English

On the Mathematics of Swarming: Emergent Behavior in Alignment Dynamics

Analysis of PDEs 2021-02-19 v1 Adaptation and Self-Organizing Systems

Abstract

We overview recent developments in the study of alignment hydrodynamics, driven by a general class of symmetric communication kernels. A main question of interest is to characterize the emergent behavior of such systems, which we quantify in terms of the spectral gap of a weighted Laplacian associated with the alignment operator. Our spectral analysis of energy fluctuation covers both long-range and short-range kernels and does not require thermal equilibrium (no closure for the pressure). In particular, in the prototypical case of metric-based short-range kernels, the spectral gap admits a lower-bound expressed in terms of the discrete Fourier coefficients of the radial kernel, which enables us to quantify an emerging flocking behavior for non-vacuous solutions. These large-time behavior results apply as long as the solutions remain smooth. It is known that global smooth solutions exist in one and two spatial dimensions, subject to sub-critical initial data. We settle the question for arbitrary dimension, obtaining non-trivial initial threshold conditions which guarantee existence of multiD global smooth solutions.

Keywords

Cite

@article{arxiv.2102.09134,
  title  = {On the Mathematics of Swarming: Emergent Behavior in Alignment Dynamics},
  author = {Eitan Tadmor},
  journal= {arXiv preprint arXiv:2102.09134},
  year   = {2021}
}