Uniform Exponential Stability for a Schrodinger Equation and Its Semidiscrete Approximation

• 成果类型: Article
• 署名作者: Guo, Bao-Zhu; Zheng, Fu
• 署名单位: North China Electric Power University; Chinese Academy of Sciences; Academy of Mathematics & System Sciences, CAS; Hainan University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2024.3419847
• 发表日期: 2024
• 页码: 8900-8907
• 关键词: stability; control theory; Frequency-domain analysis; Time-domain analysis; viscosity; Numerical stability; Hilbert space; Boundary damping; frequency domain multiplier; Schrodinger equation; semidiscretization; uniform exponential stability

摘要

In this article, we investigate the uniform exponential stability of a semidiscrete scheme for a Schrodinger equation under boundary stabilizing feedback control in the natural state space L-2(0,1). This study is significant since a time domain energy multiplier that allows proving the exponential stability of this continuous Schrodinger system has not yet found, thus leading to a major mathematical challenge to the uniform exponential stability of the corresponding semidiscretization systems, which is an open problem for a long time. Although the powerful frequency domain energy multiplier approach has been used in proving exponential stability for partial differential equations (PDEs) since 1980s, its use to the uniform exponential stability of the semidiscrete scheme for PDEs has not been reported yet. The difficulty associated with the uniformity is that due to the parameter of the step size, it involves infinitely many matrices in different state spaces that need to be considered simultaneously. Based on the Huang-Pruss frequency domain criterion for uniform exponential stability of a family of C-0-semigroups in Hilbert spaces, we solve this problem for the first time by proving the uniform boundedness for all the resolvents of these matrices on the imaginary axis. The proof almost exactly follows the procedure for the exponential stability of the continuous counterpart, highlighting the advantage of this discretization method.