An inner product space has a vector related to an arbitrary collection of scalars

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Let $V$ be a finite dimensional inner product space with inner product $\left\langle , \right\rangle$ and let $\beta = \{v_1,...,v_n\}$ be a basis for $V$. If $c_1,...,c_n$ are arbitrary scalars, show $\exists ! \alpha \in V$ with $\left\langle \alpha , v_i \right\rangle = c_i$ $\forall i \in \{1,...,n\}$.

Here's what I've thought so far. It would be easy if $\beta$ were given as an orthogonal basis, as then $\left\langle \sum_{i=1}^n c_iv_i , v_j\right\rangle = c_i \delta_{ij}$ so $\alpha = \sum_{i=1}^n c_iv_i$ is what we require.

I know we can use the Gram-Schmidt process to acquire an orthonormal basis $\{ w_1,...,w_n\}$ from $\{v_1,...,v_n\}$ but if $\alpha = \sum_{i=1}^n c_iw_i$, there's no guarantee (that I can see) that $\left\langle w_i,v_j\right\rangle = \delta_{ij}$ to get what we require.

I was also thinking we could use the matrix $M$ for $\left\langle , \right\rangle$ to get the following system of $n$ equations; $xMv_i = c_i$ in $x$, but I don't know that this would have to have a solution.

Any ideas? Thanks!

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Hint: Show that $L : V \to \mathbb{R}^n$ defined by

$$L(v) = \begin{bmatrix} \langle v, v_1\rangle\\ \vdots\\ \langle v, v_n\rangle\end{bmatrix}$$

is an isomorphism.