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May 20, 20260 citationsOpen Access

Where the Laws of Thermodynamics Come From: Applying the MESA Method to the Boltzmann Equation and the Fractal Origin of Entropy

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LRLucian Randolph

Key Points

  • The aim is to investigate the origins of thermodynamic laws through the application of the MESA Method to the Boltzmann equation.
  • Applied the MESA Method to analyze the Boltzmann equation across various temperature scales.
  • Examined the geometric classification of the Boltzmann equation in terms of fractal geometry.
  • Generated predictions about thermodynamic behavior based on fractal properties.
  • Predicted that the Boltzmann equation exhibits fractal geometric classification.
  • Demonstrated that laws of thermodynamics result from fractal architecture, such as energy conservation reflecting self-similarity.
  • Provided testable predictions that align with existing thermodynamic data across multiple regimes.

Abstract

The laws of thermodynamics are among the most universal principles in physics. They govern everything from chemical reactions to black holes, from refrigerators to the heat death of the universe. Yet their origin remains philosophically unsettled: they are typically derived as statistical consequences of microscopic dynamics, but the reason statistical mechanics produces these specific laws — and not others — is rarely examined. This paper applies the MESA Method to the Boltzmannequation, driving temperature across extreme orders of magnitude from near absolute zero to stellar interiors and beyond. The analysis predicts that the Boltzmann equation satisfies fractal geometric classification, and that this classification provides the missing origin story for thermodynamics: the laws of thermodynamics are not independent principles. They are inherited properties of fractal geometric architecture. Energy conservation reflects self-similarity symmetry. Entropy increasereflects fractal cascade directionality. Phase transitions reflect fractal geometric criticality. The arrow of time reflects the irreversibility of fractal phase transitions. The framework produces testable predictions against existing thermodynamic data across multiple regimes.

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Cite This Study

Lucian Randolph (2026) studied this question.

synapsesocial.com/papers/6a0d5114f03e14405aa9d68ehttps://doi.org/10.5281/zenodo.20277881
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