Question on finding ith column of Inverse Matrix from two basis vector linear combinations

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Here is the question,

"Let A be an invertible Matrix. Suppose

$$ Au = 5e_1 + 6e_2 + 7e_3 + 8e_4 $$ $$ Av = 5e_1 + 6e_2 + 9e_3 + 8e_4 $$ Where $e_i \epsilon \Re^4 $ is the $i^{th}$ standard basis vector. In terms of u and v find the third column of $A^{-1}$

My first thought is that I can represent v and u as $$v = [5\;6\; 9\; 8\;]A^{-1} $$ $$u = [5\; 6\; 7\; 8\;]A^{-1} $$ Which gives me the Matrix in u and v forms. But I am a little confused as to where to go from here. I feel like each column in $A^{-1} v and u are both 4*1 vectors meaning A is a 4*4 matrix. This is derived from the space we are in. That means that this 4*1 vector for each equation would be equal to the Inverse times that vector. But where do I go from here with this logic??

There was a hint at the end that the once the logic is worked out there is essentially no calculations at all.

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they are writing vectors as column vectors when using matrix multiplication. You should be thinking of $u$ as a column vector of four numbers (the coefficients in the standard basis), then $$ Au = \left( \begin{array}{c} 5 \\ 6 \\ 7 \\ 8 \\ \end{array} \right) $$ $$ Av = \left( \begin{array}{c} 5 \\ 6 \\ 9 \\ 8 \\ \end{array} \right) $$ So then, what column vector is $w$ if I say $$ \frac{1}{2} A(v-u) = w \; ? $$ What happens when you multiply both sides of that on the left by $A^{-1} \; ? \;$