Type: Article
Publication Date: 2020-11-01
Citations: 1
DOI: https://doi.org/10.1109/focs46700.2020.00106
The complexity of graph homomorphisms has been a subject of intense study [1], [2], [3], [4], [5], [6], [7], [8]. The partition function Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</sub> (·) of graph homomorphism is defined by a symmetric matrix A over C. We prove that the complexity dichotomy of [7] extends to bounded degree graphs. More precisely, we prove that either G → Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</sub> (G) is computable in polynomial-time for every G, or for some Δ > 0 it is #P-hard over (simple) graphs G with maximum degree Δ(G) ≤ Δ. The tractability criterion on A for this dichotomy is explicit, and can be decided in polynomial-time in the size of A. We also show that the dichotomy is effective in that either a P-time algorithm for, or a reduction from #SAT to, Z <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">A</sub> (·) can be constructed from A, in the respective cases.cases.
Action | Title | Year | Authors |
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+ PDF Chat | Bounded Degree Nonnegative Counting CSP | 2023 |
Jin‐Yi Cai Daniel P. Szabo |