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Stochastic theory of nonlinear rate processes with multiple stationary states

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  • Oppenheim, Irwin
  • Shuler, Kurt E.
  • Weiss, George H.

Abstract

A comparison has been made between the deterministic and stochastic (master equation) formulation of nonlinear chemical rate processes with multiple stationary states. We have shown, via two specific examples of chemical reaction schemes, that the master equations have quasi-stationary state solutions which agree with the various initial condition dependent equilibrium solutions of the deterministic equations. The presence of fluctuations in the stochastic formulation leads to true equilibrium solutions, i.e. solutions which are independent of initial conditions as t → ∞. We show that the stochastic formulation leads to two distinct time scales for relaxation. The mean time for the reaction system to reach the quasi-stationary states from any initial state is of O(N0) where N is a measure of the size of the reaction system. The mean time for relaxation from a quasi-stationary state to the true equilibrium state is O(eN). The results obtained from the stochastic formulation as regards the number and location of the quasi-stationary states are in complete agreement with the deterministic results.

Suggested Citation

  • Oppenheim, Irwin & Shuler, Kurt E. & Weiss, George H., 1977. "Stochastic theory of nonlinear rate processes with multiple stationary states," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 88(2), pages 191-214.
  • Handle: RePEc:eee:phsmap:v:88:y:1977:i:2:p:191-214
    DOI: 10.1016/0378-4371(77)90001-2
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    1. Edmond Langer, 1966. "The ECONOMIC IMPORTANCE OF PUBLIC ENTERPRISE IN BELGIUM," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 37(1), pages 65-76, January.
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    Cited by:

    1. van Doorn, Erik A. & Pollett, Philip K., 2013. "Quasi-stationary distributions for discrete-state models," European Journal of Operational Research, Elsevier, vol. 230(1), pages 1-14.
    2. Wierman, John C. & Marchette, David J., 2004. "Modeling computer virus prevalence with a susceptible-infected-susceptible model with reintroduction," Computational Statistics & Data Analysis, Elsevier, vol. 45(1), pages 3-23, February.
    3. Ross, J.V. & Pollett, P.K., 2010. "Simple rules for ranking and optimally managing metapopulations," Ecological Modelling, Elsevier, vol. 221(21), pages 2515-2520.

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