Single to double mill small noise transition via semi-Lagrangian finite volume methods

We show that double mills are more stable than single mills under stochastic perturbations in swarming dynamic models with basic attraction–repulsion mechanisms. In order to analyse this fact accurately, we will present a numerical technique for solving kinetic mean field equations for swarming dyna...

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Autores principales: Carrillo de la Plata, JA, Klar, A, Roth, A
Formato: Journal article
Lenguaje:English
Publicado: International Press 2016
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author Carrillo de la Plata, JA
Klar, A
Roth, A
author_facet Carrillo de la Plata, JA
Klar, A
Roth, A
author_sort Carrillo de la Plata, JA
collection OXFORD
description We show that double mills are more stable than single mills under stochastic perturbations in swarming dynamic models with basic attraction–repulsion mechanisms. In order to analyse this fact accurately, we will present a numerical technique for solving kinetic mean field equations for swarming dynamics. Numerical solutions of these equations for different sets of parameters will be presented and compared to microscopic and macroscopic results. As a consequence, we numerically observe a phase transition diagram in terms of the stochastic noise going from single to double mill for small stochasticity fading gradually to disordered states when the noise strength gets larger. This bifurcation diagram at the inhomogeneous kinetic level is shown by carefully computing the distribution function in velocity space.
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spelling oxford-uuid:c26fe20d-edcb-4c4c-b81f-40d153a6faba2022-03-27T06:08:54ZSingle to double mill small noise transition via semi-Lagrangian finite volume methodsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c26fe20d-edcb-4c4c-b81f-40d153a6fabaEnglishSymplectic ElementsInternational Press2016Carrillo de la Plata, JAKlar, ARoth, AWe show that double mills are more stable than single mills under stochastic perturbations in swarming dynamic models with basic attraction–repulsion mechanisms. In order to analyse this fact accurately, we will present a numerical technique for solving kinetic mean field equations for swarming dynamics. Numerical solutions of these equations for different sets of parameters will be presented and compared to microscopic and macroscopic results. As a consequence, we numerically observe a phase transition diagram in terms of the stochastic noise going from single to double mill for small stochasticity fading gradually to disordered states when the noise strength gets larger. This bifurcation diagram at the inhomogeneous kinetic level is shown by carefully computing the distribution function in velocity space.
spellingShingle Carrillo de la Plata, JA
Klar, A
Roth, A
Single to double mill small noise transition via semi-Lagrangian finite volume methods
title Single to double mill small noise transition via semi-Lagrangian finite volume methods
title_full Single to double mill small noise transition via semi-Lagrangian finite volume methods
title_fullStr Single to double mill small noise transition via semi-Lagrangian finite volume methods
title_full_unstemmed Single to double mill small noise transition via semi-Lagrangian finite volume methods
title_short Single to double mill small noise transition via semi-Lagrangian finite volume methods
title_sort single to double mill small noise transition via semi lagrangian finite volume methods
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AT klara singletodoublemillsmallnoisetransitionviasemilagrangianfinitevolumemethods
AT rotha singletodoublemillsmallnoisetransitionviasemilagrangianfinitevolumemethods