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Look Inside Martingales and Stochastic Integrals

Martingales and Stochastic Integrals

£38.99

  • Date Published: November 2008
  • availability: Available
  • format: Paperback
  • isbn: 9780521090339

£ 38.99
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  • This book provides an introduction to the rapidly expanding theory of stochastic integration and martingales. The treatment is close to that developed by the French school of probabilists, but is more elementary than other texts. The presentation is abstract, but largely self-contained and Dr Kopp makes fewer demands on the reader's background in probability theory than is usual. He gives a fairly full discussion of the measure theory and functional analysis needed for martingale theory, and describes the role of Brownian motion and the Poisson process as paradigm examples in the construction of abstract stochastic integrals. An appendix provides the reader with a glimpse of very recent developments in non-commutative integration theory which are of considerable importance in quantum mechanics. Thus equipped, the reader will have the necessary background to understand research in stochastic analysis. As a textbook, this account will be ideally suited to beginning graduate students in probability theory, and indeed it has evolved from such courses given at Hull University. It should also be of interest to pure mathematicians looking for a careful, yet concise introduction to martingale theory, and to physicists, engineers and economists who are finding that applications to their disciplines are becoming increasingly important.

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    Product details

    • Date Published: November 2008
    • format: Paperback
    • isbn: 9780521090339
    • length: 216 pages
    • dimensions: 229 x 152 x 13 mm
    • weight: 0.32kg
    • availability: Available
  • Table of Contents

    Preface
    Probabilistic background
    1. Weak compactness and uniform integrability
    2. Discrete time martingales
    3. Continuous-time martingales
    4. Stochastic integrals
    Appendix
    References
    List of symbols
    Index.

  • Author

    P. E. Kopp

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