Life as Non-Normal Chemical Accelerator

TL;DR

This paper proposes that living systems act as non-normal chemical accelerators, with their hierarchical biochemical networks inherently designed to amplify energy flow and entropy production through non-normal dynamics, challenging traditional views of dissipation.

Contribution

It introduces a novel framework linking biological organization to non-normal dynamical systems, supported by empirical and theoretical evidence of non-reciprocal biochemical interactions.

Findings

Biochemical networks naturally exhibit non-normal operators.

Non-normal dynamics lead to kinetic acceleration and energy throughput.

Hierarchical structures promote entropy export and system robustness.

Abstract

Life is commonly described as a self-organized, far-from-equilibrium process that maintains internal order by consuming free energy and exporting entropy. This thermodynamic view underlies diverse theoretical frameworks -- from autopoiesis and relational biology to autocatalytic sets and hypercycles -- yet dissipation is typically treated as a necessary consequence of living organization rather than as a property shaped by its internal dynamics. Here, through explicit calculations of biotic chemical reactions and empirical documentation, we show that living systems universally function as non-normal chemical accelerators. Their elevated entropy production emerges from the asymmetric and hierarchical architecture of their biochemical networks. We introduce a general conceptual and mathematical framework in which biological structuration is understood as a dynamical property. Characterized by asymmetric couplings and transient amplification despite asymptotic stability, non-normal dynamics are shown to naturally generate kinetic acceleration, enhanced energy throughput, and phase-transition-like reorganizations without classical bifurcations. In this view, biological organization is not merely compatible with dissipation but actively structured to amplify free-energy flux and entropy export. We support this perspective with empirical and theoretical evidence that biochemical networks generically give rise to intrinsically non-normal operators through non-reciprocal interactions and hierarchical design. This framework yields testable predictions for dissipation rates, robustness, and evolutionary design principles, and suggests a kinetic principle of evolution in which living systems preferentially construct increasingly non-normal reaction architectures, driving sustained amplification of chemical fluxes and entropy flow.