Deformation of power law in the double Pareto distribution using uniformly distributed observation time

Fuente: arXiv
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Main Authors: Yamamoto, Ken, Bando, Takashi, Yanagawa, Hirokazu, Yamazaki, Yoshihiro
Format: Preprint
Published: 2024
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_version_ 1866917652074594304
author Yamamoto, Ken
Bando, Takashi
Yanagawa, Hirokazu
Yamazaki, Yoshihiro
author_facet Yamamoto, Ken
Bando, Takashi
Yanagawa, Hirokazu
Yamazaki, Yoshihiro
contents The double Pareto distribution is a heavy-tailed distribution with a power-law tail, that is generated via geometric Brownian motion with an exponentially distributed observation time. In this study, we examine a modified model wherein the exponential distribution of the observation time is replaced with a continuous uniform distribution. The probability density, complementary cumulative distribution, and moments of this model are exactly calculated. Furthermore, the validity of the analytical calculations is discussed in comparison with numerical simulations of stochastic processes.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12091
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Deformation of power law in the double Pareto distribution using uniformly distributed observation time
Yamamoto, Ken
Bando, Takashi
Yanagawa, Hirokazu
Yamazaki, Yoshihiro
Statistical Mechanics
Probability
60J70
G.3
The double Pareto distribution is a heavy-tailed distribution with a power-law tail, that is generated via geometric Brownian motion with an exponentially distributed observation time. In this study, we examine a modified model wherein the exponential distribution of the observation time is replaced with a continuous uniform distribution. The probability density, complementary cumulative distribution, and moments of this model are exactly calculated. Furthermore, the validity of the analytical calculations is discussed in comparison with numerical simulations of stochastic processes.
title Deformation of power law in the double Pareto distribution using uniformly distributed observation time
topic Statistical Mechanics
Probability
60J70
G.3
url https://arxiv.org/abs/2403.12091