English

Shot-down stable processes

Probability 2026-01-05 v2 Analysis of PDEs Functional Analysis

Abstract

The shot-down process is a strong Markov process which is annihilated, or shot down, when jumping over or to the complement of a given open subset of a vector space. Due to specific features of the shot-down time, such processes suggest new type of boundary conditions for nonlocal differential equations. In this work we construct the shot-down process for the fractional Laplacian in Euclidean space. For smooth bounded sets DD, we study its transition density and characterize Dirichlet form. We show that the corresponding Green function is comparable to that of the fractional Laplacian with Dirichlet conditions on DD. However, for nonconvex DD, the transition density of the shot-down stable process is incomparable with the Dirichlet heat kernel of the fractional Laplacian for DD.

Keywords

Cite

@article{arxiv.2301.12290,
  title  = {Shot-down stable processes},
  author = {Krzysztof Bogdan and Kajetan Jastrzȩbski and Moritz Kassmann and Michał Kijaczko and Paweł Popławski},
  journal= {arXiv preprint arXiv:2301.12290},
  year   = {2026}
}

Comments

35 pages, Section 6 omitted in this version because the example did not have the mean-value property

R2 v1 2026-06-28T08:24:56.572Z