Time fractional stochastic differential equations driven by pure jump L\'evy noise
Peixue Wu, Zhiwei Yang, Hong Wang, Renming Song

TL;DR
This paper introduces a novel variable order time fractional stochastic differential equation driven by pure jump Lévy noise, modeling particles with memory effects, and establishes well-posedness, moment estimates, and regularity of solutions.
Contribution
It is the first to analyze such equations driven by pure jump Lévy noise without integrability assumptions, providing foundational results on existence, estimates, and regularity.
Findings
Proved well-posedness without integrability conditions
Derived $L^p$ moment estimates for solutions
Established Hölder regularity of solutions
Abstract
In this paper we introduce a variable order time fractional differential equation driven by pure jump L\'evy noise, which models the motion of a particle exhibiting memory effect. We prove the well-posedness of this equation without assuming any integrability condition on the initial condition and the large jump coefficient, by using a truncation argument. Under some extra conditions, we also derive some moment estimates on the solutions. As an application of moment estimates, we prove the H\"older regularity of the solutions.
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Taxonomy
TopicsStochastic processes and financial applications · Nonlinear Differential Equations Analysis · Fractional Differential Equations Solutions
