TY - JOUR

T1 - Polynomial time randomised approximation schemes for the Tutte polynomial of dense graphs

AU - Alon, Noga

AU - Frieze, Alan

AU - Welsh, Dominic

N1 - Funding Information:
Department of Mathematics, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel. Email: noga@math.tau.ac.il. Research supported in part by a USA-Israeli BSF grant and by the Fund for Basic Research administered by the Israel Academy of Sciences. 'Department of Mathematics, Carnegie Mellon University, Pittsburgh PA15213, U.S.A., Supported by NSF grant CCR- 9225008 *Merton College and Mathematical Institute, Oxford, UK. Research supported in part by ESPRIT RAND.
Publisher Copyright:
© 1994 IEEE

PY - 1994

Y1 - 1994

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0002880455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0002880455&partnerID=8YFLogxK

U2 - 10.1109/SFCS.1994.365708

DO - 10.1109/SFCS.1994.365708

M3 - Conference article

AN - SCOPUS:0002880455

SN - 0272-5428

SP - 24

EP - 35

JO - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS

JF - Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS

T2 - Proceedings of the 35th IEEE Annual Symposium on Foundations of Computer Science

Y2 - 20 November 1994 through 22 November 1994

ER -