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arxiv: 0911.3927 · v3 · pith:BCUCL5HJnew · submitted 2009-11-20 · 🧮 math.CA · math.DS

Pointwise Convergence for Subsequences of Weighted Averages

classification 🧮 math.CA math.DS
keywords averagesergodicpointwisesubsequencesubsequencesweightedalongassumptions
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We prove that if $\mu_n$ are probability measures on $Z$ such that $\hat \mu_n$ converges to 0 uniformly on every compact subset of $(0,1)$, then there exists a subsequence $\{n_k\}$ such that the weighted ergodic averages corresponding to $\mu_{n_k}$ satisfy a pointwise ergodic theorem in $L^1$. We further discuss the relationship between Fourier decay and pointwise ergodic theorems for subsequences, considering in particular the averages along $n^2+ \lfloor \rho(n)\rfloor$ for a slowly growing function $\rho$. Under some monotonicity assumptions, the rate of growth of $\rho'(x)$ determines the existence of a "good" subsequence of these averages.

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