The Algebraic Eigenvalue Problem

by numerical-methods.com

The algebraic eigenvalue problem refers to finding a set of characteristic values associated with a matrix or matrices. Eigenvalues and eigenvectors are important in that when the corresponding equations model a physical situation they tell us useful information about it. However the eigenvalue problem can take several different forms.

Tutorials on Matrix Eigenvalues

Traditional Eigenvalue Problem

The traditional eigenvalue problem involves finding the (eigen)values l and the (eigen)vectors x that are non-trivial solutions of

A x = lx
where A is an NxN matrix and x is an N-vector.

Generalised Eigenvalue Problem

The generalised eigenvalue problem involves finding the (eigen)values l and the (eigen)vectors x that are non-trivial solutions of

A x = lB x
where A and B are an N ×N matrix and x is an N-vector. Note that if B = I, the identity matrix, then this is the traditional eigenvalue problem.

Non-Linear Eigenvalue Problem

The non-linear eigenvalue problem involves finding the (eigen)values l and the (eigen)vectors x that are non-trivial solutions of

A(l) x = 0
where A is an N ×N matrix with each component of A being a function of the parameter l. Note that A(l) = C-lI then we have the traditional eigenvalue problem and if A(l) = C- lD then we have the generalised eigenvalue problem.

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