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moved proof of Morera's thm immediately after the statement of Morera…
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…'s thm. Made minor edits to proof of Morera's and Goursat's thm for clarity.
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MareoRaft committed Dec 27, 2017
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58 changes: 29 additions & 29 deletions Complex Analysis/complex-analysis-notes.tex
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Expand Up @@ -861,25 +861,8 @@ \subsection{Linear Fractional Transformations}
\begin{thm}[Morera's Theorem]
If $f$ is a continuous complex function on $D$ and
$\oint_{\partial R} f(z)dz = 0$ for any rectangle with horizontal
and vertical sides entirely in $D$, then $f$ is analytic.
and vertical sides contained in $D$, then $f$ is analytic.
\end{thm}
This theorem provides a method for dealing with complex functions
where it is not assumed the real and imaginary parts are
differentiable and is a generalization of the idea that $f(z)dz$ is
closed if and only if $f$ is analytic.
\begin{thm}[Liouville's Theorem for Harmonic Functions]
If $u$ is harmonic on $\R^2$ and bounded above by $M$, then $u$ is
constant.
\end{thm}
\begin{proof}
The strategy of this proof is to relate $u$ to an entire function
whose modulus is related to $u$. Since $u$ is harmonic, it has a
harmonic conjugate $v$. Then, $u+iv$ is entire and so is
$e^{u+iv}$. However, $|e^{u+iv}| = e^u \leq e^M$. Thus, by
Liouville's theorem, $e^{u+iv}$ is constant so $e^u$ is constant
and thus $u$ is constant.
\end{proof}
\section{(9/29/2016) Morera's Theorem}
We now provide a proof of Morera's theorem. A historical side note:
Morera was considering $\int f(z)dz = 0$ for closed curves.
\begin{proof}
Expand All @@ -905,9 +888,25 @@ \subsection{Linear Fractional Transformations}
F(z+\Delta z) - F(z) = f(z) \Delta z + o(|\Delta z|).
\]
Thus, it is differentiable at $z$ with derivative $f(z)$, which we
assumed to be continuous. So, $F$ is analytic on $D$ and we know
assumed to be continuous. So, $F$ is analytic on $D$ and therefore
$f = F'$ is also analytic on $D$.
\end{proof}
This theorem provides a method for dealing with complex functions
where it is not assumed the real and imaginary parts are
differentiable and is a generalization of the idea that $f(z)dz$ is
closed if and only if $f$ is analytic.
\begin{thm}[Liouville's Theorem for Harmonic Functions]
If $u$ is harmonic on $\R^2$ and bounded above by $M$, then $u$ is
constant.
\end{thm}
\begin{proof}
The strategy of this proof is to relate $u$ to an entire function
whose modulus is related to $u$. Since $u$ is harmonic, it has a
harmonic conjugate $v$. Then, $u+iv$ is entire and so is
$e^{u+iv}$. However, $|e^{u+iv}| = e^u \leq e^M$. Thus, by
Liouville's theorem, $e^{u+iv}$ is constant so $e^u$ is constant
and thus $u$ is constant.
\end{proof}
This allows us to move on to Goursat's theorem, which allows us to
drop from the definition of analytic the requirement that the
derivatives be continuous.
Expand All @@ -919,28 +918,28 @@ \subsection{Linear Fractional Transformations}
For this proof, we will use Morera's theorem, showing that
$\int_{\partial R} f(z)dz = 0$ for a rectangle entirely contained
in the domain. Write $\int_{\partial R}$ as a sum of 4
sub-rectangles. One of these subrectangles, let us call it $R_1$,
congruent subrectangles. One of these subrectangles, let us call it $R_1$,
has \[
\left|
\int_{\partial R_1}
\right| \geq
\frac{1}{4}\left|
\int_{\partial R}
\right| \leq
4\left|
\int_{\partial R_1}
\right|.
\]
Now iterate the process by choosing subrectangles that each have
their integrals as $\frac{1}{4}$th their containing rectangle so that \[
the magnitude of their integrals at least $\frac{1}{4}$th their containing rectangle so that \[
\left|
\int_{\partial R_n}
\right| \geq
\frac{1}{4^n}\left|
\int_{\partial R}
\right| \leq
4^n\left|
\int_{\partial R_n}
\right|.
\]
The intersection of $R_n$ with the interiors is a point $z_0 \in
D$. Using the existence of $f'(z_0)$, we get that \[
\int_{R_n} f(z)dz = \int_{R_n} [f(z_0) + f'(z_0)(z-z_0)]dz +
\int_{R_n} [f(z) - (f(z_0) + f'(z_0)(z-z_0))]dz.
\int_{\bdy R_n} f(z)dz = \int_{\bdy R_n} [f(z_0) + f'(z_0)(z-z_0)]dz +
\int_{\bdy R_n} [f(z) - (f(z_0) + f'(z_0)(z-z_0))]dz.
\]
However, the first integral is 0 since the integrand is analytic
and we can apply an ML-estimate to the second integral. Let $L =
Expand Down Expand Up @@ -984,6 +983,7 @@ \section{(10/6/2016) Lecture 13}
\right)
\end{align*}
\end{defn}
(In fact, $\frac{\partial}{\partial z} = a \frac{\partial}{\partial x} - i b \frac{\partial}{\partial y}$ as long as $a + b = 1$. This immediately tells us that for any analytic function $f$, $f_z = f_x = -i f_y$. However, $\frac{\partial}{\partial \ov{z}} = \frac12 \frac{\partial}{\partial x} + i \frac12 \frac{\partial}{\partial y}$ is the ONLY correct choice for $\frac{\partial}{\partial \ov{z}}$.)
Why does this make sense? To answer this, let us answer the question
of what does it mean for $\frac{\partial f}{\partial \ov{z}} =
0$? \[
Expand Down

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