Analytical Perspectives on the Emergent Phenomena in Systems of Collective Behavior




RE 104

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Roman Shvydkoy

Department of Mathematics, Statistics, and Computer Science; University of Illinois at Chicago–




Systems governed by laws of self-organization arise in many different contexts including biology (swarming behavior of animals), social (opinion dynamics, social networks), technological (cosmology, control, robotics), and others.  A particular challenge in studying such systems  is to understand how local communication between "agents" gives rise to emergence of global collective behavior characterized by two basic  phenomena --  alignment and flocking.  In this talk we outline recent developments in the analysis of such emergent phenomena. We will describe several programs of research that has seen the most progress in recent years, with a special focus on the so-called Euler Alignment System, the macroscopic counterpart of the classical Cucker-Smale model. These systems give rise to a special class of fractional parabolic equations which pose a unique set of challenges from the perspective of regularity theory as well as asymptotic behavior.


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