Linear Multistep Approximation of Nonsymmetric Rotating Systems
Adrian T. Hill · 2009
This paper considers the stability of one-leg linear multistep methods applied to linear nonautonomous systems of equations, in which the governing matrix is nonsymmetric and is subject to a constant rotation. It is shown that the stability of the underlying system and of the one--leg methods may be analysed using eigenvalues, following a transformation to a rotating frame. For 2-dimensional systems, general conditions for numerical instability are derived. Stable systems are constructed that are unstable for the Backward Euler and BDF2 methods. A family of neutrally stable systems is identified that is numerically unstable for the BDF3 and BDF4 methods, for all sufficiently small step sizes.