e n v e c t o r c o r r e s p o n d i n g to the e i g e n v a l u e 0 of A II satisfied,
o
and e 2 = 0. o S u c h a formal is satisfied, m = i, 2,
p
solution
exists
for
(3.3),and
A 12 = 0, A 11 is s i n g u l a r P P
so for
(3.1), w i t h b -= 0 if
and A II + m I is n o n s i n g u l a r P P n1
(3.4)
for
...
The difference
in the c o n d i t i o n s
for
(2.1)
and
(3.3)
stems
from the formal
relations: x l-P
dy d~
= X - mc x - m - p , m 1
(6.1) y((xP+l)
I/p)
- y(x)
= X i
Formal equations
solutions
(2.1)
and
c x -m-p m
of the type c o n s i d e r e d
(3.3)
under
~ ~ + P
X g=l
x-Pg}. g+l
above exist for the nonhomogeneous
the same c o n d i t i o n s
except
t h a t n o w A II a l s o h a s P
49
to be n o n s i n g u l a r ; treatment
then c
d i f f e r s from c in the p r e v i o u s case. A d e t a i l e d o o s o l u t i o n s of (2. i) a n d (3.3) has b e e n g i v e n b y ~ i r r i t t i n [19 ].
of formal
II. R e s u l t s
for formal
s o l u t i o n s ~ c x %-m a n a l o g o u s to t h e o r e m s 1-3 m a y be o b t a i n e d o m of the e q u a t i o n s (2.1) and (3.3) v i a the s u b s t i t u t i o n
by a t r a n s f o r m a t i o n y(x)
= x%~(x).
formal
The e q u a t i o n
for ~
is of the same type as that for y and has the
solution
~- c x -m o m The a p p l i c a t i o n s I and II of t h e o r e m
concerning
factorial
series
as s o l u t i o n s
solutions
h a v e the same h a l f p l a n e
Turrittin
g e t s a smaller
represents
the s o l u t i o n
III. A m a t r i x
solution
i contain of
of c o n v e r g e n c e
halfplane
the r e s u l t s
of T u r r i t t i n
(2.1) w i t h b -= 0. However, as the c o e f f i c i e n t s ,
of c o n v e r g e n c e
for the f a c t o r i a l
[18]
here the whereas
series which
(cf.[2]). of
(2.1) a n d
(3.3) w i t h b ~ 0 m a y be o b t a i n e d
as follows.
Assume
A 12 = 0 and there is no p a i r of e i g e n v a l u e s of A 11 w h i c h d i f f e r b y a P P p o s i t i v e i n t e g e r in the case of (2.1), w h e r e a s in the case of (3.3) we assume the same
for p Ap11 . If the a s s u m p t i o n s
satisfied
and b ~ 0 we m a y c o n s t r u c t
and U ( x ) x
of
subsectors
(3.3)
concerning
s u c h that U £ J. and U(x) ÷ 3 for the d i f f e r e n c e
o f G.. We g i v e the p r o o f 3 pA~l Y(x)
= U(x)x
in
(3.3).
1,2 41 or 3 are
A in t h e o r e m s
an n x n l - m a t r i x
solution
U(x)x ~ of
(2.1)
as x ÷ ~ in c l o s e d equation
(3.3).
Substitute
T h e n we g e t _A 11
U((xP+I) I/p)
The r i g h t h a n d matrices
= A(x)
side d e f i n e s
U. P a r t i t i o n i n g
U(x)
a linear
(l+x -p)
P
transformation
T in the space V of n x n l-
these m a t r i c e s
(TU)I(x)
= {All(x)
(TU)l(x)
= ul(x)
Ul(x)
after the n l t h r o w we get ii -A + Al2(x) U2(x)} (l+x -p) P ,
hence + x-P(A~IuI(x)
- U I ( X ) A ll)p + 0(x-P-l).
ii ii t U1 b N U. - U , N has as e i g e n v a l u e s he Ii p i i p d i f f e r e n c e s of the e i g e n v a l u e s of A . H e n c e p times this t r a n s f o r m a t i o n has P eigenvalue 0 with eigenvector I and no o t h e r i n t e g e r is eigenvalue. A l s o n1 (TU)2(x) ~ A 22 U 2 (x) as x + ~ in G . H e n c e all c o n d i t i o n s of a p p l i c a t i o n I are o 3 s a t i s f i e d and the r e s u l t for U follows. Similarly, t h e d i f f e r e n t i a l e q u a t i o n Here the linear
transformation
(2.1) m a y be t r e a t e d
(cf.[2]).
IV. We n o w g i v e s u f f i c i e n t
conditions
such t h a t there e x i s t s
c x -m of (4.1) in case h y p o t h e s i s H and 1 m 3 (4.48) w e d e d u c e the formal e x p a n s i o n
(4.5)
a formal
are satisfied.
From
solution (4.2)
and
50
f(x, y) : (2 0
A x-m)y + [ m ~EI
( [ b x -m) y~ + [ m=0 vm m=l
b
x -m om
I~I>S F r o m this we m a y d e d u c e that there exists a formal solution of
(4.1) if n 1 = 0
o r if n. ~ I and i)
Alllhas P
no eigenvalue
(6.2)
which
is
a negative
integer
and
b I = 0 if 2 < I~I < p + l - m %TH ---
or ii) A II has e i g e n v a l u e -i, but no other n e g a t i v e integer is e i g e n v a l u e of A II , P P (6.2) h o l d s and A 12 p
(A22)-Ib 2 = b 1 o ol op+l
In these cases we m a y a p p l y t h e o r e m 4. An a n a l o g o u s result
holds for the d i f f e r e n c e e q u a t i o n
(4.5) we n o w assume ii replaced by p A P
(5.3)-(5.6)
V. A formal solution
(4.47) of
H~ and ]
o
(5.2): instead of Ii
i) or ii) above w i t h A
P
(4.1) a s s u m e d in t h e o r e m 5 exists if h y p o t h e s i s
(4.5) are s a t i s f i e d and
a) ~ i' "''' < g b) k
and the c o n d i t i o n s
are e i g e n v a l u e s of -A II w h e r e R e < • > 0, j= I, ..., g; P ]
+ kl
2
g
~ and ~Ii = cll , ~22 = C22 3 o o o 0 If CI2(x) , C 21 (x) = 0(x -N) , then T(x) = I + 0(x -N). P R O O F . F i r s t we substitute y = Q(x)y, w h e r e
ox/to fix t Then
(6.3) is t r a n s f o r m e d into
(6.5)
x l - P d w = D(x)w, dx
w h e r e Dl2(x) ~ 0 iff (6.6)
x l - p ~xx d Q 12 = c ii (x) QI2 _ Q12C22 (x) _ Q12c21 (x)Q 12 + cl2(x).
N o w C II 12 12 22 o Q -Q Co d e f i n e s a linear t r a n s f o r m a t i o n in the linear space of 12 r x (n-r)-matrices Q w i t h e i g e n v a l u e s hg- hh, g = I, .... r; h = r + I, ..., n. Hence we may use a p p l i c a t i o n IV w i t h n I = 0 and a solution of A.(~') ]
for some ~i > Z" In a similar way we m a y t r a n s f o r m
(6.6)
(6.6) to
exists in (6.4). []
A special case of t h e o r e m 8 w i t h j = 2 has b e e n g i v e n b y Turrittin[22]. T h e o r e m 8 w i t h j = i c o r r e s p o n d s to t h e o r e m 12.2 in W a s o w
[24] w i t h a d i f f e r e n t
sector. R e s u l t s of this type m a y be u s e d to reduce linear d i f f e r e n t i a l and d i f f e r e n c e e q u a t i o n s to canonical forms, cf. M a l m q u i s t
[16], T u r r i t t i n
[18] ,[20].
REFERENCES [i]
BRAAKSMA,
B.L.J., Laplace integrals, factorial series and singular diffe-
rential equations, Proc. B i c e n t e n n i a l c o n g r e s s of the W i s k u n d i g Genootschap, A m s t e r d a m 1978. [2]
BRAAKSMA, B.L.J.
& W.A. Harris, Jr., Laplace integrals a n d f a c t o r i a l
series
in singular differential systems. To appear in A p p l i c a b l e Mathematics. [3]
DOETSCH, G., Hendbuch der Laplace Transfor~ationj Basel, 1955.
Band II. B i r k h ~ u s e r Verlag,
52
[4]
ERDELYI, A.,
The integral equations of asymptotic theory, in
Asymptotic
Solutions of Differential Equations and their Applications, edited by C.H. Wilcox, John Wiley, New York, [5]
HARRIS, Jr., W.A. & Y. SIBUYA, Amer. Math. Soc., 70
[6]
1964, 211-229.
Note on linear difference equations, Bull.
(1964)
123-127.
Asymptotic solutions of systems of nonlinear
HARRIS, Jr. W.A. & Y. SIBUYA,
difference equations, Arch. Rat. Mech. Anal., 15 (1964) 377-395. [7]
HARRIS, Jr., W.A. & Y. SIBUYA,
On asymptotic solutions of systems of non-
linear difference equations, J.reine angew. Math., 222 [8]
HORN, J.,
(1966)
120-135.
Integration linearer Differentialgleichungen durch Laplacesche
Integrale und Fakultdtenreihen. Jahresber. Deutsch. Math.Ver., 24 (1915) 309-329; 25 [9]
HORN, J.,
(1917) 74-83.
Laplacesche Integrale als L~sungen yon Funktionalgleichungen,
J. reine angew. Math., [i0]
HORN, J.,
146 (1916) 95-115.
Verallgemeinerte Laplacesche Integrale als L~sungen linearer
und nichtlinearer Differentialgleichungen. Jahresber. Deutsch. Math. Vet., 25 (1917) 301-325. [11]
HORN, J.,
Uber eine nichtlinea~e Differenzengleichung, Jahresber. Deutsch.
Math. Ver., 26 (1918) 230t251. [12]
HORN, J.,
Laplacesche Integrale, Binomialkoeffizientenreihen und Gamma-
quotientenreihen in der Theorie der linearen Differentialgleichungen. Math. Zeitschr., 21 [13]
HUKUHARA, M.,
(1924) 85-95.
Integration formelle d'un syst~me des ~quations di~rentiel -
les non lin~aires dans le voisinage d'un point singulier. Ann. Mat. Pura Appl., [14]
IWANO, M.,
(4) 19 (1940) 35-44.
Analytic expressions for bounded solutions of non-linear
ordinary differential equations with an irregular type singular point. Ann. Mat. Pura Appl., (4) 82 (1969) 189-256. [15]
IWANO, M.,
Analytic integration of a system on nonlinear ordinary
differential equations with an irregular type singularity. Ann. Mat. Pura Appl., [16]
MALMQUIST,
(4) 94 (1972)
109-160.
J., Sur l'~tude analytique des solutions d'un syst~me d'¢quations
diff~rentielles dans le voisinage d'un point sin~lier d'ind~termination, II. Acta Math., 74 (1941) 1-64. [17]
TRJITZINSKY, W.J.,
Laplace integrals and factorial series in the theory
of linear differential and difference equations, Trans. Amer. Math. Soc., 37 (1934) 80-146.
53
[18]
TURRITTIN,
H.L.,
Convergent solutions of ordinary lineal~ homogeneous
differential equations in the neighbourhood of an irregular singular point. Acta Math., 93 (1955) 27-66. [19]
H.L., The formal theory of systems of irregular homogeneous linear difference and differential equations, Bol. Soc.Math. Mexicana
TURRITTIN,
(1960)
255-264.
H.L., A canonical form for a system of linear difference equations, Ann. Mat. Pura Appl., 58 (1962) 335-357.
[20]
TURRITTIN,
[21]
TURRITTIN,
H.L.,
Reducing the rank of ordinary differential equations.
Duke Math. J., 30 (1963) 271-274. [22]
TURRITTIN,
H.L.,
Solvable related equations pertaining to turning point
problems, in Asymptotic Solutions of Differential Equations and their Applications. Edited by C.H. wilcox, John Wiley, New York, 1964, 27-52. [23]
WALTER, W.,
Differential- and Integral Inequalities. Springer Verlag,
Berlin, [24]
WASOW, W.,
1970.
Asymptotic expansions for ordinary differential equations.
Interscience
Publishers,
New York,
1965.
CONTINUATION AND REFLECTION OF SOLUTIONS TO PARABOLIC PARTIAL DIFFERENTIAL E~UATIONS
David Colton * Dedicated to the memory of my teacher and friend Professor Arthur Erd~lyi
I. Introduction. As is well known, a solution of an ordinary differential equation can be continued as a solution of the given differential equation as long as its graph stays in the domain in which the equation is regular. On the other hand the situation for solutions of partial differential equations is quite different since a solution of a partial differential equation can have a natural boundary interior to the domain of regularity of the equation (c.f.~7]). exceptional circumstances
In fact it is only in very
that one can prove that every sufficiently
regular solution of a partial differential equation in a given domain can be extended to a solution defined in a larger domain.
In the
general case continuibility into a larger domain depends on the solution of the partial differential equation satisfying certain appropriate boundary data on the boundary of its original domain of definition, the classical example of this being the Schwarz reflection principle for harmonic functions.
In the past twenty-five years there has been
a considerable amount of research undertaken to determine criteria for continuing solutions of partial differential equations into larger domains and in these investigations two major directions stand out:
* This research was supported in part by NSF Grant MCS 77-02056 and AFOSR Grant 76-2879.
55
i) reflection principles,
and 2) location of singularities
of locally defined integral representations.
by means
Until quite recently
both of these approaches have been confined to the case of elliptic equations. The generalization harmonic
functions
pendent variables
of the Schwarz reflection principle
to the case of elliptic equations
for
in two inde-
satisfying a first order boundary condition along
a plane boundary was established by Lewy in his seminal address to the American Mathematical Lewy considered
Society in 1954 ([20]).
In this address
the elliptic equation
Uxx + u yy + a(x,y)u x + b(x,y)Uy + c(x,y)u = 0
(I.i)
defined in a domain D adjacent on the side y < 0 to a segment o of the x axis.
On o, u(x,y) was assumed to satisfy the first order
boundary condition ~(X)Ux(X,O ) + ~(X)Uy(X,O)
+ y(x)u(x,O)
Then under the assumption that u(x,y)
= f(x) •
e C2(D) A ~ ( D
(1.2)
L/ o), ~(z),
~(z), y(z) and f(z) are analytic in D u o ~ D* (where D* denotes the mirror image of D reflected across o), ~(z) # 0 and ~(z) # 0 throughout D ~ o ~ D * ,
and the coefficients
of (i.i) expressed in terms of
the variables z = x + iy
( i . 3) z* = x - iy are analytic functions of the two independent and z* for z e D V
o~
complex variables
z
D*, z* E D v o ~ D*, Lewy showed that u(x,y)
could be continued into the domain D ~ o ~ D* as a solution of (i.I). In particular Lewy showed that the domain of dependence associated
with a point in y > 0 is a one dimensional y < 0.
line segment lying in
Lewy also gave an example to show that an analogous result
was not valid in higher dimensions, even for the case of Laplace's equation in three variables satisfying a linear first order boundary condition with constant coefficients along a plane.
This
problem of the reflection of solutions to higher dimensional elliptic equations across analytic boundaries was taken up by Garabedian in 1960 ( ~ 2 ~ )
who showed that the breakdown of the
reflection property is due to the fact that the domain of dependence associated with a solution of an n dimensional elliptic equation at a point on one side of an analytic surface is a whole n dimensional ball on the other side.
Only in exceptional circumstances
does some kind of degeneracy occur which causes the domain of dependence to collapse onto a lower dimensional subset, thus allowing a continuation into a larger region than that afforded in general.
Such is the situation for example in the case of the
Schwarz reflection principle for harmonic functions across a plane or a sphere (where the domain of dependence degenerates to a point) and the reflection principle for solutions of the Helmholtz equation across a sphere (where the domain of dependence degenerates to a one dimensional
line segment - c.f.
[41).
Such a degeneration can
be viewed as a form of H u y g e n ' s p r i n c i p l e
for reflectio ~ analogous
to the classical Huygen's principle for hyperbolic equations, and in recent years there have been a number of intriguing examples of when such a degeneracy can occur (c.f. [9], [21]). The second major approach to the analytic continuation of solutions to elliptic partial differential equations is
through
57
the method of locally defined integral representations.
This approach
is based on the use of integral operators for partial differential equations relating solutions of elliptic equations to analytic functions of one or several complex variables and has been extensively developed by Bergman ([i]), Vekua ([242) , and Gilbert ([12). The main idea is to develop a local representation of the solution to the elliptic equation in the form of an integral operator with an analytic function with known singularities as its kernel and with the domain of the operator being the space of analytic functions. The problem of the (global) continuation of the solution to the elliptic equation can then be thrown back onto the well investigated problem of the continuation of analytic functions of one or several complex variables.
A simple example typical of this approach, and
one which exerted a major influence on much of the subsequent investi/
gations, was that obtained by Erdelyi in 1956 on solutions of the generalized axially symmetric potential equation u
+u xx
yy
where k is a real parameter ([8~).
+k -y
u
y
=
0
(1.4)
Erd~lyi's result was to show that
if u(x,y) is a regular solution of (1.4) in a region containing the singular line y = 0 and u(x,O) is a real valued analytic function in a y-convex domain D (i.e. if (x,y) e D then so is (x,ty) for -lO
u(s(t),t) = O; Ux(S(t),t) u(O,t) :
t>O
= - s(t); @(t);
(2.z)
t>O t>O
where it is assumed that ¢(t)~O, s(O) = O.
The function u(x,t)
is the temperature in the water component of a one-dimensional ice-water system, s(t) is the interface between the ice and water, and ¢(t) is assumed to be given.
The inverse Stefan problem assumes
that s(t) is known and asks for the solution u(x,t) and in particular the function ¢(t) = u(O,t), i.e., how must one heat the water in order to melt the ice along a prescribed curve?
If we
assume that s(t) is analytic the inverse Stefan problem associated with (h.i) can easily be solved using the results of Section II. Indeed if in (2.1h) we place the cycle It-~l = 6 on the two dimensional manifold x = s(t) in the space of two complex variables, and note that since u(s(t),t) = 0 the first integral in (2.1h)
75 vanishes, we are lead to the following solution of the inverse Stefan problem: u(x,t) = 12wilt-~l=6 E(x-s(T),t-x)s(T)dT
(4,2)
Computing the residue in (4.2) gives u(x,t) =
~ I Sn n=l ~ - - S t n [x-s(t)] 2n ,
(4.3)
a result which seems to have first been given by Hill ([15]).
The
idea of the inverse approach to the Stefan problem (4.1) is to now substitute various values of s(t) into (4.3) and compute ¢(t)=u(O,t) for each such s(t).
For example setting s(t) = /t gives n! ¢(t): Z ~ K , n=l
= constant ,
(4.4)
a result corresponding to Stefan's original solution. We now consider the Stefan problem in two space variables.
The
equations corresponding to (4.i) are now Uxx + u yy = ut; uI so x
¢(x,y,t) 0
exists, the syste~ {e ~nz} is complete in the space of analytic functions defined in anY region G for which every straight line parallel to the imaginary axis cuts out a segment of length less
78 than 2wd, and the system is not complete in any region which contains a segment of length 2~d parallel to the imaginary axis. From Theorem 4.1 we now see that the set (4.9) is complete for solutions of the heat equation defined in a domain D of the form described above provided lim n~
n --~2
> 0 .
(4.10)
n
Theorem 4.2:
Let D = {(x,t):sl(t)<x<s2(t),
s2(t) are continuous
functions.
O 0, o
iXp]f,[2
zk O
ix. P
and pl/2f, 4 L2(o,I); this is a contradiction and so k = O; hence, as above, f ~ D(T). Taking all these results together it follows that the domain D(T) can be described in any one of the follow%ng five equivalent forms f ~ D(T) if f £ A and either (~) lim 1 [f~] = lim -I [fx] = 0 or
(8)
lim +-I f exist and are finite
or
(y)
lim _+ pf' = 0
or
(8) pl/2f, e L2(-I,I)
or
(Z)
lim [fl] = lim [fl] = 0 ; -I
where in (Z) the notation 1 is used to represent the function taking the value 1 on (-1,I). We can prove a little more; if f c D(T) then from (3.14) above we see that {plf'
+ ¼Ill 2} =
-I
M[f]'f
(f c D(T))
-1
so that M satisfies the so-called Dirichlet formula on D(T) hut not, as may be readily shown, on the maximal linear manifold A.
From the Dirichlet
formula we see that the self-adjoint operator T satisfies (rf,f) > ¼(f,f)
(f E D(T))
with equality if and only if f is constant over (-I,I).
(3.15) This is a special
98
case of a general inequality for self-adjoint
operators which are
bounded below; in fact the first eigenvalue %o of T is ¼. We comment on the spectrum of the self-adjoint
operator T;
this consists of the set Po(T) = {%n = (n + ½)2; n E No}, see (3.6), each point of which is a simple eigenvalue with eigenfunetions Legendre polynomials and, in particular,
the
{Pn(') : n • No}; clearly Pn(') • D(T) (n • No) satisfies the boundary conditions
(iv)(a) and (b).
For any real ~ g Po(T) it is clear from the properties
of the
solutions ~(-,~) and X(',~), given earlier in this section, that no solution of Legendre's differential equation
(1.6), with % = ~, can be
found which satisfies the boundary conditions at both singular end-points +-l. Indeed at all points D e R\P•(T) it may be shown that (T - ~ I)D(T) = L2(-],l),
on using the result
(3. ;2); this shows that
is in the resolvent set of T; see if, section 43]. The general spectral theory of self-adjoint see [ 1, chapter VII now yields the completeness polynomials
in L2(-l,l),
as the set of eigenvectors
of a self-adjoint
operator T in L2(-I,I) with a simple, discrete spectrum. eigenvectors
operators,
of the set of Legendre
The normalized
of T, say {~n : n • N o } given by ~n = (n + ½)I/2pn(n ¢ No),
then give an orthonomal basis in L2(-l,l). One additional comment;
if we define the
co
operator S : Co(-l,;) ÷ L2(-l,l) by Sf = M[f]
(f • Co(-l,|))
then S is symmetric in L2(-l,l)
and satisfies the inequality
co
(Sf,f)
-> ~(f.f)
(f E Co(-l,l)),
see (3.15).
The general theory of semi-
bounded sy~netric operators then applies, see [I, section 85], and the operator T then appears as the uniquely determined Friedrichs extension of S; this relates to the form (6) of the equivalent boundary conditions, i.e. a finite Dirichlet condition. 4.
The left-definite
case.
We again consider the Legendre differential
equation in the form (1.6) M[y](x) = -((I - x2)y'(x)) ' + ~y(x) = %y(x)
(x c (-l,l)).
(1.6)
As in section I above we define H2(-I,|) = H 2 as the Hilbert function space H2(-l,l) = {f : (-l,|) -> C : f • ACloc(-l,l),
f • L2(-|,|)
and pl/2f, • L2(-I,I)}
99
with inner-product =
(f'g)H
-I
and norm llfllH;
{pf'g' + ¼fg}
(4.1)
here p(x) = 1 - x 2 (x c (-l,l)).
We noted in section 2 above that the differential expression M is limit-point in H2(-I,I)
at both the singular end-points ±I.
To obtain a self-adjoint
operator S, say, in H2(-I,I),
as generated by M and playing the same r~le as the operator T in section 3, we follow the method used in Everitt [3], using also, in part, the work of Atkinson,
Everitt and Ong in [ IO], There is a theory of the m-coefficient
for left-definite
problems which reflects some, but not all, of the properties
of the
Titchmarsh-Weyl m-coefficient
We again use
in the right-definite
theory.
the solutions O and ~ of (1.6) introduced in (2.13). Since the differential expression M is limit-point in H2(O,I) at the end-point H2(O,I) for any ~ e C\R.
I, neither solution @(',~) or ~(.,l) is in However there exists a unique coefficient m(')
(we use the tilda notation to distinguish the left-definite analytic (regular, holomorphic) = @ + m ~ ~ H2(o,I). independent
in C\R and such that the solution
Now for )~ c C\R there is only one linearly
solution of the equation
the asymptotic results
(1.6) which lies in H2(o,I);
from
(2.10 and 11), for the solutions Y(',%) and Z(',%),
it is clear that this solution in H2(O,]) must be Y(',%). ~(.,~.) = 0(-,%)
case) which is
+ m(%)~(.,%)
with k(-) to be determined.
= k(~)Y(-,%)
on [o,])
If we differentiate
both sides at O we find that 1 = k(l)Y(o,%) m(l)
Thus
this result and evaluate
and ~(%) = k(l)Y'(o,l),
i.e.
= Y'(o,I)/Y(o,I).
Similarly at the end-point -I the solution in H2(-I,o)
(4.2)
is
Z(.,%) and, writing ~ = @ + n q~,
~(~)
=
z'(o,~)/z(o,~)
=
- ~(~).
(4.3)
Note that m = m of (3.3), and similarly n = n, of the right-definite
case but note that m is unique whilst we had to select m in
section 3 as a consequence of the limit-circle classification.
100
These results give ~(.,%) = Y(.,%)/Y(o,%)
(= ~(.,%) of section 3)
X(',%) = Z(.,%)/Z(o,%)
(= X(.,%) of section 3).
(4.4)
As in section 3 m(.) and n(.) are meromorphic on C with simple poles only at the points {(n + ~)2 : n e N }. In particular these o functions are regular at O and we use this fact to construct the resolvent function $ as in section 3 above; in fact we can identify $ with ~ of (3.11a)
~(x,~;f) = ~(x,~;f)
(4.5)
but now defined for x ¢ (-|,l), % ~ C\{(n + i2) 2 :n e N o } and all f ~ H2(-l,l).
It is convenient to define ~ : (-;,I) × H2(-l,|) -> C by ~(x;f) = $(x,o;f);
(4.6)
it follows that, see (3.11b), M[~(x;f)] = f(x)
(x c (-1,1)),
(4.7)
Now define a linear operator A on H2(-l,l) by (Af)(x) = ~(x;f) for all f ¢ H2(-l,l).
(x £ (-I,1))
(4.8)
We shall show A is a bounded, symmetric operator
on H2(-l,l) into H2(-I,l);
also that A has an inverse A -I.
For this purpose we require Len~na
(i) (ii)
Proof
(i)
~(.;f) ~ C[-],|] lira +l p ~, (';f)g = O
(f £ H 2) (f,g E H 2)
This follows from the definition
(4.5) and (4.6) of ~ and the
asymptotic properties of the solutions Y and Z of Legendre's equation. (ii) We note that if g E H 2 then Ig(x) l = Ig(°) + i.e.
I-< Ig(°)l + [Jo
g(x) = O({In((l - x)-l)} I/2)
Hence, from (4.6),
op]g,12 i/2 (x -~ I).
(4.5) and the asymptotic properties of solution of the
differential equation,
Ii[~[2}i/2 )
p(x) ~'(x; f)g(x) = O(p(x) Ig(x)|) + O(Ig(x) l{
= O~I - x){In((l - x)-l)} I/2)
÷
= o (l)
-
(x~
l).
101
Similarly at -1.
This completes the proof of the lemma.
We now show t h a t t h e o p e r a t o r A i s bounded on H2; i n f a c t
IIAflIH = ll~(';f)][H - Ic, l~
]grad
I,.:~ h
[lC,]
grad
oa~r~(a))[- M t 6
~(co)
(~
g "~i (co)
h.:~
V1 ~(2a)
I-
11 =~,(~)]. h:l
The re f ore
grad Since lemma
If we
I.tr4(co)l z Ic,I
P~ ~ 0
III
of Q
]
and
~(a))>O
in
S ~, the
q
.
last
estimate
contradicts
[if. = ~w
is
a point
of
the
plane
0 cohogh~ ~
, then
for
~e~H~
have ~ (~)...
where the
L
is
a positive
estimate
R o)
PROOF.
II. that
From
the
and
that
than
the
smallest
can
Since
be
A necessary
is
..,~)
which
constant.
"- L
-.. V9 (~) Ic~(G)I
-~ I[ grad"]QIwe
obtain
(3).
THEOREM ( 0 < P, 4
~h.,(~)~t,~(~)
~
is
easily
and
HR ° should convexity
contained
eigenvalue computed
be of
in of and
sufficient
condition
a~
C*(HR}
convex. HRo
we
deduce
a hemisphere. the
for
problem
equals
2.
Hence (i) From
that
~h < ~ 11
is
for
the
the
inequality
(h={.
greater
hemisphere
, ~i > 2
113 we
deduce
~ > ~
is
continuous The
be
. Hence in
from
FI R
necessity
and
the
proof
vanishes
on
follows
from
shall
assume
of
Theorem
Hg
the
~
fact
I we
i h
that
see
that
( h ~ ~ , ""' ' @
the
grad
)
estimate
(2)
cannot
improved. From
have
Mh
now
on
> ~
(
THEOREM
we
HRo
is
III.
not
Let
that for
p
be
the
smallest
positive.
such that
value
the
numbers
of
h
we
2 IX~ J
Then I g r a d u l
,
•
.
j
e LP(H~)
( 0 ~ 1~ ~ Ro ) f o r
any
p
4 a p ~ ~.
PROOF. integral
one
of
2 1"1 )
are
least
convex).
3
that
at
is
We h a v e f r o m
(2)
that
the
following
finite:
FIR On
} g r a d ~ l c: L P(Ft R) i f
the
other
hand
following
integrals
are
where
second
h~ this
integral
is
finite
if
and
only
if
the
finite:
o
~h
the > ~T
. From
THEOREM
that ( 0
are < R
integral this
positive.
Then
the
Ro )
any
of
H R
with
ing
integrals
for Denote
the
(16) any h > ~
h
such
by
considered
proof
the
such
smallest
that
the
.We
any
of
the
h
such
that
numbers
density
~(Q)
~ 4
p .
planar
O~0hC0h,
for
follows.
electric
~h
plane
are
be
p
be
the
p
PROOF.
for
remark Let
~
IV.
must
p ~
sector
have
belongs
which
~(Q)E
is
LP(~
the
to
LP(g4H~)
intersection
H R) if
the
follow-
finite:
fZh~ (a'~) P l't::h(r~)Z'h~
( c u ) J P d Y'~
that
of
at
least
' ~h#~ > ~ " Assume in the plane
one
0 ~0 h ~oh+ ~
the
following
a polar
inequalities
coordinate
system
holds:
with
)
pole
0
and
polar
only
if
for
all
axis the
h
0 co h such
. The that
~h
integrals > ~
and
(16) for
0
are
finite
if
and
~
~ 4 2'E
we
ha~e
114
0
0
From
this
Theorem in
[3]
the IV
, which The
behaviour i, , ..
improves
states
a
result~obtainable
that
~ e Lz(94
developed
in
of
electric
field
the
, iq
to
o
O, u E ~, x E ~2, Li is a linear operator;
i th
f(x,u) and g(x) are given functions
with respect to u, Using monotone
iteration
order differential
and f is increasing
[I], [8] we prove the
existence of solutions of (1.1) and a convergence
result to the
solution of reduced problem L1u = f(x,u)
in ~
(i .2) u
with F G 3~. Convergence
is
= g(x)
on
F
of order E except
neighbourhood of 3~ \ F, where exponential and in an arbitrary
in an arbitrary
boundary
small
layer can appear,
small neighbourhood of a set D where the solution
of the reduced problem
(1.2) is not C 2. We do not suppose the set
to be convex, which allows free boundary layers. Also, free boundary layers appear along the parts of the boundary of ~ which contain characteristics
of the reduced problem
we give no informations
a neighbourhood of these free boundary in the spirit of A. van Harten (I.I)
is supposed
(1.2). However,
in such cases,
on the behaviour of the solutions of (I.I) in layers.
Our work is very much
[II] chapter 6. In [II] a solution of
to exist as well as a better approximation
than a
solution of (1.2). This allows the use of the maximum principle together with a constant as a barrier function.
In our work, we
116
directly prove existence As a by-product
and the limiting behaviour
this also gives an explicit
Further our method
is not restricted
using monotone
iteration.
scheme to cumpute the solution.
to second order problem as it is the
case for the maximum principle used in []l]. Notice at last that the main tool of this section
(theorem 3.4) is a slight generalization
theorem on elliptic BVP (see H. Amann
In a second part, we allow nonlinearities More precisely,
we consider
with gradient dependance.
the BVP
EL2u = f(t,U,Ux,EUy) u = g Using a theorem of M. Nagumo
in on ~
[9] based on differential
extend the existence and convergence BVP could be investigated
of a known
['l] where other BVP are considered).
we
results of the first part. More general
using H. Amann
approach is that it is restricked
inequalities
[2]. The main drawback of this
to second order equation.
In the last part of the paper, we investigate
the fourth order BVP
E2u Iv - p(t)u" = f(t,u) u(o) = u(]) = n"(o) = u"(|) = 0 which can be interpreted to high order equations
as describing
a beam with pin-ends.
This extends
the type of results introduced by N.I. Bri§
[3] and
worked out in [6] [7]. Similar ideas appear in F.W. Dorr, S.V. Parter and L.F. Shampine
[4].
2. A fixed point theorem for increasing maps 2.1. Let ~ be a bounded domain in ~ n and
C(~)"the Banach space of continuous
functions u : ~ ~ ~ together with the norm Iluil = sup lu(x) l. The space C(~), IE.[i together with the order u] ~ u 2
iff Vx • ~
is an ordered Banach space
ul(x) ~ u2(x)
[]]
If ~ e C(~), B • C(~), ~ ~ B, let us define
[~,8] = {x ~ C(~)
An operator T : [~ B] ~ C(~) is said increasing
T(u l ) ~ T(u 2)
~
O implies u" < O and next u ~> 0, i.e. the operator K E is
increasing. Hence solutions of the BVP (5.1) are the fixed points of the increasing operator Tg = K~F. Once again, Arzela-Ascoli's theorem imply T E is completely continuous and as in 5.3, we can prove the following proposition.
5.5. PROPOSITION
Suppose there exist functions s E C4([O,I]) and
E C4([O,I]) such that g2siv - p(t)S" < f(t,s) , E2B iv - p(t)B" ~> f(t.$) , O < t < 1 , W'(o)
i> o
, W'(1)
i> o
, B"(o)
~< o
, S"(1)
~< o
,
s
0
,
>
.
(0)
0
(1)
B (0)
Then there exists at least one solution
IB ( 1 )
0
u~ of the BVP (5.1) such that
S(t) ~< ug(t) ~< ~(t)
which can be computed iteratively as in Proposition 2.2. Proof.
One has to apply the maximum principle twice in order to prove Ts /> s
and
TB ~< B
and the proposition follows then from 2.2.
•
Suppose there e~r~st functions s ° E C4([O,i]) and Bo E C4([O,I])
5.6. THEOREM
such that Iv -
p(t)S o < f(t,S O) , - p(t)~ o > f(t,B o) , t e [O,1] ,
So(O)
/
o.
Then, for ~ small enough there exists at least one solution u~ of the BVP (5.1) such that a o ~< u
+ O(E 2) ~< flo "
129
Proof.
Consider the function =
ut ~o + c2 ( A e - ~ +
~(l-t) Be"
E
-
C)
where A,B and C are positive constants chosen such that ~"(O) = ~o(O) + ~2A + ~2Be -'~/~ > O , ~"(I) = ~o(I) + ~2Ae-~/c + ~ 2 B
>~ 0 ,
(O) = ~o(O) + E2(A + Be -~/~ - C) ~< 0 , (I) = ~o(I) + g2(Ae-~/E + B - C) ~< O. One computes next g2 iv _ p(t)~"
-
f(t,~) = E 2~Oiv + D 4 A e - ~
+ ~4Be ~(]~t)
,, Dt p 2Be_D(~-t ) - p(t)~ O - p~2Ae-~- _ - f(t,~o) - S2fu(t,~ O + ~(~ - ~O))[Ae
~(1-t) -C] ~ + B e - c-
with ~ E ]0,I[. Hence, for some K > 0 and c small enough E2~ iv - p(t)~" - f(t,~) ~ - p(t)~ O - f(t,~ o) + KE 2 < O. ~he theorem follows from Proposition 5.5 and a similar choice for the function B ~t _~(l-t) B = ~O - g2(Ae-~- + Be g - C).
a
References [I] H. Amann, Fixed point equations and nonlinear eigenvalue problems in ordered Banach spaces, SIAM Review 18 (1976), 620-709. [2] H. Amann, Existence and multiplicity
theorems for semi-linear elliptic
boundary value problems, Math. Z. 150 (1976), 281-295. [3] N.I. Bri§, On boundary value problems for the equation cy" = f(x,y,y') for small e, Dokl. Akad. Nauk SSSR 95 (1954), 429-432. [4] F.W. Dorr, S.V. Parter, L.F. Shampine, Applications principle to singular perturbation problems,
of the maximum
SlAM Review 15 (1973),
43-88. [5] W. Eckhaus, E.M. de Jager, Asymptotic solutions of singular perturbation problems for linear differential Mech. Anal. 23 (1966), 26-86.
equations of elliptic type, Arch. Rat.
130 [6] P. Habets, M. Laloy, Perturbations singuli&res de problgmes aux limites : les sur- et sous-solutions, S~minaire de Math~matique Appliqu~e et Mgcanique 76 (1974). [7] F.A. Howes, Singular perturbations and differential inequalities, Memoirs A.M.S. 168 (1976). [8] M.A. Krasnosel'ski, Positive solutions of operator equations, Noordhoff, Groningen 1964. [9] M. Nagumo, On principally linear elliptic differential equations of the second order, Osaka Math. J. 6 (;954), 207-229. [10] M.H. Protter, H.F. Weinberger, Maximum principles in differential equations, Prentice Hall, Englewood Cliffs, N.J° 1967. []I] A. van Harten, Singularly perturbed non-linear 2nd order elliptic boundary value problems, PhD Thesis, Utrecht 1975~ []2] A. van Harten, On an elliptic singular perturbation problem, Ordinary and Partial Differential Equations, Ed. W.N. Everitt and B.D. Sleeman, Lecture Notes in Mathematics 564, pp~485-495, Springer Verlag, Berlin Heidelberg New-York 1976.
SINGULAR PERTURBATIONS OF SEMILINEAR SECOND ORDER SYSTEMS
by F. A. Howes* School of Mathematics University of Minnesota Minneapolis, ~innesota 55455
and R. E. O'Malley, Jr.* Department of Mathematics and Program in Applied Mathematics University of Arizona Tucson, Arizona 85721
I.
Problems with boundary layers at one endpoint Many physical problems can be studied as singularly perturbed two-point vector
boundary value problems of the form
I sy" + f(y,t,e)y' + g(y,t,g) = 0,
OJt_
0
will become so small that (3) (for
f(U0(0) + H0(T), 0, 0)
will decrease monotonic-
H0(T) = 0 t = 0)
of (15) at
T = ~.
implies that the
will thereafter have real parts greater
and (15) then implies that
H0 (T) = 0(e- 0
boundary
layer decay
will be required
= {(z,t,e):
i =
to zero within
number and,
0 < t < i,
for any
llz(0) - U0(0)II + 6, 6,
0 < t < i.
Our smooth-
in a domain
0 _< llz - U0(t)ll i d a ( t ) ,
is a small positive
d6(t)
+ w(u,~)
~ < t < 1 - 8
8 > 0,
0 < t
are not
collinear,
(38)
Jz]i" _> hT(z,t,E)z/llzll,
0 < t < i.
(Through the inequality (37), then, we eliminate the first derivative term from (38).
We note that (38) is an equality for scalar problems.) We'll now ask that for all
(z,t,s)
in
~
there exists a smooth scalar gl,~'
function
~(n,t,g)
such that
(39)
where
hT(z,t,s)z _> ~(llzll,t,e)]Izn
140
(40)
¢(O,t,c) ~ O,
¢(O,t,O) = O,
~
(O,t,O) > 0
and f
(41)
~(s,0,0)ds > 0
whenever
0 < ~ ~ Ilz(0,0)ll
if
z(0,0) # 0
~ ~(s,l,0)ds > 0 0
whenever
0 < ~ ~ Itz(l,O)li
if
z(l,O) ¢ O.
and
I
Existence of such a function cifically,
~ n (0,t,O) > 0
$
will constitute our stability hypotheses.
implies the stability of the trivial solution of the
reduced system within
(0,I)
endpoints.
(39)-(40) imply that
Hypotheses
(42)
where
Spe-
while (41) implies boundary layer stability at both
0 < ilz(t,~)il 0,
just as Erd~lyi
more nonlinear
3.
(1978) considered
problems where
(1968) considered
SF _ ~x scalar problems somewhat
than semilinear.
Examples a.
A problem with an initial boundary Let us consider
layer
the vector equation
gy" + f(y,t,c)y'
+ g(y,t,~)
= 0,
0 < t < 1
where
y =
lyll f (yll Y2
1
In order to have a limiting
solution
YI+ ,
and
Y2 + I
Y2 uR
i ).
g = -
of the two-point problem which satisfies
the reduced problem
f(uR,t,0)u ~ + g(uR,t,0)
we must require
uR
to be stable in
= 0,
0 < t < ],
-f(uR(t),t,0)
must be a stable matrix,
UR(1) = y(1)
i.e.,
< 0
and we must also require boundary layer stability at
144
t = 0,
i.e., we ask that
f~
T
f(uR(0) + z, 0, 0)dz > 0
0 for all
$
such that
More specifically,
0 < lJCJl ! fly(0) - UR(0)ll. the reduced problem has the solution
UR(t) = ( D t t+ C
where
C = URl(0) = -i + Yl(1)
and
D = UR2(0) = -i + Y2(1).
Stability of
uR
requires the matrix -t
-
-i
C
-I to be stable throughout
-t - D
0 < t < i.
This is, however, equivalent to asking that
C + D > 0
and
CD > i,
i.e.,
Yl(1)Y2(1) > Yl(1) + Y2(1)
2.
Further, boundary layer stability requires that
s( wl+c w21l(dwll 0,
0
1
+ D
dw 2
i.e.,
~I3 + 2C~
for all
~ =
¢2
(Y2(0) - D)2. (C,D)
satisfying
+ 4~i~ 2 + ~
0 < ll~ll = lJy(0) - UR(0)ll =
Our initial values
y(0)
Setting
~2 = t~l'
(Yl(0) - C) 2 +
are thereby restricted to a circle about
with radius less than the least norm
cubic polynomial.
2 + 2D~ 2 > 0
such a
II~II of the nontrivial zeros of the ~
will satisfy
(i + t3)~l = -2(C + 2t + Dt 2)
and we minimize d(t) = ]l~ll = ~i-i+ t 2 I¢II.
145
(We note that the minimum for
~i = O,
then, determines an upper bound for For for
d(t)
C = D = 2,
i.e.,
corresponding
t = =,
2D.)
This calculus problem,
lly(0) - UR(O)~.
y(1) = (~),
to
is
we'd obtain the minimum value
tmi n = -0.291.
Thus, we're guaranteed that the
limiting solution of our two-point problem is provided by in the circle of radius
3.390
about
(~).
UR(t)
that boundary layer stability need only hold for y(O)
and
uR(0).
if
y(0)
lies
This is presumably a conservative
estimate for the "domain of attraction" of the reduced solution
tory joining
3.390
~ + UR(0)
uR(t).
We expect
on the actual trajec-
Finally, we observe that this example is quite
analogous to the simplest cases occurring in the analysis of solutions of the scalar problem
b.
ey" + yy' - y = 0
(cf. Cole (1968), Howes (1978), and elsewhere).
A problem with twin boundary layers at the endpoints Consider the vector problem
gz" = h(z,t,~),
0 < t < i
where 3 Zl and
z =
h = -z I + z 2 - z 2
z2 Here
U0 = 0
is a stable solution of the reduced problem
h(U0,t,0) = 0
since
the Jacobian matrix
hz(0,t,0) = ( -II
has the unstable eigenvalues mination of a scalar function
i i i. ~
ii )
Boundary layer stability involves the deter-
such that
hT(z,t,e)z _>
~(lJzll,t,s)IEz]l.
Here 2 2 4 4 hT(z,t,e)z = (zI + z 2) - (z I + z 2) _> IIzJl2(l - 11z~2).
Since
4 2 2 2 4 z I + z 2 < (z I + z2) ,
so we can take ~(n,t,~) = n(l - n2).
Clearly,
#(0, t,e) ! 0,
¢(0,t,O) = 0,
~n(0,t,0)
> 0
and
146
t 0°
1
~(s,i,0)ds
= ~ n2(l - n2/2)
Our preceding
results,
the two-point
problem which converges
(0,i)
provided
then,
> 0
guarantee
the boundary
values
0 < n < /2,
the existence
i = 0
of an asymptotic
to the limiting
solution
or
i.
solution
U0 = 0
within
satisfy
llz(0,0)l[ < ~
Indeed,
for
and
llz(l,0)il < ~ .
we then have
0 i l~z(t,a)lJ ~ m(t,¢)
where
m
satisfies
the scalar problem
gin" = %(m,t,¢),
The asymptotic
0 < t < i,
behavior
of
m
m(i,¢)
follows
= llz(i,¢)ll < /2,
from the scalar
results
i = 0
of Howes
and others.
c.
A problem with
internal
We now consider
transition
the very special
¢y" + f(y,t,c)y'
layers
problem
+ g(y,t,s)
= 0,
0 < t < i
where f2 (yl,Y2, t, ~) y =
,
f(y,t, ~) =
Y2
Y2
0 gl (yl,Y2) and
g = -Y2
This system decouples
into the two nonlinear
scalar
-
eY2 + Y2Y2 - Y2
equations
=
0
and
ey~ + fl(Yl,t,c)yl
+ [f2(Yl,Y2,t,E)y~
and
+ gl(yl,Y2,t,e)]
= O.
i.
(1978)
to
147
If Howes
Y2(1) > Y2(0) + 1
and
-Y2(1) - 1 < Y2(0) < 1 - Y2(1),
(1978) that the limiting solution for
UL( ~
- i) = 0,
UL(0) = Y2(O)
Y2
it follows from
will satisfy the reduced problem 1
on
0 < t < t* = ~ (i - Y2(1) - Y2(0))
and the reduced problem
UR(U ~ - i) = O,
UR(1) = Y2(1)
on
t* < t ! i,
i.e.,
f
uL(t) = t + Y2(0),
0 ! t < t*
U
Y2
uR(t) = t + Y2(1) - I,
t* < t ~ i.
Thus, the limiting solution is generally discontinuous (which is asymptotically increases monotonically
at
t*
and its derivative
one elsewhere) becomes unbounded there. near
t*
from
UL(t*)
relations between the boundary values
Y2(O)
to and
Indeed,
uR(t* ) = -UL(t* ). Y2(1),
Y2
For other
other limiting possi-
bilities occur (cf., e.g., Howes). One must generally expect the transition layer at corresponding discontinuity let's assume that
there in
f2(Yl,Y2,t,0)
to the equation for
YI"
YI"
= 0
t*
in
Y2
to generate a
To simplify our discussion,
however,
and attempt to apply Howes' scalar theory
Thus, consider the reduced problems
fl(VL,t,0)vL + gl(VL,U,t,0)
= 0,
0 < t < i,
VL(0) = Yl(0)
fl(VR, t,0)v~ + gl(VR,U,t,O)
= O,
0 < t < i,
vR(1)
and
The limiting solution for
Yl
will be provided by
= Yl(1).
if the stability con-
vR(t)
dition
fl(VR(t),t,O) holds throughout
0 < t < 1
> 0
and the boundary layer stability assumption
rVR(0) (vR(0) - Yl(0)) J
fl (s'0'0)ds
>
0
q for
q
between
vR(O)
and (including)
that the limiting solution is
VL(t)
on
Yl(O).
Similar conditions would imply
0 < t < i
with boundary layer behavior
148
near
t = i.
If, instead, we have
fl(VR(t),t,0) > 0
on
tR < t < i
fl(VL(t),t,0) < 0
on
0 < t < tL
while
with
tR < tL,
we can expect
Yl
to have a limiting solution /
Yl
as
c + 0
J VL(t),
0 ~ t < t
VR(t),
t < t ~ 1
V
provided we can find a
t
in
J(t) = O,
(tR, tL)
such that
J'(t) ~ 0
for r J(t) = J
VR(t) fl(s,t,0)ds VL(t)
(cf. Howes (1978)).
Pictorially, we will have limiting solutions
Y2
and
shown in Figures 2 and 3.
Y2 (i)
Y2 uR
i
..............
!
t
Y2 (0) Figure 2
Yl
as
149
yl
vR
b t A
t
t*
1
Figure 3
Note that
Y2
has a jump at
t
and
Y2'
has a jump at
Haber-Levinson crossing (cf. Howes (1978)).
t*,
corresponding to a
Much more complicated possibilities
remain to be studied.
Acknowledgment We wish to thank Warren Ferguson for his interest in this work and for calculating the solution to the first example.
References i.
N. R. Amundson, "Nonlinear problems in chemical reactor theory," SIAM-AMS Proceedings VIII (1974), 59-84.
2.
E. A. Coddington and N. Levinson, "A boundary value problem for a nonlinear differential equation with a small parameter," Proc. Amer. Math. Soe. 3 (1952), 73-81.
3.
D. S. Cohen, "Perturbation Theory," Lectures in Applied Mathematics 16 (1977) (American Math. Society), 61-108.
4.
J. D. Cole, Perturbation Methods in Applied Mathematics, Ginn, Boston, 1968.
5.
F. W. Dorr, S. V. Parter, and L. F. Shampine, "Application of the maximum principle to singular perturbation problems," SIAM Review 15 (1973), 43-88.
6.
A. Erd~lyi, "The integral equations of asymptotic theory," Asymptotic Solutions of Differential Equations and Their A~.!ications (C. Wilcox, editor), Academic Press, New York, 1964, 211-229.
150
7.
A. Erd~lyi, "Approximate solutions of a nonlinear boundary value problem," Arch. Rational Mech. Anal. 29 (1968), 1-17.
8.
A. Erd~lyi, "A case history in singular perturbations," International Conference on Differential Equations (H. A. Antosiewicz, editor), Academic Press, New York, 1975, 266-286.
9.
W. E. Ferguson, Jr., A Singularly Perturbed Linear Two-Point Boundary Value Problem, Ph.D. Dissertation, California Institute of Technology, Pasadena, 1975.
i0.
P. C. Fife, "Semilinear elliptic boundary value problems with small parameters," Arch. Rational Mech. Anal. 52 (1973), 205-232.
ii.
P. C. Fife, "Boundary and interior transition layer phenomena for pairs of second-order differential equations," J. Math. Anal. A ~ . 54 (1976), 497521.
12.
W. A. Harris, Jr., "Singularly perturbed boundary value problems revisited," Lecture Notes in Math. 312 (Springer-Verlag), 1973, 54-64.
13.
F. A. Howes, "Singular perturbations and differential inequalities," Memoirs Amer° Math. Soc. 168 (1976).
14.
F. A. Howes, "An improved boundary layer estimate for a singularly perturbed initial value problem," unpublished manuscript, 1977.
15.
F. A. Howes, "Boundary and interior layer interactions in nonlinear singular perturbation theory," Memoirs Amer. Math. Soc.
16.
F. A. Howes,
17.
W. G. Kelley, "A nonlinear singular perturbation problem for second order systems," SIAM J. Math. Anal.
18.
M. Nagumo, "Uber die Differentialgleichung Math. Soc. Japan 19 (1937), 861-866.
19.
R. E. O'Malley, Jr., Introduction to Singular Perturbations, Academic Press, New York, 1974.
20.
R. E. O'Malley, Jr., "Phase-plane solutions to some singular perturbation problems," J. Math. Anal. Appl. 54 (1976), 449-466.
21.
P. R. Sethna and M. B. Balachandra, "On nonlinear gyroscopic systems," ~echanics Today 3 (1976), 191-242.
22.
W. Wasow, "Singular perturbation of boundary value problems for nonlinear differential equations of the second order," Co_~. Pure Appl. Math_. 9 (1956), 93-113.
23.
W. Wasow, Asymptotic Expansions for Ordinary Differential Equations, WileyInterscience, New York, 1965 (Reprinted: Kreiger, Huntington, 1976).
24.
J. Yarmish, "Newton's method techniques for singular perturbations," S I ~ Math. Anal. 6 (1975), 661-680.
"Modified Haber-Levinson crossings," Trans. Amer. Math. Soc.
y" = f(x,y,y')," Proc. Phys.
J.
HIGHER ORDER NECESSARY
CONDITIONS
IN OPTIMAL CONTROL THEORY
H.W.Knobloch
1.1ntroduction The lecture non-linear
is intended systems
a dynamical (1.1)
to give a survey
theory.
Here the notion
law given by an ordinary x = f(X,U)
plus a constraint in u-space
on
u
of the form
and the control variable
by piecewise missible
u~U,
The state variable
of
functions).
control
t
x = f(x,u(t))
Attention
will be focused
and
x(.)
solution
is called a solution
(ii) characterization
of special
which has two advantages area.
It provides
mentary
tools.
essentially
where
U (adu(')
is
of the differen-
of (1.1).
solution
of (1.1),the
approach
tests for
of (1.1) . so called
to both problems
compared with other relevant work in this
more accurate
The background
in a careful
solutions
a unified
in
(i) Sufficiency
along a given arbitrary
We present
dimensional
of the control variable
(u(-),x(-))
on two topics:
set
x=(x 1,...,xn) T
are finite
local controllability
extrema!s.
to
an arbitrary
which assume values
A pair
function
tial eq.
singular
refers
equation
U being
u=(ul,...,um) T
C~-functions
an admissible
differential
We admit specializations
control
of "system"
in
= d/dt,
(control region).
column vectors.
on some recent research
results
and requires
work consists,
analysis
roughly
rather
ele-
speaking,
of the way in which the solutions
152
of the differential function.
eq.
(1.1) depend upon the choice
This analysis
will be carried
of the control
out in detail
in a forth-
coming paper. 2. Local controllability We consider tion)
a
fixed
and cones
solution
on some interval
controllable x I = x(t I )
(u(.),x(-))
[0,t I]
solution
of
x o = x(0).
xI
This concept
most common access
to sufficiency
systems uses cones
approximations
to the set
x ° . The usage
guments
~
tensions.
in linear systems
of all points
control
(c.f.
and associate
the since conex-
so far is the
To begin with we shortly (i.e.
in the sense of Hestenes)
ar-
of a
outline
a
a derived
which contains
cone ond the cones used in the work of Krener.
consists
fixed intermediate
involves
most attention
at
tI
the
have been made to find suitable
cone for
The procedure
e.g.
It was felt however
method for a cone of attainability
both the Pontryagin
at time
[2]) which leads to a statement
Principle".
x(t I )
The
with separation
theory,
construction d
theory.
attainable
Maximum Principle
The one which has received
"High Order Maximal
of the
cone does not yield the best possible
and attempts
recent work of Krener
initia-
These are convex
in connection
of a cone of attainability.
vex approximation
trajectories
is the local equivalent
tool in optimal
long that the Pontryagin
solu-
into any point of
of attainability.
standard proof of the Pontryagin construction
(reference
tests for local controllability
of such cones
is a familiar
tI
along admissible
controllability
of nonlinear
(1.1)
at the terminal point
if it can be steered within time
notion of complete
from
of
. The system is said to be locally
along the reference
a full neighborhood ting from
of attainability.
essentially
point
of two steps.
(u(~),x(~))
SteD I. We pick a
of the reference solution q7 with it a certain non-empty subset II = II~ of the
153
state space.
II can be described roughly as follows
tailed description
(for a more de-
cf. [1], full proofs will be given in the forth-
coming paper). We collect all n-dimensional vectors which appear as first non-vanishing coefficient in any formal power series which can be generated in the following way. Consider an admissible control function
u(-,k)
which depends upon some positive parameter
which is such that borhood of
~
u(t,k)=u(t)
(= reference control)
which shrinks to zero for
the solution of the differential has for
eq. (1.1)
except a neigh-
Let then
(with
and
x(',k) be
u=u(t,~)) which
t=0 the same initial value as the reference trajectory.
then the asymptotic expansion at Step 2. point
~0.
k
Each set xI
k=0
lit, 0 ~ t ~ tl,
of
x(t,k)-x(~).
is transferred to the terminal
by means of the linear mapping
of the variational equation.
Take
induced by the solutions
Then the union of the transferred sets
and finally the convex cone generated by its elements is taken. The result is then the cone of attainability which will be denoted by K and which provides the basis for the subsequent considerations. Theorem 2.1 Hestenes,
cf.
terior to
~.
K
is a derived cone for ~ a t [3]). In particular,
if
x(t I) (in the sense of
K = ~n
then
x(t 1)
is in-
If the reference solution is optimal then by standard arguments (state
augmentation technique and application of the generalized
multiplier rule, cf.
[3]) one can derive from Theorem 2.1 first
order necessary conditions.
These conditions can also be obtained
in a more geometric way via the following theorem. M will denote a subset of the state space which is defined in terms of equations and inequalities.
The notions
"regular point of M, relative interior
point of M, tangent cone T at some regular point of M" are used in the sense of
[4], Chapter VII, p. 320.
154
Theorem 2.2
Let
M
regular point of
be a subset of the
M. If there exists
and the tangent cone
R n)
. This implies
variable
y(-)
T
constraints
3. Singular
extremals.
application
extrema!.
ments of
K
necessary
conditions
a linear
control
problems form,
e.g.
u(')
assumes
the reference
solution
criterion)
Since in case of a singular Maximum Principle
there is particular
In the lecture
frequently
interest
all known second
type necessary
conditions,
in applications
and mostly
The first result is an inequality
known in the literature
as generalized
In case of a multivariable
in
special
turns
cone.
The
are then called
order conditions
in fact they are contained
completely
the
in those ele-
in the Pontryagin
in some detail.
one speaks
extremal
which arise from those elements
space which is contained
widely used Goh.
to some performance
which will be discussed
to equality
state
remarks.
which are not contained
will be touched upon, results
(in the
tE[0,t I] ,
and inequality
U. If in addition
of the Pontryagin
order".
M, then
hold
to optimality
that the reference
of
out to be of little use,
"higher
to
.
applications
General
(with respect
of a singular
adjoint
which
one is seeking for a Pareto-optimum.
in the interior
is optimal
of x(tl)
and all
both in equality
From now on it is assumed values
k~T
be a
are separable
relations
PE ~ t
for all
Note that this result allows
where
x(tl)
x(tl)
interior
of a non-trivial
for all
Y(tl)Tk- ~ 0
to problems
at
the following
y(t)Tp ~ 0
with terminal
is relative
M
the existence
such that
(2.1)
to
and let
a neighborhood
does not contain a point of ~ w h i c h K
Rn
in the two basic The second depicts IIt. It gives rise
cases of which are
attributed
to Robbins
and
type relation which is Clebsch-Legendre
condition.
control we obtain a conclusive
result
155
which seems not to be known so far (cf. related work by Kelley, Moyer,
Jaeobson,
The theory
Krener
application
also relies heavily linear
systems.
interest
and others).
of second order necessary
straightforward
conditions
algebraic
The formalism which brings
which are in complete
agreement
treat control
strictly
theory,
facts about non-
out of two ideas
with our general
line,
from the differential
Firstly we introduce
an analogue
bility matrix into the non-linear
theory.
namely
which arises
of the Kalman controlla-
Let us consider
(3.1)
x = f(x,u)
Let
us
v-th
assume
from the Hamiltonian y = -
for
simplicity
time derivative
(~H/~u)(x,y,u)
b
H(x,y,u)
the Hamil-
that is the
= y T . f(x,u):
fx(X,u)Ty that
u
is
scalar.
Take
the
formal
of the scalar function
= yT-fu(X,U)
with respect
is easy to see that it can be represented where
to
equations
tonian system for the state and adjoint state variable, system
but
out these facts is of
in its own right and can be developed
viewpoint.
is not just a
of convex approximation
on some non-trivial
systems
Kopp,
is a n-dimensional
to the system
(3.1).
in the form
yT'b
vector having as components
It
certain /
functions of
x,u
and further
In case of a linear b
just coincides
system
independent
(i.e.
with the
v-th
variables
a system of the form column
AVb
It now turns out that in the general non-linear quence
of the
functions
b -provided
they are defined
of the independent
variables
role not only for the first order necessary not surprising)
x = Ax + bu)
of the Kalman matrix. situation
as above,
~,~,...
the se-
namely
as
- play the key
conditions
but also for the understanding
%
~,~,...u k~j
(which is
of the second order
conditions. The second idea - which so far seems to represent of our approach
- is to study systematically
with respect to the substitution
the real novelty
invariance
properties
156
(3.2)
u ~ u(x,v)
In other words,
we consider
which arise by making
the control
out that the quantities exhibit tution
along w i t h the given system all those
and relations
a rather transparent (3.2). With respect
vious from
contrast
properties
elaborated
behaviour
to the substi-
this is somehow
ob-
given in Section 2. The application
is our main technical
tool.
It allows
of
- in
to other relevant work in this field - to avoid the usage
of the machinery
of Lie-algebra-theory.
4. The oDerator
~
We introduce
.
a set of infinitely
ui, i=0,1,...
, each
ui
being
many independent a m-dimensional
U will be used in order to denote vector-valued ui
Ilt
It turns
by our approach
with respect
to the sets
the explanation
invariamce
depend upon the state.
functions
of
will be denoted by
tacitly be assumed rentiable
ned, where
(4.1)
(1.1)
lUo,Ul,... I ;
It will always
are infinitely
to all variables.
The symbol
many of the variables
) for shortness.
then the Lie-bracket
f=f(X,Uo)
tial equation
and finitely
g(x, U
vector.
the sequence
that these functions
with respect
column-vector,
x
variables
If
g
often diffe-
is a n-dimensional
[f,g] = gxf-fxg
is well defi-
is the right hand side of the given differen(with
uo
r(g) = [f,g] + ~
instead
of
u). Hence
(~g/~ui)'ui. I
i=O is also well defined. operator
The mapping
g ~ F(g)
represents
acting on the set of all n-dimensional
It is then easy to see that in the case we introduced by applying
vectors
Fv
and writing
g=g(x, U
the vectors
in the last section can be obtained
the operator
u o , Ul,U 2 ....
m=l
a linear
u,u,~
from
b
).
which
bo=fu(X,U o)
etc. instead
of
157
We now turn to the case of a multivariable of the
b
is then played by a sequence
where the n-dimensional
column vectors
as follows (the u-th component
(4.2)
~o = (~fl~u~)(X,Uo)
The elements of
~
are
they are polynomials in the case
m=l
if
Hu
in the components
of
ui
B
H(x,y,u)
= yT.f(x,u)
= yTfu(X,Uo)
for
and
1 ~ i ~ v •
As
and its Jacobian matrix
= (yTf 1 .... ,yTf m) u u v-times with respect to
t
and
is carried out according to the rules
dV dt ~ Hu(x,y,Uo)
yT.
=
, ui = ui+1' i=0,I ....
in the form
yTB (x,u)
along a given reference
(1.1),
i.e.
(4.5)
By(t) = Bv(x(t),
i.e. we have
,
By(x, U ) .
This remark leads to a further interpretation B
= IUo,Ul,.-.l
also can be obtained with the help of the
x = f(x,u o) , y= -fx(X,uo)Ty
Let us take the
defined
is denoted by u (~) henceforth)
x, U
then the result can be ~ i t t e n (4.4)
are recursively
= r v ( ~ o) , v=1,2, . . . .
is differentiated
if differentiation (4.3)
~
'
B~
of
Hamiltonian function
Indeed,
u
(m > 1). The role
of matrices By = (B~, .... B~),
C~° functions
the
Hu(X,y,Uo)
of
control
of the matrices solution
Bv
u(.),x(')
of
let us consider U(t)),
where
U(t)
= lu(t),u(t),...l.
It is then easy to see that the following relation holds (4.6)
d v (yTf. (x(t),u(t)) = y ~ v ( t ) dt v if the differentiation of y is performed (4.7)
y = - fx(X(t),u(t))TY
An obvious consequence
of this relation and the Pontryagin Maximum
Principle are then the well known"first If
u('), x(')
vector
according to the rule
order necessary conditions":
is a singular extremal and
(i.e. a non-trivial
solution of
gin Maximum Principle holds)
then
y(')
an adjoint state-
(4.7) for which the Pontrya-
y(t) ist orthogonal
to the
158
columns
of
By(t),
v=0,1 . . . .
These conditions
of the following
more general
optimal,
the assumption
however
Theorem 4.1
~t
of the matrices $(t)
contains
result.
Here
u(t)Eint
the linear
Bv(t),v=0,1, . . . .
x('), U
u(')
need not to
has to be made
space spanned by the columns
This space will be denoted by
henceforth.
There are good reasons solutions,
for introducing
i.e. via the relation as functions
(4.6),
U(cf.
(4.3),(4.4)).
one to express not only the first
tion
in the next two sections.
is the following
Theorem 4.2
The importance
forming
of
B
relation
as we are going to step in this direcin its own right.
holds identically
in
x, U
for
m=O of this result lies in the fact that it links two which can be performed
with the
with respect to the control variable
Lie-brackets
out of its columns
B v - namely uo
in connection
with
and the
(which involves x
differen-
only).
A proof of Theorem 4.2 which is based on the invariance
paper.
This
but also all the
An important
tiation with respect to the state variable
mentioned
them
p,o = 1,...,m ~+I
operations
differentiation
order,
result which is of interest
The following
~,v ~ O,
different
in terms of the
not along given but introducing
enables
demonstrate
x and
B
(4.7)
formally
second order conditions
of
the
instead
all
are also a consequence
principles
(3.2) will be given in the forthcoming
159 5. The generalized Given a reference us assume that
Clebsch-Legendre solution
matrices
B (t)
Theorem 5.1. ~1,...,g m
then
Rn
which is spanned by the columns of the
given an integer
~ ~ O
such that the following conditions (
~.E
¢(t)for
is even and m
~i~ ~( bBi/bu~ ) ) (x(t), U (t))E
and real numbers
are satisfied
Ci~j(bB~/~UoJ))(x(t)' ~(t)) L ' ~ ~ t )
(-1)~/~
I and let
for all tEI. We denote as before by ~ ( t )
Let there be
i
~
on some interval
(cf. (4.5)).
m i,0=1
u(.), x(')
u(t)EintU
the linear subspace of
condition.
all
for some
tel
if
~
- 0
be an integer such that
bB~/bu(J))(x(t), U ( t ) ) + i,j=l,...,m,
that (5.3) is Then
Let
~
all
n o t
tel
and
v=0,...,~-1
true for all
tel,
Assume furthermore
and all
i,j
if
V=~
is an even number and we have
(-1)~/2~bB~/bu(J))(x(t), U ( t ) ) + for all
(bBJ/bu(i))(x(t), ~(t))E ~ ( t )
tel , and
(bB~/b/u(i))(x(t), U ( t ) ) ~ T
i,j=i,...,m .
t
161 6. Higher order equality-type These are conditions
of the form
according to the multiplier which are such that ~(t)
A aE I~t . All elements
u(.),x(')
and they arise, An
of the linear subspace
but there may be more,
to show in the next theorem.
tEI; but otherwise
y(t)Ta = 0
rule (2.1), from elements a of the
have this property,
solution
conditions.
as we are going
We assume again that the reference
satisfies the condition it can be arbitrary.
u(t)Eint(U)
In particular
for all
it need not
to be optimal. Theorem 6.1. Let
~ _> 0
be an integer such that the following ele-
ments belong to the space (i)
(bB~/bUo(J))(x(t),
for
U(t))
for every
for
tEI:
v ~ ~, i,j=l ..... m
i,j = I .... m.
Conclusion:
The elements
(6.1) belong
~(t),
~ (~B~/bu~J))(x(t), to
"Ift
for every
tEI
U(t)) and
i,j=1,...,m.
There is an important special case of Theorem 6.1 which is known (or rather its consequences
Corollary
1.
Let
f(x,u)
for singular extremals are known).
be a linear function in
u
Then + (~B~/~Uo(J))(x(t)' U(t))E for i,j=l,...,m
Proof.
If
f
and all
~t
tEI
is linear in
u, then
Bo = fu
is independent
from
162
U and hence
Bi, {j)
b o/bU o
is zero identically in
x, •
. It follows
then from Corollary 2 to Theorem 5.1 that the hypotheses 6.1 are all satisfied if one takes
~=I
of Theorem
.
One observes that the conclusion of Theorem 6.1 can also be phrased in this way: The convex cone generated by the elements of ~ t tains the linear space generated by the union of ~ ( t ) ments
con-
and the ele-
(6.1). Let us now return to the special situation considered
in the first corollary of Theorem 5.1. Since every linear subspace of "lit
is orthogonal to the multiplier
the maximal linear subspace of the elements
IIt
y(t),~(t)
is necessarily
if it has dimension
(6.1) actually belong to ~ ( t )
n-1. Hence
and a straightforward
induction argument leads us to the following result. Corollary 2. Assume that
~(t)
is the maximal linear subspace con-
tained in the convex cone spanned by the elements of every
~It , for
tEI. Assume furthermore that (5.3) holds for all
i,j=1,...,m
and for
v=O,...,a
,~
tEI, for
being some non-negative integer.
Then we have (~B~/bu~O))(x(t), U ( t ) ) E ~ ( t ) for every
tel, i,j=l,...,m
and
~=0,...,~
7- ApPlication to sensitivity analysis. We wish to touch briefly upon a further application of the foregoing results which underlines a certain advantage of our approach. the standard techniques of general properties the cone
K
Since
sensitivity analysis are based on the
of derived cones only, they can be applied to
which was introduced
in Sec. 2 - the same cone from
which we have deduced all necessary conditions discussed in this lecture. Thereby one arrives on sensitivity results which take the
163
higher order variational crease
effects
This leads to an in-
of accuracy.
Sensitivity
analysis
in general
changes which the value performance
criterion)
are changed.
is concerned
function undergoes
We confine
fold consists direction
an optimal
function
derivative
V(k)
V'
of
can be estimated
y
Maximum Principle
satisfy
xI
at
k=O
is discussed.
by
x1+kp,
xI
in a certain
k being a positive small
k~O
and that a right-hand
exists.
side V'
for which the statement
holds
true.
The estimate
of
set of all
of the Pontryagin V' now remains
vary instead on the set of those multipliers
of
also a lowering
the
It is then known that
on the (suitably normalized)
the first of the conditions
a restriction
can be found in
x 1. We now change
is well defined
assumes
those multipliers
y
account
of a typical
from above in terms of the values which a certain
linear functional
if we let
outline
that for each sufficiently
V(k)
of the
control problem where the terminal mani-
ef a single point
Let us assume
for the
if the data of the control problem
example
p, that is we replace
paramter.
(i.e. the optimal value
A more detailed
[5] where also an illustrative Let us consider
with estimates
ourself to a sketchy
result and its extension.
value
into account.
y
V'
follows
cone is contained
which
That this indeed means
to a subset of the original
of the bound for
that the Pontryagin
(2.1).
valid
set and therefore
simply from the fact
in the convex cone
K
References.
[I] H.W.KNOBLOCH, Dynamical Press
Systems,
1977, pp.
[2] A.J.KRENER, to singular pp.
Local controllability
256-293.
A.R.Bednarek
in nonlinear
and L. Cesari
systems,
eds.,
Academic
157-174.
The high order maximal principle extremals,
SIAM J. Control
and its application
Optimization
15 (1977)
164
[3] M.R. HESTENES, Calculus of Variations and Optimal Control Theory, Wiley, New York 1966 [4] H.W.KNOBLOCH und F.KAPPEL, Gew~hnliche Differentialgleichungen, B.G.Teubner, Stuttgart, 1974. [5] B.GOLLAN, Sensitivity results in optimization with application to optimal control problems. To appear in: Proceedings of the Third Kingston Conference on Differential Games and Control Theory 1978.
Author' address: Mathematisches Institut, Am Hubland, D-8700 WGrzburg, Fed.Rep.Germany.
RANGE OF NQNLINEAR PERTURBATIONS OF LINEAR OPERATORS WITH AN INFINITE DIMENSIONAL KERNEL
J. Mawhin and M. Willem
I n s t i t u t Meth~matique Universit~ de Louvain B-134B Louvain-la-Neuve Belgium I . INTRODUCTION Much work has been devoted in recent years to the s o l v a b i l i t y o f nonlinear equations o f the form (1.1)
Lx - Nx = 0
in a Bsnach space, or to the study of the range of L - N, when L is a Fredholm mapping of index zero and N satisfies some compactness a s s u ~ t i o n . graphs[ 8 ] , [ 1 1 ]
and[13]
.
Basic
for
this
study
is
the
5ee for example the mono-
reduction
of
equation
(1.1)
to
the fixed point problem in the Banach space X (1.2)
x - Px -
(JQ + KF~)Nx = 0
or to the trivially equivalent one in the product space ker L x ker P,
(u,v) = (u + JQ~u+v), KpQN(u+v)) where P and Q are continuous projectors such that (1.3)
Im P = ker L ,
Im L = ker Q ,
KpQ i s the associated generalized inverse o f L and J : Im Q -~ ker L i s an isomorphism. The compactness assumption on N generally implies that (JQ + KpQ)N i s a compact mapping on some bounded subset o f X and, P being by d e f i n i t i o n of f i n i t e rank, (1.2) i s a fixed point problem for a compact operator in X and degree theory is available in one form or another.
If one replaces the Fredholm character of the linear mapping L by the mere
existence of continuous projectors P and Q satisfying and is at best non-expansive,
(1.3), then P is no more compact
which makes the study of the fixed point problem (1.2)
very d i f f i c u l t even f o r (JQ + KF~)N compact (see e . g . ~ ] In a recent paper, Br~zis and Nirenberg [ 4 ]
, chapter 13).
have obtained interesting results
about the range of L - N when X is a Hilbert space, N is monotone,
demi-continuous and
verifies some growth condition, and L belongs to some class of linear mappings havif~g in particular compact generalized inverses.
Those assumptions are in particular
satisfied for the abstract formulation of the problem of time-periodic solutions of semi-linear wave equations.
The proof of the main result in [4] for this class of
mappings is rather long and uses a combination of the theory of maximal monotone operators, 5cheuder's fixed point theorem and a perturbation argument.
166
In this paper, which is the line of the recent work of one of the authors ~B]for the case of a Fredholm mapping L, we consider problems with dim ker L
non finite
by an approach which is closer in spirit to the continuation method of Leray and Schauder [14], although we still have to combine it with other powerful tools of nonlinear functional analysis like the theory of Hammerstein equations and of maximal monotone operators.
We first obtain a continuation theorem for Hammerstein equations
(Section 3) whose proof requires an extension of some results of De Figueiredo and Gupta ~ g i v e n
in Section 2.
This continuation theorem is applied in Section 4
to obtain an existence theorem for equation
(1.1) in a Hilbert space under regularity
assumptions slightly more general than the ones of Br@zis-Nirenberg growth restrictions replaced by a condition of Leray-Schauder's of some set.
This existence theorem is then applied in Section 5 to abstract problems
of Landesman-Lazer [9]
and with the
type on the boundary
type, the first one corresponding
when dim ker L 0 such that I for all x E H for which
IPxt = R and
|(I - P)x~ ~ r
,
one has (Nx,Px)
~
0 .
Then t equation (4.1) has a t l e a s t one s o l u t i o n . Proof.
We shall apply Theorem 4.1 with the open bounded s u b s e t ~ ~xEH
Q- =
:
IPx|~R
and
|(I
-
of H defined by
P)x~O)(V
x ~H)
:
INx I ~
r
.
3. N is monotone, i.e. (f(s,x(s)) - f(s,y(s)),x(s) - y(s))ds
~
0
I for all x ~
H and y ~ H
Let us now define dom L
= {xEH
. dom L ~ H by : x is absolutely continuous in I together with x', x"~= H and
x(O) - x ( 1 )
= x'(O)
-
x'(1)
so that dom L is a dense subspace of H~
let
= o ~
,
L : dom L C H --~H~ x~-P-x", so
that L is closed and ker L = ~ x ~ dom L : x is a constant mapping from I into H I } ,
Im L = ~x ~ H
ker L = Im P
:
~I x(s)ds = 0 } =
with P : H - - ~ H
(ker L) "L
the orthogonal projector onto ker L defined by
Px = ~
x(s)ds
.
I
THEOREM 6.1. R~
Assume that the condit~pns above hold for N and that there exists
0 such that~ for a.e. t E 1
(6.3)
and all x ~
(f(t,,x),x) I
~
H I with
~ x | 1 ~ R, one has
(r/21¢) 2 .
Th.en~ problem (6.1-2) has a t l e a s t a (~aretheodor.v) s o l u t i o n . .Proof.
We s h a l l apply the v a r i a n t o f Theorem 4.1 mentioned i n Remark 4.1 to the
equivalent abstract equation in dom L ~ H
177 Lx = Nx . C l e a r l y , the sssumptions
completely continuous
we have made imply t h a t I - P + N i s monotone and K(I - P)N
(one shall notice that for H I infinite-dimensional,
continuous but not s compact mapping).
K is a
It suffices therefore to show that the
possible solutions of the family of equations (6.4)
Lx = (I - A)Px + $~Nx
are a p r i o r i bounded.
,
XE]O,I[
,
By applying I - P and P t o both members o f ( 6 . 4 ) , we o b t a i n Lx = ~ ( I - P)Nx ,
(6.5)
O = (I - %)Px + APNx ,
and hence, Ix"l
Letting
= ILxI(INx|
(r
x = u + v, with
.
u = Px and using elementary properties of Fourier series,
this implies that (6.6)
Iv|
~
(2T~) - 1 | x ' l
~ (211;)-2 ~x"l
~
(2TC)-2r
and max t~.I Therefore,
Iv(t)|
_~ ItrI((21~)23 I/2)
lu~ = |u | 1
if
= r' •
I
~
Ix(t)~l~lUll
R + r', one has, for all t ~
-
max t~I
I,
l v ( t ) l 1 ~, R ,
and therefore, by (G.3), for a.e. t & I,
(?(t,x(t)),x(t)) I >~ (r/2~) 2 so t h a t (6.7)
(Nx,x) ~. ( r / 2 ~ ) z .
But (6.5) impliesp after having taken the inner product with x, O = (I - ~ ) l u | 2 + %(PNx,x) , i.e.
0 = (1 - ~ ) l u | 2 + ~ ( N x , x )
- ~(Nx,v)
.
Consequently, using (6.G) and (6.7)~ one gets
0 >~ (1 - ~ ) | u 1 2 + a contradiction.
A(r/2~) 2- ~(r/(2It)
2)
= (1 - % ) l u l
2 ~
(1 - ~)(R + r ' ) 2 ,
Therefore lul 1
: =
b) A e ~ ( 3 ( , ~ )
for
fc~'
and
me~ .
- or at least l i n e a r , densely defined, and closed
- is called " t r a n s l a t i o n i n v a r i a n t " i f
on
(1.14)
(AThm)(x) = (ThAm)(x)
In t h i s case one writes
for
AC~(JE,~). H~RMANDER [51]
Theorem 1.2 :
Let ~ c 3 E , ~ c ~
duals - where
~
is dense in the topologies of
Al~m
hC~ n . proved in 1960
be B-spaces of functions on
Then there e x i s t s a uniquely defined (1.15)
mc3E and
~AC ~'
= F- I OA.Fm
~
and ~
~n _ or t h e i r , resp., AE ~(~,~).
such that for all
~
~.
~A is called the "symbol of A". I f JL~E,~) denotes the set of a l l s~T~ibols to p l i e r f u n c t i o n s " - then i t is known that [51] J~(k2(~ n ) ) = L~(~ n)
AE~)
- also called ' ~ u l t i -
~ ( L P ( ~ n) c L~(~ n) ~V~(LP(mn) , Lq(mn)) = {0} Extending to Frech~t-spaces one has
or f o r i t s dual
~'
:
if
l~q O} or wedges W(~)::{xE~ 3 , x l + i x 2 = r ~ , X3ER} or cones w i t h edges: polyhedral domains.
0 g~,
A l l of these are special cases of Definition a
"General Wiener-Hopf operators (WH0s)" : Let
1.3 :
P = P2E~(3E)
B-space, and
a linear,
AE~(]E) , 3£
continuous p r o j e c t o r on 3C . Then i t
is
given by (1.24)
(Tp(A)~)(x)
: = (PAlm(p)~)(x)
Remark 1.3 :
In the " c l a s s i c a l
l < p < = , and
P = ×G"
B.
cases" mentioned above we got
the "space p r o j e c t o r "
for
Gc]Rn
and
~_= LP(~Rn)
,
A E~((3E)
To admit " v a r i a b l e kernel f u n c t i o n s " , e. g. the "generalized L l - c o n v o l u t i o n
i n t e g r a l equations" (1.25) or
(A~)(x) : = a ( x ) ~ ( x ) - ~ k ( x , x - y ) ~ ( y ) d y = f ( x ) E L P ( ~ n ) IRn - even more -
Definition
1.4 : Equations w i t h "generalized t r a n s l a t i o n
(1.26)
(A~)(x) : = ( g i l x ~ A ( X , ~ ) . F y ~ ~ + ~ ) ( x
where~,,e, g.
OA(X,~) = j =sl a j ( x ) .OA.(~ O ) , aj
or
being m u l t i p l i e r
Rn'
~A
operator on ~
symbols, and
Combinations of
A and
V
on
~n
being a completely continuous
B
lead to important classes of s i n g u l a r i n t e g r a l
~(~ , e. g.
30 = ~ c ~ , a Ljapounov-curve: equations"
(1.27)
being continuous c o e f f i c i e n t s
.
equations on manifolds (j)
i n v a r i a n t operators ( G T I ~ ) "
"classical
Cauchy-type s i n g u l a r i n t e g r a l
(K~)(x) : = a ( x ) ~ ( x ) + ~ i f k ( x , y ) ~ ( y ) d y x - y
= f(x)
in various spaces ~ = C~(r) , mE~ , O 0
LP(N) ÷ LP(a,b)
193 Here A
oo
__
1-k+(~) -~ The proofs are worked out by inserting terms, e. g. (2.25)
(W~)(x) = ~(x)
i~lai(~).~nki(x-y)m(y)dy +
-
s [ai(x)-ai(~)]. I ki(x-y)~(y)dy i=l Nn +
= (l-W=lm(x) + (wlm)(X)
= f ( x ) E3E~+
where I-W~ c~(3E+) and even boundedly i n v e r t i b l e f o r ~ = 0 ( i . e . always' for n~2!) and W1 is the sum of a compact operator and one of "small norm", so being E~(~+) too. Thus the index of
W is the same l i k e that of the f i r s t
term.
2.3 : WHOs, p a r t i c u l a r l y for ~+ , have been studied also f o r the whole scale of Sobolev-Slobodezki-spaces ws'P(~+) and w~'P(~+), the functions of ws'P(R) : = { f ~ ' : F-I(1+I~I2) s/2 FfcLP(~)} ; l~p 0
where to
# (0,0)}.
8' : = ~ ' / I ~ ' I
~+.
Here
(2.47)
A(8',Dn)
has been f i x e d and
P+ denotes the r e s t r i c t i o n
is defined as a p s e u d o d i f f e r e n t i a l
A(e',Dn)~+(Xn)
operator
operator (PDO) by
_i ^ : = (F n A(e',~n)Fnm(Yn))(Xn)
A
where
A(e',(n)
is homogeneous of degree
m with respect to
(n
or even a more
general one ( c f . the work by VlSHIK & ESKIN (1965,'67,'73) ~i03,104,105] RABINOVI~ (1969 , ' 7 1 , ' 7 2 ) [ 7 2 , 7 3 , 7 4 ] (1971,'73)
[17,1~ and others!).
, BOUTET DE MONVEL ( 1 9 6 9 , ' 7 1 ) [ 5 , 6 ] ,
DIKANSKI[
197
2.7 :
WHIEs and WHIDEs may be considered not only for C-valued or sN-valued
functions but in a more general context as B-space-valued equations. Then the problem for ~ +n , n~ 2, may be f i t t e d into the theory too. Concerning a general theory of operator WHeqs. FELDMAN investigated several cases (1971)[32,33,34] in connection with problems of radiative energy transfer. GRABMOLLER(1976, 1977) [49,50] discussed such i n t e g r o - d i f f e r e n t i a l equations on ~+ of f i r s t order with a linear, closed operator (2.48)
- A generating an analytic semi-group involved
m'(t)+c(Am)(t) + 7 ho(t-s)(Am)(s)ds + ~7 hl(t-s)m'(s)ds O
where h o , h l E L l ( ~ )
= f(t)E~.~
O
are scalar-valued functions, ~ +
a r e f l e x i v e B-space and
denotes the strong d e r i v a t i v e , the integrals to be understood in the Bochner sense of LP(R t;31[+), %aEt. He is mainly interested in the asymptotic behavior of the solution as t ÷ ~. 3.
Compound integral and i n t e g r o - d i f f e r e n t i a l and Ll-kernel type on ~n
equations of the princ!pal value
MICHLIN [ 60 ]introduced in 1948 the notion of the symbol f o r singular Cauchy-type integrals along curves r c £ and also f o r operators on ~ n , nm2 . He and mainly CALDERON & ZYGMUNDstudied the mapping behavior of the CMOs since 1956 (cf. e.g. [ 8 ]). The f i r s t systematic treatment of the corresponding integral equations probably was published in MICHLIN's book (1962) whose English translation appeared in 1965 [61]. A more recent account, also on i n t e g r o - d i f f e r e ~ t i a l equations with CMOs as c o e f f i c i e n t s , may be found in Chap. IX of the book by ZABREYKO et al. (loc. c i t . ) . AGRANOVI~ (1965) treated equations of the following type in his extensive survey a r t i c l e [1 ]: (3.1)
(Am)(x) : =
as an operator
s (MuDUm)(x) + ( T ~ ( x ) : f ( x ) l~l~m
A : wm+~'2(~ n) ÷ W~'2(~ n ) , or
~n
replaced by
~+n
or a smooth
compact manifold ~O . The symbols (3.2)
oM (x,~) : = au(x) + (p.v. Fy~ fu(X'ly_] y -_) )(~) lyl n
> n-I are assumed to be EcP(]R n ,Hq(sn) ) where pc]No and q ~ such that, by Sobolev's embedding theorem, they form an algebra of continuous functions on ]Rn>~ En which are homogeneous of degree zero in ~ . He shows that to every such function o(x,~) there corresponds a characteristic f(x,O) EcP(IR n,Hq'n/2(sn )) (theorem 7.12). The operator T is one of order almost m-i which would be n compact for a compact manifold ~9 instead of ]Rn or JR+ by Rellich 'S c r i t e r i o n .
198
AGRANOVI~ proves a couple of theorems which give necessary and s u f f i c i e n t conditions f o r
A to be Fredholm-Noether by means of the e l l i p t i c i t y
condition of the
symbol or the existence of a - p r i o r i estimates (theorem 12.1). He obtains then the well-known properties f o r e l l i p t i c
operators, such as r e g u l a r i t y , s t a b i l i t y with
respect to parameters etc. (cf. his theorems 12.2, 12.3, 12.4L). But, in the case of
IRn or IR+ n he does not give regularizers in the sense of theorem i . I above. SEELEY[82] investigated at the same time (1965) singular i n t e g r o - d i f f e r e n t i a l
operators on vector bundles of smooth manifolds ~P and tensor-products of such. We are not going to enter into t h i s detailed material but j u s t want to give two d i f f e r e n t approaches: one relying on DONIG's work in (1973,'76) [19, 21 ] and the other on SIMONENKO's (1964,'65)!91,92] , RABINOVI~'s (1969-'72)[72,73,7'4] and SPECK's approach (1974-'77)[96,98]. (n=i) (3.3)
In 1973 DONIG[ 19] treated the case of ~R
with the singular i n t e g r o - d i f f e r e n t i a l operator (SIDO) m (A~)(x) : = ~ {au(x)l+b (x)-H+c (x).ku~}(DP~)(x) = f ( x ) p=o
on Sobolev-Slobodezki spaces
ws'P(IR) , sEIR, l E} +O,n + ~ , for a l l c > O} and where fEWs-m'P(~R)
is
given. He applies the RAKOVSH~IK technique (1963)[75] by defining the symbol of A through A
(3.4)
OA(X,~ ) : = [am(X)_ibm(x)sig n ~ + Cm(~)km(~) ] ~m + m-1 + Z ~a ( ~ ) - i b (~)sign ~ + c#(~)C ( ~ ) ] ~ p=O )~
~
I]
:=~u{-~}u{+=}. ~A(X,~) # 0 on ]RxIR , where Using the Bessel potential operators jm : = F-1(1+I~I2)-m/2F he gets the relations
which is called " e l l i p t i c "
(3.5)
iff
Dmjm : ( i l l ) m (l+rmw)
with a rmcLl(]R).
Then he treats the case of constant coefficients f i r s t . r i g h t - h a n d side by
A is m u l t i p l i e d from the
jm _ s i m i l a r to GERLACH's approach - leading to the equation m
(3.6)
(3.7)
(A dm~)(x) = (B'm~)(x) +
B"
: =
~ ~ lJ=o
r ~( p
where
I + b H + k ~ ) " { (iH)m (a
u
~
I
for
~ =m
for
O~ u-<m-I
and some r~ELI(1R). He succeeded in c o n s t r u c t i n g a bounded i n v e r s e operator CmC~(LP(IRn)), l 0 x C~ n aA° ~dR n
and
(3.16)
i n f lOA(¢) I > 0 ~E~ n
or
2.
(~) + (FY'+~k~(x 'Y)) ( ~ ) } ~
iYl n
A is coercive on Wm'P(~Rn ) , i . e .
there exists a T > 0 and a compact semi-norm
x'l[~llm, p o there exists a neighborhood %(Xo) and an ~IzEC=(]R n) with
mlL(x) m 1 on ~ (Xo)
ml,~2~C~(]R n)
~im2 = 0 . We then w r i t e
such that
(4.z)
inf II V~0
< ~
and
(4.2)
inf II (A-B) ~z" I-V 1[ZL~) < c VN)
, too.
~-I(A-B)-VlI~(z)
-if'', written as A E ~xO(~) ( i i i ) AC£(~) is said to be " l o c a l l y Fredholm at Xoe-R i f f there exists a neighborhood ~(xo), and a pair of operators RL,x o and Rr,xo such that (4.3)
(R~,xoA-l)w~.l~O
and
~ .l(ARr,xo-l) ~ 0 .
Remark 4.1 : I t may be shown (cf. e. g. SPECK (1974)[96], p. 50) that in case of ~[= LP(A n)___pproperty ( i ) is equivalent to ( i ' ) [ A , w . l ] : = A ~ . I - ~.I A ~ 0 for all ~CC~(R n) and ( i " ) X E . A xG.I-~O for all E , G c ~ n with EnG = ~. For this case also ~ # C ~ ( ~ n) may be replaced by ×~ in ( i i ) , ( i i i ) , see also RABINOVI[ (1969)[Y2]. SIMONENKO in 1964 [91]proved the following theorems. Theorem 4.1 :
Let
AEy~(X). Then A E ~ ( ~ )
Theorem 4.2 :
Let
A,B c~(~)
iff
AE~×o(~_)
Xo for a fixed and A-~B
Xo~
for all
XoEIRn.
. Then
A~x ° (3~)
iff
Bc ~Xo(~" Some of SIMONENK0's additional results had been generalized by SPECK (1974)[96] ,viz. Theorem 4.3 : AE~Xo
Let
A E~0E), where
for an i n f i n i t e remote point,
~_= Lp ( ~ n ) , xo E ~ I ~ - R n
vertible. Theorem 4.4 :
Let
X = LP(~ n) , l O. ~oe ~o (x '~)e-~Trxmn
Thus we get (iv)
essinf Lo(x,~)I > o (x,~)e~n~ n
asa s u f f i c i e n t condition, while a necessary one in any case is given by
204 (v)
ess i n f l{(x,~)[ > 0 ( x , ~ ) e ( ~ - ] R n ) x IRn
where x ~ a ( x , . ) III.
For
(vi)
~l(xo,~ )
has to be continuous from
~'T~_ ~Rn
into
L=(~n).
p ~ 2 , A being of type (4.4), in formula ( i v ) we have to add is a ~ - F o u r i e r m u l t i p l i e r symbol for a l l
XoE-~-11-~n
( t h i s leads to more complicated conditions). Applying t h i s to the compound pole-dependent Calder~n-Zygmund-Michlin and L1integral operators on ~ = L2(]Rn) given by x-y
f(x,
(4.5)
(Am)(x) = a(x)m(x) + p.v. I in ]Rn Ix-Y
m(y)dy
+ f k(x ,x-y)m(y)dy ]Rn
one gets the Fredholm c r i t e r i o n by the symbol conditions (4.6)
i n f laA(~,~)i ~ 0 ~e~ n
(4.7)
min xE~ n
i n f Io ~EZn a ( x ) I + A f ( x , . ) / .
since the symbols of the
(~)I > 0
,
CMOs are homogeneous of degree zero.
These are exactly the same conditions l i k e those got by DONIG [21]- in the case of
m = O. As we had seen he proved furthermore the equivalence to coercive inequal-
i t i e s , while SPECK [97] gave the complete extension f o r a r b i t r a r y (non-stabilized) GTIOs in the case of Ac~"x
p = 2. Due to the kind of the characterization theorem for
at f i n i t e points
xo
there occur rest-classes of functions in the d e f i n i -
tion °of the symbol. Now, a l l the considerations above may immediately be generalized to integrod i f f e r e n t i a l equations (4.8)
(Am)(x) = l ~zl ~
(ApDUm)(x) = f ( x ) E
where the c o e f f i c i e n t s A are generalized translation i n v a r i a n t operators according to d e f i n i t i o n 4.2 ( i ) and ~ c ~ m ) c ~' be d i s t r i b u t i o n spaces such that D~mc~ f o r
~E~ o , 0 ~ lul ~ m. F i r s t we notice that the concept of t h i s section
can be completely transferred to the case of
A : ~ ~
operating between d i f f e r e n t
B-spaces. Then choosing l~ = ~C(m) we can see that the Bessel potential operator jm = ~1(1+i~12)-m/2.F wi~l reduce eq. (4.8) to one in ~ . The essential f a c t here is that the js are not only t r a n s l a t i o n i n v a r i a n t operators from ~ ( t ) = wt,p(~n) onto ~ ( t + s ) = wt+s,p(~n) for t,sEIR, l0
~cR n
i f p = 2 in which case the pseudo-inverse of AJm can be constructed as an enveloping operator to the local inverses (AxJm)-IE#NA(L2(~n)). For p # 2 the local existence of these operators must be assured (cf. theorem 4.6). Remark 4.3 : The concept of local equivalence of operators has been generalized by SIMONENKO (1964,'65)E91,9~ from the very beginning to the following one D e f i n i t i o n 4.3 : Let ×, Y be Hausdorff-spaces being homeomorphic by ~ : X ÷ Y and l e t (T~u)(x) : = (u,~)(x) be a non-distorting transformation for all ueLP(Y) , l o
into i t s e l f when the kernel
qcLl(x-I/2;
~+
(cf. e.g. CORDES [11] , p. 897/88!),The general Mellin transform (Mm)(s) : = i x S - l ' m ( x ) dx transforms such a quotier~ convolution into an algebraic product: o
(5.26)
M(gem)(s ) = (Mg)(s).(Mm)(s)
(cf. e.g. TITCHMARSH's book, p. 304). CORDES & HERMAN in (1966) [15] introduced the algebra ~ generated by Ct I , the m u l t i p l i e r s a ( x ) . l EC(~'~) and ~ ( L 2 ( ~ + ) ) such that ~ / ~ is a commutative B*-algebra and the space of i t s maximal ideals is homeomorphic to the Shilov boundary ~ ( ~ x ~ ) = : v ~ . I f • denotes the Gelfand homomorphism of ~ / ~ o n t o C(~() then we have the symbols OA(x,t) ECOl,) given by aal(X,t ) = a(x) ~Kq(X,t) = ~ ( t )
on on
0 ~ x ~ ~ , t = ±~ -~ ~ t ~ +~, x = 0 or
+~
and Os(X,t) and ~T(x,t) as in eqs. (5~23), (5,24). This has been generalized to the corresponding subalgebras of ~ ( L P ( ~ + ) ) , l 0
guarantees the Fredholm-Noether
holds. Then
v(A) = ind A = _K(~p)(~,~)).r
Os~l A d e t a i l e d representation is given by him (1975) [26 ]. 5.8 :
DUDU~AVA in (1974) [25] generalizes his theory to include m u l t i p l e - p a r t
composite Wiener-Hopf equations with strongly singular t r a n s l a t i o n i n v a r i a n t operatorsinvolved, viz. N
S aj(x)-(Wbj.cj(y)m)(x) (Am)(x) : = j=1
(5.61) where the
bjeP?A)(~)
as before, a j ( x )
and
piece-wise constant functions with a f i n i t e I I ~ l l ~ (Lp( multipliers
)
, i . e. f o r
on
L2(~).
p = 2
in
cj(x) •~ C(R),
the closure of the
number of jumps in the operator norm of
L~(~)-~Jorm, since a l l
L~-functions are
The author constructs complicated 2 x 2-symbol matrices along
the l i n e s of GOHBERG & KRUPNIK and formulates necessary and s u f f i c i e n t conditions for
A to be
e~(L2(~))
and calculates the index. The d e t a i l s are too lengthy to
be w r i t t e n down here! In
his paper (1976) [29] DUDU~AVA gives a d e t a i l e d account of the whole theory
extending i t to the quarter-plane case, permitting Sobolev spaces, and systems as w ~ l . 6.
Convolutional i n t e g r a l equations on the 9uadrant
In accordance with
A (iii)
in Chap. 1 l e t us consider the f o l l o w i n g "Wiener-Hopf
i n t e g r a l equation on the quadrant" (6.1) where
(W++ m)(x) : = m(x) - f kcLI(R 2)
and
f
are given,
k(x-y)m(y)dy = f ( x ) E L P ( ~ + ) 2 mcLP(~++)
, x2~0}.
If
sought, ~ + ^ d e n o t i n g ~(~) : = 1-k(~)
the f i r s t
quadrant
= {x = (Xl,X2)E~ 2 : x I ~ 0
c III0(~)
, the two-dimensional Wiener-algebra, and i f we assume i t to be
denotes the symbol # 0 on ~2
then we may f a c t o r i z e i n t o four continuous functions which are holomorphically ex+ ~< H± tendable into the four respective products of half-planes H~i ~2 such t h a t (6.2)
~(~)
(6.3)
a±,±(~) = A
=
P±,± : = quadrants of
~++(~)~_+(~)~_~(~)~+_(~)
where
1 + ~+,+(~) . . . =. exp{Pt, . +~ log ~(~)} FX 2 . I . F -1 ±±
are the F-transformed projectors onto the four
~ 2 . A f t e r grouping the factors in the r i g h t way one recognizes t h a t
(~_+~__)(~)(o++o+_)(~)corresponds to a f a c t o r i z a t i o n of ~ ( ~ ) i n t o symbols belonging
219
to a WH problem f o r the l e f t and r i g h t half-plane of into
(~+j__)(~).(~++o_+)(~)
R 2 while the grouping
corresponds to one f o r the lower and upper half-plane~,
r e s p e c t i v e l y . Denoting the half-plane WHOs by TD (W) and Tp (W) , r e s p e c t i v e l y , ~m where W : = l - k ~ is the two-dimensional L 1-convolution on u ~ L , we have the inverse by GOLDENSTEIN & GOHBERG ( c f . remark 2.1!) e x i s t i n g f o r (6.4)
aW(~) # 0 on ~2 as
[TPr(W)]-I = F-I[~++~+_(~)] -1FP r F-I[o_+~__(~)]-IF
and a s i m i l a r formula f o r
[TPu(W)]-I . Due to a r e s u l t by SIMONENKO (1967) [94]
assuming that
is compact on
XE.I.k,XGI
Lp ( ~ 2 )
, l 0
and
Z admitting " d i l a t a t i o n
operators of order zero whose symbol ~c~n-{o}.
Now, the f o l l o w i n g r e s u l t is true Theorem 6.3 :
( [ 5 9 ] , th. 2). Let
WG be given as above. Then the f o l l o w i n g r e s u l t s
are equivalent: (i)
WGE~(L2(G))
is i n v e r t i b l e
(ii)
WGE ~(L2(G))
and
220
(iii) every operator W in the family defined by F-1 1,2 ~( " " ' x 3 ) F I , 2 ' ~,x3 X3E~, is i n v e r t i b l e as two-dimenslonaL WHO on the sector S~ with angle ~ at the vertex. While in the case of
G = ~n
or
= ~+n , n ~ 2 , the e l l i p t i c i t y
i n f I~w(~)I > 0 ~wE}q@(~n) is necessary and s u f f i c i e n t for the i n v e r t i b i l i t y of ~E~n ' , W operating on LP(~ n) or L P ( ~ ) , l O.
is given by
C = {(a,b) ~
~2
I -a ~ b ~ a}
and the spectral diagram is shown in figure I. If o = (0,0) the eigenvalues i ~ are marked • and denoted by %~. If o = (0,1) the eigenvalues are marked o and i ~ ~ i denoted by ~~. If o = (I,0) the eigenvalues are marked m and denoted by ~~. ~
~
Finally if o = (1,1)
i
the eigenvalues
~
are marked • and denoted by N~.
In order to treat the stability question we must first define what we mean by stability as applied to the multiparameter
Definition (i)
problem.
2.1 A point % £ ~ n is said to be a point of stability for the system (2.1)
if all solutions Yr of the r-th equation are bounded over (ii)
(-~,~),
A point % E ~ n is said to be a point of conditional
system (2.1) if each of the equations has a non-trivial
r = I, ..., n.
stability
for the
solution bounded over
(-~,~). (iii)
A point % £ ~ n which does not satisfy either
be a point of instability
for the system
(2.1).
(i) or (ii) is said to
236
o~
O~
• ~0 ~
",.
\
/'
¢e\
i
%
r
%
s 1 1
i
/
>, n
i
s
s
I
p i z i
r i
Stability regions for Example I. Figure I. We now require to modify our definition of a cone as follows:
Given a
multi-index i = (i|, ..., in) we define the cone C(i) to be the collection of all points a E ~ n for which there are non-zero points fr
L 2 (0, ~ r ) such that
287
[V(f)a]r; the r-th element of the column vector V(f)a, satisfies [V(f)a] r~
~ 0 0
if ir is even, if i
r
is odd.
This defines 2n cones, i.e. 2n-I cones and their negatives.
Finally we denote
by S the set of all points of conditional stability of the system (2.1).
Our
stability result can now be stated as
Theorem 2.2. i S ¢ u [{X~(0) + C(i)}
i n {X~(1) - C(i)}],
(2.6)
I
where
I =
(1,|,
l)
e
This result is illustrated in the case of the above example by the shaded regions of figure I.
For this example we have equality holding in (2.6).
However
in [9J we give an example involving Mathieu's equation for which the inclusion in (2.6) is strict.
§3.
Existence of Eisenvalues Here we apply a classic approach [I0] to the system (2.1) (2.2) (2.3) or (2.4)
to obtain some information regarding the existence of eigenvalues. Let ~r(Xr; X), ~r(Xr; X), r = ]. . . . .
n be linearly independent solutions of
(2.1) satisfying the initial conditions ~r(0; ~) = I,
~r(0; X) = 0,
~'(0; r
~'(0; r
~) = 0,
(3.1)
~) = i,
r = I, ..., n. The general solution to (2.1) can be expressed as a linear combination of the functions ~r and ~r"
That is
Yr(Xr; X) = Cl, r ~r(Xr; X) + C2, r ~r(Xr; X).
(3.2)
It is well known that a necessary and sufficient condition for the existence of two-linearly independent solutions each satisfying the periodic boundary condition (P) is
238
~r(mr; X) = I,
~r(~r; X) = 0,
Cr(mr; X)
~'(~
=
0,
r
r
;
X)
=
(3.3)
1.
Similarly a necessary and sufficient condition for the existence of two-linearly independent solutions each satisfying the semi-periodic boundary condition (S - P) is ~r(~r; %) = -I
~r(Wr; %) = 0,
T
(3.4)
!
~r(~r; X) = 0,
~r(~r; X) = -I.
In general of course a necessary and sufficient condition for (2.1) to have a solution satisfying
(P) or (S -P) is that Dr(h) = ~r(Wr; X) + ~r(~r; X) =
r
=
|~
...,
±2,
(3.5)
n.
The problem of existence of eigenvalues solvability of the system (3.5).
is thus reduced to the question of
By a standard use of the variation of parameters
method we find Dr(X) ~X
r r
2
JO {~r(T; %)~r(~r;
S
X) +
+ ~r (T; X)~r(T; %)[~$(~r; - ~$(T; %)¢~(mr; r~s
=
I,
...~
X) - ~r(~r; %)]
(3.6)
X)}ars(T)dT,
n.
Now if D (%) = i2 r
then the term in { } is a perfect square and since
det{ars} > 0 it follows from the inverse function theorem that (3.5) is uniquely solvable provided the eigenvalues
are simple.
If some of the eigenvalues are
not simple, in the sense that for some range of r, (3.3) and or (3.4) holds then we must work with the n x n derivatives of D
r
Hessian matrix constructed from the second partial
and make use of the inverse function theorem again.
As in the one parameter case, wherein
stability and interlacing
theorems
may be obtained from a study of D and its first derivative, one could study the gradients of D
r
for each r = I, ..., n to arrive at the multiparameter
analogue
239
of these results.
However the technicalities
appear complicated.
In the following section we outline a different approach to the study of periodic multiparameter
eigenvalue problems.
This approach is based on the
calculus of variations.
§4,
The Variational Approach In this section we consider the case of two-parameters
(n = 2) and study
the eigenvalue problem defined by 2 2 d Yr dx 2 + qr(Xr)Yr + s=I~ ~s ars(Xr)Yr = 0, r r = 1,2,
x
r
(4.1)
e [0, ~ J r yr(mr) = Yr(0)exp i ~ t r,
(4.2)
y$(Wr) = y$(O)exp i ~ t r, -I < t ~ I, r
r = 1,2, together with the definiteness
condition
(2.2).
For this problem the existence of a countably infinite set of real eigenvalues can be established either from [20] or by the method outlined in the previous section.
If we consider the eigenfunctions
as being periodically
extended to the whole of ~2 as continuously differentiable conditions
functions the boundary
(4.2) may be rewritten in the form Yr(Xr + ~r ) = Yr(Xr)eXp i~ t r,
(4.3)
r = 1,2. In addition to the condition
(2.2) we shall assume, without loss of generali~,
that al2(X I) < 0
on [0, ~i j,
a21(x 2) > 0
on [0, ~2 j.
(4.4)
This can always be arranged by a suitable scaling or affine transformation applied to the parameters %1' X2' As is well known [20] the eigenvalues and eigenfunctions (4.2) are simultaneous
eigenvalues and eigenfunctions
of the system (4.1)
of the following periodic
240
problems for partial differential equations; viz.: ~2y - al2(X I) ~
~2y + a22(x 2)
~x 2
~x!
+ La12(x])q2(x 2) - a22(x2)ql(Xl)~Y
= % det{a 1
rs
}Y
(4.5) (4.6
Y(x + ~r ) = Y ( x ) e x p i ~ tr, r = 1,2. 82y ~2y al1(x;) ---~ - a21(x 2) ----~ - [all(Xl)q2(x 2) - a21(x2)ql(Xl)]Y ~x 2 ~x I = %2det{ars}Y, together with the boundary condition (4.6).
In this condition the vector ~~r is
defined as ~l = (el'
0),
~2 =
(0, w2).
It should be noted that because of the assumed positivity conditions on a12
and a21 the left hand side of (4.5) is elliptic and it is to this equation that
most of our remarks are addressed. Let the eigenvalues of (4.5) (4.6) be denoted by An(t),
(t = (t I, t2)) and
let the corresponding eigenfunctions be denoted by ~n(X; An(t)).
It is readily
proved that the An(t) are real and form a countably infinite set with -~ as the only limit point.
They may be ordered according to multiplicity as Ao(t) e Al(t) e A2(t) e ....
(4.7)
and the corresponding eigenfunctions are orthonormal in the sense of (2.5). Notfce that since the eigenvalues %l(tl) of the given problem form a subset of the A (t) they exhibit a similar ordering to (4.7). n ~
We also have the completeness
theorem. Theorem 4.1. ) (r~a = 0, I .... , k~ - I) be the kj°-th roots J Let ~R (I -< R -< klk 2) denote the pair (trl, tr2)
For each j = 1,2 let e x p ( i ~ t r of unity where -I < tr. =
,
akz-k I = o(z-K),
in S,
z ÷ = in S,
6=0
K = 0,1,2, . . . .
(ii) Let f be defined in S with vertex z . E a (Z-Zo)-k , k-O
f~ w e mean
By
O
co
z ÷ z
in S, o
K
If -
E
a {Z-Zo)-kl. = o[(Z~-Zo)-
z -> z° in S,
k=O
K = 0,1,2, . . . . .
As is well known, asymptotic series in common sectors may be added, multiplied (Cauchy product),
(synthetically) divided.
Any function has at most one asymptotic
expansion in a given S, but different functions may have the same asymptotic expansion. If f is analytic at Zo, its Taylor series is an asymptotic expansion.
For all this
material see Knopp ~948~,
Olver
or better yet, a modern treatment, such as
This definition is good, as far as it goes•
C1974)o
However it does not cover the many
cases of interest where f has "asymptotic-like" series for which the definition fails. A simple example is furnished by the Legendre polynomials #
= (-l)n Pn(X)
2n nl
an-- [(l-xm)n],
where z is real, z = n e J+, n ÷ ~.
I will write
_, (2)
n = 0,1,2,....
dx n
Pn(C°S 8) ~ (
)½
~ ( k)( k=O
cos{(n-k 2~0 + (n - ~k - ¼)~} (2 sin 0) 0 < @ < ~,
but the "~" notation can't be that of the previous definition, since individual terms are not of the required form. In fact, an even simpler example was the one that motivated Erd~lyi's first use of an asymptotic scale.
Aitken, in a 1946 paper, studied some curious series.
They
t The definition of all traditional special functions used in this paper will be the same as in Erd~lyi [1953].
254
were called inverse central factorial series totic-like in their properties. 1 (3)
, and were both convergent and asymp~
One example he gave was
I =
t
-
(a 2
_
+
E k2 a2 k---n+~ -
-
i
~)
-
(a 2
_
I) (a 2
_
~) 9
+
3~ (v2-1)
5~ (v2-1) (~2-4)
r (~-k) £ (a+k+~) k=O
(2k+l) F (a-k+l) £ (v+k+l) 1
This series converges slowly.
(The general term is 2~-k-2(i + o(I))).
But considered
as function of the asymptotic variable n, the terms - as Aitken points out - become small, reach a minimal value, and then begin to increase again. of certain Poincar~ asymptotic expansions, see Knopp (1948).
This is a feature
Aitken showed how such
series could be used to accelerate the convergence of infinite series.
For example,
the remainder on approximating ~2/6 by n E k=O
i (k+l) 2
may be expanded in an inverse central factorial series and for large n
computed quite
accurately. In closing, Aitken says that Erd~lyi has pointed out to him (both men were at the University of Edinburgh at the time) that when a function f(t) has an expansion in t 2 k, powers of (2 sinh 7) then its Laplace transform f(z) will have an expansion (not necessarily convergent) (2k)~ P(z-k) £(z+k+l)
in the functions I= e -zt (2 sinh ~) t.2k dt. o
If z is replaced by ~, these are the functions occurring in the series (3). Gradually,
in a series of papers that started with an investigation of such series,
Erd~lyi adopted the following definitions. In what follows, let ~k' ~k' fk be sequences of functions. both sequences will be defined for Izl > R,
For a given problem
or IZ-Zol < ~ in some sector S withvertex
z . (This allows us to combine z ÷ ~ and z + z in one definition). o o ~k and ~k may depend on ~ s ~ c [ P .
t
Factorial series
see Norlund series.
ak/(Z+l)(z+2)...(z+k)
In addition,
had already been discussed by many writers
(1954) and his references - but not from the point of view of asymptotic
255
Definition: (i) {~k } dominates {~k } if ~k = 0(~k)' k = 0,1,2, .... (ii) {~k } weakly dominates {~k } if ~n = O(~k) for some n, (iii) ~k and ~k are equivalent
k = 0,1,2 .....
if each dominates the other.
(iv) #k is an asymptotic scale if ~k+l = °(~k)' k = 0,1,2,.... (v) the series
k=O
fk
is an asymptotic expansion of f with respect to the scale {~k } if ~ K f - E fk = ° ( ~ k ) ' K = 0,1,2, .... k=O We then write oo
(4)
f ~
E fk; {~k }" k=O
(The {fk } are called base functions.)
(vi) if any of the underlined words in (i) - (v) are preceded by uniformly in ~ this means the "0" or "o" signs involved held uniformly i n ~ . (vii) the series (5)
f ~
E k=O
Ck ~k ; •
J
{~k } '
is called a Polncare asymptotic series.
(Then the term on the right
is usually deleted.) For the basic properties of asymptotic sequences and expansions, (1956),
(1961), and particularly Erd~lyi and Wyman (1963).
of these definitions,
see Erd~lyi
Because of the generality
an asymptotic expansion (4) loses the uniqueness property enjoy-
ed by the Polncare expansions
(I) or (5), see Erd~lyi (1956).
A given function may
have the same asymptotic expansion with respect to different scales. tice, does not seem to be a drawback.
This, in prac-
However, despite the flexibility inherent in
the new expansions, we cannot expect them to do our thinking for us.
For some warn-
ings, see Olver (1974, p.26). The reader can now make sense of the previous examples.
The Legendre polynomial
expansion is an asymptotic expansion with respect to the s c a l e ~ - ½ - ~
(see the dis-
cussion in section 6) and the inverse central factorial series (3) is asymptotic with scale {n-l-2k}. 3. Choice of scale, an example This example shows how a change of asymptotic scale can make an intractable problem easy.
I
wish to find an asymptotic expansion for the coefficients a n in
256 co
r(l+t) =
Z (-I) n an t n, n=0
Itl < i.
I have an = b n + Cn,
I1
(-l)n n'
bn =
e -t
(£n t) n dt,
(-l)n cn = ~
I i
e -t (Zn t) n dt.
o
Expanding
e
-t . in its
Taylor series in the first integral and integrating
termwise
gives b
=
E k= 0
n
(-l)k k~(k+l)n+l
But this is also an asymptotic -
bn
K (-i) k E k=O k!(k+l) n+l
series, with scale ~k = (k+l)-n since 1
e
~
I
- o ~ K + I ) -n]
(K+2) n+l
In the integral for c , using the fact that 2t ½ n ~n t ~ - - ~ - , i < t ~ ~, shows Cn
and so a
~ n
Z
(-l)k
k=O
;
{ (k+l)
the same result obtained by Riekstins It is interesting
-n
} ,
k: (k+l) n+l (1974) from a general theory.
that the series converges
Another approach is to use Laplace's method,
an =
(-I) n n!
e-t
(but not to Cn~). see section 5, on the integral
(~n t) n dt.
O
The location of the critical point t* depends on the large parameter, of a transcendental
and is the root
equation
t* £n t* = n. Everything
can be carefully estimated,
but when all is said and done, it is hardly
possible to give more than the first one or two terms of the expansion.
257
4z Algebraic
and logarithmic
The result generalized Theorem:
scales
called Watson's
initial
(Watson's
Let ~ > 0, R e B
f ~
; Laplace
transforms
lemma is historically
and final value
theorems
the first of a large number
for the Laplace
of
transform.
lena) > -i, and k
Z k=0
t *O + .
ak t ~
Let f exist for some z. Then %
Z k=O
a k r ( ~ + B +I) k --+ B + I
,
z ~ =
in S h.
z~ The applications For example,
of Watson's
lemma are many.
For a discussion,
see Olver
(1974).
if I(z) = [ e zh(t) ~F
where g,h c ~ ( B ) ,
g(t)dt ,
F c B, then the method
of I for large z is determined
primarily
where h' (t) = O, called critical will not give conditions,
of steepest
by the values
points.
descents
supposes
that the value
of h near those points
Assume h has just one critical
which are difficult
(again,
see Olver
(1974))
= (t-t*) 2
h''(t*) 2
+ ... = -w 2 ,
h''(t*) This transformation
is at least locally
< O.
invertible,
so in a neighbourhood
t = t* + [-2/h''(t*)] ½ w + .... One would expect
the major contribution
l(z) % e zh(t*) [--2/h''(t*)]~ I~
to I to occur at w = O.
e-zw2
u(w)dw,
0o
e zh(t*) [-2/h' ' (t*)] ½
Z C2k F(k+½)z k=O
-k-I 2, Z
->
oo
where u(w) = Co+ClW+C2W2
+ .... ,
lul < 6.
in S A ,
Thus
I
but the gen-
eral idea is to make the substitution h(t) - h(t*)
in B
point,
of 0
258
In his first paper cept of an asymptotic Laplace
transform,
in the area of asymptotics scale to handle
including
(1947),
other initial
the result mysteriously
This work is sun,ned up and vastly extended
Erdelyl
introduces
and final value alluded
the con-
theorems
to in the Aitken
in his 1961 paper.
Generally
for the paper.
speaking,
+
if {#k } is an asymptotic
sequence
z ÷ ~ in SA and vice versa. then {~n } is an asymptotic paper,
Erd~lyi
states
in the earlier
paper.
ween asymptotic
as t ÷ 0 , then {$k } is an asymptotic
And if ($ k } is an asymptotic sequence as t ÷ ~ in R and vice versa.
sequence
2 theorems
showing when this is true,
Such a relationship,
expansions
of course,
sequence
as z ~ O + in R, In the latter
and correcting
induces
as
a result
a correspondence
bet-
for f and for f.
We quote two of the main results: Theorem:
(generalized
initial value
Let O < Re~ ° < Re~ I < ....
(6)
f ~
E fk ; {t k=O
Let f, fk' k = 0,1',2,...,
theorem)
and
~k-I
} , t ÷
0 +.
exist for some z.
Then (7)
~ ~
Theorem:
E fl& k=O
(generalized
; {z
-~k
} ,
final value
z ÷ ~ in some S A. theorem)
Let Re% ° > Re% I > ... > O and (8)
f ~
Z fk ; {t k=O
Let f, fk' k = O,1,2,...,
k-l}
,
t ÷ ~
in R +.
exist for each z > O.
Then (9)
f %
Z ~k ; {z k=O
-~k}
The word "some" preceding formulation Specific
each SA is a bother.
in terms of the scale { (Re z) examples f ~
(io)
, z ÷ 0 in some S A.
But Erd~lyi
k} for which
gives an alternative
(8) and (9) hold in any S A.
are:
E Ck(l-e-t)k k=O
; {tk},t ÷ 0 +
E k~Ck/Z(z+l)...(z+k); k=O (this is a factorial
series;
{z -k}
,
z -~ ~ in some S A
see the footnote
following
equation
(2))
259
(II)
i
f~
E k=O
ck(et-l)k
f~
E k=O
k:Ck/Z(z-l)...(z-k);
f ~
I k=O
t 2k ; {t 2k} , t + O + ; Ck(2 sinh 7)
~
E k=O
(2k) l Ck/(Z-k)(z-k+l)...(z+k)
(12)
• ,
{tk},
t + 0+
{z -k-1 } z +
; {z
in some SA
-2k-l~ ~, z ÷ ~
in some S A.
Next, Erd~lyi gives a general theorem, similar to (6) - (7), for asymptotic expansions with respect to the scales {(in t) Bk t ~k-l} and {(in z) ~k z -~k} . orem generalizes
This the-
a number of results given in Doetsch (1950-1956).
Many authors have discussed other generalizatio~of Olver (1974), Bleistein and Handelsman above provide much information.
Watson's lermna. The books by
(1975) and the Doetsch volumes referenced
Of special interest are two early papers by van der
Corput (1934, 1938) where integrals of the form ib e x h(t)-yt
(t-a) -% g(t)dt,
a
x-~
, y-~
,
are treated, and also a much longer survey article (1955,56) by the same author.
See
also vander Waerden (1951), and Wong and Wyman (1972). For a discussion of the numerical error involved in using Poincare type asymptotic series, Olver's book (1974) is excellent.
See also the recent paper by Pittnauer
(1973).
5. Darboux's method Let f e ~(0). (13)
It is no loss of generality here to assume f e ~(U)
Z fn tn' Itl < I. n=O An important problem is:how does f behave as n ÷ ~ ?
at least, so
f =
If f is entire the problem is
n
usually handled on an ad hoc basis by applying the method of steepest descents, or one of its variants,
to the integral I
(14)
fn
=
~
[ f (t) ~ -r t
where F c U is homotopic to C.
dt, Such an approach does not usually yield a complete
expansion, and the details may be very messy. The kind of argument used is well-illustrated p. 329) where f(t) = exp[et]. f = Pe Q, P,Q polynomials.
in an example given by Olver (1974,
P~lya (1922) gave the lead term for fn when
The case f = e Q, Q a polynomial, was more fully treated by
Moser and Wyman (1956, 1957), who give references
to earlier work.
have been given by Rubin (1967) and Harris and Schoenfeld formulasobtained
(1968).
Other examples Often the asymptotic
from (14) depend in complicated ways on the roots of transcendental
260
equations involving n and seldom is it possible to do more than derive a leading term for f • n On the other hand, when f has singularities on the circle of convergence and a function g can be found which matches the behaviour of f at these points and whose Taylor's series coefficients gn are known, then a very elegant method due to Darboux (1878) provides an asymptotic estimate of fn in terms of gn"
In practice, what / results is often a complete asymptotic description, but not one of Poincare type, for f . Since Darboux's method has not received full attention in any of the available n texts on asymptotics and is a rich source of general asymptotic expansions, I will discuss it in some detail. Let f c ~ ( U )
and put
M(f,r) = I~-~ I I~
1f( reiO) 12d0}'2,
0 < r < I.
Definition: If lira M(f,r) < o~ r÷l then we say f ~ H 2
(the Hardy class H2).
Example: Let f = h(~-t) O, ~ e C,
Re o > -I,
h E ~(U);
then f g H 2. Definition: Let f, g g ~(U) and for a fixed m = 0,1,2,..., f(m) - g(m) E H 2 . a comparison function of order m (to f). In what follows let g =
Theorem:
E n=O
gn tn"
(Darboux's method)
Let g be a comparison function of order m to f. Then (15) Proof:
(16)
fn = gn + °(n-m)' n ÷ ~. I may write
fn-g n
I 2~i(n_m+l) m
I CR
h(m)(t) dt tn+l.m ,
h = f-g, O O.
If g can be expanded in a series
co
g=
E gk tk, k=O
Itl 0 and all ~ e ~ then I ~
~ ~g~ fk ; {(~z + 2/~z)-k} , z + ~ in R +. k--O
The following
266 i
•
I have taken T = ~ in Erdelyl's result, and also assumed g independent of z. Note that the absolute convergence of the Lebesgue integral guarantees that his hypothesis (d) is satisfied, as an integration by parts of -(z-z o)(~t+t 2) I
e
it G(t)dt,
e
G(t) =
e
-z (~u+u 2) o
g(u) du
o
will show. For additional material on other such expansions, see Erd~lyi (1974). The next level of difficulty is encountered when h in the integral (21) has two movable critical points, the dimension of the parameter s p a c e ~ still being I: (24)
h(t,~) = a(~)t + b(~)t 2 + t 3,
e ~ ~.
Under suitable conditions l(z) may be expressed as a sum of two asymptotic series with scales
2 Ai(cz ~) 2k
2
'
Z
Ai'(cz ~) 2k Z
respectively, where c depends on ~ and Ai, Ai' are Airy functions. They may be i expressed in terms of modified Bessel functions of the second kind, order ~ and 2 order 7' respectively, see Olver (1974, p.392 ff.) An analysis of integrals which can be reduced to this form by a change of variable constitutes the famous method of Chester, Friedman and Ursell (1957), (CFU). exposition of this method, see the survey by Jones (1972) orOlver (1974).
For an
Olver~ in
a series of papers that are now considered classics (1954a, 1954b, 1956, 1958) encountered their same functions in determining asymptotic expansions for the solutions of sound order linear differential equations with large parameter in the neighbourhood of a turning point.
For those functions to which it applies, Olver's
theory has the advantage that z may approach ~ in sectors S A other than R.
The CFU
theory establishes a nice relationship between the asymptotic expansion of integrals and the asymptotic expansion of the solutions of differential equations. Determining the precise s-region of uniformity of the CFU expansions, and finding conditions guaranteeing that an integral may be transformed into one which can be handled by the CFU technique are very difficult problems, and Ursell devoted two subsequent papers to these investigations (1965, 1970).
At least the base functions
in the expansion, the Airy functions (25) are well understood and can be easily calculated on modern computers. If one wants to analyze the integral
(25)
l(z) = Ipe-ZH(w'~ ) G(w,~)dw
267
where H is to be transformed into the general polynomial h(t,~) = ~i t + ~2 t2 + ... + ~ tp + tp+I, p then one will have to live with incomplete results;
~ = (~i,~2 .... ,~p
),
justifying the reduction of
(25) to the representative integral f=
Jo e-Zh(t'~)
g(t,~)dt
involves difficult-to-verify hypotheses, and some of the work is only formal. who have treated this problem are Bleistein (1966, 1967) and Ursell (1972). case the base functions are called generalized Airy functions.
Authors In this
They satisfy a
differential equation of order p+l (see Bleisten (1967)), possess an asymptotic expansion in z (Levey and Felsen (1969)) and the techniques Wimp uses on similar integrals (1969) will work to show the functions satisfy a(p+2) term recursion relationship to which the Miller algorithm can be applied to compute the functions.
The real
problem, though, is not the analyzing the properties of the base functions, but justifying the transformation of the given integral to representative form. Obviously, precise information about the asymptotic expansion of the very general integral l(z) = IrH(z,t,g)dt
is even more fragmentary. special results available.
For integrals such as these, there are a large number of Often it is assumed that z is real, and F = ~ 0 , ~ , and
often the integral is analyzed by transform methods.
Over the last decade an
enormous number of relevant articles by E. Riekstins and other authors have appeared in the somewhat obscure publication Latvian Mathematical Yearbook. book
See also the
(1974) by Riekstins, the book by Bleistein and Handelsman (1975) and papers by
the authors Handelsman, Lew and Bleistein (1969, 1971, 1972, 1973).
It is my
personal feeling that a unified treatment of such integrals will involve a large number of complex and all but unverifiable hypotheses on the function H.
Perhaps
the whole of asymptotic analysis of integrals (the same could be said of differential equations and difference equations) has reached the point of diminishing returns. The physicist waves his hands and obtains an asymptotic expression which he uses with confidence because he "knows" it must be ture.
For difficult problems the mathemat-
ician has no way of codifying the physicist's intuition.
Perhaps for those problems -
say, integrals with coalescing multiple critical points and singularities - we are couching the answer in the wrong terms, and it is tempting to hope that there might exist a choice of base functions - such as in the example in section make the impossible easy.
3 - that would
268
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