Calculate the gradient of $F(x) := \frac{|Ax|^2}{|x|^2}$

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Given matrix $A \in \mathbb{R}^{k \times n}$, define scalar field $F : \mathbb{R}^{n}\ \backslash \{ 0\} \to \mathbb{R}$ by $$F(x) := \frac{|Ax|^2}{|x|^2}$$ and find $\nabla F$


I have tried to write it out by the definition of a partial derivative but end up with a mess of an equation.

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You can view that as compositions/operations of functions:

Notice first that since for any $h\in\Bbb R^n$, $A(x+h) = Ax + Ah = Ax + Ah + o(h)$, the differential of $A:x\mapsto Ax$ is given by $\mathrm dA(x) = A$ and so $$ ∇A= A^T $$ In particular, $∇ x= I_n$ is the identity. Then, since $|x|^2 = x· x$, by the product rule $∇(|x|^2) = 2\,x$. By the rule for taking differentials of composition of functions you get $\nabla(|Ax|^2)=2\,A^TA\,x$. Now we are ready to compute the result. $$ \nabla\left(\frac{|Ax|^2}{|x|^2}\right) = \frac{2\,|x|^2\,A^TA\,x-2\,|Ax|^2\,x}{|x|^4} = \frac{2}{|x|^2} \,A^TA\,x - \frac{2\,|Ax|^2}{|x|^4}\,x $$

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$ \def\a{\alpha}\def\b{\beta}\def\g{\gamma}\def\t{\theta} \def\l{\lambda}\def\s{\sigma}\def\e{\varepsilon} \def\n{\nabla}\def\o{{\tt1}}\def\p{\partial} \def\E{{\cal E}}\def\F{{\cal F}}\def\G{{\cal G}} \def\L{\left}\def\R{\right} \def\LR#1{\L(#1\R)} \def\bR#1{\big(#1\big)} \def\BR#1{\Big(#1\Big)} \def\trace#1{\operatorname{Tr}\LR{#1}} \def\qiq{\quad\implies\quad} \def\grad#1#2{\frac{\p #1}{\p #2}} $Define the scalar functions (and their differentials) $$\eqalign{ \b &= \|Ax\|^2 \;&=\; x^TBx &\qiq d\b=2Bx:dx,\quad &B=A^TA \\ \g &= \|x\|^2 \;&=\; x^TIx &\qiq d\g=2Ix:dx,\quad &I={\rm Identity} \\ }$$ Use these to rewrite your own scalar function, then calculate its differential and gradient. $$\eqalign{ \l &= \g^{-1}\b \\ d\l &= \g^{-1}d\b \;-\; \b\g^{-2}d\g \\ &= \g^{-1}\bR{2Bx:dx} - \b\g^{-2}\bR{2Ix:dx} \\ &= 2\g^{-1}\bR{Bx-\g^{-1}\b x}:dx \\ \grad{\l}{x} &= 2\g^{-1}\bR{Bx-\l x} \\ }$$ which can be rewritten in terms of the original variables
$$\eqalign{ \grad{F}{x} &= \frac{2}{\|x\|^2} \LR{A^TAx-\LR{\frac{\|Ax\|^2}{\|x\|^2}}x} \\ }$$