矩阵指数范数的常数上界

Pub Date : 2022-02-01 DOI:10.1515/rnam-2022-0002
Y. Nechepurenko, G. Zasko
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引用次数: 0

摘要

这项工作致力于函数∥exp(tA)∥2上的常数(时间无关的)上限,其中t大于或等于0和A是一个方阵,其特征值具有负实部。根据Lyapunov方程的解,结合已知的随时间变化的指数上界得到的常数上界,提出了一个新的具有显著优点的常数上界。使用2 × 2矩阵和来自著名的NEP集合的中等大小的矩阵对所有这些常数上界进行了详细的比较。
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Constant upper bounds on the matrix exponential norm
Abstract This work is devoted to the constant (time-independent) upper bounds on the function ∥ exp(tA)∥2 where t ⩾ 0 and A is a square matrix whose eigenvalues have negative real parts. Along with some constant upper bounds obtained from known time-dependent exponential upper bounds based on the solutions of Lyapunov equations, a new constant upper bound is proposed that has significant advantages. A detailed comparison of all these constant upper bounds is carried out using 2 × 2 matrices and matrices of medium size from the well-known NEP collection.
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