Mathematical framework unifies dynamics across domains, suggesting a new understanding of stability and risk.
This paper introduces and formally develops the Universal Law of Balance, a mathematical framework positing that all complex systems — physical, biological, social, and ethical — evolve dynamically toward minimizing measurable deviations from their optimal or ideal states. Drawing on systems theory, thermodynamics, homeostasis theory, complexity science, and moral philosophy, we present a unified set of equations governing systemic imbalance, feedback dynamics, and failure risk. The central claim is that an imbalance metric B(t), defined as the weighted sum of component deviations from ideal states, governs the stability of any system, while a risk function R(t) = B(t) / B_crit determines proximity to systemic collapse. We demonstrate the applicability of this framework across four major domains: physics, biology, society, and ethics. The paper argues that recognizing this universal law provides both explanatory and predictive power, and offers a new perspective on how stability, harm, and recovery can be understood and managed across all scales of organization.
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Angelito Enriquez Malicse (2026) studied this question.
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