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Shigeki Akiyama, De-Jun Feng, Tom Kempton, Tomas Persson, On the Hausdorff Dimension of Bernoulli Convolutions, International Mathematics Research Notices, Volume 2020, Issue 19, October 2020, Pages 6569–6595, https://doi.org/10.1093/imrn/rny209
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Abstract
We give an expression for the Garsia entropy of Bernoulli convolutions in terms of products of matrices. This gives an explicit rate of convergence of the Garsia entropy and shows that one can calculate the Hausdorff dimension of the Bernoulli convolution |$\nu _{\beta }$| to arbitrary given accuracy whenever |$\beta $| is algebraic. In particular, if the Garsia entropy |$H(\beta )$| is not equal to |$\log (\beta )$| then we have a finite time algorithm to determine whether or not |$\operatorname{dim_H} (\nu _{\beta })=1$|.
