Decoupling On The Wiener Space Related Besov Spaces And Applications To Bsdes

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Decoupling on the Wiener Space, Related Besov Spaces, and Applications to BSDEs

Author: Stefan Geiss
language: en
Publisher: American Mathematical Society
Release Date: 2021-11-16
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A Proof that Artificial Neural Networks Overcome the Curse of Dimensionality in the Numerical Approximation of Black–Scholes Partial Differential Equations

Author: Philipp Grohs
language: en
Publisher: American Mathematical Society
Release Date: 2023-04-07
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Differentiable Measures and the Malliavin Calculus

Author: Vladimir Igorevich Bogachev
language: en
Publisher: American Mathematical Soc.
Release Date: 2010-07-21
This book provides the reader with the principal concepts and results related to differential properties of measures on infinite dimensional spaces. In the finite dimensional case such properties are described in terms of densities of measures with respect to Lebesgue measure. In the infinite dimensional case new phenomena arise. For the first time a detailed account is given of the theory of differentiable measures, initiated by S. V. Fomin in the 1960s; since then the method has found many various important applications. Differentiable properties are described for diverse concrete classes of measures arising in applications, for example, Gaussian, convex, stable, Gibbsian, and for distributions of random processes. Sobolev classes for measures on finite and infinite dimensional spaces are discussed in detail. Finally, we present the main ideas and results of the Malliavin calculus--a powerful method to study smoothness properties of the distributions of nonlinear functionals on infinite dimensional spaces with measures. The target readership includes mathematicians and physicists whose research is related to measures on infinite dimensional spaces, distributions of random processes, and differential equations in infinite dimensional spaces. The book includes an extensive bibliography on the subject.