2000
DOI: 10.1002/1522-2616(200012)220:1<115::aid-mana115>3.0.co;2-i
|View full text |Cite
|
Sign up to set email alerts
|

Spectral Estimations for Can nical Systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
32
0

Year Published

2002
2002
2021
2021

Publication Types

Select...
3
3
1

Relationship

2
5

Authors

Journals

citations
Cited by 10 publications
(32 citation statements)
references
References 10 publications
0
32
0
Order By: Relevance
“…Moreover, the problem was posed to characterize all diagonal matrix-functions H such that the m-function satisfies (1.8). Some progress was made by H. Winkler [59,Theorem 4.2] and as one of the main results in this article we will solve this problem (see Corollary 3.2 and Theorem 3.14). Our approach can be seen as a development of the ideas in [33] and [6].…”
Section: Introductionmentioning
confidence: 95%
“…Moreover, the problem was posed to characterize all diagonal matrix-functions H such that the m-function satisfies (1.8). Some progress was made by H. Winkler [59,Theorem 4.2] and as one of the main results in this article we will solve this problem (see Corollary 3.2 and Theorem 3.14). Our approach can be seen as a development of the ideas in [33] and [6].…”
Section: Introductionmentioning
confidence: 95%
“…As the last ingredient on a canonical system, we see that a special type of a singular interval is necessary, when its spectral measure is finite, based on [14] or [16].…”
Section: Finite Measures and Singular Intervalsmentioning
confidence: 99%
“…Theorem 2.1 (Theorem 2.1 [14] or Theorem 4.11 [16]). The m-function of a canonical system has the form…”
Section: Finite Measures and Singular Intervalsmentioning
confidence: 99%
See 1 more Smart Citation
“…For Sturm-Liouville equations such estimates go back to, at least, [14], [2] and [3]; for Krein strings estimates for the principal Titchmarsh-Weyl coefficient were proved in [22] and [23]; for canonical systems some results were obtained in [41]. Estimates of the distribution function of the spectral measure are studied in, e.g.…”
mentioning
confidence: 99%