Image measures of infinite product measures and generalized Bernoulli convolutions

dc.creatorSergio, Albeverio
dc.creatorGrygoriy, Torbin
dc.date2003-08-04
dc.date2003-08-05
dc.date.accessioned2026-07-07T05:00:04Z
dc.date.available2026-07-07T05:00:04Z
dc.descriptionWe examine measure preserving mappings $f$ acting from a probability space $(Ω, F,μ) $ into a probability space $% (Ω^{*},F^{*},μ^{*}) ,$ where $μ^{*}=μ(f^{-1})$. Conditions on $f$, under which $f$ preserves the relations ''to be singular'' and ''to be absolutely continuous'' between measures defined on $(Ω, F) $ and corresponding image measures, are investigated. We apply the results to investigate the distribution of the random variable $% ξ=\sum\limits^{\infty}_{k=1} ξ_kλ^k,$ where $% λ\in (0;1),$ and $ξ_k$ are independent not necessarily identically distributed random variables taking the values $i$ with probabilities $% p_{ik}$ ,$i=0,1.$ We also studied in details the metric-topological and fractal properties of the distribution of a random variable $ψ= \sum\limits^{\infty}_{k=1} ξ_ka_k,$ where $a_k>0$ are terms of the convergent series.
dc.description15 pages
dc.identifierhttps://arxiv.org/abs/math/0308025
dc.identifierhttp://arxiv.org/abs/math/0308025
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/68236
dc.subjectProbability
dc.subjectDynamical Systems
dc.subject60G30; 30B20
dc.titleImage measures of infinite product measures and generalized Bernoulli convolutions
dc.typetext

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