Anisotropic oriented percolation in high dimensions
Pablo Almeida Gomes, Alan Pereira, Remy Sanchis

TL;DR
This paper investigates anisotropic oriented percolation in high-dimensional lattices, establishing that local conditions for phase transition align with mean-field predictions when certain probability sums exceed one.
Contribution
It demonstrates that in high dimensions, the local probability sum determines percolation, linking local conditions to mean-field theory in anisotropic oriented percolation.
Findings
Percolation occurs when the sum of local probabilities exceeds one.
Phase transition conditions are closely related to mean-field predictions.
Results hold for dimensions d ≥ 4 with controlled probabilities.
Abstract
In this paper we study anisotropic oriented percolation on for and show that the local condition for phase transition is closely related to the mean-field condition. More precisely, we show that if the sum of the local probabilities is strictly greater than one and each probability is not too large, then percolation occurs.
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