Weak formulations are an important tool for the analysis of mathematical equations that permit the transfer of concepts of
linear algebra to solve problems in other fields such as
partial differential equations. In a weak formulation, an equation is no longer required to hold absolutely (and this is not even well defined) and has instead
weak solutions only with respect to certain "test vectors" or "
test functions".
We introduce weak formulations by a few examples and present the main theorem for the solution, the
Lax–Milgram theorem.
General concept
Let
be a
Banach space. We want to find the solution
of the equation
,
where
and
, the dual of
.
Calculus of variations tells us that this is equivalent to finding
such that
for all
holds:
.
Here, we call
a test vector or test function.
We bring this into the generic form of a weak formulation, namely, find
such that
by defining the
bilinear formSince this is very abstract, let us follow this by some examples.
Example 1: linear system of equations
Now, let
and
a linear mapping. Then, the weak formulation of the equation
involves finding
such that for all
the following equation holds:
where
denotes an inner product.
Since
is a linear mapping, it is sufficient to test with basis vectors, we get
.
Actually, expanding
, we obtain the matrix form of the equation
where
and
.
The bilinear form associated to this weak formulation is
Example 2: Poisson's equation
Our aim is to solve
Poisson's equation,
on a domain
with
on its boundary,
and we want to specify the solution space
later. We will use the
-scalar product
to derive our weak formulation. Then, testing with differentiable functions
, we get
.
We can make the left side of this equation more symmetric by
integration by parts using
Green's identity:
This is what is usually called the weak formulation of
Poisson's equation; what's missing is the space
. Well, this a bit tricky and way beyond the scope of this article. The space must allow us to write down this equation. Therefore, we should require that the derivatives of functions in this space are square integrable. Now, there is actually the
Sobolev space of functions with
weak derivatives in
and with zero boundary conditions, which fulfills this purpose.
We obtain the generic form by assigning
and
The Lax–Milgram theorem
This is a formulation of the
Lax–Milgram theorem which relies on properties of the symmetric part of the
bilinear form. It is not the most general form.
Let
be a
Hilbert space and
a
bilinear form on
, which is
- bounded: and
- coercive:
Then, for any
, there is a unique solution
to the equation
and it holds
Application to example 1
Here, application of the Lax–Milgram theorem is definitely overkill, but we still can use it and give this problem the same structure as the others have.
Additionally, we get the estimate
,
where
is the minimal real part of an eigenvalue of
.
Application to Example 2
Here, as we mentioned above, we choose
with the norm
where the norm on the right is the
-norm on
(this provides a true norm on
by the
Poincaré inequality).
But, we see that
and by
Cauchy-Schwarz inequality .
Therefore, for any
, there is a unique solution
of
Poisson's equation and we have the estimate
See also