Fr. 116.40

Stochastic Differential Equations on Manifolds

Inglese · Tascabile

Spedizione di solito entro 2 a 3 settimane (il titolo viene stampato sull'ordine)

Descrizione

Ulteriori informazioni










The aims of this book, originally published in 1982, are to give an understanding of the basic ideas concerning stochastic differential equations on manifolds and their solution flows, to examine the properties of Brownian motion on Riemannian manifolds when it is constructed using the stochiastic development and to indicate some of the uses of the theory. The author has included two appendices which summarise the manifold theory and differential geometry needed to follow the development; coordinate-free notation is used throughout. Moreover, the stochiastic integrals used are those which can be obtained from limits of the Riemann sums, thereby avoiding much of the technicalities of the general theory of processes and allowing the reader to get a quick grasp of the fundamental ideas of stochastic integration as they are needed for a variety of applications.

Sommario










Preface; Introduction; 1. Preliminaries and notation; 2. Kolmogorov's Theorem, Totoki's Theorem, and Brownian Motion; 3. The integral: estimates and existence; 4. Special cases; 5. The change of variable formula; 6. Stochastic integral equations; 7. Stochastic differential equations on manifolds; 8. Regularity; 9. Diffusions; Appendices; References; Index.

Riassunto

This 1982 book aims to give an understanding of the basic ideas concerning stochastic differential equations on manifolds and their solution flows, to examine the properties of Brownian motion on Riemannian manifolds when it is constructed using the stochiastic development and to indicate some of the uses of the theory.

Dettagli sul prodotto

Autori K. D. Elworthy
Con la collaborazione di N. J. Hitchin (Editore)
Editore Cambridge University Press
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.11.2010
 
EAN 9780521287678
ISBN 978-0-521-28767-8
Pagine 348
Dimensioni 152 mm x 229 mm x 21 mm
Peso 565 g
Serie Themes in the Social Sciences
Categoria Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica

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