2021
DOI: 10.1007/978-3-030-81976-7_3
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Chaos in p-adic Statistical Lattice Models: Potts Model

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Cited by 4 publications
(2 citation statements)
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“…We point out that statistical interpretations of these p$$ p $$‐adic probabilities have been discussed in previous studies [15, 20]. The development of a p$$ p $$‐adic version of the Kolmogorov's theorem [21, 22] offered further investigation of statistical mechanics models in the context of p$$ p $$‐adic probability theory [23]. A main question of the lattice models in the p$$ p $$‐adic statistical mechanics is to describe p$$ p $$‐adic Gibbs measures and detect phase transitions.…”
Section: Introductionmentioning
confidence: 91%
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“…We point out that statistical interpretations of these p$$ p $$‐adic probabilities have been discussed in previous studies [15, 20]. The development of a p$$ p $$‐adic version of the Kolmogorov's theorem [21, 22] offered further investigation of statistical mechanics models in the context of p$$ p $$‐adic probability theory [23]. A main question of the lattice models in the p$$ p $$‐adic statistical mechanics is to describe p$$ p $$‐adic Gibbs measures and detect phase transitions.…”
Section: Introductionmentioning
confidence: 91%
“…The offered approach opens new insight in better understanding hidden properties of the physical models. First, p$$ p $$‐adic lattice models have been appeared in the literature [24–28] to investigate phase transition issues of certain p$$ p $$‐adic models over Cayley trees (see Mukhamedov and Khakimov [23] for recent review). In previous works [29–36], using chaotic behavior of the p$$ p $$‐adic renormalization group (dynamical systems approach) technique, it has been established vastness of the set of p$$ p $$‐adic Gibbs measures for the Potts models on a Cayley tree.…”
Section: Introductionmentioning
confidence: 99%