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Pointwise convergence of ergodic averages with M\"obius weight
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abstract
Let $(X,\nu,T)$ be a measure-preserving system, and let $P_1,\ldots, P_k$ be polynomials with integer coefficients. We prove that, for any $f_1,\ldots, f_k\in L^{\infty}(X)$, the M\"obius-weighted polynomial multiple ergodic averages \begin{align*}\frac{1}{N}\sum_{n\leq N}\mu(n)f_1(T^{P_1(n)}x)\cdots f_k(T^{P_k(n)}x) \end{align*} converge to $0$ pointwise almost everywhere. Specialising to $P_1(y)=y, P_2(y)=2y$, this solves a problem of Frantzikinakis. We also prove pointwise convergence for a more general class of multiplicative weights for multiple ergodic averages involving distinct degree polynomials. For the proofs we establish some quantitative generalised von Neumann theorems for polynomial configurations that are of independent interest.
Forward citations
Cited by 4 Pith papers
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Prime-weighted polynomial multiple ergodic averages converge pointwise almost everywhere for arbitrary k and distinct-degree integer polynomials, with r-variational estimates for every r > 2.
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Weighted multilinear polynomial averages in finite fields are controlled by the u^(d+1)-norm of the weight, yielding quantitative convergence and new asymptotic formulas for multidimensional rational function progress...
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