Entropy as the geometric mean of partitioning: A pedagogical derivation from effective state counting

Using an effective state-counting approach, we show that entropy emerges as the logarithm of an effective number of states obtained from the weighted geometric mean of the inverse probabilities 1/pi.

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Publication Details

Journal
American Journal of Physics
Published
2026-09-22
DOI
https://doi.org/10.1119/5.0330859
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
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article

Entropy as the geometric mean of partitioning: A pedagogical derivation from effective state counting

Jinho Lee, Gyeong-Pil Kwon, Kyongwan Kim
American Journal of Physics
Advanced Thermodynamics and Statistical Mechanics
article

Entropy as the geometric mean of partitioning: A pedagogical derivation from effective state counting

Jinho Lee, Gyeong-Pil Kwon, Kyongwan Kim
article en

Abstract

Using an effective state-counting approach, we show that entropy emerges as the logarithm of an effective number of states obtained from the weighted geometric mean of the inverse probabilities 1/pi.

American Journal of PhysicsVol. 94(10)
Gyeongsang National University (KR), Gyeongin National University of Education (KR), Dankook University (KR)
Reduced inequalities
Openalex Percentile: Top 10%
Advanced Thermodynamics and Statistical Mechanics
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