Given an inner product space X, let x,y $\in$ X. I need to show the following are equivalent:
$\|$x+y$\|$ = $\|$x$\|$ + $\|$y$\|$ $\iff$ $\|$y$\|$x=$\|$x$\|$y .
I know the first condition makes x and y linearly dependent but I haven't gone much further than the Cauchy-Schwarz inequality, triangle inequality and parallelogram law so I'm not sure how to get the "free" x and y on the right hand side.
If $x$ is the zero vector, the equivalence holds. Suppose that $x$ is nonzero. Rewrite the left-hand side of the equivalence as $$ \sqrt{(x+y,x+y)}=\sqrt{(x,x)}+\sqrt{(y,y)} $$ and raise both parts to the square, thereby getting that $$ (x,y)=|x|\,|y|, $$ or \begin{equation*} \tag{1} (x/|x|,y)=|y|. \end{equation*} Consider then an orthonormal basis $x_1,\ldots,x_n$ such that $x_1=x/|x|$ and let $$ y=\alpha_1 x_1 + \ldots + \alpha_n x_n. $$ Then it follows from (1) that $$ \alpha_1 = \sqrt{\alpha_1^2 + \ldots +\alpha_n^2}, $$ whence $$ \alpha_1=|y|, \alpha_2=\ldots=\alpha_n=0. $$ or $$ y=|y| x/|x| \iff |x| y = |y| x. $$ The converse is trivial.