Graph-theoretic properties of scales: Difference between revisions

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<h2>IMPORTED REVISION FROM WIKISPACES</h2>
<h2>IMPORTED REVISION FROM WIKISPACES</h2>
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A [[http://en.wikipedia.org/wiki/Clique_%28graph_theory%29|clique]] in a graph is a subgraph such that there is an edge connecting every vertex; that is, the subgraph is a complete graph. In music terms, a clique is a [[dyadic chord]]. Hence, counting cliques of various degrees (number of notes) is a relevant consideration when analyzing a scale. The various problems of this nature are called, collectively, the [[http://en.wikipedia.org/wiki/Clique_problem|clique problem]], and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.
A [[http://en.wikipedia.org/wiki/Clique_%28graph_theory%29|clique]] in a graph is a subgraph such that there is an edge connecting every vertex; that is, the subgraph is a complete graph. In music terms, a clique is a [[dyadic chord]]. Hence, counting cliques of various degrees (number of notes) is a relevant consideration when analyzing a scale. The various problems of this nature are called, collectively, the [[http://en.wikipedia.org/wiki/Clique_problem|clique problem]], and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.


Among all cliques, the [[http://mathworld.wolfram.com/MaximalClique.html|maximal cliques]], those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A //maximum clique// is a clique of largest size; these are always maximal but the converse does not always hold.
Among all cliques, the [[http://mathworld.wolfram.com/MaximalClique.html|maximal cliques]], those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A //maximum clique// is a clique of largest size; these are always maximal but the converse does not always hold. Given any set of sets, we may form a graph with these as the set of vertices, by drawing an edge between any two sets with a nonempty intersection. In this way we can create graphs of all k-cliques (k note dyadic chords), maximal k-cliques, all maximal cliques, and so forth. Such graphs can illuminate harmonic relationships.


=The Characteristic Polynomial=  
=The Characteristic Polynomial=  
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A &lt;a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_%28graph_theory%29" rel="nofollow"&gt;clique&lt;/a&gt; in a graph is a subgraph such that there is an edge connecting every vertex; that is, the subgraph is a complete graph. In music terms, a clique is a &lt;a class="wiki_link" href="/dyadic%20chord"&gt;dyadic chord&lt;/a&gt;. Hence, counting cliques of various degrees (number of notes) is a relevant consideration when analyzing a scale. The various problems of this nature are called, collectively, the &lt;a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_problem" rel="nofollow"&gt;clique problem&lt;/a&gt;, and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.&lt;br /&gt;
A &lt;a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_%28graph_theory%29" rel="nofollow"&gt;clique&lt;/a&gt; in a graph is a subgraph such that there is an edge connecting every vertex; that is, the subgraph is a complete graph. In music terms, a clique is a &lt;a class="wiki_link" href="/dyadic%20chord"&gt;dyadic chord&lt;/a&gt;. Hence, counting cliques of various degrees (number of notes) is a relevant consideration when analyzing a scale. The various problems of this nature are called, collectively, the &lt;a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_problem" rel="nofollow"&gt;clique problem&lt;/a&gt;, and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.&lt;br /&gt;
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Among all cliques, the &lt;a class="wiki_link_ext" href="http://mathworld.wolfram.com/MaximalClique.html" rel="nofollow"&gt;maximal cliques&lt;/a&gt;, those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A &lt;em&gt;maximum clique&lt;/em&gt; is a clique of largest size; these are always maximal but the converse does not always hold.&lt;br /&gt;
Among all cliques, the &lt;a class="wiki_link_ext" href="http://mathworld.wolfram.com/MaximalClique.html" rel="nofollow"&gt;maximal cliques&lt;/a&gt;, those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A &lt;em&gt;maximum clique&lt;/em&gt; is a clique of largest size; these are always maximal but the converse does not always hold. Given any set of sets, we may form a graph with these as the set of vertices, by drawing an edge between any two sets with a nonempty intersection. In this way we can create graphs of all k-cliques (k note dyadic chords), maximal k-cliques, all maximal cliques, and so forth. Such graphs can illuminate harmonic relationships.&lt;br /&gt;
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&lt;!-- ws:start:WikiTextHeadingRule:4:&amp;lt;h1&amp;gt; --&gt;&lt;h1 id="toc2"&gt;&lt;a name="The Characteristic Polynomial"&gt;&lt;/a&gt;&lt;!-- ws:end:WikiTextHeadingRule:4 --&gt;The Characteristic Polynomial&lt;/h1&gt;
&lt;!-- ws:start:WikiTextHeadingRule:4:&amp;lt;h1&amp;gt; --&gt;&lt;h1 id="toc2"&gt;&lt;a name="The Characteristic Polynomial"&gt;&lt;/a&gt;&lt;!-- ws:end:WikiTextHeadingRule:4 --&gt;The Characteristic Polynomial&lt;/h1&gt;