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Eigenvector & Eigenvalues

A major application of linear algebra is in the solution of the eigenvalue problem: tex2html_wrap_inline691 is an eigenvector of the matrix tex2html_wrap_inline693 if:

equation264

and tex2html_wrap_inline695 is said to be the eigenvalue of tex2html_wrap_inline693 corresponding to the eigenvector tex2html_wrap_inline691 . The eigenvalues of the matrix A can be found as the roots of the secular equation tex2html_wrap_inline703 .





Harold Schranz
Tue Jul 1 19:43:28 EST 1997