Stochastic Dynamics for SDE or SPDE with Fractional Brownian Motion

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "Probability and Statistics".

Deadline for manuscript submissions: closed (10 November 2023) | Viewed by 1478

Special Issue Editor


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Guest Editor
Department of Mathematics, South China University of Technology, Guangzhou 510640, China
Interests: random dynamical systems; fractional Brownian motion; rough path theory; random attractors; invariant manifolds

Special Issue Information

Dear Colleagues,

In recent decades, mathematical tools and concepts associated to fractional Brownian motion have been established, since it is neither a Markov process nor a semimartingale. There are several approaches to define the stochastic integral with respect to fractional Brownian motion, many beautiful theories on stochastic dynamics for Brownian motion are extended to fractional Brownian motion cases. Especially, several new tools and techniques are proposed to study the stochastic dynamics for stochastic (partial) differential equations.

This Special Issue aims to highlight high-quality contributions in the form of original research articles, reviews or expository papers dealing with the recent advances in 'Stochastic Dynamics for SDE or SPDE with Fractional Brownian Motion'. We welcome the submission of theoretical and practice-related application relating to fractional Brownian motion. The topics of interest for this Special Issue include but are not limited to: 

  • Stochastic calculus with fractional Brownian motion;
  • Stochastic stability and stochastic bifurcation with fractional Brownian motion;
  • Random attractors for SPDE with fractional Brownian motion;
  • Stochastic periodic solution with fractional Brownian motion;
  • Invariant manifolds with fractional Brownian motion;
  • Average principle with fractional Brownian motion;
  • Rough paths theory with fractional Brownian motion.

Dr. Caibin Zeng
Guest Editor

Manuscript Submission Information

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Keywords

  • fractional Brownian motion
  • rough paths theory
  • random attractors
  • invariant manifolds
  • average principle

Published Papers (1 paper)

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Research

21 pages, 343 KiB  
Article
Well-Posedness of Backward Stochastic Differential Equations with Jumps and Irregular Coefficients
by Mhamed Eddahbi
Fractal Fract. 2024, 8(1), 26; https://doi.org/10.3390/fractalfract8010026 - 29 Dec 2023
Viewed by 1089
Abstract
In this paper, we focus on investigating the well-posedness of backward stochastic differential equations with jumps (BSDEJs) driven by irregular coefficients. We establish new results regarding the existence and uniqueness of solutions for a specific class of singular BSDEJs. Unlike previous studies, our [...] Read more.
In this paper, we focus on investigating the well-posedness of backward stochastic differential equations with jumps (BSDEJs) driven by irregular coefficients. We establish new results regarding the existence and uniqueness of solutions for a specific class of singular BSDEJs. Unlike previous studies, our approach considers terminal data that are square-integrable, eliminating the need for them to be necessarily bounded. The generators in our study encompass a standard drift, a signed measure across the entire real line, and the local time of the unknown process. This broadens the scope to include BSDEJs with quadratic growth in the Brownian component and exponential growth concerning the jump noise. The key methodology involves establishing Krylov-type estimates for a subset of solutions to irregular BSDEJs and subsequently proving the Tanaka-Krylov formula. Additionally, we employ a space transformation technique to simplify the initial BSDEJs, leading to a standard form without singular terms. We also provide various examples and special cases, shedding light on BSDEJs with irregular drift coefficients and contributing to new findings in the field. Full article
(This article belongs to the Special Issue Stochastic Dynamics for SDE or SPDE with Fractional Brownian Motion)
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