





<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Durofy &#187; fourier series</title>
	<atom:link href="http://www.durofy.com/tag/fourier-series/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.durofy.com</link>
	<description>Engineering &#38; Technology Tutorials</description>
	<lastBuildDate>Sat, 05 May 2012 02:06:00 +0000</lastBuildDate>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.3.1</generator>
		<item>
		<title>Harmonic Analysis</title>
		<link>http://www.durofy.com/mathematics/harmonic-analysis/</link>
		<comments>http://www.durofy.com/mathematics/harmonic-analysis/#comments</comments>
		<pubDate>Mon, 24 Aug 2009 03:54:19 +0000</pubDate>
		<dc:creator>Rishabh Dev</dc:creator>
				<category><![CDATA[Mathematics]]></category>
		<category><![CDATA[fourier expansion]]></category>
		<category><![CDATA[fourier harmonic analysis]]></category>
		<category><![CDATA[fourier series]]></category>
		<category><![CDATA[harmonic analysis]]></category>
		<category><![CDATA[harmonic expansion]]></category>
		<category><![CDATA[harmonics]]></category>

		<guid isPermaLink="false">http://zarrata.com/durofy/?p=142</guid>
		<description><![CDATA[Harmonics formed on waves are generated as component frequencies of a fundamental frequency of the wave. The fundamental &#38; the higher frequencies(harmonics) generate periodic signals from the original wave. And every periodic signal can be written as a sum of the variuos harmonics using the Fourier series. Hence, to find the various harmonics using the [...]]]></description>
			<content:encoded><![CDATA[<p>Harmonics formed on waves are generated as component frequencies of a fundamental frequency of the wave.</p>
<blockquote><p>The fundamental &amp; the higher frequencies(harmonics) generate periodic signals from the original wave. And every periodic signal can be written as a sum of the variuos harmonics using the Fourier series.</p></blockquote>
<p style="text-align: center;"><img class="aligncenter" src="https://lh6.googleusercontent.com/-Ivv1_F8cldw/T1QxjPrFP2I/AAAAAAAAAls/n3u5ICPFQyI/s577/math1.png" alt="fourier_harmonics"></p>
<p>Hence, to find the various harmonics using the fourier series, we can use...</p>
<p><strong>nth harmonic : (a</strong><sub><strong>n</strong></sub><strong>cosx+b</strong><sub><strong>n</strong></sub><strong>sinx)</strong></p>
<p>where,</p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20a_{n}=\frac{2}{p}\sum_{i=1}^{p}y_{i}cos(nx_{i})" alt="" /></p>
<p>&amp;</p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20b_{n}=\frac{2}{p}\sum_{i=1}^{p}y_{i}sin(nx_{i})" alt="" /></p>
<p>where p is the number of unique values of the function y. The following example will make things a bit more clear...</p>
<p>Example : y is a function of x periodic with period 2pi. Some experimental values of y are given below calculated for certain values of x. Expand y to 2 harmonics.</p>
<p style="text-align: center;"><img class="aligncenter" src="https://lh5.googleusercontent.com/-fHOoaQ4Si3w/T1Qxjn9-dJI/AAAAAAAAAlo/coOaH1sAEHg/s463/math2.png" alt="harmonic_example" /></p>
<p>Solution :</p>
<p>Clearly, in the above, <strong>p=6</strong>,</p>
<p>&amp; We simply need to find:</p>
<p><strong>1st harmonic + 2nd harmonic = (a</strong><sub><strong>1</strong></sub><strong>cosx+b</strong><sub><strong>1</strong></sub><strong>sinx) + (a</strong><sub><strong>2</strong></sub><strong>cos2x+b</strong><sub><strong>2</strong></sub><strong>sin2x)</strong></p>
<p>So, all we need is <strong>a</strong><sub><strong>1</strong></sub><strong>, b</strong><sub><strong>1</strong></sub><strong>, a</strong><sub><strong>2</strong></sub><strong> &amp;<br />
b</strong><sub><strong>2</strong></sub></p>
<p>for which we use the formula mentioned above:</p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20a_{1}=\frac{2}{p}\sum_{i=1}^{p}y_{i}cos(x_{i})" alt="" /></p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20b_{1}=\frac{2}{p}\sum_{i=1}^{p}y_{i}sin(x_{i})" alt="" /></p>
<p>&amp;</p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20a_{2}=\frac{2}{p}\sum_{i=1}^{p}y_{i}cos(2x_{i})" alt="" /></p>
<p><img src="http://latex.codecogs.com/gif.latex?\120dpi%20\large%20b_{2}=\frac{2}{p}\sum_{i=1}^{p}y_{i}sin(2x_{i})" alt="" /></p>
<p>where <strong>x</strong><sub><strong>i</strong></sub>=0, 60, 120... &amp; so on.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.durofy.com/mathematics/harmonic-analysis/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Fourier Series for an Arbitary Interval</title>
		<link>http://www.durofy.com/mathematics/fourier-series-arbitary-interval/</link>
		<comments>http://www.durofy.com/mathematics/fourier-series-arbitary-interval/#comments</comments>
		<pubDate>Mon, 17 Aug 2009 14:36:55 +0000</pubDate>
		<dc:creator>Rishabh Dev</dc:creator>
				<category><![CDATA[Mathematics]]></category>
		<category><![CDATA[arbitary interval]]></category>
		<category><![CDATA[fourier expansion]]></category>
		<category><![CDATA[fourier series]]></category>
		<category><![CDATA[periodic functions]]></category>

		<guid isPermaLink="false">http://zarrata.com/durofy/?p=97</guid>
		<description><![CDATA[In the previous post on Fourier Series, we looked at functions periodic with period 2pi. Now, we'll take a look at Fourier series for functions having an arbitary period, lets say, some period 2L. The general formulas we would need for finding the Fourier series are as follows... The Series: The Constants: These apply when [...]]]></description>
			<content:encoded><![CDATA[<p>In the <a href="http://www.durofy.com/mathematics/the-fourier-series-an-introduction/">previous post</a> on Fourier Series, we looked at functions periodic with period 2pi. Now, we'll take a look at Fourier series for functions having an arbitary period, lets say, some period 2L.</p>
<p>The general formulas we would need for finding the Fourier series are as follows...</p>
<p>The Series:</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\large%20f(x)=\frac{a_{0}}{2}+\sum_{n=1}^{\infty%20}(a_{n}cos\frac{n\pi%20x}{l}+b_{n}sin\frac{n\pi%20x}{l})"></p>
<p>The Constants:</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\large%20a_{0}=\frac{1}{L}\int_{-L}^{L}f(x)dx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\large%20a_{n}=\frac{1}{L}\int_{-L}^{L}f(x)cos\frac{n\pi%20x}{L}dx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\large%20b_{n}=\frac{1}{L}\int_{-L}^{L}f(x)sin\frac{n\pi%20x}{L}dx"></p>
<p>These apply when the period given in the question are [-L, L]. We would modify the limits of integration in the above depending on the given interval.</p>
<p>Further, for functions periodic with a period 2pi, we only need to put L=pi in the above formulas. You can find those formula <a href="http://www.durofy.com/mathematics/the-fourier-series-an-introduction/">here</a>.</p>
]]></content:encoded>
			<wfw:commentRss>http://www.durofy.com/mathematics/fourier-series-arbitary-interval/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>The Fourier Series - Introduction &amp; Example</title>
		<link>http://www.durofy.com/mathematics/the-fourier-series-an-introduction/</link>
		<comments>http://www.durofy.com/mathematics/the-fourier-series-an-introduction/#comments</comments>
		<pubDate>Thu, 06 Aug 2009 11:06:47 +0000</pubDate>
		<dc:creator>Rishabh Dev</dc:creator>
				<category><![CDATA[Mathematics]]></category>
		<category><![CDATA[euler's formula]]></category>
		<category><![CDATA[finding fourier series]]></category>
		<category><![CDATA[fourier coefficient]]></category>
		<category><![CDATA[fourier expansion]]></category>
		<category><![CDATA[fourier series]]></category>
		<category><![CDATA[fourier series example]]></category>
		<category><![CDATA[fourier series solved example]]></category>

		<guid isPermaLink="false">http://zarrata.com/durofy/?p=31</guid>
		<description><![CDATA[One of the equations you would come across during higher studies would be the heat equation. Its another partial differential equation which we can solve using something called the Fourier series... Thanks to Joseph Fourier who introduced this series for the same purpose. Using the Fourier Series, we simply decompose a particular real-valued function into [...]]]></description>
			<content:encoded><![CDATA[<p>One of the equations you would come across during higher studies would be the heat equation. Its another partial differential equation which we can solve using something called the Fourier series... Thanks to <em>Joseph Fourier</em> who introduced this series for the same purpose.</p>
<p>Using the Fourier Series, we simply decompose a particular <em>real-valued function</em> into terms containing the sine &#038; cosine functions.</p>
<p>This function, lets say f(x) is taken to be periodic with a <strong>period 2pi</strong>. We could further extent the definition of the Fourier Series for functions with arbitrary periods.</p>
<p>The Fourier Series of a function f(x) could we written down as...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\large%20f(x)=\frac{a_{0}}{2}+%20\sum_{n=1}^{\infty%20}(a_{n}cosnx+b_{n}sinnx)"></p>
<p>In the above decomposition, <img src="http://latex.codecogs.com/gif.latex?\120dpi%20\inline%20\large%20a_{0},a_{n},b_{n}"> are called Fourier Coefficients or Euler's Coefficients.</p>
<p>The former because they appear in the Fourier Series &#038; the latter because we obtain their values using the Euler's Formula.</p>
<p>Now the Euler's Formula gives the the values of the Euler's coefficients &#038; for a function with period 2pi, we have...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20a_{0}=\frac{1}{\Pi }\int_{c}^{c+2\Pi%20}f(x)dx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20a_{n}=\frac{1}{\Pi }\int_{c}^{c+2\Pi%20}f(x)cosnxdx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20b_{n}=\frac{1}{\Pi }\int_{c}^{c+2\Pi%20}f(x)sinnxdx"></p>
<p>Now, once you know the values of the coefficients(which would come out to be functions of n) you could find out the complete sum &#038; hence, the complete Fourier series of the function f(x).</p>
<p>The value of 'c' here would depend on the interval specified with the function f(x).</p>
<p>For example, Lets say we have a function,</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20f(x)=1+x"></p>
<p>on the interval...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20[-\pi%20,%20\pi%20]"></p>
<p>We have here a simple saw tooth function which we've made periodic with a period 2pi.</p>
<p>To start with, we have the interval correpsonding to c to c+2pi which gives c=-pi.</p>
<p>Hence, the values of the coefficients would now be given by...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20a_{0}=\frac{1}{\Pi }\int_{-\Pi%20}^{\Pi%20}(1+x)dx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20a_{n}=\frac{1}{\Pi }\int_{-\Pi%20}^{\Pi%20}(1+x)cosnxdx"></p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20b_{n}=\frac{1}{\Pi }\int_{-\Pi%20}^{\Pi%20}(1+x)sinnxdx"></p>
<p>Hence, on integration we obtain...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20a_{0}=2,%20a_{n}=0,%20b_{n}=\frac{2(-1)^{n+1}}{n}"></p>
<p>This would generate the following Fourier series for our function f(x)...</p>
<p><img src="http://latex.codecogs.com/gif.latex?\150dpi%20\inline%20\large%20f(x)=1+\sum_{n=1}^{\infty%20}\frac{2(-1)^{n+1}}{n}sinnx"></p>
]]></content:encoded>
			<wfw:commentRss>http://www.durofy.com/mathematics/the-fourier-series-an-introduction/feed/</wfw:commentRss>
		<slash:comments>2</slash:comments>
		</item>
	</channel>
</rss>

