Image measures of infinite product measures and generalized Bernoulli convolutions

We examine measure preserving mappings $f$ acting from a probability space $(\Omega, F,\mu)$ into a probability space $$ where $\mu ^{*}=\mu (f^{-1})$. Conditions on $f$, under which $f$ preserves the relations ''to be singular'' and ''to be absolutely continuous'' between measures defined on $(\Omega, F)$ and corresponding image measures, are investigated. We apply the results to investigate the distribution of the random variable $$ where $$ and $\xi_k$ are independent not necessarily identically distributed random variables taking the values $i$ with probabilities $$ ,$i=0,1.$ We also studied in details the metric-topological and fractal properties of the distribution of a random variable $\psi = \sum\limits^{\infty}_{k=1} \xi _ka_k,$ where $a_k>0$ are terms of the convergent series.