18.5 Taylor’s Formula
Theorem 18.5.1 (Taylor’s Formula, Lagrange Remainder [Theorem 4.7.1, BS17]). Let $-\infty < a < b < \infty$, $E$ be a separated locally convex space, $S \subset [a, b]$ be at most countable, $n \in \natp$, and $f \in C^{n}([a, b]; E)$ be $(n+1)$-fold differentiable on $[a, b] \setminus N$, then
is contained in the closed convex hullIt may be possible to sharpen the below claim to include the $1/(n+1)!$ factor. However, I was not able to follow the proof for this. of
Proof. If $n = 0$, then the theorem is the Mean Value Theorem.
Suppose inductively that the theorem holds for $n$. Let
then for any $t \in (0, 1)$,
by the Mean Value Theorem,
is contained in the closed convex hull of
By the inductive hypothesis applied to $Df$, for any $t \in [a, b]$,
is contained in the closed convex hull of
Therefore
is contained in the convex hull of
Theorem 18.5.2 (Taylor’s Formula, Peano Remainder [Theorem 4.7.3, BS17]). Let $E$ be a topological vector space, $\sigma \subset B(E)$ be an upward-directed family that includes bounded sets contained in finite-dimensional subspaces, $F$ be a separated locally convex space, $U \subset E$ be open, and $f: U \to F$ be $n$-fold $\sigma$-differentiable at $x_{0} \in U$, then there exists $r \in \mathcal{R}_{\sigma}^{n}(E; F)$ such that
Proof. Let
For any $1 \le k \le n$, $D^{k}_{\sigma}(x_{0}) \in B^{k}_{\sigma}(E; F)$ is symmetric by Theorem 18.4.3. Let $T_{k}(h) = \frac{1}{k!}D^{k}_{\sigma} f(x_{0})(h^{(k)})$, then by Proposition 18.4.4, for any $\bracs{t_j}_{1}^{\ell} \in E$,
so
If $n = 1$, then the theorem holds by definition of the derivative. Now suppose inductively that the theorem holds for $n$. By the Mean Value Theorem,
For any $A \in \sigma$ and $t > 0$,
Let $U \in \cn_{F}(0)$ be convex and circled, then by the inductive assumption applied to $D_{\sigma} r$, there exists $t_{0} \in (0, 1)$ such that for any $t \in (0, t_{0})$.
Since $U$ is circled,
so
and
Therefore $r \in \mathcal{R}_{\sigma}^{n+1}(E; F)$.$\square$