We investigate the well-posedness of a class of stochastic second-order in time damped evolution equations in Hilbert spaces, subject to the constraint that the solution lie within the unitary sphere. Then, we focus on a specific example, the stochastic damped wave equation in a bounded domain of a $d$-dimensional Euclidean space, endowed with the Dirichlet boundary condition, with the added constraint that the $L^2$-norm of the solution is equal to one. We introduce a small mass $\mu>0$ in front of the second-order derivative in time and examine the validity of a Smoluchowski-Kramers diffusion approximation. We demonstrate that, in the small mass limit, the solution converges to the solution of a stochastic parabolic equation subject to th...
We discuss here the validity of the small mass limit (the so-called Smoluchowski-Kramers approximati...
This thesis contributes towards the maximal-in-time well-posedness theory of three nonlinear dispers...
This dissertation studies some problems for stochastic partial differential equations, in particular...
We investigate the well-posedness of a class of stochastic second-order in time damped evolution equ...
We investigate the convergence, in the small mass limit, of the stationary solutions of a class of s...
We study the Cauchy problem for the nonlinear wave equations (NLW) with random data and/or stochasti...
We prove that semilinear stochastic abstract wave equations, including wave and plate equations, are...
We prove a characterization of the support of the law of the solution for a stochastic wave equation...
In [12], the author studied stochastic nonlinear heat equations and stochastic nonlinear wave equati...
We prove well-posedness for doubly nonlinear parabolic stochastic partial differential equations of ...
This dissertation is devoted to the study of some aspects of the theory of stochastic partial differ...
Cataloged from PDF version of article.We study a class of systems of stochastic differential equatio...
Stochastic partial differential equations (SPDEs) can be used to model systems in a wide variety of ...
In recent study of partial differential equations (PDEs) with random initial data and singular stoch...
We prove existence and uniqueness of strong solutions for a class of semilinear stochastic evolution...
We discuss here the validity of the small mass limit (the so-called Smoluchowski-Kramers approximati...
This thesis contributes towards the maximal-in-time well-posedness theory of three nonlinear dispers...
This dissertation studies some problems for stochastic partial differential equations, in particular...
We investigate the well-posedness of a class of stochastic second-order in time damped evolution equ...
We investigate the convergence, in the small mass limit, of the stationary solutions of a class of s...
We study the Cauchy problem for the nonlinear wave equations (NLW) with random data and/or stochasti...
We prove that semilinear stochastic abstract wave equations, including wave and plate equations, are...
We prove a characterization of the support of the law of the solution for a stochastic wave equation...
In [12], the author studied stochastic nonlinear heat equations and stochastic nonlinear wave equati...
We prove well-posedness for doubly nonlinear parabolic stochastic partial differential equations of ...
This dissertation is devoted to the study of some aspects of the theory of stochastic partial differ...
Cataloged from PDF version of article.We study a class of systems of stochastic differential equatio...
Stochastic partial differential equations (SPDEs) can be used to model systems in a wide variety of ...
In recent study of partial differential equations (PDEs) with random initial data and singular stoch...
We prove existence and uniqueness of strong solutions for a class of semilinear stochastic evolution...
We discuss here the validity of the small mass limit (the so-called Smoluchowski-Kramers approximati...
This thesis contributes towards the maximal-in-time well-posedness theory of three nonlinear dispers...
This dissertation studies some problems for stochastic partial differential equations, in particular...