Meander Graphs
We consider a Markov chain Monte Carlo approach to the uniform sampling of meanders. Combinatorially, a meander $M = [A:B]$ is formed by two noncrossing perfect matchings, above $A$ and below $B$ the same endpoints, which form a single closed loop. We prove that meanders are connected under appropri...
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Format: | Article |
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Discrete Mathematics & Theoretical Computer Science
2011-01-01
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Series: | Discrete Mathematics & Theoretical Computer Science |
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Online Access: | https://dmtcs.episciences.org/2926/pdf |
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author | Christine E. Heitsch Prasad Tetali |
author_facet | Christine E. Heitsch Prasad Tetali |
author_sort | Christine E. Heitsch |
collection | DOAJ |
description | We consider a Markov chain Monte Carlo approach to the uniform sampling of meanders. Combinatorially, a meander $M = [A:B]$ is formed by two noncrossing perfect matchings, above $A$ and below $B$ the same endpoints, which form a single closed loop. We prove that meanders are connected under appropriate pairs of balanced local moves, one operating on $A$ and the other on $B$. We also prove that the subset of meanders with a fixed $B$ is connected under a suitable local move operating on an appropriately defined meandric triple in $A$. We provide diameter bounds under such moves, tight up to a (worst case) factor of two. The mixing times of the Markov chains remain open. |
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format | Article |
id | doaj.art-fd7eee7f0ea04f1180d1243aa6fb9ce6 |
institution | Directory Open Access Journal |
issn | 1365-8050 |
language | English |
last_indexed | 2024-04-25T02:03:33Z |
publishDate | 2011-01-01 |
publisher | Discrete Mathematics & Theoretical Computer Science |
record_format | Article |
series | Discrete Mathematics & Theoretical Computer Science |
spelling | doaj.art-fd7eee7f0ea04f1180d1243aa6fb9ce62024-03-07T14:49:33ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1365-80502011-01-01DMTCS Proceedings vol. AO,...Proceedings10.46298/dmtcs.29262926Meander GraphsChristine E. Heitsch0Prasad Tetali1School of Mathematics - Georgia Institute of TechnologySchool of Mathematics - Georgia Institute of TechnologyWe consider a Markov chain Monte Carlo approach to the uniform sampling of meanders. Combinatorially, a meander $M = [A:B]$ is formed by two noncrossing perfect matchings, above $A$ and below $B$ the same endpoints, which form a single closed loop. We prove that meanders are connected under appropriate pairs of balanced local moves, one operating on $A$ and the other on $B$. We also prove that the subset of meanders with a fixed $B$ is connected under a suitable local move operating on an appropriately defined meandric triple in $A$. We provide diameter bounds under such moves, tight up to a (worst case) factor of two. The mixing times of the Markov chains remain open.https://dmtcs.episciences.org/2926/pdfnoncrossing partitionsperfect matchingsmarkov chain monte carlocombinatorial enumeration[math.math-co] mathematics [math]/combinatorics [math.co][info.info-dm] computer science [cs]/discrete mathematics [cs.dm] |
spellingShingle | Christine E. Heitsch Prasad Tetali Meander Graphs Discrete Mathematics & Theoretical Computer Science noncrossing partitions perfect matchings markov chain monte carlo combinatorial enumeration [math.math-co] mathematics [math]/combinatorics [math.co] [info.info-dm] computer science [cs]/discrete mathematics [cs.dm] |
title | Meander Graphs |
title_full | Meander Graphs |
title_fullStr | Meander Graphs |
title_full_unstemmed | Meander Graphs |
title_short | Meander Graphs |
title_sort | meander graphs |
topic | noncrossing partitions perfect matchings markov chain monte carlo combinatorial enumeration [math.math-co] mathematics [math]/combinatorics [math.co] [info.info-dm] computer science [cs]/discrete mathematics [cs.dm] |
url | https://dmtcs.episciences.org/2926/pdf |
work_keys_str_mv | AT christineeheitsch meandergraphs AT prasadtetali meandergraphs |