Cube edge graph and similar graphs as forbidden structures

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorŠapokaitė, Patricija
dc.contributor.authorZhukov, Matvei
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.schoolSchool of Scienceen
dc.contributor.supervisorFreij, Ragnar
dc.date.accessioned2025-08-19T17:03:32Z
dc.date.available2025-08-19T17:03:32Z
dc.date.issued2025-07-30
dc.description.abstractIn extremal graph theory, degenerate (bipartite) extremal graph problems occupy a special place due to Erd{\H{o}}s--Simonovits theorem. One of the smallest graphs for which the asymptotic size of the largest graph avoiding it is unknown is a cube edge graph $Q_8$. Its symmetries and its membership in different classes, such as cycles with all diagonals and prism graphs allows to apply different methods to estimate its extremal numbers. In this thesis a review of known classical and modern methods in degenerate extremal graph theory is given with a focus on the graph $Q_8$ and similar graphs such as hypercube edge graphs and prism graphs. Applicabilities of these approaches are explored and their limitations are analysed.en
dc.format.extent33
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/138075
dc.identifier.urnURN:NBN:fi:aalto-202508196304
dc.language.isoenen
dc.programmeMaster's Programme in Mathematics and Operations Researchen
dc.programme.majorMathematicsen
dc.subject.keywordTuran numbersen
dc.subject.keywordextremal graph theoryen
dc.subject.keywordforbidden subgraph problemen
dc.subject.keywordcombinatoricsen
dc.subject.keywordextremal combinatoricsen
dc.subject.keywordsidorenko conjectureen
dc.titleCube edge graph and similar graphs as forbidden structuresen
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessyes

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
master_Zhukov_Matvei_2025.pdf
Size:
296.5 KB
Format:
Adobe Portable Document Format