A singular matrix is a square matrix which is not invertible, i.e. does not exist. A non-singular matrix is a square matrix which is invertible, i.e. exists.
Further, since for a non-singular matrix , we have and since, for to exist, the number of columns in must be equal to the number of rows in , and also, for to exist, the number of columns in must be equal to the number of rows in , hence the number of columns in must be equal to the to the number of rows in i.e. must be a square matrix.
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