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231 bytes added ,  14:58, May 2, 2010
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:<math>A\boldsymbol{x}=\lambda\boldsymbol{x}</math>
 
:<math>A\boldsymbol{x}=\lambda\boldsymbol{x}</math>
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for some non-zero vector <math>\boldsymbol{x}\in\mathbb{R}</math> known as a [[eigenvector]]. The eigenvalue is the zero of a matrix's [[characteristic polynomial]].
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for some non-zero vector <math>\boldsymbol{x}\in\mathbb{R}</math> known as a [[eigenvector]]. The eigenvalues are the zeroes of a matrix's [[characteristic polynomial]].
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The product of all the eigenvalues of a matrix equals the value of the matrix's determinant.  Since a matrix is invertible if and only if the determinant is non-zero, it is invertible if and only if zero is not an eigenvalue.
    
The [[span]] of all the eigenvectors corresponding to a fixed eigenvalue <math>\lambda</math> is called the [[eigenspace]] <math>E_\lambda</math> of <math>A</math>.
 
The [[span]] of all the eigenvectors corresponding to a fixed eigenvalue <math>\lambda</math> is called the [[eigenspace]] <math>E_\lambda</math> of <math>A</math>.
    
[[category:Linear algebra]]
 
[[category:Linear algebra]]
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