Larger Corner-Free Sets from Combinatorial Degenerations

Open Access
Authors
Publication date 01-2022
Host editors
  • M. Braverman
Book title 13th Innovations in Theoretical Computer Science Conference
Book subtitle ITCS 2022, January 31-February 3, 2022, Berkeley, CA, USA
ISBN (electronic)
  • 9783959772174
Series Leibniz International Proceedings in Informatics
Event 13th Innovations in Theoretical Computer Science Conference, ITCS 2022
Article number 48
Number of pages 20
Publisher Saarbrücken/Wadern: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
Organisations
  • Faculty of Science (FNWI) - Korteweg-de Vries Institute for Mathematics (KdVI)
Abstract

There is a large and important collection of Ramsey-type combinatorial problems, closely related to central problems in complexity theory, that can be formulated in terms of the asymptotic growth of the size of the maximum independent sets in powers of a fixed small hypergraph, also called the Shannon capacity. An important instance of this is the corner problem studied in the context of multiparty communication complexity in the Number On the Forehead (NOF) model. Versions of this problem and the NOF connection have seen much interest (and progress) in recent works of Linial, Pitassi and Shraibman (ITCS 2019) and Linial and Shraibman (CCC 2021). We introduce and study a general algebraic method for lower bounding the Shannon capacity of directed hypergraphs via combinatorial degenerations, a combinatorial kind of “approximation” of subgraphs that originates from the study of matrix multiplication in algebraic complexity theory (and which play an important role there) but which we use in a novel way. Using the combinatorial degeneration method, we make progress on the corner problem by explicitly constructing a corner-free subset in Fn2 × Fn2 of size Ω(3.39n/poly(n)), which improves the previous lower bound Ω(2.82n) of Linial, Pitassi and Shraibman (ITCS 2019) and which gets us closer to the best upper bound 4n−o(n). Our new construction of corner-free sets implies an improved NOF protocol for the Eval problem. In the Eval problem over a group G, three players need to determine whether their inputs x1, x2, x3 ∈ G sum to zero. We find that the NOF communication complexity of the Eval problem over Fn2 is at most 0.24n + O(log n), which improves the previous upper bound 0.5n + O(log n).

Document type Conference contribution
Language English
Published at https://doi.org/10.4230/LIPIcs.ITCS.2022.48
Other links https://www.scopus.com/pages/publications/85124033109
Downloads
LIPIcs-ITCS-2022-48-1 (Final published version)
Permalink to this page
Back