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    Invertibility and the kernel of a matrix

    E-HK-2OUI

    Area
    Algebra
    Topics
    Linear Algebra
    Status
    draft

    Let \(A\) be an \(n \times n\) (square) matrix. Prove the following two statements:

    1. If \(A\) is invertible and \(AB = 0\) for some \(n \times n\) matrix \(B\), then \(B = 0\) .

    2. If \(A\) is not invertible, then there exists an \(n \times n\) matrix \(B\) such that \(AB = 0\) but \(B \neq 0\) .

    Solution

    1. If \(A\) is invertible and \(AB=0\), then \(B=0\).

    Multiply on the left by \(A^{-1}\): \[ B=A^{-1}AB=A^{-1}0=0. \]

    2. If \(A\) is not invertible, there is a nonzero matrix \(B\) with \(AB=0\).

    Since \(A\) is singular, its nullspace contains some nonzero column vector \(v\) with \(Av=0\). Let \(B\) be the matrix whose first column is \(v\) and whose remaining columns are zero. Then \(B\ne0\), while every column of \(AB\) is zero; hence \(AB=0\).