Spanning trees in randomly perturbed graphs

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dc.contributor.authorJoos, Felixko
dc.contributor.authorKim, Jaehoonko
dc.date.accessioned2019-12-20T07:20:09Z-
dc.date.available2019-12-20T07:20:09Z-
dc.date.created2019-10-31-
dc.date.created2019-10-31-
dc.date.created2019-10-31-
dc.date.created2019-10-31-
dc.date.created2019-10-31-
dc.date.created2019-10-31-
dc.date.issued2020-01-
dc.identifier.citationRANDOM STRUCTURES & ALGORITHMS, v.56, no.1, pp.169 - 219-
dc.identifier.issn1042-9832-
dc.identifier.urihttp://hdl.handle.net/10203/270072-
dc.description.abstractA classical result of Komlos, Sarkozy, and Szemeredi states that every n-vertex graph with minimum degree at least (1/2 + o(1))n contains every n-vertex tree with maximum degree O(n/logn). Krivelevich, Kwan, and Sudakov proved that for every n-vertex graph G(alpha) with minimum degree at least alpha n for any fixed alpha > 0 and every n-vertex tree T with bounded maximum degree, one can still find a copy of T in G(alpha) with high probability after adding O(n) randomly chosen edges to G(alpha). We extend the latter results to trees with (essentially) unbounded maximum degree; for a given no(1)<=Delta <= cn/logn and alpha > 0, we determine up to a constant factor the number of random edges that we need to add to an arbitrary n-vertex graph with minimum degree alpha n in order to guarantee with high probability a copy of any fixed n-vertex tree with maximum degree at most Delta.-
dc.languageEnglish-
dc.publisherWILEY-
dc.titleSpanning trees in randomly perturbed graphs-
dc.typeArticle-
dc.identifier.wosid000490511700001-
dc.identifier.scopusid2-s2.0-85074082940-
dc.type.rimsART-
dc.citation.volume56-
dc.citation.issue1-
dc.citation.beginningpage169-
dc.citation.endingpage219-
dc.citation.publicationnameRANDOM STRUCTURES & ALGORITHMS-
dc.identifier.doi10.1002/rsa.20886-
dc.contributor.localauthorKim, Jaehoon-
dc.contributor.nonIdAuthorJoos, Felix-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorRandom graphs-
dc.subject.keywordAuthortrees-
dc.subject.keywordAuthorgraph embedding-
dc.subject.keywordPlusSMOOTHED ANALYSIS-
dc.subject.keywordPlusRANDOM EDGES-
dc.subject.keywordPlusALGORITHM-
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