Duality between Lines and Points

Fuente: arXiv
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Auteur principal: Saxena, Sanjeev
Format: Preprint
Publié: 2025
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author Saxena, Sanjeev
author_facet Saxena, Sanjeev
contents There are several notions of duality between lines and points. In this note, it is shown that all these can be studied in a unified way. Most interesting properties are independent of specific choices. It is also shown that either dual mapping can be its own inverse or it can preserve relative order (but not both). Generalisation to higher dimensions is also discussed. An elementary and very intuitive treatment of relationship between arrangements in $d+1$ dimensions and searching for $k$-nearest neighbour in $d$-dimensions is also given.
format Preprint
id arxiv_https___arxiv_org_abs_2503_17372
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Duality between Lines and Points
Saxena, Sanjeev
Computational Geometry
Data Structures and Algorithms
There are several notions of duality between lines and points. In this note, it is shown that all these can be studied in a unified way. Most interesting properties are independent of specific choices. It is also shown that either dual mapping can be its own inverse or it can preserve relative order (but not both). Generalisation to higher dimensions is also discussed. An elementary and very intuitive treatment of relationship between arrangements in $d+1$ dimensions and searching for $k$-nearest neighbour in $d$-dimensions is also given.
title Duality between Lines and Points
topic Computational Geometry
Data Structures and Algorithms
url https://arxiv.org/abs/2503.17372