This post throws some light on the similarity tranformations and its applications.
'An eigenvector defines a one-dimensional subspace that is invariant with respect to premultiplication by A.' (1)
Lets first see what is the formal definition of similarity transformation.
'An eigenvector defines a one-dimensional subspace that is invariant with respect to premultiplication by A.' (1)
Lets first see what is the formal definition of similarity transformation.
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