Conference item
The complexity of approximately counting retractions
- Abstract:
- Let G be a graph that contains an induced subgraph H. A retraction from G to H is a homomorphism from G to H that is the identity function on H. Retractions are very well-studied: Given H, the complexity of deciding whether there is a retraction from an input graph G to H is completely classified, in the sense that it is known for which H this problem is tractable (assuming P ≠ NP). Similarly, the complexity of (exactly) counting retractions from G to H is classified (assuming FP ≠ #P). However, almost nothing is known about approximately counting retractions. Our first contribution is to give a complete trichotomy for approximately counting retractions to trees. The result is as follows: (1) Approximately counting retractions to a tree H is in FP if H is a star, a single looped vertex, or an edge with two loops. (2) Otherwise, if H is an irreflexive caterpillar or a partially bristled reflexive path, then approximately counting retractions to H is equivalent to approximately counting the independent sets of a bipartite graph — a problem which is complete in the approximate counting complexity class RHπ1. (3) Finally, if none of these hold, then approximately counting retractions to H is #P-complete under approximation-preserving reductions. Our second contribution is to locate the retraction counting problem in the complexity landscape of related approximate counting problems. Interestingly, our results are in contrast to the situation in the exact counting context. We show that the problem of approximately counting retractions is separated both from the problem of approximately counting homomorphisms and from the problem of approximately counting list homomorphisms — whereas for exact counting all three of these problems are interreducible. We also show that the number of retractions is at least as hard to approximate as both the number of surjective homomorphisms and the number of compactions. In contrast, exactly counting compactions is the hardest of these problems.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 535.6KB, Terms of use)
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- Publisher copy:
- 10.1137/1.9781611975482.133
Authors
+ Engineering and Physical Sciences Research Council
More from this funder
- Funding agency for:
- Focke, J
- Grant:
- EP/M508111/1
- Publisher:
- Society for Industrial and Applied Mathematics
- Host title:
- Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA2019), January 6-9, 2019, San Diego, California, USA
- Journal:
- ACM-SIAM Symposium on Discrete Algorithms More from this journal
- Pages:
- 2205-2215
- Publication date:
- 2019-01-01
- Acceptance date:
- 2018-09-27
- DOI:
- ISBN:
- 9781611975482
- Pubs id:
-
pubs:922228
- UUID:
-
uuid:b4f5fb5b-bae4-4892-828d-d9438dec7220
- Local pid:
-
pubs:922228
- Source identifiers:
-
922228
- Deposit date:
-
2018-09-28
- ARK identifier:
Terms of use
- Copyright holder:
- Society for Industrial and Applied Mathematics
- Copyright date:
- 2019
- Notes:
- © 2019 by SIAM. This is the publisher's version of the article. The final version is available online from Society for Industrial and Applied Mathematics at: 10.1137/1.9781611975482.133
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