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.
On this page:
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 .
Count dimensions.
is , so it is a row matrix. is , so it is a column matrix. Both and are , so they are square matrices.
Check the entries.
Every entry of and is zero, so both are zero matrices. The matrix has ones on its main diagonal and zeros elsewhere, so it is an identity matrix. Notice that is both a row matrix and a zero matrix: these categories describe different features.
Multiply by the identity.
Since and are both , the product is defined:
The identity matrix leaves a compatible matrix unchanged under multiplication.
Click a topic below to practice the foundational skills you'll need, learn the steps, or master this skill
Earned ?
Print this free 'Identify row, column, square, zero, and identity matrices' worksheet to practice this skill away from the computer. Click 'Modify' to easily customize this worksheet to your exact needs.