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Stability Analysis for a Class of Stochastic Differential Equations with Impulses

open access: yesMathematics, 2023
This paper is concerned with the problem of asymptotic stability for a class of stochastic differential equations with impulsive effects. A sufficient criterion on asymptotic stability is derived for such impulsive stochastic differential equations via ...
Mingli Xia   +3 more
doaj   +2 more sources

Analytical Solutions for Multi-Time Scale Fractional Stochastic Differential Equations Driven by Fractional Brownian Motion and Their Applications [PDF]

open access: yesEntropy, 2018
In this paper, we investigate analytical solutions of multi-time scale fractional stochastic differential equations driven by fractional Brownian motions.
Xiao-Li Ding, Juan J. Nieto
doaj   +2 more sources

Stochastic Differential Equations

open access: yesArbitrage Theory in Continuous Time, 2019
Abstract In this chapter we introduce stochastic differential equations (SDEs) and discuss existence and uniqueness questions. The geometric and linear equations are studied in some detail and their most important properties are derived. We then discuss the connection between SDEs and partial differential equations (PDEs).
V. Lakshmikantham, S.G. Deo
semanticscholar   +4 more sources

Image Restoration with Mean-Reverting Stochastic Differential Equations [PDF]

open access: yesInternational Conference on Machine Learning, 2023
This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration. The key construction consists in a mean-reverting SDE that transforms a high-quality image into a degraded counterpart as a mean state with fixed
Ziwei Luo   +4 more
semanticscholar   +1 more source

Conservative Continuous-Stage Stochastic Runge–Kutta Methods for Stochastic Differential Equations

open access: yesFractal and Fractional, 2023
In this paper, we develop a new class of conservative continuous-stage stochastic Runge–Kutta methods for solving stochastic differential equations with a conserved quantity. The order conditions of the continuous-stage stochastic Runge–Kutta methods are
Xiuyan Li   +3 more
doaj   +1 more source

Stochastic Runge–Kutta methods for multi-dimensional Itô stochastic differential algebraic equations

open access: yesResults in Applied Mathematics, 2021
In this paper, we discuss the numerical solutions to index 1 stochastic differential algebraic equations. We introduce a new class of weak second-order stochastic Runge–Kutta methods for finding the numerical approximate solutions to multi-dimensional ...
Priya Nair, Anandaraman Rathinasamy
doaj   +1 more source

A sufficient maximum principle for backward stochastic systems with mixed delays

open access: yesMathematical Biosciences and Engineering, 2023
In this paper, we study the problem of optimal control of backward stochastic differential equations with three delays (discrete delay, moving-average delay and noisy memory). We establish the sufficient optimality condition for the stochastic system. We
Heping Ma, Hui Jian , Yu Shi
doaj   +1 more source

Distribution dependent stochastic differential equations [PDF]

open access: yesFrontiers of Mathematics in China, 2020
Due to their intrinsic link with nonlinear Fokker-Planck equations and many other applications, distribution dependent stochastic differential equations (DDSDEs) have been intensively investigated.
Xing Huang, Panpan Ren, Feng-Yu Wang
semanticscholar   +1 more source

Optimal harvesting for a stochastic competition system with stage structure and distributed delay

open access: yesElectronic Journal of Qualitative Theory of Differential Equations, 2021
A stochastic competition system with harvesting and distributed delay is investigated, which is described by stochastic differential equations with distributed delay.
Yue Zhang, Jing Zhang
doaj   +1 more source

An Averaging Principle for Mckean–Vlasov-Type Caputo Fractional Stochastic Differential Equations

open access: yesJournal of Mathematics, 2021
In this paper, we want to establish an averaging principle for Mckean–Vlasov-type Caputo fractional stochastic differential equations with Brownian motion.
Weifeng Wang   +3 more
doaj   +1 more source

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