A Perfect Sampler for Hypergraph Independent Sets
May 04, 2022 Β· Declared Dead Β· π International Colloquium on Automata, Languages and Programming
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Authors
Guoliang Qiu, Yanheng Wang, Chihao Zhang
arXiv ID
2205.02050
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DM
Citations
12
Venue
International Colloquium on Automata, Languages and Programming
Last Checked
4 months ago
Abstract
The problem of uniformly sampling hypergraph independent sets is revisited. We design an efficient perfect sampler for the problem under a condition similar to that of the asymmetric LovΓ‘sz Local Lemma. When applied to $d$-regular $k$-uniform hypergraphs on $n$ vertices, our sampler terminates in expected $O(n\log n)$ time provided $d\le c\cdot 2^{k/2}/k$ for some constant $c>0$. If in addition the hypergraph is linear, the condition can be weaken to $d\le c\cdot 2^{k}/k^2$ for some constant $c>0$, matching the rapid mixing condition for Glauber dynamics in Hermon, Sly and Zhang [HSZ19].
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