Chaotic extensions and the lent particle method for Brownian motion
Nicolas Bouleau, Laurent Denis

TL;DR
This paper extends the lent particle method from Poisson spaces to Wiener spaces, providing a new formula for Malliavin derivatives of functionals using chaos extensions and stationary processes.
Contribution
It introduces a novel lent particle formula for Wiener space, enhancing the calculation of Malliavin derivatives for functionals of Brownian motion.
Findings
Established a lent particle formula for Wiener space
Simplified the computation of Malliavin derivatives
Connected chaos extensions with stationary processes
Abstract
In previous works, we have developed a new Malliavin calculus on the Poisson space based on the lent particle formula. The aim of this work is to prove that, on the Wiener space for the standard Ornstein-Uhlenbeck structure, we also have such a formula which permits to calculate easily and intuitively the Malliavin derivative of a functional. Our approach uses chaos extensions associated to stationary processes of rotations of normal martingales.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Stochastic processes and financial applications · Stochastic processes and statistical mechanics
