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

<math>

I_{1,1} = \begin{bmatrix} 0 \end{bmatrix} ,\ I_{2,2} = \begin{bmatrix} 0 & 0 \\ 0 & 0 \end{bmatrix} ,\ I_{2,3} = \begin{bmatrix} 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} ,\ </math>

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

<math>

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} </math>

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

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.