Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples

Vectors are almost always introduced as objects having magnitude and direction. Following that idea, textbooks and courses introduce the concept of a vector norm and the angle between two vectors. While this is correct and useful for vectors in two- or three-dimensional Euclidean space, these concep...

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Main Author: Reinout Heijungs
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Foundations
Subjects:
Online Access:https://www.mdpi.com/2673-9321/5/2/12
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author Reinout Heijungs
author_facet Reinout Heijungs
author_sort Reinout Heijungs
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description Vectors are almost always introduced as objects having magnitude and direction. Following that idea, textbooks and courses introduce the concept of a vector norm and the angle between two vectors. While this is correct and useful for vectors in two- or three-dimensional Euclidean space, these concepts make no sense for more general vectors, that are defined in abstract, non-metric vector spaces. This is even the case when an inner product exists. Here, we analyze how several textbooks are imprecise in presenting the restricted validity of the expressions for the norm and the angle. We also study one concrete example, the so-called ‘vector-based sustainability analytics’, in which scientists have gone astray by mistaking an abstract vector for a Euclidean vector. We recommend that future textbook authors introduce the distinction between vectors that have and that do not have magnitude and direction, even in cases where an inner product exists.
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spelling doaj-art-1222865d033a49c384b23a620b663fc52025-08-20T03:27:17ZengMDPI AGFoundations2673-93212025-04-01521210.3390/foundations5020012Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract TuplesReinout Heijungs0Department of Operations Analytics, Vrije Universiteit Amsterdam, 1081HV Amsterdam, The NetherlandsVectors are almost always introduced as objects having magnitude and direction. Following that idea, textbooks and courses introduce the concept of a vector norm and the angle between two vectors. While this is correct and useful for vectors in two- or three-dimensional Euclidean space, these concepts make no sense for more general vectors, that are defined in abstract, non-metric vector spaces. This is even the case when an inner product exists. Here, we analyze how several textbooks are imprecise in presenting the restricted validity of the expressions for the norm and the angle. We also study one concrete example, the so-called ‘vector-based sustainability analytics’, in which scientists have gone astray by mistaking an abstract vector for a Euclidean vector. We recommend that future textbook authors introduce the distinction between vectors that have and that do not have magnitude and direction, even in cases where an inner product exists.https://www.mdpi.com/2673-9321/5/2/12vectorEuclidean normmagnitudedirectionangleinner product
spellingShingle Reinout Heijungs
Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
Foundations
vector
Euclidean norm
magnitude
direction
angle
inner product
title Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
title_full Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
title_fullStr Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
title_full_unstemmed Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
title_short Revisiting the Definition of Vectors—From ‘Magnitude and Direction’ to Abstract Tuples
title_sort revisiting the definition of vectors from magnitude and direction to abstract tuples
topic vector
Euclidean norm
magnitude
direction
angle
inner product
url https://www.mdpi.com/2673-9321/5/2/12
work_keys_str_mv AT reinoutheijungs revisitingthedefinitionofvectorsfrommagnitudeanddirectiontoabstracttuples