Hermitian matrices, eigenvalue multiplicities, and eigenvector components

被引:54
|
作者
Johnson, CR [1 ]
Sutton, BD
机构
[1] Coll William & Mary, Dept Math, Williamsburg, VA 23187 USA
[2] MIT, Dept Math, Cambridge, MA 02139 USA
关键词
eigenvalues; Hermitian matrix; multiplicity; Parter vertices;
D O I
10.1137/S0895479802413649
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Given an n-by-n Hermitian matrix A and a real number lambda, index i is said to be Parter (resp., neutral, downer) if the multiplicity of. as an eigenvalue of the principal submatrix A( i) is one more (resp., the same, one less) than that in A. In case the multiplicity of. in A is at least 2 and the graph of A is a tree, there are always Parter vertices. Our purpose here is to advance the classification of vertices and, in particular, to relate classification to the combinatorial structure of eigenspaces. Some general results are given and then used to deduce some rather specific facts not otherwise easily observed. Examples are given.
引用
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页码:390 / 399
页数:10
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