Waveform Proportionality and Taylor's Law Induced by Synchronization of Periodic and Chaotic Oscillators

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Hauptverfasser: Mitsui, Yuzuru, Kori, Hiroshi
Format: Preprint
Veröffentlicht: 2023
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author Mitsui, Yuzuru
Kori, Hiroshi
author_facet Mitsui, Yuzuru
Kori, Hiroshi
contents Taylor's law (TL), the scaling relationship between the mean and variance, has been observed in various fields. However, the underlying reasons why TL is so widely observed, why the exponents of TL are often close to 2, and the relationship between temporal and spatial TLs are not fully understood. Here, using coupled oscillator models, we analytically and numerically demonstrate that synchronization can induce TL. In particular, we show that strong synchronization leads to waveform proportionality, resulting in temporal and spatial TLs with exponent 2. Our study can help infer the existence of synchronization solely from the relationship between the mean and variance.
format Preprint
id arxiv_https___arxiv_org_abs_2308_02124
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Waveform Proportionality and Taylor's Law Induced by Synchronization of Periodic and Chaotic Oscillators
Mitsui, Yuzuru
Kori, Hiroshi
Adaptation and Self-Organizing Systems
Taylor's law (TL), the scaling relationship between the mean and variance, has been observed in various fields. However, the underlying reasons why TL is so widely observed, why the exponents of TL are often close to 2, and the relationship between temporal and spatial TLs are not fully understood. Here, using coupled oscillator models, we analytically and numerically demonstrate that synchronization can induce TL. In particular, we show that strong synchronization leads to waveform proportionality, resulting in temporal and spatial TLs with exponent 2. Our study can help infer the existence of synchronization solely from the relationship between the mean and variance.
title Waveform Proportionality and Taylor's Law Induced by Synchronization of Periodic and Chaotic Oscillators
topic Adaptation and Self-Organizing Systems
url https://arxiv.org/abs/2308.02124