Duality Between Lines and Points

In Computational Geometry, 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. There is a common generalisation of all these notions. Most interesting properties of various notions of duality are also valid for this generalisation. However, there are two properties, which cannot simultaneously be true. It is also shown that either dual mapping can be its own inverse or it can preserve relative order (but not both). Generalisation of notion of duality to higher dimensions is also discussed. An elementary and very intuitive treatment of relationship between arrangements (in Computational Geometry) in d+1 dimensions and searching for k-nearest neighbour in d-dimensions is also given.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2025-08-21
DOI
https://doi.org/10.7759/s44389-025-03728-9
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
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article

Duality Between Lines and Points

Sanjeev Saxena
Cureus Journal of Computer Science.
Computational Geometry and Mesh Generation
article

Duality Between Lines and Points

Sanjeev Saxena
article en

Abstract

In Computational Geometry, 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. There is a common generalisation of all these notions. Most interesting properties of various notions of duality are also valid for this generalisation. However, there are two properties, which cannot simultaneously be true. It is also shown that either dual mapping can be its own inverse or it can preserve relative order (but not both). Generalisation of notion of duality to higher dimensions is also discussed. An elementary and very intuitive treatment of relationship between arrangements (in Computational Geometry) in d+1 dimensions and searching for k-nearest neighbour in d-dimensions is also given.

Cureus Journal of Computer Science.
Openalex Percentile: Top 62%
Computational Geometry and Mesh Generation
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