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This preprint introduces a theoretical formulation of the energy-coherence trade-off in adaptive systems, suggesting implications for stability and adaptation.
This preprint introduces the PANMENZ² Law of the Energy–Coherence Trade‑off, a minimal foundational formulation of a general dynamical constraint governing adaptive systems across neural, cognitive, agentive, social, and cultural scales. The law states that adaptive systems regulate their evolution such that an energy‑dimensioned functional, F(t) = E(t) − λ·C(t), does not increase over time. This inequality formalizes the principle that energy expenditure and structural complexity are permissible only when compensated by coherence gain. The PANMENZ² Law provides a unifying energetic perspective on stability, adaptation, and coherence across multiple domains and establishes the conceptual and mathematical core for future operator‑based and multi‑scale extensions. This work provides a theoretical and mathematical formulation rather than an empirical study.
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Matthias Hajari (2026) studied this question.
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