Derivation III: The Born Rule from Syndrome Minimization

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Auteur principal: Alcocer, Yuri
Format: Recurso digital
Publié: Zenodo 2026
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author Alcocer, Yuri
author_facet Alcocer, Yuri
contents <p><span>We derive the Born rule </span><span></span><span><span> </span>not as a probabilistic postulate, but as the <strong>unique measure</strong> that minimizes geometric syndrome (rank-deficit risk) while preserving foliation consistency. Probability emerges as the regulator's optimal allocation of existence to stable geometries.</span></p> <p><strong><span>Key Result</span></strong><span>: </span><span></span><span><span> </span>is the least-squares solution to projecting high-dimensional quantum states onto measurable 3D slices without breaking the manifold's geometric continuity.</span></p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18651194
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Derivation III: The Born Rule from Syndrome Minimization
Alcocer, Yuri
<p><span>We derive the Born rule </span><span></span><span><span> </span>not as a probabilistic postulate, but as the <strong>unique measure</strong> that minimizes geometric syndrome (rank-deficit risk) while preserving foliation consistency. Probability emerges as the regulator's optimal allocation of existence to stable geometries.</span></p> <p><strong><span>Key Result</span></strong><span>: </span><span></span><span><span> </span>is the least-squares solution to projecting high-dimensional quantum states onto measurable 3D slices without breaking the manifold's geometric continuity.</span></p>
title Derivation III: The Born Rule from Syndrome Minimization
url https://doi.org/10.5281/zenodo.18651194