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Avishay Efrat

Publications and source records attributed to Avishay Efrat.

7 recordsLinked to original sources
arXiv2020

Noise-to-Noise Ratios in Correlation Length Calculations Near Criticality

For finite random systems, it is possible to define two types of variances (noises). It is demonstrated that their ratio is useful in calculating the correlation length of an infinite and rather general random system, as a function of temperature. The numerical method of obtaining those variables is not relevant. It can be real space numerical renormalization, simulation or any other method. It does not matter. The correlation length obtained by this novel technique may then be used to obtain directly the critical correlation exponent, $ν$, rather than indirectly, using scaling relations, as is often done. The method is demonstrated by applying it to the random field Ising model.

cond-mat.stat-mech↗
arXiv2006

Self-averaging in random systems - liability or asset?

The study of quenched random systems is facilitated by the idea that the ensemble averages describe the thermal averages for any specific realization of the couplings, provided the system is large enough. Careful examination suggests that this idea might have a follow, when the correlation length becomes of the order of the size of the system. We find certain bound quantities are not self-averaging when the correlation length becomes of the order of the size of the system. This suggests that the strength of self-averaging, expressed in terms of properly chosen signal to noise ratios, may serve to identify phase boundaries. This is demonstrated by using such signal to noise ratios to identify the boundary of the ferromagnetic phase and compare the findings with more traditional measures.

cond-mat.stat-mech↗
arXiv2003

Full reduction of large finite random Ising systems by RSRG

We describe how to evaluate approximately various physical interesting quantities in random Ising systems by direct renormalization of a finite system. The renormalization procedure is used to reduce the number of degrees of freedom to a number that is small enough, enabling direct summing over the surviving spins. This procedure can be used to obtain averages of functions of the surviving spins. We show how to evaluate averages that involve spins that do not survive the renormalization procedure. We show, for the random field Ising model, how to obtain the "connected" 2-spin correlation function and the "disconnected" 2-spin correlation function. Consequently, we show how to obtain the average susceptibility and the average energy. For an Ising system with random bonds and random fields we show how to obtain the average specific heat. We conclude by presenting our numerical results for the average susceptibility and the "connected" 2-spin correlation function along one of the principal axes. (We believe this to be the first time, where the full three dimensional correlation is calculated and not just parameters like Nu or Eta.) The results for the average susceptibility are used to extract the critical temperature and critical exponents of the 3D random field Ising system.

cond-mat.stat-mech↗
arXiv2001

Harris criterion on hierarchical lattices: Rigorous inequalities and counterexamples in Ising systems

Random bond Ising systems on a general hierarchical lattice are considered. The inequality between the specific heat exponent of the pure system, $α_p$, and the crossover exponent $ϕ$, $α_p<=ϕ$, gives rise to a possibility of a negative $α_p$ along with a positive $ϕ$, leading to random criticality in disagreement with the Harris criterion. An explicit example where this really happens for an Ising system is presented and discussed. In addition to that, it is shown that in presence of full long-range correlations, the crossover exponent is larger than in the uncorrelated case.

cond-mat.stat-mech↗