Quadratic functionals of Brownian motion
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.
Year of publication: |
1971
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Authors: | Hida, Takeyuki |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 1.1971, 1, p. 58-69
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Publisher: |
Elsevier |
Keywords: | white noise functional of Brownian motion modified Fredholm determinant semiinvariant stochastic area equivalence of Gaussian measures |
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