License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ICALP.2021.62
URN: urn:nbn:de:0030-drops-141310
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14131/
Davies, Ewan ;
Perkins, Will
Approximately Counting Independent Sets of a Given Size in Bounded-Degree Graphs
Abstract
We determine the computational complexity of approximately counting and sampling independent sets of a given size in bounded-degree graphs. That is, we identify a critical density α_c(Δ) and provide (i) for α < α_c(Δ) randomized polynomial-time algorithms for approximately sampling and counting independent sets of given size at most α n in n-vertex graphs of maximum degree Δ; and (ii) a proof that unless NP=RP, no such algorithms exist for α > α_c(Δ). The critical density is the occupancy fraction of hard core model on the clique K_{Δ+1} at the uniqueness threshold on the infinite Δ-regular tree, giving α_c(Δ) ~ e/(1+e)1/(Δ) as Δ → ∞.
BibTeX - Entry
@InProceedings{davies_et_al:LIPIcs.ICALP.2021.62,
author = {Davies, Ewan and Perkins, Will},
title = {{Approximately Counting Independent Sets of a Given Size in Bounded-Degree Graphs}},
booktitle = {48th International Colloquium on Automata, Languages, and Programming (ICALP 2021)},
pages = {62:1--62:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-195-5},
ISSN = {1868-8969},
year = {2021},
volume = {198},
editor = {Bansal, Nikhil and Merelli, Emanuela and Worrell, James},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2021/14131},
URN = {urn:nbn:de:0030-drops-141310},
doi = {10.4230/LIPIcs.ICALP.2021.62},
annote = {Keywords: approximate counting, independent sets, Markov chains}
}
Keywords: |
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approximate counting, independent sets, Markov chains |
Collection: |
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48th International Colloquium on Automata, Languages, and Programming (ICALP 2021) |
Issue Date: |
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2021 |
Date of publication: |
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02.07.2021 |