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Algebraic Probability, Classical Stochastic Processes, and Counting Statistics

2013/07/12 by Jun Ohkubo · 1 citation
Physics and Astronomy · Computer Science · #Advanced Thermodynamics and Statistical Mechanics #Statistical Mechanics and Entropy #Gaussian Processes and Bayesian Inference

paper · doi:10.7566/jpsj.82.084001

Abstract

We study a connection between the algebraic probability and classical stochastic processes described by master equations. Introducing a definition of a state which has not been used for quantum cases, the classical stochastic processes can be reformulated in terms of the algebraic probability. This reformulation immediately gives the Doi-Peliti formalism, which has been frequently used in nonequilibrium physics. As an application of the reformulation, we give a derivation of basic equations for counting statistics, which plays an important role in nonequilibrium physics.

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