2005
DOI: 10.1142/s0219891605000361
|View full text |Cite
|
Sign up to set email alerts
|

Inhomogeneous Strichartz Estimates

Abstract: We look for the optimal range of Lebesque exponents for which inhomogeneous Strichartz estimates are valid. It is known that this range is larger than the one given by admissible exponents for homogeneous estimates. We prove inhomogeneous estimates in this larger range adopting the abstract setting and interpolation techniques already used by Keel and Tao for the endpoint case of the homogeneous estimates. Applications to Schrödinger equations are given, which extend previous work by Kato.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

3
195
0

Year Published

2008
2008
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 198 publications
(198 citation statements)
references
References 12 publications
3
195
0
Order By: Relevance
“…Finally, we mention that Foschi's estimates [6] also hold for the wave equation. One can then prove the analogue of the Perturbation Theorem for (NLS), for (NLW) and all its corollaries.…”
Section: The Hypothesis Is Verified On Imentioning
confidence: 80%
“…Finally, we mention that Foschi's estimates [6] also hold for the wave equation. One can then prove the analogue of the Perturbation Theorem for (NLS), for (NLW) and all its corollaries.…”
Section: The Hypothesis Is Verified On Imentioning
confidence: 80%
“…On the other hand, suppose that t 1 n → +∞. Then we can similarly argue that for n large, e it∆ u c (t n ) S(Ḣ 1/2 ;(−∞,0]) ≤ 1 2 δ sd , refined Strichartz estimates by Foschi [8] are sufficient to complete the long term perturbation argument 15 .…”
mentioning
confidence: 82%
“…It was shown in [3] that n − 2 r − 2 q ≤ n r and n − 2 r − 2 q ≤ n r (3.1) are the necessary conditions for which the inhomogeneous estimate…”
Section: Necessary Conditionsmentioning
confidence: 99%
“…(We refer the reader to [3,13,8] for other necessary conditions.) Compared with (3.1), we give here the following new necessary condition:…”
Section: Necessary Conditionsmentioning
confidence: 99%