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Lecture Notes in Mathematics Edited by A. Dold and B. Eckmann Series: Australian National University, Canberra Adviser: M. F. Newman
629 W. A. Coppel
Dichotomies in Stability Theory
Springer-Verlag Berlin Heidelberg New York 1978
Author W. A. C o p p e l Department of Mathematics Institute of A d v a n c e d Studies Australian National University Canberra, ACT, 2 6 0 0 / A u s t r a l i a
AMS Subject Classifications (1970): 34 D05, 58 F15 ISBN 3-540-08536-X ISBN 0-387-08536-X
Springer-Verlag Berlin Heidelberg NewYork 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 1978 Printed in Germany Printing and binding: Beltz Offsetdruck, Hemsbach/Bergstr. 2140/3140-543210
PREFACE
Several years ago I formed the view that dichotomies, characteristic autonomous
exponents,
differential
are the key to questions
equations.
rather than Lyapunov's
of asymptotic behaviour
for non-
I still hold that view, in spite of the fact that
since then there have appeared many more papers and a book on characteristic exponents.
On the other hand, there has recently been an important new development
in the theory of dichotomies. accessible
Thus it seemed to me an appropriate
account of this attractive
The present lecture notes are the basis Florence
in May, 1977.
for a course given at the University
I am grateful to Professor R. Conti for the invitation
visit there and for providing the incentive to put my thoughts grateful to Mrs Helen Daish and Mrs Linda Southwell typing the manuscript.
time to give an
theory.
in order.
for cheerfully
of
to
I am also
and carefully
CONTENTS
Lecture I .
STABILITY
Lecture 2.
EXPONENTIAL
AND
ORDINARY
Lecture 3.
DICHOTOMIES
AND
FUNCTIONAL
Lecture 4.
ROUGHNESS
Lecture 5.
DICHOTOMIES
Lecture 6.
CRITERIA
Lecture 7.
DICHOTOMIES
Lecture 8.
EQUATIONS
Lecture 9.
DICHOTOMIES
Appendix
THE METHOD
................................................
DICHOTOMIES
ANALYSIS
.....................
i0
......................
20 28
................................................
AND
REDUCIBILITY
FOR AN EXPONENTIAL
AND
ON
LYAPUNOV
R
....................
47
.......................
59
DICHOTOMY
FUNCTIONS
AND ALMOST
PERIODIC
...........
67
..................
74
EQUATIONS
AND THE HULL OF AN EQUATION
OF PERRON
38
.............................
87
.....................................
Notes
92
References
95
Subject Index
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
98
I.
STABILITY
A dichotomy, exponential or ordinary,
is a type o f c o n d i t i o n a l stability.
Let us
begin, then, b y r e c a l l i n g some facts about u n c o n d i t i o n a l stability. The c l a s s i c a l definitions o f s t a b i l i t y and a s y m p t o t i c stability, due to Lyapunov, are w e l l s u i t e d for the study of autonomous d i f f e r e n t i a l equations.
For non-
autonomous equations, however, the concepts o f u n i f o r m s t a b i l i t y and u n i f o r m a s y m p t o t i c s t a b i l i t y are more appropriate. Let
x(t)
be a solution o f the vector d i f f e r e n t i a l equation x ~ = f(t, x)
w h i c h is d e f i n e d on the h a l f - l i n e
uniformly stable any s o l u t i o n s ~ 0
if for each
x(t)
0 ~ t < ~
e > 0
The s o l u t i o n
and for each for some
s ~ 0
then
a corresponding
6 = 6(e) > 0
for all
for all
such that if
such that for some t ~ s .
if in addition there is a
T = T(e) > 0
Ix(t) - x(t) I < ~
is said to be
Ix(s) - x(s) I < 6
Ix(t) - k(t) I < ~
uniformly asymptotically stable
e > 0
x(t)
there is a c o r r e s p o n d i n g
o f (i) w h i c h satisfies the i n e q u a l i t y
is d e f i n e d and satisfies the i n e q u a l i t y
It is s a i d to be
(i)
60 > 0
Ix(s) - x(s) I < 6 0
t ~ s + T .
We w i l l be i n t e r e s t e d in the a p p l i c a t i o n of these notions to the linear differential equation x ~
where
A(t)
is a continuous
f u n d a m e n t a l m a t r i x for (2). x = 0
n x n
=
A(t)x
,
m a t r i x function for
(2)
0 ~ t < ~
Let
X(t)
be a
It may be shown w i t h o u t d i f f i c u l t y that the solution
o f (2) is u n i f o r m l y stable if and only if there exists a constant
K > 0
such
that Ix(t)x-l(s)i
~ K
for
0 ~ s ~ t
0
such that
K > 0 ,
''IX(t)x-l(s)I ~ Ke -~(t-s)
for
0 ~ s ~ t
0
then, for all
t ~ 0
~
for all
C
.
,
/~e-~(t-S)y(s)ds
< (I - e-~)-ic
,
<e
Z
.
-~(s-t)y(s)ds
Proof.
t ~ 0
(1
-
e-a)-lc
From
ft-m -a(t-s)y(s)ds t_m_l e
~
e-atea(t-m) C
=
e-amc
we obtain
:t e -~(t-s) yts)ds . JO ~ ~
e-~mc = (i - e-~)-ic
.
m=O
The second inequality
is proved similarly.
Suppose next that (i) has an ordinary dichotomy on = 0 .
Then for any locally integrable
corresponding
inhomogeneous
equation
function
f(t)
[+ .
Thus (3) holds with
with
~oIf(t)Idt
(2) has a bounded solution,
< ~
the
defined by the same
formula (4). We intend to establish
converses to these results.
space of all bounded continuous
vector functions IIfllc = sup t~o
Let which
M
C
denote the Banach
If(t) I .
denote the Banach space of all locally integrable ft+!If(s)Ids ~t
Let
f , with the norm
vector functions
f
for
is bounded, with the norm
IlfllM : supft+llf(s ) I d s . tz0 ~ (The same space intervals Finally,
M , with an equivalent norm, would have been obtained if instead of
of length let
L
1
we had used intervals
of any fixed length
denote the Banach space of all vector functions
Lebesgue integrable
on
~+
, with the norm
IIfllL = ~oIf(t)Idt Then we will prove
•
h > 0 ) . f
which are
22
PROP05ITION 1.
The inhomogeneous equation (2) has at least one bounded solution for
every function
f E L
if and only if the homogeneous equation (i) has an ordinary
dichotomy. PROPOSITION 2.
The inhomogeneous equation (2) has at least one bounded solution for
every function
f E M
if and only if the homogeneous equation (1) has an exponential
dichotomy.
PROPOSITION 3.
Suppose (i) has bounded growth.
Then the inhomogeneous equation (2)
has at least one bounded solution for every function
f ~ C
if and only if the
homogeneous equation (i) has an exponential dichotomy. Let of
V
V
be the underlying
consisting
vector space
of the initial
be any fixed subspace
of
V
values
or
~n)
of all bounded
supplementary
to
V1
solutions
Also let
of (i), and let
P
denote
Suppose the equation (2) has a bounded solution for every function
solution
y(t)
r B = rB(P)
of (2)
with
E V2
y(O)
Then there exists
f E B , the unique bounded
such that, for every
> 0
is
L , M , C .
denotes any one of the Banach spaces
V2
the project-
PROPOSITION 4.
B
The basic result
be the subspaee
VI
f E B , where
V2 .
VI .
, let
ion with range
a least constant
and nullspace
(~n
satisfies
Hyllc -< rBllfllB • Proof. equation the map fn + f
It follows
from the super~osition
(2) does have a unique bounded : : f ÷ y in
8
and
is linear. Yn = Yf
n
principle solution
We will show that
+ y
in
y(O)
C .
that,
y(t) :
f E 8 , the
for every
with
y(O)
E V2 .
has a closed graph.
Then
= lim Yn(O)
6 V2
n~¢o and, for any fixed
t ,
So.(S>ds: lim Sh<s>ds. n->oo Hence y(t) - y(O) = lim SoYn(S)ds n-~m = lira /~{A(s)Yn(S) n-~O
+ fn(s)}ds
Moreover Suppose
23
.tJo{A(s)y(s) + f(s)}ds . Thus
y(t)
y = If
is a solution of the equation
(2)°
Therefore,
since it is bounded,
.
It now follows continuous.
from the Closed Graph Theorem that the linear map
This proves the existence
of some constant
T
is
r B > 0 , and the existence o f
a least one can be deduced immediately. Put "IX(t)Px-l(s)
for
0 ~ s < t ,
[-X(t)(l
for
0 ~ t < s .
G(t, s)
Then If
G f
is continuous is a function
- P)X-I(s)
except on the line
in
B
s = t , where
which vanishes
for
t > tI
it has a jump discontinuity. then - - cf.
(4) - -
tI y(t) = /0 G(t, u)f(u)du is a solution o f (2).
Moreover it is bounded,
since
t y(t) = X ( t ) P f o I X - l ( u ) f ( u ) d u
for
t e tI ,
and t y(O) -- -(I - P ) f 0 Z x - l ( u ) f ( u ) d u Therefore,
b y Proposition
~ V2 .
4, llyllC ~ rBIlfl]B •
We can now complete and let
f
the p r o o f of Proposition
be the function
L0 s ~ 0
and
h > 0 .
Then
ly(t)l Dividing by
h
and letting
Let
be any constant vector
defined by
f(t) = I ~
where
i.
for
s _< t < s + h ,
otherwise,
f ~ [
= I~+hG(t,
and
IIfllL = hiE[.
u)~dul ~ rLhl~l •
h + 0 , we obtain
for any
IG(t, s)~l ~ rLl~l
t ~ s
Therefore
24
Hence,
since
~
is arbitrary,
IG(t, s)r ~ r L Thus
(S) holds with
the excepted
case
r = rC .
and
~ = 0 .
By continuity,
(3) remains valid also in
s = t .
The deduction that the equation
K = rL
of Propositions
2 and 3 is not quite so immediate.
(2) has a b o u n d e d solution
for every function
We suppose now
f ( C
and put
Take f(t) = ~(t)×(t)/Ix(t) I
where ~(t)
x(t) = X(t)~
t ~ 0 , of
is any nontrivial
is any continuous
¢
~(t) = 0
for
real-valued t ~ tI .
solution
function
of the homogeneous
such that
IIfllC < i
Then
equation
0 ~ ~(t) ~ i
(i) and
for all
and hence, by the arbitrary nature
_
,
tI Ift0G(t , u)x(u)Ix(u)I-idu;'''
Putting
t I = t , resp.
J r
for
0 ~ tO ~ tI
and
t ~ 0 .
t O = t , we obtain
IX(t)P~II~
IX(u)~l-ldu ! r
for
t ~ tO ~ 0 ,
0
(5) t Ix(t)(l - P ) ~ I f t l l x ( u ) ~ l - l d u Replacing
~
by
P~
, resp.
(I - P)~
~ r
for
t ~ tI ! =
, it follows by integration
I s IX(u)P
s
,
_< Le - ~ ( s - t )
for
s
>_ t
,
46
where
K , L
are positive
constants
independent
~
of
I~o~ ~1.
~
and
6.
CRITERIA FOR AN EXPONENTIAL DICHOTOMY
Proposition 1.5, with asymptotic stability.
We intend to derive an analogous sufficient condition for an
exponential dichotomy.
LEMMA I. n
x
n
a < 0 , gives a sufficient condition for uniform
We first establish some preliminary results.
There exists a numerical c o n s t a n t
matrix
k
n
> 0
A ,
IA-II ~ knIAIn-i/Idet
Proof.
such that, for every n o n - s i n g u l a r
AI .
Let
det(II - A) = I n - alln-i + ... + (-l)nan
: (I - I l)
...
(I - I n )
.
Since a I : Zj lj , a 2 : j 0 , then any m a t r i x
IB - AI ! h n E ( g / I A [ ) where
o < e < ~ , has
k
eigenvalues
eigenvalues with real part
Proof.
If
IR~f
< ~ -
I~I
>
21AI
and
B
n-1
if
n - k
A
is an
n x n
eigenvalues
with
satisfying
,
with real p a r t
-< -a + g
and
n
- k
>- ~ - e.
and
E
Ixl ~ 21AI
I(A - kI)-lI if
such that,
then,
b y Lemma 1,
< kn(31AI)n-~e
n
then
I(A -
XI)-ll
= I%l-il(l
- %-iA)-I 1
< (21AI)-I(I
+ 2-I
+ 2 -2 + . . , )
= IA1-1 < kn(31AI)n-/s since
g < ~ ~
IAI
and
k
~ i .
n
It f o l l o w s
n ,
that
if
IB - A 1 ~ g Y k n ( 3 1 A I ) then
B - hi
is i n v e r t i b l e
I(B Thus
aii eigenvalues
B(8)
= 0B + (i - 8 ) A
-
l I )
of
for
(A
-
B
Since
the eigenvalues B
LEMMA 3.
have
the same
have
of
I :
real
- n I !
B(0)
number
part
are
IB - A I
for
continuous
-
kz)-l[-I
or
~ ~ - E .
If
n > i
0 ~ @ ~ i .
functions
in t h e
constant
e
n
>
~ -a
, since
the result
n-I
of
8
it f o l l o w s
that
left half-plane.
such that,
0
or
for the left half-plane
IPI ! c ( a - l l A I ) n We a s s u m e
< I(A
~ -~ + g
all have real p a r t
is its spectral p r o j e c t i o n
Proof.
, since
IB - AI
of eigenvaiues
~here exists a'numerical
m a t r i x w h o s e eigenvalues P
lI)
-
< ~ - g
then IB(e)
and
IR%I
n-I
if
A
~ ~ , for some
is an
for
n = i .
x n
~ > 0 , and if
then
.
is t r i v i a l
n
We h a v e
49
p = 2~]y(z!where
y
A)-Idz ,
is any rectifiable simple closed curve in the left half-plane which contains
in its interior all eigenvalues of Y : YI U Y2 ' where
YI
A
with negative real part.
is the left half of the circle
segment of the imaginary axis.
On
YI
J(zl - A)-IL
We will take
Izl : 21A I and
Y2
is a
we have : IzI-~l(I
- z-iA)-ll
_< 2-iIA{-l(i + 2 -i + 2 -2 + ...) = IAl-i
.
There fore I/yl(z~ - A)-idzt
~ ~ . 21Ai.
IAt -1 : 2~ .
On the other hand, by Lemma i, l(zl - A)-i{ ! knlZl - Aln-i/Idet(zl - A) I
= knlZl
where
kl, ..., kn
- AI n-
are the eigenvalues of
•//!11~jl z -
A .
,
Therefore n
Ify2(Zl - A)-idzl ! kn(31Al)n-lff~
~
{iy - ljl-idy .
j=l
But
fly - k j l t
~
and, by Schwarz's inequality, 2
ff~ [ fly _ ljl-ldy _< ff ( 2 + y2)-idy : - i j=l
.
Hence i/y2(Z I _ A)-idzl < ~kn(3-iiAi)n-i Thus for the projection
P
.
we obtain finally Jml ! i + ½
3n-ik (~-llAl)n-i . n
Since
~ < IAI , this inequality can be written in the required form. Suppose now that
A(t)
is a continuously differentiabie matrix function
satisfying the conditions of Lemma 3 for every the formula
t
in some interval
J .
Then from
50
P'(t) = 2 ~ / y [ z I
- A(t)]-IA'(t)[zI
- A(t)]-idz
we obtain in the same w a y
IP'(t)l where
d
n
> 0
~ dn(a-llA(t)I)2n-llA'(t)l/IA(t)l
is a n u m e r i c a l constant.
We are now ready for our main result.
PROPOSITION I . interval
(i)
J
Let
has
A(t)
IA(t)l - 6 > o
for all
for all
< -a < 0
and
n - k
eigenvalues
t ( J ,
t E J . e < min(a
there exists a positive constant
, 8)
such that, if
IA(t 2) - A ( t l ) I _< 6 h > 0
matrix function defined on an
eigenvalues with real part
For any positive constant 6 = ~(M , ~ + 8 , e)
where
n x n
such that
with real part (ii)
be a continuous
A(t)
for
It 2 - tzl _< h
,
is a fixed number not greater than the length of
J
,
then the equation
x' = A ( t ) x
has a fundamental matrix
X(t)
satisfying
Ix(t)#x-Z(s)l
(i)
the inequalities
_< Ke - ( C ~ - e ) ( t - s )
for
t~s,
T] ~ 120K4e -(Y-g/6)h l(I - ~)T-II If
h > 0
A(u)
is so large that
has
k
eigenvalues
P .
- a + e
and
n - k
eigenvalues
8 - e . A(t)
(i) has an exponential
arbitrary projection
then it follows from Lemma 4 that
with real part less than
It is evident that if the matrix then the equation
,
A 120K4e -(Y-e/6)h
120K 4 < 2-½e 5Eh/6
with real part greater than
, we have
is continuous
dichotomy on
J
on a compact interval corresponding
Thus the concept of exponential
interval might appear to be without if the interval is sufficiently dichotomy and the coefficient
interest.
J
to an
dichotomy on a compact
Nevertheless,
Proposition
long relative to the constants
matrix is slowly varying then
2 shows that
of the exponential
k , and hence
P , is
uniquely determined. Finally we give another simple sufficient
PROPOSITION
3.
Let
on the half-line
~+
condition
A(t) = (a..(t)) be a bounded, 13 and suppose
for an exponential
continuous
there exists a constant
n x n
6 > 0
dichotomy.
matrix function
such that
n IRaii(t) I > ~ +j~llaij(t)l
(7)
j#1 for all
t E ~+
then the equation
where
K
and
i = i .....
n .
If
Raii(t) < 0
(i) has a funda~nental matrix
X(t)
for exactly satisfying
IX(t)PX-I(s)I
-< Ke -s(t-s)
for
t > s ,
IX(t)(l - P)X-I(s)I
< Ke -6(s-t)
for
s > t ,
is a positive
constant
and
k
subscripts
the inequalities
i
56
[iiI Proof.
We use the norm
l~r : su%1 0
ii
for
without
i > k .
ii
For any nontrivial solution
x(t)
of (i) we have
½ d/dtlxi 12 : Rx.x.'1 l
= Raiilxi 12 + Rj#i I a..x.x. l] I ] and hence Ixilj~ilaijIlxjl ~ ½ d/dtlxi 12 - Raiilxi 12
If
Ix(s)l : Ixi(s) I
for some
s ( ~+
it follows that
- ~ laij(s)l ~ ½1xi(s)I-2d/dtlxil2(s)
- Rail(S)
j#i
~ fa..(s)J j#i Therefore, by (7), It follows that
d/dtlxil2(s) Ix(t)I
±] is negative if
and positive if
i > k .
does not have a local maximum in the interior of
For suppose a local maximum occurred at ;xi(t)I 2
i ~ k
t = s , say, with
would also have a local maximum at
Ix(s)l = Ixi(s) I .
t = s
and hence
for some
i > k
+ Then
d/dtlxiI2(s) = 0 ,
contrary to what has just been proved. We show next that if
Ix(s); = Ixi(s) I
and some
s ( ~+
then
57
Ix(t)[
is strictly
sufficiently [X(tl) I ~
increasing for
small
h > 0 , and hence
Ix(t2) I ~ where
on the interval
t h s .
In f a c t
Ix(s)l
< Ix(s+h)l
s ~ t I < t 2 , then
[s~ t 2]
at an interior
Ixi(s) I < lxi(s+h) I
Ix(t)l
point,
.
for all
If we had
would assume
its maximum
value
and we have seen that this is
impossible. If
Ix(s) I : Ixi(s) I
ly small
h > 0 .
Then for small
for
For let
i > k
no
[
denote
then
Ix(s+h)I
the set of all
i
< Ix(s)I such that
for all sufficientIx(s)I
= Ixi(s) I •
h > 0
lxi(s+h)
lxi(s)t
L
k
increasing
U m = x-l(sm)V1
of the unit sphere
and vectors
there exists
k-dlmensional
decreasing
i > k , and let
vector space
the compactness
a
i : i(h) ( I .
for no
and strictly
be the k-dimensional
for every
(i) such that
m~ + ~
VI
: Ixi(s) I
paragraph,
t ~ c
We now show that there exists that
for some
.
independent.
By
58
then
x m (t) + x(t) ~)
Xm(O ) ( Um
as
~ + ~
Therefore
definition of
V1 .
increasing on
IXm(t) I
Thus
IXmv(tl) j > [Xmv(t2) I ~{+ .
for every
if
tl,
and henee
t ( ~{+
We have
Xm(S m) ( VI , since
is strictly decreasing for t 2 E IR+
Ix(tl)
and
t 1 < t 2
I >-Ix(t2)
I .
It is actually decreasing on
t < Sm " by the
then,
Thus
for
all
Ix(t)l
~{+ , since if
large
v
is nonIx(t)l
were
constant over a subinterval it would have a local maximum in the interior of There exists also an Ix(t)l vectors x(t)
(n - k)-dimensional
is strictly increasing on ~ = (~i)
with If
s ( R+ ,
such that
x(0) 6 V 2
x(t)
~+
~i = 0
for every
V2
x(t)
[R+ such that
is the subspace of all
i ~ k , the nontrivial solutions
have this property.
is a solution such that
Ix(s)l
subspace of Solutions
In fact, if
,
= Ixi(s) 1 for some
Ix(t)I
i > k .
increases on
Since
~+
d/dtlxil2(s)
then, for every
> 261xi(s)l 2 , by
(7), it follows that lim h--~0 I Ix(s+h)12 _
Ix(s)l
I/h
lim ~I xi(s+h)l >-h--~7+O
2
-I×i(s)l
h
I/
261x(s)J 2 Integrating this differential inequality for the continuous
function
''Ix(t)l2 , we
get Ix(t)l ~ {x(s)le 6(t-s) A similar argument shows that if ~+
x(t)
for
t ~ s .
is a solution such that
Ix(t)l
decreases on
then
Ix(t)l ~ Ix(s)le -6(t-s)
for
t ~ S .
Since the equation (i) has bounded growth, the result now follows immediately. Proposition line
~+
3 remains valid, with only minor changes in the proof, if the half-
is replaced by the whole line
~ .
7.
L y a p u n o v functions
DICHOTOMIES AND LYAPUNOV FUNCTIONS
are a standard tool in stability
will consider their relationship with linear differential
with dichotomies.
equations
theory.
In this lecture we
Since we will be concerned only
it is natural to restrict attention
to quadratic
Lyapunov functions. Let xmH(t)x
A(t)
be a continuous
, where
function,
H(t)
matrix function
for
t ~ 0 .
is a b o u n d e d and continuously
will be a L y a p u n o v function
The Hermitian
differentiable
for the linear differential
form
Hermitian
matrix
equation
x' = A(t)x if its time-derivative exists a constant
along solutions
q > 0
norm.
x(t)
By replacing
solution
x(t)
H(t)
of (i) is negative
+ H(t)A(t)
of (i). by
is arbitrary,
+ A*(t)H(t)]x(t)
n-iH(t)
we can assume condition
+ A*(t)H(t)
~ -I
We are going to show that this is almost equivalent
I.
i.e.,
if there
~ -nlx(t)l 2
Here, and in what follows, we use the Euclidean
the p r e c e d i n g
Hr(t) + H(t)A(t)
PROPOSITION
definite,
such that
x*(t)[HF(t) for all solutions
(i)
q = i .
Then, since the
is equivalent for
to
t ~ 0 .
(2)
to an exponential
If the equation (l) has an exponential dichotomy on
dichotomy.
~+ , then there
exists a bounded, continuously differentiable Hermitian matrix function
H(t)
which
satisfies (2). Proof.
Let
hypothesis
X(t)
be the fundamental
there exists a projection
matrix for (l) such that P
and positive
constants
IX(t)PX-I(s)I
_< Ke -~(t-s)
for
t >- s -> 0 ,
IX(t)(l - P)X-I(s)I
_< Ke -a(s-t)
for
s _> t >- 0 .
X(0) = I . K , c~
By
such that
60
For convenience of writing put
Xl(t , s) = X(t)PX-I(s) X2(t , s) = X(t)(I and let
H(t)
,
- P)X-I(s)
be the matrix function defined by
½H(t) = J~tXl*(S,
t)Xl(S , t)ds
- X2*(O, t ) X 2 ( O , - f~X2*(s,
Then
H(t)
,
t)
t ) X 2 ( s , t)ds .
is Hermitian and .2rt -2e(t-s ½1H(t)I S K2~te-2e(s-t)ds + K2e -2~t + ~ ]0 e )ds
K2(I + - I ) Moreover
H(t)
.
is continuously differentiable and H'(t) = -H(t)A(t) - A*(t)H(t) - 2Xl*(t, t)Xl(t, t) - 2X2*(t, t)X2(t, t) .
But
Xl(t, t) = X(t)PX-I(t)
is a projection and
only remains to show that if
Q
X2(t , t) = I - Xl(t, t) .
Thus it
is a projection then
R = Q*Q + (I - Q*)(I - Q) h ½1 . Any vector
~
is in the range and
can be uniquely represented in the form ~2
in the nullspace of
Q .
{ = [i + $2 ' where
Then
~2*R~I = 0 . Hence
~*R( = ( 1 " ( 1
+ ~2'(2
~ ½(*(
.
This completes the proof. It may be noted that if
A(t)
is bounded then
Proposition 1 admits the following converse:
H'(t)
is also bounded.
~i
61
PROPOSITION 2.
Suppose (1) has bounded growth.
If there exists a bounded,
continuously differentiable Hermitian matrix function the equation (i) has an exponential dichotomy on ~+
Proof.
By hypothesis
there exists a constant
IH(t)l and a constant
C ~ 1
(The interval
length Assume
p > 0
for
ep
~ Clx(s)J
for
such that
t ~ 0
such that every solution
Ix(t)j
dichotomy).
~ p
x(t)
of (i) satisfies
0 ~ s ~ t ~ s + ep
is chosen to give a good exponent
Ix(O)I
= 1
which satisfies (2), then
H(t)
.
in the exponential
and put V(t) : x*(t)H(t)x(t)
.
Then V'(t) = x*(t)[H'(t) _~
+ H(t)A(t)
+ A*(t)H(t)]x(t)
-Ix(t)l 2
< 0 . Thus
V(t)
is a strictly
Suppose
first that
decreasing V(t) ~_ 0
function.
for all glx(u)
since for any
t _~ 0 .
Then
12du
0
-p : -~Ix(0)l 2 _< -v(0) _~ v(t) - v(0)
_< -/~lx(u) 12du
.
It follows that iimlx(t) I = 0
Let
t
m
be the least value such that
and, by the same argument
Ix(tm) I = e -m/2
.
Then
0 = tO < tI
T .
exists
V(t, ~v)
< ~
Then
and
and
value
b e the s u b s p a c e
o f (I), a n d let ~ ~ V 2 , let
V2
Ix(t • ~)I N ~ 1
be a n y
b e the
t~+ ~ v
.
T
that
t'
and
number
~
~ .
Then
v >_ v'
V(t',
, which
s u c h that
Since ~)
V(T, ~) ~ -p ~ ~ V2
Ix ( T , ~)I ~ N l x ( t ~
tm
tO S T •
such that Suppose
= x(t, ~)
.
IX(tm) I = e m/2
t ~ T .
If
Since .
~)I
Ix(t)I + ~
Then
t m _< t < tm+ I
1
there exists
0 ~ t ~ T . solution
of
fixed subspace
= x(t, $)
In fact, o t h e r w i s e
t _> t'
a positive
x(t)
we m a y s u p p o s e
~) < ~ for
V2
consisting
We w i l l s h o w t h a t
t + ~
in
V(t',
again a particular a greatest
VI
and a sequence
w e can c h o o s e
~ 6 V2
let
t = 0 . as
we have
~ 6 V2 .
Moreover,
0 ~ t o < t I < ...
$
Ix(t)l + ~
, ~ ) Z ~ for a l l
Thus t h e r e e x i s t s
unit vector Consider
there
t + ~
unit vector
at
o f the u n i t s p h e r e
, and hence
contradiction. every
solutions
For any unit vector
t a k e s the v a l u e
< 0 .
implies
vector space,
values of all bounded
= V(t, $) + - ~
sequence
t + ~
b e the u n d e r l y i n g
supplementary solution
as
~ p-lv(t*)
then
for and for
63
-PJX(tm+l)J 2 _< V(tm+ I)
V(tm+ I) - V(t) /tm+lj -~t
'x(u)J2du
-(tm+ I - t)JX(tm)I 2
JX(tm+l)J 2 = eJX(tm) J2
Since
tm+ 1 - T S ep
if
it follows
that
tm+ I
t m -
T
and
In either case
tm < T .
Jx(t)J S CNIX(tm) j . Suppose
T ~ t ~ s < ~
If
t m -< t < tin+I
and
s < tn+l(O ~ m Z n)
tn
Jx(t)J ~ CNJx(tm) j = e½CNe -(n+l-m)/2
, then
X(tn)]
e½CNe-(n+l-m)/21x(s)J e½CNe-~(s-t)Jx(s)J where
e = (2ep) -I
an exponential
as before.
dichotomy
Since
(i) has bounded
on the subinterval
IT, ~)
,
growth,
it follows
that it has
, and hence also on the half-line
+ We show next, by an example, omitted
in Proposition
function for
such that
t ÷ ~ , and
explicitly.
2.
Let
~(t) ~ 1 ~(n)/~(n
that the hypothesis
#(t) for all
t ~ 0 ,
- 2 -n) ~ ~
The differential
~0{~2(t)
x(t) = x(0)e-t#(t)
uniformly
On the other hand,
- l}dt < = ,
is continuously h'(t)
Moreover
h(t)
is bounded,
#(t)
= o(e t)
can easily be constructed
- l]x
and hence
is asymptotically
if we set
h(t) = { e 2 t / ~ 2 ( t ) } < e - 2 S ~ 2 ( s ) d s h(t)
cannot be
differentiable
equation
has the solutions
then
growth
continuously
Such a function
x' : [~'(t)/~(t)
stable.
of bounded
be a real-valued
differentiable
and
+ 2{~'(t)/~(t)
-
since
1}h(t)
= -1
.
stable,
but not
64
0 Z h(t) = {e2/~2(t)}]te-2Sds~/~
+ {e2t/~2(t)}<e-2S{%2(s)
- l}ds
9 + ~0{%2(s) - l}ds . The p r e c e d i n g results equations.
can he made more precise
in the special case of autonomous
Thus we now consider the equation x ~ : Ax ,
where
A
is a constant matrix.
can also be chosen constant.
We show first that the matrix
The argument
differs only slightly
H(t)
o f Proposition i
from the previous
one.
PROPO$1IION 3.
If the matrix
a Hermitian matrix
H
A
has no pure imaginary eigenvalues, then there exists
such that HA + A*H ~ -I .
PrOOf.
Let
half-planes
P+
and
P_
respectively.
he the spectral projections
of
A
for the right and left
Then
-J~oe-tA*p+Sp+e-tAdt
y = is defined and
YA + A*Y = ~ 0 d
, -tA )dt (e -tA* P+~:P+e
= -p *p + + Similarly Z = ~0etAep_*P
etAdt
is d e f i n e d and ZA + A*Z : -P *P The m a t r i x
H = 2Y + 2Z
is Hermitian and HA + A*H = -2P + +*P
Proposition ~nt
that the t i ~
matrix
2 can be s h a ~ e n e d ~rivative
C , the ordered pair
~r
autonomous
o f the ~ a p u n o v (A, C)
- 2P *P
~ -I . equations
by relaxing the require-
function be negative
is said to be controlZ~le
~*Akc = 0
for all
k ~ 0
if
de~nite.
For any
65
implies that the vector k
such that
~ : 0 .
By the Cayley-Hamilton
theorem we need only consider
0 ~ k < n .
PROPOSITION 4.
Suppose there exists a Hermitian matrix
H
such that
HA + A*H = -C ,
where
C = Cm ~ 0 . Then
singular if and only if
A
(3)
has no pure imaginary eigenvalues and is controllable.
(A*, C)
positive (negative) eigenvalues of
H
H
is non-
In this case the number of
is equal to the number of eigenvalues of
A
with negative (positive) real part. Proof.
Suppose
corresponding
first that
eigenvector
A
has a pure imaginary eigenvalue
< .
Then, by
-~*C~ : i ~ * H ~ Since
C ~ 0 , this implies
that
cAk IAI
for
P+
y
be the simple
Then the spectral projections
A , for the right and left half-planes,
Here the expression
Let
o f a segment of the imaginary axis and
P_ = 2~Tfy(Zl
- A)-idz
,
P+ = 2~T/x(zl
+ A)-Idz
.
are give D by
has been obtained b y the change o f variable
z + -z
from the more usual expression b y a contour integral over the curve symmetric to
Y
If we set G = H - P *H - HP then G = 2~fy{(zI
= 2~TI7(zl
On the circle
Izl = r
+ A*)-IH - H(zl - A)-l}dz
+A*)-IC(zl
the integrand
G : -T~JA
is
_ A)-Idz
O(r -2)
- i~If~-lc(A
.
.
Thus, letting
- i~I)-ld~
.
r -~ co we obtain
.
68
Consequently real
~
G ~ 0 .
, and hence
and only if
Moreover
if and only if
(A m, C)
For any vector
On the other hand,
In general,
if
G~ : 0
if and only if
cAk< = 0
for all
C(A - i~I)-l~ = 0 k h 0 .
Therefore
for all G
i
in
B(~)
in
B(~+)
.
.
and y(t)
is a solution of the c o r r e s p o n d i n g
= f~(u)du
equation
x(t)
(i).
Since
L,(u)du: fl*U)du: ½, we have y(t) : ½x(t) By hypothesis
are solutions respectively.
the equation
for
t ~ i , y(t) = -½x(t)
(I) has a solution
9(t)
z+(t)
: 9(t)
- y(t)
+ %x(t)
,
z (t)
= ~(t)
- y(t)
- ½x(t)
,
of the homogeneous Moreover,
for
since
equation y(0)
t ~ -I .
which is bounded on
(2) which are b o u n d e d on
= 0 ,
z+(o)
: ~(o)
+ ½x(O)
,
z (o)
: ~(o)
- ~(o)
.
.
[ .
is any fixed solution of (2) and
x(t)
¢(t) ~{1-oltl Then
, [
Then (i) and (ii) are clearly satisfied,
8(~ - ) , is the restriction Take
, y(t) : y_(t)
~ .
fl{+ , ~{
Then
,
69
Hence
x(O) = z+(0) - z (0)
and
By combining Proposition conditions.
x(t) = z+(t) - z_(t)
i with Propositions
PROPOSITION 2.
Suppose (2) has bounded growth.
~
the proof.
3.1-3.3 we can obtain more explicit
Let
~
Then the inhomogeneous equation ( i )
for every continuous function
f
which is
if and only if the homogeneous equation (2) has an exponential
dichotomy on
Proof.
T~is completes
We will consider only one important special case.
has a unique solution bounded on bounded on
.
~ . X(t)
be the fundamental matrix for (2) such that
there exist a projection
P
and positive constants
IX(t)Px-l(s)l
S Ke -~(t-s)
for
K , ~
X(0) = I
and suppose
such that
t ~ s , (3)
IX(t)(l - P)X-I(s)I Then for any bounded continuous
S Ke -e(s-t)
function
f
for
s Z t .
the corresponding
inhomogeneous
equation
(i) has the bounded solution y(t) = ft X(t)Fx-l(s)f(s)ds Moreover,
To prove the necessity bounded growth, ~
of the condition we use Proposition
3.3.
(Proposition
bounded growth is replaced by a hypothesis corresponding
projections.
Then
P+V
there exists a projection an exponential
dichotomy on
A matrix function of real numbers
P
A(t)
continuous
R on
as
of bounded decay). (I - P )V
P+ V
span
Let
on
P+ , P
{k~}
P .
such that the translates
This implies that
results can be strengthened.
A(t)
A(t)
{h }
ACt + k~)
is bounded and
of (2) is almost periodic the preceding
We first prove
Hence
(I - P )V , and (2) has
R .
When the coefficient matrix
of
be
is said to be almost periodic if every sequence
~ +
+
V , by (iii), and have
and nullspace
with projection
contains a subsequence
converge uniformly on
Since (2) has
dichotomies
(2) has no nontrivial bounded solution.
with range ~
i.
(2) has no
of bounded growth.
3.3 remains valid if the hypothesis
and
only the zero vector in common, because
(4)
.
equation
Here we have not used the hypothesis
(i) and (ii) imply the existence of exponential
, by Proposition
uniformly
- P)X-I(s)ds
this bounded solution is unique, since the homogeneous
nontrivial bounded solution.
and
- <X(t)(I
70
LEMMA 1.
A(t)
Let
be a continuous matrix function on
(2) has an exponential dichotomy (3) on A(t + h ) ÷ B(t)
~+
R
and suppose the equation
If, for some sequence
uniformly on compact subinter~oals of
R
then
X(h
h
,
)px-I(h~) -~ Q
~nd ~he equation
y' has an exponential dichotomy on
Proof.
: B(t)y
(s)
with projection
Q
and the same constants
K, a .
The translated equation x' : A(t + h )x
has the fundamental matrix
X (t) = X(t + hv)x-l(h
IX (t)P X -l(s)I
where
P
for
t Z s ~ -h v ,
I X ~ ( t ) ( I - P ) X - I ( s ) I ~ Ke -~(s-t)
for
s Z t ~ -h~
.
Since
we can assume that
X (t) + Y(t)
for every
Y(O) = I , it follows
P
IP I ~ K , by restricting + Q , where Y(t)
t , where
Q
attention
is a projection.
is the fundamental
for
-~ < s ~ t < ~
IY(t)(I - Q)Y-I(s) I ~ Ke -~(s-t)
for
-~ < t ~ s < ~
it follows
PROPOSITION 3.
to a
Since
matrix of (5) such that
~ Ke -~(t-s)
Since the projection
,
that
IY(t)Qy-I(s)I
determined
and
_< Ke -a(t-s)
= X(hv)px-I(hv)
subsequenee
)
corresponding that
Suppose
P
A(t)
to an exponential
* Q
dichotomy
without restriction
,
is uniquely
on
to a subsequence.
Then the
is an almost periodic matrix function.
following statements are equivalent: (i)
the homogeneous equation (2) has an exponential dichotomy on
(ii)
the homogeneous equation (2) has an exponential dichotomy on
(i£i)
(iv)
for every
the inhomogeneous equation (i) has a solution bounded on almost periodic function
f(t) ,
the inhomogeneous equation (i) has a solution bounded on almost periodic function
+ •
f(t)
.
+
for every
71
Proof.
(i) implies
sequence
h
÷ ~
(ii) implies Proposition
(ii):
This follows at once from Lemma i, since there exists a
such that
A(t + h ) ÷ A(t)
This was established
(iii):
(iv) implies
(iv): (i):
Since
A(t)
is bounded it is sufficient, by Proposition
if it has a solution bounded on The set
A
of all functions
of almost periodic
functions on
sup -~O
Let any
e
g(t)
such that
2~/m > T equation
be any function in 0 < ~ < 2~/T
C(~+)
which coincides with
T
g(t)
IIy~II ~ rIIgII.
f~(t)
Thus the sequence
subsequenee we can assume that intervals,
on
[0, T]
y(t)
with
a sequence of values
continuous periodic functions
it follows that
T
be any positive number.
we can find a continuous
(i) has a bounded solution
Now give
and let
T
function
and satisfies
÷ ~
y~(t) + y(t)
~fll ~ IIgll •
We obtain corresponding
is bounded.
y~(O) + N .
with period Then the
IIyll ~ rllgll •
and bounded solutions
{y~(O)}
f(t)
For
Since
for every
of the equation y' = A(t)y + g(t)
y~(t)
÷ g(t)
t , where
of
with
By restricting
%(t)
sequences
attention to a
uniformly on compact y(t)
is the solution
72
such that
y(0) = n •
Evidently
y(t)
is bounded and
IIyll ~ rIIgll .
This completes
the proof. The argument asserted. .
Let
in the last part of the proof establishes
S
Then the set
be any module, A(S)
i.e., an additive
of all almost periodic
rather more than has been
subgroup
functions
of
~ , which
f(t)
is dense in
with Fourier series
i~kt eke
, where
~
( S
for all
that in (iv) it is sufficient for every omitted.
f E A(S)
.
For example,
k
, is a closed subspace
to assume the existence
However,
the hypothesis
that
of
A .
The proof shows
of a solution b o u n d e d on S
is dense in
~
~+
cannot be
the scalar equation y' : ½iy + f(t)
has a solution function
of period
f(t)
2~ , and hence a b o u n d e d solution,
of period
for every continuous
27 .
It should be noted also that in (iii) the solution b o u n d e d on (ii).
Furthermore
it is almost periodic
joint frequency module of argument
A(t)
and
and its frequency
f(t)
•
is unique, by
module is contained
in the
This may be established by a similar
to that used to prove our next result.
PROPOSITION 4.
A(t)
Suppose
is an almost periodic matrix function and the equation
(2) has an exponential dichotomy (3), with fundamental matrix
P . Then
Let
uniformly
{h}
on
the normality U(t + h )
A(t)
and projection
.
be any sequence
[ , with limit properties
converges
x(t)
is almost periodic and its frequency module is contained in
X(t)PX-k(t)
the frequency module of Proof.
~
of real numbers
B(t)
say.
If we put
of almost periodic
uniformly on
[
By Lemma i and its proof, as
such that
A(t + h )
U(t) : X(t)PX-I(t)
functions,
it is sufficient
converges then, by to show that
.
v ÷
U(t + h v) : X ( t ) U ( h ) x v - l ( t )
÷ Y(t)Qy-l(t) where
Q
is a projection
such that
Y(O) : I .
and
{k }
of
is the fundamental
Moreover the convergence
it were not uniform on subsequence
Y(t)
= V(t)
matrix of the equation
such that~ IU(t
for all
+ k ) - V(t
(5)
is uniform on compact intervals.
there w o u l d exist a sequence {h }
, say,
V ,
)I ~ y > 0 .
{t }
of real numbers
If
and a
73
By restricting attention to a further subsequence we may suppose that converges
uniformly on
uniformly on
~ .
~ , with limit
C(t)
say.
By what we have already proved,
uniformly on compact intervals,
to
Z(t)pz-I(t)
Then also U(t + t
, where
Z(t)
A(t + t
B(t + t~) ÷ C(t) + k )
converges,
is the fundamental
matrix of the equation z' = C(t)z such that
Z(0) = I
and
V(t + t )
converges to
P
is a uniquely determined projection.
Z(t)pz-I(t)
.
Therefore
lu(t~ + k ) - v(tv) I + 0 , which is a contradiction.
+ k
Similarly,
9.
Let
A(t)
continuous
n × n
contains
locally
function limits
be an
A(t) A(t)
The set
uniformly,
A
{k }
hull
is translation
to an element o f
A .
~ x(s)
~)
of
as
~ If
theorem,
of
A(t)
h + 0 .
contains
x (t)
i.e.,
if
Moreover
of
A(t + k )
interval. The set
The set
A(t)
~ A
The limit A
o f all such
then also
A(t + h) ~ A(t) A
a subsequence
Aw(t) ÷ A(t)
, where
continuous.
{h }
.
invariant, h .
any sequence
such that the translates
i.e. uniformly on every compact
for any real n u m b e r
o f elements
x (s)
Then, by Ascoli's
is again b o u n d e d and ~niformly
(and even uniformly on
then
[ .
a subsequence
is called the
A(t + h) 6 A
sequence
m a t r i x function which is bounded and uniformly
on the whole line
real numbers converge
DICHOTOMIESAND THE HULL OF AN EQUATION
locally uniformly
is also compact, which converges
locally uniformly,
is the solution
~
i.e., any
locally uniformly
+ ~ , and
of the differential
s
~ s
equation
x' = A ( t ) x such that
x (0) = ~
and
x(t)
is the solution o f the differential
equation
x' = A(t)x such that
x(O) = ~
We propose
.
It is just these properties
to study the
family
of differential
x' = A(t)x We first prove
o f the hull that we w i l l actually
,
A 6
A
equations .
(l)
75
LEMMA I.
The equations
exists a constant
(i) have uniformly bounded growth and decay;
C > 0
such that every solution
that is, there
of an equation (I)
x(t)
satisfies
Ix(t)l ~ clx(s)l Proof.
Otherwise,
solutions
since
x(t)
A
for
is translation
|t
with
Ix (O)I = 1 , and a sequence
that
Ix~(s )I ~ ~
invariant,
s 1
.
there exists a sequence
of
By r e s t r i c t i n g
attention
locally uniformly,
x (0) + ~
-i ~ s ! i .
Then
, where
x (s)
x(O) = ~ .
+ x(s)
( A
o f real numbers
A (t) ~ A(t)
(i) v {s }
with
-i ~ s
to a subsequence
where x(t)
~ 1 , such
we may suppose that
|~I : i , and
+ s
s
where
is the solution of the equation
(i)
Thus we have a contradiction.
Until further notice we now make the following (H)
sl
of equations x' : A (t)x , A
such that
-
fundamental
NO equation (i) has a nontrivial solution bounded on
assumption:
~ .
With its aid we first prove
If
LEMMA 2.
holds, and if
(H)
that every solution
Otherwise,
T > 0
such
of an equation (1) satisfies
x(t)
Ix(t)l S 8
Proof.
o < @ < l , there exists a constant
since
A
sup lu-t |~T
Ix(u) I
is translation
s -1 ~
for
-~ < t
0
such that
Ix(u)l
lul~T for every solution sequence
t
÷ ~
x(t)
o f an equation
, and a sequence
(1) with
o f solutions
|x(0) I = 1 .
x (t)
Thus there exists a
of equations
(i) V
with
Ix (O)I = 1 , such that
sup
Ix (t) I < @-i •
Itl~t~ By restricting
attention
l~I = i , and
A (t) ÷ A(t)
for every real each fixed
t
Ix(t)l ~ @ -1 .
to a subsequenee
t , where we have
locally uniformly, x(t)
Ixg(t)l
Therefore,
we may suppose that
is the solution < 0 -1
where
A ( A .
Then
of (I) such that
for all sufficiently
by the hypothesis
xg(O) + ~ , where
large
(H) , x(t) £ 0 .
x (t) + x(t)
x(O) = ~ .
For
9 , and hence
Thus
~ = 0 , which
is
76
a contradiction. It follows positive which
from Lemma 2, by Proposition
constants
is bounded
K , ~
on
such that
for every solution
each equation
solution
x(t)
for
(i) has an exponential
of an equation
(i) which
(I) has an exponential
If, for a given equation [+
and a solution
hounded
dichotomy
independent
of the particular
have
projection,
on
(1)m
locally
uniformly,
then
{P }
equation
m .
to
P .
÷ P
has a convergent
equations
Thus
Consider uniformly
P
dichotomy
K
on
and
~
on
R
matrix which
on
hm ÷ ~
~
P
dichotomy
takes
P
I
at
If the equations and if
Am(t) ÷ A(t)
and the equation
In fact the bou~nded
is its limit then the limit
on
(i) and suppose
P , since the
~{ with constants
and so the whole
P+
are
and the
the value
equation.
P .
on
has an
that the norm of the
with projection
dichotomies
If
of the equation
If
bounded
, this equation
is again a projection,
subsequence.
equation
(H)
It follows
with projection
dichotomy
,
are independent
~{ with projections P
for every
,
is the sum of a solution
of the particular
determined,
now an arb&trary
[{
Similarly,
on
and decay.
have exponential
is uniquely
for some sequence
exponential
growth
where
dichotomy
on
[+
of the exponential
since
to the fundamental
(i) has an exponential
approximating of
(i)
•
-~ < t 0 .
and fix
~ > 0
so small that
% = £K[y -I + (~_y)-l] < i .
Let z(t)
~
be any vector in the range of be any continuous
function
from
P0
such that
R÷
into
~n
I~I < (i - 8)K-16 such that
, and let
85
fl~ll
= sup
eYtlz(t)l ~ 6
.
t~O
Consider the integral operator
Tz(t) : Yh(t)Ph[
+
/~Yh(t)PhYh-l(s)fh [s, z(s)]ds - ~tYh(t)(l - Ph)Yh-l(s)fh[s,
z(s)]ds
.
Using (5), it is easily verified that
Ilrzlt ~ Klel
* ell~ll < 6
and
tF h
- rz211 ~ ellz I - ~2tl.
It follows, by the contraction principle, T
has a unique fixed point
zh(t, $)
that for any given vector
in the ball
Hzh(t, ~)If-< ( i Moreover,
for
llzll~ ~ , and
e)-iK1~[
•
t = 0 Zh(O , ~) = Ph~ - g ( I
and hence, as
the operator
i~l + 0
- Ph)Yh-l(s)fh[s,
,
Zh(0, ~) : Ph ~ + o(I~I) The fixed point
Zh(S, ~)]ds
zh(t , ~)
uniformly in h .
is a solution of the differential equation
z' = Cx[Xh(t)]z + fh(t, z) and thus xh(t, ~) = zh(t, ~) + xh(t) is a solution of the original equation (3).
Thus for each
dimensional family of solutions of (3) which converge to
h Xh(t)
we have an
(n-m)-
exponentially as
t ~ We wish to show that the function origin onto a neighbourhood of the point
(h, ~) + ~n(O, ~) Xo(0) •
For
maps a neighbourhood of the
lhI + [~[ + 0
~(0, ~) : ~ + o(]~t) , Xh(O) = g(O) + gu(O)h + o(lhl)
,
we have
86
and hence Xh(0, 6) = Xo(0) + gu(0)h * ~ + o(lh I + I~l) • The linear map
(h, ~) -~ gu(0)h + ~
is invertible, since
the nullspaee and range of the projection
P
o
gu(0)h
and
~
run through
Therefore the assertion follows from
the topological inverse function theorem. Consequently, for each solution m-dimensional torus
x(t)
of (3) which passes sufficiently near the
g(u) , on which the given quasi-periodic solution
dense, there exists a vector
h = (h i , ..., h m)
x (t) o
is
such that the difference
x(t) - g(ml t + hl, ..., 0~mt + h m) tends to zero exponentially as
t + ~
orbital stability of periodic solutions.
This generalises a standard result on the
APPENDIX:
THE METHOD OF PERRON
We describe here an alternative in the Notes,
functional-analytic Let
x(t)
approach
to the problems
of Lecture
and give an application which does not seem amenable
A(t)
approach.
be a continuous
n x n
matrix function on the half-line
be a fundamental m a t r i x for the linear differential x' = A(t)x
By Gram-Schmidt
3, mentioned
to our previous
orthogonalisation
and let
equation
(l)
.
of the columns o f
column, we obtain a unitary matrix
~+
U(t)
X(t)
, starting with the last
and a lower triangular
matrix
Y(t)
such
that X(t) = U(t)Y(t) Moreover,
U(t)
main diagonal
of
differentiable,
and
Y(t)
Y(t)
are uniquely
determined
to be real and positive.
it is easily seen that then
The change of variables
x = U(t)y
B = U-IAu - U-~'
equation, since
U
.
Since
B(t) : Y'(t)y-l(t)
Y(t)
if we require
Since
U(t)
replaces
y' = B(t)y Where
.
and
X(t) Y(t)
the equation
the elements
is continuously are also. (i) by
,
(2)
is a fundamental m a t r i x of the transformed
is lower triangular with real main diagonal.
is unitary, (UU*)'
= U'U* + UU *t = 0
and hence U(B + B*)U* = A + A* . Therefore
lIB
+
B*II
in the
=
IIA
+
A*]I •
Moreover,
88
n x n
For any
matrix
C = (Cjk)
it is easily shown that
n-1Zlojkr 2~ llcll2 ~ Z j,k Since
B
is triangular and
lejkl2
j,k
bkk = b~k
, it follows
that
iiBi12~ j,k ibjk12 O
such that the inhomogeneous linear
differential equation (4) has a bounded solution for every bounded continuous function g(t)
if it has a bounded solution for
g(t) = gl(t) . . . . , gn(t)
gk(t): glk'(t) 1 gnk(t) 1
, where
89
is a continuous function such that, for all
t ~ 0 ,
Rgkk(t) h i , Igjk(t) I ~ 6 (j : 1 . . . . . k - i) . Proof.
Suppose first that
n = 1 .
Then
y(t) : exp I~B(u)du is a positive solution of the corresponding homogeneous equation (2). (4) with
g(t) = Rgl(t)
has a real bounded solution
The equation
Moreover
wl(t) .
wl(t)
has
the form wl(t) -- y(t){Wl(O) + foRgl(u)/y(u) du} . The expression between the braces has a finite or infinite limit as
t + ~
If this
limit is zero then wl(t) : -y(t) 0
du .
such that
for all large
t ,
and hence also y(t)f~Rgl(u)/y(u) du is a bounded solution of (4).
Since
Rgl(u) ~ i
it follows that either
y(t)/y(u) du or f~y(t)/y(u) du is bounded.
g(t)
Hence for any bounded continuous function
the equation (4) has the
bounded solution w(t) : -y(t)~g(u)/y(u)
du
or t w(t) = y(t)fog(U)/y(u) Suppose next that write
n > i
du
and that the result holds in lower dimensions.
We
go
[
~(t) 0 ] b(t) B(t)
B(t) =
where
B(t)
positive -~ 6 .
is an
constant
(n - i) x (n - i) corresponding
to
Then the inhomogeneous
B(t)
by Proposition
solution
w(t)
and
= ~(t)~
r
and
g(t) = gn(t)
N
~
be the
and suppose
continuous
function
g(t)
.
Moreover,
3.2,
are positive
the equation
hypothesis
Let
+ ~(t)
llw(t)II-< eNe-r-ltIlw(O)ll where
is a scalar.
by the induction
for every bounded
3.4 and Lemma
6(t)
equation
~' has a bounded
matrix
constants
+ r sup
depending
(4) has a bounded
llg(t)ll
only on
B(t)
, •
By hypothesis,
for
solution
[Wn (t)] Wn(t) Thus
~(t)
is a bounded
solution
: [c0(t) J "
of the scalar equation
00' = 8(t)co + b(t)Wn(t) We can choose
6 > 0
tO > 0
.
so small that r(n - i) ~ 6 sup t>0
and then
+ gnn(t)
llb(t)II -
t o .
n = i , the scalar equation co' : 8(t)~ + y(t)
has a bounded follows
solution
for every bounded
from the induction
every bounded
continuous
hypothesis
function
continuous
scalar
that the equation
g(t)
.
function
y(t)
(4) has a bounded
.
It now
solution
for
91
PROPOSITION 2. R+
and let
A(t)
Let
Xl(t) . . . . .
be a bounded continuous real
n
×
n
matrix function on
be a fundamental system of solutions of the linear
~(t)
differential equation (I). Then there exists a constant
0 > 0
such that (i) has an exponential dichotomy
if the corresponding inhomogeneous equation (3) has a bounded solution for f(t) : fl(t), ..., fn(t) , where
is a continuous function whose distance from
fk(t)
the subspace spanned by
Xk+l(t) . . . . ~ Xn(t)
the subspace spanned by
>~k(t). . . . . Xn(t)
Proof.
Let
X(t)
is at least is less than
i
and whose distance from
p , for all
be the fundamental matrix of (i) with columns
t ~ 0 .
xl(t), ..., Xn(t)
and form the corresponding system (2) with triangular coefficient matrix.
By
Proposition 3.3 and our previous remarks, it is sufficient to show that the inhomogeneous equation (4) has a bounded solution for every bounded continuous function
g(t) .
u-l(t)fk(t)
We know that (4) has a bounded solution for
(k = I . . . . . n) .
If we denote the columns of
Ul(t) .... , Un(t)
then
Uk(t)
xk(t) . . . . , Xn(t)
which is orthogonal to
g(t) : gk(t) = U(t)
by
is a unit vector in the subspace spanned by Xk+l(t) , ..., Xn(t) .
Since
fk(t) = glk(t)ul(t) + ... + gnk(t)Un(t) we have 2
2
glk(t)
+ ...
gl~(t)
+ gk_l,k(t)
+ ...
~ p ,
+ gk~(t)
~ I .
The result now follows from Proposition i. In the complex case we can prove in the same way
PROPOSITION 3.
A(t)
Let
be a bounded continuous
Then there exists a constant Ul(t), ..., Un(t)
with
n > 0
n
x n
matrix function on
+
and continuously differentiable functions such that the equation (k) has an exponential
llul (t)ll ~ i
dichotomy if the corresponding inhomogeneous equation (3) has a bounded solution for f(t) = f1(t), ...~ ~ ( t )
llfk(t)
- uk(t)ll
< n
, where
for
all
t ~
fk(t) 0
is a continuous function satisfying
.
In particular, when the coefficient matrix is bounded the inhomogeneous equation (3) has a bounded solution for every f
in some dense subset of
C .
f ( C
if it has a bounded solution for every
NOTES
Lecture I.
For the variation of constants formula, Gronwall's inequality~ and further
information about stability and nonlinear problems see, e.g.~ Coppel [i].
An
eigenvalue is said to be semisimple if the corresponding elementary divisors are linear, i.e., all corresponding blocks in the Jordan canonical form are
1 × 1 .
The
example of the failure of the eigenvalue characterisation in the non-autonomous case comes from Hoppensteadt [I].
The theory of functions of a matrix is discussed in
Dunford and Schwartz [i] and in Hille and Phillips [i]. Gel'land and Shilov [i], p.65. Coppel [i], p.l17.
For Proposition 6 see Coppel [3].
'logarithmic norm'
~(A)
Lecture 2.
For the inequality (4) see
A less precise version of Proposition 4 is given in The main properties of the
are described in Coppel [I], pp.41 and 58.
The terms 'exponential dichotomy' and 'ordinary dichotomy' are due to
Massera and Schaffer.
For definitions of the angle between two subspaces see Massera
and Sch~ffer [3], Chapter i, and Dalecki[ and Kre~n [i], Chapter 4.
Proposition 1 is
due to Massera and Seh~ffer [2], although it was suggested by earlier work of Krasovski[ [i]°
An indirect proof of Proposition 2 is given in Massera and Schaffer
[3], Chapters 4 and 6.
Lecture 3.
Questions of the type studied here were first considered by Perron [i],
although Bohl [i] had come very close.
Perron assumed the coefficient matrix
A(t)
bounded and showed that by a change of variables it could be supposed triangular, thus permitting induction on the dimension. using Perron's method.
Ma~zel' [I] first established Proposition 3,
An interesting application of this method, recently given by
Rahimberdiev [i], is discussed in the Appendix. For the case in which all solutions of (i) are bounded Kre~n [i] and Bellman [1] used instead the uniform boundedness theorem of functional analysis.
Massera and
Schaffer [i] used the closed graph theorem, as in Proposition 4, to establish both Propositions 1 and 3, and later also Proposition 2. generality in Massera and Schaffer [3].
Their theory is set out in full
For the closed graph theorem itself see,
93
e.g., Dunford and Schwartz [i] or Hille and Phillips [i].
Lecture 4.
The roughness of exponential dichotomies is treated in Massera and
Schaffer [3], Chapter 7, and in Dalecki~ and Kre~n [i], Chapter 4.
For the
successive approximations argument used in the proof of Lemma i el. Coppel [i], p.13.
lecture 5.
The term 'kinematic similarity' comes from Markus [1].
to Coppel [2].
Lemmas 1-3 are due
However, the use in Lemma 2 of the fundamental matrix of (4) follows
Dalecki~ and Kre[n [I].
The smoothness properties of the positive square root of a
positive Hermitian matrix follow at once from its representation by a contour integral. If, in Proposition i, the original coefficient matrix every
t
then the change of variables
x = T(t)z
sharper estimates for the various constants.
A(t)
commutes with
P
for
is superfluous and one obtains much
Propositions 2 and 3 are proved in
Coppel [3].
Lecture 6.
Schaffer [i] shows that in Lemma i one can take
conjectures that the best possible value is
kn = 2
for
k
n
: (en) ½
n > i .
extension, due to Chang and Coppel [i], of a result in Ceppel [2].
and
Proposition 1 is an The important
differential equation (4) was discovered independently by Dalecki[ and Kre[n [i] ~ and Kato [i].
Daleckii and Krein [I] give an extension of Proposition I to Hilbert space.
An approach which permits an extension to Banach space is contained in a recent article of ~ikov [i].
Proposition 2, which is new, generalises Theorem 6.4 of
Dalecki~ and Kre[n [i], Chapter 3. Proposition 3 is essentially due to Lazer [i].
It has been shown by Palmer [i]
that, for real systems, there is still an exponential dichotomy if, more generally, (7) holds with
Lecture 7.
6 = 0
and
infldet A(t) I > 0 .
The connection between Lyapunov functions and exponential dichotomies was
first considered by Ma~zel' [i].
The connection with ordinary dichotomies is also
studied in Massera and Schaffer [3], Chapter 9.
For Proposition 4 cf. Ostrowski and
Schneider [i], Dalecki~ and Kre~n [i], Chapter i, and Wimmer and Ziebur [i].
For the
concept of controllability see, e.g., Kalman et al. [i]. Propositions 2.1, 3.3, and 7.2 state properties equivalent to an exponential dichotomy under the assumption of bounded growth.
We pose the problem:
what are the
relations between these properties without this assumption?
Lecture 8.
Propositions i and 3 are contained in Massera and Schaffer [3], Theorems
81.E and I03.A.
For Proposition 4 see Coppel [2].
94
Lecture 9.
Propositions
i and 3 are due to Sacker and Sell [i], although their
original proofs used algebraic topology. found independently
by Kate and Nakajima
Sacker and Sell [2], [3]. formulation
Proposition
Proofs similar to those given here were [i].
Further results are contained in
4 is new.
analogous to that of Proposition
It would be desirable to have a
i, in which the hypothesis
is omitted and the conclusion applies to each equation Lemma 3 was suggested by Nakajima out in Coppel [4].
[i].
The application
[i].
of recurrence
m-limit set of (2).
to Hahn's problem was pointed
The result on orbital stability cannot be extended to almost
periodic solutions which are not quasi-periodic; Thomas
(i) in the
cf. Theorem 3.4 of Allaud and
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INDEX
Almost periodic
.
.
.
Angle between subspaces Bounded growth
.
.
.
Exponential Hull
.
.
.
.
.
.
.
.
.
.
similar .
.
.
Locally uniformly
.
.
.
.
Logarithmic
.
.
.
.
.
.
.
.
Module
function .
.
.
.
.
.
.
.
.
.
.
Ordinary
.
.
.
.
projection
Projection
.
.
.
.
Quasi-periodic
.
.
..
.
.
Recurrent
.
.
.
.
.
.
Reducible
.
.
.
.
.
.
Semisimple
.
.
Uniform asymptotic U n i f o r m stability
.
.
64-65
.
.
.
.
.
.
.
.
i 0
.
.
.
.
74
. .
....
20
° ,
....
74
. . . .
9
....
59
° .
....
72
. °
.
.
.
.
83
° .
.
.
.
.
i 0
° °
. .
. °
.
.
.
.
39
, .
.
.
.
.
i 0
° .
.
.
.
.
83
° .
....
78
. °
....
38
, °
° .
. .
. °
° °
. . . .
° °
..
.
23, 92-93
° .
stability .
8
. °
° .
eigenvalue
-.
38
. °
. °
. . . .
....
. °
. .
Orbital stability
Orthogonal
° .
.
dichotomy
° .
69 ii, 92
....
. °
° .
..
.
norm
° .
..
° °
. . . . . . ....
° °
. .
.
.
Integrable
Lyapunov
° °
-.
.
. °
, °
.
dichotomy
Kinematically Locally
.
° .
.-
Closed graph theorem Controllable
. °
.
. °
° .
° .
. °
, °
° °
. . . .
. °
° .
.
.
.
3, -*
.
.
.
92 1
1