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Abstract / Description of output
We present two randomised approximate counting algorithms with O˜(n2−c/ε2) running time for some constant c>0 and accuracy ε:
(1) for the hard-core model with fugacity λ on graphs with maximum degree Δ when λ=O(Δ−1.5−c1) where c1=c/(2−2c);
(2) for spin systems with strong spatial mixing (SSM) on planar graphs with quadratic growth, such as Z2.
For the hard-core model, Weitz's algorithm (STOC, 2006) achieves sub-quadratic running time when correlation decays faster than the neighbourhood growth, namely when λ=o(Δ−2). Our first algorithm does not require this property and extends the range where sub-quadratic algorithms exist. Our second algorithm appears to be the first to achieve sub-quadratic running time up to the SSM threshold, albeit on a restricted family of graphs. It also extends to (not necessarily planar) graphs with polynomial growth, such as Zd, but with a running time of the form O˜(n2ε−2/2c(logn)1/d) where d is the exponent of the polynomial growth and c>0 is some constant.
(1) for the hard-core model with fugacity λ on graphs with maximum degree Δ when λ=O(Δ−1.5−c1) where c1=c/(2−2c);
(2) for spin systems with strong spatial mixing (SSM) on planar graphs with quadratic growth, such as Z2.
For the hard-core model, Weitz's algorithm (STOC, 2006) achieves sub-quadratic running time when correlation decays faster than the neighbourhood growth, namely when λ=o(Δ−2). Our first algorithm does not require this property and extends the range where sub-quadratic algorithms exist. Our second algorithm appears to be the first to achieve sub-quadratic running time up to the SSM threshold, albeit on a restricted family of graphs. It also extends to (not necessarily planar) graphs with polynomial growth, such as Zd, but with a running time of the form O˜(n2ε−2/2c(logn)1/d) where d is the exponent of the polynomial growth and c>0 is some constant.
Original language | English |
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Title of host publication | 51st International Colloquium on Automata, Languages, and Programming |
Editors | Karl Bringmann, Martin Grohe, Gabriele Puppis, Ola Svensson |
Publisher | Schloss Dagstuhl - Leibniz-Zentrum für Informatik |
Pages | 1-20 |
Number of pages | 20 |
ISBN (Electronic) | 9783959773225 |
DOIs | |
Publication status | Published - 2 Jul 2024 |
Event | 51st EATCS International Colloquium on Automata, Languages and Programming - Tallinn University, Tallinn, Estonia Duration: 8 Jul 2024 → 12 Jul 2024 https://compose.ioc.ee/icalp2024/ |
Publication series
Name | Leibniz International Proceedings in Informatics |
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Publisher | Schloss Dagstuhl – Leibniz-Zentrum für Informatik |
ISSN (Electronic) | 1868-8969 |
Conference
Conference | 51st EATCS International Colloquium on Automata, Languages and Programming |
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Abbreviated title | ICALP 2024 |
Country/Territory | Estonia |
City | Tallinn |
Period | 8/07/24 → 12/07/24 |
Internet address |
Keywords / Materials (for Non-textual outputs)
- randomised algorithm
- approximate counting
- spin system
- sub-quadratic algorithm
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