Results 21 to 30 of about 44,590 (312)

Triviality of the 2D stochastic Allen-Cahn equation [PDF]

open access: yes, 2012
We consider the stochastic Allen-Cahn equation driven by mollified space-time white noise. We show that, as the mollifier is removed, the solutions converge weakly to 0, independently of the initial condition.
H. Weber   +8 more
core   +1 more source

Approximate solutions of stochastic differential delay equations with Markovian switching [PDF]

open access: yes, 2010
Our main aim is to develop the existence theory for the solutions to stochastic differential delay equations with Markovian switching (SDDEwMSs) and to establish the convergence theory for the Euler-Maruyama approximate solutions under the local ...
Li, Xiaoyue   +4 more
core   +1 more source

Well-posedness of stochastic heat equation with distributional drift and skew stochastic heat equation [PDF]

open access: yes, 2020
We study stochastic reaction--diffusion equation ∂tut(x)=12∂2xxut(x)+b(ut(x))+W˙t(x),t>0,x∈D where b is a generalized function in the Besov space Bβq,∞(R), D⊂R and W˙ is a space-time white noise on R+×D.
Butkovsky, O.   +8 more
core   +1 more source

STATIONARY SOLUTIONS OF STOCHASTIC DIFFERENTIAL EQUATIONS WITH MEMORY AND STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS

open access: yesCommunications in Contemporary Mathematics, 2005
We explore Itô stochastic differential equations where the drift term possibly depends on the infinite past. Assuming the existence of a Lyapunov function, we prove the existence of a stationary solution assuming only minimal continuity of the coefficients.
Bakhtin, Y, Mattingly, JC
openaire   +2 more sources

Mathematica code for numerical generation of random process with given distribution and exponential autocorrelation function

open access: yesSoftwareX, 2018
Stochastic simulations commonly require random process generation with a predefined probability density function (PDF) and an exponential autocorrelation function (ACF).
D. Bykhovsky
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

Boundary Value Problems for Stochastic Differential Equations [PDF]

open access: yes, 1968
A theory of two-point boundary value problems analogous to the theory of initial value problems for stochastic ordinary differential equations whose solutions form Markov processes is developed.
MacDowell, Thomas William
core   +1 more source

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

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

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

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