Continuous Wave Incommensurability over Primes: Dynamical Level Repulsion, Finite-Time Resonance Avoidance, and the Physical Origin of Spectral Rigidity

For over fifty years following the Montgomery–Dyson encounter, the correspondence between the non-trivial zeros of the Riemann zeta function and quantum spectral statistics has motivated extensive investigation into the relation between arithmetic structure and quantum spectra. This paper proposes a dynamical paradigm in which spectral rigidity emerges from Wave Node Resonance Avoidance. Dynamical resonance between two oscillatory modes is governed by their minimum nodal separation ()within a resonance tolerance ). For exact integer frequency ratios (), () produces recurrent maximal nodal alignment, the maximum macroscopic resonance amplitude, and maximal accumulated resonance over a specified interaction time, favoring () and spectral clustering. For (), the attainable resonance amplitude decreases continuously with nodal separation, reducing the accumulated resonance over the same interval. The boundary () therefore defines the minimum resonance condition required for transition; for (), the accumulated resonance falls below that threshold and mode coalescence is suppressed, favoring level repulsion. Neutron-resonance data in the Nuclear Data Ensemble (NDE) provide an empirical test of GOE spectral statistics and must be distinguished from the GUE pair correlation recognized by Dyson in Montgomery’s zeta-zero result. The framework generalizes the static correlation to an interaction-dependent profile () and interprets primes as discrete integer-lattice projections of continuous wave incommensurability.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-11
DOI
https://doi.org/10.5281/zenodo.22697153
Primary Topic
Quantum chaos and dynamical systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Continuous Wave Incommensurability over Primes: Dynamical Level Repulsion, Finite-Time Resonance Avoidance, and the Physical Origin of Spectral Rigidity

Dongwoo Kwak
Zenodo (CERN European Organization for Nuclear Research)
Quantum chaos and dynamical systems
article

Continuous Wave Incommensurability over Primes: Dynamical Level Repulsion, Finite-Time Resonance Avoidance, and the Physical Origin of Spectral Rigidity

Dongwoo Kwak
article en

Abstract

For over fifty years following the Montgomery–Dyson encounter, the correspondence between the non-trivial zeros of the Riemann zeta function and quantum spectral statistics has motivated extensive investigation into the relation between arithmetic structure and quantum spectra. This paper proposes a dynamical paradigm in which spectral rigidity emerges from Wave Node Resonance Avoidance. Dynamical resonance between two oscillatory modes is governed by their minimum nodal separation ()within a resonance tolerance ). For exact integer frequency ratios (), () produces recurrent maximal nodal alignment, the maximum macroscopic resonance amplitude, and maximal accumulated resonance over a specified interaction time, favoring () and spectral clustering. For (), the attainable resonance amplitude decreases continuously with nodal separation, reducing the accumulated resonance over the same interval. The boundary () therefore defines the minimum resonance condition required for transition; for (), the accumulated resonance falls below that threshold and mode coalescence is suppressed, favoring level repulsion. Neutron-resonance data in the Nuclear Data Ensemble (NDE) provide an empirical test of GOE spectral statistics and must be distinguished from the GUE pair correlation recognized by Dyson in Montgomery’s zeta-zero result. The framework generalizes the static correlation to an interaction-dependent profile () and interprets primes as discrete integer-lattice projections of continuous wave incommensurability.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 10%
Quantum chaos and dynamical systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.