Book VI — The Geometry of the Living (Radial Coherential Dynamics)

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Authors: Arturo Cerezo
Cited by: 0

Abstract

Book VI — The Geometry of the Living applies the formal framework developed in Books IV and V of Radial Coherential Dynamics (RCD) to biological and cognitive systems. The book addresses a central physical question: how organized systems maintain memory and structure at physiological temperatures (≈310 K), where thermal noise would be expected to rapidly erase coherence. Using the operational N3 criterion (τ_memory ≫ τ_noise), the volume analyzes living systems as extreme examples of structural persistence under dissipation. The discussion progresses across scales: • cellular membranes as filters of causality and entropic attack surface,• genetic code as a long-term structural memory kernel enabling trans-generational persistence, and• neural networks as dynamic, self-modifying kernels where memory becomes reflexive. The book does not claim macroscopic quantum coherence in biological systems, nor does it propose a new theory of consciousness. Instead, it demonstrates quantitative and conceptual compatibility between living systems and thermodynamic constraints (Landauer’s principle), non-Markovian memory, and geometric persistence. A final cosmic interlude extends the N3 criterion beyond biology, reframing life as a natural phase of matter wherever geometries capable of memory-dominated persistence emerge. Book VI emphasizes methodological restraint: it identifies what is supported, what is compatible, and what remains speculative, without overclaim. Its purpose is to show that life, cognition, and persistence can be discussed within a unified physical language grounded in thermodynamics and information theory.

Fields of Study & Subjects

Complex Systems and Dynamics Advanced Thermodynamics and Statistical Mechanics Biofield Effects and Biophysics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
31 January 2026
Language
EN
Document type
Preprint