Uniform dimension results for a family of Markov processes
classification
🧮 math.PR
keywords
processesdimensionresultsuniformfamilyhausdorffmarkovpacking
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In this paper we prove uniform Hausdorff and packing dimension results for the images of a large family of Markov processes. The main tools are the two covering principles of Xiao (second author). As applications, uniform Hausdorff and packing dimension results for certain classes of L\'evy processes, stable jump diffusion and non-symmetric stable-like processes are obtained.
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