2009
DOI: 10.1007/s00220-009-0778-4
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Phase Transition in the 1d Random Field Ising Model with Long Range Interaction

Abstract: We study one-dimensional Ising spin systems with ferromagnetic, long-range interaction decaying as n −2+α , α ∈ ( 1 2 , ln 3 ln 2 − 1), in the presence of external random fields. We assume that the random fields are given by a collection of symmetric, independent, identically distributed real random variables, gaussian or subgaussian. We show, for temperature and strength of the randomness (variance) small enough, with IP = 1 with respect to the random fields, that there are at least two distinct extremal Gibb… Show more

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Cited by 26 publications
(52 citation statements)
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“…This is an interesting result, because with the Imry-Ma argument 19,23,24,28 only conclusions for the cases σ < 1/2 or σ > 1/2 are possible. Rigorous studies 25-28 do also not exclude σ = 1/2 as possible value of a finite-disorder phase transition at zero temperature.…”
Section: Discussionmentioning
confidence: 89%
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“…This is an interesting result, because with the Imry-Ma argument 19,23,24,28 only conclusions for the cases σ < 1/2 or σ > 1/2 are possible. Rigorous studies 25-28 do also not exclude σ = 1/2 as possible value of a finite-disorder phase transition at zero temperature.…”
Section: Discussionmentioning
confidence: 89%
“…In addition, mathematical proofs [25][26][27][28] do not exclude the possibility of h c > 0 for σ c = 1/2 at zero temperature. Recent work 29 , which was performed independently and in parallel to our work, support h c > 0.…”
Section: Discussionmentioning
confidence: 99%
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“…The recent result of Cassandro, Orlandi and Picco [23] allows to conclude that at d = 1 the condition (A.2) does indeed provide the threshold decay rate for the validity of Theorem IV.1. They prove that the phase transition is stable under weak disorder in a family of one dimensional Ising spin systems with long range interactions with decay rates arbitrarily close to 3/2, more explicitly with Q {x,y} ≈ Const./|x − y| 3/2−γ at any γ ∈ (0, 0.08).…”
Section: Absolutely Continuous Random Fieldsmentioning
confidence: 79%