On measures driven by Markov chains
classification
🧮 math.CA
math.MG
keywords
measuresdimensiondrivenmarkovapproachbernoullichainchains
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We study measures on $[0,1]$ which are driven by a finite Markov chain and which generalize the famous Bernoulli products. We propose a hands-on approach to determine the structure function $\tau$ and to prove that the multifractal formalism is satisfied. Formulas for the dimension of the measures and for the Hausdorff dimension of their supports are also provided.
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