Let
be an n × n matrix. The determination of eigenvalues and eigenvectors requires the solution of
(1)![[Graphics:Images/FaddeevLeverrierMod_gr_2.gif]](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_uXKgoTCUHJx7v08pZVmbZmLlaRRDoBLKmn5yYbTOSiC4lm4LneIXHMxxtijTYdYxPyqvxFQQM1Bw2kdlcT4HSs5efVc0BJdzz88zg_A52_O2gB9vbnjOfYfx-X2SjeoRWllBd5gcnZr9xb42YL9A5PWJKG-Z--AhAgHIB_bfb4vh2om3IrN5JcWBZq3F8kP10=s0-d)
where
is the eigenvalue corresponding to the eigenvector
. The values
must satisfy the equation
(2)
.
(1)
where
(2)
Hence is a root of an nth degree polynomial
, which we write in the form
(3) .
The Faddeev-Leverrier algorithm is an efficient method for finding the coefficients of the polynomial
. As an additional benefit, the inverse matrix
is obtained at no extra computational expense.
Recall that the trace of the matrix , written
, is
(4) .
The algorithm generates a sequence of matrices and uses their traces to compute the coefficients of
,
(5)
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Then the characteristic polynomial is given by
(6) .
In addition, the inverse matrix is given by
(7) .
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