2017
DOI: 10.1007/s12220-017-9870-8
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Stability of Trace Theorems on the Sphere

Abstract: We prove stable versions of trace theorems on the sphere in L 2 with optimal constants, thus obtaining rather precise information regarding near-extremisers. We also obtain stability for the trace theorem into L q for q > 2, by combining a refined Hardy-Littlewood-Sobolev inequality on the sphere with a duality-stability result proved very recently by Carlen. Finally, we extend a local version of Carlen's duality theorem to establish local stability of certain Strichartz estimates for the kinetic transport equ… Show more

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Cited by 6 publications
(5 citation statements)
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“…By Lemma 3.8 of [27], we obtain the existence of ðg k Þ k ! 1 & C 1 0 ðR þ Þ such that the quantity in (36) is equal to 1 for all k and the quantity in (37) converges to 4 n 2 as k ! 1.…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…By Lemma 3.8 of [27], we obtain the existence of ðg k Þ k ! 1 & C 1 0 ðR þ Þ such that the quantity in (36) is equal to 1 for all k and the quantity in (37) converges to 4 n 2 as k ! 1.…”
Section: Proof Of Theoremmentioning
confidence: 99%
“…Sometimes the improved versions of different inequalities, or remainder estimates, are called stability of the inequality if the estimates depend on certain distances: see, e.g., [BJOS16] for stability of trace theorems, [CFW13] for stability of Sobolev inequalities, etc.…”
Section: Moreovermentioning
confidence: 99%
“…When (d, β + , β − ) = (2, 1 4 , 1 4 ) we have C = 4π and the function M is identically equal to 1 [0,1] ; hence extremisers exist. To give an identification of the class of extremisers, note that (7.5) holds if and only if T = F −1 m ρf is a bounded operator L 2 → L 2 , with m(ξ, τ ) = (|ξ| 2 − |τ | 2 ) 1/4 , and one can show that the class of extremisers for T coincides with the image under T * of the class of extremisers for the dual inequality T * : L 2 → L 2 (see, for example, [5]). By (4.1) it follows that g is an extremiser for T * if and only if g is an extremiser for the multiplier estimate F −1 (m −1 g) 2 2 ≤ g 2 2 .…”
Section: Symmetric Datamentioning
confidence: 99%