Introduction to stochastic integration (Record no. 58532)

MARC details
000 -LEADER
fixed length control field 02332 a2200229 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230127b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387287201
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.23
Item number KUO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kuo, Hui-Hsiung
245 ## - TITLE STATEMENT
Title Introduction to stochastic integration
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer Science + Business media,
Date of publication, distribution, etc 2006.
Place of publication, distribution, etc New York:
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 278p.;
Other physical details pbk;
Dimensions 23cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Universitext
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Include Index and Reference
520 ## - SUMMARY, ETC.
Summary, etc In the Leibniz–Newton calculus, one learns the di?erentiation and integration of deterministic functions. A basic theorem in di?erentiation is the chain rule, which gives the derivative of a composite of two di?erentiable functions. The chain rule, when written in an inde?nite integral form, yields the method of substitution. In advanced calculus, the Riemann–Stieltjes integral is de?ned through the same procedure of “partition-evaluation-summation-limit” as in the Riemann integral. In dealing with random functions such as functions of a Brownian motion, the chain rule for the Leibniz–Newton calculus breaks down. A Brownian motionmovessorapidlyandirregularlythatalmostallofitssamplepathsare nowhere di?erentiable. Thus we cannot di?erentiate functions of a Brownian motion in the same way as in the Leibniz–Newton calculus. In 1944 Kiyosi Itˆ o published the celebrated paper “Stochastic Integral” in the Proceedings of the Imperial Academy (Tokyo). It was the beginning of the Itˆ o calculus, the counterpart of the Leibniz–Newton calculus for random functions. In this six-page paper, Itˆ o introduced the stochastic integral and a formula, known since then as Itˆ o’s formula. The Itˆ o formula is the chain rule for the Itˆocalculus.Butitcannotbe expressed as in the Leibniz–Newton calculus in terms of derivatives, since a Brownian motion path is nowhere di?erentiable. The Itˆ o formula can be interpreted only in the integral form. Moreover, there is an additional term in the formula, called the Itˆ o correction term, resulting from the nonzero quadratic variation of a Brownian motion.<br/><br/><br/>https://link.springer.com/book/10.1007/0-387-31057-6
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Martingale
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Gaussian measure
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Brownian motion
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability theory
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Diffusion process
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     IIT Gandhinagar IIT Gandhinagar 27/01/2023 CBS Books 0.00 519.23 KUO 032741 27/01/2023 1 5622.75 Books


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