Solutions of linear equations in pseudorandom sets

A common theme in modern combinatorics consists in proving sparse analogues of results known in the dense setting. We review some of these for linear systems of equations. We first prove sparse analogues for random sets of Szemerédi s theorem and Rado s theorem via the hypergraph container method. F...

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Detalhes bibliográficos
Autor: Ortega Sánchez-Colomer, Miquel
Formato: tesis de maestría
Fecha de publicación:2022
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/364896
Acesso em linha:https://hdl.handle.net/2117/364896
Access Level:acceso abierto
Palavra-chave:Combinatorial analysis
Combinatorics
Transference
Pseudorandomness
Combinacions (Matemàtica)
Classificació AMS::05 Combinatorics::05D Extremal combinatorics
Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica discreta::Combinatòria
Descrição
Resumo:A common theme in modern combinatorics consists in proving sparse analogues of results known in the dense setting. We review some of these for linear systems of equations. We first prove sparse analogues for random sets of Szemerédi s theorem and Rado s theorem via the hypergraph container method. Finally, we prove a sparse analogue for quasirandom sets of Roth s theorem via the regularity method.