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A small-gap fourth-moment bound

Part of the fixed-eigenfunction mechanism, Chapter The fixed eigenfunction: following one eigenfunction through localization; the reading order is on the full proofs page.

Overview. This dossier proves Lemma 21.5 as Theorem D16.1. The result is an implication from a uniform Poincaré constant KnK_n for isotropic log-concave laws (Assumption D16.1): a normalized first eigenfunction of a regular isotropic approximant with λ≤3/(8Kn)\lambda\le3/(8K_n) satisfies Eμf4≤2\E_\mu f^4\le2. The intended instantiation Kn=CKlog⁡nK_n=C_K\log n is the published import Theorem 26.2, which is cited, not proved. The dossier notes that ledger acceptance of this import is pending, and it does not use Theorem 25.1. The proof bootstraps an eigenvalue–energy identity through the Poincaré inequality applied to f2f^2.

  1. Hypercontractivity under strong log-concavity gives Eμf4<∞\E_\mu f^4<\infty. This bound depends on ε\varepsilon and is used only for finiteness.

  2. Pairing the eigenequation with truncated cubes, and passing to the limit by monotone convergence, gives λEμf4=3Eμ[f2∣∇f∣2]\lambda\E_\mu f^4=3\E_\mu[f^2\abs{\nabla f}^2] ((D16.9)).

  3. Assumption D16.1 applied to h=f2h=f^2 gives (D16.10).

  4. Substituting step 2 into step 3 under λ≤3/(8Kn)\lambda\le3/(8K_n) gives Ef4−1≤12Ef4\E f^4-1\le\tfrac12\E f^4. Finiteness from step 1 then yields (D16.5).

  5. Remarks: the self-bootstrap with K=1/λK=1/\lambda never closes, so the external input is needed (Remark D16.1). The large-gap branch is left to the consuming assembly (Remark D16.2).

Refined statement and standing. The lemma is an unconditional implication: it assumes a uniform Poincaré constant KnK_n for isotropic log-concave laws in dimension nn and bootstraps a dimension-free fourth moment for first eigenfunctions whose gap is small on the scale 1/Kn1/K_n. Its intended instantiation is the published frontier Kn=CKlog⁡nK_n=C_K\log n (n≥2n\ge2): Klartag Klartag, 2023 proves the Cheeger constant bound ψn≤Clog⁡n\psi_n\le C\sqrt{\log n}, and Cheeger’s inequality converts it into CP≤CKlog⁡n\CP\le C_K\log n for every isotropic log-concave probability on Rn\R^n. This instantiation is the import node thm:klartag-logn (published import; ledger acceptance pending as of this dossier’s date); it is cited, not proved, here. No unreviewed preprint input occurs anywhere in this dossier; in particular Theorem 25.1 is not used.

Obstructions respected. The candidate node carries no bounded_by edge; the registered route fences were checked individually. The argument is static and cut-free: no slice, excess, or localized isoperimetric estimate occurs (rem:two-tail-slice-bounds, rem:profile-circularity, rem:single-coordinate-cuts); no projection or radial test is promoted to a tensor bound (rem:projection-ceiling); no covariance occupation functional appears (rem:crude-insufficient, rem:relative-ceiling). Regarding rem:relative-ceiling specifically: the a priori input here is the published frontier constant KnK_n, used to produce a strictly weaker downstream output, not an all-measure relative occupation premise. The covariance-spike fence is untouched (no localization occurs).

References
  1. Klartag, B. (2023). Logarithmic Bounds for Isoperimetry and Slices of Convex Sets. Ars Inveniendi Analytica, 2023(4), 1–17. 10.15781/jsjy-0b06
  2. Bakry, D., & Émery, M. (1985). Diffusions hypercontractives. Séminaire de Probabilités de Strasbourg, 19, 177–206.
  3. Bakry, D., Gentil, I., & Ledoux, M. (2014). Analysis and Geometry of Markov Diffusion Operators (Vol. 348). Springer. 10.1007/978-3-319-00227-9