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Functional inequalities, thick tails and asymptotics for the critical mass Patlak-Keller-Segel model

2010/09/01 by Blanchet, Adrien, Carlen, Eric, Carrillo, José Antonio · 2 citations
#15A45 #49M20 #Analysis of PDEs (math.AP) #FOS: Mathematics

paper · doi:10.48550/arxiv.1009.0134

Abstract

We investigate the long time behavior of the critical mass Patlak-Keller-Segel equation. This equation has a one parameter family of steady-state solutions ρλ, λ>0, with thick tails whose second moment is not bounded. We show that these steady state solutions are stable, and find basins of attraction for them using an entropy functional \mathcal Hλ coming from the critical fast diffusion equation in \R2. We construct solutions of Patlak-Keller-Segel equation satisfying an entropy-entropy dissipation inequality for \mathcal Hλ. While the entropy dissipation for \mathcal Hλ is strictly positive, it turns out to be a difference of two terms, neither of which need to be small when the dissipation is small. We introduce a strategy of "controlled concentration" to deal with this issue, and then use the regularity obtained from the entropy-entropy dissipation inequality to prove the existence of basins of attraction for each stationary state composed by certain initial data converging towards ρλ. In the present paper, we do not provide any estimate of the rate of convergence, but we discuss how this would result from a stability result for a certain sharp Gagliardo-Nirenberg-Sobolev inequality.

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