Added the principal logarithm.

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Bokuan Li
2026-05-11 16:11:33 -04:00
parent 538a02ba37
commit 4ba2e76b44
11 changed files with 180 additions and 1 deletions

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\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}

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src/dg/complex/index.tex Normal file
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\chapter{Complex Analysis}
\label{chap:complex-analysis}
\input{./derivative.tex}
\input{./log.tex}

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src/dg/complex/log.tex Normal file
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\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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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}
\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]
\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.

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

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\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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\label{part:diffgeo}
\input{./derivative/index.tex}
\input{./complex/index.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} \\
$D_\sigma^n f$ & $n$-fold $\sigma$-derivative. & \autoref{definition:n-differentiable-sets} \\
$D_\sigma^n(U; F)$ & $n$-fold $\sigma$-differentiable functions. & \autoref{definition:differentiable-space} \\
$\tilde D_\sigma^n(U; F)$ & $n$-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} \\
$x^{(k)}$ & Tuple of $x$ repeated $k$ times. & \autoref{theorem:taylor-peano} \\
$D^+f(x)$ & Right derivative of $f$ at $x$. & \autoref{definition:right-differentiable-mvt}

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$\sigma(\mathcal{E})$ & $\sigma$-algebra generated by $\mathcal{E}$. & \autoref{definition:generated-sigma-algebra} \\
$\lambda(\mathcal{E})$ & $\lambda$-system generated by $\mathcal{E}$. & \autoref{definition:generated-lambda-system} \\
$\sigma \otimes \tau$ & Product of ideals. & \autoref{definition:product-ideal} \\
% ---- Measure Theory ----
$\mathcal{B}_X$ & 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} \\

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(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}
\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}