Normed space $C^2[0,1]$ with norm $\lVert f\rVert:=\max_{t\in[0,1]}\{\lvert f(t)\rvert+\lvert f”(t)\rvert\}$ is Banach space

banach-spacescomplete-spacesfunctional-analysisnormed-spaces

The problem is as follows: I want to show that the normed space $C^2[0,1]$ with norm defined as $$\lVert f\rVert:=\max_{t\in[0,1]}\{\lvert f(t)\rvert+\lvert f''(t)\rvert\}$$ is a Banach space (and I have shown that this is indeed a norm).

In order to show that this space is a Banach space, I want to show that this normed space is complete; i.e. all Cauchy sequences converge. So I thought about taking sequences of functions that are Cauchy sequences. The problem is that I don't know if I can, in addition, assume that the Cauchy-sequence are $C^r$-stable; i.e. the distances between the $r$-th derivatives (w.r.t. this norm) are bounded for arbitrarily small values of the norm. I also don't know if I'm even thinking in the right direction since at first sight this question doesn't seem to be that challenging. I think I miss some important theory of converging function w.r.t. its $r$-th derivatives (although I'm familiar with $C^r$ stability as described above). Any useful words are appreciated, thanks in advance.

Best Answer

It is a standard exercise to see that $C^2([0,1])$ is a Banach space for the norm $$\|f\|' = \max_t (|f(t)| + |f'(t)| + |f''(t)|).$$ You can use the same approach as the question linked in the comments once you can work with this norm (just adding an extra derivative).

The problem you may have here is that you only have control on the function and its second derivative, but not its first derivative. It is clear that $\|f\| \leq \|f\|'$. I will show that $\|f\|' \leq c \|f\|$ so that the norms are equivalent and it is enough to show that $C^2([0,1])$ is complete for $\|\cdot \|'$.

To do this, note that for $y \geq 1/2$, we can taylor expand $$f(0) = f(y) - yf'(y) + \frac{y^2}{2} f''(\xi)$$ for some $\xi \in[\frac12,1)$. This implies that $$|f'(y)| \leq |y|^{-1} (|f(0)| + |f(y)|) + \frac{|y|}{2} |f''(\xi)| \leq 4 \|f\| + \frac{1}{2} \|f\|.$$ Similarly, for $y < \frac{1}{2}$, write $$f(1) = f(y) + (1-y)f'(y) + \frac{(1-y)^2}{2} f''(\xi)$$ and rearrange to again get $$|f'(y)| \leq 4 \|f\| + \frac{1}{2} \|f\|.$$ All in all, we've proved that $\|f'\|_\infty \leq c_1 \|f\|$. This means that $$\|f\|' = \max(|f(t)| + |f'(t)| + |f''(t)|) \leq \max(|f(t)| + \|f'\|_\infty + |f''(t)|) \leq \|f\| + c_1\|f\|$$ which is what we wanted to show.