Local algorithms for maximum cut and minimum bisection on locally treelike regular graphs of large degree
Abstract
Given a graph of degree over vertices, we consider the problem of computing a near maximum cut or a near minimum bisection in polynomial time. For graphs of girth , we develop a local message passing algorithm whose complexity is , and that achieves near optimal cut values among all ‐local algorithms. Focusing on max‐cut, the algorithm constructs a cut of value , where is the value of the Parisi formula from spin glass theory, and (subscripts indicate the asymptotic variables). Our result generalizes to locally treelike graphs, that is, graphs whose girth becomes after removing a small fraction of vertices. Earlier work established that, for random ‐regular graphs, the typical max‐cut value is . Therefore our algorithm is nearly optimal on such graphs. An immediate corollary of this result is that random regular graphs have nearly minimum max‐cut, and nearly maximum min‐bisection among all regular locally treelike graphs. This can be viewed as a combinatorial version of the near‐Ramanujan property of random regular graphs.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- May 10, 2023
- Source ID
- 10.1002/rsa.21149
Entities
People
- A. El Alaoui
- Andrea Montanari
- Mark Sellke
Organizations
- Cornell University
- National Science Foundation
- Office of Naval Research
- Stanford University