Intermittency and Localization

TL;DR

This paper extends logistic growth models to produce diverse behaviors observed across various real-world systems in fields like economics, sociology, biology, and ecology, highlighting the model's broad applicability.

Contribution

It introduces simple extensions to classical logistic growth models, enabling them to replicate complex behaviors seen in numerous scientific domains.

Findings

Extended logistic models reproduce diverse real-world behaviors

Models applicable across multiple scientific disciplines

Demonstrates the versatility of simple growth extensions

Abstract

In this paper, we show how simple logistic growth that was studied intensively during the last 200 years in many domains of science could be extended in a rather simple way and with these extensions is capable to produce a collection of behaviors widely observed in an enormous number of real-life systems in Economics, Sociology, Biology, Ecology and more.