The random field Ising model in an asymmetric, anisotropic and linearly field dependent trimodal probability distribution
Ioannis A. Hadjiagapiou and
Ioannis N. Velonakis
Physica A: Statistical Mechanics and its Applications, 2019, vol. 534, issue C
Abstract:
The Ising model, under the influence of an asymmetric and anisotropic external random magnetic field, is investigated for any temperature T and any other parameters; the random field is drawn from the trimodal probability density function P(hi)=phiδ(hi−h0)+qhiδ(hi+λh0)+rhiδ(hi)=11+λ[1h0+λ(1−r)]hiδ(hi−h0)+11+λ(1−r−1h0)hiδ(hi+λh0)+rhiδ(hi), dependent linearly on the field hi, as well. The partial probabilities p,q,r obey the constraint p+q+r=1, asymmetric distribution; hi is the random field with absolute value h0 (strength); λ is a positive competition parameter making the random fields competitive, anisotropic distribution; the presence of the multiplicative factor hi is to enhance the influence of the magnetic fields. The trimodal probability distribution is an extension of the bimodal one allowing for the existence in the lattice of vacant sites or non magnetic particles, of fraction r. The current random field Ising system undergoes, mainly, second order phase transitions, which, for some values of λ and h0, are followed by first order phase transitions, both joined smoothly at a tricritical point. Using the variational principle, the equilibrium equation for the magnetization is written down and solve it for both phase transitions as well as at the tricritical point, in order to determine the magnetization profile with respect to h0 and temperature; the stability for each phase transition and at the tricritical point is examined, as well.
Keywords: Ising model; Random trimodal asymmetric-anisotropic interactions; Field dependence; Phase-diagram; Tricritical point; Phase transitions (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437119311872
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119311872
DOI: 10.1016/j.physa.2019.122065
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().