A growth estimate for the monodromy matrix of a canonical system

IF 1 3区 数学 Q1 MATHEMATICS Journal of Spectral Theory Pub Date : 2022-02-28 DOI:10.4171/jst/437
R. Pruckner, H. Woracek
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引用次数: 1

Abstract

We investigate the spectrum of 2-dimensional canonical systems in the limit circle case. It is discrete and, by the Krein-de Branges formula, cannot be more dense than the integers. But in many cases it will be more sparse. The spectrum of a particular selfadjoint realisation coincides with the zeroes of one entry of the monodromy matrix of the system. Classical function theory thus establishes an immediate connection between the growth of the monodromy matrix and the distribution of the spectrum. We prove a generic and flexibel upper estimate for the monodromy matrix, use it to prove a bound for the case of a continuous Hamiltonian, and construct examples which show that this bound is sharp. The first two results run along the lines of earlier work of R.Romanov, but significantly improve upon these results. This is seen even on the rough scale of exponential order.
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正则系统单矩阵的增长估计
我们研究了极限圆情形下二维正则系统的谱。它是离散的,根据克雷因·德·布兰吉斯公式,它的密度不可能比整数更大。但在许多情况下,它会更加稀疏。特定自伴随实现的谱与系统的单调矩阵的一个条目的零重合。因此,经典函数理论在单调矩阵的增长和谱的分布之间建立了直接的联系。我们证明了单调矩阵的一个一般和flexibel上估计,用它证明了连续哈密顿量情况下的一个界,并构造了证明这个界是尖锐的例子。前两个结果与R.Romanov早期的工作一致,但在这些结果的基础上有了显著的改进。这甚至可以在指数阶的粗略尺度上看到。
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来源期刊
Journal of Spectral Theory
Journal of Spectral Theory MATHEMATICS, APPLIED-MATHEMATICS
CiteScore
2.00
自引率
0.00%
发文量
30
期刊介绍: The Journal of Spectral Theory is devoted to the publication of research articles that focus on spectral theory and its many areas of application. Articles of all lengths including surveys of parts of the subject are very welcome. The following list includes several aspects of spectral theory and also fields which feature substantial applications of (or to) spectral theory. Schrödinger operators, scattering theory and resonances; eigenvalues: perturbation theory, asymptotics and inequalities; quantum graphs, graph Laplacians; pseudo-differential operators and semi-classical analysis; random matrix theory; the Anderson model and other random media; non-self-adjoint matrices and operators, including Toeplitz operators; spectral geometry, including manifolds and automorphic forms; linear and nonlinear differential operators, especially those arising in geometry and physics; orthogonal polynomials; inverse problems.
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