Title: Finding and Counting k-cuts in Graphs
| Speaker: | Anupam Gupta |
| Affiliation: |
Carnegie Mellon University |
| Zoom: | Please email Emma Watson |
Abstract:
For an undirected graph with edge weights, a k-cut is a set of edges whose deletion breaks the graph into at least k connected components. How fast can we find a minimum-weight k-cut? And how many minimum k-cuts can a graph have? The two problems are closely linked. In 1996 Karger and Stein showed how to find a minimum k-cut in approximately n^{2k-2} time; their proof also bounded the number of minimum k-cuts by n^{2k-2}, using the probabilistic method. Prior to our work, these were the best results known. Moreover, both these results were not known to be tight, except for the case of k=2 (that of the classical problem of finding graph min-cuts).
In this talk, we show how both these results can be improved to approximately n^k. We discuss how extremal bounds for set systems, plus a refined analysis of the Karger-Stein algorithm, can give near-optimal bounds for the problem.
This is joint work with Euiwoong Lee (U.Michigan) and Jason Li (CMU).