Civil Engineering Reference
In-Depth Information
2
; x 2
+ y 2 <
4.4 Lemma. Suppose is contained in the disk B R ( 0 ) :
={ (x, y) ∈ R
R 2
} . Let V be the solution of the equation
L h V =
1
in h ,
( 4 . 3 )
V =
0
on ∂ h ,
where L h is the standard five-point stencil. Then
1
4 (R 2
x i
y i ).
0
V(x i ,y i )
( 4 . 4 )
y 2 ) , and set W i = w(x i ,y i ).
Since w is a polynomial of second degree, the derivatives of higher order which
were dropped when forming the difference star vanish. Hence we have (L h W) i =
Lw(x i ,y i ) =
1
4 (R 2
x 2
Proof. Consider the function w(x,y) :
=
0on . The discrete comparison principle
implies that V W , while the minimum principle implies V
1. Moreover, W
0, and (4.4) is
proved.
The essential fact about (4.4) is that it provides a bound which is independent
of h . - This lemma can be extended to any elliptic differential equation for which
the finite difference approximation is exact for polynomials of degree 2. In this
case the factor
1
4
in (4.4) is replaced by a number which depends on the constant
of ellipticity.
4.5 Convergence Theorem. Suppose the solution of the Poisson equation is a C 2
function, and that the derivatives u xx and u yy are uniformly continuous in . Then
the approximations obtained using the five-point stencil converge to the solution.
In particular
max
z
h | U h (z) u(z) |→
0 as h
0 .
( 4 . 5 )
Proof. By the Taylor expansion at the point (x i ,y i ) ,
L h u(x i ,y i ) =− u xx i ,y i ) u yy (x i i ),
where ξ i and η i are certain numbers. Because of the uniform continuity, the local
discretization error max i | r i |
tends to 0. It now follows from (4.2) and Lemma 4.4
that
R 2
4
max
| η i |≤
max
| r i | ,
( 4 . 6 )
which gives the convergence assertion.
O (h 2 ) estimates for the global
error, provided u is in C 3 ( ¯ ) or in C 4 ( ¯ ) , respectively.
Analogously, using (4.6), we can get
O (h) or
Limits of the Convergence Theory
The hypotheses on the derivatives required for the above convergence theorem are
often too restrictive.
 
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