Since , the image of a linear map represented by lies in the kernel of . The matrix is nonzero, so this image of a linear map contains a nonzero vector; consequently . On the other hand, gives . The rank-nullity theorem in dimension two therefore gives
Thus the image of is a line through the origin, and maps onto that line.
Reversing the order of the matrix multiplication need not give zero. For example,
gives but . This also shows why information about one composition of linear maps does not establish the corresponding property of the reversed composition.
Write . Its rank is one, so its determinant is zero. Choose its adjugate matrix:
Direct matrix multiplication gives . Since the entries of are the entries of the nonzero matrix , rearranged with possible sign changes, . This establishes both required annihilation properties.

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