Alphabeta Math
PropositionStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedprecheck pendingverified 2026-10-23 (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Mean-zero pressure as a distribution

Statement

Assume Countable Choice. Let d≥2, L>0, ν>0, and u0∈H for the periodic solenoidal Fourier spaces on TLd. Let u be any global unforced periodic Leray–Hopf solution with data (ν,u0) supplied by Global periodic weak viscous existence under these hypotheses. Put U=(0,∞)×TLd, and let Dper(U) be the space of smooth complex-valued functions on U, represented by smooth L-periodic lifts in space, that are compactly supported in time. For tests supported in a fixed compact interval K⊂(0,∞), use the seminorms pK,m(ϕ)=max⁡j+∣α∣≤msup⁡(t,x)∈K×TLd∣∂tj∂xαϕ(t,x)∣(m∈N0); equip Dper(U) with the locally convex inductive-limit topology over these fixed-time-support spaces, generated by all seminorms whose restriction to every fixed-time-support space is continuous. A spacetime distribution means a continuous complex-linear functional on this test space; all pairings are bilinear, and derivatives act by transposing the corresponding test derivative with a minus sign. Then there is a unique mean-zero-in-space distribution π on (0,∞)×TLd such that ∂tu+div⁡(u⊗u)+∇π=νΔu as a spacetime distribution, normalized by requiring its zero spatial Fourier coefficient to vanish. Specifically, for k∈Zd, its kth spatial Fourier coefficient is the time distribution defined by ⟨π^(k),ψ⟩=⟨π,ψ(t)e−iκk⋅x⟩ for ψ∈Cc∞((0,∞);C), with the spacetime distribution pairing taken using dt L−ddx and extended complex-linearly; normalization means π^(0)=0. No function-space or pointwise regularity for π is asserted.

Facts & Assumptions

Given: Countable Choice, d≥2, L>0, ν>0, u0∈H, the global weak velocity supplied under those data, the Fourier convention of Periodic solenoidal Fourier spaces, and the distribution and derivative conventions stated by Distribution and Distributional derivative.

[F1]

Global periodic weak viscous existence: under Countable Choice and the stated data, u∈Lloc∞H∩Lloc2V and satisfies the unforced periodic solenoidal weak identity.

[F2]

Periodic solenoidal Fourier spaces: Pk=I−κkκkT/∣κk∣2 for k≠0, and P0=I.

[F3]

Distribution and Distributional derivative: a distribution is a continuous linear functional on smooth compactly supported tests; derivatives transfer to tests with a minus sign.

[F4]

Regular distribution from a locally integrable function: a locally integrable field defines a distribution by integration against tests.

Proof

1.1givenF1F3F4

Write T=u⊗u. Since u∈Lloc∞(0,∞;Lx2), it and T are locally integrable on U; on each compact time interval this follows from finite spatial measure and ∥u(t)⊗u(t)∥Lx1=∥u(t)∥Lx22. For any fixed compact time support K, the regular pairings of u and T are bounded by their local L1 norms times pK,0, so their absolute-value seminorms restrict continuously to every fixed-support test space and belong to the family defining the test topology. They are spacetime distributions. Their distributional derivatives therefore have the declared transpose meaning. The map a↦a⊗a is continuous from Lx2 to Lx1, since ∥a⊗a−b⊗b∥1≤(∥a∥2+∥b∥2)∥a−b∥2; hence the Fourier coefficients T^(k,t) are measurable and bounded on finite time intervals. For k≠0 set π^(k,t)=−∑a,b=1dκk,aκk,b∣κk∣2T^ab(k,t),π^(0,t)=0. The coefficients are bounded in k by Cd∥u(t)∥22. For a smooth spacetime test ϕ, repeated spatial integration by parts makes ϕ^(k,t) decay faster than any power of ∣k∣, uniformly with each time derivative on its compact support. Therefore ⟨π,ϕ⟩=∫∑kπ^(k,t)ϕ^(−k,t)dt converges absolutely and is bounded by a constant times one finite-order seminorm pK,m. Its absolute-value seminorm belongs to the family defining the test topology, so it defines a spacetime distribution with zero spatial mean.

2.1givenF1F2F3step 1.1

At each nonzero frequency, the Fourier multiplier identity gives iκkπ^(k)=−(I−Pk) i∑bκk,bT^⋅b(k); the zero-frequency identity is also valid because both sides vanish. The weak identity in [F1] is exactly ∂tu+Pdiv⁡T−νΔu=0 after testing against solenoidal fields. Adding the displayed gradient identity yields ∂tu+div⁡T+∇π−νΔu=0 for every smooth periodic vector test, which is the claimed equation.

3.1givenF2step 2.1algebra∎

If π1,π2 are two such mean-zero distributions, their difference Q has zero spatial gradient. Its kth spatial Fourier coefficient, a distribution in time, therefore vanishes for every k≠0 since iκk≠0; its zero coefficient vanishes by the mean-zero normalization. For any compactly time-supported smooth periodic test ϕ(t,x), repeated integration by parts in x makes its spatial Fourier coefficients and all their time derivatives decay faster than every power of ∣k∣, uniformly on the compact time support. Thus its rectangular Fourier partial sums converge to ϕ in the smooth test-function topology. Continuity of Q and vanishing of all its spatial Fourier coefficients give ⟨Q,ϕ⟩=0. Hence Q=0 as a spacetime distribution, proving uniqueness.

Depends on

Dependency tree · 2 levels

Sources