Pointwise ergodic theorems for non-conventional bilinear polynomial averages
Ben Krause, Mariusz Mirek, Terence Tao

TL;DR
This paper proves convergence and variational inequalities for non-conventional bilinear polynomial ergodic averages, advancing understanding of multiple recurrence and ergodic theorems with new techniques from harmonic analysis and additive combinatorics.
Contribution
It establishes norm and pointwise convergence for bilinear polynomial ergodic averages and extends results to broader exponent ranges, solving open problems in ergodic theory.
Findings
Proved convergence of bilinear polynomial ergodic averages in norm and pointwise.
Established r-variational inequalities at lacunary scales for these averages.
Extended the range of exponents where convergence holds, breaking duality constraints.
Abstract
We establish convergence in norm and pointwise almost everywhere for the non-conventional (in the sense of Furstenberg) bilinear polynomial ergodic averages \[ A_N(f,g)(x) := \frac{1}{N} \sum_{n =1}^N f(T^nx) g(T^{P(n)}x)\] as , where is a measure-preserving transformation of a -finite measure space , is a polynomial of degree , and for some with . We also establish an -variational inequality for these averages (at lacunary scales) in the optimal range . We are also able to "break duality" by handling some ranges of exponents with , at the cost of increasing slightly. This gives an affirmative answer to Problem 11 from Frantzikinakis' open…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Markov Chains and Monte Carlo Methods · Mathematical Approximation and Integration
