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		<title>reveal.js - The HTML Presentation Framework</title>

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				<section>
					<h1>Reveal.js Math Plugin</h1>
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				<section>
					<h2>The Lorenz Equations</h2>
					\[\begin{aligned}
					\dot{x} &amp; = \sigma(y-x) \\
					\dot{y} &amp; = \rho x - y - xz \\
					\dot{z} &amp; = -\beta z + xy
					\end{aligned} \]
				</section>

				<section>
					<h2>The Cauchy-Schwarz Inequality</h2>

					\[ \left( \sum_{k=1}^n a_k b_k \right)^2 \leq \left( \sum_{k=1}^n a_k^2 \right) \left( \sum_{k=1}^n b_k^2 \right) \]
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				<section>
					<h2>A Cross Product Formula</h2>

					\[\mathbf{V}_1 \times \mathbf{V}_2 =  \begin{vmatrix}
					\mathbf{i} &amp; \mathbf{j} &amp; \mathbf{k} \\
					\frac{\partial X}{\partial u} &amp;  \frac{\partial Y}{\partial u} &amp; 0 \\
					\frac{\partial X}{\partial v} &amp;  \frac{\partial Y}{\partial v} &amp; 0
					\end{vmatrix}  \]
				</section>

				<section>
					<h2>An Identity of Ramanujan</h2>

					\[ \frac{1}{\Bigl(\sqrt{\phi \sqrt{5}}-\phi\Bigr) e^{\frac25 \pi}} =
					1+\frac{e^{-2\pi}} {1+\frac{e^{-4\pi}} {1+\frac{e^{-6\pi}}
					{1+\frac{e^{-8\pi}} {1+\ldots} } } } \]
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