Definition:Vector/Linear Algebra
Definition
Let $V = \struct {G, +_G, \circ}_K$ be a vector space over $K$, where:
- $\struct {G, +_G}$ is an abelian group
- $\struct {K, +_K, \times_K}$ is the scalar field of $V$.
The elements of the abelian group $\struct {G, +_G}$ are called vectors.
Vector Notation
Several conventions are found in the literature for annotating a general vector quantity in a style that distinguishes it from a scalar quantity, as follows.
Let $\set {x_1, x_2, \ldots, x_n}$ be a collection of scalars which form the components of an $n$-dimensional vector.
The vector $\tuple {x_1, x_2, \ldots, x_n}$ can be annotated as:
\(\ds \bsx\) | \(=\) | \(\ds \tuple {x_1, x_2, \ldots, x_n}\) | ||||||||||||
\(\ds \vec x\) | \(=\) | \(\ds \tuple {x_1, x_2, \ldots, x_n}\) | ||||||||||||
\(\ds \hat x\) | \(=\) | \(\ds \tuple {x_1, x_2, \ldots, x_n}\) | ||||||||||||
\(\ds \underline x\) | \(=\) | \(\ds \tuple {x_1, x_2, \ldots, x_n}\) | ||||||||||||
\(\ds \tilde x\) | \(=\) | \(\ds \tuple {x_1, x_2, \ldots, x_n}\) |
To emphasize the arrow interpretation of a vector, we can write:
- $\bsv = \sqbrk {x_1, x_2, \ldots, x_n}$
or:
- $\bsv = \sequence {x_1, x_2, \ldots, x_n}$
In printed material the boldface $\bsx$ or $\mathbf x$ is common. This is the style encouraged and endorsed by $\mathsf{Pr} \infty \mathsf{fWiki}$.
However, for handwritten material (where boldface is difficult to render) it is usual to use the underline version $\underline x$.
Also found in handwritten work are the tilde version $\tilde x$ and arrow version $\vec x$, but as these are more intricate than the simple underline (and therefore more time-consuming and tedious to write), they will only usually be found in fair copy.
It is also noted that the tilde over $\tilde x$ does not render well in MathJax under all browsers, and differs little visually from an overline: $\overline x$.
The hat version $\hat x$ usually has a more specialized meaning, namely to symbolize a unit vector.
In computer-rendered materials, the arrow version $\vec x$ is popular, as it is descriptive and relatively unambiguous, and in $\LaTeX$ it is straightforward.
However, it does not render well in all browsers, and is therefore (reluctantly) not recommended for use on this website.
Also see
- Results about vectors can be found here.
Sources
- 1961: I.M. Gel'fand: Lectures on Linear Algebra (2nd ed.) ... (previous) ... (next): $\S 1$: $n$-Dimensional vector spaces
- 1965: Seth Warner: Modern Algebra ... (previous) ... (next): Chapter $\text {V}$: Vector Spaces: $\S 26$. Vector Spaces and Modules
- 1969: C.R.J. Clapham: Introduction to Abstract Algebra ... (previous) ... (next): Chapter $7$: Vector Spaces: $\S 32$. Definition of a Vector Space
- 1989: Ephraim J. Borowski and Jonathan M. Borwein: Dictionary of Mathematics ... (previous) ... (next): vector space
- 1992: George F. Simmons: Calculus Gems ... (previous) ... (next): Chapter $\text {B}.26$: Extensions of the Complex Number System. Algebras, Quaternions, and Lagrange's Four Squares Theorem
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): vector
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): vector