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Nonlinear Sciences > Adaptation and Self-Organizing Systems

Title: Correlated Avalanche-Burst Invasion Percolation: Multifractal Origins of a Characteristic Self-Organized Critical System

Abstract: We extend our previous model, avalanche-burst invasion percolation (AIP) by introducing long-range correlations between sites described by fractional Brownian statistics. In our previous models with independent, random site strengths, we reproduced a unique set of power-laws consistent with some of the b-values observed during induced seismicity. We expand upon this model to produce a family of critical exponents which could be characterized by the local long-range correlations inherent to host sediment. Further, in previous correlated invasion percolation studies, fractal behavior was found in only a subset of the range of Hurst exponent, $H$. We find fractal behavior persists for the entire range of Hurst exponent. Additionally, we show how multiple cluster scaling power laws results from changing the generalized Hurst parameter controlling long-range site correlations, and gives rise to a multifractal system. This emergent multifractal behavior plays a central role in allowing us to extend our model to better account for variations in the observed Gutenber-Richter b-values of induced seismicity.
Comments: To be Published in Phys. Rev. E 2024
Subjects: Adaptation and Self-Organizing Systems (nlin.AO); Statistical Mechanics (cond-mat.stat-mech)
Cite as: arXiv:2303.10272 [nlin.AO]
  (or arXiv:2303.10272v3 [nlin.AO] for this version)

Submission history

From: Ronaldo Ortez [view email]
[v1] Fri, 17 Mar 2023 22:56:31 GMT (5143kb,D)
[v2] Fri, 2 Jun 2023 01:03:04 GMT (5144kb,D)
[v3] Fri, 26 Jan 2024 02:22:43 GMT (5144kb,D)

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