Stable processes, self-similarity and the unit ball
Andreas E. Kyprianou

TL;DR
This paper reviews classical and recent identities related to isotropic stable processes within the unit ball, combining potential analysis and self-similar Markov process theories to deepen understanding and present new proofs.
Contribution
It unifies classical potential analytical identities with modern self-similar Markov process perspectives, offering new proofs and extending existing results.
Findings
Revisits classical identities for isotropic stable processes
Combines potential analysis with self-similar Markov process theory
Provides new proofs and extensions of known results
Abstract
Around the 1960s a celebrated collection of papers emerged offering a number of explicit identities for the class of isotropic stable processes in one and higher dimensions; these include, for example, the lauded works of Blumenthal, Getoor, Ray, Port and Rogozin. Amongst other things, these results nicely exemplify the use of standard Riesz potential theory on the unit open ball , and with the, then, modern theory of potential analysis for Markov processes. Following initial observations of Lamperti in 1972, with the occasional sporadic work of Kiu, Vuolle-Apiala and Graversen in the 1980s, an alternative understanding of stable processes through the theory of self-similar Markov processes has prevailed in the last decade or more. This point of view offers deeper…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods
