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Hidden symmetry in networked systems

Abstract

We will develop mathematical tools for classifying bifurcations and dynamical behavior in network systems. My approach views the network structure as an intrinsic geometrical property, providing a foundation for interdisciplinary techniques. We aim to analyze the impact of interaction structures systematically. The central question in network dynamical systems is the influence of network structure on a dynamical system. This is crucial in various applications, from ecology to power grids, neuroscience to disease control. Despite numerous approaches, some fundamental dynamical systems techniques, especially bifurcation theory, are poorly understood for network systems. Local bifurcations are essential and rich in network systems, yet existing techniques fall short. Addressing this shortcoming is crucial for advancing the field. Our aim goal is to develop a unifying framework based on intrinsic geometrical descriptions to tackle this longstanding open problem (AU)

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