Section 6.3: Theorem 6.8
Proof:
Let \(\beta = \{v_1,...,v_n\}\) be an orthonormal basis for \(V\), and let
Define \(h: V \rightarrow \mathbf{F}\) by \(h(x) = \langle x, y \rangle\) which is linear. Furthermore, for \(i \leq j \leq n\), we have
But \(h\) and \(g\) agree on a basis so by the corollary from 2.6, \(g = h\).
To show that \(y\) is unique. Suppose it is not and let \(g(x) = \langle x, y' \rangle\). for all \(x\). Then, \(\langle x, y' \rangle = \langle x, y \rangle\) but by Theorem 6.1(e), this means that \(y = y'\) as we wanted to show. \(\ \blacksquare\)
Notes: So my understanding is that we can turn any linear transformation from \(V\) to \(\mathbf{F}\) into an inner product with some unique vector \(y \in V\). For example if \(V = \mathbf{R}^2\) and we have some \(g(x): V \rightarrow V\). where \(g(a,b) = 3a + 2b\). Then,
is a unique vector in \(V\) such that
At least this is what I understood!