Skill: Identify row, column, square, zero, and identity matrices

Explanation and Free Practice Resources

A row matrix has one row, a column matrix has one column, and a square matrix has the same number of rows and columns; these forms are distinguished by dimensions, not by the values of their entries. A zero matrix has every entry equal to 0, while an identity matrix is square, with 1s on its main diagonal and 0s elsewhere, and leaves a compatible matrix unchanged under multiplication.

Detailed Explanation: Identify row, column, square, zero, and identity matrices

First, count the rows and columns to identify a matrix’s shape: one row means row matrix, one column means column matrix, and equal numbers of rows and columns means square matrix. Then check the entries: a zero matrix contains only zeros, while an identity matrix is square, with ones on its main diagonal and zeros elsewhere.

Worked example: Classify each matrix, then use the identity matrix to multiply MM.

A=[000],B=[20−1],C=[0000],I=[1001],M=[3−214].A=\begin{bmatrix}0&0&0\end{bmatrix}, \quad B=\begin{bmatrix}2\\0\\-1\end{bmatrix}, \quad C=\begin{bmatrix}0&0\\0&0\end{bmatrix}, \quad I=\begin{bmatrix}1&0\\0&1\end{bmatrix}, \quad M=\begin{bmatrix}3&-2\\1&4\end{bmatrix}.
  1. Count dimensions.
    AA is 1×31\times3, so it is a row matrix. BB is 3×13\times1, so it is a column matrix. Both CC and II are 2×22\times2, so they are square matrices.

  2. Check the entries.
    Every entry of AA and CC is zero, so both are zero matrices. The matrix II has ones on its main diagonal and zeros elsewhere, so it is an identity matrix. Notice that AA is both a row matrix and a zero matrix: these categories describe different features.

  3. Multiply by the identity.
    Since II and MM are both 2×22\times2, the product is defined:

IM=[1001][3−214]=[3−214]=M. IM= \begin{bmatrix}1&0\\0&1\end{bmatrix} \begin{bmatrix}3&-2\\1&4\end{bmatrix} = \begin{bmatrix}3&-2\\1&4\end{bmatrix} =M.

The identity matrix leaves a compatible matrix unchanged under multiplication.

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