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@@ -37,7 +37,7 @@ Some of the topics covered here are basic arithmetic of complex numbers, complex
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Riemann surfaces, limits, derivatives, domain coloring, analytic landscapes and
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some applications of conformal mappings.
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What distinguishes this online book from other traditional texts in the first instance is the use of interactive applets that allow you to explore properties of complex numbers geometrically and analyze complex functions by using different techniques to visualize them. For the design of applets I used the following open-source softwares: [GeoGebra](https://geogebra.org/), [p5.js](https://p5js.org/), [Cindy.js](https://cindyjs.org/) and [MathCell](http://mathcell.org/).
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What distinguishes this online book from other traditional texts in the first instance is the use of interactive applets that allow you to explore properties of complex numbers geometrically and analyze complex functions by using different techniques to visualize them. For the design of applets I used the following open-source software: [GeoGebra](https://geogebra.org/), [p5.js](https://p5js.org/), [Cindy.js](https://cindyjs.org/) and [MathCell](http://mathcell.org/).
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Although I advocate for the use of computers as an aid to geometric reasoning,
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I highly encourage you to practice your problem solving skills by solving
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to check existing ideas about our world, or as a tool to discover new phenomena
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which then poses new ideas or challenges for their explanation.
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Throughout the sections I have provided detailed instructions (in some cases)
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to explore concepts and relationships about complex numbers using specific softwares,
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to explore concepts and relationships about complex numbers using specific software,
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nevertheless you must still keep in mind that computer hardware and software
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are ephemeral things in comparison with mathematical ideas, which are timeless.
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respectively. Then, if we keep in mind how the triangle $\Delta_1$ was constructed,
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it is a straightforward problem in similar triangles to show that
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$L_1$ is related to $L$ by $L_1=\dfrac{1}{2}L.$ Likewise,
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if $L_2$ is the legth of $\Delta_2,$ then $L_2=\dfrac{1}{2}L_1 = \dfrac{1}{2^2}L.$
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if $L_2$ is the length of $\Delta_2,$ then $L_2=\dfrac{1}{2}L_1 = \dfrac{1}{2^2}L.$
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In general we have that if $L_n$ is the length of $\Delta_n,$ then
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$L_n= \dfrac{1}{2^n}L.$
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</p>
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<figure>
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<imgsrc="../images/chp04/cauchy-theorem-final-proof.gif" alt="Approximation by polygonal path" title="Approximation by polygonal path" style="width:550px;">
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<figcaption>
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The countour $C$ is approximated by a polygonal contour $P.$
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The contour $C$ is approximated by a polygonal contour $P.$
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</figcaption>
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</figure>
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<p>
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<em>Proof of Cauchy-Goursat Theorem.</em>
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Consider a simple closed contour $C$ and $n$ points $z_1, z_2, \ldots, z_n$
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on $C$ through wich a polygonal path $P$ has been constructed.
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on $C$ through which a polygonal path $P$ has been constructed.
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