Eigen Values and Eigen Vectors Matlab

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有刺的猬
有刺的猬 2021-01-29 04:18

I have a matrix A

A = [ 124.6,95.3,42.7 ; 95.3,55.33,2.74 ; 42.7,2.74,33.33 ]

The eigenvalues and vectors:

[V,D] =         


        
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  • 2021-01-29 05:11

    To compute all dot products between columns of V:

    M = squeeze(sum(bsxfun(@times, conj(V), permute(V, [1 3 2]))));
    

    The columns of V (eigenvectors) will be orthogonal if the above M is diagonal.

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  • 2021-01-29 05:21

    To show orthogonality

    >> V'*V-eye(size(V))
    
    ans =
    
       1.0e-15 *
    
        0.2220    0.1110    0.2498
        0.1110   -0.4441    0.1388
        0.2498    0.1388    0.4441
    

    To show that the definition of the eigendecomposition is satisfied,

    >> A*V - V*D
    
    ans =
    
       1.0e-13 *
    
        0.4086    0.0400    0.8527
        0.3908    0.0355    0.5684
        0.1954    0.0355         0
    

    The results won't be exactly zero, because digital computers don't do exact math, but you can see that they're pretty close.

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