Sobolev spaces for planar domains

In mathematics, Sobolev spaces for planar domains are one of the principal techniques used in the theory of partial differential equations for solving the Dirichlet and Neumann boundary value problems for the Laplacian in a bounded domain in the plane with smooth boundary. The methods use the theory of bounded operators on Hilbert space. They can be used to deduce regularity properties of solutions and to solve the corresponding eigenvalue problems.

Sobolev spaces with boundary conditions

Let be a bounded domain with smooth boundary. Since is contained in a large square in, it can be regarded as a domain in by identifying opposite sides of the square. The theory of Sobolev spaces on can be found in, an account which is followed in several later textbooks such as and.
For an integer, the Sobolev space is defined as the closure of in the standard Sobolev space.

.
Vanishing properties on boundary: For the elements of are referred to as " functions on which vanish with their first derivatives on." In fact if agrees with a function in, then is in. Let be such that in the Sobolev norm, and set. Thus in. Hence for and,
Support properties: Let be the complement of and define restricted Sobolev spaces analogously for. Both sets of spaces have a natural pairing with. The Sobolev space for is the annihilator in the Sobolev space for of and that for is the annihilator of. In fact this is proved by locally applying a small translation to move the domain inside itself and then smoothing by a smooth convolution operator.
Further vanishing properties on the boundary: The characterization in terms of annihilators shows that lies in if it and its derivatives of order less than vanish on. In fact can be extended to by setting it to be on. This extension defines an element in using the formula for the norm
Duality: For, define to be the orthogonal complement of in. Let be the orthogonal projection onto, so that is the orthogonal projection onto. When, this just gives. If and, then
Approximation by smooth functions: The image of is dense in for. This is obvious for since the sum + is dense in. Density for follows because the image of is dense in and annihilates.
Canonical isometries: The operator gives an isometry of into and of onto. In fact the first statement follows because it is true on. That is an isometry on follows using the density of in : for we have:
Application to Dirichlet problem

Invertibility of

The operator defines an isomorphism between and. In fact it is a Fredholm operator of index. The kernel of in consists of constant functions and none of these except zero vanish on the boundary of. Hence the kernel of is and is invertible.
In particular the equation has a unique solution in for in.

Eigenvalue problem

Let be the operator on defined by
where is the inclusion of in and of in, both compact operators by Rellich's theorem. The operator is compact and self-adjoint with for all. By the spectral theorem, there is a complete orthonormal set of eigenfunctions in with
Since, lies in. Setting, the are eigenfunctions of the Laplacian:

Sobolev spaces without boundary condition

To determine the regularity properties of the eigenfunctions and solutions of
enlargements of the Sobolev spaces have to be considered. Let be the space of smooth functions on which with their derivatives extend continuously to. By Borel's lemma, these are precisely the restrictions of smooth functions on. The Sobolev space is defined to the Hilbert space completion of this space for the norm
This norm agrees with the Sobolev norm on so that can be regarded as a closed subspace of. Unlike, is not naturally a subspace of, but the map restricting smooth functions from to is continuous for the Sobolev norm so extends by continuity to a map.

Invariance under diffeomorphism: Any diffeomorphism between the closures of two smooth domains induces an isomorphism between the Sobolev space. This is a simple consequence of the chain rule for derivatives.
Extension theorem: The restriction of to the orthogonal complement of its kernel defines an isomorphism onto. The extension map is defined to be the inverse of this map: it is an isomorphism of onto the orthogonal complement of such that. On, it agrees with the natural inclusion map. Bounded extension maps of this kind from to were constructed first constructed by Hestenes and Lions. For smooth curves the Seeley extension theorem provides an extension which is continuous in all the Sobolev norms. A version of the extension which applies in the case where the boundary is just a Lipschitz curve was constructed by Calderón using singular integral operators and generalized by.
Restriction theorem: The restriction map is surjective with. This is an immediate consequence of the extension theorem and the support properties for Sobolev spaces with boundary condition.
Duality: is naturally the dual of H^−k₀. Again this is an immediate consequence of the restriction theorem. Thus the Sobolev spaces form a chain:
Sobolev embedding theorem: is contained in. This is an immediate consequence of the extension theorem and the Sobolev embedding theorem for.
Characterization: consists of in such that all the derivatives ∂^αf lie in for |α| ≤ k.Here the derivatives are taken within the chain of Sobolev spaces above. Since is weakly dense in, this condition is equivalent to the existence of functions f_α such that
Regularity theorem: If in has both derivatives and in then lies in. This is an immediate consequence of the characterization of above. In fact if this is true even when satisfied at the level of distributions: if there are functions g, h in such that = and = for φ in, then is in.
Rotations on an annulus: For an annulus, the extension map to is by construction equivariant with respect to rotations in the second variable,
Regularity for Dirichlet problem

Regularity for dual Dirichlet problem

If with in and in with, then lies in.
Take a decomposition with supported in and supported in a collar of the boundary. Standard Sobolev theory for can be applied to : elliptic regularity implies that it lies in and hence. lies in of a collar, diffeomorphic to an annulus, so it suffices to prove the result with a collar and replaced by
The proof proceeds by induction on, proving simultaneously the inequality
for some constant depending only on. It is straightforward to establish this inequality for, where by density can be taken to be smooth of compact support in :
The collar is diffeomorphic to an annulus. The rotational flow on the annulus induces a flow on the collar with corresponding vector field. Thus corresponds to the vector field. The radial vector field on the annulus is a commuting vector field which on the collar gives a vector field proportional to the normal vector field. The vector fields and commute.
The difference quotients can be formed for the flow. The commutators are second order differential operators from to. Their operators norms are uniformly bounded for near ; for the computation can be carried out on the annulus where the commutator just replaces the coefficients of by their difference quotients composed with. On the other hand, lies in, so the inequalities for apply equally well for :
The uniform boundedness of the difference quotients implies that lies in with
It follows that lies in where is the vector field
Moreover, satisfies a similar inequality to.
Let be the orthogonal vector field
It can also be written as for some smooth nowhere vanishing function on a neighbourhood of the collar.
It suffices to show that lies in. For then
so that and lie in and must lie in.
To check the result on, it is enough to show that and lie in. Note that
are vector fields. But then
with all terms on the right hand side in. Moreover, the inequalities for show that
Hence

Smoothness of eigenfunctions

It follows by induction from the regularity theorem for the dual Dirichlet problem that the eigenfunctions of in lie in. Moreover, any solution of with in and in must have in. In both cases by the vanishing properties, the eigenfunctions and vanish on the boundary of.

Solving the Dirichlet problem

The dual Dirichlet problem can be used to solve the Dirichlet problem:
By Borel's lemma is the restriction of a function in. Let be the smooth solution of with on. Then solves the Dirichlet problem. By the maximal principle, the solution is unique.

Application to smooth Riemann mapping theorem

The solution to the Dirichlet problem can be used to prove a strong form of the Riemann mapping theorem for simply connected domains with smooth boundary. The method also applies to a region diffeomorphic to an annulus. For multiply connected regions with smooth boundary have given a method for mapping the region onto a disc with circular holes. Their method involves solving the Dirichlet problem with a non-linear boundary condition. They construct a function such that:

is harmonic in the interior of ;
On we have:, where is the curvature of the boundary curve, is the derivative in the direction normal to and is constant on each boundary component.

gives a proof of the Riemann mapping theorem for a simply connected domain with smooth boundary. Translating if necessary, it can be assumed that. The solution of the Dirichlet problem shows that there is a unique smooth function on which is harmonic in and equals on. Define the Green's function by. It vanishes on and is harmonic on away from. The harmonic conjugate of is the unique real function on such that is holomorphic. As such it must satisfy the Cauchy–Riemann equations:
The solution is given by
where the integral is taken over any path in. It is easily verified that and exist and are given by the corresponding derivatives of. Thus is a smooth function on, vanishing at. By the Cauchy-Riemann is smooth on, holomorphic on and. The function is only defined up to multiples of, but the function
is a holomorphic on and smooth on. By construction, and for. Since has winding number, so too does. On the other hand, only for where there is a simple zero. So by the argument principle assumes every value in the unit disc,, exactly once and does not vanish inside. To check that the derivative on the boundary curve is non-zero amounts to computing the derivative of, i.e. the derivative of should not vanish on the boundary curve. By the Cauchy-Riemann equations these tangential derivative are up to a sign the directional derivative in the direction of the normal to the boundary. But vanishes on the boundary and is strictly negative in since. The Hopf lemma implies that the directional derivative of in the direction of the outward normal is strictly positive. So on the boundary curve, has nowhere vanishing derivative. Since the boundary curve has winding number one, defines a diffeomorphism of the boundary curve onto the unit circle. Accordingly, is a smooth diffeomorphism, which restricts to a holomorphic map and a smooth diffeomorphism between the boundaries.
Similar arguments can be applied to prove the Riemann mapping theorem for a doubly connected domain bounded by simple smooth curves and . By translating we can assume 1 lies on the outer boundary. Let be the smooth solution of the Dirichlet problem with on the outer curve and on the inner curve. By the maximum principle for in and so by the Hopf lemma the normal derivatives of are negative on the outer curve and positive on the inner curve. The integral of over the boundary is zero by Stoke's theorem so the contributions from the boundary curves cancel. On the other hand, on each boundary curve the contribution is the integral of the normal derivative along the boundary. So there is a constant such that satisfies
on each boundary curve. The harmonic conjugate of can again be defined by
and is well-defined up to multiples of. The function
is smooth on and holomorphic in. On the outer curve and on the inner curve. The tangential derivatives on the outer curves are nowhere vanishing by the Cauchy-Riemann equations, since the normal derivatives are nowhere vanishing. The normalization of the integrals implies that restricts to a diffeomorphism between the boundary curves and the two concentric circles. Since the images of outer and inner curve have winding number and about any point in the annulus, an application of the argument principle implies that assumes every value within the annulus exactly once; since that includes multiplicities, the complex derivative of is nowhere vanishing in. This is a smooth diffeomorphism of onto the closed annulus, restricting to a holomorphic map in the interior and a smooth diffeomorphism on both boundary curves.

Trace map

The restriction map extends to a continuous map for. In fact
so the Cauchy–Schwarz inequality yields
where, by the integral test,
The map is onto since a continuous extension map can be constructed from to. In fact set
where
Thus. If g is smooth, then by construction Eg restricts to g on 1 × T. Moreover, E is a bounded linear map since
It follows that there is a trace map τ of H^k onto H^{k − ½}. Indeed, take a tubular neighbourhood of the boundary and a smooth function ψ supported in the collar and equal to 1 near the boundary. Multiplication by ψ carries functions into H^k of the collar, which can be identified with H^k of an annulus for which there is a trace map. The invariance under diffeomorphims of the half-integer Sobolev spaces on the circle follows from the fact that an equivalent norm on H^{k + ½} is given by
It is also a consequence of the properties of τ and E. In fact any diffeomorphism f of T induces a diffeomorphism F of T² by acting only on the second factor. Invariance of H^k under the induced map F* therefore implies invariance of H^{k − ½} under f*, since f* = τ ∘ F* ∘ E.
Further consequences of the trace theorem are the two exact sequences
and
where the last map takes f in H² to f|_∂Ω and ∂_nf|_∂Ω. There are generalizations of these sequences to H^k involving higher powers of the normal derivative in the trace map:
The trace map to takes f to

Abstract formulation of boundary value problems

The Sobolev space approach to the Neumann problem cannot be phrased quite as directly as that for the Dirichlet problem. The main reason is that for a function in, the normal derivative cannot be a priori defined at the level of Sobolev spaces. Instead an alternative formulation of boundary value problems for the Laplacian on a bounded region in the plane is used. It employs Dirichlet forms, sesqulinear bilinear forms on, or an intermediate closed subspace. Integration over the boundary is not involved in defining the Dirichlet form. Instead, if the Dirichlet form satisfies a certain positivity condition, termed coerciveness, solution can be shown to exist in a weak sense, so-called "weak solutions". A general regularity theorem than implies that the solutions of the boundary value problem must lie in, so that they are strong solutions and satisfy boundary conditions involving the restriction of a function and its normal derivative to the boundary. The Dirichlet problem can equally well be phrased in these terms, but because the trace map is already defined on, Dirichlet forms do not need to be mentioned explicitly and the operator formulation is more direct. A unified discussion is given in and briefly summarised below. It is explained how the Dirichlet problem, as discussed above, fits into this framework. Then a detailed treatment of the Neumann problem from this point of view is given following.
The Hilbert space formulation of boundary value problems for the Laplacian on a bounded region in the plane proceeds from the following data:

A closed subspace.
A Dirichlet form for given by a bounded Hermitian bilinear form defined for such that for.
is coercive, i.e. there is a positive constant and a non-negative constant such that.

A weak solution of the boundary value problem given initial data in is a function u satisfying
for all g.
For both the Dirichlet and Neumann problem
For the Dirichlet problem. In this case
By the trace theorem the solution satisfies in.
For the Neumann problem is taken to be.

Application to Neumann problem

The classical Neumann problem on consists in solving the boundary value problem
Green's theorem implies that for
Thus if in and satisfies the Neumann boundary conditions,, and so is constant in.
Hence the Neumann problem has a unique solution up to adding constants.
Consider the Hermitian form on defined by
Since is in duality with, there is a unique element in such that
The map is an isometry of onto, so in particular is bounded.
In fact
So
On the other hand, any in defines a bounded conjugate-linear form on sending to. By the Riesz–Fischer theorem, there exists such that
Hence and so is surjective. Define a bounded linear operator on by
where is the map, a compact operator, and is the map, its adjoint, so also compact.
The operator has the following properties:

is a contraction since it is a composition of contractions
is compact, since and are compact by Rellich's theorem
is self-adjoint, since if, they can be written with so
has positive spectrum and kernel, for
There is a complete orthonormal basis of consisting of eigenfunctions of. Thus
The eigenfunctions all lie in since the image of lies in.
The are eigenfunctions of with
The eigenvalue occurs with multiplicity one and corresponds to the constant function. For if satisfies, then
Regularity for Neumann problem

Weak solutions are strong solutions

The first main regularity result shows that a weak solution expressed in terms of the operator and the Dirichlet form is a strong solution in the classical sense, expressed in terms of the Laplacian and the Neumann boundary conditions. Thus if with, then, satisfies and. Moreover, for some constant independent of,
Note that
since
Take a decomposition with supported in and supported in a collar of the boundary.
The operator is characterized by
Then
so that
The function and are treated separately, being essentially subject to usual elliptic regularity considerations for interior points while requires special treatment near the boundary using difference quotients. Once the strong properties are established in terms of and the Neumann boundary conditions, the "bootstrap" regularity results can be proved exactly as for the Dirichlet problem.

Interior estimates

The function lies in where is a region with closure in. If and
By continuity the same holds with replaced by and hence. So
Hence regarding as an element of,. Hence. Since for, we have. Moreover,
so that

Boundary estimates

The function is supported in a collar contained in a tubular neighbourhood of the boundary. The difference quotients can be formed for the flow and lie in, so the first inequality is applicable:
The commutators are uniformly bounded as operators from to. This is equivalent to checking the inequality
for, smooth functions on a collar. This can be checked directly on an annulus, using invariance of Sobolev spaces under dffeomorphisms and the fact that for the annulus the commutator of with a differential operator is obtained by applying the difference operator to the coefficients after having applied to the function:
Hence the difference quotients are uniformly bounded, and therefore with
Hence and satisfies a similar inequality to :
Let be the orthogonal vector field. As for the Dirichlet problem, to show that, it suffices to show that.
To check this, it is enough to show that. As before
are vector fields. On the other hand, for, so that and define the same distribution on. Hence
Since the terms on the right hand side are pairings with functions in, the regularity criterion shows that. Hence since both terms lie in and have the same inner products with 's.
Moreover, the inequalities for show that
Hence
It follows that. Moreover,

Neumann boundary conditions

Since, Green's theorem is applicable by continuity. Thus for,
Hence the Neumann boundary conditions are satisfied:
where the left hand side is regarded as an element of and hence.

Regularity of strong solutions

The main result here states that if and, then and
for some constant independent of.
Like the corresponding result for the Dirichlet problem, this is proved by induction on. For, is also a weak solution of the Neumann problem so satisfies the estimate above for. The Neumann boundary condition can be written
Since commutes with the vector field corresponding to the period flow, the inductive method of proof used for the Dirichlet problem works equally well in this case: for the difference quotients preserve the boundary condition when expressed in terms of.

Smoothness of eigenfunctions

It follows by induction from the regularity theorem for the Neumann problem that the eigenfunctions of in lie in. Moreover, any solution of with in and in must have in. In both cases by the vanishing properties, the normal derivatives of the eigenfunctions and vanish on.

Solving the associated Neumann problem

The method above can be used to solve the associated Neumann boundary value problem:
By Borel's lemma is the restriction of a function. Let be a smooth function such that near the boundary. Let be the solution of with. Then solves the boundary value problem.

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Sobolev spaces for planar domains

Sobolev spaces with boundary conditions

Application to Dirichlet problem

Invertibility of

Eigenvalue problem

Sobolev spaces without boundary condition

Regularity for Dirichlet problem

Regularity for dual Dirichlet problem

Smoothness of eigenfunctions

Solving the Dirichlet problem

Application to smooth Riemann mapping theorem

Trace map

Abstract formulation of boundary value problems

Application to Neumann problem

Regularity for Neumann problem

Weak solutions are strong solutions

Interior estimates

Boundary estimates

Neumann boundary conditions

Regularity of strong solutions

Smoothness of eigenfunctions

Solving the associated Neumann problem