2016
DOI: 10.1016/j.cjph.2016.07.010
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Using new approaches to obtain Gibbs measures of Vannimenus model on a Cayley tree

Abstract: Abstract. In this paper, we consider Vannimenus model with competing nearest-neighbors and prolonged next-nearest-neighbors interactions on a Cayley tree. For this model we define Markov random fields with memory of length 2. By using a new approach, we obtain new sets of Gibbs measures of Ising-Vannimenus model on Cayley tree of order 2. We construct the recurrence equations corresponding Ising-Vannimenus model. We prove the Kolmogorov consistency condition. We investigate the translation-invariant and period… Show more

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Cited by 17 publications
(38 citation statements)
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“…It is well known that the comprehension of phase transitions is one of the most interesting, perhaps the central, problems of equilibrium statistical mechanics [7]. By the phase transition we mean the existence of at least two distinct Gibbs measures associated with the given model [1,8,18,28]. We will investigate the existence of translation invariant Gibbs measures on a wide class of the TCL, restricted only to the memory of length 2.…”
Section: H Akınmentioning
confidence: 99%
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“…It is well known that the comprehension of phase transitions is one of the most interesting, perhaps the central, problems of equilibrium statistical mechanics [7]. By the phase transition we mean the existence of at least two distinct Gibbs measures associated with the given model [1,8,18,28]. We will investigate the existence of translation invariant Gibbs measures on a wide class of the TCL, restricted only to the memory of length 2.…”
Section: H Akınmentioning
confidence: 99%
“…Previously, researchers frequently used memory of length 1 over a Cayley tree to study Gibbs measures [31]. In [1,21,22,34], the authors have studied Gibbs measures with a memory of length 2 for generalized ANNNI models on a Cayley tree of order 2 by means of a vector valued function (see [35] for details). In [1,21], the next generalizations are considered.…”
Section: Gibbs Measuresmentioning
confidence: 99%
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