The Genetic Code Theorem: A Zero-Parameter Derivation from Quantum Microphysics to Maximum Entropy Production

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Authors: mathias capron
Cited by: 0
References: 1

Abstract

We present a complete, parameter-free derivation establishing the Standard Genetic Code (SGC) as a dissipative optimum. Unlike previous studies relying on empirical property tables, this work derives amino-acid properties ab initio from the Coulomb Hamiltonian. The argument proceeds in three rigorous layers: Microphysics (L0): Amino-acid descriptors (nonpolar SASA and electrostatic moment) are defined as functionals of the Schrödinger equation solutions, with zero fitted parameters. Statistics: The SGC cost lies in the extreme tail of the permutation null ensemble (p ~ 10^-6) across parameter-free error channels (e.g., FH, PosOnly), validated by exact analytic moments. Thermodynamics: This optimality is identified as the minimization of error-induced dissipation, consistent with the Maximum Entropy Production (MEP) principle.

Fields of Study & Subjects

Origins and Evolution of Life Gene Regulatory Network Analysis Advanced Thermodynamics and Statistical Mechanics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Language
EN
Document type
Preprint