Collective Turns in Spinless Flocks
Joao Liz\'arraga, Marcus de Aguiar

TL;DR
This paper presents a minimal model explaining how non-reciprocal local interactions enable efficient information transfer during collective turns in flocks, with analytical and scattering predictions applicable to other physical systems.
Contribution
It introduces a novel aggregation-based model highlighting non-reciprocal interactions as key to flock turning dynamics, supported by perturbative analysis and wave scattering insights.
Findings
Velocity fluctuations described by a Born approximation
Wave scattering occurs during information transfer
Model makes testable predictions for flock behavior
Abstract
Using a minimal aggregation-based model, we address the efficient information transfer observed in natural flocks during collective turns. Specifically, we demonstrate that this feature can arise solely from the non-reciprocal nature of local interactions. Through a perturbative analysis, moreover, we find that velocity fluctuations (in the continuum) can be described by a Born approximation. We then show that a wave propagating across the flock undergoes scattering. Our model provides testable predictions and can be extended to study other physical contexts exhibiting polar order.
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Taxonomy
TopicsMicro and Nano Robotics · Distributed Control Multi-Agent Systems · Diffusion and Search Dynamics
