Graph-theoretic properties of scales: Difference between revisions
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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 <a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_%28graph_theory%29" rel="nofollow">clique</a> 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 <a class="wiki_link" href="/dyadic%20chord">dyadic chord</a>. 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 <a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_problem" rel="nofollow">clique problem</a>, and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.<br /> | A <a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_%28graph_theory%29" rel="nofollow">clique</a> 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 <a class="wiki_link" href="/dyadic%20chord">dyadic chord</a>. 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 <a class="wiki_link_ext" href="http://en.wikipedia.org/wiki/Clique_problem" rel="nofollow">clique problem</a>, and this unfortunately is computationally hard. However, for scales of the size most people would care to consider a brute-force approach suffices.<br /> | ||
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Among all cliques, the <a class="wiki_link_ext" href="http://mathworld.wolfram.com/MaximalClique.html" rel="nofollow">maximal cliques</a>, those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A <em>maximum clique</em> is a clique of largest size; these are always maximal but the converse does not always hold.<br /> | Among all cliques, the <a class="wiki_link_ext" href="http://mathworld.wolfram.com/MaximalClique.html" rel="nofollow">maximal cliques</a>, those not contained in larger cliques, are of special interest; they might be regarded as the basic chords of the scale. A <em>maximum clique</em> 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.<br /> | ||
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<!-- ws:start:WikiTextHeadingRule:4:&lt;h1&gt; --><h1 id="toc2"><a name="The Characteristic Polynomial"></a><!-- ws:end:WikiTextHeadingRule:4 -->The Characteristic Polynomial</h1> | <!-- ws:start:WikiTextHeadingRule:4:&lt;h1&gt; --><h1 id="toc2"><a name="The Characteristic Polynomial"></a><!-- ws:end:WikiTextHeadingRule:4 -->The Characteristic Polynomial</h1> |