A Formal Physical Framework for the Origin of Life: Dissipation-Driven Selection of Evolving Replicators

TL;DR

This paper develops a formal physical framework based on non-equilibrium thermodynamics to explain the emergence and selection of replicators in the origin of life, emphasizing dissipation-driven biases and super-exponential growth pathways.

Contribution

It introduces a novel large-deviation formalism linking dissipation to the probabilistic selection of evolving replicators, highlighting the role of template-directed replication in abiogenesis.

Findings

Dissipation bias favors complex replicator emergence.

Template-directed replication leads to super-exponential growth.

Hierarchical transition from dissipative structures to information carriers.

Abstract

The emergence of life from inanimate matter presents a thermodynamic challenge: the Second Law of Thermodynamics dictates a global trend towards disorder, yet life constitutes localized pockets of profound organization. This paper presents a formal physical framework for abiogenesis grounded in the statistical physics of non-equilibrium systems. We transition from the established connection between dissipation and process probability (e.g., Crooks Fluctuation Theorem) to a large-deviation framework for the likelihood of system histories. This formalism reveals a probabilistic bias towards histories with greater integrated dissipation. We then demonstrate how this bias leads to the selection of heredity. The core of our argument is a rigorous mathematical proposition showing that while simple autocatalysis leads to an exponential increase in dissipation, template-directed replication, via its capacity for mutation and adaptation (a process from which we derive an effective adaptation rate, alpha), unlocks a super-exponential growth pathway. This translates to a doubly-exponential amplification in the relative probability of its emergence over time, constituting an asymptotically dominant physical bias for its selection. This framework delineates a hierarchical transition from simple dissipative structures to information-bearing replicators, whose stability is contingent upon exceeding critical thresholds of fidelity, kinetic efficiency, and resource supply. We conclude by proposing a refined, quantitative, and falsifiable experiment, defining a precise mathematical signature for identifying the onset of evolutionary processes in synthetic chemical systems.