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The moment-Hessian inequality, its operator data, and $\CPaff\le\CMH$

Part of the moment-map mechanism, Chapter The moment map: CMH and the linear test; the reading order is on the full proofs page.

Overview. This dossier fixes the operator data of Route C, which answers Remark 15.2. It proves the Bochner identity Proposition 16.1, the endpoint reduction Theorem 16.1 (CPaff≤CCMH\CPaff\le\CMH), the Hodge decomposition Proposition 16.2 with its consequence Corollary 16.1, and the algebraic countermodel Proposition 16.3. The work is done in the regular moment-map class. The reduction is a spectral duality argument. CMH(4)\mathrm{CMH}(4) itself is not proved, and neither is a strict nonimplication between CMH and KLS. The passage beyond the regular class is only a conditional template, deferred to Proposition 15.1.

  1. The Stein identity div⁡μH=−p\Div_\mu H=-p makes LμL_\mu symmetric and nonpositive with Dirichlet form E⟨H∇f,∇g⟩\E\inner{H\nabla f}{\nabla g} (Lemma D30.1).

  2. Bochner identity: E(Lμg)2=E[⟨H∇g,∇g⟩+Tr⁡(HD2gHD2g)]\E(L_\mu g)^2=\E[\inner{H\nabla g}{\nabla g}+\Tr(HD^2gHD^2g)]. It uses the total symmetry (D30.5) of the moment map (Proposition D30.1) and is not needed for step 3.

  3. Endpoint: pairing ff with the spectrally truncated A−1f\Aop^{-1}f and applying Cauchy–Schwarz gives CPaff≤CCMH\CPaff\le\CMH (Theorem D30.1). This uses only step 1.

  4. Hodge: H∇gH\nabla g splits orthogonally into Σ∇A1−1h\Sigma\nabla\Aop_1^{-1}h and a divergence-free ww (Proposition D30.2), using (D30.13). The first channel is exactly CPaff\CPaff, and ww is the only possible gap (Corollary D30.1).

  5. Linear test functions show that CMH(4)\mathrm{CMH}(4) implies gate zero. Lemma D30.2 isolates the commutator. An explicit random H⪰0H\succeq0 with EH=Id\E H=\Id satisfies the Letwin matrix bound but has λmax⁡(EH2)>4\lmax(\E H^2)>4 for m≥18m\ge18 (Proposition D30.3). It is not claimed to be a moment-map Hessian, so Conjecture 16.1 is not refuted (Corollary D30.2).

Scope. This dossier discharges Remark 15.2 of Chapter The moment map: the deterministic inequality: it fixes every operator datum in the schematic Route C endpoint ∥Σ−1/2H∇g∥22≤4∥−Lg∥22\norm{\Sigma^{-1/2}H\nabla g}_2^2\le4\norm{-Lg}_2^2 and proves the reduction to the affine Poincaré inequality. It then proves two structural facts about the resulting statement: that it dominates the affine Poincaré constant and has an additional solenoidal channel in dimension at least two (without proving a strict nonimplication), and that its linear-sector consequence is not implied by Letwin’s constant-matrix estimate through matrix algebra alone. It does not prove CMH(4)\mathrm{CMH}(4), which remains open (Conjecture 16.1 is only its necessary linear sector).

Standing hypotheses. μ\mu is a centered, full-dimensional log-concave probability measure on Rn\R^n with density ρ=e−V/Z\rho=e^{-V}/Z and covariance Σ=Cov⁡μ≻0\Sigma=\Cov_\mu\succ0, lying in the regular moment-map class of §Moment-map coordinates: the moment potential φ\varphi of (4.1) is smooth and strictly convex, ∇φ\nabla\varphi is a diffeomorphism, and the integrations by parts below are justified for compactly supported fields or fields of vanishing normal flux, the general case following by completion. HH is the moment-map Hessian in target coordinates (4.19), so that H=H⊤≻0H=H^\top\succ0, div⁡μH=−p\Div_\mu H=-p, and EμH=Σ\E_\mu H=\Sigma. The final paragraph records a conditional limiting template. Existence of approximants with all the required uniformity, affine-support control, and limiting core density is the separate open Proposition 15.1, not a theorem of this dossier.

1. The operator data

Define the Stein generator and its nonnegative form

Lμg=div⁡μ(H∇g)=Tr⁡(HD2g)−p⋅∇g,A=−Lμ,div⁡μu=ρ−1div⁡(ρu).L_\mu g=\Div_\mu(H\nabla g)=\Tr(HD^2g)-p\cdot\nabla g, \qquad \Aop=-L_\mu, \qquad \Div_\mu u=\rho^{-1}\Div(\rho u).

That the same measure μ\mu appears in the form and in the generator is exactly the Stein identity div⁡μH=−p\Div_\mu H=-p; this is what makes Definition 16.1 canonical rather than a choice of reference measure.

2. The Bochner identity

For μ\mu Gaussian, H=IdH=\Id and the proposition specializes to the familiar Ornstein–Uhlenbeck identity E(Lg)2=E[∣∇g∣2+∥D2g∥HS2]\E(Lg)^2=\E[\abs{\nabla g}^2+\norm{D^2g}_{\HS}^2]. This is a calibration of the formula; the proof above is analytic and uses no numerical evidence.

3. The endpoint reduction

4. The Hodge content: the affine channel and the solenoidal excess

Let

A1=−div⁡μ(Σ∇ ⋅ )\Aop_1=-\Div_\mu(\Sigma\nabla\,\cdot\,)

be the closed nonnegative self-adjoint operator associated with the covariance form

EΣ(f,k)=Eμ⟨Σ∇f,∇k⟩,Dom⁡(EΣ)=HΣ1(μ),\calE_\Sigma(f,k)=\E_\mu\inner{\Sigma\nabla f}{\nabla k}, \qquad \Dom(\calE_\Sigma)=H^1_\Sigma(\mu),

and set L02(μ)=(ker⁡A1)⊥L^2_0(\mu)=(\ker\Aop_1)^\perp. The support is connected and Σ≻0\Sigma\succ0, so ker⁡A1\ker\Aop_1 consists of the constants. Moreover CPaff(μ)<∞\CPaff(\mu)<\infty for each fixed full-dimensional log-concave probability measure (only a dimension-free bound is open). Consequently the restriction of A1\Aop_1 to L02(μ)L^2_0(\mu) has a bounded, everywhere-defined inverse

A1−1:L02(μ)⟶Dom⁡(A1)∩L02(μ).\Aop_1^{-1}:L^2_0(\mu)\longrightarrow \Dom(\Aop_1)\cap L^2_0(\mu).

5. Gate zero and the algebraic countermodel

Testing (16.5) on g(p)=a⋅pg(p)=a\cdot p (so D2g=0D^2g=0, Lμg=−a⋅pL_\mu g=-a\cdot p) gives E(Lμg)2=a⊤Σa\E(L_\mu g)^2=a^\top\Sigma a and numerator a⊤E[HΣ−1H]aa^\top\E[H\Sigma^{-1}H]a. Hence CMH(4)\mathrm{CMH}(4) implies gate zero, E[HΣ−1H]⪯4Σ\E[H\Sigma^{-1}H]\preceq4\Sigma, i.e. EH2⪯4Id\E H^2\preceq4\Id in isotropic position (Conjecture 16.1).

Obstructions respected. Route C carries no bounded_by edges: the six obstruction statements of the manuscript are scoped by their own statements to the fixed-cut Eldan program. The one with a method-level reach beyond it, rem:projection-ceiling, forbids proving quadratic-chaos thin shell from radial or projection information alone; nothing above uses projection tests — the endpoint reduction is a duality argument and the countermodel is exact finite-dimensional algebra. Remark 16.1 records that gate zero is an operator-to-trace upgrade of the same family as conj:trace-upgrade and conj:product-alignment; per the single-owner discipline of CLAUDE.md, no claim of equivalence with those nodes is made here.

Numerical status. The cmh-gate-zero numerics target computes λmax⁡(Σ−1/2E[HΣ−1H]Σ−1/2)\lmax(\Sigma^{-1/2}\E[H\Sigma^{-1}H]\Sigma^{-1/2}) in closed form on one-dimensional laws, products, and from exact moment matrices on the Dirichlet family, and regression-tests the sector identities of Proposition D30.3. Only an exact rational certificate may refute Conjecture 16.1; floating eigenvalues and Galerkin optima are directional. The current battery lies inside already-proved classes and contributes nothing to the analytic theorems above.

Conditional template beyond the regular class. Let μq\mu_q be the regular approximants from §Sources, chosen so that μq→μ\mu_q\to\mu with second moments and therefore Σq→Σ\Sigma_q\to\Sigma. If sup⁡qCCMH(μq)≤C\sup_q\CMH(\mu_q)\le C, Theorem D30.1 applied to a fixed f∈Cc∞f\in C_c^\infty gives

Var⁡μqf≤C∫⟨Σq∇f,∇f⟩ dμq.\Var_{\mu_q}f\le C\int\inner{\Sigma_q\nabla f}{\nabla f}\,d\mu_q.

The two sides converge because ff and ∇f\nabla f are bounded and continuous and the second moments converge. Subject to a limiting HΣ1(μ)H^1_\Sigma(\mu) core-density theorem, the endpoint argument then extends the inequality to the full Sobolev domain. No continuity of CCMH\CMH is used or claimed. A complete proof must still construct approximants with the asserted moment and affine-support behavior and justify this density passage; those obligations are precisely Proposition 15.1.