Say that we have the following matrices: $A\in M_{n,n}$ which is unknown, $Y\in M_{n,m}/\{0_{n,m}\}$ and $X\in M_{n,m}/\{0_{n,m}\}$. I want to show that the following set is convex $\Omega=\{S\in M_{m,m},\space S=(Y-A\times X)^T(Y-A\times X)\space \space |\space \space\|A\|_2\leq \frac{\epsilon}{n}\}$.
From the norm equivalence we have $\|A\|_2\leq \|A\|_1 \leq n\|A\|_2$ we have only n this is because A is a square matrix of dimension n and so $n=m$. What I would like to have as a constraint is $\|A\|_1\leq \epsilon$ but this will make the set a polygon having parabolas for each side which not convex.. so if we assume that $\|A\|_2\leq \frac{\epsilon}{n}$, then $\|A\|_1\leq \epsilon$. I'm considering $\|A\|_2 \leq \frac{\epsilon}{n}$ because the set would be convex and smaller than considering $\|A\|_1\leq \epsilon$ which is not convex.
So how can we prove that $\Omega$ is a convex set?