The characteristics of linear filament system is studied based on Incomplete statistics

Non-extensive statistical mechanics has shown its superiority in explaining the singular phenomena of complex physical ensembles, and Incomplete statistics is one of the methods. The idea of Incomplete statistics was used, the E-V distribution of Shannon entropy is derived and applied to the linear filament system to simulate the E-T-q image. The results show that the thermodynamic properties under different q values are different from the traditional statistical results, which provides a theoretical basis for explaining the phenomena of real complex physical systems.

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Publication Details

Journal
Advances in Engineering Technology Research
Published
2024-09-14
DOI
https://doi.org/10.56028/aetr.12.1.145.2024
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
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article

The characteristics of linear filament system is studied based on Incomplete statistics

Yaya Li, Xiaochun Yong
Advances in Engineering Technology Research
Modular Robots and Swarm Intelligence
article

The characteristics of linear filament system is studied based on Incomplete statistics

Yaya Li, Xiaochun Yong
article en

Abstract

Non-extensive statistical mechanics has shown its superiority in explaining the singular phenomena of complex physical ensembles, and Incomplete statistics is one of the methods. The idea of Incomplete statistics was used, the E-V distribution of Shannon entropy is derived and applied to the linear filament system to simulate the E-T-q image. The results show that the thermodynamic properties under different q values are different from the traditional statistical results, which provides a theoretical basis for explaining the phenomena of real complex physical systems.

Advances in Engineering Technology ResearchVol. 12(1)
Openalex Percentile: Top 75%
Modular Robots and Swarm Intelligence
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The characteristics of linear filament system is studied based on Incomplete statistics — Yaya Li, Xiaochun Yong · Advances in Engineering Technology Research (2024) | TGRS Research Map | TGRS