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Pointwise ergodic theorems for non-conventional bilinear averages along $(\lfloor n^c\rfloor,-\lfloor n^c\rfloor)$

Leonidas Daskalakis

TL;DR

This work proves the first pointwise convergence result for bilinear ergodic averages taken along deterministic sparse orbits with modulation invariance, covering averages $ rac{1}{N} extstyle\sum_{n=1}^N f(T^{ loor{n^c}}x) g(T^{- loor{n^c}}x)$ for $c o(1,23/22)$ and more generally orbits $ loor{h(n)}$ with $h ext{ in }\\mathcal{R}_c$. The authors reduce the problem to a main term that matches Bourgain's bilinear averages plus a controlled error term, then develop a Fourier-analytic and Gowers-norm framework to bound the error. A key technical achievement is establishing $L^1$-type decay for a dyadic kernel via a $U^3$-norm analysis and exponential-sum estimates, enabling a Calderón-type transference to the ergodic setting. The results extend the scope of pointwise bilinear convergence to sparse deterministic orbits and lay groundwork for further exploration of modulation-invariant phenomena in multilinear ergodic theory.

Abstract

For every $c\in(1,23/22)$ and every probability dynamical system $(X,\mathcal{B},μ,T)$ we prove that for any $f,g\in L^{\infty}_μ(X)$ the bilinear ergodic averages \[ \frac{1}{N}\sum_{n=1}^Nf(T^{\lfloor n^c\rfloor}x)g(T^{-\lfloor n^c\rfloor}x)\quad\text{converge for $μ$-a.e. $x\in X$.} \] In fact, we consider more general sparse orbits $(\lfloor h(n)\rfloor,-\lfloor h(n)\rfloor)_{n\in\mathbb{N}}$, where $h$ belongs to the class of the so-called $c$-regularly varying functions. This is the first pointwise result for bilinear ergodic averages taken along deterministic sparse orbits where modulation invariance is present.

Pointwise ergodic theorems for non-conventional bilinear averages along $(\lfloor n^c\rfloor,-\lfloor n^c\rfloor)$

TL;DR

This work proves the first pointwise convergence result for bilinear ergodic averages taken along deterministic sparse orbits with modulation invariance, covering averages for and more generally orbits with . The authors reduce the problem to a main term that matches Bourgain's bilinear averages plus a controlled error term, then develop a Fourier-analytic and Gowers-norm framework to bound the error. A key technical achievement is establishing -type decay for a dyadic kernel via a -norm analysis and exponential-sum estimates, enabling a Calderón-type transference to the ergodic setting. The results extend the scope of pointwise bilinear convergence to sparse deterministic orbits and lay groundwork for further exploration of modulation-invariant phenomena in multilinear ergodic theory.

Abstract

For every and every probability dynamical system we prove that for any the bilinear ergodic averages In fact, we consider more general sparse orbits , where belongs to the class of the so-called -regularly varying functions. This is the first pointwise result for bilinear ergodic averages taken along deterministic sparse orbits where modulation invariance is present.

Paper Structure

This paper contains 6 sections, 13 theorems, 92 equations.

Key Result

Theorem 1.3

Assume $c\in(1,23/22)$. Let $(X,\mathcal{B},\mu)$ be a probability space and $T\colon X\to X$ an invertible $\mu$-invariant transformation. Then for every $f,g\in L_{\mu}^{\infty}(X)$ we have that

Theorems & Definitions (27)

  • Theorem 1.3
  • Definition 1.6: $c$-regularly varying functions
  • Theorem 1.7
  • Lemma 2.1
  • proof
  • Lemma 2.3
  • proof
  • Theorem 2.6: Toeplitz theorem
  • proof
  • Proposition 2.8
  • ...and 17 more