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The Entropy of Cantor--like measures

Research paper by Kathryn E. Hare, Kevin G. Hare, Brian P. M. Morris, Wanchun Shen

Indexed on: 29 Sep '18Published on: 29 Sep '18Published in: arXiv - Mathematics - Metric Geometry



Abstract

By a Cantor-like measure we mean the unique self-similar probability measure $\mu $ satisfying $\mu =\sum_{i=0}^{m-1}p_{i}\mu \circ S_{i}^{-1}$ where $% S_{i}(x)=\frac{x}{d}+\frac{i}{d}\cdot \frac{d-1}{m-1}$ for integers $2\leq d<m\le 2d-1$ and probabilities $p_{i}>0$, $\sum p_{i}=1$. In the uniform case ($p_{i}=1/m$ for all $i$) we show how one can compute the entropy and Hausdorff dimension to arbitrary precision. In the non-uniform case we find bounds on the entropy.