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Geršgorin And Beyond•••, Jason Knight Belnap
Geršgorin And Beyond•••, Jason Knight Belnap
Undergraduate Honors Capstone Projects
Eigenvalues are useful in various areas of mathematics, such as in testing the critical values of a multi variable function to see if it is a local extrema. One of the more common ways to define eigenvalues is:
Definition (1): Given that A is an n by n matrix, λ is an eigenvalue of A if and only if det(A - λIn) = 0. Any nonzero vector in Null(A - λI) is called an eigenvector associated with λ.