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LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedjudge pass (gpt-6-luna)verified 2026-10-22 (gpt-6.1-sol)
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Both analytic normal directions at a flat support boundary

Statement

Let u be a distribution near 0∈Rn, vanishing where xn<0. If either (0,dxn) or (0,−dxn) is absent from its Gaussian analytic wavefront set, then u=0 on a neighborhood of 0. Equivalently, if 0∈supp⁡u, both normal orientations belong to that wavefront set. The assertion also holds with the two half-spaces interchanged.

Facts & Assumptions

Given: The distribution and one of the two absent oriented normals in the statement.

[F1]

Local analytic elliptic packet reconstruction permits a bounded open neighborhood of nonzero frequency parameters and gives fixed-order exponential localization errors.

[F2]

Boundary maximum modulus principle on a bounded domain bounds a holomorphic function by its boundary modulus on a bounded domain.

[F3]

Compactly supported distributions extend to smooth functions permits pairing a localized distribution with Gaussian functions and differentiating such pairings by fixed-support seminorm estimates.

[F4]

Support of a distribution characterizes vanishing on open sets by support.

Proof

Given: The data in the statement.

1.1F3F4givenalgebra

Multiply u by a compact smooth cutoff equal to one near 0 and supported where the one-sided hypothesis holds. It remains supported in yn≥0, and the wavefront hypothesis is unchanged by exponential Gaussian tail estimates. Denote this compact distribution again by u and put U(z,λ)=⟨u(y),e−λ(z−y)2/2⟩,z∈Cn. This is entire by [F3]. A finite distributional derivative order gives the following bound on every fixed bounded complex set: ∣U(z,λ)∣≤CλMeλΦ(z),Φ(z)=∣Im⁡z∣2−(Re⁡zn)−22, where s−:=max⁡(−s,0). To justify the sharp half-space bound for a distribution, insert a smooth factor ϑ(λyn) that is one for λyn>−1/2 and zero for λyn<−1. It equals one on a neighborhood of the support, so does not change the pairing. Its derivatives of each fixed order cost only a power of λ. On its support, yn≥−1/λ, and Re⁡(z−y)2=∣Re⁡z−y∣2−∣Im⁡z∣2 gives the bound with (s+1/λ)−2 in place of s−2. Their difference is O(1/λ) uniformly for bounded s, so it changes the exponential by a bounded factor. Gaussian derivatives contribute another fixed power of λ. This proves the displayed bound using the ordinary fixed-support distributional seminorm, without assuming an estimate on the exact support set.

1.2F2algebraconstruct

We record the elementary quantitative continuation used in the left half-plane. If a holomorphic g is bounded by 1 on a disk of radius R and by e−dλ on the concentric disk of radius r<R, then on the disk of radius r<ρ<R, ∣g∣≤exp⁡ ⁣(−dλlog⁡(R/ρ)log⁡(R/r)). For the annulus compare log⁡∣g∣ with the harmonic function that is −dλ on the inner circle and 0 on the outer circle. This comparison follows from [F2]: near any hypothetical positive interior maximum of their difference, subtract a local harmonic conjugate and apply the maximum modulus principle; a small strict harmonic perturbation excludes a non-strict maximum, then let that perturbation decrease to zero. Zeros of g cannot be positive maxima. Chaining finitely many overlapping disks contained in the connected left half-plane propagates a strictly positive exponent from the initial disk to any chosen compact subset there. To make the finite chain explicit, cover a polygonal path from the initial disk to the compact set by equal small disks whose doubled disks lie in the half-plane, take successive center distances less than one quarter of the radius, and iterate the displayed estimate. The exponent is multiplied by finitely many positive radius ratios.

2.1F1step 1.1algebra

Write z=(z′,s+it). The identity e−λ∣p∣2/2U(x−ip,λ)=⟨u,eiλ(x−y)⋅p−λ∣x−y∣2/2⟩ and [F1] imply that absence of either normal gives ∣U(z,λ)∣≤Ceλ(∣Im⁡z∣2/2−c) in a fixed complex neighborhood of (0,∓i) for some c>0. The use of [F1] here is only to let p range over an open ball about ±en, rather than the unit sphere. Fix a small neighborhood of z′=0 and treat z′ as a parameter. For each such z′ the holomorphic function of one variable G(zn,λ)=e−λ∣Im⁡z′∣2/2eλzn2/2U(z′,zn,λ) satisfies ∣G∣≤CλMeλs+2/2 on bounded rectangles. On one small disk lying in s<0 near ∓i it satisfies ∣G∣≤Ce−c1λ: in this regularity estimate the additional exponent is s2/2, which is less than c/2 after shrinking that disk. Constants are uniform in z′.

3.1step 2.1step 1.2construct

Divide G by its uniform polynomial bound CλM. In the left half-plane this quotient has modulus at most 1. Step 1.2 gives r,b,d>0 such that on the segment s=−r, ∣t∣≤b, it is at most e−dλ, after decreasing d and taking λ large. The same construction works whether the initial disk is near i or −i; both lie in the same connected left half-plane neighborhood joined by a bounded path to this segment. All paths, rectangles and constants can be fixed uniformly for the chosen z′ parameters.

4.1F2step 2.1step 3.1algebrachoose

Extend to the rectangle −r≤s≤a, ∣t∣≤b, where a>0 will be small. For k=π/(2b) define w(s,t)=sinh⁡(k(a−s))sinh⁡(k(a+r))cos⁡(kt). This is harmonic, nonnegative in the rectangle, zero on the top, bottom and right sides, and between zero and one on its left side. For H=G/(CλM), the global bound in step 2.1 and the left-side improvement give, by [F2] with a harmonic conjugate of w, log⁡∣H(s+it)∣≤λ(a2/2−dw(s,t)). On the left the proposed upper bound is at least −dλ, and on the other three sides it is λa2/2, so all boundary inequalities hold. At (s,t)=(0,0), w(0,0)=sinh⁡(ka)sinh⁡(k(a+r))≥c2a for sufficiently small a, with fixed c2>0. Choose a so a2/2<dc2a/2. Continuity then gives a fixed disk about zn=0 on which ∣H∣≤e−d2λ for some d2>0. This is the needed strict improvement across the boundary.

5.1F3F4step 4.1algebra∎

For real z=x in a sufficiently small neighborhood of 0, the exponential factors defining G give ∣U(x,λ)∣≤CλMe−d2λ. On this real neighborhood the normalized Gaussian convolutions (λ/(2π))n/2U(x,λ) converge distributionally to u. For completeness, after pairing with a compact test ϑ, Fubini for a compact distribution and a rapidly decreasing Gaussian writes the pairing as ⟨u,ρλ∗ϑ⟩, where ρλ has mass one. Every fixed derivative of ρλ∗ϑ−ϑ tends uniformly to zero on the support compact: split the integral into ∣y∣<δ, where uniform continuity controls the translated derivative, and ∣y∣≥δ, where the Gaussian tail tends to zero; the same argument bounds the derivatives outside the test support. Thus [F3] proves the asserted distributional convergence. The exponential bound makes its limit zero for tests in the smaller neighborhood, so u=0 there. Reflecting xn interchanges the half-spaces and interchanges the two normal orientations. Both claims follow without a reality assumption on u.

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