arXiv · 2409.05048
A Power-like Method for Computing the Dominant Eigenpairs of Large Scale Real Skew-Symmetric Matrices
Abstract
The power method is a basic method for computing the dominant eigenpair of a matrix. In this paper, we propose a structure-preserving power-like method for computing the dominant conjugate pair of purely imaginary eigenvalues and the corresponding eigenvectors of a large skew-symmetric matrix S, which works on S and its transpose alternately and is performed in real arithmetic. We establish the rigorous and quantitative convergence of the proposed power-like method, and prove that the approximations to the dominant eigenvalues converge twice as fast as those to the associated eigenvectors. Moreover, we develop a deflation technique to compute several complex conjugate dominant eigenpairs of S. Numerical experiments show the effectiveness and efficiency of the new method.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Qingqing Zheng. 2024-09-08. A Power-like Method for Computing the Dominant Eigenpairs of Large Scale Real Skew-Symmetric Matrices. https://arxiv.org/abs/2409.05048
Cite the original work for its findings. Save a collection to share your selection of sources.