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Brownian Motion Martingales And Stochastic Calculus 1st Edition Jeanfranois Le Gall

  • SKU: BELL-23397808
Brownian Motion Martingales And Stochastic Calculus 1st Edition Jeanfranois Le Gall
$ 31.00 $ 45.00 (-31%)

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Brownian Motion Martingales And Stochastic Calculus 1st Edition Jeanfranois Le Gall instant download after payment.

Publisher: Springer, Springer Nature, Springer International Publishing AG
File Extension: PDF
File size: 1.98 MB
Pages: 282
Author: Jean-François Le Gall
ISBN: 9783319310886, 9783319310893, 3319310887, 3319310895
Language: English
Year: 2016
Edition: 1
Volume: 274

Product desciption

Brownian Motion Martingales And Stochastic Calculus 1st Edition Jeanfranois Le Gall by Jean-françois Le Gall 9783319310886, 9783319310893, 3319310887, 3319310895 instant download after payment.

Mathematics Subject Classification (2010): 60H05 Stochastic integrals • 60G44 Martingales with continuous parameter • 60J65 Brownian motion • 60H10 Stochastic ordinary differential equations (aspects of stochastic analysis) • 60J55 Local time and additive functionals • 60J25 Continuous-time Markov processes on general state spaces

This book offers a rigorous and self-contained presentation of stochastic integration and stochastic calculus within the general framework of continuous semimartingales. The main tools of stochastic calculus, including Itô’s formula, the optional stopping theorem and Girsanov’s theorem, are treated in detail alongside many illustrative examples. The book also contains an introduction to Markov processes, with applications to solutions of stochastic differential equations and to connections between Brownian motion and partial differential equations. The theory of local times of semimartingales is discussed in the last chapter. Since its invention by Itô, stochastic calculus has proven to be one of the most important techniques of modern probability theory, and has been used in the most recent theoretical advances as well as in applications to other fields such as mathematical finance. Brownian Motion, Martingales, and Stochastic Calculus provides a strong theoretical background to the reader interested in such developments. Beginning graduate or advanced undergraduate students will benefit from this detailed approach to an essential area of probability theory. The emphasis is on concise and efficient presentation, without any concession to mathematical rigor. The material has been taught by the author for several years in graduate courses at two of the most prestigious French universities. The fact that proofs are given with full details makes the book particularly suitable for self-study. The numerous exercises help the reader to get acquainted with the tools of stochastic calculus.

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