The expression of ensemble average internal energy in long-range interaction complex system and its statistical physical properties

TL;DR

This paper derives a statistical physics model for long-range interaction systems, applying it to income distribution data to explain economic phenomena and crises.

Contribution

It introduces a novel energy distribution model based on nonextensive entropy, linking physical and economic systems with empirical validation.

Findings

Probability distribution matches US income data across all ranges

Internal energy, entropy, and temperature of income system are calculated

Model explains economic crises through statistical physical properties

Abstract

In this paper, we attempt to derive the expression of ensemble average internal energy in long-range interaction complex system. Further, the Shannon entropy hypothesis is used to derive the probability distribution function of energy. It is worth mentioning that the probability distribution function of energy can be equivalent to the q-Gaussian distribution given by Tsallis based on nonextensive entropy. In order to verify the practical significance of this model, it is applied to the older subject of income system. The classic income distribution is two-stage, the most recognized low-income distribution is the exponential form, and the high-income distribution is the recognized Pareto power law distribution. The probability distribution can explain the entire distribution of United States income data. In addition, the internal energy, entropy and temperature of the United States income system can be calculated, and the economic crisis in the United States in recent years can be presented. It is believed that the model will be further improved and extended to other areas.