Results 31 to 40 of about 44,706 (312)

Almost sure exponential stability of the Euler–Maruyama approximations for stochastic functional differential equations [PDF]

open access: yes, 2011
By the continuous and discrete nonnegative semimartingale convergence theorems, this paper investigates conditions under which the Euler–Maruyama (EM) approximations of stochastic functional differential equations (SFDEs) can share the almost sure ...
Wu, Fuke   +5 more
core   +1 more source

Some contributions to stochastic differential equations [PDF]

open access: yes, 2022
This thesis elaborates topics on a type of McKean–Vlasov stochastic differential equations and forward–backward stochastic differential equations arising from physics models. Mainly, this thesis is divided into three parts.
Yao, Yuhan
core   +2 more sources

Patchwork sampling of stochastic differential equations [PDF]

open access: yesPhysical Review E, 2016
We propose a method to sample stationary properties of solutions of stochastic differential equations, which is accurate and efficient if there are rarely visited regions or rare transitions between distinct regions of the state space. The method is based on a complete, non-overlapping partition of the state space into patches on which the stochastic ...
Kürsten, Rüdiger, Behn, Ulrich
openaire   +3 more sources

On the almost sure running maxima of solutions of affine stochastic functional differential equations [PDF]

open access: yes, 2010
This paper studies the large fluctuations of solutions of scalar and finite-dimensional affine stochastic functional differential equations with finite memory as well as related nonlinear equations.
Wu, H., Appleby, John A.D., Mao, Xuerong
core   +1 more source

Averaging Principle for Caputo Fractional Stochastic Differential Equations Driven by Fractional Brownian Motion with Delays

open access: yesComplexity, 2021
In this article, we investigate a class of Caputo fractional stochastic differential equations driven by fractional Brownian motion with delays. Under some novel assumptions, the averaging principle of the system is obtained.
Pengju Duan, Hao Li, Jie Li, Pei Zhang
doaj   +1 more source

A Dynamic Competition Analysis of Stochastic Fractional Differential Equation Arising in Finance via Pseudospectral Method [PDF]

open access: yes, 2023
This research focuses on the analysis of the competitive model used in the banking sector based on the stochastic fractional differential equation. For the approximate solution, a pseudospectral technique is utilized for the proposed model based on the ...
Sami Ullah Khan, Ishtiaq Ali
core   +1 more source

Maximum principle for a stochastic delayed system involving terminal state constraints

open access: yesJournal of Inequalities and Applications, 2017
We investigate a stochastic optimal control problem where the controlled system is depicted as a stochastic differential delayed equation; however, at the terminal time, the state is constrained in a convex set.
Jiaqiang Wen, Yufeng Shi
doaj   +1 more source

On Caputo–Katugampola Fractional Stochastic Differential Equation

open access: yesMathematics, 2022
We consider the following stochastic fractional differential equation CD0+α,ρφ(t)=κϑ(t,φ(t))w˙(t), 00 represents the noise level. The main result of the paper focuses on the energy growth bound and the asymptotic behaviour of the random solution ...
McSylvester Ejighikeme Omaba   +1 more
doaj   +1 more source

Square-Mean Asymptotically Almost Periodic Solutions for a Class of Fractional Stochastic Differential Equation

open access: yesJournal of Harbin University of Science and Technology
The study of the properties for fractional stochastic differential equation is one of the hot directions in the field of mathematics over the years.
YAO Huili, LIU Mengran, WANG Jingnan
doaj   +1 more source

Construction of special soliton solutions to the stochastic Riccati equation

open access: yesOpen Mathematics, 2022
A scheme for the analytical stochastization of ordinary differential equations (ODEs) is presented in this article. Using Itô calculus, an ODE is transformed into a stochastic differential equation (SDE) in such a way that the analytical solutions of the
Navickas Zenonas   +4 more
doaj   +1 more source

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