Invariant densities for random ß-expansions
Invariant densities for random ß-expansions
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DOI:
10.4171/jems/76
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发表时间:
2007-03
影响因子:
2.6
通讯作者:
K. Dajani;M. D. Vries
中科院分区:
文献类型:
--
作者:
K. Dajani;M. D. Vries
Let $\beta >1$ be a non-integer. We consider expansions of the form $\sum_{i=1}^{\infty} \frac{d_i}{\beta^i}$, where the digits $(d_i)_{i \geq 1}$ are generated by means of a Borel map $K_{\beta}$ defined on $\{0,1\}^{\N}\times \left[ 0, \lfloor \beta \rfloor /(\beta -1)\right]$. We show existence and uniqueness of an absolutely continuous $K_{\beta}$-invariant probability measure w.r.t. $m_p \otimes \lambda$, where $m_p$ is the Bernoulli measure on $\{0,1\}^{\N}$ with parameter $p$ $( 0 < p < 1)$ and $\lambda$ is the normalized Lebesgue measure on $[0 ,\lfloor \beta \rfloor /(\beta -1)]$. Furthermore, this measure is of the form $m_p \otimes \mu_{\beta,p}$, where $\mu_{\beta,p}$ is equivalent with $\lambda$. We establish the fact that the measure of maximal entropy and $m_p \otimes \lambda$ are mutually singular. In case $1$ has a finite greedy expansion with positive coefficients, the measure $m_p \otimes \mu_{\beta,p}$ is Markov. In the last section we answer a question concerning the number of universal expansions, a notion introduced in [EK].