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Computation of eigencomponents

The second equation is called the characteristic equation of the matrix A. Once A is known, the vector ut is computed as the unit vector solution of the linear system. It is left to the reader to show that the eigenvalues of a 2 x 2 matrix A can be found as a solution of the equation [Pg.74]

These equations, which give an eigendirection and not the coordinates of an eigenvector, are equivalent. An eigenvector, usually with unit length, must be chosen along that eigendirection, so that [Pg.74]

For the same eigenvalue, the opposite vector in the same eigendirection is the solution —x, — y, also acceptable. The eigenvector associated with A2 = 1 is [Pg.74]

Efficient computer programs rarely use this method. The numerical algorithms used to search for eigenvalues are countless and difficult to implement without a dramatic loss of accuracy. Use of the best canned routines saves time and produces better results. [Pg.75]


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