AbstractIn this paper, we study a stochastic fractional Burgers type nonlinear equation driven by a pure jump Lévy space–time white noise with d-dimensional spatial variables x∈Rd. Our equation involves a Markovian generator of a stable-like Feller process with variable order α(x). Under certain polynomial growth conditions, we establish the existence and uniqueness of an Lp(Rd)-valued (local) solution for the initial value problem to our equation. Our approaches are essentially based on the estimates of the fundamental solution to the stable-like Markovian generator and the Lp-theory of the stochastic integral with respect to the pure jump Lévy space–time white noise
In this paper we investigate the existence and uniqueness of semilinear stochastic Volterra equation...
AbstractWe study the dynamics of the Burgers equation on the unit interval driven by affine linear n...
We consider the one dimensional Burgers equation forced by a brownian in space and white noise in ti...
AbstractIn this paper, we study a stochastic fractional Burgers type nonlinear equation driven by a ...
AbstractIn this paper, we study the initial value problem for a class of non-linear stochastic equat...
AbstractIn this paper, we consider the stochastic Burgers' equation driven by a genuine cylindrical ...
We prove the existence and uniqueness of invariant measures for the fractional stochastic Burgers eq...
Röckner M, Zhu R, Zhu X. Local existence and non-explosion of solutions for stochastic fractional pa...
summary:A stochastic affine evolution equation with bilinear noise term is studied, where the drivin...
AbstractWe study the existence and uniqueness of the global mild solution for a stochastic fractiona...
AbstractIn this paper, some explicit solutions are given for stochastic differential equations in a ...
AbstractIn this article we develop an existence and uniqueness theory of variational solutions for a...
AbstractIn this paper we study some linear and quasi-linear stochastic equations with the random fra...
AbstractThe existence and uniqueness are proved for the solutions to a class of stochastic generaliz...
Stochastic Evolution Equations Petr Čoupek Doctoral Thesis Abstract Linear stochastic evolution equa...
In this paper we investigate the existence and uniqueness of semilinear stochastic Volterra equation...
AbstractWe study the dynamics of the Burgers equation on the unit interval driven by affine linear n...
We consider the one dimensional Burgers equation forced by a brownian in space and white noise in ti...
AbstractIn this paper, we study a stochastic fractional Burgers type nonlinear equation driven by a ...
AbstractIn this paper, we study the initial value problem for a class of non-linear stochastic equat...
AbstractIn this paper, we consider the stochastic Burgers' equation driven by a genuine cylindrical ...
We prove the existence and uniqueness of invariant measures for the fractional stochastic Burgers eq...
Röckner M, Zhu R, Zhu X. Local existence and non-explosion of solutions for stochastic fractional pa...
summary:A stochastic affine evolution equation with bilinear noise term is studied, where the drivin...
AbstractWe study the existence and uniqueness of the global mild solution for a stochastic fractiona...
AbstractIn this paper, some explicit solutions are given for stochastic differential equations in a ...
AbstractIn this article we develop an existence and uniqueness theory of variational solutions for a...
AbstractIn this paper we study some linear and quasi-linear stochastic equations with the random fra...
AbstractThe existence and uniqueness are proved for the solutions to a class of stochastic generaliz...
Stochastic Evolution Equations Petr Čoupek Doctoral Thesis Abstract Linear stochastic evolution equa...
In this paper we investigate the existence and uniqueness of semilinear stochastic Volterra equation...
AbstractWe study the dynamics of the Burgers equation on the unit interval driven by affine linear n...
We consider the one dimensional Burgers equation forced by a brownian in space and white noise in ti...