The motivation behind weak solutions to partial differential equations (PDEs) in divergence form, based on the formula for integration by parts, is well known. In this way, one can develop the notion of weak derivative for suitable classes of Lebesgue integrable functions. This section discusses some fine properties of functions found within one such class, the so-called Sobolev space with given
,
, and domain
.
Weak Maximum Principles
In studying the existence of weak solutions to quasilinear PDE, one can consider the method of sub and super solutions. It is a constructive approach in which a weak maximum principle plays a key role. An example of this principle reads as follows.
Theorem 1. (Weak Maximum Principle) Let be a bounded domain with Lipschitz boundary, and let
be such that
on
in the sense that
. Furthermore, suppose that
in
weakly, for some
, which is to say that
for all with
a.e in
. Then
a.e in
.
I met this result when I attended The University of Oxford’s course on Fixed Point Methods for Nonlinear PDEs (HT 2020). The conclusion follows by taking in the weak definition of
as given in the statement of the theorem, to then conclude
, which is obviously non-negative a.e. This idea can be taken further in the setting of slightly more elaborate PDEs formulated over bounded open sets where the constant
may be negative, which the following result of mine shows.
Theorem 2. (A Generalisation) Let be a bounded open set. Consider a pair
of real constants such that
and
. Further, let
be a vector field for which
Suppose
is such that
on
in the sense that
, and
holds in
weakly, which is to say
for all with
a.e in
. Then
a.e in
.
Note: Here we define , while
denotes the Poincare constant associated with Poincare’s inequality on
.
Proof. Write where we let
and
. Then, by assumption we know that
and is non-negative a.e in
. Consequently, the weak interpretation of
implies
which simplifies to
Since we find
giving
By Poincare’s inequality on , which reads
for all
, we arrive at
or
Now, if , then we see immediately that
a.e in
and so
a.e in
, by virtue of Poincare’s inequality. And so,
which is non-negative a.e. On the other hand, if
we find by Poincare’s inequality,
Because , it follows that we must have
a.e in
once more. This completes the proof of the theorem.
Remark 1. Of course, in the above result we may replace with
without changing the conclusion. This result, together with the Lax-Milgram Theorem which one could use to prove a solution operator is well-defined, we can develop examples of quasilinear PDE such as
formulated over a bounded open set , with
- homogeneous Dirichlet boundary condition on
,
- essentially bounded vector field
as in Theorem 2,
- suitably negative
as given by Theorem 2, and
a nonlinear function,
for which the method of sub and super solutions applies to prove the existence of a weak solution.
Let be a matrix of measurable functions defined almost-everywhere over an open set
. If there exists a constant
such that
for all and almost every
, we’ll say
is
-coercive over
. Assume
is an essentially bounded function over
with
for some
. With this assumption, let’s proceed to generalise Theorem 2 to operators in divergence form given by
Theorem 3. Let be a bounded open set. Consider a triple
of real constants such that the matrix
is
-coercive over
and
. Further, assume
is a vector field for which
, and let
be an essentially bounded function over
with
. Suppose
is such that
on
in the sense that
, and that
holds in
weakly, which is to say
for all with
a.e in
. Then
a.e in
.
Proof. Write where we let
and
. Then, by assumption we know that
and is non-negative a.e in
. Consequently, the weak interpretation of
implies
which simplifies to
Since we find
By coercivity of we have
Therefore,
By Poincare’s inequality on , we arrive at
or
Since almost-everywhere in
, we find
and so Poincare’s inequality implies
But, it is assumed that the triple satisfies
. Thus, we see immediately
a.e in
and so
a.e in
, by virtue of Poincare’s inequality. Consequently,
which is non-negative a.e in
, as required.
Remark 2. In both results the conditions on the constants can be interpreted geometrically. In the first instance we have inequality constraints on that yield an unbounded region delineated by three straight lines in
:
,
and
. On the other hand, in the second result the inequality constraints on
define an unbounded region within the first quadrant of
with part of its boundary found in a plane passing through the origin with normal
. Notably, projecting this plane in the horizontal plane where
, we observe an unbounded region which contains the one given by the constraints on
in Theorem 2.
Copyright © 2020 Yohance Osborne