Results 21 to 30 of about 2,363 (92)
Regularity of the density for the stochastic heat equation [PDF]
We study the smoothness of the density of a semilinear heat equation with multiplicative spacetime white noise. Using Malliavin calculus, we reduce the problem to a question of negative moments of solutions of a linear heat equation with multiplicative ...
Mueller, Carl, Nualart, David
core +3 more sources
This paper is concerned with the study of the rate of convergence of the distribution of the maximum likelihood estimator of a parameter appearing linearly in the drift coefficients of two types of stochastic partial differential equations (SPDEs).
M. N. Mishra, B. L. S. Prakasa Rao
wiley +1 more source
Gradient estimates for the fundamental solution of Lévy type operator
We prove a gradient estimate and the Hölder continuity of the gradient for the fundamental solution of a class of α-stable type operators with α ∈ (0, 1), which improve known results in the literature where the condition α > 1/2 is commonly assumed.
Liu Wei, Song Renming, Xie Longjie
doaj +1 more source
On a stochastic Burgers equation with Dirichlet boundary conditions
We consider the one‐dimensional Burgers equation perturbed by a white noise term with Dirichlet boundary conditions and a non‐Lipschitz coefficient. We obtain existence of a weak solution proving tightness for a sequence of polygonal approximations for the equation and solving a martingale problem for the weak limit.
Ekaterina T. Kolkovska
wiley +1 more source
An Asymptotic Comparison of Two Time-homogeneous PAM Models [PDF]
Both Wick-Ito-Skorokhod and Stratonovich interpretations of the parabolic Anderson model (PAM) lead to solutions that are real analytic as functions of the noise intensity e, and, in the limit e->0, the difference between the two solutions is of order e ...
Kim, Hyun-Jung, Lototsky, Sergey V.
core +3 more sources
Stochastic flows with interaction and measure‐valued processes
We consider the new class of the Markov measure‐valued stochastic processes with constant mass. We give the construction of such processes with the family of the probabilities which describe the motion of single particles. We also consider examples related to stochastic flows with the interactions and the local times for such processes.
Andrey A. Dorogovtsev
wiley +1 more source
This paper focuses on a nonlinear second-order stochastic evolution equations driven by a fractional Brownian motion (fBm) with Poisson jumps and which is dependent upon a family of probability measures.
McKibben Mark A., Webster Micah
doaj +1 more source
Regularity and Sensitivity for McKean-Vlasov Type SPDEs Generated by Stable-like Processes [PDF]
In this paper we study the sensitivity of nonlinear stochastic differential equations of McKean-Vlasov type generated by stable-like processes. By using the method of stochastic characteristics, we transfer these equations to the non-stochastic equations
Kolokoltsov, Vassili, Troeva, Marianna
core +3 more sources
A Haussmann‐Clark‐Ocone formula for functionals of diffusion processes with Lipschitz coefficients
We establish a martingale representation formula for functionals of diffusion processes with Lipschitz coefficients, as stochastic integrals with respect to the Brownian motion.
Khaled Bahlali +2 more
wiley +1 more source
Linear‐implicit strong schemes for Itô‐Galkerin approximations of stochastic PDEs
Linear‐implicit versions of strong Taylor numerical schemes for finite dimensional Itô stochastic differential equations (SDEs) are shown to have the same order as the original scheme. The combined truncation and global discretization error of an γ strong linear‐implicit Taylor scheme with time‐step Δ applied to the N dimensional Itô‐Galerkin SDE for a
P. E. Kloeden, S. Shott
wiley +1 more source

