Flocking under Fast and Large Jumps: Stability, Chaos, and Traveling Waves
Sayan Banerjee, Amarjit Budhiraja, Dilshad Imon

TL;DR
This paper analyzes a stochastic flocking model with large, fast jumps, characterizes its large system limit, and proves convergence to traveling wave solutions, addressing open problems in the field.
Contribution
It extends the understanding of flocking models to unbounded jump rates, establishing large system limits, stationary distributions, and convergence to traveling waves.
Findings
Large n limit of the empirical measure is characterized.
Existence and uniqueness of stationary distributions are proven.
Convergence to traveling wave solutions is established.
Abstract
We study a model for flocking given by a -particle system under which each particle jumps forward by a random amount, independently sampled from a given distribution , with rate given by a non-increasing function of its signed distance from the system center of mass. This model was introduced in Bal\'azs et. al. (2014) and some of its properties were studied for the case when is bounded. In the current work we are interested in the setting where is unbounded, and this feature results in a stochastic dynamical system for interacting particles with fast and large jumps for which little is available in the literature. We characterize the large limit (the so-called `fluid limit') of the empirical measure process associated with the system and prove a propagation of chaos result. Next, for the centered -particle system, by constructing suitable Lyapunov…
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Taxonomy
TopicsGuidance and Control Systems · Evacuation and Crowd Dynamics · Quantum chaos and dynamical systems
