Morse Theory for the k-NN Distance Function.

IF 0.7 3区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Discrete & Computational Geometry Pub Date : 2026-01-01 Epub Date: 2025-11-19 DOI:10.1007/s00454-025-00795-6
Yohai Reani, Omer Bobrowski
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引用次数: 0

Abstract

We study the k-th nearest neighbor distance function from a finite point-set in R d . We provide a Morse theoretic framework to analyze the sub-level set topology. In particular, we present a simple combinatorial-geometric characterization for critical points and their indices, along with detailed information about the possible changes in homology at the critical levels. We conclude by computing the expected number of critical points for a homogeneous Poisson process. Our results deliver significant insights and tools for the analysis of persistent homology in order-k Delaunay mosaics, and random k-fold coverage.

Abstract Image

Abstract Image

Abstract Image

k-NN距离函数的Morse理论。
研究了R d中有限点集的第k个最近邻距离函数。我们提供了一个莫尔斯理论框架来分析子水平集拓扑。特别地,我们给出了临界点及其指数的简单组合几何表征,以及在临界水平上可能发生的同调变化的详细信息。我们通过计算齐次泊松过程的临界点的期望数目来得出结论。我们的研究结果为order-k Delaunay马赛克和随机k-fold覆盖的持续同源性分析提供了重要的见解和工具。
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来源期刊
Discrete & Computational Geometry
Discrete & Computational Geometry 数学-计算机:理论方法
CiteScore
1.80
自引率
12.50%
发文量
99
审稿时长
6-12 weeks
期刊介绍: Discrete & Computational Geometry (DCG) is an international journal of mathematics and computer science, covering a broad range of topics in which geometry plays a fundamental role. It publishes papers on such topics as configurations and arrangements, spatial subdivision, packing, covering, and tiling, geometric complexity, polytopes, point location, geometric probability, geometric range searching, combinatorial and computational topology, probabilistic techniques in computational geometry, geometric graphs, geometry of numbers, and motion planning.
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