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Mean-field limit of systems with multiplicative noise

Miguel A. Muñoz

Francesca Colaiori and Claudio Castellano

  • Departamento de Electromagnetismo y Física de la Materia and Instituto Carlos I de Física Teórica y Computacional, Facultad de Ciencias, Universidad de Granada, 18071 Granada, Spain

  • Dipartimento di Fisica, Università di Roma “La Sapienza” and Center for Statistical Mechanics and Complexity, INFM Unità Roma 1, Piazzale A. Moro 2, 00185 Roma, Italy

Phys. Rev. E 72, 056102 – Published 3 November, 2005

DOI: https://doi.org/10.1103/PhysRevE.72.056102

Abstract

A detailed study of the mean-field solution of Langevin equations with multiplicative noise is presented. Three different regimes depending on noise intensity (weak, intermediate, and strong noise) are identified by performing a self-consistent calculation on a fully connected lattice. The most interesting, strong-noise, regime is shown to be intrinsically unstable with respect to the inclusion of fluctuations, as a Ginzburg criterion shows. On the other hand, the self-consistent approach is shown to be valid only in the thermodynamic limit, while for finite systems the critical behavior is found to be different. In this last case, the self-consistent field itself is broadly distributed rather than taking a well defined mean value; its fluctuations, described by an effective zero-dimensional multiplicative noise equation, govern the critical properties. These findings are obtained analytically for a fully connected graph, and verified numerically both on fully connected graphs and on random regular networks. The results presented here shed some doubt on what is the validity and meaning of a standard mean-field approach in systems with multiplicative noise in finite dimensions, where each site does not see an infinite number of neighbors, but a finite one. The implications of all this on the existence of a finite upper critical dimension for multiplicative noise and Kardar-Parisi-Zhang problems are briefly discussed.

Article Text

References (33)

  1. N. G. van Kampen, Stochastic Processes in Physics and Chemistry (North-Holland, Amsterdam, 1981); C. W. Gardiner, Handbook of Stochastic Methods (Springer, Berlin, 1985).
  2. H. Hinrichsen, Adv. Phys. 49, 815 (2000).
  3. A. Schenzle and H. Brand, Phys. Rev. A 20, 1628 (1979); R. Graham and A. Schenzle, ibid. 25, 1731 (1982).
  4. See J. García-Ojalvo and J. M. Sancho, Noise in Spatially Extended Systems (Springer, New York, 1999), and references therein.
  5. S. Redner, Am. J. Phys. 58, 267 (1990).
  6. D. Sornette, Critical Phenomena in Natural Sciences, Springer Series in Synergetics (Springer, Heidelberg, 2000).
  7. A. S. Pikovsky and J. Kurths, Phys. Rev. E 49, 898 (1994). See also L. Baroni, R. Livi, and A. Torcini, ibid. 63, 036226 (2001); V. Ahlers and A. Pikovsky, Phys. Rev. Lett. 88, 254101 (2002).
  8. G. Grinstein, M. A. Muñoz, and Y. Tu, Phys. Rev. Lett. 76, 4376 (1996); Y. Tu, G. Grinstein, and M. A. Muñoz, ibid. 78, 274 (1997); M. A. Muñoz and T. Hwa, Europhys. Lett. 41, 147 (1998).
  9. W. Genovese and M. A. Muñoz, Phys. Rev. E 60, 69 (1999).
  10. C. Van den Broeck, J. M. R. Parrondo, and R. Toral, Phys. Rev. Lett. 73, 3395 (1994); C. Van den Broeck, J. M. R. Parrondo, R. Toral, and R. Kawai, Phys. Rev. E 55, 4084 (1997).
  11. L. Giada and M. Marsili, Phys. Rev. E 62, 6015 (2000).
  12. T. Birner, K. Lippert, R. Müller, A. Kühnel, and U. Behn, Phys. Rev. E 65, 046110 (2002).
  13. F. de los Santos, M. M. Telo da Gama, and M. A. Muñoz, Europhys. Lett. 57, 803 (2002); Phys. Rev. E 67, 021607 (2003).
  14. M. A. Muñoz and R. Pastor-Satorras, Phys. Rev. Lett. 90, 204101 (2003).
  15. M. A. Muñoz, in Advances in Condensed Matter and Statistical Mechanics, edited by E. Korutcheva and R. Cuerno (Nova Science Publishers, New York, 2004), p. 34.
  16. M. A. Muñoz, Phys. Rev. E 57, 1377 (1998).
  17. H. K. Janssen, e-print cond-mat∕0304631.
  18. M. Kardar, G. Parisi, and Y. C. Zhang, Phys. Rev. Lett. 56, 889 (1986).
  19. T. Halpin-Healy and Y.-C. Zhang, Phys. Rep. 254, 215 (1995). See also A. L. Barabási and H. E. Stanley, Fractal Concepts in Surface Growth (Cambridge University Press, Cambridge, U. K., 1995).
  20. P. C. Hohenberg and B. J. Halperin, Rev. Mod. Phys. 49, 435, (1977).
  21. B. Derrida and H. Spohn, J. Stat. Phys. 51, 817 (1988); J. Cook and B. Derrida, Europhys. Lett. 10, 195 (1989); B. Derrida and R. B. Griffiths, ibid. 8, 111 (1989); J. Cook and B. Derrida, J. Phys. A 23, 1523 (1990); B. Derrida, Phys. Scr. 38, 6 (1991); B. Derrida, M. R. Evans, and E. R. Speer, Commun. Math. Phys. 156, 221 (1993).
  22. M. Mézard and G. Parisi, J. Phys. I 1, 809 (1991); J. Phys. A 25, 4521 (1992).
  23. D. S. Fisher and D. A. Huse, Phys. Rev. B 43, 10728 (1991); T. Hwa and D. S. Fisher, ibid. 49 3136 (1994).
  24. D. O. Kharchenko, e-print cond-mat∕0004040.
  25. H. C. Fogedby, Phys. Rev. Lett. 94, 195702 (2005).
  26. T. Halpin-Healy, Phys. Rev. A 42, 711 (1990); M. Lässig and H. Kinzelbach, Phys. Rev. Lett. 78, 903 (1997); M. Lässig, J. Phys. A 10, 9905 (1998); K. J. Wiese, J. Stat. Phys. 93, 143 (1998); F. Colaiori and M. A. Moore, Phys. Rev. Lett. 86, 3946 (2001).
  27. C. Castellano, M. Marsili, and L. Pietronero, Phys. Rev. Lett. 80, 3527 (1998); C. Castellano, A. Gabrielli, M. Marsili, M. A. Muñoz, and L. Pietronero, Phys. Rev. E 58, R5209 (1998); E. Marinari, A. Pagnani, G. Parisi, and Z. Rácz, ibid. 65, 026136 (2002); T. Ala-Nissila, T. Hjelt, J. M. Kosterlitz, and O. Venalainen, J. Stat. Phys. 72, 207 (1993).
  28. J. Als-Nielsen and R. J. Birgenau, Am. J. Phys. 45, 554 (1977). See also the original paper, V. L. Ginzburg, Sov. Phys. Solid State 2, 1824 (1960).
  29. M. Le Bellac, Quantum and Statistical Field Theory (Oxford University Press, Oxford, 1991).
  30. Though the validity of naive power counting is not clear for the MN equation, this scaling relation seems to be preserved in all the cases we will discuss in what follows.

  31. Note that this is slightly different from the standard form of the Ginzburg criterion [28, 29], in which one typically determines the spatial dimension at which a Gaussian solution breaks down owing to the introduction of spatial fluctuations. To construct a criterion along such a line, one needs to have a mean-field estimation of the exponents γ and ν associated with the susceptibility and the correlation length, respectively. In the absence of a general mean-field theory to compute them we leave this as an open task.

  32. F. Bardou, J. P. Bouchaud, A. Aspect, and C. Cohen-Tannoudji, Levy Statistics and Laser Cooling (Cambridge University Press, Cambridge, U. K., 2002); Levy Flights and Related Topics in Physics, edited by M. F. Shlesinger, G. M. Zaslavsky, and U. Frisch (Springer, Berlin, 1995).
  33. S. H. Strogatz, Nature (London) 410, 268 (2001).

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