KINETIC ISOMORPHISM

In the paper's words

The schism between the time-reversible, unitary laws of quantum mechanics and the irreversible, adaptive nature of biological systems constitutes a central failure of modern ontology. We propose the kinetic isomorphism, a unified theoretical framework demonstrating that “static” matter and “active” life are not distinct categories of substance, but isomorphic solutions to the universal problem of persistence in a noisy continuum. By integrating the physics of the Planck scale with non-equilibrium thermodynamics, we derive the algorithmic phase transition: a critical threshold where the mechanism of stability shifts from passive topological protection (energy minimization) to active error correction (free energy dissipation).

The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.

Numbers it reports

1. RESOLUTION LIMITS, AND THERMODYNAMIC COST OF IDENTITY Author: Rowan Brad Quni-Gudzinas Contact: rowan.quni@outlook.com ORCID: 0009-0002-4317-5604 ISNI: 0000000526456062 URL: https://papers.qnfo.org/papers/kinetic-isomorphism/ Publication Date: 2025-11-30 Version: 1.0 Abstract : The schism between the time-reversible, unitary laws of quantum mechanics and the irreversible, adaptive nature of biological systems constitutes a central failure of modern ontology.

   from METASTABILITY,

2. England (2013) derives a thermodynamic lower bound for self-replication, showing that the maintenance of complex, life-like structures is favored in systems driven by strong external energy sources.

   from 1.4 Problem of Persistence

3. Friston (2010) describes this through the free energy principle, arguing that biological agents must minimize the long-term average of surprise (entropy) to maintain their structural integrity.

   from 1.5 Algorithmic Solution

4. It implies that “survival” is a function of energy availability; if the flux $\Phi$ drops below this threshold, the system undergoes an algorithmic collapse , dissolving into the thermal background not because its materials are destroyed, but because its control loops can no longer outpace the noise (Pigolotti et al., 2015).

   from 3.1 Active Work Function

How it is done

1. By integrating the physics of the Planck scale with non-equilibrium thermodynamics, we derive the algorithmic phase transition : a critical threshold where the mechanism of stability shifts from passive topological protection (energy minimization) to active error correction (free energy dissipation).

   from METASTABILITY,

2. England (2013) derives a thermodynamic lower bound for self-replication, showing that the maintenance of complex, life-like structures is favored in systems driven by strong external energy sources.

   from 1.4 Problem of Persistence

3. We derive the governing equations for the transition, specifically focusing on the thermodynamic cost of maintaining information above the complexity threshold.

   from 1.7 Research Objectives

4. The “glue” holding a proton together is formally identical to the “glue” holding a cell together: it is the integration of information into a robust, error-correcting whole.

   from 2.4 Topological-Correction

What would falsify it

1. We generate falsifiable predictions regarding the thermodynamic cost of information, specifically testing the Landauer-Friston limit, which sets a lower bound on the energy dissipation required for any system to maintain its algorithmic identity.

   from 1.7 Research Objectives

2. Information The theory predicts that any system processing information to maintain its state must emit a specific heat signature, distinguishable from simple metabolic waste heat.

   from 4.1 Heat Signature of

3. We predict that dormant biological systems (spores) effectively switch to passive identity (vitrification), dropping their heat output to near-zero, whereas any active cognition or metabolism will adhere strictly to the Landauer-Friston limit (Sterling & Laughlin, 2020).

   from 4.1 Heat Signature of

Where the claim stops

1. Standard reductionism attempts to bridge this gap by treating biological organization as merely a complexification of chemical substrates, yet this fails to account for the thermodynamic imperative that drives the transition from inert matter to adaptive life.

   from 1.1 Ontological Bifurcation

2. However, Berthier and Biroli (2011) complicate this dichotomy by demonstrating that even “static” states like glass are actually kinetic arrests—fluids flowing on timescales exceeding the observation window—suggesting that the boundary between the passive and the active is not a difference of substance, but of timescale and dynamic regime.

   from 1.1 Ontological Bifurcation

3. A rigorous analysis of physical reality must begin with the recognition that all physical entities are constrained by a finite resolution limit, rendering the mathematical concept of a continuum an approximation valid only above a specific scale.

   from 1.2 Resolution Constraint

Where to read

1. METASTABILITY,181 words · 1 min
2. 1.0 INTRODUCTION1,206 words · 5 min
3. 2.0 METHODOLOGICAL FRAMEWORK387 words · 2 min
4. 3.0 DYNAMICS AND SCALING LAWS300 words · 1 min
5. 4.0 PREDICTIONS AND222 words · 1 min