Affiliation:
1. University of Leeds, Leeds, United Kingdom
2. University of Liverpool, Liverpool, United Kingdom
3. University of Warwick, Coventry, United Kingdom
Abstract
It is known that if P and NP are different then there is an infinite hierarchy of different complexity classes that lie strictly between them. Thus, if P ≠ NP, it is not possible to classify NP using any finite collection of complexity classes. This situation has led to attempts to identify smaller classes of problems within NP where
dichotomy
results may hold: every problem is either in P or is NP-complete. A similar situation exists for
counting
problems. If P ≠#P, there is an infinite hierarchy in between and it is important to identify subclasses of #P where dichotomy results hold. Graph homomorphism problems are a fertile setting in which to explore dichotomy theorems. Indeed, Feder and Vardi have shown that a dichotomy theorem for the problem of deciding whether there is a homomorphism to a fixed directed acyclic graph would resolve their long-standing dichotomy conjecture for all constraint satisfaction problems. In this article, we give a dichotomy theorem for the problem of counting homomorphisms to directed acyclic graphs. Let
H
be a fixed directed acyclic graph. The problem is, given an input digraph
G
, determine how many homomorphisms there are from
G
to
H
. We give a graph-theoretic classification, showing that for some digraphs
H
, the problem is in P and for the rest of the digraphs
H
the problem is #P-complete. An interesting feature of the dichotomy, which is absent from previously known dichotomy results, is that there is a rich supply of tractable graphs
H
with complex structure.
Publisher
Association for Computing Machinery (ACM)
Subject
Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software
Cited by
53 articles.
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