This numerical analysis examines the distribution of percolating paths in a two-dimensional system, revealing key relationships among entropy, probability, and critical points.
In a percolating system, there are typically exponentially many spanning paths. Here, we study numerically, for a two-dimensional L×L diluted system, restricted to percolating realizations, the number N of directed percolating paths. First, we study the average entropy ⟨S⟩=⟨logN⟩ as a function of the occupation density p and compare with mathematical results from the literature. Furthermore, we investigate the distribution P(S). By using large-deviation approaches, we are able to obtain P(S) down to the very low-probability tail reaching probabilities as small as 10−300. We consider the percolating phase, the (typically) non-percolating phase, and the critical point. Finally, we also analyze the structure of the realizations for some values of S and p.
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Seeger et al. (2025) studied this question.
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