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Simple unified view of branching process statistics: Random walks in balanced logarithmic potentials
Phys. Rev. E 95, 032115 – Published 7 March, 2017
DOI: https://doi.org/10.1103/PhysRevE.95.032115
Abstract
We revisit the problem of deriving the mean-field values of avalanche exponents in systems with absorbing states. These are well known to coincide with those of unbiased branching processes. Here we show that for at least four different universality classes (directed percolation, dynamical percolation, the voter model or compact directed percolation class, and the Manna class of stochastic sandpiles) this common result can be obtained by mapping the corresponding Langevin equations describing each of them into a random walker confined to the origin by a logarithmic potential. We report on the emergence of nonuniversal continuously varying exponent values stemming from the presence of small external driving – that might induce avalanche merging – that, to the best of our knowledge, has not been noticed in the past. Many of the other results derived here appear in the literature as independently derived for individual universality classes or for the branching process itself. Still, we believe that a simple and unified perspective as the one presented here can help (1) clarify the overall picture, (2) underline the superuniversality of the behavior as well as the dependence on external driving, and (3) avoid the common existing confusion between unbiased branching processes (equivalent to a random walker in a balanced logarithmic potential) and standard (unconfined) random walkers.
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References (53)
- T. Liggett, Interacting Particle Systems, Classics in Mathematics (Springer, New York, 2004).
- T. E. Harris, The Theory of Branching Processes (Dover, New York, 1989).
- J. Marro and R. Dickman, Nonequilibrium Phase Transition in Lattice Models (Cambridge University Press, Cambridge, 1999).
- M. Henkel, H. Hinrichsen, and S. Lübeck, Non-Equilibrium Phase Transitions: Absorbing Phase Transitions, Theoretical and Mathematical Physics (Springer, Berlin, 2008).
- G. Ódor, Universality in Nonequilibrium Lattice Systems: Theoretical Foundations (World Scientific, Singapore, 2008).
- G. Grinstein and M. A. Muñoz, in Fourth Granada Lectures in Computational Physics, Lecture Notes in Physics, Vol. 493, edited by P. Garrido and J. Marro (Springer, New York, 1996), p. 223.
- K. A. Takeuchi, M. Kuroda, H. Chaté, and M. Sano, Phys. Rev. Lett. 99, 234503 (2007).
- H. K. Janssen, Z. Phys. B 42, 151 (1981).
- P. Grassberger, Z. Phys. B 47, 365 (1982).
- J. Binney, N. Dowrick, A. Fisher, and M. Newman, The Theory of Critical Phenomena (Oxford University Press, Oxford, 1993).
- Another group of universal behavior is that of systems with noise proportional to the activity (rather that to the square root of the activity); these encode a different type of processes where the most dominant fluctuations are not demographic, but associated to spatiotemporal variability in the overall parameters [48, 49, 50].
- R. Dickman and A. Y. Tretyakov, Phys. Rev. E 52, 3218 (1995).
- I. Dornic, H. Chaté, J. Chave, and H. Hinrichsen, Phys. Rev. Lett. 87, 045701 (2001).
- O. A. Hammal, H. Chaté, I. Dornic, and M. A. Muñoz, Phys. Rev. Lett. 94, 230601 (2005).
- P. Grassberger, Math. Biophys. 63, 157 (1983).
- H. K. Janssen, Z. Phys. B 58, 311 (1985).
- A. Vespignani, R. Dickman, M. A. Muñoz, and S. Zapperi, Phys. Rev. Lett. 81, 5676 (1998).
- J. A. Bonachela and M. A. Muñoz, J. Stat. Mech. (2009) P09009.
- L. P. Kadanoff, S. R. Nagel, L. Wu, and S.-M. Zhou, Phys. Rev. A 39, 6524 (1989).
- J. P. Sethna, K. A. Dahmen, and C. R. Myers, Nature (London) 410, 242 (2001).
- A. Baldassarri, F. Colaiori, and C. Castellano, Phys. Rev. Lett. 90, 060601 (2003).
- M. A. Muñoz, R. Dickman, A. Vespignani, and S. Zapperi, Phys. Rev. E 59, 6175 (1999).
- J. Bonachela, Universality in self-organized criticality, Ph.D. thesis, University of Granada, Granada, Spain, 2008.
- S. Lübeck, Int. J. Mod. Phys. B 18, 3977 (2004).
- H. N. Huynh and G. Pruessner, Phys. Rev. E 85, 061133 (2012).
- H. W. Watson and F. Galton, J. Anthropol. Inst. Great Britain and Ireland 4, 138 (1875).
- W. Feller, Ann. Math., Second Series 54, 173 (1951).
- P. Hilton and J. Pedersen, Math. Intell. 13, 64 (1991).
- N. Dershowitz and C. Rinderknecht, Math. Mag. 88, 187 (2015).
- S. Redner, A Guide to First-Passage Processes (Cambridge University Press, Cambridge, 2001).
- M. Plischke and B. Bergersen, Equilibrium Statistical Physics (World Scientific, Singapore, 2006).
- S. Zapperi, K. B. Lauritsen, and H. E. Stanley, Phys. Rev. Lett. 75, 4071 (1995).
- R. Otter, Ann. Math. Stat. 20, 206 (1949).
- M. A. Muñoz, G. Grinstein, and Y. Tu, Phys. Rev. E 56, 5101 (1997).
- H. K. Janssen, J. Phys. Condens. Matter 17, S1973 (2005).
- N. G. Van Kampen, Stochastic Processes in Physics and Chemistry, Vol. 1 (Elsevier, Amsterdam, The Netherlands, 1992).
- C. Gardiner, Stochastic Methods: A Handbook for the Natural and Social Sciences, Springer Series in Synergetics (Springer, New York, 2009).
- An alternative approach to analyze Langevin equations such as Eq. (6) consists in reabsorbing the noise amplitude into the time scale, leading to a standard random walk with a different “clock” [51]. Another interesting possibility is deriving these results from a more general fractional Brownian motion [52].
- A. Bray, Phys. Rev. E 62, 103 (2000).
- F. Colaiori, Adv. Phys. 57, 287 (2008).
- In the case of the standard RW case the scaling function has been exactly derived (see, e.g., Ref. [53]), but its specific form is not essential for our purposes here.
- S. Papanikolaou, F. Bohn, R. L. Sommer, G. Durin, S. Zapperi, and J. P. Sethna, Nat. Phys. 7, 316 (2011).
- J. M. Beggs and D. Plenz, J. Neurosci. 23, 11167 (2003).
- H. G. Schuster, D. Plenz, and E. Niebur, Criticality in Neural Systems (John Wiley & Sons, New York, NY, 2014).
- J. Essam, J. Phys. A 22, 4927 (1989).
- A. Dobrinevski, P. L. Doussal, and K. J. Wiese, Europhys. Lett. 108, 66002 (2015).
- L. Laurson, X. Illa, S. Santucci, K. T. Tallakstad, K. J. Måløy, and M. J. Alava, Nat. Commun. 4, 2927 (2013).
- G. Grinstein, M. A. Muñoz, and Y. Tu, Phys. Rev. Lett. 76, 4376 (1996).
- W. Genovese, M. A. Muñoz, and J. M. Sancho, Phys. Rev. E 57, R2495 (1998).
- M. A. Muñoz, F. Colaiori, and C. Castellano, Phys. Rev. E 72, 056102 (2005).
- K. J. Rubin, G. Pruessner, and G. A. Pavliotis, J. Phys. A 47, 195001 (2014).
- M. Ding and W. Yang, Phys. Rev. E 52, 207 (1995).
- S. N. Majumdar and A. Comtet, J. Stat. Phys. 119, 777 (2005).