Introduction
Carlo Garoni () and
Stefano Serra-Capizzano ()
Additional contact information
Carlo Garoni: University of Insubria, Department of Science and High Technology
Stefano Serra-Capizzano: University of Insubria, Department of Science and High Technology
Chapter Chapter 1 in Generalized Locally Toeplitz Sequences: Theory and Applications, 2017, pp 1-5 from Springer
Abstract:
Abstract The theory of generalized locally ToeplitzGeneralized Locally Toeplitz (GLT) (GLT) sequences stems from Tilli’s workLocally Toeplitz (LT) on locally Toeplitz (LT) sequences [120] and from the theory of Toeplitz matrices [5, 23, 24, 28, 29, 70, 89, 119, 123, 124, 129], and was developed by the authors in [60–62, 106, 107]. It was devised in order to solve a specific application problem, namely the problem of computing/analyzing the spectral distribution of matrices arising from the numerical discretization of integral equationsIEs (IEs) and, especially, differential equationsDEs (DEs). A final goal of this spectral analysis is the design of efficient numerical methods for computing the related numerical solutions. As we shall see in Chap. 10 , the theory of GLT sequences finds applications also in other areas of science, but the computation of the spectral distribution of DE discretization matrices remains the main application. Section 1.1 is therefore devoted to a general description of this application. Then, in Sect. 1.2, we provide an overview of the theory of GLT sequences. After reading this introductory chapter, one is ready to enter into the mathematical details with an already-enough-precise idea of what we are going to deal with.
Keywords: Related Numerical Solutions; Local Toeplitz (LT); Specific Application Problem; Toeplitz Matrices; Asymptotic Spectral Distribution (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-53679-8_1
Ordering information: This item can be ordered from
http://www.springer.com/9783319536798
DOI: 10.1007/978-3-319-53679-8_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().