A Parameter-Free Derivation of DNA Bioenergetics, Biological Coherence, Timescales, and Awareness from Recognition Physics

This paper rigorously derives essential features of biological physics — including DNA geometry, coherence energies, fundamental biological timescales, quantum-classical transition properties, and pathways to awareness — within the recognition physics framework. Using a minimal axiomatic basis that recognition alters reality and occurs through minimal overhead dual events, we define a timeless geometric pattern layer and solve for its eigenmodes.

We show that DNA dimensional constants, characteristic coherence energies and times, base-pair interaction energies, enzymatic rates, and psi or resonance windows all emerge as discrete features of recognition eigenvalue cascades from a fundamental scale, without dependence on empirically-fitted parameters. Furthermore, the same principles account for macroscopic phenomena such as the coherence times, neurological oscillations, and optimized frequencies for consciousness and psi access.

This explicitly anchors the biology of information, energy, cognition, and perception in unavoidable computational-physical minimalism, reducing life and mind to rigorous consequences of recognition eigenstructures. The framework is fully computable, falsifiable, and unifies quantum biology, cognitive science, and physics without empirical tuning. It provides a foundational, mathematically-anchored explanation of biological phenomena solely from first principles.