Robust Analysis of Perturbed Backward Doubly Stochastic Differential Equations

A large class of backward doubly stochastic differential equations whose coefficients are linearly perturbed is observed in this paper. Their solutions are compared in the L^p-sense (p ≥ 2) with the solutions of the appropriate unperturbed equations of the same type, under the most global non-Lipschitz condition for the coefficients of the equations. Also, an interval [t̅(η), T] ⊂ [0, T], on which the L^p difference between the solutions of perturbed and unperturbed equations is less than a given value η, is established.

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Publication Details

Journal
Markov Processes And Related Fields
Published
2025-05-06
DOI
https://doi.org/10.61102/1024-2953-mprf.2025.31.1.002
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
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article

Robust Analysis of Perturbed Backward Doubly Stochastic Differential Equations

Markov Processes And Related Fields
Stochastic processes and financial applications
article

Robust Analysis of Perturbed Backward Doubly Stochastic Differential Equations

article en

Abstract

A large class of backward doubly stochastic differential equations whose coefficients are linearly perturbed is observed in this paper. Their solutions are compared in the L^p-sense (p ≥ 2) with the solutions of the appropriate unperturbed equations of the same type, under the most global non-Lipschitz condition for the coefficients of the equations. Also, an interval [t̅(η), T] ⊂ [0, T], on which the L^p difference between the solutions of perturbed and unperturbed equations is less than a given value η, is established.

Markov Processes And Related Fields(2025 №1 (31))
University of Nis (RS)
Openalex Percentile: Top 88%
Stochastic processes and financial applications
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Robust Analysis of Perturbed Backward Doubly Stochastic Differential Equations · Markov Processes And Related Fields (2025) | TGRS Research Map | TGRS