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Preprint in the OpenAI Math release

Pointwise Multiple Ergodic Averages for Mixing Transformations

OpenAI

Abstract

Let T be an invertible mixing probability-preserving transformation. For every integer n ≥ 2 and every fixed tuple of bounded measurable functions, we prove that the consecutive multiple ergodic averages of length n converge almost everywhere to the product of the integrals, as the averaging length tends to infinity through all positive integers. The probability space need not be standard, and no rate of mixing is required.

open until 1 Jan 2028

est. 50% chance this result is independently verified by the end of 2027.

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