Divergence of weighted square averages in L1

被引:0
|
作者
Buczolich, Zoltan [1 ]
Eisner, Tanja [2 ]
机构
[1] Eotvos Lorand Univ, Dept Anal, Pazmany Peter Setany 1-C, H-1117 Budapest, Hungary
[2] Univ Leipzig, Inst Math, POB 100 920, D-04009 Leipzig, Germany
关键词
Pointwise ergodic theorems; Averages along squares; Polynomial weights; Divergence; POINTWISE ERGODIC THEOREM; DOUBLE RECURRENCE; NORM CONVERGENCE; UNIFORMITY; SEQUENCES; SZEMEREDI; POLYNOMIALS; SPACINGS; PRIMES; LP;
D O I
10.1016/j.aim.2021.107727
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We study convergence of ergodic averages along squares with polynomial weights. For a given polynomial P is an element of Z[center dot], consider the set of all theta is an element of [0, 1) such that for every ergodic system ( X, mu, T) there is a function f is an element of L-1( X, mu) such that the weighted averages along squares 1/N Sigma(N)(n=1)e(P(n)theta)Tn(2) f diverge on a set with positive measure. We show that this set is residual and includes the rational numbers as well as a dense set of Liouville numbers. On one hand, this extends the divergence result for unweighted averages along squares in L-1 of the first author and Mauldin; on the other hand, it shows that the convergence result for linear weights for squares in L-p, p > 1, due to Bourgain as well as the second author and Krause does not hold for p = 1. (C) 2021 The Author(s). Published by Elsevier Inc.
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页数:19
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