TY - JOUR

T1 - Alternatives to the Rayleigh quotient for the quadratic eigenvalue problem

AU - Hochstenbach, M.E.

AU - Vorst, van der, H.A.

PY - 2003

Y1 - 2003

N2 - We consider the quadratic eigenvalue problem ¿2Ax + ¿Bx + Cx = 0. Suppose that
u is an approximation to an eigenvector x (for instance, obtained by a subspace method) and that we want to determine an approximation to the correspondingeig envalue ¿. The usual approach is to impose the Galerkin condition r(¿, u) = (¿2A + ¿B + C)u ¿ u, from which it follows that ¿ must be one of the two solutions to the quadratic equation (u*Au)¿2 +(u*Bu)¿+(u*Cu) = 0. An unnatural aspect is that if u = x, the second solution has in general no meaning. When u is not very accurate,it may not be clear which solution is the best. Moreover, when the discriminant of the equation is small, the solutions may be very sensitive to perturbations in u.In this paper we therefore examine alternative approximations to ¿. We compare the approaches theoretically and by numerical experiments. The methods are extended to approximations from subspaces and to the polynomial eigenvalue problem.

AB - We consider the quadratic eigenvalue problem ¿2Ax + ¿Bx + Cx = 0. Suppose that
u is an approximation to an eigenvector x (for instance, obtained by a subspace method) and that we want to determine an approximation to the correspondingeig envalue ¿. The usual approach is to impose the Galerkin condition r(¿, u) = (¿2A + ¿B + C)u ¿ u, from which it follows that ¿ must be one of the two solutions to the quadratic equation (u*Au)¿2 +(u*Bu)¿+(u*Cu) = 0. An unnatural aspect is that if u = x, the second solution has in general no meaning. When u is not very accurate,it may not be clear which solution is the best. Moreover, when the discriminant of the equation is small, the solutions may be very sensitive to perturbations in u.In this paper we therefore examine alternative approximations to ¿. We compare the approaches theoretically and by numerical experiments. The methods are extended to approximations from subspaces and to the polynomial eigenvalue problem.

U2 - 10.1137/S1064827502406403

DO - 10.1137/S1064827502406403

M3 - Article

VL - 25

SP - 591

EP - 603

JO - SIAM Journal on Scientific Computing

JF - SIAM Journal on Scientific Computing

SN - 1064-8275

IS - 2

ER -