Grassmannian reduction of cucker-smale systems and dynamical opinion games

Daniel Lear; David N. Reynolds; Roman Shvydkoy

doi:10.3934/dcds.2021095

Article Contents

2021, Volume 41, Issue 12: 5765-5787. Doi: 10.3934/dcds.2021095 open access

This issue Previous Article Extinction or coexistence in periodic Kolmogorov systems of competitive type Next Article Stabilization of nonautonomous parabolic equations by a single moving actuator

Grassmannian reduction of cucker-smale systems and dynamical opinion games

Department of Mathematics, Statistics and Computer Science, University of Illinois, Chicago, IL 60607, USA

^* Corresponding author: lear@uic.edu
^* Corresponding author: lear@uic.edu

Received: November 2020

Revised: May 2021

Early access: July 2021

Published: December 2021

This work was supported in part by NSF grant DMS-1813351

Abstract Full Text(HTML) Figure(1) Related Papers Cited by

Abstract

In this note we study a new class of alignment models with self-propulsion and Rayleigh-type friction forces, which describes the collective behavior of agents with individual characteristic parameters. We describe the long time dynamics via a new method which allows us to reduce analysis from the multidimensional system to a simpler family of two-dimensional systems parametrized by a proper Grassmannian. With this method we demonstrate exponential alignment for a large (and sharp) class of initial velocity configurations confined to a sector of opening less than $ \pi $.

In the case when characteristic parameters remain frozen, the system governs dynamics of opinions for a set of players with constant convictions. Viewed as a dynamical non-cooperative game, the system is shown to possess a unique stable Nash equilibrium, which represents a settlement of opinions most agreeable to all agents. Such an agreement is furthermore shown to be a global attractor for any set of initial opinions.

Keywords:

Mathematics Subject Classification: Primary: 92D25; Secondary: 35Q35.

Citation:

FullText(HTML)

Figure 1. Isosceles triangles in the proof of Lemma 4.3

Download: Full-size image PowerPoint slide

Related Papers

Cited by

References

[1]	G. Albi, N. Bellomo, L. Fermo, S.-Y. Ha, J. Kim, L. Pareschi, D. Poyato and J. Soler, Vehicular traffic, crowds, and swarms: From kinetic theory and multiscale methods to applications and research perspectives, Math. Models Methods Appl. Sci., 29 (2019), 1901-2005. doi: 10.1142/S0218202519500374.
[2]	J. Carrillo, Y.-P. Choi and S. Perez, A review on attractive-repulsive hydrodynamics for consensus in collective behavior, in Active Particles. Advances in Theory, Models, and Application, 1, Birkhäuser, 2017.
[3]	J. A. Carrillo, M. Fornasier, G. Toscani and F. Vecil, Particle, kinetic, and hydrodynamic models of swarming, Birkhäuser, 2010,297–336. doi: 10.1007/978-0-8176-4946-3_12.
[4]	J. A. Carrillo, Y.-P. Choi, P. B. Mucha and J. Peszek, Sharp conditions to avoid collisions in singular Cucker-Smale interactions, Nonlinear Anal. Real World Appl., 37 (2017), 317-328. doi: 10.1016/j.nonrwa.2017.02.017.
[5]	Y.-l. Chuang, M. R. D'Orsogna, D. Marthaler, A. L. Bertozzi and L. S. Chayes, State transitions and the continuum limit for a 2D interacting, self-propelled particle system, Phys. D, 232 (2007), 33-47. doi: 10.1016/j.physd.2007.05.007.
[6]	J. Cronin, Fixed Points and Topological Degree in Nonlinear Analysis, Mathematical Surveys, 11, American Mathematical Society, Providence, R.I., 1964.
[7]	F. Cucker and J.-G. Dong, Avoiding collisions in flocks, IEEE Trans. Automat. Control, 55 (2010), 1238-1243. doi: 10.1109/TAC.2010.2042355.
[8]	F. Cucker and S. Smale, Emergent behavior in flocks, IEEE Trans. Automat. Control, 52 (2007), 852-862. doi: 10.1109/TAC.2007.895842.
[9]	F. Cucker and S. Smale, On the mathematics of emergence, Jpn. J. Math., 2 (2007), 197-227. doi: 10.1007/s11537-007-0647-x.
[10]	M. H. DeGroot, Reaching a consensus, Journal of the American Statistical Association, 69 (1974), 121-132.
[11]	G. Deffuant, D. Neau, F. Amblard and G. Weisbuch, Mixing beliefs among interacting agents, Advances in Complex Systems, 3 (2000), 87-98.
[12]	H. Dietert and R. Shvydkoy, On cucker-smale dynamical systems with degenerate communication, Analysis and Appl., accepted. doi: 10.1142/S0219530520500050.
[13]	T. Do, A. Kiselev, L. Ryzhik and C. Tan, Global regularity for the fractional Euler alignment system, Arch. Ration. Mech. Anal., 228 (2018), 1-37. doi: 10.1007/s00205-017-1184-2.
[14]	S.-Y. Ha, T. Ha and J.-H. Kim, Asymptotic dynamics for the Cucker-Smale-type model with the Rayleigh friction, J. Phys. A, 43 (2010), 315201. doi: 10.1088/1751-8113/43/31/315201.
[15]	R. Hegselmann and U. Krause, Opinion dynamics and bounded confidence: Models, analysis, and simulations, Journal of Artificial Societies and Social Simulation, 5 (2002).
[16]	S.-Z. Huang, Gradient inequalities, Mathematical Surveys and Monographs, 126, American Mathematical Society, Providence, RI, 2006. doi: 10.1090/surv/126.
[17]	J. Kim and J. Peszek, Cucker-smale model with a bonding force and a singular interaction kernel, 2018.
[18]	Z. Li, X. Xue and D. Yu, On the Lojasiewicz exponent of Kuramoto model, J. Math. Phys., 56 (2015), 022704. doi: 10.1063/1.4908104.
[19]	S. Lojasiewicz, Une propriété topologique des sous-ensembles analytiques réels, in Les Équations aux Dérivées Partielles (Paris, 1962), Éditions du Centre National de la Recherche Scientifique, Paris, 1963, 87–89.
[20]	Z. Mao, Z. Li and G. E. Karniadakis, Nonlocal flocking dynamics: learning the fractional order of PDEs from particle simulations, Commun. Appl. Math. Comput., 1 (2019), 597-619. doi: 10.1007/s42967-019-00031-y.
[21]	P. Minakowski, P. B. Mucha, J. Peszek and E. Zatorska, Singular Cucker-Smale dynamics, in Active Particles, Vol. 2, Model. Simul. Sci. Eng. Technol., Birkhäuser/Springer, Cham, 2019,201–243.
[22]	J. Nash, Non-cooperative games, Ann. of Math. (2), 54 (1951), 286-295. doi: 10.2307/1969529.
[23]	J. Palis Jr. and W. de Melo, Geometric Theory of Dynamical Systems, Springer-Verlag, New York-Berlin, 1982.
[24]	C. W. Reynolds, Flocks, herds and schools: A distributed behavioral model, ACM SIGGRAPH Computer Graphics, 21 (1987), 25–34.
[25]	R. Shu and E. Tadmor, Anticipation breeds alignment. doi: 10.1007/s00205-021-01609-8.
[26]	R. Shu and E. Tadmor, Flocking hydrodynamics with external potentials. doi: 10.1007/s00205-020-01544-0.
[27]	R. Shvydkoy, Dynamics and analysis of alignment models of collective behavior., Available at: https://shvydkoy.people.uic.edu/alignment.pdf.
[28]	R. Shvydkoy and E. Tadmor, Multi-flocks: Emergent dynamics in systems with multi-scale collective behavior, preprint.
[29]	R. Shvydkoy and E. Tadmor, Topologically-based fractional diffusion and emergent dynamics with short-range interactions, to appear in SIMA. doi: 10.1137/19M1292412.
[30]	R. Shvydkoy and E. Tadmor, Eulerian dynamics with a commutator forcing, Transactions of Mathematics and Its Applications, 1 (2017). doi: 10.1093/imatrm/tnx001.
[31]	L. Simon, Asymptotics for a class of nonlinear evolution equations, with applications to geometric problems, Ann. of Math. (2), 118 (1983), 525-571. doi: 10.2307/2006981.