Polynomial time randomised approximation schemes for the Tutte polynomial of dense graphs

Noga Alon, Alan Frieze, Dominic Welsh

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Abstract

The Tutte-Grothendieck polynomial T(G; x, y) of a graph G encodes numerous interesting combinatorial quantities associated with the graph. Its evaluation in various points in the (x,y) plane give the number of spanning forests of the graph, the number of its strongly connected orientations, the number of its proper k-colorings, the (all terminal) reliability probability of the graph, and various other invariants the exact computation of each of which is well known to be #P-hard. Here we develop a general technique that supplies fully polynomial randomised approximation schemes for approximating the value of T(G; x, y) for any dense graph G, that is, any graph on n vertices whose minimum degree is Ω(n), whenever x 1 and y 1, and in various additional points. This region includes evaluations of reliability and partition functions of the ferromagnetic Q-state Potts model. Extensions to linear matroids where T specialises to the weight enumerator of linear codes are considered as well.

Original languageEnglish (US)
Pages (from-to)24-35
Number of pages12
JournalProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS
DOIs
StatePublished - 1994
Externally publishedYes
EventProceedings of the 35th IEEE Annual Symposium on Foundations of Computer Science - Santa Fe, NM, USA
Duration: Nov 20 1994Nov 22 1994

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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