On the Hausdorff Dimension of Bernoulli Convolutions
classification
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betabernoullientropygarsiaconvolutionsdimensionhausdorffmathrm
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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 $\mathrm{dim}_\mathrm{H} (\nu_\beta)=1$.
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Cited by 1 Pith paper
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$L^q$ dimensions of self-similar measures, and applications: a survey
Survey presents a formula for L^q dimensions of self-similar measures with exponential separation and reviews applications to Bernoulli convolutions.
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