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Majority rule at low temperatures on the square and triangular lattices, (1997)

by T Kennedy
Venue:J. Stat. Phys.
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The renormalization-group peculiarities of Griffiths and Pearce: What have we learned?,

by A C D van Enter - in Mathematical Results in Statistical Mechanics (Proceedings of the colloquium with the same name, Marseille-Luminy, , 1998
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Measures for lattice systems

by Roberto Fernández , 1998
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Gibbsian and non-Gibbsian states at Eurandom

by Aernout C. D. Van Enter, Frank Redig, Evgeny Verbitskiy , 2008
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Almost) Gibbsian description of the sign fields of SOS fields

by A C D V Enter , S B Shlosman
"... An example is presented of a measure on a lattice system which has a measure zero set of points (configurations) where some conditional probability can be discontinuous, but does not become a Gibbs measure under decimation (or other) transformations. We also discuss some related issues. ..."
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An example is presented of a measure on a lattice system which has a measure zero set of points (configurations) where some conditional probability can be discontinuous, but does not become a Gibbs measure under decimation (or other) transformations. We also discuss some related issues.

The renormalization-group peculiarities of . . .

by Aernout C. D. van Enter , 1998
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Renormalization Group, Non-Gibbsian states, their relationship and further developments

by Aernout C. D. Van Enter , 2005
"... We review what we have learned about the “Renormalization Group peculiarities ” which were discovered more than twentyfive years ago by Griffiths and Pearce. We discuss which of the questions they asked have been answered and which ones are still widely open. The problems they raised have led to the ..."
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We review what we have learned about the “Renormalization Group peculiarities ” which were discovered more than twentyfive years ago by Griffiths and Pearce. We discuss which of the questions they asked have been answered and which ones are still widely open. The problems they raised have led to the study of non-Gibbsian states (probability measures). We also mention some further related developments, which find applications in nonequilibrium questions and disordered models.
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