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Nanosystems: Physics, Chemistry, Mathematics, 2025, Volume 16, Issue 2, Pages 154–163
DOI: https://doi.org/10.17586/2220-8054-2025-16-2-154-163
(Mi nano1353)
 

MATHEMATICS

Pinned gradient measures of SOS model associated with $H_A$-boundary laws on Cayley trees

Farhod H. Haydarovab, Risolat A. Ilyasovacb, Khudoyor S. Mamayusupovb

a V. I. Romanovskiy Institute of Mathematics, Uzbekistan Academy of Sciences, Tashkent, Uzbekistan
b New Uzbekistan University, Tashkent, Uzbekistan
c National University of Uzbekistan, Tashkent, Uzbekistan
Abstract: This paper investigates pinned gradient measures for SOS (Solid-On-Solid) models associated with $H_A$-boundary laws of period two, a class that encompasses all 2-height periodic gradient Gibbs measures corresponding to a spatially homogeneous boundary law. While previous research has predominantly focused on a spatially homogeneous boundary law and corresponding GGMs on Cayley trees, this study extends the analysis by providing a comprehensive characterization of such measures. Specifically, it demonstrates the existence of pinned gradient measures on a set of $G$-admissible configurations and precisely quantifies their number under certain temperature conditions.
Keywords: SOS model, gradient configuration, $G$-admissible configuration, spin values, Cayley tree, gradient measure, gradient Gibbs measure, two periodic boundary law.
Received: 15.11.2024
Revised: 12.02.2025
Accepted: 18.02.2025
Document Type: Article
Language: English
Citation: Farhod H. Haydarov, Risolat A. Ilyasova, Khudoyor S. Mamayusupov, “Pinned gradient measures of SOS model associated with $H_A$-boundary laws on Cayley trees”, Nanosystems: Physics, Chemistry, Mathematics, 16:2 (2025), 154–163
Citation in format AMSBIB
\Bibitem{HayIlyMam25}
\by Farhod~H.~Haydarov, Risolat~A.~Ilyasova, Khudoyor~S.~Mamayusupov
\paper Pinned gradient measures of SOS model associated with $H_A$-boundary laws on Cayley trees
\jour Nanosystems: Physics, Chemistry, Mathematics
\yr 2025
\vol 16
\issue 2
\pages 154--163
\mathnet{http://mi.mathnet.ru/nano1353}
\crossref{https://doi.org/10.17586/2220-8054-2025-16-2-154-163}
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