Non-standard Skorokhod convergence of Levy-driven convolution integrals in Hilbert spaces

Abstract

We study the convergence in probability in the non-standard M1 Skorokhod topology of the Hilbert valued stochastic convolution integrals of the type ∫0t Fγ(t-s)\,d L(s) to a process ∫0t F(t-s)\, d L(s) driven by a L\'evy process L. In Banach spaces we introduce strong, weak and product modes of M1-convergence, prove a criterion for the M1-convergence in probability of stochastically continuous c\`adl\`ag processes in terms of the convergence in probability of the finite dimensional marginals and a good behaviour of the corresponding oscillation functions, and establish criteria for the convergence in probability of L\'evy driven stochastic convolutions. The theory is applied to the infinitely dimensional integrated Ornstein--Uhlenbeck processes with diagonalisable generators.

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