Introduction to the Analysis on the Wiener-space Using Infinitesimals

Introduction to the Analysis on the Wiener-space Using Infinitesimals PDF Author: Horst Osswald
Publisher:
ISBN:
Category :
Languages : en
Pages : 237

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Introduction to the Analysis on the Wiener-space Using Infinitesimals

Introduction to the Analysis on the Wiener-space Using Infinitesimals PDF Author: Horst Osswald
Publisher:
ISBN:
Category :
Languages : en
Pages : 237

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Book Description


An Introduction to Analysis on Wiener Space

An Introduction to Analysis on Wiener Space PDF Author: Ali Süleyman Ustunel
Publisher:
ISBN:
Category : Distribution (Probability theory)
Languages : en
Pages : 0

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An Introduction to Analysis on Wiener Space

An Introduction to Analysis on Wiener Space PDF Author: Ali S. Ustunel
Publisher:
ISBN: 9783662173732
Category :
Languages : en
Pages : 116

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An Introduction to Analysis on Wiener Space

An Introduction to Analysis on Wiener Space PDF Author: Ali S. Üstünel
Publisher: Springer
ISBN: 3540446621
Category : Mathematics
Languages : en
Pages : 103

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Book Description
This book gives the basis of the probabilistic functional analysis on Wiener space, developed during the last decade. The subject has progressed considerably in recent years thr- ough its links with QFT and the impact of Stochastic Calcu- lus of Variations of P. Malliavin. Although the latter deals essentially with the regularity of the laws of random varia- bles defined on the Wiener space, the book focuses on quite different subjects, i.e. independence, Ramer's theorem, etc. First year graduate level in functional analysis and theory of stochastic processes is required (stochastic integration with respect to Brownian motion, Ito formula etc). It can be taught as a 1-semester course as it is, or in 2 semesters adding preliminaries from the theory of stochastic processes It is a user-friendly introduction to Malliavin calculus!

An Introduction to Infinite-Dimensional Analysis

An Introduction to Infinite-Dimensional Analysis PDF Author: Giuseppe Da Prato
Publisher: Springer Science & Business Media
ISBN: 3540290214
Category : Mathematics
Languages : en
Pages : 217

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Book Description
Based on well-known lectures given at Scuola Normale Superiore in Pisa, this book introduces analysis in a separable Hilbert space of infinite dimension. It starts from the definition of Gaussian measures in Hilbert spaces, concepts such as the Cameron-Martin formula, Brownian motion and Wiener integral are introduced in a simple way. These concepts are then used to illustrate basic stochastic dynamical systems and Markov semi-groups, paying attention to their long-time behavior.

Introduction to Infinite Dimensional Stochastic Analysis

Introduction to Infinite Dimensional Stochastic Analysis PDF Author: Zhi-yuan Huang
Publisher: Springer Science & Business Media
ISBN: 9401141088
Category : Mathematics
Languages : en
Pages : 308

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Book Description
The infinite dimensional analysis as a branch of mathematical sciences was formed in the late 19th and early 20th centuries. Motivated by problems in mathematical physics, the first steps in this field were taken by V. Volterra, R. GateallX, P. Levy and M. Frechet, among others (see the preface to Levy[2]). Nevertheless, the most fruitful direction in this field is the infinite dimensional integration theory initiated by N. Wiener and A. N. Kolmogorov which is closely related to the developments of the theory of stochastic processes. It was Wiener who constructed for the first time in 1923 a probability measure on the space of all continuous functions (i. e. the Wiener measure) which provided an ideal math ematical model for Brownian motion. Then some important properties of Wiener integrals, especially the quasi-invariance of Gaussian measures, were discovered by R. Cameron and W. Martin[l, 2, 3]. In 1931, Kolmogorov[l] deduced a second partial differential equation for transition probabilities of Markov processes order with continuous trajectories (i. e. diffusion processes) and thus revealed the deep connection between theories of differential equations and stochastic processes. The stochastic analysis created by K. Ito (also independently by Gihman [1]) in the forties is essentially an infinitesimal analysis for trajectories of stochastic processes. By virtue of Ito's stochastic differential equations one can construct diffusion processes via direct probabilistic methods and treat them as function als of Brownian paths (i. e. the Wiener functionals).

Loeb Measures in Practice: Recent Advances

Loeb Measures in Practice: Recent Advances PDF Author: Nigel J. Cutland
Publisher: Springer
ISBN: 3540445315
Category : Mathematics
Languages : en
Pages : 118

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Book Description
This expanded version of the 1997 European Mathematical Society Lectures given by the author in Helsinki, begins with a self-contained introduction to nonstandard analysis (NSA) and the construction of Loeb Measures, which are rich measures discovered in 1975 by Peter Loeb, using techniques from NSA. Subsequent chapters sketch a range of recent applications of Loeb measures due to the author and his collaborators, in such diverse fields as (stochastic) fluid mechanics, stochastic calculus of variations ("Malliavin" calculus) and the mathematical finance theory. The exposition is designed for a general audience, and no previous knowledge of either NSA or the various fields of applications is assumed.

The theory of infinitesimals. An introduction to nonstandard analysis

The theory of infinitesimals. An introduction to nonstandard analysis PDF Author: Detlef Laugwitz
Publisher:
ISBN: 9788821803413
Category : Mathematics
Languages : it
Pages : 110

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An Infinitesimal Approach to Stochastic Analysis

An Infinitesimal Approach to Stochastic Analysis PDF Author: H. Jerome Keisler
Publisher: American Mathematical Soc.
ISBN: 0821822977
Category : Brownian motion processes
Languages : en
Pages : 197

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Book Description
This monograph uses Robinson's infinitesimal (i.e., nonstandard) analysis to study stochastic integral equations with respect to a Brownian motion. By using a combination of standard and infinitesimal methods, we obtain new results about stochastic integral equations which can be stated in standard terms.

Stochastic Analysis and Applications

Stochastic Analysis and Applications PDF Author: A.B. Cruzeiro
Publisher: Springer Science & Business Media
ISBN: 146120447X
Category : Mathematics
Languages : en
Pages : 207

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Book Description
At the end of the summer 1989, an international conference on stochastic analysis and related topics was held for the first time in Lisbon (Portu gal). This meeting was made possible with the help of INIC and JNICT, two organizations devoted to the encouragement of scientific research in Portugal. The meeting was interdiciplinary since mathematicians and mathematical physicists from around the world were invited to present their recent works involving probability theory, analysis, geometry and physics, a wide area of cross fertilization in recent years. Portuguese scientific research is expanding fast, these days, faster, some times, than the relevant academic structures. The years to come will be determinant for the orientation of those young Portuguese willing to take an active part in the international scientific community. Lisbon's summer 89 meeting should initiate a new Iberic tradition, attrac tive both for these researchers to be and, of course, for the selected guests. Judging by the quality of contributions collected here, it is not unrealistic to believe that a tradition of "southern randomness" may well be established.