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Integration in Hilbert Space (Paperback, Softcover reprint of the original 1st ed. 1974)
Loot Price: R1,491
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Integration in Hilbert Space (Paperback, Softcover reprint of the original 1st ed. 1974)
Series: Ergebnisse der Mathematik und ihrer Grenzgebiete. 2. Folge, 79
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Integration in function spaces arose in probability theory when a
gen eral theory of random processes was constructed. Here credit is
cer tainly due to N. Wiener, who constructed a measure in function
space, integrals-with respect to which express the mean value of
functionals of Brownian motion trajectories. Brownian trajectories
had previously been considered as merely physical (rather than
mathematical) phe nomena. A. N. Kolmogorov generalized Wiener's
construction to allow one to establish the existence of a measure
corresponding to an arbitrary random process. These investigations
were the beginning of the development of the theory of stochastic
processes. A considerable part of this theory involves the solution
of problems in the theory of measures on function spaces in the
specific language of stochastic pro cesses. For example, finding
the properties of sample functions is connected with the problem of
the existence of a measure on some space; certain problems in
statistics reduce to the calculation of the density of one measure
w. r. t. another one, and the study of transformations of random
processes leads to the study of transformations of function spaces
with measure. One must note that the language of probability theory
tends to obscure the results obtained in these areas for
mathematicians working in other fields. Another dir, ection leading
to the study of integrals in function space is the theory and
application of differential equations. A. N."
General
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