Linear Nearest Neighbor Flocks with All Distinct Agents
R. Lyons, J. J. P. Veerman

TL;DR
This paper studies the complex dynamics of 1D agent arrays with unique, non-Newtonian linear couplings, extending previous models to analyze systems with all distinct agents and generalized boundary conditions.
Contribution
It introduces a novel analysis of linear 1D agent systems with all distinct agents and non-Newtonian interactions, extending previous models to more general boundary conditions.
Findings
Approximate global dynamics using low-frequency analysis.
Extended periodic boundary conditions provide quantitative insights.
Generalization to non-Newtonian, all-distinct-agent systems.
Abstract
This paper analyzes the global dynamics of 1-dimensional agent arrays with nearest neighbor linear couplings. The equations of motion are second order linear ODEs with constant coeffcients. The novel part of this research is that the couplings are different for each distinct agent. We allow the forces to depend on the positions and velocity (damping terms) but the magnitudes of both the position and velocity couplings are different for each agent. We, also, do not assume that the forces are "Newtonian" (i.e. the force due to A on B equals the minus the force of B on A) as this assumption does not apply to certain situations, such as traffic modeling. For example, driver A reacting to driver B does not imply the opposite reaction in driver B. There are no known analytical means to solve these systems, even though they are linear, and so relatively little is known about them. This paper…
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