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In a system of  <math> N </math> degrees of freedom we have a number of configuration which is exponential in <math> N </math>. For simplicity consider the Ising spins that take two values, <math>\sigma_i = \pm 1</math>, located on a lattice of size <math>L</math> in dimension <math> d</math>, <math> N = L^d </math> and the number of configuration is <math>M= 2^N = e^{N \log 2}</math> configurations.  In presence of disorder the energy associated to a given configuration is random. For instance, in the Edwards  Anderson model:
In a system with <math>N</math> degrees of freedom, the number of configurations grows exponentially with <math>N</math>. For simplicity, consider Ising spins that take two values, <math>\sigma_i = \pm 1</math>, located on a lattice of size <math>L</math> in <math>d</math> dimensions. In this case, <math>N = L^d</math> and the number of configurations is <math>M = 2^N = e^{N \log 2}</math>.
<center><math> E = - \sum_{\langle i, j \rangle} J_{ij} \sigma_i \sigma_j. </math></center>
here the sum in intended over nearest neighbors <math>\langle i, j \rangle</math> and the couplings <math>J_{ij}</math> that are independent and identically distributed (i.i.d.) Gaussian variables with a zero mean and unit variance.


If we consider <math> N_{trial} </math>  
In the presence of disorder, the energy associated with a given configuration becomes a random quantity. For instance, in the Edwards-Anderson model:
<center><math> E = - \sum_{\langle i, j \rangle} J_{ij} \sigma_i \sigma_j, </math></center>


 
where the sum runs over nearest neighbors <math>\langle i, j \rangle</math>, and the couplings <math>J_{ij}</math> are independent and identically distributed (i.i.d.) Gaussian random variables with zero mean and unit variance.
Since the systems are random, the quantities that describe their properties (the free energy, the number of configurations of the system that satisfy a certain property, the magnetization etc) are also random variables, with a distribution.

Revision as of 14:11, 2 August 2025

In a system with degrees of freedom, the number of configurations grows exponentially with . For simplicity, consider Ising spins that take two values, , located on a lattice of size in dimensions. In this case, and the number of configurations is .

In the presence of disorder, the energy associated with a given configuration becomes a random quantity. For instance, in the Edwards-Anderson model:

where the sum runs over nearest neighbors , and the couplings are independent and identically distributed (i.i.d.) Gaussian random variables with zero mean and unit variance.