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On The L{2}-Solutions of Stochastic Fractional Partial Differential Equations; Existence, Uniqueness and Equivalence of Solutions
The aim of this work is to prove existence and uniqueness of
solutions of stochastic fractional partial differential equations in
one spatial dimension. We prove also the equivalence between several notions of
solutions. The Fourier transform is used to give meaning to SFPDEs.
This method is valid also when the diffusion coefficient is random
Mild Solutions for a Class of Fractional SPDEs and Their Sample Paths
In this article we introduce and analyze a notion of mild solution for a
class of non-autonomous parabolic stochastic partial differential equations
defined on a bounded open subset and driven by an
infinite-dimensional fractional noise. The noise is derived from an
-valued fractional Wiener process whose covariance operator
satisfies appropriate restrictions; moreover, the Hurst parameter is
subjected to constraints formulated in terms of and the H\"{o}lder exponent
of the derivative of the noise nonlinearity in the equations. We
prove the existence of such solution, establish its relation with the
variational solution introduced in \cite{nuavu} and also prove the H\"{o}lder
continuity of its sample paths when we consider it as an --valued
stochastic processes. When is an affine function, we also prove uniqueness.
The proofs are based on a relation between the notions of mild and variational
solution established in Sanz-Sol\'e and Vuillermot 2003, and adapted to our
problem, and on a fine analysis of the singularities of Green's function
associated with the class of parabolic problems we investigate. An immediate
consequence of our results is the indistinguishability of mild and variational
solutions in the case of uniqueness.Comment: 37 page
Symmetrization for fractional elliptic and parabolic equations and an isoperimetric application
We develop further the theory of symmetrization of fractional Laplacian
operators contained in recent works of two of the authors. The theory leads to
optimal estimates in the form of concentration comparison inequalities for both
elliptic and parabolic equations. In this paper we extend the theory for the
so-called \emph{restricted} fractional Laplacian defined on a bounded domain
of with zero Dirichlet conditions outside of .
As an application, we derive an original proof of the corresponding fractional
Faber-Krahn inequality. We also provide a more classical variational proof of
the inequality.Comment: arXiv admin note: substantial text overlap with arXiv:1303.297
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