Stochastic heat equations driven by L\'evy processes
Tongkeun Chang, Minsuk Yang

TL;DR
This paper investigates stochastic heat equations driven by Lévy processes, establishing estimates in Sobolev and Besov spaces that extend understanding of solutions under Lévy noise.
Contribution
It provides new a priori estimates for solutions of stochastic heat equations driven by Lévy processes in Sobolev and Besov spaces.
Findings
Established norm estimates for solutions in Sobolev spaces.
Extended analysis to Lévy process-driven stochastic heat equations.
Provided bounds depending on p, T, and function spaces.
Abstract
We study stochastic heat equations driven by a class of L\'evy processes: du = \De u dt + g dX_t \quad in \quad \bR^d_T, \qquad u(0,x)= 0 \quad in \quad x \in \bR^d. We prove the corresponding estimate \[\norm{u}_{\bH_p^k(\RT)} \le c(p,T) \norm{g}_{\bB_p^{k-\frac2p}(\RT)}\] for and .
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations · Stochastic processes and financial applications
