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Euclidean vector

In mathematics, physics, and engineering, a Euclidean vector or simply a vector (sometimes called a geometric vector[1] or spatial vector[2]) is a geometric object that has magnitude (or length) and direction. Euclidean vectors can be added and scaled to form a vector space. A Euclidean vector is frequently represented by a directed line segment, or graphically as an arrow connecting an initial point A with a terminal point B,[3] and denoted by

For mathematical vectors in general, see Vector (mathematics and physics). For other uses, see Vector (disambiguation).

A vector is what is needed to "carry" the point A to the point B; the Latin word vector means "carrier".[4] It was first used by 18th century astronomers investigating planetary revolution around the Sun.[5] The magnitude of the vector is the distance between the two points, and the direction refers to the direction of displacement from A to B. Many algebraic operations on real numbers such as addition, subtraction, multiplication, and negation have close analogues for vectors,[6] operations which obey the familiar algebraic laws of commutativity, associativity, and distributivity. These operations and associated laws qualify Euclidean vectors as an example of the more generalized concept of vectors defined simply as elements of a vector space.


Vectors play an important role in physics: the velocity and acceleration of a moving object and the forces acting on it can all be described with vectors.[7] Many other physical quantities can be usefully thought of as vectors. Although most of them do not represent distances (except, for example, position or displacement), their magnitude and direction can still be represented by the length and direction of an arrow. The mathematical representation of a physical vector depends on the coordinate system used to describe it. Other vector-like objects that describe physical quantities and transform in a similar way under changes of the coordinate system include pseudovectors and tensors.[8]

the determinant is unity, |C| = 1;

the inverse is equal to the transpose;

the rows and columns are orthogonal unit vectors, therefore their dot products are zero.

(1967). Calculus. Vol. 1: One-Variable Calculus with an Introduction to Linear Algebra. Wiley. ISBN 978-0-471-00005-1.

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(1969). Calculus. Vol. 2: Multi-Variable Calculus and Linear Algebra with Applications. Wiley. ISBN 978-0-471-00007-5.

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Itô, Kiyosi (1993), Encyclopedic Dictionary of Mathematics (2nd ed.), , ISBN 978-0-262-59020-4.

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"Vector"

Kane, Thomas R.; Levinson, David A. (1996), Dynamics Online, Sunnyvale, California: OnLine Dynamics.

(1986). Introduction to Linear Algebra (2nd ed.). Springer. ISBN 0-387-96205-0.

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(1988). Geometry: A comprehensive course. Dover. ISBN 0-486-65812-0.

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"Vector"

(PDF)

Online vector identities

A conceptual introduction (applied mathematics)

Introducing Vectors