Asymptotic spectra of large (grid) graphs with a uniform local structure, Part II: Numerical applications

In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω⊂Rd, d≥1. When Ω=[0,1], such graphs include the standard Toeplitz graphs and, for Ω=[0,1]d, the considered class includes d-level Toeplitz graphs. In the general...

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Vydáno v:Journal of computational and applied mathematics Ročník 437; s. 115461
Hlavní autoři: Adriani, Andrea, Bianchi, Davide, Ferrari, Paola, Serra-Capizzano, Stefano
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.2024
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ISSN:0377-0427, 1879-1778, 1879-1778
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Abstract In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω⊂Rd, d≥1. When Ω=[0,1], such graphs include the standard Toeplitz graphs and, for Ω=[0,1]d, the considered class includes d-level Toeplitz graphs. In the general case, the underlying sequence of adjacency matrices has a canonical eigenvalue distribution, in the Weyl sense, and it has been shown in the theoretical part of this work that we can associate to it a symbol f. The knowledge of the symbol and of its basic analytical features provides key information on the eigenvalue structure in terms of localization, spectral gap, clustering, and global distribution. In the present paper, many different applications are discussed and various numerical examples are presented in order to underline the practical use of the developed theory. Tests and applications are mainly obtained from the approximation of differential operators via numerical schemes such as Finite Differences, Finite Elements, and Isogeometric Analysis. Moreover, we show that more applications can be taken into account, since the results presented here can be applied as well to study the spectral properties of adjacency matrices and Laplacian operators of general large graphs and networks, whenever the involved matrices enjoy a uniform local structure.
AbstractList In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω⊂Rd, d≥1. When Ω=[0,1], such graphs include the standard Toeplitz graphs and, for Ω=[0,1]d, the considered class includes d-level Toeplitz graphs. In the general case, the underlying sequence of adjacency matrices has a canonical eigenvalue distribution, in the Weyl sense, and it has been shown in the theoretical part of this work that we can associate to it a symbol f. The knowledge of the symbol and of its basic analytical features provides key information on the eigenvalue structure in terms of localization, spectral gap, clustering, and global distribution. In the present paper, many different applications are discussed and various numerical examples are presented in order to underline the practical use of the developed theory. Tests and applications are mainly obtained from the approximation of differential operators via numerical schemes such as Finite Differences, Finite Elements, and Isogeometric Analysis. Moreover, we show that more applications can be taken into account, since the results presented here can be applied as well to study the spectral properties of adjacency matrices and Laplacian operators of general large graphs and networks, whenever the involved matrices enjoy a uniform local structure.
In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω ⊂ R d , d ≥ 1. When Ω = [0, 1], such graphs include the standard Toeplitz graphs and, for Ω = [0,1] d , the considered class includes d -level Toeplitz graphs. In the general case, the underlying sequence of adjacency matrices has a canonical eigenvalue distribution, in the Weyl sense, and it has been shown in the theoretical part of this work that we can associate to it a symbol f . The knowledge of the symbol and of its basic analytical features provides key information on the eigenvalue structure in terms of localization, spectral gap, clustering, and global distribution. In the present paper, many different applications are discussed and various numerical examples are presented in order to underline the practical use of the developed theory. Tests and applications are mainly obtained from the approximation of differential operators via numerical schemes such as Finite Differences, Finite Elements, and Isogeometric Analysis. Moreover, we show that more applications can be taken into account, since the results presented here can be applied as well to study the spectral properties of adjacency matrices and Laplacian operators of general large graphs and networks, whenever the involved matrices enjoy a uniform local structure.
ArticleNumber 115461
Author Bianchi, Davide
Ferrari, Paola
Serra-Capizzano, Stefano
Adriani, Andrea
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Keywords Graph Laplacian
05C22
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Multigrid methods
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Graphs
Asymptotic spectra
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PDE discretizations
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Preconditioning
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Snippet In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω⊂Rd, d≥1. When...
In the current work we are concerned with sequences of graphs having a grid geometry, with a uniform local structure in a bounded domain Ω ⊂ R d , d ≥ 1. When...
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StartPage 115461
SubjectTerms Asymptotic spectra
Beräkningsvetenskap med inriktning mot numerisk analys
Graph Laplacian
Graphs
Multigrid methods
PDE discretizations
Preconditioning
Scientific Computing with specialization in Numerical Analysis
Title Asymptotic spectra of large (grid) graphs with a uniform local structure, Part II: Numerical applications
URI https://dx.doi.org/10.1016/j.cam.2023.115461
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-509946
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