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A strong Lp Neumann inverse on four-dimensional balls

Statement

Assume full AC. Derivative tensors carry their Euclidean norms, and Sobolev norms are sums of the resulting Lp norms. Fix a finite-dimensional real inner-product space V, 2≤p<∞, and r>0. Every f∈Lp(Br(0);V) with zero volume mean has a unique mean-zero u∈W2,p(Br;V) satisfying ∫Br⟨∇u,∇v⟩=∫Br⟨f,v⟩(v∈W1,2(Br;V)). The inverse is linear and obeys r−2∥u∥p+r−1∥∇u∥p+∥D2u∥p≤Cp,V∥f∥p, with Cp,V independent of r and f. Its solution is the W2,p limit of mean-zero polynomial solutions with classical zero normal derivative. In particular it belongs to the W2,p closure of smooth zero-normal-derivative functions on the closed ball.

On B1, let Xp be the W2,p closure of the V-valued polynomials with zero normal derivative on the sphere, and let Xp0 be its mean-zero subspace. Then −Δ:Xp0→L0p(B1;V) is a bounded bijection with the above inverse. Here L0p denotes the zero-mean subspace; Xp0 is complete for the equivalent norm ∥u∥Xp0=∥Δu∥p. A prescribed finite orthogonal equivariance of f is preserved by the inverse, as in the L2 case. No endpoint p=∞ or nonlinear gauge existence is asserted.

Facts & Assumptions

[F1]

The proved A strong L2 Neumann inverse on four-dimensional balls constructs the unique mean-zero weak Neumann solution, with its W2,2 bound on B1, and gives polynomial solutions for polynomial data.

[F2]

The whole-space Laplace estimate bounds D2z by CpΔz in Lp for z∈W2,p(R4). The interpolation estimate gives ∥∇z∥p≤η∥D2z∥p+Cp,η∥z∥p, after finite-dimensional norm comparisons (Global W2,p estimate for the Laplacian on Euclidean space, Lp interpolation absorption of first derivatives by second derivatives).

[F3]

The unit ball is a W2,2 extension domain; the critical higher-order Sobolev embedding there gives ∥z∥Lp≤Cp∥z∥W2,2 for every finite p (Bounded C^k domains admit integer-order Sobolev extension, Higher-order Sobolev embedding).

[F4]

Polynomials uniformly approximate real continuous functions on the closed ball. Smooth approximation on R4 is available also in order zero, Lp is complete, and Holder compares norms on finite-volume sets (Real Stone--Weierstrass theorem for compact metric spaces, Meyers–Serrin density on an arbitrary open set, Riesz-Fischer completeness of Lp for 1≤p≤∞, Holder's inequality for integrals, including the endpoint cases).

[F5]

A fixed smooth cutoff can equal one near B‾1 and vanish outside B2 (A smooth bump between concentric Euclidean balls). Full AC supplies the countable choices of the analytic suppliers (The Axiom of Choice, AC implies DC implies countable choice).

Proof

Given: Full AC, V, 2≤p<∞, and the stated datum. Work first on B1.

1.1givenconstructalgebra

Reflection matching. Let u be smooth near B‾1 with ∂νu=0. On 1<∣x∣<2 put ȷ(x)=x/∣x∣2 and v(x)=u(ȷ(x)), and put v=u on B1. At ∣x∣=1, Dȷ=I−2ν⊗ν; since ∇u is tangential, the outside gradient DȷT∇u equals the inside gradient. The values match as well. Thus v is C1 across the sphere, smooth on each side, and has locally bounded piecewise second derivatives. Integration by parts on the two sides cancels the interface terms for v and its first derivatives, so these piecewise derivatives are its weak derivatives through order two.

2.1step 1.1algebra

The reflected equation. Writing s=∣x∣, one has Dȷ=s−2(I−2x⊗x/s2), DȷDȷT=s−4I, and Δȷj=−4s−4xj in four dimensions. The chain rule therefore gives Δv=s−4(Δu)(ȷx)−4s−4x⋅(∇u)(ȷx). Since x⋅∇v=−s−2x⋅(∇u)(ȷx), this is Δv=s−4(Δu)(ȷx)+4s−2x⋅∇v. All coefficients are bounded on the annulus. The inversion Jacobian has absolute value s−8 and maps that annulus into B1∖B‾1/2, so change of variables bounds its reflected u, first-derivative and Laplacian norms by constant multiples of their norms on B1.

3.1F2F5step 1.1step 2.1choosealgebra

A whole-space estimate for the extension. Choose the cutoff χ of [F5] equal to one near B‾1, and define Eu=χv on B2, zero elsewhere. Step 1.1 gives Eu∈W2,p(R4) with compact support. Step 2.1 and Δ(χv)=χΔv+2∇χ⋅∇v+(Δχ)v give ∥Eu∥p≤C∥u∥p and ∥ΔEu∥p≤Cp(∥Δu∥p+∥∇u∥p+∥u∥p). Since Eu=u on B1, ∥∇u∥p≤∥∇Eu∥p. Apply [F2] to obtain ∥D2Eu∥p≤Cp(∥Δu∥p+∥∇Eu∥p+∥u∥p). Interpolate the middle term by [F2] with η>0 chosen so Cpη≤1/2, and absorb it. Then interpolate once more for the first derivatives and restrict to B1. The result is ∥u∥W2,p(B1)≤Cp(∥Δu∥p+∥u∥p). No estimate was applied before the reflected function's W2,p membership was proved.

4.1F1F3F4step 3.1algebra

Removing the zeroth-order term for Neumann solutions. For mean-zero polynomial f, [F1] gives a polynomial mean-zero solution u with classical zero normal derivative and ∥u∥W2,2≤C∥f∥2. By [F3], ∥u∥p≤Cp∥f∥2≤Cp∣B1∣1/2−1/p∥f∥p, where the final Holder bound uses p≥2. Substitution in step 3.1, with −Δu=f, proves ∥u∥W2,p(B1)≤Cp,V∥f∥p for these polynomial solutions, uniformly in their degrees.

5.1F1F4F5step 4.1constructchoosealgebra

Construction for all mean-zero Lp data. Extend f by zero to R4, approximate in Lp by smooth functions using [F4], and restrict to the closed ball. Each approximant is continuous there and hence uniformly approximable by polynomials by [F4]. A choice of uniform error tending to zero gives polynomial approximants in Lp; subtract their means to obtain mean-zero fj→f in Lp, since ∥(fj−f)B1∥ ∣B1∣1/p≤∥fj−f∥p before normalization. Let uj be the polynomial solutions from [F1]. Applying step 4.1 to their differences makes all derivative components through order two Cauchy in Lp. Completeness [F4] and passage in the weak-derivative test identities give a limit u∈W2,p with uj→u strongly and the same bound. Finite volume and p≥2 imply uj→u in W1,2 and fj→f in L2; their weak Neumann identities pass to the limit for every W1,2 test. Thus the solution is the unique L2 Neumann solution of [F1], now with the stronger regularity and norm estimate.

6.1F1F4step 4.1step 5.1algebra

The complete normalized domain. By step 5.1 the inverse maps into Xp0 and is bounded there. Conversely let u∈Xp0 and choose polynomial zero-normal approximants uj→u in W2,p. Subtracting their means preserves the normal condition and convergence. The sources fj=−Δuj have zero mean, by the polynomial weak identity of [F1], and converge to f=−Δu∈L0p. Each uj is the normalized solution for fj, so the bounded inverse from step 5.1 sends f to u. This proves bijectivity. Also ∥Δu∥p≤C∥u∥W2,p and the inverse bound gives the reverse norm comparison. The zero-mean subspace of Lp is closed, since its mean functional is bounded by Holder, hence complete by [F4]. Its isomorphism with Xp0 gives completeness for ∥Δu∥p.

7.1F1F2F3F4F5step 5.1step 6.1constructalgebra∎

Scaling, uniqueness and symmetry. For Br put fr(y)=r2f(ry), solve on B1 and set u(x)=ur(x/r). Direct change of variables gives ∥fr∥p=r2−4/p∥f∥p, ∥D2ur∥p=r2−4/p∥D2u∥p, ∥∇ur∥p=r1−4/p∥∇u∥p, and ∥ur∥p=r−4/p∥u∥p. Divide the unit-ball bound of step 5.1 by r2−4/p to obtain the displayed estimate; polynomial approximations rescale as well. The weak identity passes by change of variables. Uniqueness, linearity and preservation of prescribed finite orthogonal equivariance follow from [F1], since all these solutions belong to its unique mean-zero W1,2 solution class. Full AC is inherited through [F2]–[F5] and the sequential approximation choices.

Source notes

Tao–Tian's complete Proposition 3.6 proof and §9 nonlinear iteration were read in the full paper. The proof above constructs the ball's linear inverse directly: inversion reflection gives its strong estimate, and the previously constructed polynomial Neumann solutions give surjectivity by completion. It invokes no quoted strong Neumann solvability theorem, no boundary Schauder theorem and no merely formal weak-to-strong upgrade. This is the strong linear boundary supplier needed before a nonlinear gauge iteration can be justified.

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