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In linear algebra, a column vector is an m × 1 matrix, i.e. a matrix consisting of a single column of Failed to parse (Missing texvc executable; please see math/README to configure.): m
elements.
- Failed to parse (Missing texvc executable; please see math/README to configure.): \mathbf{x} = \begin{bmatrix} x_1 \\ x_2 \\ \vdots \\ x_m \end{bmatrix}
The transpose of a column vector is a row vector and vice versa.
The set of all column vectors forms a vector space which is the dual space to the set of all row vectors.
Notation
To simplify writing column vectors in-line with other text, sometimes they are written as row vectors with the transpose operation applied to them.
- Failed to parse (Missing texvc executable; please see math/README to configure.): \mathbf{x} = \begin{bmatrix} x_1 \; x_2 \; \dots \; x_m \end{bmatrix}^{\rm T}
- or
- Failed to parse (Missing texvc executable; please see math/README to configure.): \mathbf{x} = \begin{bmatrix} x_1, x_2, \dots, x_m \end{bmatrix}^{\rm T}
For further simplification, some authors also use the convention of writing both column vectors and row vectors as rows but separating row vector elements with spaces and column vector elements with commas. For example, if x is a row vector, then x and xT might be denoted as follows:
- Failed to parse (Missing texvc executable; please see math/README to configure.): \mathbf{x} = \begin{bmatrix} x_1 \; x_2 \; \dots \; x_m \end{bmatrix} \qquad \mathbf{x}^{\rm T} = \begin{bmatrix} x_1, x_2, \dots, x_m \end{bmatrix}
However, in other contexts, a conflicting simplified notation is used:
- Failed to parse (Missing texvc executable; please see math/README to configure.): \mathbf{x} = \begin{bmatrix} x_1, x_2, \dots, x_m \end{bmatrix} \qquad \mathbf{x}^{\rm T} = \begin{bmatrix} x_1; x_2; \dots; x_m \end{bmatrix}
Operations
fr:Vecteur colonne pt:Vetor coluna
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