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The distance function to a finite set is a topological Morse function

Charles Arnal

TL;DR

The paper proves that the distance function to any finite set $X\subset \mathbb{R}^n$, denoted $d_X$, is a topological Morse function without requiring general position. It precisely characterizes topological critical points: points in $X$ are critical of index $0$, while non-$X$ points with $z\in \mathrm{Conv}(\Pi_X(z))$ are regular if a separating vector exists in $\mathrm{Span}(\Pi_X(z)-z)$, and are critical of index $\dim(\mathrm{Span}(\Pi_X(z)-z))$ otherwise; all other points are regular. The results reveal that topological critical points form a subset of the differential critical points, and the authors provide constructive local normal forms via homeomorphisms and Morse-type reasoning to establish non-degeneracy. This advances topological data analysis by giving robust, position-agnostic Morse structure to $d_X$ for finite point clouds, with potential extensions to Morse-type function frameworks.

Abstract

In this short note, we show that the distance function to any finite set $X\subset \mathbb{R}^n$ is a topological Morse function, regardless of whether $X$ is in general position. We also precisely characterize its topological critical points and their indices, and relate them to the differential critical points of the function.

The distance function to a finite set is a topological Morse function

TL;DR

The paper proves that the distance function to any finite set , denoted , is a topological Morse function without requiring general position. It precisely characterizes topological critical points: points in are critical of index , while non- points with are regular if a separating vector exists in , and are critical of index otherwise; all other points are regular. The results reveal that topological critical points form a subset of the differential critical points, and the authors provide constructive local normal forms via homeomorphisms and Morse-type reasoning to establish non-degeneracy. This advances topological data analysis by giving robust, position-agnostic Morse structure to for finite point clouds, with potential extensions to Morse-type function frameworks.

Abstract

In this short note, we show that the distance function to any finite set is a topological Morse function, regardless of whether is in general position. We also precisely characterize its topological critical points and their indices, and relate them to the differential critical points of the function.
Paper Structure (2 sections, 5 theorems, 27 equations, 2 figures)

This paper contains 2 sections, 5 theorems, 27 equations, 2 figures.

Key Result

Theorem 1.2

Let $X\subset {\mathbb R}^n$ be a finite set. Then $d_X:{\mathbb R}^n \rightarrow {\mathbb R}$ is a topological Morse function. Furthermore,

Figures (2)

  • Figure 1: The level sets of the distance function to three sets of points are represented. From left to right, the central point is a non-degenerate topological critical point of index $1$, a topological regular point and a non-degenerate topological critical point of index $2$ respectively.
  • Figure 2: Three level sets of the distance function to the set $X=\{x_1,\ldots,x_4\}$ and the points $P$, $p$ and $\pi(p)$ as defined in the proof of \ref{['prop:regular_points']}.

Theorems & Definitions (11)

  • Definition 1.1: Topological Morse functions morse_topologically_1959
  • Theorem 1.2
  • Proposition 2.1
  • proof
  • Proposition 2.2
  • proof
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • ...and 1 more