Generalisation of the Hammersley-Clifford theorem on bipartite graphs
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Abstract:
The Hammersley-Clifford theorem states that if the support of a Markov random field has a safe symbol, then it is a Gibbs state with some nearest neighbour interaction. In this paper we generalise the theorem with an added condition that the underlying graph is bipartite. Taking inspiration from Brightwell and Winkler (J. Combin. Theory Ser. B 78 (2000), 141–166) we introduce a notion of folding for configuration spaces called strong config-folding proving that if all Markov random fields supported on $X$ are Gibbs with some nearest neighbour interaction, then so are Markov random fields supported on the ‘strong config-folds’ and ‘strong config-unfolds’ of $X$.References
- Graham R. Brightwell and Peter Winkler, Gibbs measures and dismantlable graphs, J. Combin. Theory Ser. B 78 (2000), no. 1, 141–166. MR 1737630, DOI 10.1006/jctb.1999.1935
- Nishant Chandgotia, Markov random fields and measures with nearest neighbour potentials, MSc Thesis (2011).
- Nishant Chandgotia, Four-cycle free graphs, height functions, the pivot property and entropy minimality, Ergodic Theory Dynam. Systems (Accepted) (2015).
- Nishant Chandgotia, Guangyue Han, Brian Marcus, Tom Meyerovitch, and Ronnie Pavlov, One-dimensional Markov random fields, Markov chains and topological Markov fields, Proc. Amer. Math. Soc. 142 (2014), no. 1, 227–242. MR 3119198, DOI 10.1090/S0002-9939-2013-11741-7
- Nishant Chandgotia and Tom Meyerovitch, Markov random fields, Markov cocycles and the 3-colored chessboard, Israel J. Math. 215 (2016), no. 2, 909–964. MR 3552299, DOI 10.1007/s11856-016-1398-2
- Christopher J. Preston, Gibbs states on countable sets, Cambridge Tracts in Mathematics, No. 68, Cambridge University Press, London-New York, 1974. MR 0474556, DOI 10.1017/CBO9780511897122
- R. L. Dobrušin, Description of a random field by means of conditional probabilities and conditions for its regularity, Teor. Verojatnost. i Primenen 13 (1968), 201–229 (Russian, with English summary). MR 0231434
- Hans-Otto Georgii, Gibbs measures and phase transitions, De Gruyter Studies in Mathematics, vol. 9, Walter de Gruyter & Co., Berlin, 1988. MR 956646, DOI 10.1515/9783110850147
- Dan Geiger, Christopher Meek, and Bernd Sturmfels, On the toric algebra of graphical models, Ann. Statist. 34 (2006), no. 3, 1463–1492. MR 2278364, DOI 10.1214/009053606000000263
- J. M. Hammersley and P. Clifford, Markov field on finite graphs and lattices (1971).
- Steffen L. Lauritzen, Graphical models, Oxford Statistical Science Series, vol. 17, The Clarendon Press, Oxford University Press, New York, 1996. Oxford Science Publications. MR 1419991
- Douglas Lind and Brian Marcus, An introduction to symbolic dynamics and coding, Cambridge University Press, Cambridge, 1995. MR 1369092, DOI 10.1017/CBO9780511626302
- John Moussouris, Gibbs and Markov random systems with constraints, J. Statist. Phys. 10 (1974), 11–33. MR 432132, DOI 10.1007/BF01011714
- Richard Nowakowski and Peter Winkler, Vertex-to-vertex pursuit in a graph, Discrete Math. 43 (1983), no. 2-3, 235–239. MR 685631, DOI 10.1016/0012-365X(83)90160-7
- Karl Petersen and Klaus Schmidt, Symmetric Gibbs measures, Trans. Amer. Math. Soc. 349 (1997), no. 7, 2775–2811. MR 1422906, DOI 10.1090/S0002-9947-97-01934-X
Additional Information
- Nishant Chandgotia
- Affiliation: School of Mathematical Sciences, Tel Aviv University, Tel Aviv 69978, Israel
- MR Author ID: 1040568
- Email: nishant.chandgotia@gmail.com
- Received by editor(s): June 6, 2014
- Received by editor(s) in revised form: November 30, 2015
- Published electronically: May 1, 2017
- © Copyright 2017 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 369 (2017), 7107-7137
- MSC (2010): Primary 60K35; Secondary 82B20, 37B10
- DOI: https://doi.org/10.1090/tran/6899
- MathSciNet review: 3683105