H2020Individual fellowship2018–2022

QuasiHyp · Quasi-random hypergraphs

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2018-10-01 → 2022-04-18
EU contribution
€239,861
Participants
2
Scheme
MSCA-IF

Lines connect the coordinator with its partners.

Results in brief

Quasi-random hypergraphs

This project aims to create novel mathematical methods that facilitate a better understanding of the properties of large networks. Large networks appear in many real-life situations such as the network of routers in the Internet, social networks like Facebook, Twitter and Linkedin, or protein-to-protein interactions inside a molecule. They can also be applied to many purely mathematical questions that, at first glance, seem completely unrelated. One of the important elements of this project will focus on providing novel ways that allow usage of computer in order to find formally correct justifications (mathematical proofs). Another important aspect of the project will revolve around randomness, which turns out to be extremely useful in various situations. In fact, for many mathematical problems involving decisions, we currently do not know anything that would perform even nearly as good as random choices do. This project aims to study ways that should improve such a situation and catch up with the randomness by being smart.

Data: CORDIS, © European Union

Project objective

This project concerns research on the frontier between discrete mathematics and computer science, and focuses on studying properties of randomly behaving discrete structures. Specifically, it studies quasi-random properties of k-uniform hypergraphs by using a combination of hypergraph regularity methods and flag algebras. The properties the project will be mainly focused on are containments and counting small substructures in large quasi-random hypergraphs. These questions are closely related to problems from other areas such as number theory, algorithm design, and property testing.

Original text from CORDIS.

Participants

  • UNIVERSITY OF HAMBURG · HamburgCoordinatorGermany
  • EMORY UNIVERSITY NON PROFIT CORP · AtlantaUnited States

Links

Data: CORDIS, © European Union