English

Weak Convergence and Spectrality of Infinite Convolutions

Classical Analysis and ODEs 2022-05-02 v1 Functional Analysis Probability

Abstract

Let {Ak}k=1\{ A_k\}_{k=1}^\infty be a sequence of finite subsets of Rd\mathbb{R}^d satisfying that #Ak2\# A_k \ge 2 for all integers k1k \ge 1. In this paper, we first give a sufficient and necessary condition for the existence of the infinite convolution ν=δA1δA2δAn,\nu =\delta_{A_1}*\delta_{A_2} * \cdots *\delta_{A_n}*\cdots, where all sets AkR+dA_k \subseteq \mathbb{R}_+^d and δA=1#AaAδa\delta_A = \frac{1}{\# A} \sum_{a \in A} \delta_a. Then we study the spectrality of a class of infinite convolutions generated by Hadamard triples in R\mathbb{R} and construct a class of singular spectral measures without compact support. Finally we show that such measures are abundant, and the dimension of their supports has the intermediate-value property.

Keywords

Cite

@article{arxiv.2204.13907,
  title  = {Weak Convergence and Spectrality of Infinite Convolutions},
  author = {Wenxia Li and Jun Jie Miao and Zhiqiang Wang},
  journal= {arXiv preprint arXiv:2204.13907},
  year   = {2022}
}

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23 pages