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Global W2,p Dirichlet estimate on a C1,1 domain

Statement

Assume the Axiom of Choice and Countable Choice. Let n≥2, 1<p<∞, let Ω be a bounded C1,1 domain, and let L=aij∂i∂j+bi∂i+c be uniformly elliptic on Ω with aij∈C0(Ωˉ), ∥b∥∞+∥c∥∞≤M, and ellipticity constants λ,Λ. Then there is C<∞, depending on n,p,λ,Λ,M,Ω and the modulus of continuity of A, such that every u∈W2,p(Ω)∩W01,p(Ω) satisfies ∥u∥W2,p(Ω)≤C(∥Lu∥Lp(Ω)+∥u∥Lp(Ω)). The estimate is a priori and asserts neither solvability nor weak-to-strong regularity: the function is assumed to lie in W2,p with zero trace.

Facts & Assumptions

Given: the Axiom of Choice and ACω, n≥2, 1<p<∞, the bounded C1,1 domain Ω, the operator L with the stated bounds, and u∈W2,p(Ω)∩W01,p(Ω).

[A1]

The Axiom of Choice is inherited by the half-space trace, extension and Lipschitz/Sobolev interfaces; Countable Choice is inherited by the estimate and measure interfaces. (The Axiom of Choice) All covers and bump families are finite and explicitly exhibited. (The Axiom of Countable Choice (ACω))

[F1]

The spaces W2,p and W01,p are those of Integer-order Sobolev spaces and their norms and Zero-boundary Sobolev space as a norm closure; in particular, W01,p(Ω) is the W1,p closure of Cc∞(Ω), and multiplication by a smooth compactly supported cutoff preserves that closure, by multiplying the approximating test functions. (A smooth bump between concentric Euclidean balls)

[F2]

Interior W2,p estimate (Interior W2,p estimate for uniformly elliptic equations with continuous coefficients): under its stated hypotheses, every w∈W2,p(BR(x0)) with Lw∈Lp satisfies the scale-invariant estimate ∑j=02Rj−2max⁡∣β∣=j∥Dβw∥Lp(BR/2(x0))≤C(R−2∥w∥Lp(BR(x0))+∥Lw∥Lp(BR(x0))). On any fixed patch radius this implies the corresponding unweighted W2,p estimate with a constant also depending on that radius, which is the form used below.

[F3]

Whole-space Laplace estimate (Global W2,p estimate for the Laplacian on Euclidean space): ∥D2w∥Lp(Rn)≤Cn,p∥Δw∥Lp(Rn) for every w∈W2,p(Rn) and 1<p<∞, with the max-form convention for ∥D2w∥Lp up to dimensional constants.

[F4]

Half-space Dirichlet estimate for constant coefficients. Let A0 be symmetric positive definite with λ∣ξ∣2≤A0ijξiξj≤Λ∣ξ∣2, let H={xn>0} and let v∈W2,p(H)∩W01,p(H). Then ∥∂ijv∥Lp(H)≤Cn,p,λ,Λ∥A0ij∂i∂jv∥Lp(H). Proof: put y:=A0−1/2x, so x=A01/2y maps H onto the half-space H′={y⋅ν>0} with ν:=A01/2en, and define v~(y):=v(A01/2y). The chain rule gives Δyv~(y)=(A0ij∂i∂jv)(A01/2y); after a rotation H′ is {yn>0} and the Laplacian is invariant. Let V be the odd extension of v~ in the normal variable yn. Its trace is zero; The trace operator of The half-space trace estimate and the half-space trace operator applies to v~ and its first derivatives. Approximate v~ by functions smooth up to the face by applying Integer-order Sobolev extension from a half-space and whole-space smooth density. Trace continuity and tangential integration by parts against a compact boundary test give T(∂av~)=∂a(Tv~)=0 for a<n. The odd extension has zero function trace; its normal derivative is even, so its two traces agree, while each tangential derivative is odd with zero trace. Integration by parts on the two half-spaces therefore produces no interface distributions through order two, so V∈W2,p(Rn) and ΔV is the odd extension of Δv~. Thus ∥ΔV∥Lp(Rn)=21/p∥Δv~∥Lp(H′), with the same factor for each second derivative. Applying [F3] to V and changing variables back through A0±1/2 (whose operator norms are bounded by max⁡{λ−1/2,Λ1/2}, with Jacobian factors likewise controlled by λ,Λ) gives the claim. The reflection and weak derivative compatibility are established here; Wang's Schauder Theorem 1' is not an Lp supplier.

[F5]

Cutoff commutator (The cutoff commutator in the local W2,p estimates): for η∈Cc∞(BR(x0)) and w∈W2,p(BR(x0)), L(ηw)=ηLw+(aij+aji)(∂iη)∂jw+(aij∂i∂jη+bi∂iη)wa.e. with the corresponding Lp commutator bound. In this theorem's symmetric principal-matrix convention, aij=aji, so the cross term specializes to 2aij(∂iη)∂jw and the previous bound with 2Λ is valid. The identity applies on each flattened half-box with its transformed symmetric principal matrix.

[F6]

Absorption (Lp interpolation absorption of first derivatives by second derivatives): for every ε>0 there is C(n,p,ε) with ∥Dw∥Lp(Rn)≤ε∥D2w∥Lp(Rn)+C∥w∥Lp(Rn) for w∈W2,p(Rn), and on balls ∥Dw∥Lp(BR(x0))≤εR∥D2w∥Lp(B2R(x0))+CR−1∥w∥Lp(B2R(x0)).

[F7]

Local C1,1 flattening. Here C1,1 means that each local boundary graph is C1 and its first derivatives are Lipschitz on compact patches. The flattening map is a shear with determinant one; its first derivative and inverse are bounded, and its second weak derivatives are essentially bounded: apply the real-valued converse of W1,∞ functions on convex domains have Lipschitz representatives to each Lipschitz graph-gradient component on a smaller convex base box. For smooth w, mollify the graph on a slightly larger base box. The graph functions and gradients converge uniformly; their uniformly bounded second derivatives converge locally in each finite Lp to the weak second derivatives. Apply the ordinary chain rule to the smooth shears, then pass to the weak derivative identities using change of variables and these convergences. This gives D(w∘Φ)=(Dw∘Φ)DΦ and D2(w∘Φ)=(D2w∘Φ)[DΦ,DΦ]+(Dw∘Φ)D2Φ. The change-of-variables formula and the bound ∥gh∥Lp≤∥g∥L∞∥h∥Lp therefore bound the local W1,p and W2,p norms of the pullback by the corresponding original norms, with constants controlled by the chart bounds. For general w∈W2,p, smooth approximation on the open chart patch (Meyers–Serrin density on an arbitrary open set) and weak stability of derivatives (Weak derivatives persist under local Lp limits) give the same weak chain rule and estimate. The Jacobian and chart derivatives are controlled on the finite atlas of the bounded C1,1 domain (Bounded C^k domains and boundary charts, A C^1 diffeomorphism satisfies the change-of-variables formula for nonnegative Lebesgue measurable functions, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), Classical derivatives agree with weak derivatives, Holder's inequality for integrals, including the endpoint cases). The transformed lower-order coefficients are bounded by the original bounds and the chart's C1,1 bounds. (Uniformly elliptic nondivergence-form operators and their frozen coefficients)

Proof

technique · direct
1.1F1F7givenconstructA1

Uniform charts, transformed-coefficient modulus, and bounded overlap. Start with a finite C1,1 boundary atlas and a finite interior atlas. In a boundary chart x=Φ(y) the transformed principal matrix is A~(y)=DΦ(y)−1A(Φ(y))DΦ(y)−T. The chart maps and their first derivatives are uniformly bounded on the finite atlas, and DΦ is Lipschitz; therefore, for a modulus ωA of A on Ωˉ, ωA~(s)≤C0(ωA(C0s)+s) on every chart, with one C0 for the finite atlas. Choose a small scale r so the half-space estimate constant times ωA~(C0r) is as small as required below. A grid in each chart and in the interior gives inner patches covering Ω: boundary half-patches cover a collar of width comparable to r, and the remaining interior balls have doubled balls contained in Ω. Choose fixed larger patches for cutoffs and the doubled-ball interpolation inequality, still inside the chart or Ω. The expanded patches have overlap at most N0, independent of r; smooth cutoffs equal to one on inner patches and supported on the expanded patches have first and second derivatives bounded by Cr−1 and Cr−2. The grid overlap and finite atlas fix N0 before we choose the local Hessian error.

2.1F2step 1.1algebra

Interior patches with doubled balls inside Ω. For an interior member Br(xν), step 1.1 ensures B2r(xν)⊂Ω. Apply [F2] to u on B2r(xν) to obtain ∥u∥W2,p(Br(xν))≤C(r−2∥u∥Lp(B2r(xν))+∥Lu∥Lp(B2r(xν))). These doubled balls are all contained in Ω, and their constants are uniform because the coefficient modulus and the dimensionless lower-order bounds are controlled at the fixed scale.

2.2F1F3F4F5F6F7step 1.1algebra

Boundary patches and a prescribed local error. In a boundary chart flatten the graph, write u~=u∘Φ, let L~ be the transformed operator, and take a cutoff χ equal to one on an inner half-patch and supported on a larger half-patch. Set v=χu~. To see v∈W01,p(R+n), choose uk∈Cc∞(Ω) converging to u in W1,p by [F1]. Their pullbacks, multiplied by χ, are compactly supported in the open half-space and lie in W01,p(R+n) by mollification. The smooth W^{1,p} chart estimate [F7] makes these pullbacks Cauchy in W1,p; the change-of-variables Lp estimate identifies their limit with v, so closedness of W01,p gives v∈W01,p(R+n). Since u∈W2,p, the same chart rule gives v∈W2,p(R+n); extend it by zero away from the patch. Freeze the transformed principal matrix at the chart centre to get L~0. The half-space estimate [F4], whose odd-reflection proof applies the whole-space estimate [F3], and the product identity [F5] bound ∥D2v∥Lp by the transformed ∥Lu∥Lp, the principal error ∥χ(A~0−A~):D2u~∥Lp, lower-order products, and cutoff commutators bounded by C(r−1∥Du~∥Lp+r−2∥u~∥Lp) on the expanded patch. The identity χD2u~=D2v−Dχ⊗Du~−Du~⊗Dχ−(D2χ)u~ puts the principal error on the left with coefficient at most CωA~(C0r), which is made small in step 1.1. For the term χDu~, write it as Dv−(Dχ)u~ and apply the whole-space interpolation inequality [F6] to the odd extension of v; choose its parameter small enough to absorb the resulting ∥D2v∥Lp term. For the cutoff commutator, odd-extend u~ across the flat face on the larger half-ball and apply the doubled-ball form of [F6], giving for every ε>0 r−1∥Du~∥Lp(P+)≤ε∥D2u~∥Lp(P++)+Cεr−2∥u~∥Lp(P++). The chart chain rule [F7] also contributes bounded first-order terms when comparing second derivatives; the same interpolation absorbs them into an arbitrarily small multiple of the outer Hessian norm. Thus, after first fixing the transformed-coefficient oscillation and then choosing the interpolation parameters, for any prescribed η>0 the boundary patch satisfies ∥u∥W2,p(P)≤C1(∥Lu∥Lp(P++)+r−2∥u∥Lp(P++))+η∥D2u∥Lp(P++), where P is the inner patch and P+, P++ are fixed expanded patches from step 1.1. All chart Jacobians and lower-order coefficient bounds enter C1, which is independent of u.

3.1step 1.1step 2.1step 2.2algebra

Sum with bounded overlap and absorb quantitatively. The inner patches cover Ω and the expanded patches have overlap at most N0. Taking the ℓp sum of the local estimates in steps 2.1 and 2.2 therefore gives ∥u∥W2,p(Ω)≤C2(∥Lu∥Lp(Ω)+r−2∥u∥Lp(Ω))+Covη∥D2u∥Lp(Ω), where Cov depends only on the fixed overlap and chart constants. Now choose the local error from step 2.2 after this overlap constant is fixed so that Covη≤12. Since ∥D2u∥Lp≤∥u∥W2,p, the last term is absorbed into the left side. This yields the stated estimate; the finite-overlap factor is accounted for explicitly rather than assumed small.

4.1step 1.1step 3.1F4given∎

Conclusion. Step 3.1 yields the displayed a priori estimate with a constant depending on n,p,λ,Λ,M,Ω, the finite C1,1 atlas and the modulus ωA through ωA~(s)≤C0(ωA(C0s)+s). The zero trace is used for the odd extension in the half-space estimate, and every interior doubled ball is contained in Ω. The proof asserts neither solvability nor weak-to-strong regularity.

Remarks

  • The globalization has two ingredients: the interior estimate [F2] and the half-space Dirichlet estimate [F4], the latter used after flattening and freezing. The freezing radius is chosen once, uniformly over the finite atlas, using continuity of the principal coefficients on the compact set Ωˉ; this is where the modulus of continuity enters the constant.
  • The estimate is genuinely a priori: the odd reflection used in [F4] requires a function already in W2,p with zero trace. Obtaining that membership from a weak formulation is the content of the weak-to-strong regularity theorem of this page, not of this a priori estimate.

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