Section 6.2: Exercise 11
Proof:
By definition we know that \(A^*\) is defined as \((A^*)_{ij} = \overline{A_{ji}}\) for all \(i\) and \(j\). Therefore the row \(i\), column \(j\) entry of \(AA^*\) is
where \(A_i\) and \(A_j\) are the \(i\)th and \(j\)th rows of \(A\). What does having \(AA^{*} = I\) then mean? The \(i\)th row and \(j\)th column entry of \(I\) is \(I_{ij} = \delta_{ij}\) and this corresponds to the inner product of the rows \(A_i\) and \(A_j\).
So \(AA^{*} = I\) is equivalent to having \(\langle A_i, A_j \rangle = \delta_{ij}\). But this implies that the rows of \(A\) form an orthonormal set of \(n\) vectors in \(C^{n}\) by definition of an orthonormal set. Since there are \(n\) of them and they are linearly independent, then they form a basis for \(C^{n}\). \(\ \blacksquare\).