Zero matrix

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In mathematics, particularly linear algebra, a zero matrix is a matrix with all its entries being zero. Some examples of zero matrices are


0_{1,1} = \begin{bmatrix}
0 \end{bmatrix}
,\ 
0_{2,2} = \begin{bmatrix}
0 & 0 \\
0 & 0 \end{bmatrix}
,\ 
0_{2,3} = \begin{bmatrix}
0 & 0 & 0 \\
0 & 0 & 0 \end{bmatrix}
,\

The set of m×n matrices with entries in a ring K forms a ring K_{m,n} \,. The zero matrix 0_{K_{m,n}} \, in K_{m,n} \, is the matrix with all entries equal to 0_K \, , where 0_K \, is the additive identity in K.


0_{K_{m,n}} = \begin{bmatrix}
0_K & 0_K & \cdots & 0_K \\
0_K & 0_K & \cdots & 0_K \\
\vdots & \vdots &  & \vdots \\
0_K & 0_K & \cdots & 0_K \end{bmatrix}_{m \times n}

The zero matrix is the additive identity in K_{m,n} \, . That is, for all A \in K_{m,n} \, it satisfies

0_{K_{m,n}}+A = A + 0_{K_{m,n}} = A

There is exactly one zero matrix of any given size m×n having entries in a given ring, so when the context is clear one often refers to the zero matrix. In general the zero element of a ring is unique and typically denoted as 0 without any subscript indicating the parent ring. Hence the examples above represent zero matrices over any ring.

The zero matrix represents the linear transformation sending all vectors to the zero vector.

See also

This article is from Wikipedia. All text is available under the terms of the GNU Free Documentation License.


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