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Path Integrals For Stochastic Processes by Horacio Sergio Wio

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1Path Integrals And Perturbation Theory For Stochastic Processes

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We review and extend the formalism introduced by Peliti, that maps a Markov process to a path-integral representation. After developing the mapping, we apply it to some illustrative examples: the simple decay process, the birth-and-death process, and the Malthus-Verhulst process. In the first two cases we show how to obtain the exact probability generating function using the path integral. We show how to implement a diagrammatic perturbation theory for processes that do not admit an exact solution. Analysis of a set of coupled Malthus-Verhulst processes on a lattice leads, in the continuum limit, to a field theory for directed percolation and allied models.

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  • Title: ➤  Path Integrals And Perturbation Theory For Stochastic Processes
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  • Language: English

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