Diffusions, markov processes and martingales (Record no. 518)

000 -LEADER
fixed length control field 02445nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20241121162639.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 170804s2000 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780521775939
040 ## - CATALOGING SOURCE
Original cataloging agency ICTS-TIFR
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.7
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name L. C. G. Rogers
245 ## - TITLE STATEMENT
Title Diffusions, markov processes and martingales
Remainder of title : Vol. 2
250 ## - EDITION STATEMENT
Edition statement 2nd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. [c2000]
Place of publication, distribution, etc. U.K.:
300 ## - Physical Description
Pages: 480 p.
490 ## - SERIES STATEMENT
Series statement Cambridge Mathematical Library
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 4. Introduction to Ito calculus<br/>4.1. Some motivating remarks<br/>4.2. Some fundamental ideas: previsible processes, localization, etc.<br/>4.3. The elementary theory of finite-variation processes<br/>4.4. Stochastic integrals: the L2 theory<br/>4.5. Stochastic integrals with respect to continuous semimartingales<br/>4.6. Applications of Ito's formula<br/><br/>5. Stochastic differential equations and diffusions<br/>5.1. Introduction<br/>5.2. Pathwise uniqueness, strong SDEs, flows<br/>5.3. Weak solutions, uniqueness in law<br/>5.4. Martingale problems, Markov property<br/>5.5. Overture to stochastic differential geometry<br/>5.6. One-dimensional SDEs<br/>5.7. One-dimensional diffusions<br/><br/>6. The general theory<br/>6.1. Orientation<br/>6.2. Debut and section theorems<br/>6.3. Optional projections and filtering<br/>6.4. Characterising previsible times<br/>6.5. Dual previsible projections<br/>6.6. The Meyer decomposition theorem<br/>6.7. Stochastic integration: the general case<br/>6.8. Ito excursion theory
520 ## - SUMMARY, ETC.
Summary, etc. This celebrated book has been prepared with readers' needs in mind, remaining a systematic treatment of the subject whilst retaining its vitality. The second volume follows on from the first, concentrating on stochastic integrals, stochastic differential equations, excursion theory and the general theory of processes. Much effort has gone into making these subjects as accessible as possible by providing many concrete examples that illustrate techniques of calculation, and by treating all topics from the ground up, starting from simple cases. Many of the examples and proofs are new; some important calculational techniques appeared for the first time in this book. Together with its companion volume, this book helps equip graduate students for research into a subject of great intrinsic interest and wide application in physics, biology, engineering, finance and computer science.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematics
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name David Williams
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Shelving location Date acquired Full call number Accession No. Koha item type
          ICTS Rack No 6 12/16/2016 QA274.7 00518 Book
          ICTS Rack No 5 04/16/2018 QA274.7 01098 Book