2021
DOI: 10.26493/2590-9770.1404.61e
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Minimum supports of eigenfunctions of graphs: a survey

Abstract: In this work we present a survey of results on the problem of finding the minimum cardinality of the support of eigenfunctions of graphs.

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Cited by 5 publications
(4 citation statements)
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References 74 publications
(135 reference statements)
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“…More generally, one can ask what is the minimum difference between two MRD codes of the same parameters. This question is common for many classes of optimal codes, and one of the developed methods to make lower bounds for this minimum is to study eigenspaces of the ambient graph, see [24] for a survey for different graphs and [25] for the bilinear form graphs.…”
Section: Discussionmentioning
confidence: 99%
“…More generally, one can ask what is the minimum difference between two MRD codes of the same parameters. This question is common for many classes of optimal codes, and one of the developed methods to make lower bounds for this minimum is to study eigenspaces of the ambient graph, see [24] for a survey for different graphs and [25] for the bilinear form graphs.…”
Section: Discussionmentioning
confidence: 99%
“…More generally, one can ask what is the minimum difference between two MRD codes of the same parameters. This question is common for many classes of optimal codes, and one of the developed methods to make lower bounds for this minimum is to study eigenspaces of the ambient graph, see [32] for a survey for different graphs and [33] for the bilinear form graphs.…”
Section: Codes With Different Affine Ranksmentioning
confidence: 99%
“…Although eigenfunctions of graphs receive less attention of researchers in contrast to their eigenvalues, there are still tons of related literature. We refer to the recent survey [22] for a summary of results on the problem of finding the minimum cardinality of support of eigenfunctions of graphs and characterising the optimal eigenfunctions. The following lemma gives a lower bound for the number of non-zeroes (i.e., the cardinality of the support) for an eigenfunction of a strongly regular graph.…”
Section: The Weight-distribution Bound For Strongly Regular Graphsmentioning
confidence: 99%