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Thermodynamic theory of voting and EU elections

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  • Klaus M. Frahm
  • Dima L. Shepelyansky

Abstract

We introduce a thermodynamic theory of voting and show that it provides a good description of distribution of party votes in EU elections. The theory traces parallels between system energies of coupled nonlinear oscillators and party vote fractions. Such a classical system evolution is characterized by the conservation of total energy and probability norm that leads to the Rayleigh-Jeans (RJ) thermalization and condensation at low energy states. A similar thermalization also describes the wealth inequality in society. This feature belongs to the phenomena of constraint driven condensation known in statistical mechanics. We show that the RJ theory well depicts the Lorenz and Pareto curves obtained from the EU vote results. The theory also recovers the dispersion of votes between candidates of first round presidential elections in France.

Suggested Citation

  • Klaus M. Frahm & Dima L. Shepelyansky, 2026. "Thermodynamic theory of voting and EU elections," Papers 2607.15119, arXiv.org.
  • Handle: RePEc:arx:papers:2607.15119
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    References listed on IDEAS

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    1. Boghosian, Bruce M. & Devitt-Lee, Adrian & Johnson, Merek & Li, Jie & Marcq, Jeremy A. & Wang, Hongyan, 2017. "Oligarchy as a phase transition: The effect of wealth-attained advantage in a Fokker–Planck description of asset exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 476(C), pages 15-37.
    2. Klaus M. Frahm & Dima L. Shepelyansky, 2026. "Thermodynamic description of worldwide distribution of energy and carbon emission," Papers 2607.07315, arXiv.org.
    3. Myerson, Roger B. & Weber, Robert J., 1993. "A Theory of Voting Equilibria," American Political Science Review, Cambridge University Press, vol. 87(1), pages 102-114, March.
    4. Adrian Dragulescu & Victor M. Yakovenko, 2000. "Statistical mechanics of money," Papers cond-mat/0001432, arXiv.org, revised Aug 2000.
    5. Klaus M. Frahm & Leonardo Ermann & Dima L. Shepelyansky, 2026. "Thermodynamic description of wealth inequality in the world," Papers 2606.17965, arXiv.org.
    6. Katarzyna Sznajd-Weron & Józef Sznajd, 2000. "Opinion Evolution In Closed Community," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 1157-1165.
    7. Serge Galam, 2008. "Sociophysics: A Review Of Galam Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 409-440.
    8. Rabinowitz, George & Macdonald, Stuart Elaine, 1989. "A Directional Theory of Issue Voting," American Political Science Review, Cambridge University Press, vol. 83(1), pages 93-121, March.
    9. Klaus M. Frahm & Dima L. Shepelyansky, 2026. "Dynamical thermalization and turbulence in social stratification models," Papers 2603.24190, arXiv.org, revised Jul 2026.
    10. Victor M. Yakovenko & J. Barkley Rosser, 2009. "Colloquium: Statistical mechanics of money, wealth, and income," Papers 0905.1518, arXiv.org, revised Dec 2009.
    11. Słomczyński, Wojciech & Życzkowski, Karol, 2012. "Mathematical aspects of degressive proportionality," Mathematical Social Sciences, Elsevier, vol. 63(2), pages 94-101.
    12. Mario Filiasi & Giacomo Livan & Matteo Marsili & Maria Peressi & Erik Vesselli & Elia Zarinelli, 2012. "On the concentration of large deviations for fat tailed distributions, with application to financial data," Papers 1201.2817, arXiv.org, revised Jun 2014.
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