I was reading through various proofs of the multi-dimensional analogues of the mean value theorem. Suppose we have a $C^1$ function $f: \mathbb{R}^n \supseteq U \to \mathbb{R}^m$. I had thought there was a theorem that
- Given a ball $B\subset U$, $x,y\in B$, there exists a point $\xi \in B$ such that $f(x)-f(y)= Df(\xi)(x-y)$,
although in general $\xi$ will not lie on the line between $x$ and $y$. But the way I had remembered to prove it is incorrect. Is this a theorem at all?
Another related theorem is that
\2. Suppose $C\subset U$ is convex. Given $x,y \in C$, suppose $\|Df(\xi)\| \leq \eta$ for all $\xi $ on the line between $x$ and $y$. Then $\|f(x) - f(y)\| \leq \eta \|x-y\|$.
The proofs I'm reading for #2 are somewhat complicated (e.g. Rudin PMA pp. 113 and 219), and I wondered if there was a simpler one just leveraging #1.
Thanks for clarifying this for me.