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S. B Damelin

Publications and source records attributed to S. B Damelin.

2 recordsLinked to original sources

On the Whitney Extension-Interpolation-Alignment problem for almost isometries with small distortion in $\Bbb R^D$

In this paper, we study the following problem. Let $D\geq 2$, $S\subset \mathbb R^D$ be finite and let $ϕ:S\to \mathbb R^D$ with $ϕ$ a small distortion on $S$. We solve the Whitney extension-interpolation-alignment problem of how to understand when $ϕ$ can be extended to a function $Φ:\mathbb R^D\to \mathbb R^D$ which is a smooth small distortion on $\mathbb R^D$. The work in this paper appears in the research memoir [14]

math.MG

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 $\mathbb R^n$

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

math.CA