Reworked the order chapter.
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@@ -119,8 +119,7 @@
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The pair $(\complex(E), \iota)$ is the \textbf{complexification} of $E$ as a topological vector space, and
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\begin{enumerate}[start=4]
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\item If $E$ is locally convex, then so is $\complex(E)$.
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\item If $E$ is normed, then $\complex(E)$ is normable, and there exists a norm $\norm{\cdot}_{\complex(E)}: \complex(E) \to [0, \infty)$ such that $\iota: E \to \complex(E)$ is isometric.
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\item[(F)] For any vector space $F$ over $\real$ and continuous $\real$-linear map $T: E \to F$, there exists a unique continuous $\complex$-linear map $\complex(T): \complex(E) \to \complex(F)$ such that the following diagram commutes:
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\item[(F)] For any topological vector space $F$ over $\real$ and continuous $\real$-linear map $T: E \to F$, there exists a unique continuous $\complex$-linear map $\complex(T): \complex(E) \to \complex(F)$ such that the following diagram commutes:
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\[
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\xymatrix{
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\mathbb{C}(E) \ar@{->}[r]^{\mathbb{C}(T)} & \mathbb{C}(F) \\
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@@ -132,6 +131,8 @@
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\[
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\complex(T)(x + iy) = Tx + iTy
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\]
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Moreover, if $E$ and $F$ are normed, then $\norm{\complex(T)}_{L(\complex(E); \complex(F))} = \norm{T}_{L(E; F)}$.
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\end{enumerate}
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\end{definition}
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@@ -141,25 +142,56 @@
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(U): By (U) of the \hyperref[complexification]{definition:complexification}, there exists a $\complex$-linear map $\complex(T): \complex(E) \to F$ such that the given diagram commutes. Since $T \circ \iota$ and $iT \circ \iota$ are continuous, $T$ is continuous by (U) of the \hyperref[direct sum]{definition:tvs-direct-sum}.
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(4): By \autoref{proposition:finite-lc-product}, the direct sum and product of finitely many locally convex spaces coincide. By \autoref{proposition:lc-projective-topology}, this topology is locally convex.
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(5): Let $\norm{\cdot}_E: E \to [0, \infty)$ be the norm of $E$, and define
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(F): Existence of $\complex(T)$ is given by (U) applied to $\iota \circ T$.
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For the isometry,
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\begin{align*}
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\norm{\complex(T)}_{L(\complex(E); \complex(F))} &= \norm{\complex(T)}
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\end{align*}
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\end{proof}
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\begin{definition}[Complexification of Normed Spaces]
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\label{definition:complexification-of-normed-spaces}
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Let $E$ be a normed vector space over $\real$, then
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\[
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\norm{\cdot}_{\complex(E)}: \complex(E) \to [0, \infty) \quad (x, y) \mapsto \sup_{\theta \in [0, 2\pi]}\norm{\cos(\theta)x + \sin(\theta)y}_E
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\]
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then for any $\phi \in [0, 2\pi]$ and $x, y \in E$,
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is a norm on $\complex(E)$ such that the inclusion map $\iota: E \to \complex(E)$ is isometric.
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Moreover, for any normed vector space $F$ over $\real$ and $T \in L(E; F)$, $\norm{\complex(T)}_{L(\complex(E); \complex(F))} = \norm{T}_{L(E; F)}$.
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\end{definition}
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\begin{proof}
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For any $\phi \in [0, 2\pi]$ and $x, y \in E$,
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\begin{align*}
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\normn{e^{i \phi}(x, y)}_{\complex(E)} &= \normn{(\cos(\phi)x - \sin(\phi)y, \sin(\phi)x + \cos(\phi)y)}_{\complex(E)} \\
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&= \sup_{\theta \in [0, 2\pi]}\norm{\cos(\theta - \phi)x + \sin(\theta - \phi)y}_E \\
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&= \norm{(x, y)}_{\complex(E)}
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\end{align*}
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so $\norm{(x, y)}_{\complex(E)}$ is a norm. For any $x \in E$,
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so $\norm{\cdot}_{\complex(E)}$ is a norm on $\complex(E)$. For any $x \in E$,
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\[
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\norm{\iota x}_{\complex(E)} = \sup_{\theta \in [0, 2\pi]}\norm{\cos(\theta)x}_E = \norm{x}_E \\
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\]
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Therefore $\iota: E \to \complex(E)$ is isometric.
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(F): By (U) applied to $\iota \circ T$.
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Now, let $F$ be a normed vector space over $\real$ and $T \in L(E; F)$, then
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\begin{align*}
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\norm{\complex(T)}_{L(\complex(E); \complex(F))} &= \sup\bracsn{\norm{\complex(T)(x,y)}_{\complex(F)}|(x, y) \in \complex(E), \norm{(x, y)}_{\complex(E)} = 1} \\
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&\ge \sup\bracsn{\norm{Tx}|x \in E, \norm{x}_E = 1} = \norm{T}_{L(E; F)}
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\end{align*}
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On the other hand, let $(x, y) \in \complex(E)$, then there exists $\theta \in [0, 2\pi]$ such that
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\begin{align*}
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\normn{\complex(T)(x, y)}_{\complex(F)} &= \normn{(Tx, Ty)}_{\complex(F)} = \norm{\cos(\theta)Tx + \sin(\theta)Ty}_F \\
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&\le \norm{T}_{L(E; F)} \cdot \norm{\cos(\theta)x + \sin(\theta)y}_E \\
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&\le \norm{T}_{L(E; F)} \cdot \sup_{\phi \in [0, 2\pi]}\norm{\cos(\phi)x + \sin(\phi)y}_E \\
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&= \norm{T}_{L(E; F)} \cdot \norm{(x, y)}_E
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\end{align*}
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\end{proof}
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