PROEXGRA

Problems in Extremal Graph Theory

 Coordinatore THE UNIVERSITY OF BIRMINGHAM 

 Organization address address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT

contact info
Titolo: Ms.
Nome: May
Cognome: Chung
Email: send email
Telefono: 441214000000
Fax: 441214000000

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 165˙540 €
 EC contributo 165˙540 €
 Programma FP7-PEOPLE
Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call FP7-PEOPLE-2009-IEF
 Funding Scheme MC-IEF
 Anno di inizio 2010
 Periodo (anno-mese-giorno) 2010-10-01   -   2014-10-02

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    THE UNIVERSITY OF BIRMINGHAM

 Organization address address: Edgbaston
city: BIRMINGHAM
postcode: B15 2TT

contact info
Titolo: Ms.
Nome: May
Cognome: Chung
Email: send email
Telefono: 441214000000
Fax: 441214000000

UK (BIRMINGHAM) coordinator 165˙540.80

Mappa


 Word cloud

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networks    graph    subgraph    pieces    graphs    theory   

 Obiettivo del progetto (Objective)

'Graph theory is a modern branch of mathematics that has developed during the 20th century. Graphs allow us to model real life situations such as social networks, telecommunication networks or road networks. In order to fully understand which are the most relevent properties for graphs, one has to investigate how different properties of graphs interact. This is the core of extremal graph theory. One very natural question in the field is what parameters enforce the existence of a given particular subgraph. More generally, embedding problems seek sufficient condition a graph (or digraph) needs to have in order to contain a given subgraph. Roughly speaking Ramsey theory states that `complete disorder is impossible'. In many cases, this means that if a structure which is arbitrarily partitioned in several pieces, a specific substructure is completely contained in one of these pieces. Within the project, we aim to solve several important problems in the above areas using probabilistic techniques such as the Regularity lemma.'

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