A Problem in Last-Passage Percolation
Harry Kesten, Vladas Sidoravicius

TL;DR
This paper investigates the asymptotic behavior of the number of directed paths in a last-passage percolation model with Bernoulli-like weights, establishing key properties of their exponential growth rate.
Contribution
It introduces a new analysis of path counts in a last-passage percolation model with specific random weights, deriving limit properties of their exponential growth.
Findings
Established the limit of the exponential growth rate of path counts.
Derived properties of the growth rate function in the model.
Provided insights into the structure of optimal paths in the percolation setting.
Abstract
Let be an i.i.d. family of random variables such that for some . We consider paths starting at the origin and with the last coordinate increasing along the path, and of length . Define for such paths W(\pi) = \text{number of vertices \pi_i, 1 \le i \le n, with}X(\pi_i) = e^b. Finally let N_n(\al) = \text{number of paths \pin\pi_0 = \bold 0W(\pi) \ge \al n.} We establish several properties of .
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Bayesian Methods and Mixture Models
