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Noise-induced multistability in chemical systems: Discrete versus continuum modeling

Andrew Duncan1, Shuohao Liao1, Tomáš Vejchodský1,2, Radek Erban1,*, and Ramon Grima3,†

  • 1Mathematical Institute, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom
  • 2Institute of Mathematics, Czech Academy of Sciences, Žitná 25, CZ-115 67, Czech Republic
  • 3School of Biological Sciences, Kings Buildings, Mayfield Road, University of Edinburgh, EH9 3JF, United Kingdom

  • *erban@maths.ox.ac.uk
  • ramon.grima@ed.ac.uk

Phys. Rev. E 91, 042111 – Published 10 April, 2015

DOI: https://doi.org/10.1103/PhysRevE.91.042111

Abstract

The noisy dynamics of chemical systems is commonly studied using either the chemical master equation (CME) or the chemical Fokker-Planck equation (CFPE). The latter is a continuum approximation of the discrete CME approach. It has recently been shown that for a particular system, the CFPE captures noise-induced multistability predicted by the CME. This phenomenon involves the CME's marginal probability distribution changing from unimodal to multimodal as the system size decreases below a critical value. We here show that the CFPE does not always capture noise-induced multistability. In particular we find simple chemical systems for which the CME predicts noise-induced multistability, whereas the CFPE predicts monostability for all system sizes.

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References (19)

  1. N. G. van Kampen, Stochastic Processes in Physics and Chemistry (Elsevier, Amsterdam, 2007).
  2. W. Horsthemke and L. Brenig, Z. Physik B 27, 341 (1977).
  3. R. Grima, P. Thomas, and A. V. Straube, J. Chem. Phys. 135, 084103 (2011).
  4. D. Schnoerr, G. Sanguinetti, and R. Grima, J. Chem. Phys. 141, 024103 (2014).
  5. R. Erban, S. J. Chapman, I. G. Kevrekidis, and T. Vejchodský, SIAM J. Appl. Math. 70, 984 (2009).
  6. P. Thomas, A. V. Straube, J. Timmer, C. Fleck, and R. Grima, J. Theor. Biol. 335, 222 (2013).
  7. P. Hanggi, H. Grabert, P. Talkner, and H. Thomas, Phys. Rev. A 29, 371 (1984).
  8. W. Horsthemke and R. Lefever, Noise-Induced Transitions: Theory and Applications in Physics, Chemistry, and Biology (Springer, Berlin, 1984).
  9. T. Kepler and T. Elston, Biophys. J. 81, 3116 (2001).
  10. H. Qian, P-Z. Shi and J. Xing, Phys. Chem. Chem. Phys. 11, 4861 (2009).
  11. P. Thomas, N. Popovic, and R. Grima, Proc. Natl. Acad. Sci. U.S.A. 111, 6994 (2014).
  12. T. Biancalani, L. Dyson, and A. J. McKane, Phys. Rev. Letts. 112, 038101 (2014).
  13. V. Shahrezaei and P. S. Swain, Proc. Natl. Acad. Sci. U.S.A. 105, 17256 (2008).
  14. B. Alberts et al., Molecular Biology of the Cell (Garland Publishing, New York, 1994).
  15. D. T. Gillespie, J. Phys. Chem. 81, 2340 (1977).
  16. S. Larsson and T. Vidar, Partial Differential Equations with Numerical Methods (Springer, Berlin, 2008).
  17. D. T. Gillespie, J. Chem. Phys. 113, 297 (2000).
  18. R. Grima, D. Schmidt, and T. J. Newman, J. Chem. Phys. 137, 035104 (2012).
  19. B. P. English, W. Min, A. M. van Oijen, K. T. Lee, G. Luo, H. Sun, B. J. Cherayil, S. C. Kou, and X. S. XieS, Nat. Chem. Biol. 2, 87 (2006).

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