Hierarchical Fractional Quantization in Molecular Excited States:A Unified Framework from Symmetry Breaking

09 January 2026, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This work establishes hierarchical fractional quantization (HFQ) as a universal framework for decoding the energy-level structure of quantum systems through successive symmetry breaking. We demonstrate that the total energy of an excited-state multiplet can be decomposed into a sum of contributions from distinct symmetry layers,each characterized by rational energy coefficients derived from group representation theory. The framework is first rigorously demonstrated in the hydrogen atom, where its complete spectrum is reformulated as a hierarchical expansion stemming from the breaking of SO(4) symmetry.The central theorem extends this to molecular systems: for a parent multiplet transforming under a symmetry ๐บ(0), a perturbation with lower symmetry ๐บ(1) induces an average energy shift that is a rational multiple of a fundamental energy scale. Crucially, the rational coefficient is determined a priori by the branching ratios of the group representations, not fitted a posteriori.We validate the theory through a non-circular protocol employing high-precision quantum chemical calculations on four benchmark systems: benzene (๐ท6โ„Ž), water (๐ถ2๐‘ฃ), C60 (๐ผโ„Ž), and an iron(II) complex [Fe(H2O)6]2+(๐‘‚โ„Ž).The predicted rational coefficients agree with values extracted from computed energy shifts within statistical uncertainty, passing rigorous ๐œ’2 and Bayesian hypothesis tests. For water, the observed Jahnโ€“Teller energy ratio ๐ธJT(D2O)/๐ธJT(H2O) โ‰ˆ 4/3 is explained through a symmetry-dimension renormalization model where nuclear statistics impose Hilbert space dimension ratios ๐‘‘๐ป : ๐‘‘๐ท = 4 : 3.This work unifies atomic and molecular spectroscopy under the principle of symmetry-governed fractional energy quantization, offering a predictive tool for spectral interpretation, molecular quantum materials design, and qubit engineering.

Keywords

Fractional quantization
Hierarchical symmetry breaking
Group representation theory
Molecular excited states
High-precision quantum chemistry
Bayesian evidence
Jahnโ€“Teller effect
Spin-orbit coupling

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