
arXiv: 2211.10172
In this work, we introduce a theory of stochastic integration with respect to symmetric $α$-stable cylindrical Lévy processes. Since $α$-stable cylindrical Lévy processes do not enjoy a semi-martingale decomposition, our approach is based on a decoupling inequality for the tangent sequence of the Radonified increments. This approach enables us to characterise the largest space of predictable Hilbert-Schmidt operator-valued processes which are integrable with respect to an $α$-stable cylindrical Lévy process as the collection of all predictable processes with paths in the Bochner space $L^α$. We demonstrate the power and robustness of the developed theory by establishing a dominated convergence result allowing the interchange of the stochastic integral and limit.
31 pages
Stochastic integrals, Probability (math.PR), Generalized stochastic processes, decoupled tangent sequence, Stable stochastic processes, cylindrical Lévy process, Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.), stable processes, FOS: Mathematics, 60H05, 60G20, 60G52, 28C20, stochastic integration, Mathematics - Probability
Stochastic integrals, Probability (math.PR), Generalized stochastic processes, decoupled tangent sequence, Stable stochastic processes, cylindrical Lévy process, Set functions and measures and integrals in infinite-dimensional spaces (Wiener measure, Gaussian measure, etc.), stable processes, FOS: Mathematics, 60H05, 60G20, 60G52, 28C20, stochastic integration, Mathematics - Probability
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