Of overlapping Cantor sets and earthquakes: analysis of the discrete Chakrabarti-Stinchcombe model

被引:15
作者
Bhattacharyya, P [1 ]
机构
[1] Saha Inst Nucl Phys, Theoret Condensed Matter Phys Div, Kolkata 700064, W Bengal, India
关键词
cantor set; overlapping fractals; time series; binomial distribution; earthquake prediction;
D O I
10.1016/j.physa.2004.09.014
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We report an exact analysis of a discrete form of the Chakrabarti-Stinchcombe model for earthquakes (Physica A 270 (1999) 27), which considers a pair of dynamically overlapping finite generations of the Cantor set as a prototype of geological faults. In this model the nth generation of the Cantor set shifts on its replica in discrete steps of the length of a line segment in that generation and periodic boundary conditions are assumed. We determine the general form of time sequences for the constant magnitude overlaps and, hence, obtain the complete time-series of overlaps by the superposition of these sequences for all overlap magnitudes. From the time-series we derive the exact frequency distribution of the overlap magnitudes. The corresponding probability distribution of the logarithm of overlap magnitudes for the nth generation is found to assume the form of the binomial distribution for n Bernoulli trials with probability (1)/(3) for the success of each trial. For an arbitrary pair of consecutive overlaps in the time-series where the magnitude of the earlier overlap is known, we find that the magnitude of the later overlap can be determined with a definite probability; the conditional probability for each possible magnitude of the later overlap follows the binomial distribution for k Bernoulli trials with probability (1)/(2) for the success of each trial and the number k is determined by the magnitude of the earlier overlap. Although this model does not produce the Gutenberg-Richter law for earthquakes, our results indicate that the fractal structure of faults admits a probabilistic prediction of earthquake magnitudes. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:199 / 215
页数:17
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