Analysis of natural time domain entropy fluctuations of synthetic seismicity generated by a simple stick–slip system with asperities
C.A. Vargas,
E.L. Flores-Márquez,
A. Ramírez-Rojas and
L. Telesca
Physica A: Statistical Mechanics and its Applications, 2015, vol. 419, issue C, 23-28
Abstract:
In the framework of the information theory, entropy measures the level of disorder of a system or its uncertainty. Varotsos et al. (2004) introduced the concept of entropy in natural time domain as a discriminating statistics. In this paper, we analyzed the fluctuations of entropy, δS, of synthetic seismicity produced by an experimental stick–slip system in order to investigate its Markovian behavior. Our system, whose asperities are given by sandpapers of different granularity degrees, mimics the dynamics of tectonic plates. We found that δS is able to characterize the synthetic seismic process as non-Markovian for higher threshold magnitudes and lower lengths of the time window sweeping through the dataset.
Keywords: Entropy; Natural time domain; Stick–slip system; Seismicity (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437114008759
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:419:y:2015:i:c:p:23-28
DOI: 10.1016/j.physa.2014.10.037
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().