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Fine-grained dichotomies for the Tutte plane and Boolean #CSP

Abstract:

Jaeger, Vertigan, and Welsh [15] proved a dichotomy for the complexity of evaluating the Tutte polynomial at fixed points: The evaluation is #P-hard almost everywhere, and the remaining points admit polynomial-time algorithms. Dell, Husfeldt, and Wahlén [9] and Husfeldt and Taslaman [12], in combination with the results of Curticapean [7], extended the #P-hardness results to tight lower bounds under the counting exponential time hypothesis #ETH, with the exception of the line y = 1, which was left open. We complete the dichotomy theorem for the Tutte polynomial under #ETH by proving that the number of all acyclic subgraphs of a given n-vertex graph cannot be determined in time exp(o(n)) unless #ETH fails.
Another dichotomy theorem we strengthen is the one of Creignou and Hermann [6] for counting the number of satisfying assignments to a constraint satisfaction problem instance over the Boolean domain. We prove that all #P-hard cases cannot be solved in time exp(o(n)) unless #ETH fails. The main ingredient is to prove that the number of independent sets in bipartite graphs with n vertices cannot be computed in time exp(o(n)) unless #ETH fails.
In order to prove our results, we use the block interpolation idea by Curticapean [7] and transfer it to systems of linear equations that might not directly correspond to interpolation.
Publication status:
Published
Peer review status:
Reviewed (other)

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Publisher copy:
10.4230/LIPIcs.IPEC.2016.9

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Oxford college:
Merton, Merton College
Department:
Unknown
Role:
Author


Publisher:
Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Host title:
11th International Symposium on Parameterized and Exact Computation (IPEC 2016)
Journal:
11th International Symposium on Parameterized and Exact Computation More from this journal
Volume:
63
Issue:
9
Pages:
9:1-9:14
Series:
Leibniz International Proceedings in Informatics (LIPIcs)
Publication date:
2017-01-01
Acceptance date:
2016-07-24
DOI:
ISSN:
1868-8969
ISBN:
9783959770231


Pubs id:
pubs:1068854
UUID:
uuid:fe0fd728-8097-4c55-82e5-1f2c28312215
Local pid:
pubs:1068854
Source identifiers:
1068854
Deposit date:
2019-10-31
ARK identifier:

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