
TL;DR
This paper advances the understanding of maximum cut sizes in random regular graphs by establishing tighter 2-RSB upper bounds, improving upon previous 1-RSB bounds predicted by physics-based methods.
Contribution
It introduces 2-RSB upper bounds for maximum cut in random regular graphs and refines their parameters to surpass existing 1-RSB bounds.
Findings
Established 2-RSB upper bounds for maximum cut
Refined parameters to improve bounds beyond 1-RSB predictions
Provided tighter bounds closer to the true maximum cut values
Abstract
In the context of random regular graphs, the size of the maximum cut is probably the second most studied graph parameter after the independence ratio. Zdeborov\'a and Boettcher used the cavity method, a non-rigorous statistical physics technique, to predict one-step replica symmetry breaking (1-RSB) formulas. Coja-Ohglan et al. confirmed these predictions as rigorous upper bounds using the interpolation method. While these upper bounds were not expected to be exact, they may be very close to the true values. In this paper, we establish 2-RSB upper bounds and fine-tune their parameters to beat the aforementioned 1-RSB bounds.
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
TopicsComplexity and Algorithms in Graphs · Cryptography and Data Security · Advanced Surface Polishing Techniques
