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On random multilinear operator inequalities

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arxiv 1108.5655 v1 pith:FMXKPC5P submitted 2011-08-29 math.CA

classification math.CA
keywords randommultilinearprincipleanaloguesapplicationsappropriateclassescorollaries
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It is a well known general principle that the Fourier transform of a random measure is small, except at the zero frequency, in various senses for appropriate notions of randomness. In this note we develop analogues of this principle for two classes of random multilinear operators. Two ergodic theoretic applications, involving correlations over randomly generated sparse subsequences, are obtained as corollaries of the main results.

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  1. Randomly piercing algebraic sets

    math.NT 2026-06 unverdicted novelty 7.0 of 10

    Sharp threshold result showing Θ(n²) random points in F_p^n pierce all algebraic sets defined by ≤s polynomials of degree ≤k, with application to random Szemerédi theorem.

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