Strong solutions of stochastic differential equations with coefficients in mixed-norm spaces
Chengcheng Ling, Longjie Xie

TL;DR
This paper establishes the existence and uniqueness of strong solutions for stochastic differential equations with coefficients in mixed-norm spaces, extending previous results by Krylov, R"ockner, and Zhang.
Contribution
It introduces a new approach to handle coefficients in mixed-norm spaces for stochastic differential equations, broadening the class of equations with known strong solutions.
Findings
Proves existence of strong solutions in mixed-norm coefficient spaces.
Establishes uniqueness of solutions under new conditions.
Extends classical results to more general coefficient spaces.
Abstract
By studying parabolic equations in mixed-norm spaces, we prove the existence and uniqueness of strong solutions to stochastic differential equations driven by Brownian motion with coefficients in spaces with mixed-norm, which extends Krylov and R\"ockner's result in [11] and Zhang's result in [18].
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Stochastic processes and financial applications · Stability and Controllability of Differential Equations
