From Measures to Itô Integrals
From Measures to Itô Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, Itô integrals and a brief look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic measure theory. This text is ideal preparation for graduate-level courses in mathematical finance and perfect for any reader seeking a basic understanding of the mathematics underpinning the various applications of Itô calculus.
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From Measures to Itô Integrals
From Measures to Itô Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, Itô integrals and a brief look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic measure theory. This text is ideal preparation for graduate-level courses in mathematical finance and perfect for any reader seeking a basic understanding of the mathematics underpinning the various applications of Itô calculus.
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From Measures to Itô Integrals

From Measures to Itô Integrals

by Ekkehard Kopp
From Measures to Itô Integrals

From Measures to Itô Integrals

by Ekkehard Kopp

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Overview

From Measures to Itô Integrals gives a clear account of measure theory, leading via L2-theory to Brownian motion, Itô integrals and a brief look at martingale calculus. Modern probability theory and the applications of stochastic processes rely heavily on an understanding of basic measure theory. This text is ideal preparation for graduate-level courses in mathematical finance and perfect for any reader seeking a basic understanding of the mathematics underpinning the various applications of Itô calculus.

Product Details

ISBN-13: 9781107400863
Publisher: Cambridge University Press
Publication date: 03/31/2011
Series: AIMS Library of Mathematical Sciences , #3
Pages: 128
Product dimensions: 5.40(w) x 8.40(h) x 0.40(d)

About the Author

Ekkehard Kopp studied at Stellenbosch University and obtained his PhD from the University of Oxford in 1970. He held academic positions at the University of Hull from 1970 until his retirement in 2004, including serving as Dean of Mathematics and Pro-Vice-Chancellor. He is the author of over 50 publications in analysis, probability and mathematical finance.

Table of Contents

Preface; 1. Probability and measure; 2. Measures and distribution functions; 3. Measurable functions/random variables; 4. Integration and expectation; 5. Lp-spaces and conditional expectation; 6. Discrete-time martingales; 7. Brownian motion; 8. Stochastic integrals; Bibliography; Index.
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