Resonance Dynamics in Complex Adaptive Systems: A Minimal Model of the Waterbed Effect and Structural Singularization

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Authors: Bernd von Mallinckrodt
Cited by: 0

Abstract

This preprint introduces the Minimal Model of Resonance Dynamics (MMRD), a theoretical framework designed to analyze systemic fragility in complex adaptive systems (CAS). Modern socio-technical and economic systems are increasingly optimized for efficiency, often reducing structural diversity and adaptive capacity. While such optimization improves short-term performance, it can also create brittle structures that respond disproportionately to disturbances. The proposed framework formalizes the “Waterbed Effect”, a phenomenon in which localized interventions or perturbations are not absorbed but redistributed across interconnected system components. In highly connected networks with reduced structural entropy, disturbances propagate through the network topology and generate amplified resonance responses. The model integrates concepts from cybernetics, network science, and dynamical systems theory, linking adaptive capacity, connectivity, and perturbation strength through a minimal set of equations. A key result is the identification of a critical threshold S_{crit} at which the damping capacity of the system becomes insufficient to absorb perturbations, leading to resonance amplification and cascading instability. The framework synthesizes ideas from Ashby’s Law of Requisite Variety, May-Wigner stability theory, and Kuramoto synchronization, providing a conceptual bridge between cybernetic feedback dynamics and modern network stability analysis. Although intentionally minimal, the model offers a diagnostic perspective for understanding systemic backlash phenomena observed in supply chains, financial contagion, digital communication networks, and infrastructure cascades. The paper proposes resonance dynamics as a general lens for studying how connectivity and structural diversity jointly determine resilience in complex systems. Keywords Complex Adaptive Systems Network Stability Resonance Dynamics Systemic Risk Structural Entropy Cybernetics Network Cascades Resilience Theory Structural Singularization Nonlinear Dynamics Complexity Science Dynamical Systems

Fields of Study & Subjects

Complex Systems and Dynamics Ecosystem dynamics and resilience Complex Network Analysis Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 March 2026
Language
EN
Document type
Dataset