Geometry, Analysis and Probability

Geometry, Analysis and Probability PDF

Author: Jean-Benoît Bost

Publisher: Birkhäuser

Published: 2017-04-26

Total Pages: 361

ISBN-13: 3319496387

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This volume presents original research articles and extended surveys related to the mathematical interest and work of Jean-Michel Bismut. His outstanding contributions to probability theory and global analysis on manifolds have had a profound impact on several branches of mathematics in the areas of control theory, mathematical physics and arithmetic geometry. Contributions by: K. Behrend N. Bergeron S. K. Donaldson J. Dubédat B. Duplantier G. Faltings E. Getzler G. Kings R. Mazzeo J. Millson C. Moeglin W. Müller R. Rhodes D. Rössler S. Sheffield A. Teleman G. Tian K-I. Yoshikawa H. Weiss W. Werner The collection is a valuable resource for graduate students and researchers in these fields.

Analysis, Geometry and Probability

Analysis, Geometry and Probability PDF

Author: Rajendra Bhatia

Publisher: Springer

Published: 1997-04-15

Total Pages: 425

ISBN-13: 9380250878

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This book is a collection of expository articles by well-known mathematicians. Some of them introduce the reader to a major topic, while others provide a glimpse into an active field of research. All articles are accessible to graduate students. The articles were invited in honour of K. R. Parthasarathy, a mathematican, teacher and expositor of renown. Some of the articles, by his coworkers, are related to his work on probability, quantum probability and group representations. Others are on diverse topics in analysis, geometry and number theory.

Analysis, Geometry, and Modeling in Finance

Analysis, Geometry, and Modeling in Finance PDF

Author: Pierre Henry-Labordere

Publisher: CRC Press

Published: 2008-09-22

Total Pages: 403

ISBN-13: 1420087002

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Analysis, Geometry, and Modeling in Finance: Advanced Methods in Option Pricing is the first book that applies advanced analytical and geometrical methods used in physics and mathematics to the financial field. It even obtains new results when only approximate and partial solutions were previously available.Through the problem of option pricing, th

Fractals in Probability and Analysis

Fractals in Probability and Analysis PDF

Author: Christopher J. Bishop

Publisher: Cambridge University Press

Published: 2017

Total Pages: 415

ISBN-13: 1107134110

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A mathematically rigorous introduction to fractals, emphasizing examples and fundamental ideas while minimizing technicalities.

Analysis and Geometry on Groups

Analysis and Geometry on Groups PDF

Author: Nicholas T. Varopoulos

Publisher: Cambridge University Press

Published: 1993-01-07

Total Pages: 172

ISBN-13: 9780521353823

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The geometry and analysis that is discussed in this book extends to classical results for general discrete or Lie groups, and the methods used are analytical, but are not concerned with what is described these days as real analysis. Most of the results described in this book have a dual formulation: they have a "discrete version" related to a finitely generated discrete group and a continuous version related to a Lie group. The authors chose to center this book around Lie groups, but could easily have pushed it in several other directions as it interacts with the theory of second order partial differential operators, and probability theory, as well as with group theory.

Analysis

Analysis PDF

Author: Rolando Chuaqui

Publisher: CRC Press

Published: 2020-11-26

Total Pages: 288

ISBN-13: 1000146669

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This volume contains versions of invited addresses and communications for the First Chilean Symposium of Mathematics, revealing the results of the mathematical advances in areas such as stochastic analysis, solutions of differential equations, and differential synthetic geometry and probability.

High-Dimensional Probability

High-Dimensional Probability PDF

Author: Roman Vershynin

Publisher: Cambridge University Press

Published: 2018-09-27

Total Pages: 299

ISBN-13: 1108415199

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An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.