On the Fourier transform of random Bernoulli convolutions

Fuente: arXiv
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Auteurs principaux: Baker, Simon, Koivusalo, Henna, Troscheit, Sascha, Zhang, Xintian
Format: Preprint
Publié: 2025
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author Baker, Simon
Koivusalo, Henna
Troscheit, Sascha
Zhang, Xintian
author_facet Baker, Simon
Koivusalo, Henna
Troscheit, Sascha
Zhang, Xintian
contents We investigate random Bernoulli convolutions, namely, probability measures given by the infinite convolution \[ μ_ω= \mathop{\circledast}_{k=1}^{\infty} \left( \frac{δ_0 + δ_{λ_1 λ_2 \ldots λ_{k-1} λ_k}}{2} \right), \] where $ω=(λ_k)$ is a sequence of i.i.d. random variables each following the uniform distribution on some fixed interval. We study the regularity of these measures and prove that when $\exp\mathbb{E}\left( \log λ_1\right)>\frac{2}π, $ the Fourier transform $\widehatμ_ω$ is an $L^{1}$ function almost surely. This in turn implies that the corresponding random self-similar set supporting $μ_ω$ has non-empty interior almost surely. This improves upon a previous bound due to Peres, Simon and Solomyak. Furthermore, under no assumptions on the value of $\exp \mathbb{E}(\log λ_1), $ we prove that $\widehat μ_ω$ will decay to zero at a polynomial rate almost surely.
format Preprint
id arxiv_https___arxiv_org_abs_2507_21605
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On the Fourier transform of random Bernoulli convolutions
Baker, Simon
Koivusalo, Henna
Troscheit, Sascha
Zhang, Xintian
Dynamical Systems
Probability
37H12 (Primary) 42A38, 28A80 (Secondary)
We investigate random Bernoulli convolutions, namely, probability measures given by the infinite convolution \[ μ_ω= \mathop{\circledast}_{k=1}^{\infty} \left( \frac{δ_0 + δ_{λ_1 λ_2 \ldots λ_{k-1} λ_k}}{2} \right), \] where $ω=(λ_k)$ is a sequence of i.i.d. random variables each following the uniform distribution on some fixed interval. We study the regularity of these measures and prove that when $\exp\mathbb{E}\left( \log λ_1\right)>\frac{2}π, $ the Fourier transform $\widehatμ_ω$ is an $L^{1}$ function almost surely. This in turn implies that the corresponding random self-similar set supporting $μ_ω$ has non-empty interior almost surely. This improves upon a previous bound due to Peres, Simon and Solomyak. Furthermore, under no assumptions on the value of $\exp \mathbb{E}(\log λ_1), $ we prove that $\widehat μ_ω$ will decay to zero at a polynomial rate almost surely.
title On the Fourier transform of random Bernoulli convolutions
topic Dynamical Systems
Probability
37H12 (Primary) 42A38, 28A80 (Secondary)
url https://arxiv.org/abs/2507.21605