Pathwise solutions to stochastic partial differential equations driven by fractional Brownian motions with Hurst parameters in $(1/3,1/2]$
Mar\'ia J. Garrido-Atienza, Kening Lu, Bj\"orn Schmalfuss

TL;DR
This paper develops a framework combining fractional calculus and rough path theory to establish existence and uniqueness of solutions for stochastic PDEs driven by fractional Brownian motion with Hurst parameters in (1/3, 1/2], extending classical stochastic integration methods.
Contribution
It introduces a novel pathwise integral and a second variable tensor approach to analyze SPDEs driven by fractional Brownian motion in the specified Hurst range.
Findings
Proves existence and uniqueness of solutions under smoothness conditions.
Constructs a new stochastic integral generalizing Young's integral.
Develops a tensor-based second variable for rough path analysis.
Abstract
Combining fractional calculus and the Rough Path Theory we study the existence and uniqueness of mild solutions to evolutions equations driven by a H\"older continuous function with H\"older exponent in . Our stochastic integral is in some sense a generalization of the well-known Young integral and can be defined independently of the initial condition. Similar to the Rough Path Theory we establish a second variable which is given, roughly speaking, by a tensor product. It is then necessary to formulate a second equation for this new variable, and we do in a mild sense. The crucial point in order to get this new equation is to construct a tensor depending on the noise path but also on the semigroup. We then prove the existence of a unique H\"older continuous solution of the system of equations, consisting of the path and the area components, if the nonlinear term and the…
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Navier-Stokes equation solutions
