English

On the Whitney distortion extension problem for $C^m(\mathbb R^n)$ and $C^{\infty}(\mathbb R^n)$ and its applications to interpolation and alignment of data in $\mathbb R^n$

Classical Analysis and ODEs 2024-02-27 v6

Abstract

In this announcement we consider the following problem. Let n,m1n,m\geq 1, URnU\subset\mathbb R^n open. In this paper we provide a sharp solution to the following Whitney distortion extension problems: (a) Let ϕ:URn\phi:U\to \mathbb R^n be a CmC^m map. If EUE\subset U is compact (with some geometry) and the restriction of ϕ\phi to EE is an almost isometry with small distortion, how to decide when there exists a Cm(Rn)C^m(\mathbb R^n) one-to-one and onto almost isometry Φ:RnRn\Phi:\mathbb R^n\to \mathbb R^n with small distortion which agrees with ϕ\phi in a neighborhood of EE and a Euclidean motion A:RnRnA:\mathbb R^n\to \mathbb R^n away from EE. (b) Let ϕ:URn\phi:U\to \mathbb R^n be CC^{\infty} map. If EUE\subset U is compact (with some geometry) and the restriction of ϕ\phi to EE is an almost isometry with small distortion, how to decide when there exists a C(Rn)C^{\infty}(\mathbb R^n) one-to-one and onto almost isometry Φ:RnRn\Phi:\mathbb R^n\to \mathbb R^n with small distortion which agrees with ϕ\phi in a neighborhood of EE and a Euclidean motion A:RnRnA:\mathbb R^n\to \mathbb R^n away from EE. Our results complement those of [14,15,20] where there, EE is a finite set. In this case, the problem above is also a problem of interpolation and alignment of data in Rn\mathbb R^n. The material in this paper appears in the memoir [14].

Keywords

Cite

@article{arxiv.1505.06950,
  title  = {On the Whitney distortion extension problem for $C^m(\mathbb R^n)$ and $C^{\infty}(\mathbb R^n)$ and its applications to interpolation and alignment of data in $\mathbb R^n$},
  author = {S. B Damelin and C. Fefferman},
  journal= {arXiv preprint arXiv:1505.06950},
  year   = {2024}
}

Comments

The material for this paper appears in the research memoir: S. B. Damelin, Near extensions and Alignment of data in $\mathbb R^n$: Whitney extensions of smooth near isometries, shortest paths, equidistribution, clustering and non-rigid alignment of data in Euclidean space, John Wiley & Sons, November 2023. arXiv admin note: substantial text overlap with arXiv:1411.2468