2010
DOI: 10.1016/j.jmaa.2009.07.034
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Asymptotic behaviour for small mass in the two-dimensional parabolic–elliptic Keller–Segel model

Abstract: The Keller-Segel system describes the collective motion of cells that are attracted by a chemical substance and are able to emit it. In its simplest form, it is a conservative drift-diffusion equation for the cell density coupled to an elliptic equation for the chemoattractant concentration. This paper deals with the rate of convergence towards a unique stationary state in self-similar variables, which describes the intermediate asymptotics of the solutions in the original variables. Although it is known that … Show more

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Cited by 36 publications
(52 citation statements)
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“…In Section 3.3, we prove that when the mass is sufficiently small, every solution to (1.1) with compactly supported initial data converges to the self-similar dissipating solution. We mention that for the PKS equation in 2D with linear diffusion, similar results for small-mass solutions are obtained by [11], and recently the small-mass assumption is removed by [15], where they prove that all solutions with subcritical mass converge to the self-similar solution with exponential rate after proper rescaling. Both of these results are based on a spectral gap method, hence cannot be generalized to (1.1) due to the nonlinear diffusion term.…”
Section: Introductionsupporting
confidence: 69%
“…In Section 3.3, we prove that when the mass is sufficiently small, every solution to (1.1) with compactly supported initial data converges to the self-similar dissipating solution. We mention that for the PKS equation in 2D with linear diffusion, similar results for small-mass solutions are obtained by [11], and recently the small-mass assumption is removed by [15], where they prove that all solutions with subcritical mass converge to the self-similar solution with exponential rate after proper rescaling. Both of these results are based on a spectral gap method, hence cannot be generalized to (1.1) due to the nonlinear diffusion term.…”
Section: Introductionsupporting
confidence: 69%
“…Theorem 1.5 drastically improves some anterior results which establish the same exponential rate of convergence for some particular class of initial data. On the one hand, for a radially symmetric initial datum with finite second moment it has been proved in [15 [7,16] for previous results in that direction) for any initial datum f 0 with mass M ∈ (0, 8π) and which satisfies (roughly speaking) the strong confinement condition f 0 ≤G for some self-similar profileG associated to some massM ∈ [M, 8π). In that last work [17], the uniform exponential stability (with optimal rate) of the linearized rescaled equation is established in L 2 (G −1/2 ) by the mean of the analysis of the associated linear operator in a well chosen (equivalent) Hilbert norm.…”
Section: 7)mentioning
confidence: 99%
“…Proof. This result can be proved directly by applying the Method of Trap in [4]. So we omit the details.…”
Section: 21mentioning
confidence: 86%