Quadratic eigenvalue problem
where , with matrix coefficients and we require that , (so that we have a nonzero leading coefficient). There are eigenvalues that may be infinite or finite, and possibly zero. This is a special case of a nonlinear eigenproblem. is also known as a quadratic matrix polynomial.
A QEP can result in part of the dynamic analysis of structures discretized by the finite element method. In this case the quadratic, has the form , where is the mass matrix, is the damping matrix and is the stiffness matrix. Other applications include vibro-acoustics and fluid dynamics.
Methods of solution
Direct methods for solving the standard or generalized eigenvalue problems and are based on transforming the problem to Schur or Generalized Schur form. However, there is no analogous form for quadratic matrix polynomials. One approach is to transform the quadratic matrix polynomial to a linear matrix pencil (), and solve a generalized eigenvalue problem. Once eigenvalues and eigenvectors of the linear problem have been determined, eigenvectors and eigenvalues of the quadratic can be determined.
The most common linearization is the first companion linearization
where is the -by- identity matrix, with corresponding eigenvector
We solve for and , for example by computing the Generalized Schur form. We can then take the first components of as the eigenvector of the original quadratic .
|This applied mathematics-related article is a stub. You can help Wikipedia by expanding it.|
- F. Tisseur and K. Meerbergen, The quadratic eigenvalue problem, SIAM Rev., 43 (2001), pp. 235–286.