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We perform a duality transformation that allows one to express the partition function of the d-dimensional Ising model with random nearest neighbor coupling in terms of new spin variables defined on the square plaquettes of the lattice. The…

Condensed Matter · Physics 2009-10-28 M. Serva , G. Paladin , J. Raboanary

We study the d-dimensional random Ising model using a Bethe-Peierls approximation in the framework of the replica method. We take into account the correct interaction only inside replicated clusters of spins. Our ansatz is that the…

Condensed Matter · Physics 2009-10-28 M. Serva , G. Paladin

The partition function of two-dimensional nearest neighbour Ising models in a non-zero magnetic field is derived employing a matrix formulation.

Statistical Mechanics · Physics 2009-05-12 G. Nandhini , M. V. Sangaranarayanan

The partition function and magnetization equations are derived for the two-dimensional nearest neighbour Ising models in a magnetic field.

General Physics · Physics 2013-02-06 M. V. Sangaranarayanan

Using a combinatorial method, the partition functions for two-dimensional nearest neighbour Ising models have been derived for a square lattice of 16 sites in the presence of the magnetic field. A novel hierarchical method of enumeration of…

Statistical Mechanics · Physics 2022-05-24 Anshu Priya , M V Sangaranarayanan

The exact partition function of the two-dimensional nearest neighbour Ising model pertaining to square lattices is derived for N sites in the case of a non-vanishing magnetic field.When the magnetic field is zero,the partition functions…

Statistical Mechanics · Physics 2008-01-07 G. Nandhini , M. V. Sangaranarayanan

An integral representation of the partition function for general $n$-dimensional Ising models with nearest or non-nearest neighbours interactions is given. The representation is used to derive some properties of the partition function. An…

Condensed Matter · Physics 2008-02-03 Sergio Albeverio , Shao-Ming Fei

The zero-field partition function of two-dimensional nearest neighbor Ising models of square lattices is derived in terms of the generalized hypergeometric series by evaluating the integral in the exact solution of Onsager. An approximate…

Statistical Mechanics · Physics 2023-03-20 M V Sangaranarayanan

The partition function for two-dimensional nearest neighbour Ising models in the presence of a magnetic field is derived . A comparison with the partition functions predicted by Onsager is carried out. The critical temperature estimated by…

Chemical Physics · Physics 2007-06-28 G. Nandhini , M. V. Sangaranarayanan

We give efficient quantum algorithms to estimate the partition function of (i) the six vertex model on a two-dimensional (2D) square lattice, (ii) the Ising model with magnetic fields on a planar graph, (iii) the Potts model on a quasi 2D…

Quantum Physics · Physics 2011-09-16 G. De las Cuevas , W. Dür , M. Van den Nest , M. A. Martin-Delgado

We show that the two dimensional Ising model is complete, in the sense that the partition function of any lattice model on any graph is equal to the partition function of the 2D Ising model with complex coupling. The latter model has all…

Quantum Physics · Physics 2013-05-30 V. Karimipour , M. H. Zarei

An explicit expression for the partition function of two-dimensional nearest neighbour Ising models in the presence of a magnetic field is derived by a systematic enumeration of all the spin configurations pertaining to a square lattice of…

Statistical Mechanics · Physics 2007-10-22 G. Nandhini , M. V. Sangaranarayanan

It is shown that the partition function of the 2d Ising model on the dual finite lattice with periodical boundary conditions is expressed through some specific combination of the partition functions of the model on the torus with…

High Energy Physics - Theory · Physics 2009-10-30 Anatolij I. Bugrij , Vitalij N. Shadura

We apply the Bethe-Peierls approximation to the problem of the inverse Ising model and show how the linear response relation leads to a simple method to reconstruct couplings and fields of the Ising model. This reconstruction is exact on…

Disordered Systems and Neural Networks · Physics 2012-03-14 H. Chau Nguyen , Johannes Berg

We propose an approach for approximating the partition function which is based on two steps: (1) computing the partition function of a simplified model which is obtained by deleting model edges, and (2) rectifying the result by applying an…

Machine Learning · Computer Science 2012-06-18 Arthur Choi , Adnan Darwiche

A general numerical method is presented to locate the partition function zeros in the complex beta plane for large lattice sizes. We apply this method to the 2D Ising model and results are reported for square lattice sizes up tp L=64. We…

Statistical Mechanics · Physics 2009-10-30 Nelson A. Alves , J. R. Drugowich de Felicio , Ulrich H. E. Hansmann

We study two free energy approximations (Bethe and plaquette-CVM) for the Random Field Ising Model in two dimensions. We compare results obtained by these two methods in single instances of the model on the square grid, showing the…

Disordered Systems and Neural Networks · Physics 2015-01-30 Eduardo Dominguez , Alejandro Lage-Castellanos , Roberto Mulet

Employing heuristic susceptibility equations in conjunction with the well-known critical exponents, the magnetization and partition function for two-dimensional nearest neighbour Ising models are formulated in terms of the Gauss…

Statistical Mechanics · Physics 2019-12-18 M. V. Sangaranarayanan

We study the problem of approximating the Ising model partition function with complex parameters on bounded degree graphs. We establish a deterministic polynomial-time approximation scheme for the partition function when the interactions…

Quantum Physics · Physics 2019-07-12 Ryan L. Mann , Michael J. Bremner

Employing the exact solution of Onsager for two-dimensional Ising models, simple expressions are proposed for computing the partition function, magnetization, specific heat and susceptibility for non-zero magnetic fields of square lattices.…

Statistical Mechanics · Physics 2020-05-12 M V Sangaranarayanan
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