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Implementations and the independent set polynomial below the Shearer threshold

Abstract:
The independent set polynomial is important in many areas of combinatorics, computer science, and statistical physics. For every integer ≥ 2, the Shearer threshold is the value λ∗() = ( − 1)−1/. It is known that for λ < −λ∗(), there are graphs G with maximum degree whose independent set polynomial, evaluated at λ, is at most 0. Also, there are no such graphs for any λ > −λ∗(). This paper is motivated by the computational problem of approximating the independent set polynomial when λ < −λ∗(). The key issue in complexity bounds for this problem is “implementation”. Informally, an implementation of a real number λ is a graph whose hard-core partition function, evaluated at λ, simulates a vertex-weight of λ in the sense that λ is the ratio between the contribution to the partition function from independent sets containing a certain vertex and the contribution from independent sets that do not contain that vertex. Implementations are the cornerstone of intractability results for the problem of approximately evaluating the independent set polynomial. Our main result is that, for any λ < −λ∗(), it is possible to implement a set of values that is dense over the reals. The result is tight in the sense that it is not possible to implement a set of values that is dense over the reals for any λ > λ∗(). Our result has already been used in a paper with Bezáková (STOC 2018) to show that it is #P-hard to approximate the evaluation of the independent set polynomial on graphs of degree at most at any value λ < −λ∗(). In the appendix, we give an additional incomparable inapproximability result (strengthening the inapproximability bound to an exponential factor, but weakening the hardness to NPhardness).
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.tcs.2022.10.025

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
ORCID:
0000-0003-1879-6089


Publisher:
Elsevier
Journal:
Theoretical Computer Science More from this journal
Volume:
939
Pages:
194-215
Publication date:
2022-10-26
Acceptance date:
2022-10-21
DOI:
ISSN:
0304-3975


Language:
English
Keywords:
Pubs id:
1286657
Local pid:
pubs:1286657
Deposit date:
2022-10-22

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