An Approximation Scheme for Schrödinger Maps
By H. McGahagan. 2007
100 citations recorded by the source corpus.
Subfields: Control and Systems Engineering, Mathematical Physics, Numerical Analysis
View Paper: https://www.semanticscholar.org/paper/c1fbf457f62fa04778d87c4119e1953b3bd2d5aa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Control and Systems Engineering
- Carlos E. Kenig
- A. Ionescu
- Igor Rodnianski
- I. Bejenaru
- Gigliola Staffilani
- D. Tataru
- Yanir A. Rubinstein
- Terence Tao
In Mathematical Physics
- Carlos E. Kenig
- A. Ionescu
- D. Tataru
- Gigliola Staffilani
- Terence Tao
- Igor Rodnianski
- I. Bejenaru
- Zihua Guo
In Numerical Analysis
Citations in the corpus
- On Schrödinger maps (2008, methodology): “For the corresponding equation in the case of compact Kähler manifolds smooth solutions were constructed by Ding and Wang, see [5], and, more recently, McGahagan obtained the best result up to date, see [13].”
- Low-regularity Schrödinger maps, II: global well-posedness in dimensions d ≥ 3 (2007, background): “It is known that sufficiently smooth solutions exist locally in time, even for large data (see, for example, [19], [2], [3], [13], [9] and the references therein).”
- On the global well-posedness of the one-dimensional Schrodinger map flow (2008, background): “Theorem 1.1. (See [DW2, M2 ].) Let (M m , g) be a complete Riemannian manifold”
- Global Schrödinger maps in dimensions $d≥ 2$: Small data in the critical Sobolev spaces (2011, background): “Our starting point is the local existence and uniqueness of smooth solutions of the Schrödinger map equation (see, for example, [32]): if φ0 ∈ H∞ Q , then there is T = T (‖φ0‖H2d+20 Q ) > 0 and a unique solution φ ∈ C((−T, T ) : H ∞ Q ) of the initial value problem (1.”
- Global existence and uniqueness of Schrödinger maps in dimensions d... 4 (2007, background): “It is known that sufficiently smooth solutions exist locally in time, even for large data (see, for example, [3,5,16,22] and the references therein).”