Symmetric stochastic integrals and their approximations
Vigirdas Mackevlčlus
Abstract
Vigirdas Mackevlčlus
Abstract
The paper deals with a definition and an approximation of symmetric (Stratonovich) stochastic integral with respect to Brownian motion B using the representation of a square‐integrable process X in the form . We show that a natural definition is possible provided a certain Hilbert‐Schmidt operator related to the kernel L is nuclear (trace class). Denote BΔ a polygonal approximation of B corresponding to a partition Δ of [0,1] and . We prove that and converge in mean to as the mesh (the later case needs additional assumption or non-randomness of L).
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The paper deals with a definition and an approximation of symmetric (Stratonovich) stochastic integral with respect to Brownian motion B using the representation of a square‐integrable process X in the form . We show that a natural definition is possible provided a certain Hilbert‐Schmidt operator related to the kernel L is nuclear (trace class). Denote BΔ a polygonal approximation of B corresponding to a partition Δ of [0,1] and . We prove that and converge in mean to as the mesh (the later case needs additional assumption or non-randomness of L).
Key concepts: Stochastic integral, Mathematics, Randomness, Brownian motion, TRACE (psycholinguistics), Approximations of π, Trace class, Integrable system