AbstractWe prove a relative compactness criterion in Wiener–Sobolev space which represents a natural extension of the compact embedding of Sobolev space H1 into L2, at the level of random fields. Then we give a specific statement of this criterion for random fields solutions of semi-linear stochastic partial differential equations with coefficients bounded in an appropriate way. Finally, we employ this result to construct solutions for semi-linear stochastic partial differential equations with distribution as final condition. We also give a probabilistic interpretation of this solution in terms of backward doubly stochastic differential equations formulated in a weak sense
AbstractIn this paper, we study the existence of random periodic solutions for semilinear SPDEs on a...
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
Hofmanová M, Seidler J. On Weak Solutions of Stochastic Differential Equations. Stochastic Analysis ...
AbstractWe prove a relative compactness criterion in Wiener–Sobolev space which represents a natural...
We prove a relative compactness criterion in Wiener-Sobolev space which represents a natural extensi...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper, we study the existence of random periodic solutions for semilinear SPDEs on a bounded...
In this paper we study the existence and uniqueness of the Lρ2p( ;)×Lρ2(;) valued solutions of backw...
AbstractIn this paper we develop basic elements of Malliavin calculus on a weightedL2(Ω). This class...
AbstractIn this paper, we study the existence of random periodic solutions for semilinear SPDEs on a...
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
Hofmanová M, Seidler J. On Weak Solutions of Stochastic Differential Equations. Stochastic Analysis ...
AbstractWe prove a relative compactness criterion in Wiener–Sobolev space which represents a natural...
We prove a relative compactness criterion in Wiener-Sobolev space which represents a natural extensi...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
AbstractIn this paper we prove two relatively compact criterions in some Lp-spaces(p>1) for the set ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper we study the solvability of backward doubly stochastic differential equations (BDSDEs ...
In this paper, we study the existence of random periodic solutions for semilinear SPDEs on a bounded...
In this paper we study the existence and uniqueness of the Lρ2p( ;)×Lρ2(;) valued solutions of backw...
AbstractIn this paper we develop basic elements of Malliavin calculus on a weightedL2(Ω). This class...
AbstractIn this paper, we study the existence of random periodic solutions for semilinear SPDEs on a...
AbstractI considered if solutions of stochastic differential equations have their density or not whe...
Hofmanová M, Seidler J. On Weak Solutions of Stochastic Differential Equations. Stochastic Analysis ...