Abstract
This paper proves sharp bounds on the tails of the Lévy exponent of an operator semistable law on \({\mathbb R^d}\). These bounds are then applied to explicitly compute the Hausdorff and packing dimensions of the range, graph, and other random sets describing the sample paths of the corresponding operator semi-selfsimilar Lévy processes. The proofs are elementary, using only the properties of the Lévy exponent, and certain index formulae.
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The work of Peter Kern was supported by Deutsche Forschungsgemeinschaft (DFG) under Grant KE1741/6-1. Mark M. Meerschaert was partially supported by ARO Grant W911NF-15-1-0562 and NSF Grants DMS-1462156 and EAR-1344280. Yimin Xiao was partially supported by NSF Grants DMS-1307470, DMS-1309856 and DMS-1612885.
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Kern, P., Meerschaert, M.M. & Xiao, Y. Asymptotic Behavior of Semistable Lévy Exponents and Applications to Fractal Path Properties. J Theor Probab 31, 598–617 (2018). https://doi.org/10.1007/s10959-016-0720-6
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DOI: https://doi.org/10.1007/s10959-016-0720-6
Keywords
- Lévy exponent
- Operator semistable process
- Semi-selfsimilarity
- Hausdorff dimension
- Packing dimension
- Range
- Graph
- Multiple points
- Recurrence
- Transience