Quadratic functionals of Brownian motion

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Abstract

Functionals of Brownian motion can be dealt with by realizing them as functionals of white noise. Specifically, for quadratic functionals of Brownian motion, such a realization is a powerful tool to investigate them. There is a one-to-one correspondence between a quadratic functional of white noise and a symmetric L2(R2)-function which is considered as an integral kernel. By using well-known results on the integral operator we can study probabilistic properties of quadratic or certain exponential functionals of white noise. Two examples will illustrate their significance.

MSC

60J65
60K99

MSC

60E05

Keywords

white noise
functional of Brownian motion
modified Fredholm determinant
semiinvariant
stochastic area
equivalence of Gaussian measures

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