In this article, we generalize the lower bound estimates for uniformly elliptic di#usion processes obtained by Kusuoka and Stroock. We define the concept of uniform elliptic random variable on Wiener space and show that with this definition one can prove a lower bound estimate of Gaussian type for its density. We apply our results to the case of the stochastic heat equation under the hypothesis of unifom ellipticity of the di#usion coe#cient.
Preprint enviat per a la seva publicació en una revista científica: Theoretical Probability, 1998, v...
In this talk, we study the stochastic heat equation on R^d driven by a multiplicative Gaussian noise...
AbstractWe obtain a lower bound for the density of a d-dimensional random variable on the Wiener spa...
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 ...
AbstractIn this paper we establish lower and upper Gaussian bounds for the solutions to the heat and...
Bogachev VI, Röckner M, Shaposhnikov SV. Estimates of Densities of Stationary Distributions and Tran...
AbstractIn this paper we establish lower and upper Gaussian bounds for the solutions to the heat and...
We study the regularity of the probability density function of the supremum of the solution to the l...
We consider a Gaussian process $P$ on the space of distributions generated by a polynomial in the La...
AbstractSuppose that L=∑i,j=1daij(x)∂2/∂xi∂xj is uniformly elliptic. We use XL(t) to denote the diff...
In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild ...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
In this talk, we study the stochastic heat equation on R^d driven by a multiplicative Gaussian noise...
Preprint enviat per a la seva publicació en una revista científica: Theoretical Probability, 1998, v...
In this talk, we study the stochastic heat equation on R^d driven by a multiplicative Gaussian noise...
AbstractWe obtain a lower bound for the density of a d-dimensional random variable on the Wiener spa...
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 ...
AbstractIn this paper we establish lower and upper Gaussian bounds for the solutions to the heat and...
Bogachev VI, Röckner M, Shaposhnikov SV. Estimates of Densities of Stationary Distributions and Tran...
AbstractIn this paper we establish lower and upper Gaussian bounds for the solutions to the heat and...
We study the regularity of the probability density function of the supremum of the solution to the l...
We consider a Gaussian process $P$ on the space of distributions generated by a polynomial in the La...
AbstractSuppose that L=∑i,j=1daij(x)∂2/∂xi∂xj is uniformly elliptic. We use XL(t) to denote the diff...
In this paper, we establish lower and upper Gaussian bounds for the probability density of the mild ...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
In recent decades, as a result of mathematicians' endeavor to come up with more realistic models for...
In this talk, we study the stochastic heat equation on R^d driven by a multiplicative Gaussian noise...
Preprint enviat per a la seva publicació en una revista científica: Theoretical Probability, 1998, v...
In this talk, we study the stochastic heat equation on R^d driven by a multiplicative Gaussian noise...
AbstractWe obtain a lower bound for the density of a d-dimensional random variable on the Wiener spa...