<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" version="2.0">
  <channel>
    <title>MaplePrimes - Maplesoft Blog - Posts by Dr. Erik Postma</title>
    <link>http://www.mapleprimes.com/maplesoftblog/contributors/epostma</link>
    <language>en-us</language>
    <copyright>2026 Maplesoft, A Division of Waterloo Maple Inc.</copyright>
    <generator>Maplesoft Document System</generator>
    <lastBuildDate>Sat, 13 Jun 2026 23:17:09 GMT</lastBuildDate>
    <pubDate>Sat, 13 Jun 2026 23:17:09 GMT</pubDate>
    <itunes:subtitle />
    <itunes:summary />
    <description>The latest posts on the Maplesoft Blog by Dr. Erik Postma</description>
    <image>
      <url>94808_erik.jpeg</url>
      <title>MaplePrimes - Maplesoft Blog - Posts by Dr. Erik Postma</title>
      <link>http://www.mapleprimes.com/maplesoftblog/contributors/epostma</link>
    </image>
    <item>
      <title>Teaching group theory with GroupTheory</title>
      <link>http://www.mapleprimes.com/maplesoftblog/228901-Teaching-Group-Theory-With-GroupTheory?ref=Feed:MaplePrimes:Maplesoft%20Blog:Member</link>
      <itunes:summary>&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="A4FEFFF4A20F724FF0A9B0AF42E34CAA"&gt;
&lt;table align="center" width="768"&gt;
	&lt;tbody&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p align="left" style="margin:0 0 0 0; padding-top:8px; padding-bottom:4px"&gt;&amp;nbsp;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;For Maple 17, in 2013, we introduced the &lt;/span&gt;&lt;img alt="GroupTheory" height="23" src="/view.aspx?sf=228901_post/39e68bf8824e1f71449d43094f33a14a.gif" style="vertical-align:-6px" width="87"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package. It has seen a lot of improvements since its introduction, and I figured I would write something about how you can use it to teach a group theory course.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;First of all, I think it would be a great idea to have your students just play with the &lt;/span&gt;&lt;img alt="GroupTheory" height="23" src="/view.aspx?sf=228901_post/1689f270fe83ee665c8039d2ff7cf0d9.gif" style="vertical-align:-6px" width="87"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package in Maple, and get some intuition for what makes group theory tick by getting their hands dirty. But that is not what I want to talk about today. Instead, I want to discuss how you might use it for giving your lectures - to show some visualizations while you show your &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;beamer&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;presentation or write on the black- or whiteboard.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;When starting out with the definition of a group, you might want to compare the Cayley table of a group with that of a binary operation that doesn&amp;#39;t define a group. A set with any binary operation is called a &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;magma&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;;&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;to find good examples, we might want to use one group; one magma that has an identity and is associative but not invertible; and one magma that is has an identity and is invertible but not associative. Maybe we also want the group to not be cyclic (so the group order will have to not be prime), because those Cayley tables look a little boring. For this we can use the &lt;/span&gt;&lt;img alt="Magma" height="23" src="/view.aspx?sf=228901_post/96eac1c8b363cfe3ac60c24412518af3.gif" style="vertical-align:-6px" width="51"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;We note that a magma that is invertible and has an identity element is called a &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;loop&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;. We can enumerate all magmas of a given order and with certain properties using the command &lt;/span&gt;&lt;img alt="Magma:-Enumerate" height="23" src="/view.aspx?sf=228901_post/0c6fbd5163b2479a77c9f05d80084966.gif" style="vertical-align:-6px" width="125"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, finding either the &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;number&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;of such objects (by default) or a list of the multiplication tables (with the &lt;/span&gt;&lt;img alt="output = list" height="23" src="/view.aspx?sf=228901_post/07a56ebe9a3b572555852d8fb4fe008f.gif" style="vertical-align:-6px" width="76"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;option). Can we find interesting examples of order 4?&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(Magma)" height="23" src="/view.aspx?sf=228901_post/e6d352061a1877bc3df44ef0b0bf2ed6.gif" style="vertical-align:-6px" width="102"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(4, group), Enumerate(4, loop), Enumerate(4, associative, identity)" height="23" src="/view.aspx?sf=228901_post/fcf31470f9807a6c2573964b8f364911.gif" style="vertical-align:-6px" width="479"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2, 2, 35" height="23" src="/view.aspx?sf=228901_post/e5cf505beca64d9c2e1a3b8fa7564af6.gif" style="vertical-align:-6px" width="49"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(1)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;No: all loops of order 4 are groups. Let&amp;#39;s try order 6.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, group), Enumerate(6, loop), Enumerate(6, associative, identity)" height="23" src="/view.aspx?sf=228901_post/e527edd60ed31437afdbf7ce7b1c4df6.gif" style="vertical-align:-6px" width="479"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2, 109, 2237" height="23" src="/view.aspx?sf=228901_post/a9d40747feb7dd1db420b969d50b5540.gif" style="vertical-align:-6px" width="79"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(2)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Yes, we can find examples here. We find the Cayley tables of three suitable magmas; we call the non-cyclic group one &lt;/span&gt;&lt;img alt="m1" height="23" src="/view.aspx?sf=228901_post/efb807fb1697723575ae6390dcfc695a.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, the non-associative loop one &lt;/span&gt;&lt;img alt="m2" height="23" src="/view.aspx?sf=228901_post/2f48c1841d56dce20ab3899891ab792d.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, and the non-invertible magma &lt;/span&gt;&lt;img alt="m3" height="23" src="/view.aspx?sf=228901_post/b220226a7dcd3ea37f6a9da243004f14.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, group, output = list)" height="23" src="/view.aspx?sf=228901_post/c4ca380e8fe47c7bbaabf05ab05e91c6.gif" style="vertical-align:-6px" width="219"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;m1 := ?[2]:&amp;quot;" height="23" src="/view.aspx?sf=228901_post/5039cdbaf5c9496d024fad77a33048b4.gif" style="vertical-align:-6px" width="97"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, loop, output = list)[1 .. 5]" height="23" src="/view.aspx?sf=228901_post/a3405697b18a7f71055b37b83e811e19.gif" style="vertical-align:-6px" width="247"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;m2 := ?[2]:&amp;quot;" height="23" src="/view.aspx?sf=228901_post/84ae970bce1cb2e22e22e6e90aa6a6ee.gif" style="vertical-align:-6px" width="97"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, associative, identity, output = list)[1 .. 5]" height="23" src="/view.aspx?sf=228901_post/aae86cf92e2e7dd777aa89c068b14ac0.gif" style="vertical-align:-6px" width="337"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Most of these appear to have many more of one value than of another (e.g., many more threes). Let&amp;#39;s find one where that is not so extreme. For example, we might want to minimize the standard deviation of the frequencies of the values occurring in the Cayley table.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="lst := Enumerate(6, associative, identity, output = list)" height="23" src="/view.aspx?sf=228901_post/a37663e95daf4c4588718eceec80a49d.gif" style="vertical-align:-6px" width="342"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="lst := remove(IsLeftInvertible, lst)" height="23" src="/view.aspx?sf=228901_post/e631a5c8f0ed7312c263a2d9c0824cd2.gif" style="vertical-align:-6px" width="226"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="numelems(lst)" height="23" src="/view.aspx?sf=228901_post/73b309b065b08478d9f34446115c01e2.gif" style="vertical-align:-6px" width="93"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2235" height="23" src="/view.aspx?sf=228901_post/45b94d58ca6f61a988238a499ccf8dde.gif" style="vertical-align:-6px" width="36"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="frequencies := map(proc (m) options operator, arrow; map2(numboccur, m, [seq(1 .. 6)]) end proc, lst)" height="23" src="/view.aspx?sf=228901_post/b4d472e8d7157adef7acb5cb7ef5b055.gif" style="vertical-align:-6px" width="409"&gt;&lt;img alt="``" height="23" src="/view.aspx?sf=228901_post/5b79c9aa1ed3c0cbaf2ca7c3ae323a87.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(Statistics)" height="23" src="/view.aspx?sf=228901_post/1894e9427118b7daede146d21d649566.gif" style="vertical-align:-6px" width="111"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="sds := map(StandardDeviation, convert(frequencies, 'set'))" height="23" src="/view.aspx?sf=228901_post/86b9d2e2c1e168951fe3beb711ec84ac.gif" style="vertical-align:-6px" width="372"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{HFloat(2.449489742783178), HFloat(3.0983866769659336), HFloat(3.1622776601683795), HFloat(3.22490309931942), HFloat(3.286335345030997), HFloat(3.3466401061363027), HFloat(3.4058772731852804), HFloat(3.4641016151377544), HFloat(3.464101615137755), HFloat(3.521363372331802), HFloat(3.5213633723318023), HFloat(3.5777087639996634), HFloat(3.6331804249169903), HFloat(3.687817782917155), HFloat(3.7416573867739413), HFloat(3.794733192202055), HFloat(3.8470768123342687), HFloat(3.847076812334269), HFloat(3.898717737923586), HFloat(3.9496835316262997), HFloat(3.9496835316263), HFloat(3.9999999999999996), HFloat(4.0), HFloat(4.049691346263318), HFloat(4.09878030638384), HFloat(4.147288270665544), HFloat(4.195235392680606), HFloat(4.1952353926806065), HFloat(4.2895221179054435), HFloat(4.33589667773576), HFloat(4.3817804600413295), HFloat(4.427188724235731), HFloat(4.47213595499958), HFloat(4.5166359162544865), HFloat(4.560701700396552), HFloat(4.604345773288535), HFloat(4.604345773288536), HFloat(4.6475800154489), HFloat(4.69041575982343), HFloat(4.732863826479693), HFloat(4.774934554525329), HFloat(4.77493455452533), HFloat(4.8166378315169185), HFloat(4.857983120596447), HFloat(4.898979485566356), HFloat(4.9396356140913875), HFloat(4.939635614091388), HFloat(4.979959839195493), HFloat(5.019960159204453), HFloat(5.059644256269407), HFloat(5.0990195135927845), HFloat(5.138093031466052), HFloat(5.176871642217914), HFloat(5.215361924162119), HFloat(5.253570214625479), HFloat(5.291502622129181), HFloat(5.329165037789691), HFloat(5.366563145999495), HFloat(5.403702434442518), HFloat(5.440588203494177), HFloat(5.477225575051661), HFloat(5.513619500836089), HFloat(5.549774770204643), HFloat(5.585696017507577), HFloat(5.621387729022079), HFloat(5.656854249492381), HFloat(5.692099788303083), HFloat(5.727128425310542), HFloat(5.761944116355173), HFloat(5.796550698475776), HFloat(5.830951894845301), HFloat(5.865151319446072), HFloat(5.8991524815010505), HFloat(5.93295878967653), HFloat(5.932958789676531), HFloat(5.966573556070519), HFloat(6.0), HFloat(6.0332412515993425), HFloat(6.066300355241241), HFloat(6.066300355241242), HFloat(6.099180272790763), HFloat(6.131883886702357), HFloat(6.164414002968976), HFloat(6.196773353931867), HFloat(6.228964600958975), HFloat(6.260990336999411), HFloat(6.29285308902091), HFloat(6.324555320336759), HFloat(6.356099432828282), HFloat(6.418722614352485), HFloat(6.48074069840786), HFloat(6.511528238439883), HFloat(6.542170893518451), HFloat(6.572670690061994), HFloat(6.603029607687671), HFloat(6.603029607687672), HFloat(6.6332495807108), HFloat(6.663332499583073), HFloat(6.6932802122726045), HFloat(6.693280212272605), HFloat(6.723094525588644), HFloat(6.723094525588645), HFloat(6.752777206453653), HFloat(6.782329983125268), HFloat(6.811754546370561), HFloat(6.928203230275509), HFloat(6.957010852370435), HFloat(6.985699678629192), HFloat(7.014271166700073), HFloat(7.042726744663604), HFloat(7.0710678118654755), HFloat(7.127411872482185), HFloat(7.155417527999327), HFloat(7.183313998427188), HFloat(7.18331399842719), HFloat(7.293833011524188), HFloat(7.429670248402684), HFloat(7.4565407529228995), HFloat(7.4565407529229), HFloat(7.483314773547883), HFloat(7.536577472566709), HFloat(7.53657747256671), HFloat(7.563068160475615), HFloat(7.64198926981712), HFloat(7.77174369109018), HFloat(7.8993670632526), HFloat(7.92464510246358), HFloat(7.9498427657407165), HFloat(8.024961059095553), HFloat(8.12403840463596), HFloat(8.366600265340756), HFloat(8.390470785361211), HFloat(8.390470785361213), HFloat(8.414273587185052), HFloat(8.438009243891594), HFloat(8.508818954473059), HFloat(8.854377448471462), HFloat(8.87693640846886), HFloat(8.921883209278185), HFloat(9.338094023943), HFloat(9.338094023943002), HFloat(9.359487165438072), HFloat(9.81835016690686), HFloat(9.818350166906862), HFloat(10.295630140987)}" height="499" src="/view.aspx?sf=228901_post/5967d5d9fb69be9235b5762088db8035.gif" style="vertical-align:-482px" width="738"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Aha, the smallest standard deviation is a bit under two and a half, and the next possible value is greater than 3. Let&amp;#39;s examine the Cayley tables that show this standard deviation.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/f84b88c7a11f63b976b5917627f76cee.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="small_sd_index := select(proc (i) options operator, arrow; StandardDeviation(frequencies[i]) &amp;lt; 3 end proc, [seq(1 .. numelems(frequencies))])" height="23" src="/view.aspx?sf=228901_post/50115a2ac8ffaa986d51110d2e0ed0c6.gif" style="vertical-align:-6px" width="665"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="[1636, 1638, 2234, 2235]" height="23" src="/view.aspx?sf=228901_post/6aad42b86fe8467eaca50b563e20d9ba.gif" style="vertical-align:-6px" width="279"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="small_sd := lst[small_sd_index]" height="23" src="/view.aspx?sf=228901_post/6c6995c981389f7bce9d56812dadbc5f.gif" style="vertical-align:-6px" width="211"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(9)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;The last of these looks interesting.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="m3 := small_sd[-1]" height="23" src="/view.aspx?sf=228901_post/fc6dd8eae3db398abbcb398778c84f92.gif" style="vertical-align:-6px" width="143"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/290a971c4ec7bf9fbc3492ae87e5aa0d.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Now we can display these three Cayley tables:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="CayleyColorTable(m1); CayleyColorTable(m2); CayleyColorTable(m3)" height="6" src="/view.aspx?sf=228901_post/3c36f4bf05169b61b64fe30882d45f4e.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

			&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;It&amp;#39;s clear that the multiplication shown in the third Cayley table is not invertible (because multiplying by any element other than 1, on either side, is not a permutation of the elements: rows and columns beyond the first don&amp;#39;t have all colors). It&amp;#39;s less visually obvious that the second Cayley table doesn&amp;#39;t show an associative multiplication, but a quick loop showed that &lt;/span&gt;&lt;img alt="5*(3*3) = 5*5 and 5*5 = 4" height="23" src="/view.aspx?sf=228901_post/6472073dd90175d793e0612e10abfd56.gif" style="vertical-align:-6px" width="124"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;whereas &lt;/span&gt;&lt;img alt="3*(3*5) = 3 and 3 = 3" height="23" src="/view.aspx?sf=228901_post/0ae37f542c626f4c683edb9ad8983da5.gif" style="vertical-align:-6px" width="126"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;. I&amp;#39;m not sure if there is something real underpinning this, but to my mind this is a nice parallel to the fact that when you&amp;#39;re proving a set with a given operation is a group, it&amp;#39;s easier to show that there are inverses than that the operation is associative.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;A second nice visualization, also usable in the first week or two of a group theory course, is also named after Cayley: Cayley graphs. Here is a Cayley graph for the dihedral group &lt;/span&gt;&lt;img alt="D[3]" height="28" src="/view.aspx?sf=228901_post/c5df2a2c545637addb36cdc0cd5d55c4.gif" style="vertical-align:-11px" width="22"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;of order 6:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GroupTheory)" height="23" src="/view.aspx?sf=228901_post/340a0c67688d13d3cb5cc174276b8281.gif" style="vertical-align:-6px" width="138"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="D3 := DihedralGroup(3)" height="23" src="/view.aspx?sf=228901_post/1e4e44f1870cf1e09dc9c0a2549b6848.gif" style="vertical-align:-6px" width="170"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132248572811840" height="28" src="/view.aspx?sf=228901_post/8f96fb8fc9bb89056a2c7666a152d8e2.gif" style="vertical-align:-11px" width="66"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(10)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GraphTheory)" height="23" src="/view.aspx?sf=228901_post/2673503920cfe04f05902aaccb04e61e.gif" style="vertical-align:-6px" width="138"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawGraph(CayleyGraph(D3), layout = spring)" height="6" src="/view.aspx?sf=228901_post/21e2e5c543c5c43fa09efcfdda79920b.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/22f6d2ed6d0d261ab11540b4298e4b94.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/fccaca7d2c8c658c40aaca11e1c4e672.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Here is a well-known presentation of the alternating group on 4 letters. I find &amp;quot;grabbing and turning&amp;quot; the 3D plot shows the structure much better than simply an embedding of the graph in the plane.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="a4 := `&amp;lt;|&amp;gt;`(`&amp;lt;,&amp;gt;`(a, b), `&amp;lt;,&amp;gt;`(a^3, b^2, a.b.a = b.(a^2).b))" height="27" src="/view.aspx?sf=228901_post/379ad4769d9a08a1a9c526f1f324e589.gif" style="vertical-align:-6px" width="234"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132249105458016" height="27" src="/view.aspx?sf=228901_post/5c96e6d4c4b460f4ea624878d6e3f0e1.gif" style="vertical-align:-6px" width="225"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(11)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawGraph(CayleyGraph(a4), layout = spring, dimension = 3, size = [800, 800])" height="6" src="/view.aspx?sf=228901_post/c6f01f6fea65d0cd4c4a2fb37f6626de.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="768" src="/view.aspx?sf=228901_post/252c693d3812368b380c93ebad70c8f5.gif" style="border:none" width="768"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Another great opportunity for a visualization comes a couple of weeks later, when you talk about subgroup lattices. Here are a few examples:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GroupTheory)" height="23" src="/view.aspx?sf=228901_post/5fbdedcb0415879fbf51839c2f8dcac1.gif" style="vertical-align:-6px" width="138"&gt;&lt;img alt="``" height="23" src="/view.aspx?sf=228901_post/94422652cd8d31c9676dd36eb7a376a2.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="qd := QuasiDihedralGroup(2)" height="23" src="/view.aspx?sf=228901_post/8e500a9b252fbc6c94e82bff641b3964.gif" style="vertical-align:-6px" width="199"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132249751531168" height="28" src="/view.aspx?sf=228901_post/14070b1d88bbb74d86c753a59c06bbe7.gif" style="vertical-align:-11px" width="74"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(12)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="GroupOrder(qd)" height="23" src="/view.aspx?sf=228901_post/f4ab1396f05e26ac7ebc221fc0a3dd3c.gif" style="vertical-align:-6px" width="118"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="16" height="23" src="/view.aspx?sf=228901_post/fa55b60f2c44cf66e4f95418ee270592.gif" style="vertical-align:-6px" width="21"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(13)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, normal = false, center = false)" height="6" src="/view.aspx?sf=228901_post/db4a7d757df3b4c9eb3ebb7f27e8cfb4.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/0e420e7523c24ac75530b2e5d750a82f.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;This is the plain subgroup lattice. Note how the subgroups in the first and second nontrivial &amp;quot;layer&amp;quot; from the bottom are grouped by conjugacy class. The default visualization of a subgroup lattice highlights the centre in light blue and the (in this case six) other normal subgroups in green.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd)" height="6" src="/view.aspx?sf=228901_post/e0a404270e2fbcf107a4c7d3a7b05ed2.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/2feb994dcc4ca61e65c3ef3aa43d8894.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;We see that every conjugacy class of size one is a normal subgroup. We can also highlight other subgroups, if we want. Maybe we want to show which are the (cyclic) subgroups generated by one of the chosen generators:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="generators := Generators(qd)" height="23" src="/view.aspx?sf=228901_post/c3f7e73d81e105f759d0f9239ffd9f92.gif" style="vertical-align:-6px" width="199"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="[_m132249751506336, _m132249751509600]" height="23" src="/view.aspx?sf=228901_post/8bf6c785104c6b6b1c17c8943d80fabb.gif" style="vertical-align:-6px" width="340"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(14)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, highlight = [seq({g}, `in`(g, generators))])" height="6" src="/view.aspx?sf=228901_post/89120031f97778a1fcf7375870ff8941.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/36b0178dc21ba66dd1614bb9a2d16f0d.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Of course you can also show more advanced topics in this way. For example, here is the Frattini series of this group.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, highlight = FrattiniSeries(qd))" height="23" src="/view.aspx?sf=228901_post/e98281648a6360fb752bd3ff60b1b976.gif" style="vertical-align:-6px" width="357"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/3c424ec8627eec18ddb9203d07539199.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/41d2e3c31979b3f36cf00c8e542c75ab.gif" style="vertical-align:-6px" width="9"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/d2fd987de18d1f5f11ffb5953822474a.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=228901_post/blogpost-algebra.mw"&gt;Download blogpost-algebra.mw&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <description>&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;form name="worksheet_form"&gt;&lt;input name="md.ref" type="hidden" value="A4FEFFF4A20F724FF0A9B0AF42E34CAA"&gt;
&lt;table align="center" width="768"&gt;
	&lt;tbody&gt;
		&lt;tr&gt;
			&lt;td&gt;
			&lt;p align="left" style="margin:0 0 0 0; padding-top:8px; padding-bottom:4px"&gt;&amp;nbsp;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;For Maple 17, in 2013, we introduced the &lt;/span&gt;&lt;img alt="GroupTheory" height="23" src="/view.aspx?sf=228901_post/39e68bf8824e1f71449d43094f33a14a.gif" style="vertical-align:-6px" width="87"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package. It has seen a lot of improvements since its introduction, and I figured I would write something about how you can use it to teach a group theory course.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;First of all, I think it would be a great idea to have your students just play with the &lt;/span&gt;&lt;img alt="GroupTheory" height="23" src="/view.aspx?sf=228901_post/1689f270fe83ee665c8039d2ff7cf0d9.gif" style="vertical-align:-6px" width="87"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package in Maple, and get some intuition for what makes group theory tick by getting their hands dirty. But that is not what I want to talk about today. Instead, I want to discuss how you might use it for giving your lectures - to show some visualizations while you show your &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;beamer&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;presentation or write on the black- or whiteboard.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;When starting out with the definition of a group, you might want to compare the Cayley table of a group with that of a binary operation that doesn&amp;#39;t define a group. A set with any binary operation is called a &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;magma&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;;&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;to find good examples, we might want to use one group; one magma that has an identity and is associative but not invertible; and one magma that is has an identity and is invertible but not associative. Maybe we also want the group to not be cyclic (so the group order will have to not be prime), because those Cayley tables look a little boring. For this we can use the &lt;/span&gt;&lt;img alt="Magma" height="23" src="/view.aspx?sf=228901_post/96eac1c8b363cfe3ac60c24412518af3.gif" style="vertical-align:-6px" width="51"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;package.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;We note that a magma that is invertible and has an identity element is called a &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;loop&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;. We can enumerate all magmas of a given order and with certain properties using the command &lt;/span&gt;&lt;img alt="Magma:-Enumerate" height="23" src="/view.aspx?sf=228901_post/0c6fbd5163b2479a77c9f05d80084966.gif" style="vertical-align:-6px" width="125"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, finding either the &lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:italic;"&gt;number&lt;/span&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;of such objects (by default) or a list of the multiplication tables (with the &lt;/span&gt;&lt;img alt="output = list" height="23" src="/view.aspx?sf=228901_post/07a56ebe9a3b572555852d8fb4fe008f.gif" style="vertical-align:-6px" width="76"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;option). Can we find interesting examples of order 4?&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(Magma)" height="23" src="/view.aspx?sf=228901_post/e6d352061a1877bc3df44ef0b0bf2ed6.gif" style="vertical-align:-6px" width="102"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(4, group), Enumerate(4, loop), Enumerate(4, associative, identity)" height="23" src="/view.aspx?sf=228901_post/fcf31470f9807a6c2573964b8f364911.gif" style="vertical-align:-6px" width="479"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2, 2, 35" height="23" src="/view.aspx?sf=228901_post/e5cf505beca64d9c2e1a3b8fa7564af6.gif" style="vertical-align:-6px" width="49"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(1)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;No: all loops of order 4 are groups. Let&amp;#39;s try order 6.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, group), Enumerate(6, loop), Enumerate(6, associative, identity)" height="23" src="/view.aspx?sf=228901_post/e527edd60ed31437afdbf7ce7b1c4df6.gif" style="vertical-align:-6px" width="479"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2, 109, 2237" height="23" src="/view.aspx?sf=228901_post/a9d40747feb7dd1db420b969d50b5540.gif" style="vertical-align:-6px" width="79"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(2)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Yes, we can find examples here. We find the Cayley tables of three suitable magmas; we call the non-cyclic group one &lt;/span&gt;&lt;img alt="m1" height="23" src="/view.aspx?sf=228901_post/efb807fb1697723575ae6390dcfc695a.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, the non-associative loop one &lt;/span&gt;&lt;img alt="m2" height="23" src="/view.aspx?sf=228901_post/2f48c1841d56dce20ab3899891ab792d.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;, and the non-invertible magma &lt;/span&gt;&lt;img alt="m3" height="23" src="/view.aspx?sf=228901_post/b220226a7dcd3ea37f6a9da243004f14.gif" style="vertical-align:-6px" width="24"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, group, output = list)" height="23" src="/view.aspx?sf=228901_post/c4ca380e8fe47c7bbaabf05ab05e91c6.gif" style="vertical-align:-6px" width="219"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(3)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;m1 := ?[2]:&amp;quot;" height="23" src="/view.aspx?sf=228901_post/5039cdbaf5c9496d024fad77a33048b4.gif" style="vertical-align:-6px" width="97"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, loop, output = list)[1 .. 5]" height="23" src="/view.aspx?sf=228901_post/a3405697b18a7f71055b37b83e811e19.gif" style="vertical-align:-6px" width="247"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(4)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="&amp;quot;m2 := ?[2]:&amp;quot;" height="23" src="/view.aspx?sf=228901_post/84ae970bce1cb2e22e22e6e90aa6a6ee.gif" style="vertical-align:-6px" width="97"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="Enumerate(6, associative, identity, output = list)[1 .. 5]" height="23" src="/view.aspx?sf=228901_post/aae86cf92e2e7dd777aa89c068b14ac0.gif" style="vertical-align:-6px" width="337"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(5)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Most of these appear to have many more of one value than of another (e.g., many more threes). Let&amp;#39;s find one where that is not so extreme. For example, we might want to minimize the standard deviation of the frequencies of the values occurring in the Cayley table.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="lst := Enumerate(6, associative, identity, output = list)" height="23" src="/view.aspx?sf=228901_post/a37663e95daf4c4588718eceec80a49d.gif" style="vertical-align:-6px" width="342"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="lst := remove(IsLeftInvertible, lst)" height="23" src="/view.aspx?sf=228901_post/e631a5c8f0ed7312c263a2d9c0824cd2.gif" style="vertical-align:-6px" width="226"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="numelems(lst)" height="23" src="/view.aspx?sf=228901_post/73b309b065b08478d9f34446115c01e2.gif" style="vertical-align:-6px" width="93"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="2235" height="23" src="/view.aspx?sf=228901_post/45b94d58ca6f61a988238a499ccf8dde.gif" style="vertical-align:-6px" width="36"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(6)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="frequencies := map(proc (m) options operator, arrow; map2(numboccur, m, [seq(1 .. 6)]) end proc, lst)" height="23" src="/view.aspx?sf=228901_post/b4d472e8d7157adef7acb5cb7ef5b055.gif" style="vertical-align:-6px" width="409"&gt;&lt;img alt="``" height="23" src="/view.aspx?sf=228901_post/5b79c9aa1ed3c0cbaf2ca7c3ae323a87.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(Statistics)" height="23" src="/view.aspx?sf=228901_post/1894e9427118b7daede146d21d649566.gif" style="vertical-align:-6px" width="111"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="sds := map(StandardDeviation, convert(frequencies, 'set'))" height="23" src="/view.aspx?sf=228901_post/86b9d2e2c1e168951fe3beb711ec84ac.gif" style="vertical-align:-6px" width="372"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" alt="{HFloat(2.449489742783178), HFloat(3.0983866769659336), HFloat(3.1622776601683795), HFloat(3.22490309931942), HFloat(3.286335345030997), HFloat(3.3466401061363027), HFloat(3.4058772731852804), HFloat(3.4641016151377544), HFloat(3.464101615137755), HFloat(3.521363372331802), HFloat(3.5213633723318023), HFloat(3.5777087639996634), HFloat(3.6331804249169903), HFloat(3.687817782917155), HFloat(3.7416573867739413), HFloat(3.794733192202055), HFloat(3.8470768123342687), HFloat(3.847076812334269), HFloat(3.898717737923586), HFloat(3.9496835316262997), HFloat(3.9496835316263), HFloat(3.9999999999999996), HFloat(4.0), HFloat(4.049691346263318), HFloat(4.09878030638384), HFloat(4.147288270665544), HFloat(4.195235392680606), HFloat(4.1952353926806065), HFloat(4.2895221179054435), HFloat(4.33589667773576), HFloat(4.3817804600413295), HFloat(4.427188724235731), HFloat(4.47213595499958), HFloat(4.5166359162544865), HFloat(4.560701700396552), HFloat(4.604345773288535), HFloat(4.604345773288536), HFloat(4.6475800154489), HFloat(4.69041575982343), HFloat(4.732863826479693), HFloat(4.774934554525329), HFloat(4.77493455452533), HFloat(4.8166378315169185), HFloat(4.857983120596447), HFloat(4.898979485566356), HFloat(4.9396356140913875), HFloat(4.939635614091388), HFloat(4.979959839195493), HFloat(5.019960159204453), HFloat(5.059644256269407), HFloat(5.0990195135927845), HFloat(5.138093031466052), HFloat(5.176871642217914), HFloat(5.215361924162119), HFloat(5.253570214625479), HFloat(5.291502622129181), HFloat(5.329165037789691), HFloat(5.366563145999495), HFloat(5.403702434442518), HFloat(5.440588203494177), HFloat(5.477225575051661), HFloat(5.513619500836089), HFloat(5.549774770204643), HFloat(5.585696017507577), HFloat(5.621387729022079), HFloat(5.656854249492381), HFloat(5.692099788303083), HFloat(5.727128425310542), HFloat(5.761944116355173), HFloat(5.796550698475776), HFloat(5.830951894845301), HFloat(5.865151319446072), HFloat(5.8991524815010505), HFloat(5.93295878967653), HFloat(5.932958789676531), HFloat(5.966573556070519), HFloat(6.0), HFloat(6.0332412515993425), HFloat(6.066300355241241), HFloat(6.066300355241242), HFloat(6.099180272790763), HFloat(6.131883886702357), HFloat(6.164414002968976), HFloat(6.196773353931867), HFloat(6.228964600958975), HFloat(6.260990336999411), HFloat(6.29285308902091), HFloat(6.324555320336759), HFloat(6.356099432828282), HFloat(6.418722614352485), HFloat(6.48074069840786), HFloat(6.511528238439883), HFloat(6.542170893518451), HFloat(6.572670690061994), HFloat(6.603029607687671), HFloat(6.603029607687672), HFloat(6.6332495807108), HFloat(6.663332499583073), HFloat(6.6932802122726045), HFloat(6.693280212272605), HFloat(6.723094525588644), HFloat(6.723094525588645), HFloat(6.752777206453653), HFloat(6.782329983125268), HFloat(6.811754546370561), HFloat(6.928203230275509), HFloat(6.957010852370435), HFloat(6.985699678629192), HFloat(7.014271166700073), HFloat(7.042726744663604), HFloat(7.0710678118654755), HFloat(7.127411872482185), HFloat(7.155417527999327), HFloat(7.183313998427188), HFloat(7.18331399842719), HFloat(7.293833011524188), HFloat(7.429670248402684), HFloat(7.4565407529228995), HFloat(7.4565407529229), HFloat(7.483314773547883), HFloat(7.536577472566709), HFloat(7.53657747256671), HFloat(7.563068160475615), HFloat(7.64198926981712), HFloat(7.77174369109018), HFloat(7.8993670632526), HFloat(7.92464510246358), HFloat(7.9498427657407165), HFloat(8.024961059095553), HFloat(8.12403840463596), HFloat(8.366600265340756), HFloat(8.390470785361211), HFloat(8.390470785361213), HFloat(8.414273587185052), HFloat(8.438009243891594), HFloat(8.508818954473059), HFloat(8.854377448471462), HFloat(8.87693640846886), HFloat(8.921883209278185), HFloat(9.338094023943), HFloat(9.338094023943002), HFloat(9.359487165438072), HFloat(9.81835016690686), HFloat(9.818350166906862), HFloat(10.295630140987)}" height="499" src="/view.aspx?sf=228901_post/5967d5d9fb69be9235b5762088db8035.gif" style="vertical-align:-482px" width="738"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(7)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Aha, the smallest standard deviation is a bit under two and a half, and the next possible value is greater than 3. Let&amp;#39;s examine the Cayley tables that show this standard deviation.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/f84b88c7a11f63b976b5917627f76cee.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="small_sd_index := select(proc (i) options operator, arrow; StandardDeviation(frequencies[i]) &amp;lt; 3 end proc, [seq(1 .. numelems(frequencies))])" height="23" src="/view.aspx?sf=228901_post/50115a2ac8ffaa986d51110d2e0ed0c6.gif" style="vertical-align:-6px" width="665"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="[1636, 1638, 2234, 2235]" height="23" src="/view.aspx?sf=228901_post/6aad42b86fe8467eaca50b563e20d9ba.gif" style="vertical-align:-6px" width="279"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(8)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="small_sd := lst[small_sd_index]" height="23" src="/view.aspx?sf=228901_post/6c6995c981389f7bce9d56812dadbc5f.gif" style="vertical-align:-6px" width="211"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(9)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;The last of these looks interesting.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="m3 := small_sd[-1]" height="23" src="/view.aspx?sf=228901_post/fc6dd8eae3db398abbcb398778c84f92.gif" style="vertical-align:-6px" width="143"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/290a971c4ec7bf9fbc3492ae87e5aa0d.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Now we can display these three Cayley tables:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="CayleyColorTable(m1); CayleyColorTable(m2); CayleyColorTable(m3)" height="6" src="/view.aspx?sf=228901_post/3c36f4bf05169b61b64fe30882d45f4e.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

			&lt;p&gt;&lt;img src="data:image/png;base64,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"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;It&amp;#39;s clear that the multiplication shown in the third Cayley table is not invertible (because multiplying by any element other than 1, on either side, is not a permutation of the elements: rows and columns beyond the first don&amp;#39;t have all colors). It&amp;#39;s less visually obvious that the second Cayley table doesn&amp;#39;t show an associative multiplication, but a quick loop showed that &lt;/span&gt;&lt;img alt="5*(3*3) = 5*5 and 5*5 = 4" height="23" src="/view.aspx?sf=228901_post/6472073dd90175d793e0612e10abfd56.gif" style="vertical-align:-6px" width="124"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;whereas &lt;/span&gt;&lt;img alt="3*(3*5) = 3 and 3 = 3" height="23" src="/view.aspx?sf=228901_post/0ae37f542c626f4c683edb9ad8983da5.gif" style="vertical-align:-6px" width="126"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;. I&amp;#39;m not sure if there is something real underpinning this, but to my mind this is a nice parallel to the fact that when you&amp;#39;re proving a set with a given operation is a group, it&amp;#39;s easier to show that there are inverses than that the operation is associative.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;A second nice visualization, also usable in the first week or two of a group theory course, is also named after Cayley: Cayley graphs. Here is a Cayley graph for the dihedral group &lt;/span&gt;&lt;img alt="D[3]" height="28" src="/view.aspx?sf=228901_post/c5df2a2c545637addb36cdc0cd5d55c4.gif" style="vertical-align:-11px" width="22"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;of order 6:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GroupTheory)" height="23" src="/view.aspx?sf=228901_post/340a0c67688d13d3cb5cc174276b8281.gif" style="vertical-align:-6px" width="138"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="D3 := DihedralGroup(3)" height="23" src="/view.aspx?sf=228901_post/1e4e44f1870cf1e09dc9c0a2549b6848.gif" style="vertical-align:-6px" width="170"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132248572811840" height="28" src="/view.aspx?sf=228901_post/8f96fb8fc9bb89056a2c7666a152d8e2.gif" style="vertical-align:-11px" width="66"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(10)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GraphTheory)" height="23" src="/view.aspx?sf=228901_post/2673503920cfe04f05902aaccb04e61e.gif" style="vertical-align:-6px" width="138"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawGraph(CayleyGraph(D3), layout = spring)" height="6" src="/view.aspx?sf=228901_post/21e2e5c543c5c43fa09efcfdda79920b.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/22f6d2ed6d0d261ab11540b4298e4b94.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/fccaca7d2c8c658c40aaca11e1c4e672.gif" style="vertical-align:-6px" width="9"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Here is a well-known presentation of the alternating group on 4 letters. I find &amp;quot;grabbing and turning&amp;quot; the 3D plot shows the structure much better than simply an embedding of the graph in the plane.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="a4 := `&amp;lt;|&amp;gt;`(`&amp;lt;,&amp;gt;`(a, b), `&amp;lt;,&amp;gt;`(a^3, b^2, a.b.a = b.(a^2).b))" height="27" src="/view.aspx?sf=228901_post/379ad4769d9a08a1a9c526f1f324e589.gif" style="vertical-align:-6px" width="234"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132249105458016" height="27" src="/view.aspx?sf=228901_post/5c96e6d4c4b460f4ea624878d6e3f0e1.gif" style="vertical-align:-6px" width="225"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(11)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawGraph(CayleyGraph(a4), layout = spring, dimension = 3, size = [800, 800])" height="6" src="/view.aspx?sf=228901_post/c6f01f6fea65d0cd4c4a2fb37f6626de.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="768" src="/view.aspx?sf=228901_post/252c693d3812368b380c93ebad70c8f5.gif" style="border:none" width="768"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Another great opportunity for a visualization comes a couple of weeks later, when you talk about subgroup lattices. Here are a few examples:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="with(GroupTheory)" height="23" src="/view.aspx?sf=228901_post/5fbdedcb0415879fbf51839c2f8dcac1.gif" style="vertical-align:-6px" width="138"&gt;&lt;img alt="``" height="23" src="/view.aspx?sf=228901_post/94422652cd8d31c9676dd36eb7a376a2.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="qd := QuasiDihedralGroup(2)" height="23" src="/view.aspx?sf=228901_post/8e500a9b252fbc6c94e82bff641b3964.gif" style="vertical-align:-6px" width="199"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="_m132249751531168" height="28" src="/view.aspx?sf=228901_post/14070b1d88bbb74d86c753a59c06bbe7.gif" style="vertical-align:-11px" width="74"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(12)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="GroupOrder(qd)" height="23" src="/view.aspx?sf=228901_post/f4ab1396f05e26ac7ebc221fc0a3dd3c.gif" style="vertical-align:-6px" width="118"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="16" height="23" src="/view.aspx?sf=228901_post/fa55b60f2c44cf66e4f95418ee270592.gif" style="vertical-align:-6px" width="21"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(13)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, normal = false, center = false)" height="6" src="/view.aspx?sf=228901_post/db4a7d757df3b4c9eb3ebb7f27e8cfb4.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/0e420e7523c24ac75530b2e5d750a82f.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;This is the plain subgroup lattice. Note how the subgroups in the first and second nontrivial &amp;quot;layer&amp;quot; from the bottom are grouped by conjugacy class. The default visualization of a subgroup lattice highlights the centre in light blue and the (in this case six) other normal subgroups in green.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd)" height="6" src="/view.aspx?sf=228901_post/e0a404270e2fbcf107a4c7d3a7b05ed2.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/2feb994dcc4ca61e65c3ef3aa43d8894.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;We see that every conjugacy class of size one is a normal subgroup. We can also highlight other subgroups, if we want. Maybe we want to show which are the (cyclic) subgroups generated by one of the chosen generators:&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="generators := Generators(qd)" height="23" src="/view.aspx?sf=228901_post/c3f7e73d81e105f759d0f9239ffd9f92.gif" style="vertical-align:-6px" width="199"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="[_m132249751506336, _m132249751509600]" height="23" src="/view.aspx?sf=228901_post/8bf6c785104c6b6b1c17c8943d80fabb.gif" style="vertical-align:-6px" width="340"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;(14)&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, highlight = [seq({g}, `in`(g, generators))])" height="6" src="/view.aspx?sf=228901_post/89120031f97778a1fcf7375870ff8941.gif" style="vertical-align:-6px" width="768"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/36b0178dc21ba66dd1614bb9a2d16f0d.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;Of course you can also show more advanced topics in this way. For example, here is the Frattini series of this group.&lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp; &lt;/span&gt;&lt;/p&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="DrawSubgroupLattice(qd, highlight = FrattiniSeries(qd))" height="23" src="/view.aspx?sf=228901_post/e98281648a6360fb752bd3ff60b1b976.gif" style="vertical-align:-6px" width="357"&gt;&lt;/p&gt;

			&lt;table&gt;
				&lt;tbody&gt;
					&lt;tr valign="baseline"&gt;
						&lt;td&gt;
						&lt;p align="center" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img align="middle" height="500" src="/view.aspx?sf=228901_post/3c424ec8627eec18ddb9203d07539199.gif" style="border:none" width="500"&gt;&lt;/p&gt;
						&lt;/td&gt;
						&lt;td align="right" style="color:#000000; font-family:Times, serif; font-weight:bold; font-style:normal;"&gt;&amp;nbsp;&lt;/td&gt;
					&lt;/tr&gt;
				&lt;/tbody&gt;
			&lt;/table&gt;

			&lt;p align="left" style="margin:0 0 0 0; padding-top:0px; padding-bottom:0px"&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/41d2e3c31979b3f36cf00c8e542c75ab.gif" style="vertical-align:-6px" width="9"&gt;&lt;span style="color:#000000;font-size: 100%;font-family: Times New Roman,serif;font-weight:normal;font-style:normal;"&gt;&amp;nbsp;&lt;/span&gt;&lt;img alt="NULL" height="23" src="/view.aspx?sf=228901_post/d2fd987de18d1f5f11ffb5953822474a.gif" style="vertical-align:-6px" width="11"&gt;&lt;/p&gt;
			&lt;/td&gt;
		&lt;/tr&gt;
	&lt;/tbody&gt;
&lt;/table&gt;
&lt;input name="sequence" type="hidden" value="1"&gt; &lt;input name="cmd" type="hidden" value="none"&gt;&lt;/form&gt;

&lt;p&gt;&lt;br&gt;
&amp;nbsp;&lt;/p&gt;

&lt;p&gt;&lt;a href="/view.aspx?sf=228901_post/blogpost-algebra.mw"&gt;Download blogpost-algebra.mw&lt;/a&gt;&lt;/p&gt;
</description>
      <guid>228901</guid>
      <pubDate>Tue, 11 Feb 2025 21:24:17 Z</pubDate>
      <itunes:author>epostma</itunes:author>
      <author>epostma</author>
    </item>
  </channel>
</rss>