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Modulated free energy and mean field limit

Didier Bresch, Pierre‐Emmanuel Jabin, Zhenfu Wang

2020Séminaire Laurent Schwartz — EDP et applications19 citationsDOIOpen Access PDF

Abstract

This is the document corresponding to the talk the first author gave at IHÉS for the Laurent Schwartz seminar on November 19, 2019. It concerns our recent introduction of a modulated free energy in mean-field theory in [4]. This physical object may be seen as a combination of the modulated potential energy introduced by S. Serfaty [See Proc. Int. Cong. Math. (2018)] and of the relative entropy introduced in mean field limit theory by P.–E. Jabin, Z. Wang [See Inventiones 2018]. It allows to obtain, for the first time, a convergence rate in the mean field limit for Riesz and Coulomb repulsive kernels in the presence of viscosity using the estimates in [8] and [20]. The main objective in this paper is to explain how it is possible to cover more general repulsive kernels through a Fourier transform approach as announced in [4] first in the case <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>σ</mml:mi> <mml:mi>N</mml:mi> </mml:msub> <mml:mo>→</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> when <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>N</mml:mi> <mml:mo>→</mml:mo> <mml:mo>+</mml:mo> <mml:mi>∞</mml:mi> </mml:mrow> </mml:math> and then if <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>σ</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> is fixed. Then we end the paper with comments on the particle approximation of the Patlak-Keller-Segel system which is associated to an attractive kernel and refer to [ C.R. Acad Science Paris 357, Issue 9, (2019), 708–720] by the authors for more details.

Topics & Concepts

Cover (algebra)MathematicsMean field theoryLimit (mathematics)Fourier transformCoulombField (mathematics)Statistical physicsPhysicsQuantum mechanicsMathematical analysisPure mathematicsElectronEngineeringMechanical engineeringStochastic processes and statistical mechanicsStochastic processes and financial applicationsMathematical Biology Tumor Growth
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