2016
DOI: 10.1007/s10955-016-1495-y
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Phase Transitions for Quantum Markov Chains Associated with Ising Type Models on a Cayley Tree

Abstract: The main aim of the present paper is to prove the existence of a phase transition in quantum Markov chain (QMC) scheme for the Ising type models on a Cayley tree. Note that this kind of models do not have one-dimensional analogous, i.e. the considered model persists only on trees. In this paper, we provide a more general construction of forward QMC. In that construction, a QMC is defined as a weak limit of finite volume states with boundary conditions, i.e. QMC depends on the boundary conditions. Our main resu… Show more

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Cited by 31 publications
(37 citation statements)
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“…In section 7, we prove a reconstruction result. Finally, in section 8, we will establish that any locally faithful QMS associated with localized conditional expectations can be considered as Gibbs state corresponding to Hamiltonians (on the Cayley tree) with commuting competing interactions which implies that all QMC considered in [31,32] are indeed QMS.…”
Section: Introductionmentioning
confidence: 98%
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“…In section 7, we prove a reconstruction result. Finally, in section 8, we will establish that any locally faithful QMS associated with localized conditional expectations can be considered as Gibbs state corresponding to Hamiltonians (on the Cayley tree) with commuting competing interactions which implies that all QMC considered in [31,32] are indeed QMS.…”
Section: Introductionmentioning
confidence: 98%
“…its finer localization structure of the considered tree through considering suitable quasi-conditional expectation called localized, which keeps into account this finer localization and to prove the structure theorem corresponding to this localization. An interesting consequence of this structure theorem is that the notion of competing interactions, previously introduced by hands [31,32], now emerges as a consequence of the intrinsic denition combined with the structure theorem. Therefore, the present paper's main result differs from the non-homogeneous one dimensional case studied in [4].…”
Section: Introductionmentioning
confidence: 98%
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