2021
DOI: 10.1007/s00032-021-00341-y
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Functional Inequalities: Nonlinear Flows and Entropy Methods as a Tool for Obtaining Sharp and Constructive Results

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Cited by 9 publications
(7 citation statements)
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“…In the range of parameters under consideration, inequality (32) does not hold for any function f ∈ C ∞ c ( N ), due to scaling arguments. This is very different from the case, 1 > m(p −1) > 1−(p −1)/N , where (32) is equivalent to a class of Gagliardo-Nirenberg-Sobolev inequalities, see [3,15,36,29]. However, when v(τ) is close enough to B, then (32) holds.…”
Section: Long-term Asymptotic Behaviour Of Solutions To Dnlementioning
confidence: 96%
“…In the range of parameters under consideration, inequality (32) does not hold for any function f ∈ C ∞ c ( N ), due to scaling arguments. This is very different from the case, 1 > m(p −1) > 1−(p −1)/N , where (32) is equivalent to a class of Gagliardo-Nirenberg-Sobolev inequalities, see [3,15,36,29]. However, when v(τ) is close enough to B, then (32) holds.…”
Section: Long-term Asymptotic Behaviour Of Solutions To Dnlementioning
confidence: 96%
“…The study of (3) is motivated by rigidity and symmetry breaking results associated with interpolation inequalities on the unit sphere S d in one and higher dimensions, that is, d ≥ 1. If p = 2, a precise description of the threshold value of λ is known in the framework of Markov processes if q is not too large (see [3] for an overview with historical references that go back to [2]) and from [5,11,14,15,16,17,13] using entropy methods applied to nonlinear elliptic and parabolic equations; also see [12] for an overview and extensions to various related variational problems.…”
Section: Introductionmentioning
confidence: 99%
“…The study of (3) is motivated by rigidity and symmetry breaking results associated with interpolation inequalities on the unit sphere S d in one and higher dimensions, that is, d ≥ 1. If p = 2, a precise description of the threshold value of λ is known in the framework of Markov processes if q is not too large (see [3] for an overview with historical references that go back to [2]) and from [5,11,14,15,16,17,13] using entropy methods applied to nonlinear elliptic and parabolic equations; also see [12] for an overview and extensions to various related variational problems.…”
Section: Introductionmentioning
confidence: 99%