On the approximation of operator-valued Riccati equations in Hilbert spaces

IF 1.2 3区 数学 Q1 MATHEMATICS Journal of Mathematical Analysis and Applications Pub Date : 2025-01-15 DOI:10.1016/j.jmaa.2025.129250
James Cheung
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Abstract

In this work, we present an abstract theory for the approximation of operator-valued Riccati equations posed on Hilbert spaces. It is demonstrated here that, under the assumption of boundedness on the semigroup and compactness on the coefficient operators, the error of the approximate solution to the operator-valued Riccati equation is bounded above by the approximation error of the governing semigroup. One significant outcome of this result is the correct prediction of optimal convergence for finite element approximations of the operator-valued Riccati equations for when the governing semigroup involves parabolic, as well as hyperbolic processes. We derive the abstract theory for the time-dependent and time-independent operator-valued Riccati equations in the first part of this work. In the second part, we derive optimal error estimates for the finite element approximation of the functional gain associated with model weakly damped wave and thermal LQR control systems. These theoretical claims are then corroborated with computational evidence.
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Hilbert空间中算子值Riccati方程的近似
本文给出了Hilbert空间上算子值Riccati方程近似的一个抽象理论。本文证明了在半群有界和系数算子紧性的假设下,算子值Riccati方程近似解的误差由控制半群的近似误差有界。该结果的一个重要结果是当控制半群涉及抛物和双曲过程时,算子值Riccati方程的有限元逼近的最优收敛性的正确预测。在本文的第一部分中,我们导出了时变算子值Riccati方程和时变算子值Riccati方程的抽象理论。在第二部分中,我们推导了与模型弱阻尼波和热LQR控制系统相关的函数增益的有限元近似的最优误差估计。然后用计算证据证实了这些理论主张。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
7.70%
发文量
790
审稿时长
6 months
期刊介绍: The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions. Papers are sought which employ one or more of the following areas of classical analysis: • Analytic number theory • Functional analysis and operator theory • Real and harmonic analysis • Complex analysis • Numerical analysis • Applied mathematics • Partial differential equations • Dynamical systems • Control and Optimization • Probability • Mathematical biology • Combinatorics • Mathematical physics.
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