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The resampling form and the simplex root obstruction

Part of the conditional-fiber mechanism, Chapter Conditional fibers: inverse-variance frames of line resamplings; the reading order is on the full proofs page.

Overview. This dossier proves Lemma 22.1 and Proposition 22.1. For an even tight frame ρ\rho it builds the conditional-fiber quadratic form Dμ,ρ\mathcal D_{\mu,\rho} from line disintegrations of μ\mu, shows it is a closed Markovian Dirichlet form with an explicit generator on a sufficient domain, compares it with the Dirichlet energy with factor 4 when μ\mu is log-concave, and calibrates it on linear, Gaussian and product examples. Separately, it shows that the even root frame on the uniform simplex has form gap at most 12/m212/m^2, so this particular frame cannot give a dimension-free gap.

  1. Joint measurability and independence of representatives for the fiber data (D1.3), via orthogonal Fubini (D1.11).

  2. Pair-jump representation (D1.14) and the factorization (D1.15), giving closedness, density (via Lipschitz functions), the Markov property and reversibility.

  3. On the sufficient Bochner domain (D1.7), the generator formula (D1.8) and its pointwise resampling form (D1.19).

  4. The one-dimensional estimate from Theorem 17.1, applied on each fiber and averaged with the frame identity (D1.1), gives (D1.9). Hence a form gap 1/C1/C implies CP≤4CC_P\le4C.

  5. Calibration: linear functions satisfy (D1.10). Wiener chaos gives gap one for the Gaussian, and Efron–Stein gives gap one for products in the coordinate frame.

  6. For the simplex, Dirichlet neutrality gives the root-form formula (D1.29). Vertex-cap indicators have finite energy and Rayleigh quotient (D1.31), which yields (D1.32). This refutes only the root frame on the simplex. It does not refute Conjecture 22.1 or KLS.

Scope and refined statement. We work in a dd-dimensional Euclidean space, identified with Rd\R^d when coordinates are needed. Let μ\mu be a full-dimensional probability with a Borel density rr and finite second moment. Let ρ\rho be an even Borel probability on Sd−1S^{d-1} satisfying

d∫Sd−1θθT dρ(θ)=Id.d\int_{S^{d-1}}\theta\theta^T\dd\rho(\theta)=I_d.

The finite-moment hypothesis is automatic in the isotropic log-concave application. It is included explicitly because the normalization uses conditional second moments and because the linear calibration is an L2L^2 statement.

For θ∈Sd−1\theta\in S^{d-1}, write πθ=Pθ⊥\pi_\theta=P_{\theta^\perp} and set, on the incidence bundle Id={(θ,z):z∈θ⊥}\mathcal I_d=\{(\theta,z):z\in\theta^\perp\},

Zθ(z)=∫Rr(z+tθ) dt, dμˉθ(z)=Zθ(z) dz.Z_\theta(z)=\int_\R r(z+t\theta)\dd t, \qquad \dd\bar\mu_\theta(z)=Z_\theta(z)\dd z.

On the set of fibers for which 0<Zθ(z)<∞0<Z_\theta(z)<\infty and the first two tt-moments are finite, define

 dμθ,z(t)=r(z+tθ)Zθ(z) dt,mθ(z)=∫t dμθ,z(t),σθ2(z)=∫(t−mθ(z))2 dμθ,z(t).\dd\mu_{\theta,z}(t)=\frac{r(z+t\theta)}{Z_\theta(z)}\dd t, \quad m_\theta(z)=\int t\dd\mu_{\theta,z}(t), \quad \sigma_\theta^2(z)=\int(t-m_\theta(z))^2\dd\mu_{\theta,z}(t).

On every remaining fiber use the fixed fallback δ0\delta_0 and put mθ(z)=σθ2(z)=0m_\theta(z)=\sigma_\theta^2(z)=0. A zero or nonfinite conditional variance is assigned weight zero. Thus

wθ(z+tθ)={σθ(z)−2,0<σθ2(z)<∞,0,otherwise.w_\theta(z+t\theta) =\begin{cases} \sigma_\theta(z)^{-2},&0<\sigma_\theta^2(z)<\infty,\\ 0,&\text{otherwise}. \end{cases}

For f∈L2(μ)f\in L^2(\mu) define the extended quadratic form

Dμ,ρ[f]=d∫Sd−1∫θ⊥Var⁡μθ,z(f(z+Tθ))σθ2(z) dμˉθ(z) dρ(θ),\mathcal D_{\mu,\rho}[f] =d\int_{S^{d-1}}\int_{\theta^\perp} \frac{\Var_{\mu_{\theta,z}}(f(z+T\theta))} {\sigma_\theta^2(z)} \dd\bar\mu_\theta(z)\dd\rho(\theta),

with the same zero convention, and take the maximal domain

Dom⁡(Dμ,ρ)={f∈L2(μ):Dμ,ρ[f]<∞}.\Dom(\mathcal D_{\mu,\rho}) =\{f\in L^2(\mu):\mathcal D_{\mu,\rho}[f]<\infty\}.

We now prove the separate root-frame obstruction. It is useful to keep its normalization fully explicit because the singular pair rate is the entire mechanism.

Fence and conclusion audit. Neither ledger node has a bounded_by edge. The structural theorem uses the proved one-dimensional log-concave estimate in Theorem 17.1; it has no unresolved premise. The factor-4 inequality has the direction D≤4∫∣∇f∣2\mathcal D\le4\int|\nabla f|^2, so a lower spectral gap for one fixed frame is a sufficient condition for KLS, not a consequence of KLS and not an equivalent reformulation.

Proposition D1.1 refutes only the even Am−1A_{m-1} root frame on the uniform simplex. It does not address the supremum over all admissible frames, does not show that the root frame is optimal even among permutation-invariant frames, and does not refute Conjecture 22.1 or KLS. No numerical evidence and no unpublished premise enters either proof.