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Phys. Rev. Lett. 96, 210602 (2006) [4 pages]

Path Summation Formulation of the Master Equation

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Sean X. Sun
Department of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland 21218, USA
Department of Chemical and Biomolecular Engineering and Whitaker Institute of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, 21218, USA

Received 23 February 2006; published 1 June 2006

Markovian dynamics, modeled by the kinetic master equation, has wide ranging applications in chemistry, physics, and biology. We derive an exact expression for the probability of a Markovian path in discrete state space for an arbitrary number of states and path length. The total probability of paths repeatedly visiting a set of states can be explicitly summed. The transition probability between states can be expressed as a sum over all possible paths connecting the states. The derived path probabilities satisfy the fluctuation theorem. The paths can be the starting point for a path space Monte Carlo procedure which can serve as an alternative algorithm to analyze pathways in a complex reaction network.

© 2006 The American Physical Society

URL:
http://link.aps.org/doi/10.1103/PhysRevLett.96.210602
DOI:
10.1103/PhysRevLett.96.210602
PACS:
05.40.−a, 02.50.−r

See Also

Comment: O. Flomenbom, J. Klafter, and R. J. Silbey, Comment on “Path Summation Formulation of the Master Equation”, Phys. Rev. Lett. 97, 178901 (2006).

Reply: Sean X. Sun, Sun Replies:, Phys. Rev. Lett. 97, 178902 (2006).