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  1. Self-concordance and allocation for spatial power sumsScott SchubrEdition 3 · 2026-11-01 Public
  2. Sharp all-times heat-content comparison and concentration on compact metric graphsScott SchubrEdition 3 · 2026-11-01 Public
  3. Energy-Filtered Dynamical Localization in Constructive Dirichlet TowersScott SchubrEdition 3 · 2026-11-01 Public
  4. Degree-dependent minimax laws for Gaussian factorial momentsScott SchubrEdition 2 · 2026-11-01 Public
  5. A sharp lower bound for adjacent-edge correlations in random subtreesScott SchubrEdition 4 · 2026-11-01 Public
  6. Sharp transport identification with unknown Gaussian covarianceScott SchubrEdition 3 · 2026-11-01 Public
  7. Statistical inference for empirical heat-kernel Sinkhorn metricsScott SchubrEdition 5 · 2026-11-01 Public
  8. First-Hit Stopping and Bias-Corrected Score Inference in Dimension ThreeScott SchubrEdition 5 · 2026-11-01 Public
  9. Sharp Wasserstein Stability for Gaussian Deconvolution of Log-Concave LawsScott SchubrEdition 4 · 2026-11-01 Public
  10. Exact low-brightness minimax risk for quartic Gaussian energyScott SchubrEdition 1 · 2026-11-01 Public
  11. Sharp estimation costs for thermal Gaussian energies with known backgroundScott SchubrEdition 1 · 2026-11-01 Public
  12. Sharp calibration costs for high-order thermal Gaussian energiesScott SchubrEdition 1 · 2026-11-01 Public
  13. A sharp flatness transition for critical heat traces in twisted tubesScott SchubrEdition 1 · 2026-11-01 Public
  14. Prescribed-Gradient Coefficient Stability for Lorentzian PolynomialsScott SchubrEdition 1 · 2026-11-01 Public
  15. Closure correlations in paving and low-corank matroidsScott SchubrEdition 1 · 2026-11-01 Public
  16. Polynomial Recovery and Masking under Weak Exponential TailsScott SchubrEdition 4 · 2026-11-01 Public
  17. Polynomial inertia of signed measures with negative intervalsScott SchubrEdition 3 · 2026-11-01 Public
  18. Holomorphic certification on real subspacesScott SchubrEdition 3 · 2026-11-01 Public
  19. Arithmetic cutoff bounds and sharp tail capacity for local Nyman–Beurling certificatesScott SchubrEdition 5 · 2026-11-01 Public
  20. Optimal unbiased Gaussian quantum estimation and the cost of unknown squeezingScott SchubrEdition 1 · 2026-11-01 Public
  21. Optimal unbiased estimation of polynomial energies in thermal Gaussian statesScott SchubrEdition 3 · 2026-10-31 Public
  22. Unrestricted Half-Power Obstruction and Polynomial Certificates for the Vámos QuarticScott SchubrEdition 5 · 2026-10-31 Public
  23. Dimension thresholds for log-concavity of normalized mixed momentsScott SchubrEdition 3 · 2026-10-31 Public
  24. Uniform Resolvent Asymptotics for Growing Theta-Null Source FamiliesScott SchubrEdition 2 · 2026-10-31 Public

Dimension thresholds for log-concavity of normalized mixed moments

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Abstract

For an arbitrary nonnegative coordinatewise nondecreasing integrable weight of positive integral on a finite d-dimensional box, we prove joint log-concavity of its mixed moments divided by ∏ᵢ Γ(αᵢ + 1) on αᵢ ≥ d/4, d ≥ 2. Finite product grids with ordered log-concave coordinate values and increasing index weights admit the sufficient orthant αᵢ ≥ d/4 + 4. The weights may have dependent coordinates and need only be monotone. A signed-block covariance argument gives larger convex anisotropic domains, allowing large exponents in some coordinates to compensate for smaller ones in others. For example, in dimension 100 it admits continuous exponents (1,100,…,100) and grid exponents (6,100,…,100). Increasing corner weights give counterexamples at common exponent d/4 − O(1), so the universal leading dimension coefficient 1/4 is optimal in both classes. Conditional logarithmic-deficit bounds and elementary trigamma inequalities supply the estimates. The same covariance mechanism yields joint spatial log-concavity for product-power smoothing of arbitrary decreasing densities and arrays, with coordinate-specific power conditions and the same optimal leading common-power coefficient. Exact rational witnesses make the obstructions reproducible. An attributed classical matroid consequence gives a dimension-free binary endpoint, contrasting with the dimension-linear powers required for arbitrary unweighted hereditary binary supports.

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