Ergodic averages and the large intersection property along IP sets

We study multiple ergodic averages along IP sets, meaning we restrict iterates in the averages to all finite sums of some infinite sequence of natural numbers. We give criteria for convergence and divergence in mean of these multiple averages and derive sufficient conditions for convergence to the projection onto the space of invariant functions. For a class of sequences that, roughly speaking, only have rational obstructions to such a limit, we show that the behavior is controlled by nilsystems. We also consider pointwise convergence, obtaining convergence and a formula for a set of functions on nilsystems that are dense in $L^2$. Finally, we show that certain correlations have optimally large intersections along an IP set

Publication Details

Journal
ArXiv.org
Published
2025-06-21
Primary Topic
Mathematical Dynamics and Fractals
Type
article
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article

Ergodic averages and the large intersection property along IP sets

ArXiv.org
Mathematical Dynamics and Fractals
article

Ergodic averages and the large intersection property along IP sets

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Abstract

We study multiple ergodic averages along IP sets, meaning we restrict iterates in the averages to all finite sums of some infinite sequence of natural numbers. We give criteria for convergence and divergence in mean of these multiple averages and derive sufficient conditions for convergence to the projection onto the space of invariant functions. For a class of sequences that, roughly speaking, only have rational obstructions to such a limit, we show that the behavior is controlled by nilsystems. We also consider pointwise convergence, obtaining convergence and a formula for a set of functions on nilsystems that are dense in $L^2$. Finally, we show that certain correlations have optimally large intersections along an IP set

ArXiv.org
Openalex Percentile: Top 45%
Mathematical Dynamics and Fractals
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Ergodic averages and the large intersection property along IP sets · ArXiv.org (2025) | TGRS Research Map | TGRS