SPDEs with $\alpha$-stable L\'evy noise: a random field approach
Raluca Balan

TL;DR
This paper develops a theory for solving SPDEs driven by $ ext{α}$-stable Lévy noise, extending stochastic integration methods to handle non-symmetric jumps and establishing moment inequalities for solutions.
Contribution
It introduces a novel stochastic integration framework for $ ext{α}$-stable Lévy noise in SPDEs, generalizing existing methods to higher dimensions and non-symmetric cases.
Findings
Established a stochastic integral with respect to $ ext{α}$-stable Lévy noise.
Proved moment inequalities analogous to Burkholder-Davis-Gundy for these integrals.
Demonstrated the existence and uniqueness of solutions for the SPDEs under consideration.
Abstract
This article is dedicated to the study of an SPDE of the form with zero initial conditions and Dirichlet boundary conditions, where is a Lipschitz function, is a second-order pseudo-differential operator, is a bounded domain in , and is an -stable L\'evy noise with , and possibly non-symmetric tails. To give a meaning to the concept of solution, we develop a theory of stochastic integration with respect to , by generalizing the method of Gin\'e and Marcus (1983) to higher dimensions and non-symmetric tails. The idea is to first solve the equation with "truncated" noise (obtained by removing from the jumps which exceed a fixed value ), yielding a solution , and then show that the solutions coincide on the event…
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Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Financial Risk and Volatility Modeling
