Harmonic statistics
Creators
Description
The exponential, the normal, and the Poisson statistical laws are of major importance due to their universality. Harmonic statistics are as universal as the three aforementioned laws, but yet they fall short in their 'public relations' for the following reason: the full scope of harmonic statistics cannot be described in terms of a statistical law. In this paper we describe harmonic statistics, in their full scope, via an object termed harmonic Poisson process: a Poisson process, over the positive half-line, with a harmonic intensity. The paper reviews the harmonic Poisson process, investigates its properties, and presents the connections of this object to an assortment of topics: uniform statistics, scale invariance, random multiplicative perturbations, Pareto and inverse-Pareto statistics, exponential growth and exponential decay, power-law renormalization, convergence and domains of attraction, the Langevin equation, diffusions, Benford's law, and 1/f noise. - Highlights: • Harmonic statistics are described and reviewed in detail. • Connections to various statistical laws are established. • Connections to perturbation, renormalization and dynamics are established.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.aop.2017.03.016Additional details
Identifiers
- DOI
- 10.1016/j.aop.2017.03.016;
- PII
- S0003-4916(17)30092-1;
Publishing Information
- Journal Title
- Annals of Physics (New York)
- Journal Volume
- 380
- Journal Page Range
- p. 168-187
- ISSN
- 0003-4916
- CODEN
- APNYA6
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 48064440
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- HARMONICS; LANGEVIN EQUATION; RENORMALIZATION; STATISTICS
- Descriptors DEC
- EQUATIONS; MATHEMATICS; OSCILLATIONS
Optional Information
- Copyright
- Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.