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Bokuan Li
a4642a0128 Added FTC for path integrals.
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2026-05-11 21:21:26 -04:00
Bokuan Li
4ba2e76b44 Added the principal logarithm. 2026-05-11 16:11:33 -04:00
14 changed files with 283 additions and 4 deletions

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@@ -112,3 +112,13 @@
pages={3211--3212}, pages={3211--3212},
year={1996} year={1996}
} }
@book{ConwayComplex,
title={Functions of One Complex Variable I},
author={Conway, J.B.},
isbn={9780387903286},
lccn={lc78018836},
series={Functions of one complex variable / John B. Conway},
url={https://books.google.ca/books?id=9LtfZr1snG0C},
year={1978},
publisher={Springer}
}

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@@ -0,0 +1,34 @@
\section{Complex Differentiability}
\label{section:complex-derivative}
\begin{definition}[Complex Analytic]
\label{definition:complex-analytic}
Let $E$ be a separated locally convex space over $\complex$, $U \subset \complex$, and $f: U \to E$, then the following are equivalent:
\begin{enumerate}
\item $f \in C^1(U; E)$.
\item Under the identification of $C = \real^2$, $\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \in C(U; E)$ and
\[
\frac{\partial f}{\partial x} = i\frac{\partial f}{\partial y}
\]
\end{enumerate}
\end{definition}
\begin{proof}
(1) $\Rightarrow$ (2): Let $x_0 \in U$, then
\[
\frac{\partial f}{\partial x} = \lim_{\substack{h \to 0 \\ h \in \real}}\frac{f(x_0 + h) - f(x_0)}{h}
= \lim_{h \to 0}\lim_{\substack{h \to 0 \\ h \in \real}}\frac{f(x_0 + ih) - f(x_0)}{ih} = \frac{1}{i} \frac{\partial f}{\partial y}
\]
(2) $\Rightarrow$ (1): Let $x_0 \in U$ and
\[
L: \complex \to E \quad a + bi \mapsto a \frac{\partial f}{\partial x}(x_0) + b \frac{\partial f}{\partial y}(x_0)
\]
by assumption and \autoref{proposition:polarisation-linear}, $L \in L(\complex; E)$. By \autoref{proposition:partial-total-derivative}, $f \in C^1(U \subset \real^2; E)$, where for any $(a, b) \in \real^2$,
\[
Df(x_0)(a, b) = a \frac{\partial f}{\partial x}(x_0) + b \frac{\partial f}{\partial y}(x_0)
\]
so by definition of differentiability, $f$ is complex-differentiable at $x_0$ with derivative $L$.
\end{proof}

8
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@@ -0,0 +1,8 @@
\chapter{Complex Analysis}
\label{chap:complex-analysis}
\input{./derivative.tex}
\input{./log.tex}

35
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@@ -0,0 +1,35 @@
\section{The Complex Logarithm}
\label{section:complex-log}
\begin{definition}[Branch of Logarithm]
\label{definition:branch-of-log}
Let $U \subset \complex$ be a connected open set with $0 \not\in U$ and $f \in C(U; \complex)$, then $f$ is a \textbf{branch of the logarithm} if for every $z \in U$, $z = \exp(f(z))$.
\end{definition}
\begin{lemma}
\label{lemma:branch-of-log-shift}
Let $U \subset \complex$ be a connected open set with $0 \not\in U$, and $f, g \in C(U; \complex)$ be two branches of the logarithm, then there exists $k \in \integer$ such that $f - g = 2\pi k i$.
\end{lemma}
\begin{proof}[Proof, {{\cite[Proposition 2.19]{ConwayComplex}}}. ]
For each $x \in U$, there exists $k \in \integer$ such that $f(x) - g(x) = 2\pi k i$. Thus $f - g \in C(U; 2\pi i\integer)$. Since $U$ is connected, $(f - g)(U)$ must be a singleton. Therefore there exists $k \in \integer$ such that $f - g = 2\pi k i$.
\end{proof}
\begin{proposition}
\label{proposition:branch-of-log-analytic}
Let $U \subset \complex$ be a connected open set with $0 \not\in U$, and $f \in C(U; \complex)$ be a branch of the logartihm, then $f$ is analytic.
\end{proposition}
\begin{proof}
By the \autoref{theorem:inverse-function-theorem}.
\end{proof}
\begin{definition}[Principal Logarithm]
\label{definition:principal-logarithm}
Let $U = \complex \setminus \bracs{z \in \real|z \le 0}$, then there exists a unique mapping $\ell: U \to \complex$ such that:
\begin{enumerate}
\item $\ell$ is a branch of the complex logarithm.
\item For each $re^{i\theta} \in U$, $\ell(r^{i\theta}) = \ln r + i\theta$.
\end{enumerate}
The function $\ell$ is the \textbf{principal logarithm} on $U$.
\end{definition}

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@@ -50,6 +50,12 @@
Let $E, F$ be TVSs over $K \in \RC$ with $F$ being separated, $\sigma \subset \mathfrak{B}(E)$ be a covering ideal, $U \subset E$ be open, and $n \in \natp$, then $D_\sigma^k(U; F)$/$\tilde D_\sigma^k(U; F)$ is the \textbf{space of $n$-fold $\sigma$/$\tilde \sigma$-differentiable functions} from $U$ to $F$. Let $E, F$ be TVSs over $K \in \RC$ with $F$ being separated, $\sigma \subset \mathfrak{B}(E)$ be a covering ideal, $U \subset E$ be open, and $n \in \natp$, then $D_\sigma^k(U; F)$/$\tilde D_\sigma^k(U; F)$ is the \textbf{space of $n$-fold $\sigma$/$\tilde \sigma$-differentiable functions} from $U$ to $F$.
\end{definition} \end{definition}
\begin{definition}[Space of Continuously Differentiable Functions]
\label{definition:continuously-differentiable-space}
Let $E, F$ be TVSs over $K \in \RC$ with $F$ being separated, $\sigma \subset \mathfrak{B}(E)$ be a covering ideal, $U \subset E$ be open, and $n \in \natp$, then $C_\sigma^k(U; F)$/$\tilde C_\sigma^k(U; F)$ is the \textbf{space of $n$-fold continuously $\sigma$/$\tilde \sigma$-differentiable functions} from $U$ to $F$.
\end{definition}
\begin{theorem}[Symmetry of Higher Derivatives] \begin{theorem}[Symmetry of Higher Derivatives]
\label{theorem:derivative-symmetric-frechet} \label{theorem:derivative-symmetric-frechet}
Let $E, F$ be Banach spaces, $U \subset E$ be open, $n \in \natp$, and $f: U \to F$ be a function $n$-times Fréchet-differentiable at $x \in U$, then $D^nf(x) \in L^n(E; F)$ is symmetric. Let $E, F$ be Banach spaces, $U \subset E$ be open, $n \in \natp$, and $f: U \to F$ be a function $n$-times Fréchet-differentiable at $x \in U$, then $D^nf(x) \in L^n(E; F)$ is symmetric.

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@@ -6,5 +6,6 @@
\input{./mvt.tex} \input{./mvt.tex}
\input{./higher.tex} \input{./higher.tex}
\input{./taylor.tex} \input{./taylor.tex}
\input{./partial.tex}
\input{./power.tex} \input{./power.tex}
\input{./inverse.tex} \input{./inverse.tex}

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@@ -0,0 +1,61 @@
\section{Partial Derivatives}
\label{section:partial-derivatives}
\begin{definition}[Partial Derivative]
\label{definition:partial-derivative}
Let $E_1, E_2$ be TVSs over $K \in \RC$, $\sigma_1 \subset \mathfrak{B}(E_1)$ and $\sigma_2 \subset \mathfrak{B}(E_2)$ be covering ideals, $F$ be a separated TVS over $K$, $U \subset E_1 \times E_2$ be open, and $f: U \to F$. For each $(x_0, y_0) \in E$, let $f_{x_0}(y) = f(x_0, y)$ and $f_{y_0}(x) = f(x, y_0)$ be the partial maps of $f$. If $f_{x_0}$ is $\tilde \sigma_1$-differentiable for each $x_0$, and $f_{y_0}$ is $\tilde \sigma_2$-differentiable for each $y_0$, then
\[
D_1f: U \to B_{\sigma_1}(E_1; F) \quad (x, y) \mapsto D_{\sigma_1}f_{x}(y)
\]
and
\[
D_2f: U \to B_{\sigma_2}(E_2; F) \quad (x, y) \mapsto D_{\sigma_2}f_{y}(x)
\]
are the \textbf{partial derivatives} of $f$.
\end{definition}
\begin{proposition}
\label{proposition:partial-total-derivative}
Let $E_1, E_2$ be TVSs over $K \in \RC$, $\sigma_1 \subset \mathfrak{B}(E_1)$ and $\sigma_2 \subset \mathfrak{B}(E_2)$ be covering ideals, $F$ be a separated locally convex space over $K$, $U \subset E_1 \times E_2$ be open, $f: U \to F$, and $p \ge 1$, then the following are equivalent:
\begin{enumerate}
\item $f \in \tilde C_{\sigma_1 \otimes \sigma_2}^p(U; F)$.
\item $D_1 f \in \tilde C_{\sigma_1 \otimes \sigma_2}^{p-1}(U; B_{\sigma_1}(E; F))$ and $D_2 f \in \tilde C_{\sigma_1 \otimes \sigma_2}^{p-1}(U; B_{\sigma_2}(E; F))$
\end{enumerate}
If the above holds, then for any $x \in U$ and $(h_1, h_2) \in E_1 \times E_2$,
\[
D_{\sigma_1 \otimes \sigma_2}f(x)(h_1, h_2) = D_1f(x)(h_1) + D_2f(x)(h_2)
\]
\end{proposition}
\begin{proof}
(2) $\Rightarrow$ (1): For each $(x, y) \in U$ and $(h_1, h_2) \in E_1 \times E_2$,
\begin{align*}
f(x + h_1, y + h_2) - f(x, y) &= f(x + h_1, y + h_2) - f(x + h_1, y) \\
&+ f(x + h_1, y) - f(x, y) \\
&= f(x + h_1, y + h_2) - f(x + h_1, y) \\
&+ D_1f(x, y)(h_1) + r_1(h_1)
\end{align*}
where $r_1 \in \mathcal{R}_{\sigma_1}(E_1; F)$. On the other hand, by the \hyperref[Mean Value Theorem]{theorem:mean-value-theorem},
\begin{align*}
&f(x + h_1, y + h_2) - f(x + h_1, y) - Df_2(x, y)(h_2) \\
&\in h_2\ol{\text{Conv}}\bracs{D_2f(x + h_1, y + th_2) - Df_2(x, y)|t \in [0, 1]}
\end{align*}
Since $D_2f$ is continuous and $F$ is locally convex,
\[
f(x + h_1, y + h_2) - f(x + h_1, y) - Df_2(x, y)(h_2) = r_2(h_1, h_2)
\]
where $r_2 \in \mathcal{R}_{\sigma_1 \otimes \sigma_2}(E_1 \times E_2; F)$. Therefore
\begin{align*}
f(x + h_1, y + h_2) - f(x, y) &= D_1f(x, y)(h_1) + D_2f(x, y)(h_2) \\
&+ r_1(h_1) + r_2(h_1, h_2)
\end{align*}
\end{proof}

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@@ -2,4 +2,5 @@
\label{part:diffgeo} \label{part:diffgeo}
\input{./derivative/index.tex} \input{./derivative/index.tex}
\input{./complex/index.tex}
\input{./notation.tex} \input{./notation.tex}

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@@ -12,6 +12,9 @@ Differential geometry is the study of things invariant under change of notation.
$D_\sigma f(x_0)$ & $\sigma$-derivative of $f$ at $x_0$. & \autoref{definition:derivative-sets} \\ $D_\sigma f(x_0)$ & $\sigma$-derivative of $f$ at $x_0$. & \autoref{definition:derivative-sets} \\
$D_\sigma^n f$ & $n$-fold $\sigma$-derivative. & \autoref{definition:n-differentiable-sets} \\ $D_\sigma^n f$ & $n$-fold $\sigma$-derivative. & \autoref{definition:n-differentiable-sets} \\
$D_\sigma^n(U; F)$ & $n$-fold $\sigma$-differentiable functions. & \autoref{definition:differentiable-space} \\ $D_\sigma^n(U; F)$ & $n$-fold $\sigma$-differentiable functions. & \autoref{definition:differentiable-space} \\
$\tilde D_\sigma^n(U; F)$ & $n$-fold $\tilde \sigma$-differentiable functions. & \autoref{definition:differentiable-space} \\
$C_\sigma^n(U; F)$ & $n$-fold continuously $\sigma$-differentiable functions. & \autoref{definition:continuously-differentiable-space} \\
$\tilde C_\sigma^n(U; F)$ & $n$-fold continuously $\tilde \sigma$-differentiable functions. & \autoref{definition:continuously-differentiable-space} \\
$L^{(n)}_\sigma(E; F)$ & Codomain of derivatives. $L^{(0)}_\sigma(E; F) = F$, $L^{(n)}_\sigma(E; F) = L(E; L_\sigma^{(n-1)}(E; F))$, equipped with the $\sigma$-uniform topology. & \autoref{definition:higher-derivatives-codomain} \\ $L^{(n)}_\sigma(E; F)$ & Codomain of derivatives. $L^{(0)}_\sigma(E; F) = F$, $L^{(n)}_\sigma(E; F) = L(E; L_\sigma^{(n-1)}(E; F))$, equipped with the $\sigma$-uniform topology. & \autoref{definition:higher-derivatives-codomain} \\
$x^{(k)}$ & Tuple of $x$ repeated $k$ times. & \autoref{theorem:taylor-peano} \\ $x^{(k)}$ & Tuple of $x$ repeated $k$ times. & \autoref{theorem:taylor-peano} \\
$D^+f(x)$ & Right derivative of $f$ at $x$. & \autoref{definition:right-differentiable-mvt} $D^+f(x)$ & Right derivative of $f$ at $x$. & \autoref{definition:right-differentiable-mvt}

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@@ -5,5 +5,6 @@
\input{./bv.tex} \input{./bv.tex}
\input{./rs.tex} \input{./rs.tex}
\input{./rs-bv.tex} \input{./rs-bv.tex}
\input{./path.tex}
\input{./regulated.tex} \input{./regulated.tex}
\input{./rs-measure.tex} \input{./rs-measure.tex}

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@@ -0,0 +1,99 @@
\section{Path Integrals}
\label{section:path-integrals}
\begin{definition}[Rectifiable Path]
\label{definition:rectifiable-path}
Let $[a, b] \subset \real$, $F$ be a locally convex space over $K \in \RC$, and $\gamma \in C([a, b]; F)$ be a path, then $\gamma$ is \textbf{rectifiable} if $\gamma \in BV([a, b]; F)$.
\end{definition}
\begin{definition}[Path Integral]
\label{definition:path-integral}
Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces over $K \in \RC$, $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, and $\gamma \in C([a, b]; F)$ be a path. For any $f: \gamma([a, b]) \to E$, $f$ is \textbf{path-integrable with respect to $\gamma$} if $f \circ \gamma \in RS([a, b], \gamma; E)$. In which case,
\[
\int_\gamma f = \int_a^b f(\gamma(t)) \gamma(dt)
\]
is the \textbf{path integral} of $f$ with respect to $\gamma$. The set $PI([a, b], \gamma; E)$ is the space of all functions path-integrable with respect to $\gamma$.
\end{definition}
\begin{proposition}[Change of Variables]
\label{proposition:path-integral-change-of-variables}
Let $[a, b], [c, d] \subset \real$, $E, F, H$ be locally convex spaces over $K \in \RC$, $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, $\gamma \in C([a, b]; F)$ be a path, and $\varphi: C([c, d]; [a, b])$ be non-decreasing with $\varphi(c) = a$ and $\varphi(d) = b$, then for any $f \in PI([a, b], \gamma; E)$, $f \in PI([c, d], \gamma \circ \varphi; E)$, and
\[
\int_\gamma f = \int_{\gamma \circ \varphi} f
\]
\end{proposition}
\begin{proof}
Since $\varphi(c) = a$, $\varphi(d) = b$, and $\varphi$ is continuous, it is surjective. As $\varphi$ is also non-decreasing, for any tagged partition $(P = \seqfz{x_j}, c = \seqf{c_j}) \in \scp_t([a, b])$, there exists a tagged partition $(Q = \seqfz{y_j}, d = \seqf{d_j}) \in \scp_t([c, d])$ such that $\varphi(y_j) = x_j$ for each $0 \le j \le n$ and $\varphi(d_j) = c_j$ for each $1 \le j \le n$. In addition,
\begin{align*}
S(P, c, f \circ \gamma, \gamma) &= \sum_{j = 1}^n f \circ \gamma(c_j)[\gamma(x_j) - \gamma(x_{j - 1})] \\
&= \sum_{j = 1}^n f \circ \gamma \circ \varphi (d_j)[\gamma \circ \varphi(y_j) - \gamma \circ \varphi(y_{j-1})] \\
&= S(Q, d, f \circ \gamma \circ \varphi, \gamma \circ \varphi)
\end{align*}
Therefore if $f \in PI([a, b], \gamma; E)$, then $f \in PI([c, d], \gamma \circ \varphi; E)$, with $\int_\gamma f = \int_{\gamma \circ \varphi} f$.
\end{proof}
\begin{definition}[Curve]
\label{definition:rs-curve}
Let $[a, b], [c, d] \subset \real$, $F$ be a locally convex space over $K \in \RC$, and $\gamma \in C([a, b]; F)$ and $\mu \in C([c, d]; F)$ be paths, then $\gamma$ and $\mu$ are \textbf{equivalent} if there exists a continuous, strictly increasing bijection $\varphi \in C([c, d]; [a, b])$ such that $\mu = \gamma \circ \varphi$. In which case, $\varphi$ is a \textbf{change of parameter} between $\gamma$ and $\mu$.
A \textbf{curve} in $F$ is then an equivalence class of paths.
\end{definition}
\begin{lemma}
\label{lemma:rectifiable-piecewise-linear}
Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces over $K \in \RC$, $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, $\gamma \in C([a, b]; F)$ be a rectifiable path, and $U \in \cn_F(\gamma([a, b]))$, then for any continuous seminorm $[\cdot]_G: G \to [0, \infty)$, $\eps > 0$, and $f \in C(U; E)$, there exists a piecewise linear path $\Gamma \in C([a, b]; F)$ such that:
\begin{enumerate}
\item $\Gamma(a) = \gamma(a)$ and $\Gamma(b) = \gamma(b)$.
\item $\braks{\int_\gamma f - \int_\Gamma f}_F < \epsilon$.
\end{enumerate}
\end{lemma}
\begin{proof}
Let $[\cdot]_E: E \to [0, \infty)$ and $[\cdot]_F: F \to [0, \infty)$ such that for any $x \in E$ and $y \in F$, $[xy]_G \le [x]_E[y]_F$. Since $\gamma([a, b])$ is compact, by modifying $[\cdot]_F$, assume without loss of generality that there exists $V \in \cn_F(\gamma([a, b]))$ such that for any $x, y \in V$ with $[x - y]_F \le 1$, $[f(x) - f(y)]_E \le \eps$.
Since $f \in C(U; E)$, $f \in PI([a, b], \gamma; E)$ by \autoref{proposition:rs-bv-continuous}. Given that $\gamma$ is of bounded variation, there exists $(P = \seqfz{x_j}, c) \in \scp_t([a, b])$ such that:
\begin{enumerate}[label=(\alph*)]
\item For each $1 \le j \le n$,
\[
\gamma([x_{j-1}, x_j]) \subset \bracs{y \in F|[y - x_{j-1}]_F \le 1}
\]
\item $\braks{\int_\gamma f - S(P, c, f \circ \gamma, \gamma)}_G < \epsilon$.
\end{enumerate}
Let $\Gamma$ be the piecewise linear path formed by linearing $f$ at points in $P$. For any $(Q, d) \in \scp_t([a, b])$ with $(Q, d) \ge (P, c)$,
\[
\braks{S(P, c, f \circ \gamma, \gamma) - S(Q, d, f \circ \Gamma, \Gamma)}_G \le \eps [\gamma]_{\text{var}, [\cdot]_F}
\]
As $\Gamma$ is also of bounded variation, $f \in PI([a, b], \Gamma; E)$. Since the above holds for all refinements of $(Q, d)$,
\[
\braks{\int_\gamma f - \int_\Gamma f}_G < \eps(1 + [\gamma]_{\text{var}, [\cdot]_F})
\]
\end{proof}
\begin{theorem}[Fundamental Theorem of Calculus for Path Integrals]
\label{theorem:ftc-path-integrals}
Let $[a, b], [c, d] \subset \real$, $E, F$ be separated locally convex spaces, $\gamma \in C([a, b]; F)$ be a rectifiable path, $U \in \cn_F(\gamma([a, b]))$.
Let $\sigma \subset \mathfrak{B}(F)$ be an ideal containing all compact sets, then for any $f \in C^1_\sigma(U; E)$,
\[
\int_\gamma D_\sigma f = f(\gamma(b)) - f(\gamma(a))
\]
\end{theorem}
\begin{proof}
Using \autoref{lemma:rectifiable-piecewise-linear}, assume without loss of generality that $\gamma$ is piecewise smooth. By the \hyperref[Chain Rule]{proposition:chain-rule-sets}, $f \circ \gamma \in C^1([a, b]; F)$ with $D(f \circ \gamma)(t) = Df(\gamma(t)) \cdot D\gamma(t)$. In which case, by \autoref{proposition:lebesgue-stieltjes-differentiable} and the \hyperref[Fundamental Theorem of Calculus]{theorem:ftc-riemann},
\begin{align*}
\int_\gamma D_\sigma f &= \int_a^b D_\sigma f (\gamma(t)) \cdot D\gamma(t)dt \\
&= \int_a^b D(f \circ \gamma)(t) dt = f(\gamma(b)) - f(\gamma(a))
\end{align*}
\end{proof}

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@@ -1,9 +1,9 @@
\section{Riemann-Stieltjes Integrals and Functions of Bounded Variation} \section{Integrators of Bounded Variation}
\label{section:rs-bv} \label{section:rs-bv}
\begin{proposition} \begin{proposition}
\label{proposition:rs-bound} \label{proposition:rs-bound}
Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces, and $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, and $G: [a, b] \to F$. Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces, $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, and $G: [a, b] \to F$.
Let $[\cdot]_H$ be a continuous seminorm on $H$, then there exists continuous seminorms $[\cdot]_E$ on $E$ and $[\cdot]_F$ on $F$ such that for any $f \in RS([a, b], G)$, Let $[\cdot]_H$ be a continuous seminorm on $H$, then there exists continuous seminorms $[\cdot]_E$ on $E$ and $[\cdot]_F$ on $F$ such that for any $f \in RS([a, b], G)$,
\[ \[
@@ -24,7 +24,7 @@
\begin{proposition} \begin{proposition}
\label{proposition:rs-complete} \label{proposition:rs-complete}
Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces, and $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, and $G \in BV([a, b]; F)$. Let $[a, b] \subset \real$, $E, F, H$ be locally convex spaces, $E \times F \to H$ with $(x, y) \mapsto xy$ be a continuous bilinear map, and $G \in BV([a, b]; F)$.
For each continuous seminorm $\rho$ on $E$ and $f: [a, b] \to E$, define For each continuous seminorm $\rho$ on $E$ and $f: [a, b] \to E$, define
\[ \[

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@@ -7,6 +7,7 @@
$\sigma(\mathcal{E})$ & $\sigma$-algebra generated by $\mathcal{E}$. & \autoref{definition:generated-sigma-algebra} \\ $\sigma(\mathcal{E})$ & $\sigma$-algebra generated by $\mathcal{E}$. & \autoref{definition:generated-sigma-algebra} \\
$\lambda(\mathcal{E})$ & $\lambda$-system generated by $\mathcal{E}$. & \autoref{definition:generated-lambda-system} \\ $\lambda(\mathcal{E})$ & $\lambda$-system generated by $\mathcal{E}$. & \autoref{definition:generated-lambda-system} \\
$\sigma \otimes \tau$ & Product of ideals. & \autoref{definition:product-ideal} \\
% ---- Measure Theory ---- % ---- Measure Theory ----
$\mathcal{B}_X$ & Borel $\sigma$-algebra on $X$. & \autoref{definition:borel-sigma-algebra} \\ $\mathcal{B}_X$ & Borel $\sigma$-algebra on $X$. & \autoref{definition:borel-sigma-algebra} \\
$\sigma(\{f_i \mid i \in I\})$ & $\sigma$-algebra generated by the maps $\{f_i\}$. & \autoref{definition:generated-sigma-algebra-function} \\ $\sigma(\{f_i \mid i \in I\})$ & $\sigma$-algebra generated by the maps $\{f_i\}$. & \autoref{definition:generated-sigma-algebra-function} \\

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@@ -47,6 +47,25 @@
(2) $\Rightarrow$ (1): Let $E, F \in \tau$, then $E \cup F \in \sigma$. Since $\tau$ is fundamental, there exists $G \in \tau$ such that $E \cup F \subset G$. (2) $\Rightarrow$ (1): Let $E, F \in \tau$, then $E \cup F \in \sigma$. Since $\tau$ is fundamental, there exists $G \in \tau$ such that $E \cup F \subset G$.
\end{proof} \end{proof}
\begin{definition}[Product Ideal]
\label{definition:product-ideal}
Let $X, Y$ be sets, $\sigma \subset 2^X$ and $\tau \subset 2^Y$ be ideals, and
\[
\beta = \bracs{A \times B|A \in \sigma, B \in \tau}
\]
then there exists a unique ideal $\sigma \times \tau$ such that $\beta$ is fundamental with respect to $\sigma$. The ideal $\sigma \otimes \tau$ is the \textbf{product} of $\sigma$ and $\tau$.
\end{definition}
\begin{proof}
For each $A_1, A_2 \in \sigma$ and $B_1, B_2 \in \tau$,
\[
(A_1 \times B_1) \cup (A_2 \times B_2) \subset (A_1 \cup A_2) \times (B_1 \cup B_2)
\]
By \autoref{proposition:set-ideal-fundamental-criterion}, there exists an ideal $\sigma \otimes \tau$ such that $\beta$ is fundamental with respect to $\sigma \otimes \tau$.
\end{proof}