A Sobolev Space Theory for Time-Fractional Stochastic Partial Differential Equations Driven by Lévy Processes

Kyeong Hun Kim, Daehan Park

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

We present an Lp-theory (p≥2) for semi-linear time-fractional stochastic partial differential equations driven by Lévy processes of the type (Formula presented.) given with nonzero initial data. Here, ∂tα and ∂tβ are the Caputo fractional derivatives, (Formula presented.) and {Ztk:k=1,2,…} is a sequence of independent Lévy processes. The coefficients are random functions depending on (t, x). We prove the uniqueness and existence results in Sobolev spaces and obtain the maximal regularity of the solution. As an application, we also obtain an Lp-regularity theory of the equation (Formula presented.) where Z˙t is a multi-dimensional Lévy space-time white noise with space dimension d<4-2(2β-2/p)+α. In particular, if β<α/4+1/p, then one can take d=1,2,3.

Original languageEnglish
Pages (from-to)671-720
Number of pages50
JournalJournal of Theoretical Probability
Volume37
Issue number1
DOIs
Publication statusPublished - 2024 Mar

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.

Keywords

  • 35R60
  • 45D05
  • 60H15
  • Lévy processes
  • Maximal L-regularity
  • Stochastic partial differential equations
  • Time-fractional derivatives

ASJC Scopus subject areas

  • Statistics and Probability
  • General Mathematics
  • Statistics, Probability and Uncertainty

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