2011
DOI: 10.2140/apde.2011.4.1
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Strichartz estimates on asymptotically hyperbolic manifolds

Abstract: We prove local in time Strichartz estimates without loss for the restriction of the solution of the Schrödinger equation, outside a large compact set, on a class of asymptotically hyperbolic manifolds.

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Cited by 30 publications
(39 citation statements)
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“…We also derive certain weighted L p → L p boundedness properties of such operators. Further applications to Littlewood-Paley decompositions [5] and Strichartz estimates [4] will be published separately. Needless to say, the range of applications of the present functional calculus goes beyond Strichartz estimates; there are many problems which naturally involve spectral cutoffs at high frequencies in linear and non linear PDEs (LittlewoodPaley decompositions, paraproducts) or in spectral theory (trace formulas).…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…We also derive certain weighted L p → L p boundedness properties of such operators. Further applications to Littlewood-Paley decompositions [5] and Strichartz estimates [4] will be published separately. Needless to say, the range of applications of the present functional calculus goes beyond Strichartz estimates; there are many problems which naturally involve spectral cutoffs at high frequencies in linear and non linear PDEs (LittlewoodPaley decompositions, paraproducts) or in spectral theory (trace formulas).…”
Section: Introduction and Resultsmentioning
confidence: 99%
“…These are obtained by a direct self-contained argument. We remark however that the results of Bouclet [Bou2] give stronger estimates which could be used in case no-loss estimates are obtained in the compact part.…”
Section: Introductionmentioning
confidence: 85%
“…We next consider Strichartz estimates, which is the main original motivation of this paper. The related results will appear in a forthcoming paper [7] but we explain below why Theorems 1.1 and 1.2 are relevant to handle the contribution of low frequencies. In particular, we will see where using the weight r −1 is crucial.…”
Section: )mentioning
confidence: 96%