We establish a sharp estimate on the negative moments of the smallest eigenvalue of the Malliavin matrix gamma z of Z := (u(s, y), u(t , x) - u(s, y)), where u is the solution to a system of d non-linear stochastic heat equations in spatial dimension k >= 1. We also obtain the optimal exponents for the L-p-modulus of continuity of the increments of the solution and of its Malliavin derivatives. These lead to optimal lower bounds on hitting probabilities of the process {u(t,x) : (t, x) is an element of [0, infinity[xR(k)} in the non-Gaussian case in terms of Newtonian capacity, and improve a result in Dalang, Khoshnevisan and Nualart [Stoch PDE: Anal Comp 1 (2013) 94-151]
The authors consider a d-dimensional random field u = \{u(t,x)\} that solves a non-linear system of ...
In this paper, we obtain upper and lower bounds for the moments of the solution to a class of fracti...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractiona...
Abstract. We consider a system of d coupled non-linear stochastic heat equa-tions in spatial dimensi...
AbstractIn this paper, we establish lower and upper Gaussian bounds for the probability density of t...
In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild ...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
Abstract. We study algorithms for approximation of the mild solution of stochastic heat equations on...
We study the nonlinear stochastic heat equation in the spatial domain R, driven by space-time white ...
The authors consider a d-dimensional random field u = \{u(t,x)\} that solves a non-linear system of ...
In this paper, we obtain upper and lower bounds for the moments of the solution to a class of fracti...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractiona...
Abstract. We consider a system of d coupled non-linear stochastic heat equa-tions in spatial dimensi...
AbstractIn this paper, we establish lower and upper Gaussian bounds for the probability density of t...
In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild ...
We consider a system of d non-linear stochastic heat equations in spatial dimension 1 driven by d-di...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
We give general sufficient conditions which imply upper and lower bounds for the probability that a ...
Abstract. We study algorithms for approximation of the mild solution of stochastic heat equations on...
We study the nonlinear stochastic heat equation in the spatial domain R, driven by space-time white ...
The authors consider a d-dimensional random field u = \{u(t,x)\} that solves a non-linear system of ...
In this paper, we obtain upper and lower bounds for the moments of the solution to a class of fracti...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...