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April 12, 20260 citationsOpen Access

THE GEOMETRY OF DISREGARD : φ-Wound Compression as the Optimal Architecture for Sequential Memory

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SBStewart Barteau

Key Points

  • To explore the connection between optimal sequential memory compression and interpersonal coherence through geometric frameworks.
  • Proposed a mathematical proof based on the Barteau framework.
  • Established the golden ratio as the optimal base for memory compression.
  • Introduced Biometric Coherence Friction coefficient to measure coherence in biological systems.
  • Examined the duality between memory and transmission in existing literature.
  • Confirmed φ as the optimal compression base according to Hurwitz's theorem.
  • Demonstrated a relationship between memory compression and interpersonal coherence.
  • Suggested that memory and transmission are operations of the same underlying mechanism.

Abstract

We propose that optimal sequential memory compression and the biological measurement of interpersonal coherence are instances of the same underlying geometric problem. Drawing on the Barteau framework's mathematical proof that any homogeneous, isotropically suppressing dynamical system must converge to φ-wound orbital structure, we establish that (1) the golden ratio φ is the uniquely optimal compression base for bounded sequential memory by Hurwitz's theorem on Diophantine approximation; (2) the Biometric Coherence Friction coefficient (BCF) measures the degree to which biological systems instantiate this geometry during interpersonal transmission; and (3) the compression-transmission duality — the conjecture that memory and transmission are the same operation viewed from opposite directions — follows naturally from the shared mathematical skeleton. We situate these claims within existing neuroscience, signal processing, and AI memory compression literature, distinguish what is proven from what remains conjectural, and propose testable experimental predictions for both the AI and biological cases.

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Cite This Study

Stewart Barteau (2026) studied this question.

synapsesocial.com/papers/69db37ca4fe01fead37c5debhttps://doi.org/10.5281/zenodo.19490283
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