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Weighted fast diffusion equations (Part II): Sharp asymptotic rates of convergence in relative error by entropy methods

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Date
2017
Dewey
Analyse
Sujet
Hardy-Poincaré inequalities; free energy; Caffarelli-Kohn-Nirenberg inequalities; weights; optimal functions; best constants; Fast diffusion equation; self-similar solutions; asymptotic behavior; intermediate asymptotics; rate of convergence; entropy methods; symmetry breaking; linearization; spectral gap; Harnack inequality; parabolic regularity
Journal issue
Kinetic & Related Models
Volume
10
Number
1
Publication date
2017
Article pages
61-91
Publisher
American Institute of Mathematical Sciences
DOI
http://dx.doi.org/10.3934/krm.2017003
URI
https://basepub.dauphine.fr/handle/123456789/17059
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  • CEREMADE : Publications
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Author
Bonforte, Matteo
Dolbeault, Jean
Muratori, Matteo
Nazaret, Bruno
Type
Article accepté pour publication ou publié
Abstract (EN)
This paper is the second part of the study. In Part~I, self-similar solutions of a weighted fast diffusion equation (WFD) were related to optimal functions in a family of subcritical Caffarelli-Kohn-Nirenberg inequalities (CKN) applied to radially symmetric functions. For these inequalities, the linear instability (symmetry breaking) of the optimal radial solutions relies on the spectral properties of the linearized evolution operator. Symmetry breaking in (CKN) was also related to large-time asymptotics of (WFD), at formal level. A first purpose of Part~II is to give a rigorous justification of this point, that is, to determine the asymptotic rates of convergence of the solutions to (WFD) in the symmetry range of (CKN) as well as in the symmetry breaking range, and even in regimes beyond the supercritical exponent in (CKN). Global rates of convergence with respect to a free energy (or entropy) functional are also investigated, as well as uniform convergence to self-similar solutions in the strong sense of the relative error. Differences with large-time asymptotics of fast diffusion equations without weights will be emphasized.

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