Stochastic integration in UMD Banach spaces

Mark Veraar · Lutz W. Weis

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Stochastic processes and financial applications Advanced Banach Space Theory Advanced Harmonic Analysis Research

Abstract

Abstract. In this paper we construct a theory of stochastic integration of processes with values in L (H,E), where H is a separable Hilbert space and E is a UMD Banach space. The integrator is an H-cylindrical Brownian motion. Our approach is based on a two-sided Lp-decoupling inequality for UMD spaces due to Garling, which is combined with the theory of stochastic integration of L (H,E)-valued functions introduced recently by two of the authors. We obtain various characterizations of the stochastic integral and prove versions of the Ito ̂ isometry, the Burkholder-Davis-Gundy inequalities, and the representation theorem for Brownian martingales. 1.

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References

2007Brownian Motion and Stochastic Calculus 1983Introduction to Stochastic Integration 1990Introduction to Stochastic Integration

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