We study the perturbation of the two-dimensional stochastic Navier-Stokes equation by a Hilbert-space-valued fractional Brownian noise. Each Hilbert component is a scalar fractional Brownian noise in time, with a common Hurst parameter H and a specific intensity. Because the noise is additive, simple Wiener-type integrals are suffi cient for properly defining the problem. It is resolved by sepa...

The aim of this paper is to introduce some classes of aggregation functionals when the evaluation scale is a complete lattice. We focus on the notion of quantile of a lattice-valued function which have several properties of its real-valued counterpart and we study a class of aggregation functionals that generalizes Sugeno integrals to the setting of complete lattices. Then we introduce in the r...

Let (Ω,F , {Ft}, P ) be a complete probability space with filtration {Ft}, (X ,H, μ) an abstract Wiener space of M-type 2, and {Bt : t ≥ 0} an X -valued Brownian motion such that the distribution of the random function t−1/2Bt : Ω → X is μ for any t > 0. We consider the strong solutions to a set-valued stochastic differential equation with a set-valued drift and a single valued diffusion driven...

A family of probability measures on the unit ball in R generates a family of generalized Steiner (GS-)points for every convex compact set in R. Such a ”rich” family of probability measures determines a representation of a convex compact set by GS-points. In this way, a representation of a setvalued map with convex compact images is constructed by GS-selections (which are defined by the GS-point...