Question #110827
Explain the difference between a singular and a non-singular matrix. Show that a non-singular matrix
must be square.
1
Expert's answer
2020-04-28T16:38:11-0400

A singular matrix AA is a square matrix which is not invertible, i.e. A1A^{-1} does not exist. A non-singular matrix BB is a square matrix which is invertible, i.e. B1B^{-1} exists.

Further, since for a non-singular matrix BB, we have BB1=B1B=IBB^{-1} = B^{-1} B = I and since, for B1BB^{-1} B to exist, the number of columns in BB must be equal to the number of rows in B1B^{-1} , and also, for B1BB^{-1} B to exist, the number of columns in B1B^{-1} must be equal to the number of rows in BB , hence the number of columns in BB must be equal to the to the number of rows in BB i.e. BB must be a square matrix.


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