What represent the eigenvector corresponding to eigenvalue
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Assuming we have two matrices A and B, when applying for generalized eigenvalue decomposition on (A,B), what is the difference between eigenvector corresponding to maximum eigenvalue and eigmenvector corresponding to minimum eigenvalue ?
I mean, do they represent the minimum difference between the two matrices A and B and the maximum difference between the two matrices A and B?
how is that?
thank you
linear-algebra matrices
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up vote
0
down vote
favorite
Assuming we have two matrices A and B, when applying for generalized eigenvalue decomposition on (A,B), what is the difference between eigenvector corresponding to maximum eigenvalue and eigmenvector corresponding to minimum eigenvalue ?
I mean, do they represent the minimum difference between the two matrices A and B and the maximum difference between the two matrices A and B?
how is that?
thank you
linear-algebra matrices
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Assuming we have two matrices A and B, when applying for generalized eigenvalue decomposition on (A,B), what is the difference between eigenvector corresponding to maximum eigenvalue and eigmenvector corresponding to minimum eigenvalue ?
I mean, do they represent the minimum difference between the two matrices A and B and the maximum difference between the two matrices A and B?
how is that?
thank you
linear-algebra matrices
Assuming we have two matrices A and B, when applying for generalized eigenvalue decomposition on (A,B), what is the difference between eigenvector corresponding to maximum eigenvalue and eigmenvector corresponding to minimum eigenvalue ?
I mean, do they represent the minimum difference between the two matrices A and B and the maximum difference between the two matrices A and B?
how is that?
thank you
linear-algebra matrices
linear-algebra matrices
asked Sep 2 at 6:30
Zeyad_Zeyad
113
113
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add a comment |Â
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