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Markov Processes and Differential Equations - Asymptotic Problems (Paperback, Softcover reprint of the original 1st ed. 1996)
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Markov Processes and Differential Equations - Asymptotic Problems (Paperback, Softcover reprint of the original 1st ed. 1996)
Series: Lectures in Mathematics. ETH Zurich
Expected to ship within 10 - 15 working days
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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.
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