Localised graph Maclaurin inequalities
Lucas Arag\~ao, Victor Souza

TL;DR
This paper extends the Maclaurin inequalities for graphs by incorporating a weight function to analyze local structures, settling a recent conjecture and generalizing previous localized results.
Contribution
It introduces a weighted extension of the graph Maclaurin inequalities that captures local graph structure and proves a conjecture by Kirsch and Nir.
Findings
Extended Maclaurin inequalities with local weights
Settled a recent conjecture of Kirsch and Nir
Unified previous localized results
Abstract
The Maclaurin inequalities for graphs are a broad generalisation of the classical theorems of Tur\'an and Zykov. In a nutshell they provide an asymptotically sharp answer to the following question: what is the maximum number of cliques of size in a -free graph with a given number of cliques of size ? We prove an extensions of the graph Maclaurin inequalities with a weight function that captures the local structure of the graph. As a corollary, we settle a recent conjecture of Kirsch and Nir, which simultaneously encompass the previous localised results of Brada\v{c}, Malec and Tompkins and of Kirsch and Nir.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Limits and Structures in Graph Theory · Markov Chains and Monte Carlo Methods
