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.
Institutions
- University of Nis (RS)
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
- 0.00