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Counting the number of independent sets in chordal graphs

By Yoshio Okamoto, Takeaki Uno and Ryuhei Uehara

Abstract

We study some counting and enumeration problems for chordal graphs, especially concerning independent sets. We first provide the following efficient algorithms for a chordal graph: (1) a linear-time algorithm for counting the number of independent sets; (2) a linear-time algorithm for counting the number of maximum independent sets; (3) a polynomial-time algorithm for counting the number of independent sets of a fixed size. With similar ideas, we show that enumeration (namely, listing) of the independent sets, the maximum independent sets, and the independent sets of a fixed size in a chordal graph can be done in constant time per output. On the other hand, we prove that the following problems for a chordal graph are #P-complete: (1) counting the number of maximal independent sets; (2) counting the number of minimum maximal independent sets. With similar ideas, we also show that finding a minimum weighted maximal independent set in a chordal graph is NP-hard, and even hard to approximate

Topics: Chordal graph, counting, enumeration, independent set, NP-completeness, P-completeness, polynomial
Year: 2008
OAI identifier: oai:CiteSeerX.psu:10.1.1.136.1116
Provided by: CiteSeerX
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