报告题目:On an Eigenvector-Dependent Nonlinear Eigenvalue Problem
报告人:Ren-cang Li
报告人单位:University of Texas at Arlington
报告时间:2018年7月24日上午10:00-
报告地点:数学学院西109
邀请人:刘长丽
摘要:
We first establish existence and uniqueness conditions for the solvability of an algebraic
eigenvalue problem with eigenvector nonlinearity. We then present a local and global convergence
analysis for a self-consistent field (SCF) iteration for solving the problem. The well-known
$\sin\Theta$ theorem in the perturbation theory of Hermitian matrices plays a central role. The
near-optimality of the local convergence rate of the SCF iteration is demonstrated by examples from
the discrete Kohn-Sham eigenvalue problem in electronic structure calculations and the maximization
of the trace ratio in the linear discriminant analysis for dimension reduction.
来源链接:http://math.scu.edu.cn/info/1062/3585.htm