4: Vectors in Space, n-Vectors
( \newcommand{\kernel}{\mathrm{null}\,}\)
To continue our linear algebra journey, we must discuss n-vectors with an arbitrarily large number of components. The simplest way to think about these is as ordered lists of numbers,
a=(a1⋮an).
Do not be confused by our use of a superscript to label components of a vector. Here a2 denotes the second component of the vector a, rather than the number a squared! We emphasize that order matters:
(7425)≠(7245).
The set of all n-vectors is denoted Rn. As an equation
Rn:={(a1⋮ an)|a1,…,an∈R}.
- 4.1: Addition and Scalar Multiplication in Rⁿ
- A simple but important property of n-vectors is that we can add n-vectors and multiply n-vectors by a scalar.
Thumbnail: The volume of this parallelepiped is the absolute value of the determinant of the 3-by-3 matrix formed by the vectors r1, r2, and r3. (CC BY-SA 3.0; Claudio Rocchini)
Contributor
David Cherney, Tom Denton, and Andrew Waldron (UC Davis)