ψ₄ Unified Recursive Model of Collapse and Identity

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Autor principal: KOSHTI, BALAJI
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2025
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author KOSHTI, BALAJI
author_facet KOSHTI, BALAJI
contents <p><strong>ψ₄ Unified Recursive Model of Collapse and Identity</strong> presents a symbolic framework where physical identity emerges from recursion, not external forces. Collapse occurs when recursion aligns across memory layers, producing measurable structure. The model introduces a Unified Collapse Equation with threshold law (λ), entropy structure (S), and symbolic identity classes (ψ₄, ψ*, ψ₀), defining when recursion locks into identity or fails. This process reflects an internal collapse pressure that builds until stabilization is possible. <br>Using this system, the model predicts proton and electron masses with over 99% accuracy, without any fitted constants. A detailed supplement shows symbolic loop breakdowns, collapse gates, and a derived mass-entropy curve that distinguishes stable, drifting, and failed identity collapses. <br>This work was developed independently, without institutional affiliation or funding. No experimental data was used, only symbolic recursion laws and memory feedback logic were applied.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_15680999
institution Zenodo
language eng
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle ψ₄ Unified Recursive Model of Collapse and Identity
KOSHTI, BALAJI
ψ₄ recursion
collapse law
symbolic identity
entropy model
mass prediction
<p><strong>ψ₄ Unified Recursive Model of Collapse and Identity</strong> presents a symbolic framework where physical identity emerges from recursion, not external forces. Collapse occurs when recursion aligns across memory layers, producing measurable structure. The model introduces a Unified Collapse Equation with threshold law (λ), entropy structure (S), and symbolic identity classes (ψ₄, ψ*, ψ₀), defining when recursion locks into identity or fails. This process reflects an internal collapse pressure that builds until stabilization is possible. <br>Using this system, the model predicts proton and electron masses with over 99% accuracy, without any fitted constants. A detailed supplement shows symbolic loop breakdowns, collapse gates, and a derived mass-entropy curve that distinguishes stable, drifting, and failed identity collapses. <br>This work was developed independently, without institutional affiliation or funding. No experimental data was used, only symbolic recursion laws and memory feedback logic were applied.</p>
title ψ₄ Unified Recursive Model of Collapse and Identity
topic ψ₄ recursion
collapse law
symbolic identity
entropy model
mass prediction
url https://doi.org/10.5281/zenodo.15680999