• Open Access

Maximum Entropy Distributions of Scale-Invariant Processes

Veronica Nieves, Jingfeng Wang, Rafael L. Bras, and Elizabeth Wood
Phys. Rev. Lett. 105, 118701 – Published 9 September 2010

Abstract

Organizations of many variables in nature such as soil moisture and topography exhibit patterns with no dominant scales. The maximum entropy (ME) principle is proposed to show how these variables can be statistically described using their scale-invariant properties and geometric mean. The ME principle predicts with great simplicity the probability distribution of a scale-invariant process in terms of macroscopic observables. The ME principle offers a universal and unified framework for characterizing such multiscaling processes.

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  • Received 15 July 2010

DOI:https://doi.org/10.1103/PhysRevLett.105.118701

This article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.

© 2010 The American Physical Society

Authors & Affiliations

Veronica Nieves*, Jingfeng Wang, and Rafael L. Bras

  • Department of Civil Environmental Engineering, University of California, Irvine, Irvine, California, USA

Elizabeth Wood§

  • Department of Civil Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

  • *vnieves@uci.edu
  • jingfenw@uci.edu
  • rlbras@uci.edu
  • §ewood@mit.edu

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Issue

Vol. 105, Iss. 11 — 10 September 2010

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