Numerical Modeling of Flocking Dynamics with Topological Interactions

Authors

  • Marta Menci Università Campus Bio-Medico di Roma
  • Thierry Paul CNRS Laboratoire Ypatia des Sciences Mathématiques
  • Stefano Rossi ETH Zurich image/svg+xml
  • Tommaso Tenna Université Côte d'Azur image/svg+xml

DOI:

https://doi.org/10.4208/cicp.OA-2025-0078

Keywords:

Flocking, topological interactions, mean-field models

Abstract

In this paper, we propose a numerical investigation of topological interactions in flocking dynamics. Starting from a microscopic description of the phenomena, mesoscopic and macroscopic models have been previously derived under specific assumptions. We explore the role of topological interactions by describing the convergence speed to consensus in both microscopic and macroscopic dynamics, considering different forms of topological interactions. Additionally, we compare mesoscopic and macroscopic dynamics for monokinetic and non-monokinetic initial data. Finally, we illustrate with some simulations in one- and two-dimensional domains the sensitive dependence of solutions on initial conditions, including the case where the system exhibits two solutions starting with the same initial data.

Author Biographies

  • Marta Menci

    Università Campus Bio-Medico di Roma, Rome, Italy

  • Thierry Paul

    CNRS Laboratoire Ypatia des Sciences Mathématiques (LYSM), Rome, Italy

  • Stefano Rossi

    ETH, Zurich, Switzerland

  • Tommaso Tenna

    Laboratoire J.A.Dieudonné, Université Côte d’Azur, Nice, France & Università degli Studi di Roma La Sapienza, Rome, Italy

Published

2025-11-07

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How to Cite

Numerical Modeling of Flocking Dynamics with Topological Interactions. (2025). Communications in Computational Physics, 39(1), 240-260. https://doi.org/10.4208/cicp.OA-2025-0078