Conformable matrix

In mathematics, a matrix is conformable if its dimensions are suitable for defining some operation (e.g. addition, multiplication, etc.).^[1]

Examples

If two matrices have the same dimensions (number of rows and number of columns), they are conformable for addition.
Multiplication of two matrices is defined if and only if the number of columns of the left matrix is the same as the number of rows of the right matrix. That is, if Template:Math is an Template:Math matrix and Template:Math is an Template:Math matrix, then Template:Math needs to be equal to Template:Math for the matrix product Template:Math to be defined. In this case, we say that Template:Math and Template:Math are conformable for multiplication (in that sequence).
Since squaring a matrix involves multiplying it by itself (Template:Math) a matrix must be Template:Math (that is, it must be a square matrix) to be conformable for squaring. Thus for example only a square matrix can be idempotent.
Only a square matrix is conformable for matrix inversion. However, the Moore–Penrose pseudoinverse and other generalized inverses do not have this requirement.
Only a square matrix is conformable for matrix exponentiation.