analysis / Ergodic theory; multiple ergodic averages

Pointwise convergence of multiple ergodic averages for mixing transformations

Claims Theorem 1.1: for every invertible mixing probability-preserving TT (no standardness, no mixing rate), every n≥2n\ge2 and bounded f1,…,fnf_1,\dots,f_n, 1N∑k≤N∏jfj(Tjkx)→∏j∫fj\frac1N\sum_{k\le N}\prod_j f_j(T^{jk}x)\to\prod_j\int f_j almost everywhere along all NN. Companions treat n=3,4n=3,4 and three distinct nonzero slopes of either sign for mixing TT. Lemma 2.5 of the principal manuscript also states almost-everywhere convergence of averages of at most three functions at distinct positive slopes on every standard system, derived from the companion's oscillation estimate. It does NOT settle the general question for n≥4n\ge4 on non-mixing systems, nor polynomial iterates.

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analysisOct 4, 2026Significance 40/100Registry: unreviewed

Pointwise convergence of multiple ergodic averages for mixing transformations

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Claims Theorem 1.1: for every invertible mixing probability-preserving TT (no standardness, no mixing rate), every n≥2n\ge2 and bounded f1,…,fnf_1,\dots,f_n, 1N∑k≤N∏jfj(Tjkx)→∏j∫fj\frac1N\sum_{k\le N}\prod_j f_j(T^{jk}x)\to\prod_j\int f_j almost everywhere along all NN. Companions treat n=3,4n=3,4 and three distinct nonzero slopes of either sign for mixing TT. Lemma 2.5 of the principal manuscript also states almost-everywhere convergence of…

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Claims Theorem 1.1: for every invertible mixing probability-preserving TT (no standardness, no mixing rate), every n≥2n\ge2 and bounded f1,…,fnf_1,\dots,f_n, 1N∑k≤N∏jfj(Tjkx)→∏j∫fj\frac1N\sum_{k\le N}\prod_j f_j(T^{jk}x)\to\prod_j\int f_j almost everywhere along all NN. Companions treat n=3,4n=3,4 and three distinct nonzero slopes of either sign for mixing TT. Lemma 2.5 of the principal manuscript also states almost-everywhere convergence of averages of at most three functions at distinct positive slopes on every standard system, derived from the companion's oscillation estimate. It does NOT settle the general question for n≥4n\ge4 on non-mixing systems, nor polynomial iterates.

Claims Theorem 1.1: for every invertible mixing probability-preserving TT (no standardness, no mixing rate), every n≥2n\ge2 and bounded f1,…,fnf_1,\dots,f_n, 1N∑k≤N∏jfj(Tjkx)→∏j∫fj\frac1N\sum_{k\le N}\prod_j f_j(T^{jk}x)\to\prod_j\int f_j almost everywhere along all NN. Companions treat n=3,4n=3,4 and three distinct nonzero slopes of either sign for mixing TT. Lemma 2.5 of the principal manuscript also states almost-everywhere convergence of averages of at most three functions at distinct positive slopes on every standard system, derived from the companion's oscillation estimate. It does NOT settle the general question for n≥4n\ge4 on non-mixing systems, nor polynomial iterates.

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