Socioeconomic Gauging of Brown and Levy Power Motions

Recently introduced, power Brownian motion and power Levy motion are versatile and practical anomalous-diffusion models. On the one hand, the power motions are easily constructed and are easily tracked. On the other hand, the power motions display an assortment of anomalous behaviors including: sub-diffusion and super-diffusion; aging and anti-aging; and persistence and anti-persistence. This paper investigates the power motions from a socioeconomic-inequality perspective. Using this perspective, key statistical and temporal behaviors of the power motions are interpreted and scored. In particular, the paper provides simple and explicit quantitative answers-which are based on socioeconomic inequality indices-to the following question: what is the 'degree of anomaly' of each of the power-motions' anomalous behaviors? The socioeconomic approach presented in this paper may be applied (in future research) to additional anomalous-diffusion models.

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Publication Details

Journal
Entropy
Published
2026-02-12
DOI
https://doi.org/10.3390/e28020216
Primary Topic
Complex Systems and Time Series Analysis
Type
article
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article

Socioeconomic Gauging of Brown and Levy Power Motions

Iddo Eliazar
Entropy
Complex Systems and Time Series Analysis
article

Socioeconomic Gauging of Brown and Levy Power Motions

Iddo Eliazar
article en

Abstract

Recently introduced, power Brownian motion and power Levy motion are versatile and practical anomalous-diffusion models. On the one hand, the power motions are easily constructed and are easily tracked. On the other hand, the power motions display an assortment of anomalous behaviors including: sub-diffusion and super-diffusion; aging and anti-aging; and persistence and anti-persistence. This paper investigates the power motions from a socioeconomic-inequality perspective. Using this perspective, key statistical and temporal behaviors of the power motions are interpreted and scored. In particular, the paper provides simple and explicit quantitative answers-which are based on socioeconomic inequality indices-to the following question: what is the 'degree of anomaly' of each of the power-motions' anomalous behaviors? The socioeconomic approach presented in this paper may be applied (in future research) to additional anomalous-diffusion models.

EntropyVol. 28(2)
Tel Aviv University (IL)
Reduced inequalities
Openalex Percentile: Top 63%
Complex Systems and Time Series Analysis
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