578 Econo1nical Difference Schemes for Multidin1ensional Problems
the following algorithm is recommended for the possible applications:
+1.
yl =y1+rw(2)·
In this context, we should focus the reader's attention on the process of
specifications of boundary conditions by doing Gaussian elimination along
the rows for w(!J and along the colu1nns for w( 2 J° \:Vhen p. happens to be
independent oft, that is, f.-l = p.(x), the quantities w( 11 and w( 2 ) satisfy the
h01nogeneous boundary conditions. · ·
Example 5 In tackling problem (26) the operator L is approximated by
the difference opera.tor
p
Ay= 0.5 L [(kcx,e(x,t)yxJ'),"" + (ka,e(J:,t)yxtl),;;j
a,,6=1
with the coefficients k°' ,6 still subject to the following conditions with con-
stants c 2 > c 1 > 0:
p p p
c1 2= c:J <
"°' - 2=
kcq3(:c, t)~0:~/3 < C2 2..:2 ~u for all .r E (,' 0 , t > 0.
a= l a,,6=1 ex= l
Having stipulated the condition l(ka,e)tl < c 3 , where c 3 = const, the oper·
0
ator A(t)y = -A(t)y is Lipshitz continuous in the space H = r2 h· Also, it
will be sensible to approve the same selection rule for the regula.rizer as in
the preceding example:
p
R = L Ra,
0
Ra Y = -(} C 2 A a Y,
0
AaY= Yx 0 x 0 •
a=l
In that case the factorized scheme (39) is stable under condition ( 40)
or, what amounts to the same, for (} > (1 + c)/4, c > 0, and it is of
second-order accuracy with respect to all the variables.