94 Basic Concepts of the Theory of Difference Schemes
Assuming this to be the case, we deduce in light of the obvious relations
1 - T .. \ < exp{-,\ T} and I q 1 I > I qk I for k > 1 that
11 Y j 11 < m:x I q k I j 11 Yo 11 < ( 1 - T ) f 11 Yo 11 < exp { -\ t j } 11 Yo 11 ·
We have here one of many examples reinforcing the view that the
general ideas of stability are sensible. Consider a system of two equations
du
-+au+ bv = 0,
clt
dv
di +bu+ av= 0
with the matrix A= ( ~! ) , where a= ~ (.6. + b) and b = ~ (.6. - b). It
is straightforward to verify that its eigenvalues and eigenvectors are equal
to
With these entries, scheme (10) reduces to
(15)
y 1 +i - y· 1
T + a Yj + b zj =^0 ,
ZJ+l - Zj
~--~+by·+az T J J =0.
j = 0,1,2, ... '
Observe that the vector {Yo' Zo} coincides with the first eigenvector el if we
agree to consider
(16) Yo= )2,
After scrutinising the available information we initiate the review of final
results of calculations for problem (15)-(16) with the following values of
parameters:
1) b - 1 .6.-2
T= -·^3
- ' - , .6. ,
2) b = 10, .6. = 400,
6
T = -.6..
In both cases I l - Tb I < 1 and, therefore, for a solution of problem
(15)-(16) estimate (14) is valid, but T > 2/ .6.. Because of rounding errors,
the computational process is unstable: for large j the growth of its solution
causes abnormal termination in the computer realization of the algorithm.
The final results of calculations are tabulated in Table 2 with the
values of the functions Yj and zj for several j. For variants 1 and 2 abnormal
terminations have occurred at the 105th and 46th time steps, respectively.