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In a system | 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>. | ||
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. | |||
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.