Anisotropic Diffusion
Many of the results derived so far can be generalized to the case where
the conduction coefficient is not constant, but depends on spatial coordinates:
. This spatial variation leads to the so-called anisotropic diffusion
equation:
Note that this reduces to (2.1)
if c is constant. Two important points to note is that
does not depend on time, and that we require that c is strictly
positive: c>0.
-
Proof
-
The proof closely parallels that of Theorem 6,
and basically requires some more careful arithmetic.
First, let
. Then
. On the other hand, the divergence theorem implies
where
is the outward normal from the boundary
of the region
. Hence:
We apply the divergence theorem again to
:
-
Let
. Then:
In particular,
(strict), unless
everywhere, which in turn requires u to be constant.
-
Suppose u attains its maximum value at some point in the interior
of
for some time
, say at
. Now, it may be that
over some time interval
. Then there is a neighborhood of
, say
,
, and some time interval
, in which both
and
. But then the diffusion equation implies
in this neighborhood. In particular,
for some interval
. Let
be the earliest time for which this holds.
-
If
at all points on
, then (2.22)
implies
. Let
. Then: