Markov Processes and Differential Equations: Asymptotic Problems (Lectures in Mathematics. ETH Zürich)

Freidlin, Mark I.

ISBN 10: 3764353929 ISBN 13: 9783764353926
Editore: Birkhäuser, 1996
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Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations.

Contenuti: 1 Stochastic Processes Defined by ODE’s.- 2 Small Parameter in Higher Derivatives: Levinson’s Case.- 3 The Large Deviation Case.- 4 Averaging Principle for Stochastic Processes and for Partial Differential Equations.- 5 Averaging Principle: Continuation.- 6 Remarks and Generalizations.- 7 Diffusion Processes and PDE’s in Narrow Branching Tubes.- 8 Wave Fronts in Reaction-Diffusion Equations.- 9 Wave Fronts in Slowly Changing Media.- 10 Large Scale Approximation for Reaction-Diffusion Equations.- 11 Homogenization in PDE’s and in Stochastic Processes.- References.

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Titolo: Markov Processes and Differential Equations:...
Casa editrice: Birkhäuser
Data di pubblicazione: 1996
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Freidlin, Mark I.
Editore: Birkhäuser, 1996
ISBN 10: 3764353929 ISBN 13: 9783764353926
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations. Codice articolo 299781/202

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Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-A-012-02644

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Mark I. Freidlin
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative . Codice articolo 5279122

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Mark I. Freidlin
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Taschenbuch. Condizione: Neu. Markov Processes and Differential Equations | Asymptotic Problems | Mark I. Freidlin | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1996 | Birkhäuser | EAN 9783764353926 | Verantwortliche Person für die EU: Springer Nature c/o IBS, Benzstr. 21, 48619 Heek, tanja[dot]keller[at]springer[dot]com | Anbieter: preigu. Codice articolo 101686413

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Mark I. Freidlin
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations. Codice articolo 9783764353926

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations. 164 pp. Englisch. Codice articolo 9783764353926

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