Feedback-induced self-oscillations in large interacting systems subjected to phase transitions
                Authored by Martino Daniele De
                
                    Date Published: 2019
                
                
                    DOI: 10.1088/1751-8121/aaf2dd
                
                
                    Sponsors:
                    
                        European Union
                        
                
                
                    Platforms:
                    
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                    Model Documentation:
                    
                        Other Narrative
                        
                        Mathematical description
                        
                
                
                    Model Code URLs:
                    
                        Model code not found
                    
                
                Abstract
                In this article it is shown that large systems with many interacting
units endowing multiple phases display self-oscillations in the presence
of linear feedback between the control and order parameters, where an
Andronov- Hopf bifurcation takes over the phase transition. This is
simply illustrated through the mean field Landau theory whose feedback
dynamics turn out to be described by the Van der PoI equation and it is
then validated for the fully connected Ising model following heat bath
dynamics. Despite its simplicity, this theory accounts potentially for a
rich range of phenomena: here it is applied to describe in a stylized
way (i) excess demand-price cycles due to strong herding in a simple
agent-based market model; (ii) congestion waves in queuing networks
triggered by user feedback to delays in overloaded conditions; and (iii)
metabolic network oscillations resulting from cell growth control in a
bistable phenotypic landscape.
                
Tags
                
                    Agent-based models
                
                    Dynamics
                
                    Ising model
                
                    phase transitions
                
                    Model
                
                    queuing networks
                
                    Statistical-mechanics
                
                    Metabolic networks
                
                    Self-oscillations