This talk is concerned with sample path regularities of isotropic Gaussian fields and the solution of the stochastic heat equation on the unit sphere ${\mathbb S}$. In the first part, we establish the property of strong local nondeterminism of an isotropic spherical Gaussian field based on the high-frequency behavior of its angular power spectrum; we then apply this result to establish an exact uniform modulus of continuity for its sample paths. We also discuss the range of values of the spectral index for which the sample functions exhibit fractal or smooth behavior. In the second part, we consider the stochastic heat equation driven by an additive infinite dimensional fractional Brownian noise on ${\mathbb S}^2$ and establish the exact...
Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev ...
We consider a class of Gaussian isotropic random fields related to multi-parameter fractional Browni...
We consider sample path properties of the solution to the stochastic heat equation, in Rd or bounded...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
Sample regularity and fast simulation of isotropic Gaussian random fields on the sphere are for exam...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
AbstractA sharp regularity theory is established for homogeneous Gaussian fields on the unit circle....
Anisotropic Gaussian random fields arise in probability theory and in various applications. Typical ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
We define linear stochastic heat equations (SHE) on p.c.f.s.s. sets equipped with regular harmonic s...
We consider a system of d linear stochastic heat equations driven by an additive infinite-dimensiona...
Fine regularity of stochastic processes is usually measured in a local way by local Hölder...
Two applications of the fractional Brownian motion will be presented. First, we study the time-regul...
Convex regularization techniques are now widespread tools for solving inverse problems in a variety ...
We study random perturbations of a Riemannian manifold (M, g) by means of so-called Fractional Gauss...
Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev ...
We consider a class of Gaussian isotropic random fields related to multi-parameter fractional Browni...
We consider sample path properties of the solution to the stochastic heat equation, in Rd or bounded...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Loève expansions with r...
Sample regularity and fast simulation of isotropic Gaussian random fields on the sphere are for exam...
Isotropic Gaussian random fields on the sphere are characterized by Karhunen-Lo\`eve expansions with...
AbstractA sharp regularity theory is established for homogeneous Gaussian fields on the unit circle....
Anisotropic Gaussian random fields arise in probability theory and in various applications. Typical ...
International audienceFine regularity of stochastic processes is usually measured in a local way by ...
We define linear stochastic heat equations (SHE) on p.c.f.s.s. sets equipped with regular harmonic s...
We consider a system of d linear stochastic heat equations driven by an additive infinite-dimensiona...
Fine regularity of stochastic processes is usually measured in a local way by local Hölder...
Two applications of the fractional Brownian motion will be presented. First, we study the time-regul...
Convex regularization techniques are now widespread tools for solving inverse problems in a variety ...
We study random perturbations of a Riemannian manifold (M, g) by means of so-called Fractional Gauss...
Gaussian random fields defined over compact two-point homogeneous spaces are considered and Sobolev ...
We consider a class of Gaussian isotropic random fields related to multi-parameter fractional Browni...
We consider sample path properties of the solution to the stochastic heat equation, in Rd or bounded...