How should I even begin to attempt to show that: $$\frac{\|\bf{x} - \tilde{x} \|}{\|\bf{x}\|} \leq \frac{cond(\bf{A})}{1 - \|\bf{A}^{-1} (\bf{A} - \bf{\tilde{A}}) \|} \left( \frac{\|\bf{b} - \bf{\tilde{b}} \|}{\|\bf{b}\|} + \frac{\|\bf{A} - \bf{\tilde{A}} \|}{\|\bf{A}\|} \right)$$ with $\bf{Ax = b}$ and $\bf{\tilde{A}\tilde{x} = \tilde{b}}$ for invertible real $n \times n$ matrices $\bf{A}$ and $\tilde{\bf{A}}$; and the vectors are elements of $\mathbb{R}^n$ ? Any hint is much appreciated.
Note that the norm $\| \:.\|$ is just any (consistent) norm.
I might edit this answer into a proper one once I'm a bit more free, but for now, please accept these screenshots since I don't have enough time to convert my custom LaTeX commands into normal ones.