2009
DOI: 10.1016/j.anihpc.2008.12.004
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Strichartz estimates for the wave equation on manifolds with boundary

Abstract: We prove certain mixed-norm Strichartz estimates on manifolds with boundary. Using them we are able to prove new results for the critical and subcritical wave equation in 4-dimensions with Dirichlet or Neumann boundary conditions. We obtain global existence in the subcricital case, as well as global existence for the critical equation with small data. We also can use our Strichartz estimates to prove scattering results for the critical wave equation with Dirichlet boundary conditions in 3-dimensions.Comment: 1… Show more

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Cited by 101 publications
(333 citation statements)
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“…See for examples [21,26,32]. Strichartz estimates also are considered on compact manifold with boundary, see [6], [2] and references therein. When we consider the noncompact manifold with nontrapping condition, one can obtain global-in-time Strichartz estimates.…”
Section: Introduction and Statement Of Main Resultsmentioning
confidence: 99%
“…See for examples [21,26,32]. Strichartz estimates also are considered on compact manifold with boundary, see [6], [2] and references therein. When we consider the noncompact manifold with nontrapping condition, one can obtain global-in-time Strichartz estimates.…”
Section: Introduction and Statement Of Main Resultsmentioning
confidence: 99%
“…The restrictions on the indices in [1] are naturally imposed by the local nature of the paramerix construction in [19]. In dimension d ≥ 3 the result is certainly not optimal (Lebeau's applications give larger sets of admissible indices), and this is a consequence of the fact that in higher dimensions the approach in [1] does not allow to describe the dispersion effect in the d − 2 tangential variables.…”
Section: Strichartz Estimatesmentioning
confidence: 99%
“…The main observation in [1] is that one can construct parametrices over large time intervals when moving to directions which are not tangential to ∂Ω. Precisely, for directions of angle θ one can construct a parametrix on intervals of time of size θ, yielding to a θ-depending loss in the Strichartz estimates.…”
Section: Strichartz Estimatesmentioning
confidence: 99%
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