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.

## Contents

* 1 Sobolev spaces with boundary conditions
* 2 Application to Dirichlet problem
* 2.1 Invertibility of ∆
* 2.2 Eigenvalue problem
* 3 Sobolev spaces without boundary condition
* 4 Regularity for Dirichlet problem
* 4.1 Regularity for dual Dirichlet problem
* 4.2 Smoothness of eigenfunctions
* 4.3 Solving the Dirichlet problem
* 5 Application to smooth Riemann mapping theorem
* 6 Trace map
* 7 Abstract formulation of boundary value problems
* 8 Application to Neumann problem
* 9 Regularity for Neumann problem
* 9.1 Weak solutions are strong solutions
* 9.1.1 Interior estimates
* 9.1.2 Boundary estimates
* 9.1.3 Neumann boundary conditions
* 9.2 Regularity of strong solutions
* 9.2.1 Smoothness of eigenfunctions
* 9.2.2 Solving the associated Neumann problem
* 10 Notes
* 11 References

## Sobolev spaces with boundary conditions

Let Ω ⊂ R2 be a bounded domain with smooth boundary. Since Ω is contained in a large square in R2, it can be regarded as a domain in T2 by identifying opposite sides of the square. The theory of Sobolev spaces on T2 can be found in (Bers John), an account which is followed in several later textbooks such as (Warner 1983) and (Griffiths Harris).

For k an integer, the (restricted) Sobolev space Hk0(Ω) is defined as the closure of C∞c(Ω) in the standard Sobolev space Hk(T2).

* H00(Ω) = L2(Ω).
* Vanishing properties on boundary: For k > 0 the elements of Hk0(Ω) are referred to as "L2 functions on Ω which vanish with their first k − 1 derivatives on ∂Ω."[1] In fact if  f ∈ Ck(Ω) agrees with a function in Hk0(Ω), then g = ∂ αf is in C1. Let  fn ∈ C∞c(Ω) be such that  fn → f in the Sobolev norm, and set gn = ∂ αfn . Thus gn → g in H10(Ω). Hence for h ∈ C∞(T2) and D = a∂x \+ b∂y,

∬Ω(g(Dh)+(Dg)h)dxdy=limn->0∬Ω(g(Dhn)+(Dg)hn)dxdy=0.

By Green's theorem this implies

∫∂Ωgk=0,

where

k=hcos⁡(𝐧⋅(a,b)),

with n the unit normal to the boundary. Since such k form a dense subspace of L2(Ω), it follows that g = 0 on ∂Ω.

* Support properties: Let Ωc be the complement of Ω and define restricted Sobolev spaces analogously for Ωc. Both sets of spaces have a natural pairing with C∞(T2). The Sobolev space for Ω is the annihilator in the Sobolev space for T2 of C∞c(Ωc) and that for Ωc is the annihilator of C∞c(Ω).[2] 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.

Suppose g in Hk(T2) annihilates C∞c(Ωc). By compactness, there are finitely many open sets U0, U1, ... , UN covering Ω such that the closure of U0 is disjoint from ∂Ω and each Ui is an open disc about a boundary point zi such that in Ui small translations in the direction of the normal vector ni carry Ω into Ω. Add an open UN+1 with closure in Ωc to produce a cover of T2 and let ψi be a partition of unity subordinate to this cover. If translation by n is denoted by λn, then the functions

gt=ψ0g+∑i=1Nψnλtnig

tend to g as t decreases to 0 and still lie in the annihilator, indeed they are in the annihilator for a larger domain than Ωc, the complement of which lies in Ω. Convolving by smooth functions of small support produces smooth approximations in the annihilator of a slightly smaller domain still with complement in Ω. These are necessarily smooth functions of compact support in Ω.

* Further vanishing properties on the boundary: The characterization in terms of annihilators shows that  f ∈ Ck(Ω) lies in H k0(Ω) if (and only if) it and its derivatives of order less than k vanish on ∂Ω.[3] In fact  f can be extended to T2 by setting it to be 0 on Ωc. This extension F defines an element in Hk(T2) using the formula for the norm

‖h‖(k)2=∑j=0k(kj)‖∂xj∂yk−jh‖2.

Moreover F satisfies (F, g) = 0 for g in C∞c(Ωc).

* Duality: For k ≥ 0, define H−k(Ω) to be the orthogonal complement of H−k0(Ωc) in H−k(T2). Let Pk be the orthogonal projection onto H−k(Ω), so that Qk = I − Pk is the orthogonal projection onto H−k0(Ωc). When k = 0, this just gives H0(Ω) = L2(Ω). If  f ∈ Hk0(Ωc) and g ∈ H−k(T2), then

(f,g)=(f,Pkg).

This implies that under the pairing between Hk(T2) and H−k(T2), Hk0(Ωc) and H−k(Ω) are each other's duals.

* Approximation by smooth functions: The image of C∞c(Ω) is dense in H−k(Ω) for k ≤ 0. This is obvious for k = 0 since the sum C∞c(Ω) \+ C∞c(Ωc) is dense in L2(T2). Density for k < 0 follows because the image of L2(T2) is dense in H−k(T2) and Pk annihilates C∞c(Ωc).
* Canonical isometries: The operator (I \+ ∆)k gives an isometry of H 2k0(Ω) into H0(Ω) and of H k0(Ω) onto H−k(Ω). In fact the first statement follows because it is true on T2. That (I \+ ∆)k is an isometry on H k0(Ω) follows using the density of C∞c(Ω) in H−k(Ω): for  f, g ∈ C∞c(Ω) we have:

‖Pk(I+Δ)kf‖(−k)=sup‖g‖(−k)=1|((I+Δ)kf,g)(−k)|=sup‖g‖(−k)=1|(f,g)|=‖f‖(k).

Since the adjoint map between the duals can by identified with this map, it follows that (I \+ ∆)k is a unitary map.

## Application to Dirichlet problem

### Invertibility of ∆

The operator ∆ defines an isomorphism between H10(Ω) and H−1(Ω). In fact it is a Fredholm operator of index 0. The kernel of ∆ in H1(T2) consists of constant functions and none of these except zero vanish on the boundary of Ω. Hence the kernel of H10(Ω) is (0) and ∆ is invertible.

In particular the equation ∆f = g has a unique solution in H10(Ω) for g in H−1(Ω).

### Eigenvalue problem

Let T be the operator on L2(Ω) defined by

T=R1Δ−1R0,

where R0 is the inclusion of L2(Ω) in H−1(Ω) and R1 of H10(Ω) in L2(Ω), both compact operators by Rellich's theorem. The operator T is compact and self-adjoint with (Tf, f ) > 0 for all f. By the spectral theorem, there is a complete orthonormal set of eigenfunctions fn in L2(Ω) with

Tfn=μnfn,μn>0,μn->0.

Since μn > 0, fn lies in H10(Ω). Setting λn = μ−n, the fn are eigenfunctions of the Laplacian:

Δfn=λnfn,λn>0,λn->∞.

## Sobolev spaces without boundary condition

To determine the regularity properties of the eigenfunctions  fn and solutions of

Δf=u,u∈H−1(Ω),f∈H01(Ω),

enlargements of the Sobolev spaces Hk0(Ω) have to be considered. Let C∞(Ω−) be the space of smooth functions on Ω which with their derivatives extend continuously to Ω. By Borel's lemma, these are precisely the restrictions of smooth functions on T2. The Sobolev space Hk(Ω) is defined to the Hilbert space completion of this space for the norm

‖f‖(k)2=∑j=0k(kj)‖∂xj∂yk−jf‖2.

This norm agrees with the Sobolev norm on C∞c(Ω) so that Hk0(Ω) can be regarded as a closed subspace of Hk(Ω). Unlike Hk0(Ω), Hk(Ω) is not naturally a subspace of Hk(T2), but the map restricting smooth functions from T2 to Ω is continuous for the Sobolev norm so extends by continuity to a map ρk : Hk(T2) → Hk(Ω).

* 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 ρk to the orthogonal complement of its kernel defines an isomorphism onto Hk(Ω). The extension map Ek is defined to be the inverse of this map: it is an isomorphism (not necessarily norm preserving) of Hk(Ω) onto the orthogonal complement of Hk0(Ωc) such that ρk ∘ Ek = I. On C∞c(Ω), it agrees with the natural inclusion map. Bounded extension maps Ek of this kind from Hk(Ω) to Hk(T2) 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 (Stein 1970).

It is sufficient to construct an extension E for a neighbourhood of a closed annulus, since a collar around the boundary is diffeomorphic to an annulus I × T with I a closed interval in T. Taking a smooth bump function ψ with 0 ≤ ψ ≤ 1, equal to 1 near the boundary and 0 outside the collar, E(ψf ) + (1 − ψ) f will provide an extension on Ω. On the annulus, the problem reduces to finding an extension for Ck( I ) in Ck(T). Using a partition of unity the task of extending reduces to a neighbourhood of the end points of I. Assuming 0 is the left end point, an extension is given locally by

E(f)=∑m=0kamf(−xm+1).

Matching the first derivatives of order k or less at 0, gives

∑m=0k(−m−1)−kam=1.

This matrix equation is solvable because the determinant is non-zero by Vandermonde's formula. It is straightforward to check that the formula for E( f ), when appropriately modified with bump functions, leads to an extension which is continuous in the above Sobolev norm.[4]

* Restriction theorem: The restriction map ρk is surjective with ker ρk = Hk0(Ωc). This is an immediate consequence of the extension theorem and the support properties for Sobolev spaces with boundary condition.
* Duality: Hk(Ω) is naturally the dual of H−k0(Ω). Again this is an immediate consequence of the restriction theorem. Thus the Sobolev spaces form a chain:

⋯⊂H2(Ω)⊂H1(Ω)⊂H0(Ω)⊂H0−1(Ω)⊂H0−2(Ω)⊂⋯

The differentiation operators ∂x, ∂y carry each Sobolev space into the larger one with index 1 less.

* Sobolev embedding theorem: Hk+2(Ω) is contained in Ck(Ω−). This is an immediate consequence of the extension theorem and the Sobolev embedding theorem for Hk+2(T2).
* Characterization: Hk(Ω) consists of  f in L2(Ω) = H0(Ω) such that all the derivatives ∂αf lie in L2(Ω) for |α| ≤ k. Here the derivatives are taken within the chain of Sobolev spaces above.[5] Since C∞c(Ω) is weakly dense in Hk(Ω), this condition is equivalent to the existence of L2 functions fα such that

(fα,φ)=(−1)|α|(f,∂αφ),|α|≤k,φ∈Cc∞(Ω).

To prove the characterization, note that if  f is in Hk(Ω), then ∂αf lies in Hk−|α|(Ω) and hence in H0(Ω) = L2(Ω). Conversely the result is well known for the Sobolev spaces Hk(T2): the assumption implies that the (∂x − i∂y)k f is in L2(T2) and the corresponding condition on the Fourier coefficients of  f shows that  f lies in Hk(T2). Similarly the result can be proved directly for an annulus [−δ, δ] × T. In fact by the argument on T2 the restriction of  f to any smaller annulus [−δ',δ'] × T lies in Hk: equivalently the restriction of the function  fR (x, y) = f (Rx, y) lies in Hk for R > 1. On the other hand ∂α fR → ∂α f in L2 as R → 1, so that  f must lie in Hk. The case for a general domain Ω reduces to these two cases since  f can be written as  f = ψf \+ (1 − ψ) f with ψ a bump function supported in Ω such that 1 − ψ is supported in a collar of the boundary.

* Regularity theorem: If  f in L2(Ω) has both derivatives ∂x f and ∂y f in Hk(Ω) then  f lies in Hk+1(Ω). This is an immediate consequence of the characterization of Hk(Ω) above. In fact if this is true even when satisfied at the level of distributions: if there are functions g, h in Hk(Ω) such that (g,φ) = (f, φx) and (h,φ) = (f,φy) for φ in C∞c(Ω), then  f is in Hk+1(Ω).
* Rotations on an annulus: For an annulus I × T, the extension map to T2 is by construction equivariant with respect to rotations in the second variable,

Rtf(x,y)=f(x,y+t).

On T2 it is known that if  f is in Hk, then the difference quotient δh f = h−1(Rh f − f ) → ∂y f in Hk−1; if the difference quotients are bounded in Hk then ∂yf lies in Hk. Both assertions are consequences of the formula:

δhf^(m,n)=h−1(e−ihn−1)f^(m,n)=−∫01ine−inhtdtf^(m,n).

These results on T2 imply analogous results on the annulus using the extension.

## Regularity for Dirichlet problem

### Regularity for dual Dirichlet problem

If ∆u = f with u in H10(Ω) and f in Hk−1(Ω) with k ≥ 0, then u lies in Hk+1(Ω).

Take a decomposition u = ψu \+ (1 − ψ)u with ψ supported in Ω and 1 − ψ supported in a collar of the boundary. Standard Sobolev theory for T2 can be applied to ψu: elliptic regularity implies that it lies in Hk+1(T2) and hence Hk+1(Ω). v = (1 − ψ)u lies in H10 of a collar, diffeomorphic to an annulus, so it suffices to prove the result with Ω a collar and ∆ replaced by

Δ1=Δ−[Δ,ψ]=Δ+(p∂x+q∂y−Δψ)=Δ+X.

The proof[6] proceeds by induction on k, proving simultaneously the inequality

‖u‖(k+1)≤C‖Δ1u‖(k−1)+C‖u‖(k),

for some constant C depending only on k. It is straightforward to establish this inequality for k = 0, where by density u can be taken to be smooth of compact support in Ω:

‖u‖(1)2=|(Δu,u)|≤|(Δ1u,u)|+|(Xu,u)|≤‖Δ1u‖(−1)‖u‖(1)+C′‖u‖(1)‖u‖(0).

The collar is diffeomorphic to an annulus. The rotational flow Rt on the annulus induces a flow St on the collar with corresponding vector field Y = r∂x \+ s∂y. Thus Y corresponds to the vector field ∂θ. The radial vector field on the annulus r∂r is a commuting vector field which on the collar gives a vector field Z = p∂x \+ q∂y proportional to the normal vector field. The vector fields Y and Z commute.

The difference quotients δhu can be formed for the flow St. The commutators [δh, ∆1] are second order differential operators from Hk+1(Ω) to Hk−1(Ω). Their operators norms are uniformly bounded for h near 0; for the computation can be carried out on the annulus where the commutator just replaces the coefficients of ∆1 by their difference quotients composed with Sh. On the other hand, v = δhu lies in H10(Ω), so the inequalities for u apply equally well for v:

‖δhu‖(k+1)≤C‖Δ1δhu‖(k−1)+C‖δhu‖(k)≤C‖δhΔ1u‖(k−1)+C‖[δh,Δ1]u‖(k−1)+C‖δhu‖(k)≤C‖Δ1u‖(k)+C′‖u‖(k+1).

The uniform boundedness of the difference quotients δhu implies that Yu lies in Hk+1(Ω) with

‖Yu‖(k+1)≤C‖Δ1u‖(k)+C′‖u‖(k+1).

It follows that Vu lies in Hk+1(Ω) where V is the vector field

V=Yr2+s2=a∂x+b∂y,a2+b2=1.

Moreover, Vu satisfies a similar inequality to Yu.

‖Vu‖(k+1)≤C′′(‖Δ1u‖(k)+‖u‖(k+1)).

Let W be the orthogonal vector field

W=−b∂x+a∂y.

It can also be written as ξZ for some smooth nowhere vanishing function ξ on a neighbourhood of the collar.

It suffices to show that Wu lies in Hk+1(Ω). For then

(V±iW)u=(a∓ib)(∂x±i∂y)u,

so that ∂xu and ∂yu lie in Hk+1(Ω) and u must lie in Hk+2(Ω).

To check the result on Wu, it is enough to show that VWu and W2u lie in Hk(Ω). Note that

A=Δ−V2−W2,B=[V,W],

are vector fields. But then

W2u=Δu−V2u−Au,VWu=WVu+Bu,

with all terms on the right hand side in Hk(Ω). Moreover, the inequalities for Vu show that

‖Wu‖(k+1)≤C(‖VWu‖(k)+‖W2u‖(k))≤C‖(Δ−V2−A)u‖(k)+C‖(WV+B)u‖(k)≤C1‖Δ1u‖(k)+C1‖u‖(k+1).

Hence

‖u‖(k+2)≤C(‖Vu‖(k+1)+‖Wu‖(k+1))≤C′‖Δ1u‖(k)+C′‖u‖(k+1).

### Smoothness of eigenfunctions

It follows by induction from the regularity theorem for the dual Dirichlet problem that the eigenfunctions of ∆ in H10(Ω) lie in C∞(Ω−). Moreover, any solution of ∆u = f with f in C∞(Ω−) and u in H10(Ω) must have u in C∞(Ω−). In both cases by the vanishing properties, the eigenfunctions and u vanish on the boundary of Ω.

### Solving the Dirichlet problem

The dual Dirichlet problem can be used to solve the Dirichlet problem:

{Δf|Ω=0f|∂Ω=gg∈C∞(∂Ω)

By Borel's lemma g is the restriction of a function G in C∞(Ω−). Let F be the smooth solution of ∆F = ∆G with F = 0 on ∂Ω. Then f = G − F solves the Dirichlet problem. By the maximal principle, the solution is unique.[7]

## 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.[8] For multiply connected regions with smooth boundary (Schiffer Hawley) 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 g such that:

* g is harmonic in the interior of Ω;
* On ∂Ω we have: ∂ng = κ − KeG, where κ is the curvature of the boundary curve, ∂n is the derivative in the direction normal to ∂Ω and K is constant on each boundary component.

(Taylor 2011) gives a proof of the Riemann mapping theorem for a simply connected domain Ω with smooth boundary. Translating if necessary, it can be assumed that 0 ∈ Ω. The solution of the Dirichlet problem shows that there is a unique smooth function U(z) on Ω which is harmonic in Ω and equals −log|z| on ∂Ω. Define the Green's function by G(z) = log|z| + U(z). It vanishes on ∂Ω and is harmonic on Ω away from 0. The harmonic conjugate V of U is the unique real function on Ω such that U \+ iV is holomorphic. As such it must satisfy the Cauchy–Riemann equations:

Ux=−Vy,Uy=Vx.

The solution is given by

V(z)=∫0z−Uydx+Vxdy,

where the integral is taken over any path in Ω. It is easily verified that Vx and Vy exist and are given by the corresponding derivatives of U. Thus V is a smooth function on Ω, vanishing at 0. By the Cauchy-Riemann  f = U \+ iV is smooth on Ω, holomorphic on Ω and  f (0) = 0. The function H = arg z \+ V(z) is only defined up to multiples of 2π, but the function

F(z)=eG(z)+iH(z)=zef(z)

is a holomorphic on Ω and smooth on Ω. By construction, F(0) = 0 and |F(z)| = 1 for z ∈ ∂Ω. Since z has winding number 1, so too does F(z). On the other hand, F(z) = 0 only for z = 0 where there is a simple zero. So by the argument principle F assumes every value in the unit disc, D, exactly once and F′ does not vanish inside Ω. To check that the derivative on the boundary curve is non-zero amounts to computing the derivative of eiH, i.e. the derivative of H 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 G vanishes on the boundary and is strictly negative in Ω since |F| = eG. The Hopf lemma implies that the directional derivative of G in the direction of the outward normal is strictly positive. So on the boundary curve, F has nowhere vanishing derivative. Since the boundary curve has winding number one, F defines a diffeomorphism of the boundary curve onto the unit circle. Accordingly, F : Ω → D is a smooth diffeomorphism, which restricts to a holomorphic map Ω → D and a smooth diffeomorphism between the boundaries.

Similar arguments can be applied to prove the Riemann mapping theorem for a doubly connected domain Ω bounded by simple smooth curves Ci (the inner curve) and Co (the outer curve). By translating we can assume 1 lies on the outer boundary. Let u be the smooth solution of the Dirichlet problem with U = 0 on the outer curve and −1 on the inner curve. By the maximum principle 0 < u(z) < 1 for z in Ω and so by the Hopf lemma the normal derivatives of u are negative on the outer curve and positive on the inner curve. The integral of −uydx \+ uydx 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 c > 0 such that U = cu satisfies

∫C(−Uydx+Uxdy)=2π

on each boundary curve. The harmonic conjugate V of U can again be defined by

V(z)=∫1z−uydx+uxdy

and is well-defined up to multiples of 2π. The function

F(z)=eU(z)+iV(z)

is smooth on Ω and holomorphic in Ω. On the outer curve |F| = 1 and on the inner curve |F| = e−c = r < 1. 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 F restricts to a diffeomorphism between the boundary curves and the two concentric circles. Since the images of outer and inner curve have winding number 1 and 0 about any point in the annulus, an application of the argument principle implies that F assumes every value within the annulus r < |z| < 1 exactly once; since that includes multiplicities, the complex derivative of F is nowhere vanishing in Ω. This F is a smooth diffeomorphism of Ω onto the closed annulus r ≤ |z| ≤ 1, restricting to a holomorphic map in the interior and a smooth diffeomorphism on both boundary curves.

## Trace map

The restriction map τ : C∞(T2) → C∞(T) = C∞(1 × T) extends to a continuous map Hk(T2) → Hk − ½(T) for k ≥ 1.[9] In fact

τf^(n)=∑mf^(m,n),

so the Cauchy–Schwarz inequality yields

|τf^(n)|2(1+n2)k−12≤(∑m(1+n2)k−12(1+m2+n2)k)(∑m|f^(m,n)|2(1+m2+n2)k)≤Ck∑m|f^(m,n)|2(1+m2+n2)k,

where, by the integral test,

Ck=supn∑m(1+n2)k−12(1+m2+n2)k<∞,ck=infn∑m(1+n2)k−12(1+m2+n2)k>0.

The map τ is onto since a continuous extension map E can be constructed from Hk − ½(T) to Hk(T2).[10][11] In fact set

Eg^(m,n)=λn−1g^(n)(1+n2)k−12(1+n2+m2)k,

where

λn=∑m(1+n2)k−12(1+m2+n2)k.

Thus ck < λn < Ck. If g is smooth, then by construction Eg restricts to g on 1 × T. Moreover, E is a bounded linear map since

‖Eg‖(k)2=∑m,n|Eg^(m,n)|2(1+m2+n2)≤ck−2∑m,n|g^(n)|2(1+n2)2k−1(1+m2+n2)k≤ck−2Ck‖g‖k−122.

It follows that there is a trace map τ of Hk(Ω) onto Hk − ½(∂Ω). 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 Hk of the collar, which can be identified with Hk of an annulus for which there is a trace map. The invariance under diffeomorphisms (or coordinate change) of the half-integer Sobolev spaces on the circle follows from the fact that an equivalent norm on Hk \+ ½(T) is given by[12]

‖f‖[k+12]2=‖f‖(k)2+∫02π∫02π|f(k)(s)−f(k)(t)|2|eis−eit|2dsdt.

It is also a consequence of the properties of τ and E (the "trace theorem").[13] In fact any diffeomorphism f of T induces a diffeomorphism F of T2 by acting only on the second factor. Invariance of Hk(T2) under the induced map F* therefore implies invariance of Hk − ½(T) under f*, since f* = τ ∘ F* ∘ E.

Further consequences of the trace theorem are the two exact sequences[14][15]

(0)->H01(Ω)->H1(Ω)->H12(∂Ω)->(0)

and

(0)->H02(Ω)->H2(Ω)->H32(∂Ω)⊕H12(∂Ω)->(0),

where the last map takes f in H2(Ω) to f|∂Ω and ∂nf|∂Ω. There are generalizations of these sequences to Hk(Ω) involving higher powers of the normal derivative in the trace map:

(0)->H0k(Ω)->Hk(Ω)->⨁j=1kHj−12(∂Ω)->(0).

The trace map to Hj − ½(∂Ω) takes f to ∂k − jnf |∂Ω

## 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 f in H1(Ω), the normal derivative ∂nf |∂Ω cannot be a priori defined at the level of Sobolev spaces. Instead an alternative formulation of boundary value problems for the Laplacian Δ on a bounded region Ω in the plane is used. It employs Dirichlet forms, sesqulinear bilinear forms on H1(Ω), H10(Ω) 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 H2(Ω), 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 f |∂Ω is already defined on H1(Ω), Dirichlet forms do not need to be mentioned explicitly and the operator formulation is more direct. A unified discussion is given in (Folland 1995) 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 (Taylor 2011).

The Hilbert space formulation of boundary value problems for the Laplacian Δ on a bounded region Ω in the plane proceeds from the following data:[16]

* A closed subspace H10(Ω) ⊆ H ⊆ H1(Ω).
* A Dirichlet form for Δ given by a bounded Hermitian bilinear form D( f, g) defined for f, g ∈ H1(Ω) such that D( f, g) = (∆f, g) for f, g ∈ H10(Ω).
* D is coercive, i.e. there is a positive constant C and a non-negative constant λ such that D( f, f ) ≥ C ( f, f )(1) − λ( f, f ).

A weak solution of the boundary value problem given initial data f in L2(Ω) is a function u satisfying

D(f,g)=(u,g)

for all g.

For both the Dirichlet and Neumann problem

D(f,g)=(fx,gx)+(fy,gy).

For the Dirichlet problem H = H10(Ω). In this case

D(f,g)=(Δf,g),f,g∈H.

By the trace theorem the solution satisfies u|Ω = 0 in H½(∂Ω).

For the Neumann problem H is taken to be H1(Ω).

## Application to Neumann problem

The classical Neumann problem on Ω consists in solving the boundary value problem

{Δu=f,f,u∈C∞(Ω−),∂nu=0on ∂Ω

Green's theorem implies that for u, v ∈ C∞(Ω−)

(Δu,v)=(ux,vx)+(uy,vy)−(∂nu,v)∂Ω.

Thus if Δu = 0 in Ω and satisfies the Neumann boundary conditions, ux = uy = 0, and so u is constant in Ω.

Hence the Neumann problem has a unique solution up to adding constants.[17]

Consider the Hermitian form on H1(Ω) defined by

D(f,g)=(ux,vx)+(uy,vy).

Since H1(Ω) is in duality with H−10(Ω), there is a unique element Lu in H−10(Ω) such that

D(u,v)=(Lu,v).

The map I \+ L is an isometry of H1(Ω) onto H−10(Ω), so in particular L is bounded.

In fact

((L+I)u,v)=(u,v)(1).

‖(L+I)u‖(−1)=sup‖v‖(1)=1|((L+I)u,v)|=sup‖v‖(1)=1|(u,v)(1)|=‖u‖(1).

On the other hand, any  f in H−10(Ω) defines a bounded conjugate-linear form on H1(Ω) sending v to ( f, v). By the Riesz–Fischer theorem, there exists u ∈ H1(Ω) such that

(f,v)=(u,v)(1).

Hence (L \+ I)u = f and so L \+ I is surjective. Define a bounded linear operator T on L2(Ω) by

T=R1(I+L)−1R0,

where R1 is the map H1(Ω) → L2(Ω), a compact operator, and R0 is the map L2(Ω) → H−10(Ω), its adjoint, so also compact.

The operator T has the following properties:

* T is a contraction since it is a composition of contractions
* T is compact, since R0 and R1 are compact by Rellich's theorem
* T is self-adjoint, since if  f, g ∈ L2(Ω), they can be written  f = (L \+ I)u, g = (L \+ I)v with u, v ∈ H1(Ω) so

(Tf,g)=(u,(I+L)v)=(u,v)(1)=((I+L)u,v)=(f,Tg).

* T has positive spectrum and kernel (0), for

(Tf,f)=(u,u)(1)≥0,

and Tf = 0 implies u = 0 and hence f = 0.

* There is a complete orthonormal basis  fn of L2(Ω) consisting of eigenfunctions of T. Thus

Tfn=μnfn

with 0 < μn ≤ 1 and μn decreasing to 0.

* The eigenfunctions all lie in H1(Ω) since the image of T lies in H1(Ω).
* The  fn are eigenfunctions of L with

Lfn=λnfn,λn=μn−1−1.

Thus λn are non-negative and increase to ∞.

* The eigenvalue 0 occurs with multiplicity one and corresponds to the constant function. For if u ∈ H1(Ω) satisfies Lu = 0, then

(ux,ux)+(uy,uy)=(Lu,u)=0,

so u is constant.

## 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 L and the Dirichlet form D is a strong solution in the classical sense, expressed in terms of the Laplacian Δ and the Neumann boundary conditions. Thus if u = Tf with u ∈ H1(Ω),  f ∈ L2(Ω), then u ∈ H2(Ω), satisfies Δu \+ u = f and ∂nu|∂Ω = 0. Moreover, for some constant C independent of u,

‖u‖(2)≤C‖Δu‖(0)+C‖u‖(1).

Note that

‖u‖(1)≤‖Lu‖(−1)+‖u‖(0),

since

‖u‖(1)2=|(Lu,u)|+‖u‖(0)2≤‖Lu‖(−1)‖u‖(1)+‖u‖(0)‖u‖(1).

Take a decomposition u = ψu \+ (1 − ψ)u with ψ supported in Ω and 1 − ψ supported in a collar of the boundary.

The operator L is characterized by

(Lf,g)=(fx,gx)+(fy,gy)=(Δf,g)Ω−(∂nf,g)∂Ω,f,g∈C∞(Ω−).

Then

([L,ψ]f,g)=([Δ,ψ]f,g),

so that

[L,ψ]=−[L,1−ψ]=Δψ+2ψx∂x+2ψy∂y.

The function v = ψu and w = (1 − ψ)u are treated separately, v being essentially subject to usual elliptic regularity considerations for interior points while w 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 v = ψu lies in H10(Ω1) where Ω1 is a region with closure in Ω. If  f ∈ C∞c(Ω) and g ∈ C∞(Ω−)

(Lf,g)=(Δf,g)Ω.

By continuity the same holds with  f replaced by v and hence Lv = ∆v. So

Δv=Lv=L(ψu)=ψLu+[L,ψ]u=ψ(f−u)+[Δ,ψ]u.

Hence regarding v as an element of H1(T2), ∆v ∈ L2(T2). Hence v ∈ H2(T2). Since v = φv for φ ∈ C∞c(Ω), we have v ∈ H20(Ω). Moreover,

‖v‖(2)2=‖Δv‖2+2‖v‖(1)2,

so that

‖v‖(2)≤C(‖Δ(v)‖+‖v‖(1)).

#### Boundary estimates

The function w = (1 − ψ)u is supported in a collar contained in a tubular neighbourhood of the boundary. The difference quotients δhw can be formed for the flow St and lie in H1(Ω), so the first inequality is applicable:

‖δhw‖(1)≤‖Lδhw‖(−1)+‖δhw‖(0)≤‖[L,δh]w‖(−1)+‖δhLw‖(−1)+‖δhw‖(0)≤‖[L,δh]w‖(−1)+C‖Lw‖(0)+C‖w‖(1).

The commutators [L, δh] are uniformly bounded as operators from H1(Ω) to H−10(Ω). This is equivalent to checking the inequality

|([L,δh]g,h)|≤A‖g‖(1)‖h‖(1),

for g, h 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 δh with a differential operator is obtained by applying the difference operator to the coefficients after having applied Rh to the function:[18]

[δh,∑aα∂α]=(δh(aα)∘Rh)∂α.

Hence the difference quotients δhw are uniformly bounded, and therefore Yw ∈ H1(Ω) with

‖Yw‖(1)≤C‖Lw‖(0)+C′‖w‖(1).

Hence Vw ∈ H1(Ω) and Vw satisfies a similar inequality to Yw:

‖Vw‖(1)≤C′′(‖Lw‖(0)+‖w‖(1)).

Let W be the orthogonal vector field. As for the Dirichlet problem, to show that w ∈ H2(Ω), it suffices to show that Ww ∈ H1(Ω).

To check this, it is enough to show that VWw, W 2u ∈ L2(Ω). As before

A=Δ−V2−W2B=[V,W]

are vector fields. On the other hand, (Lw, φ) = (∆w, φ) for φ ∈ C∞c(Ω), so that Lw and ∆w define the same distribution on Ω. Hence

(W2w,φ)=(Lw−V2w−Au,φ),(VWw,φ)=(WVw+Bw,φ).

Since the terms on the right hand side are pairings with functions in L2(Ω), the regularity criterion shows that Ww ∈ H2(Ω). Hence Lw = ∆w since both terms lie in L2(Ω) and have the same inner products with φ's.

Moreover, the inequalities for Vw show that

‖Ww‖(1)≤C(‖VWw‖(0)+‖W2w‖(0))≤C‖(Δ−V2−A)w‖(0)+C‖(WV+B)w‖(0)≤C1‖Lw‖(0)+C1‖w‖(1).

Hence

‖w‖(2)≤C(‖Vw‖(1)+‖Ww‖(1))≤C′‖Δw‖(0)+C′‖w‖(1).

It follows that u = v \+ w ∈ H2(Ω). Moreover,

‖u‖(2)≤C(‖Δv‖+‖Δw‖+‖v‖(1)+‖w‖(1))≤C′(‖ψΔu‖+‖(1−ψ)Δu‖+2‖[Δ,ψ]u‖+‖u‖(1))≤C′′(‖Δu‖+‖u‖(1)).

#### Neumann boundary conditions

Since u ∈ H2(Ω), Green's theorem is applicable by continuity. Thus for v ∈ H1(Ω),

(f,v)=(Lu,v)+(u,v)=(ux,vx)+(uy,vy)+(u,v)=((Δ+I)u,v)+(∂nu,v)∂Ω=(f,v)+(∂nu,v)∂Ω.

Hence the Neumann boundary conditions are satisfied:

∂nu|∂Ω=0,

where the left hand side is regarded as an element of H½(∂Ω) and hence L2(∂Ω).

### Regularity of strong solutions

The main result here states that if u ∈ Hk+1 (k ≥ 1), ∆u ∈ Hk and ∂nu|∂Ω = 0, then u ∈ Hk+2 and

‖u‖(k+2)≤C‖Δu‖(k)+C‖u‖(k+1),

for some constant independent of u.

Like the corresponding result for the Dirichlet problem, this is proved by induction on k ≥ 1. For k = 1, u is also a weak solution of the Neumann problem so satisfies the estimate above for k = 0. The Neumann boundary condition can be written

Zu|∂Ω=0.

Since Z commutes with the vector field Y corresponding to the period flow St, the inductive method of proof used for the Dirichlet problem works equally well in this case: for the difference quotients δh preserve the boundary condition when expressed in terms of Z.[19]

#### Smoothness of eigenfunctions

It follows by induction from the regularity theorem for the Neumann problem that the eigenfunctions of D in H1(Ω) lie in C∞(Ω−). Moreover, any solution of Du = f with  f in C∞(Ω−) and u in H1(Ω) must have u in C∞(Ω−). In both cases by the vanishing properties, the normal derivatives of the eigenfunctions and u vanish on ∂Ω.

#### Solving the associated Neumann problem

The method above can be used to solve the associated Neumann boundary value problem:

{Δf|Ω=0∂nf|∂Ω=gg∈C∞(∂Ω)

By Borel's lemma g is the restriction of a function G ∈ C∞(Ω−). Let F be a smooth function such that ∂nF = G near the boundary. Let u be the solution of ∆u = −∆F with ∂nu = 0. Then  f = u \+ F solves the boundary value problem.[20]

## Notes

1. ↑ Bers, John & Schechter 1979, pp. 192–193
2. ↑ Chazarain & Piriou 1982
3. ↑ Folland 1995, p. 226
4. ↑ Folland 1995
5. ↑ See:
* Agmon 2010
* Folland 1995, pp. 219–223
* Chazarain & Piriou 1982, p. 94
6. ↑ Taylor 2011
7. ↑ Folland 1995, p. 84
8. ↑ Taylor 2011, pp. 323–325
9. ↑ Chazarain & Piriou 1982
10. ↑ Taylor 2011, p. 275
11. ↑ Renardy & Rogers 2004, pp. 214–218
12. ↑ Hörmander 1990, pp. 240–241
13. ↑ Renardy & Rogers 2004
14. ↑ Chazarain & Piriou 1982
15. ↑ Renardy & Rogers 2004
16. ↑ Folland 1995, pp. 231–248
17. ↑ Taylor 2011
18. ↑ Folland 1995, pp. 255–260
19. ↑ Taylor 2011, p. 348
20. ↑ Folland 1995, p. 85

## References

* John, Fritz (1982), Partial differential equations, Applied Mathematical Sciences, 1 (4th ed.), Springer-Verlag, ISBN 0-387-90609-6, https://archive.org/details/partialdifferent00john_0
* Bers, Lipman; John, Fritz; Schechter, Martin (1979), Partial differential equations, with supplements by Lars Gårding and A. N. Milgram, Lectures in Applied Mathematics, 3A, American Mathematical Society, ISBN 0-8218-0049-3
* Agmon, Shmuel (2010), Lectures on Elliptic Boundary Value Problems, American Mathematical Society, ISBN 978-0-8218-4910-1
* Stein, Elias M. (1970), Singular Integrals and Differentiability Properties of Functions, Princeton University Press
* Greene, Robert E.; Krantz, Steven G. (2006), Function theory of one complex variable, Graduate Studies in Mathematics, 40 (3rd ed.), American Mathematical Society, ISBN 0-8218-3962-4
* Taylor, Michael E. (2011), Partial differential equations I. Basic theory, Applied Mathematical Sciences, 115 (2nd ed.), Springer, ISBN 978-1-4419-7054-1
* Zimmer, Robert J. (1990), Essential results of functional analysis, Chicago Lectures in Mathematics, University of Chicago Press, ISBN 0-226-98337-4
* Folland, Gerald B. (1995), Introduction to partial differential equations (2nd ed.), Princeton University Press, ISBN 0-691-04361-2
* Chazarain, Jacques; Piriou, Alain (1982), Introduction to the Theory of Linear Partial Differential Equations, Studies in Mathematics and Its Applications, 14, Elsevier, ISBN 0-444-86452-0
* Bell, Steven R. (1992), The Cauchy transform, potential theory, and conformal mapping, Studies in Advanced Mathematics, CRC Press, ISBN 0-8493-8270-X
* Warner, Frank W. (1983), Foundations of Differentiable Manifolds and Lie Groups, Graduate Texts in Mathematics, 94, Springer, ISBN 0-387-90894-3
* Griffiths, Phillip; Harris, Joseph (1994), Principles of Algebraic Geometry, Wiley Interscience, ISBN 0-471-05059-8
* Courant, R. (1950), Dirichlet's Principle, Conformal Mapping, and Minimal Surfaces, Interscience
* Schiffer, M.; Hawley, N. S. (1962), "Connections and conformal mapping", Acta Math. 107 (3–4): 175–274, doi:10.1007/bf02545790
* Hörmander, Lars (1990), The analysis of linear partial differential operators, I. Distribution theory and Fourier analysis (2nd ed.), Springer-Verlag, ISBN 3-540-52343-X
* Renardy, Michael; Rogers, Robert C. (2004), An Introduction to Partial Differential Equations, Texts in Applied Mathematics, 13 (2nd ed.), Springer, ISBN 0-387-00444-0

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