2013
DOI: 10.1103/physreve.87.022126
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Universal fluctuations and extreme statistics of avalanches near the depinning transition

Abstract: We derive exact predictions for universal scaling exponents and scaling functions associated with the statistics of maximum velocities vm during avalanches described by the mean field theory of the interface depinning transition. In particular, we find a robust power-law regime in the statistics of maximum events that can explain the observed distribution of the peak amplitudes in acoustic emission experiments of crystal plasticity. Our results are expected to be broadly applicable to a broad range of systems … Show more

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Cited by 61 publications
(83 citation statements)
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References 58 publications
(122 reference statements)
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“…Note that this result was obtained independently in Refs. [58,59] by completely different methods. It can also be obtained by integrating the propagator (136) overu f from 0 to ∞.…”
Section: Subavalanche Durations In the Standard Abbm Modelmentioning
confidence: 99%
“…Note that this result was obtained independently in Refs. [58,59] by completely different methods. It can also be obtained by integrating the propagator (136) overu f from 0 to ∞.…”
Section: Subavalanche Durations In the Standard Abbm Modelmentioning
confidence: 99%
“…where v 0 ∼ S m /δt, with S m the minimum avalanche size and δt the minimum avalanche duration [27]. v 0 may be thought of as the size of the initial "kick" starting an avalanche.…”
Section: Appendix: Derivation Of the Merged Avalanche Distributionmentioning
confidence: 99%
“…3 will go undetected by the standard methods. If we assume the avalanches are drawn from the distribution predicted by MFT [27],…”
Section: A One Avalanche Per Time Step (T S T I and T A T I )mentioning
confidence: 99%
See 1 more Smart Citation
“…Questions related to the statistics of the first maximum, X max = M 1,N have emerged in various areas of physics ranging from disordered systems [19][20][21] and fluctuating interfaces [22][23][24][25][26] to stochastic processes [27], random matrices [28] and many others. While the statistics of the extremum X max is important another natural question is: is this extremal value isolated, i.e., far away from the others, or is there many other events close to them?…”
Section: Introductionmentioning
confidence: 99%