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The liberation set in the inverse eigenvalue problem of a graph
ID Lin, Jephian C.-H. (Author), ID Oblak, Polona (Author), ID Šmigoc, Helena (Author)

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Abstract
The inverse eigenvalue problem of a graph G is the problem of characterizing all lists of eigenvalues of real symmetric matrices whose off-diagonal pattern is prescribed by the adjacencies of G. The strong spectral property is a powerful tool in this problem, which identifies matrices whose entries can be perturbed while controlling the pattern and preserving the eigenvalues. The Matrix Liberation Lemma introduced by Barrett et al. in 2020 advances the notion to a more general setting. In this paper we revisit the Matrix Liberation Lemma and prove an equivalent statement, that reduces some of the technical difficulties in applying the result. We test our method on matrices of the form M=AB and show how this new approach supplements the results that can be obtained from the strong spectral property only. While extending this notion to the direct sums of graphs, we discover a surprising connection with the zero forcing game on Cartesian products of graphs. Throughout the paper we apply our results to resolve a selection of open cases for the inverse eigenvalue problem of a graph on six vertices.

Language:English
Keywords:symmetric matrix, inverse eigenvalue problem, strong spectral property, Matrix Liberation Lemma, zero forcing
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FRI - Faculty of Computer and Information Science
FMF - Faculty of Mathematics and Physics
Publication status:Published
Publication version:Version of Record
Year:2023
Number of pages:Str. 1-28
Numbering:Vol. 675
PID:20.500.12556/RUL-147499 This link opens in a new window
UDC:512
ISSN on article:0024-3795
DOI:10.1016/j.laa.2023.06.009 This link opens in a new window
COBISS.SI-ID:157762051 This link opens in a new window
Publication date in RUL:06.07.2023
Views:1107
Downloads:104
Metadata:XML DC-XML DC-RDF
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LIN, Jephian C.-H., OBLAK, Polona and ŠMIGOC, Helena, 2023, The liberation set in the inverse eigenvalue problem of a graph. Linear algebra and its applications [online]. 2023. Vol. 675, p. 1–28. [Accessed 11 April 2025]. DOI 10.1016/j.laa.2023.06.009. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=147499
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Record is a part of a journal

Title:Linear algebra and its applications
Shortened title:Linear algebra appl.
Publisher:Elsevier
ISSN:0024-3795
COBISS.SI-ID:1119247 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:simetrična matrika, inverzni problem lastnih vrednosti, krepka spektralna lastnost, ničelna prisila

Projects

Funder:Other - Other funder or multiple funders
Funding programme:Taiwan, National Science and Technology Council, Young Scholar Fellowship
Project number:NSTC-111-2628-M-110-002

Funder:ARRS - Slovenian Research Agency
Project number:P1-0222
Name:Algebra, teorija operatorjev in finančna matematika

Funder:ARRS - Slovenian Research Agency
Project number:J1-3004
Name:Hkratna podobnost matrik

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