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Estimates of moments and tails of Gaussian chaoses

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abstract

We derive two-sided estimates on moments and tails of Gaussian chaoses, that is, random variables of the form $\sum a_{i_1,...,i_d}g_{i_1}... g_{i_d}$, where $g_i$ are i.i.d. ${\mathcal{N}}(0,1)$ r.v.'s. Estimates are exact up to constants depending on $d$ only.

fields

math.PR 1

years

2026 1

verdicts

UNVERDICTED 1

representative citing papers

Finite-Order Hilbertian Gaussian Random Tensor Estimates

math.PR · 2026-06-28 · unverdicted · novelty 6.0

Establishes that the L^p(Ω; S_r) norm of a finite-order decoupled homogeneous Gaussian chaos operator is bounded by C_m (p+r)^{m/2} times the maximum oriented Schatten flattening norm of its kernel.

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  • Finite-Order Hilbertian Gaussian Random Tensor Estimates math.PR · 2026-06-28 · unverdicted · none · ref 8 · internal anchor

    Establishes that the L^p(Ω; S_r) norm of a finite-order decoupled homogeneous Gaussian chaos operator is bounded by C_m (p+r)^{m/2} times the maximum oriented Schatten flattening norm of its kernel.