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    1. Naturvetenskap och teknik
    2. Matematik och naturvetenskap
    3. Matematik
    4. Matematisk statistik

    Random Evolutions and Their Applications

    AvAnatoly Swishchuk

    Inbunden, Engelska, 1997

    Del i serien Mathematics and Its Applications

    542 kr

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    Inbunden

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    Häftad

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    Beskrivning

    This handbook on random evolutions and their applications summarizes and orders the ideas, methods, results and literature on the theory of random evolutions since 1969 and their applications to the evolutionary stochastic systems in random media. It also points out some new trends. Among the subjects treated are the problems for different models of random evolutions, multiplicative operator functionals, evolutionary stochastic systems in random media, averaging, merging, diffusion approximation, normal deviations, rates of convergence for random evolutions and their applications. The text also considers developments such as the analogue of Dynkin's formula, boundary value problems, stability and control of random evolutions, stochastic evolutionary equations, driven space-time white noise and random evolutions in financial mathematics. This handbook should be of use to theoretical and practical researchers whose interests include probability theory, functional analysis, operator theory, optimal control or statistics, and who wish to know what kind of information is available in the field of random evolutions and their applications.

    Produktinformation

    • Utgivningsdatum:1997-04-30
    • Mått:155 x 235 x 17 mm
    • Vikt:500 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Mathematics and Its Applications
    • Antal sidor:183
    • Upplaga:1997
    • Förlag:Kluwer Academic Publishers
    • ISBN:9780792345336

    Utforska kategorier

    • Matematisk statistik inom Naturvetenskap och teknik
    • Tillämpad matematik inom Naturvetenskap och teknik

    Innehållsförteckning

    • Definition and Classification of Semi-Markov Random Evolutions.- ESS in Semi-Markov Random Media.- Martingale Methods in RE.- Organization of the Handbook.- Structure of the Handbook.- Historical and Bibliographical Remarks to the Introduction.- 1 Multiplicative Operator Functionals.- 1.1 Semigroups of Operators.- 1.2 Additive and Multiplicative Functionals.- 1.3 Multiplicative Operator Functionals.- 1.4 Representations of MOF.- 1.5 Dual MOF.- 1.6 MOF Underlying Superprocesses.- 1.7 Stochastic Semigroups.- 1.8 Construction of a Markov Process by Multiplicative Functionals.- 1.9 Additive Operator Functionals.- 1.10 MOF on a Finite Markov Chain.- 2 Random Evolutions.- 2.1 Definition and Classification of Random Evolutions.- 2.2 Models of Random Evolutions.- 2.3 Evolutionary Equations.- 2.4 Martingale Methods in Random Evolutions.- 2.5 The Analogue of Dynkin’s Formula for MOF and Random Evolutions.- 2.6 Boundary Value Problems for MOF and RE.- 2.7 Stability of Random Evolutions.- 2.8 Control of Random Evolution Historical and Bibliographical Remarks to Chapter 2.- 3 Limit Theorems for Random Evolutions.- 3.1 Limit theorems for models of random evolutions.- 3.2 Weak Convergence of Random Evolutions.- 3.3 Averaging of SMRE in a Series Scheme.- 3.4 Diffusion Approximation of SMRE in a Series Scheme.- 3.5 Averaging of SMRE in Reducible Phase Space. Merged RE.- 3.6 Diffusion Approximation of SMRE in a Reducible Phase Space.- 3.7 Normal deviations of SMRE.- 3.8 Rates of Convergence in the Limit Theorems for SMRE.- 3.9 Ergodic Theorem for MOF on a Markov Chain.- 4 Applications of Evolutionary Stochastic Systems.- 4.1 Random Evolutions as an Evolutionary Stochastic Systems in Random Media.- 4.2 Averaging and Merging of Evolutionary Stochastic Systems.- 4.3 DiffusionApproximation of Evolutionary Stochastic Systems.- 4.4 Rates of Convergence in the Limit Theorems for Stochastic Systems.- 4.5 Normal Deviations of Stochastic Systems.- 4.6 Stability of Evolutionary Stochastic Systems.- 4.7 Control of Evolutionary Stochastic Systems.- 5 New Trends in Random Evolutions.- 5.1 The Existence of the Wiener Measure and Related Stochastic Equations.- 5.2 Stochastic Integrals over Martingale Measures.- 5.3 Stochastic Integral Equations over Martingale Measures.- 5.4 Martingale Problems Connected with Stochastic Equations over Martingale Measures.- 5.5 Stochastic Integral Equation for Limiting Random Evolutions.- 5.6 Evolutionary Operator Equations Driven by the Wiener Martingale Measure.- 5.7 Random Evolutions in Financial Mathematics: Hedging of Options.
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