Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/1277
Authors: Lavenda, B. H.* 
Cipollone, E.* 
Title: Extreme value statistics and thermodynamics of earthquakes: large earthquakes
Issue Date: Jun-2000
Series/Report no.: 43/3
URI: http://hdl.handle.net/2122/1277
Keywords: Gutemberg-Richter and Pareto laws
Fréchet and Gumbel distributions for energy and magnitude
compound Poisson processes
earthquake temperature and volume
upper order statistics
maximum earthquake energy
Subject Classification05. General::05.01. Computational geophysics::05.01.04. Statistical analysis 
Abstract: A compound Poisson process is used to derive a new shape parameter which can be used to discriminate between large earthquakes and aftershock sequences. Sample exceedance distributions of large earthquakes are fitted to the Pareto tail and the actual distribution of the maximum to the Fréchet distribution, while the sample distribution of aftershocks are fitted to a Beta distribution and the distribution of the minimum to the Weibull distribution for the smallest value. The transition between initial sample distributions and asymptotic extreme value distributions shows that self-similar power laws are transformed into nonscaling exponential distributions so that neither self-similarity nor the Gutenberg-Richter law can be considered universal. The energy-magnitude transformation converts the Fréchet distribution into the Gumbel distribution, originally proposed by Epstein and Lomnitz, and not the Gompertz distribution as in the Lomnitz-Adler and Lomnitz generalization of the Gutenberg-Richter law. Numerical comparison is made with the Lomnitz-Adler and Lomnitz analysis using the same Catalogue of Chinese Earthquakes. An analogy is drawn between large earthquakes and high energy particle physics. A generalized equation of state is used to transform the Gamma density into the order-statistic Fréchet distribution. Earthquaketemperature and volume are determined as functions of the energy. Large insurance claims based on the Pareto distribution, which does not have a right endpoint, show why there cannot be a maximum earthquake energy.
Appears in Collections:Annals of Geophysics

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