Difference between revisions of "Eigenvalue"
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Revision as of 12:39, 2 March 2010
In linear algebra, an eigenvector of a linear map 
refers to a non-zero vector such that applying to this vector does not change the direction of the vector. In other words, 
for some scalar constant 
. Here, is known as the eigenvalue. The eigenspace of an eigenvalue refers to the set of all eigenvectors that correspond with that eigenvalue, and is a vector space.
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