Free energy and entropy for the constructive Gibbs measures of the Ising model on the Cayley tree of order three

In this paper, we identify non-translation-invariant constructive Gibbs measures for the Ising model on a third-order Cayley tree, which differ from known ones. We provide the conditions for the existence of at least two distinct Gibbs measures, which implies that a phase transition occurs. The free energies and entropies corresponding to the identified measures are calculated. These free energies and entropies are then compared with the known ones and shown to differ from them.

Authors

Institutions

Publication Details

Journal
Nanosystems Physics Chemistry Mathematics
Published
2025-06-29
DOI
https://doi.org/10.17586/2220-8054-2025-16-3-261-273
Primary Topic
Theoretical and Computational Physics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Free energy and entropy for the constructive Gibbs measures of the Ising model on the Cayley tree of order three

M. M. Rahmatullaev, Zulxumor A. Burxonova
Nanosystems Physics Chemistry Mathematics
Theoretical and Computational Physics
article

Free energy and entropy for the constructive Gibbs measures of the Ising model on the Cayley tree of order three

M. M. Rahmatullaev, Zulxumor A. Burxonova
article en

Abstract

In this paper, we identify non-translation-invariant constructive Gibbs measures for the Ising model on a third-order Cayley tree, which differ from known ones. We provide the conditions for the existence of at least two distinct Gibbs measures, which implies that a phase transition occurs. The free energies and entropies corresponding to the identified measures are calculated. These free energies and entropies are then compared with the known ones and shown to differ from them.

Nanosystems Physics Chemistry MathematicsVol. 16(3)
Academy of Sciences Republic of Uzbekistan (UZ), Namangan State University (UZ), New Uzbekistan University (UZ)
Openalex Percentile: Top 90%
Theoretical and Computational Physics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.