AbstractWe consider semilinear stochastic evolution equations driven by a cylindrical Wiener process. They can be used as models for stochastic reaction-diffusion systems. Under certain conditions we prove existence, uniqueness and ergodicity of the invariant measure and the strong law of large numbers. For this purpose a Girsanov type theorem is also proved. These results are applied to stochastic-reaction diffusion equations appearing in physics
We consider a Markov process X in a Hilbert space H, solution of a semilinear stochastic evolution e...
© Springer Science+Business Media New York 2015 Abstract In this paper, we investigate the long-time...
summary:The ergodic behaviour of homogeneous strong Feller irreducible Markov processes in Banach sp...
AbstractWe consider semilinear stochastic evolution equations driven by a cylindrical Wiener process...
Stochastic partial differential equations have proven useful in many applied areas of mathematics, s...
This work consists of four chapters on some aspects of stochastic semilinear evolution equations (SP...
AbstractThe pathwise uniqueness of stochastic evolution equations driven by Q-Wiener processes is ma...
We consider a class of semilinear stochastic evolution equations driven by an additive cylindrical s...
AbstractA semilinear parabolic equation on Rd with a non-additive random perturbation is studied. Th...
This work consists of four chapters on some aspects of stochastic semilinear evolution equations (SP...
We establish well-posedness in the mild sense for a class of stochastic semilinear evolution equatio...
In this paper we present a general method to study stochastic equations for a broader class of drivi...
AbstractWe prove convergence of the solutions Xn of semilinear stochastic evolution equations on a B...
We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilber...
This thesis presents several results about stochastic partial differential equations. The main subje...
We consider a Markov process X in a Hilbert space H, solution of a semilinear stochastic evolution e...
© Springer Science+Business Media New York 2015 Abstract In this paper, we investigate the long-time...
summary:The ergodic behaviour of homogeneous strong Feller irreducible Markov processes in Banach sp...
AbstractWe consider semilinear stochastic evolution equations driven by a cylindrical Wiener process...
Stochastic partial differential equations have proven useful in many applied areas of mathematics, s...
This work consists of four chapters on some aspects of stochastic semilinear evolution equations (SP...
AbstractThe pathwise uniqueness of stochastic evolution equations driven by Q-Wiener processes is ma...
We consider a class of semilinear stochastic evolution equations driven by an additive cylindrical s...
AbstractA semilinear parabolic equation on Rd with a non-additive random perturbation is studied. Th...
This work consists of four chapters on some aspects of stochastic semilinear evolution equations (SP...
We establish well-posedness in the mild sense for a class of stochastic semilinear evolution equatio...
In this paper we present a general method to study stochastic equations for a broader class of drivi...
AbstractWe prove convergence of the solutions Xn of semilinear stochastic evolution equations on a B...
We prove pathwise (hence strong) uniqueness of solutions to stochastic evolution equations in Hilber...
This thesis presents several results about stochastic partial differential equations. The main subje...
We consider a Markov process X in a Hilbert space H, solution of a semilinear stochastic evolution e...
© Springer Science+Business Media New York 2015 Abstract In this paper, we investigate the long-time...
summary:The ergodic behaviour of homogeneous strong Feller irreducible Markov processes in Banach sp...