Graph-theoretic properties of scales: Difference between revisions

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<h2>IMPORTED REVISION FROM WIKISPACES</h2>
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=The Laplace Spectrum=
=The Laplace Spectrum=
If D is the diagonal matrix [Dij], with Dii being the degree of the ith vertex--that is, the number of edges connecting to that vertex--then L = D - A is called the //Laplace matrix// of the graph G, and its eigenvalues (roots of its characteristic polynomial) is the //Lplace spectrum//. The matrix L is positive-semidefinite; the Laplace spectrum has at least one zero value, with the other values real and non negative; the number of zero values in the laplace spectrum is equal to the number of connected components of G, and so there is just one iff G is connected. The second smallest member of the Laplace spectrum, which is therefore positive iff G is connected, is called yhe //algebraic connectivity//. The vertex-connectivity κ(G) is greater than or equal to the algebraic connectivity.
If D is the diagonal matrix [Dij], with Dii being the degree of the ith vertex--that is, the number of edges connecting to that vertex--then L = D - A is called the //Laplace matrix// of the graph G, and its eigenvalues (roots of its characteristic polynomial) is the //Laplace spectrum//. The matrix L is positive-semidefinite; the Laplace spectrum has at least one zero value, with the other values real and non negative; the number of zero values in the laplace spectrum is equal to the number of connected components of G, and so there is just one iff G is connected. The second smallest member of the Laplace spectrum, which is therefore positive iff G is connected, is called yhe //algebraic connectivity//. The vertex-connectivity κ(G) is greater than or equal to the algebraic connectivity.


The sum of the Laplace spectrum, which is tr(L), is twice the number of edges (dyads.) Just as with the ordinary spectrum, the Laplace spectrum has at least d+1 distinct values for a graph of diameter d. The largest value in the Laplace spectrum is less than or equal to n, the degree of the graph, meaning the size of the scale; and is equal iff the complementary graph is disconnected, where the complementary graph is the graph of non-consonant relations, that is, the graph which has an edge between two vertices iff G doesn't.</pre></div>
The sum of the Laplace spectrum, which is tr(L), is twice the number of edges (dyads.) Just as with the ordinary spectrum, the Laplace spectrum has at least d+1 distinct values for a graph of diameter d. The largest value in the Laplace spectrum is less than or equal to n, the degree of the graph, meaning the size of the scale; and is equal iff the complementary graph is disconnected, where the complementary graph is the graph of non-consonant relations, that is, the graph which has an edge between two vertices iff G doesn't.</pre></div>
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&lt;br /&gt;
&lt;br /&gt;
&lt;!-- ws:start:WikiTextHeadingRule:6:&amp;lt;h1&amp;gt; --&gt;&lt;h1 id="toc3"&gt;&lt;a name="The Laplace Spectrum"&gt;&lt;/a&gt;&lt;!-- ws:end:WikiTextHeadingRule:6 --&gt;The Laplace Spectrum&lt;/h1&gt;
&lt;!-- ws:start:WikiTextHeadingRule:6:&amp;lt;h1&amp;gt; --&gt;&lt;h1 id="toc3"&gt;&lt;a name="The Laplace Spectrum"&gt;&lt;/a&gt;&lt;!-- ws:end:WikiTextHeadingRule:6 --&gt;The Laplace Spectrum&lt;/h1&gt;
If D is the diagonal matrix [Dij], with Dii being the degree of the ith vertex--that is, the number of edges connecting to that vertex--then L = D - A is called the &lt;em&gt;Laplace matrix&lt;/em&gt; of the graph G, and its eigenvalues (roots of its characteristic polynomial) is the &lt;em&gt;Lplace spectrum&lt;/em&gt;. The matrix L is positive-semidefinite; the Laplace spectrum has at least one zero value, with the other values real and non negative; the number of zero values in the laplace spectrum is equal to the number of connected components of G, and so there is just one iff G is connected. The second smallest member of the Laplace spectrum, which is therefore positive iff G is connected, is called yhe &lt;em&gt;algebraic connectivity&lt;/em&gt;. The vertex-connectivity κ(G) is greater than or equal to the algebraic connectivity.&lt;br /&gt;
If D is the diagonal matrix [Dij], with Dii being the degree of the ith vertex--that is, the number of edges connecting to that vertex--then L = D - A is called the &lt;em&gt;Laplace matrix&lt;/em&gt; of the graph G, and its eigenvalues (roots of its characteristic polynomial) is the &lt;em&gt;Laplace spectrum&lt;/em&gt;. The matrix L is positive-semidefinite; the Laplace spectrum has at least one zero value, with the other values real and non negative; the number of zero values in the laplace spectrum is equal to the number of connected components of G, and so there is just one iff G is connected. The second smallest member of the Laplace spectrum, which is therefore positive iff G is connected, is called yhe &lt;em&gt;algebraic connectivity&lt;/em&gt;. The vertex-connectivity κ(G) is greater than or equal to the algebraic connectivity.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The sum of the Laplace spectrum, which is tr(L), is twice the number of edges (dyads.) Just as with the ordinary spectrum, the Laplace spectrum has at least d+1 distinct values for a graph of diameter d. The largest value in the Laplace spectrum is less than or equal to n, the degree of the graph, meaning the size of the scale; and is equal iff the complementary graph is disconnected, where the complementary graph is the graph of non-consonant relations, that is, the graph which has an edge between two vertices iff G doesn't.&lt;/body&gt;&lt;/html&gt;</pre></div>
The sum of the Laplace spectrum, which is tr(L), is twice the number of edges (dyads.) Just as with the ordinary spectrum, the Laplace spectrum has at least d+1 distinct values for a graph of diameter d. The largest value in the Laplace spectrum is less than or equal to n, the degree of the graph, meaning the size of the scale; and is equal iff the complementary graph is disconnected, where the complementary graph is the graph of non-consonant relations, that is, the graph which has an edge between two vertices iff G doesn't.&lt;/body&gt;&lt;/html&gt;</pre></div>