Finite-N Self-Suppression in a Coherence-Weighted Decision Field: Effective Support, Mean–RMS Separation, and Pairwise Ranking Perturbation

This preprint presents a finite-N characterization of a weighted phase-coherent decision mechanism. For normalized nonnegative support weights p_j and independent uniformly distributed phases, the work derives the exact second-moment relation E[r²] = Σ_j p_j², motivating the effective support N_eff = 1/Σ_j p_j² and the resulting RMS scaling 1/√N_eff. The study further separates mean and RMS resultant magnitude, derives the expected candidatewise phase correction, and obtains an exact expression for the variance of centered pairwise ranking perturbations. Monte Carlo experiments across N = 4 to 512, including equal-weight and unequal-weight support models, agree closely with the analytical predictions. The release includes the manuscript, research data, rendered figures, mathematical derivations, evidence records, reproducibility results, and validation materials required to inspect and reproduce the reported results. The work is presented as an EPCF-specific finite-size characterization. The generic N^-1/2 scaling of incoherent random resultants is treated as established prior art; no novelty claim is made for that underlying classical scaling law. Version 1.0.0. DOI: 10.5281/zenodo.23126253

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-03
DOI
https://doi.org/10.5281/zenodo.23126252
Primary Topic
Probabilistic and Robust Engineering Design
Type
preprint
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preprint

Finite-N Self-Suppression in a Coherence-Weighted Decision Field: Effective Support, Mean–RMS Separation, and Pairwise Ranking Perturbation

Pierre-Edward Procyk
Zenodo (CERN European Organization for Nuclear Research)
Probabilistic and Robust Engineering Design
preprint

Finite-N Self-Suppression in a Coherence-Weighted Decision Field: Effective Support, Mean–RMS Separation, and Pairwise Ranking Perturbation

Pierre-Edward Procyk
preprint en

Abstract

This preprint presents a finite-N characterization of a weighted phase-coherent decision mechanism. For normalized nonnegative support weights p_j and independent uniformly distributed phases, the work derives the exact second-moment relation E[r²] = Σ_j p_j², motivating the effective support N_eff = 1/Σ_j p_j² and the resulting RMS scaling 1/√N_eff. The study further separates mean and RMS resultant magnitude, derives the expected candidatewise phase correction, and obtains an exact expression for the variance of centered pairwise ranking perturbations. Monte Carlo experiments across N = 4 to 512, including equal-weight and unequal-weight support models, agree closely with the analytical predictions. The release includes the manuscript, research data, rendered figures, mathematical derivations, evidence records, reproducibility results, and validation materials required to inspect and reproduce the reported results. The work is presented as an EPCF-specific finite-size characterization. The generic N^-1/2 scaling of incoherent random resultants is treated as established prior art; no novelty claim is made for that underlying classical scaling law. Version 1.0.0. DOI: 10.5281/zenodo.23126253

Zenodo (CERN European Organization for Nuclear Research)
Probabilistic and Robust Engineering Design
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Finite-N Self-Suppression in a Coherence-Weighted Decision Field: Effective Support, Mean–RMS Separation, and Pairwise Ranking Perturbation — Pierre-Edward Procyk · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS