BIT 11 (197I), 884-388
A-STABLE
RUNGE-KUTTA
PROCESSES
F. H. CHIPMAN Abstract.
The concept of strong A-stability is ...
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BIT 11 (197I), 884-388
A-STABLE
RUNGE-KUTTA
PROCESSES
F. H. CHIPMAN Abstract.
The concept of strong A-stability is defined. A class of strongly A-stable RungeKutta processes is introduced. It is also noted that several classes of implicit Runge-Kutta processes defined by Ehle [6] are A-stable. I. Introduction.
T h e v-stage R u n g e - K u t t a process for numerically solving the n-dimensional s y s t e m y' = f ( x , y ) , y(O)=Yo, is given b y (1.1)
Ym+I = Ym+ h W K ,
m = 1,2 . . . . .
where K =
with K i = f
xm+c th,ym+h~bi~K j~l
t , ]
and W = ( w t I . . . . . wv/), with I the n × n i d e n t i t y matrix. T o s t u d y t h e stability of process (1.1), we a p p l y it t o the scalar equation y ' = qy, R e (q)< 0. The resulting difference e q u a t i o n is
(1.2)
Ym+i = Y,~ + h W K
where (1.3)
DEYIiVITION 1.1. Process (1.1) is well defined if (1.3) has a unique solution for all q w i t h R e (q) < 0. Hence, for a well defined process, (1.2) m a y be w r i t t e n
(1.4)
Ym+l = (1 + q h W ( I - q h B ) - t e ) y m = E(qh)y~,
where e = ( 1 . . . 1) ~" a n d B = (b~s). Received July 28, 1971.
A-STABLE RUNGE-KUTTA PROCESSES
385
DEFINITION 1.2. Process (1.1) is A-stable, in the sense of Dahlquist [5], if IE(z)l < 1 for all complex z with negative real part. DEFINITION 1.3. Process (1.1) is strongly A-stable if it is A-stable and l i m ~ (~)_~_~E (z ) = O. If a process is not well defined, then E ( z ) is not defined at v or fewer points in the left half complex plane. Rewriting E ( z ) as a rational function det(I-zB) + z W adj ( I - z B ) e P(z) E(z)
=
=
det(I-zB)
- -
Q(z)'
we see t h a t an A-stable process is well defined if P ( z ) and Q(z) have no common zeros in the left half plane. In particular, any A-stable process with a Pad~ approximation E ( z ) to exp(z), is well defined, and thus all processes considered in this paper are well defined. 2. C l a s s e s of A - S t a b l e P r o c e s s e s .
Butcher's [2] v-stage processes of order 2v, based on Gaussian quadrature formulae, have been shown to be A-stable by several authors (see [6] and [7]). Although Butcher's methods based on Radau and Lobatto quadrature formulae [3] are not A-stable, Ehle [6] has constructed similar methods which he conjectured to be A-stable. The A-stability of these processes is established in [4]. Table 2.1 summarizes some known classes of A-stable processes. The w i and ct are weights and abscissae of the appropriate quadrature formula, and B = (hi1), V ~ - (CiJ-1), C = (ciJ/j), N = (1/i) and D = d i a g ( w f ) are all square matrices of dimension v. Table 2.1. A - S t a b l e R u n g e - K u t t a
Processes.
Class
Quadrature formula
B defined by
G (Butcher) IA (Ehle) IIA (Ehle) IIIA (Ehle) IIIB (Ehle) IIIc (Chipman)
Gaussia~ Radau, c1= 0 Radau, cv = 1 Lobatto Lobatto Lobatto
B = C V -1 B = D -1 ( V ~) -1 ( N - C)TD B = C V -1 B = C V -1 B = D - I ( V ~ ) -1 (N - C)TD
Equation (2.1)
Order ~V
2v--1 2v - 1 2v - 2 2v - 2 2v--2
The collocation methods of Wright [7] and Axelsson [1] based on Gaussian, Radau and Lobatto quadrature formulae are equivalent to class G, IIA and I I I B processes respectively.
386
F.H. CHIPMAN
I n addition to Ehle's class IIIA and I I I B processes, a third class can be defined, based on L o b a t t o quadrature formulae. This class, referred to as class I I I c, is defined in the following w a y : 1. Choose wt and ct as the weights and abscissae of a v-point L o b a t t o quadrature formula. 2. Choose bil=wl, i= 1,2 . . . . v. 3. Choose the remaining btj b y
(bl~ ... blv (2.1)
by2
! C12 C1-- W1 "~ •.,
c?-I I 1 •
=
Cv2 Cv Wl -~
bvv)
C2 ... .
c2v--2\
}
1 cv
-1
Cvv-2]
v-11
I n [4] it is established t h a t these processes are of order 2 v - 2, and are strongly A-stable since E(qh) in equation (1.2) becomes a second subdiagonal Pad6 approximation to exp (qh). Similarly it is noted t h a t processes in classes I~ and I I ~ are also strongly A-stable. Coefficients for several processes in class I I I c are given in the appendix. I t is the author's experience t h a t these methods can be used to solve stiff systems of ordinary differential equations at least as efficiently as methods now in use. A future paper will deal with the implementation of A-stable R u n g e - K u t t a processes.
Appendix.
Coefficients for class I I I c processes, v < 5.
v=2
1
1
2
2
1
1
~
~
1
1
0 1
v=3
1
1
1
6
3
g
1
5
1
12
12
1
2
1
1
2
1
0 1
A-STABLE RUNGE-KUTTA PROCESSES
v=4
12
12
1
1
1
12
12
lo-7
1--2
v=5
V~
387
5 - Vg
60
10
60
1
1 0 + 7]/5
12
60
1
5
5
1
12
12
12
12
5 + V5 6o
1
5
5
1
12
12
12
12
10
1
7
2
7
1
2--0
60
1-5
60
2-0
0
1
29
47 -- 105r
2 9 - 30r
3
1--r
20
180
315
180
140
2
1
7 (47+105r~
73
3
1
20
180 \
16
]
360
7
(47--105r~
180 \
16
]
160
1
29 + 3 0 r
47 + 105r
29
3
l+r
20
180
315
180
140
2
1
49
16
49
1
20
180
45
180
20
1
49
16
49
1
20
180
45
180
20
REFERENCES 1. O. Axelsson, A Class of A-stable Methods, BIT 9 (1969), 185-199. 2. J. C. Butcher, Implicit Runge-Kutta Integration Processes, Math. Gomp. 18 (1964), 50-64. 3. J. C. Butcher, Integration Processes Based on Radau Quadrature Formulas, Math. Comp. 18 (1964), 233-244. 4. F. H. Chipman, Numerical Solution of Initial Value Problems using A-stable RungeKutta Processes, Research Report CSRR 2042, Dept. of AACS, University of Waterloo.
388
F . H . CHIPMAN
5. G. D a h l q u i s t , A Special Stability Problem for Linear Multistep Methods, B I T 3 (1963), 27-43. 6. B. L. E h l e , On Padd Approximation to the Exponential Function and A-stable Methods .for the Numerical Solution of Initial Value Problem~, R e s e a r c h R e p o r t C S R R 2010, D e p t . A A C S , U n i v e r s i t y of W a t e r l o o . 7. K . W r i g h t , Some Relationships Between Implicit Runge-Kutta, Collocation and Laaczos T Methods, and their Stability Properties, B I T 10 (1970), 217-227.
FACULTY OF MATHEMATICS UNIVERSITY OF WATERLOO WATERLOO, ONTARIO CANADA
DEPT. OF MATHEMATICS ACADIA UNIVERSITY WOLI~VILLE, NOVA SCOTIA CANADA