Truncation of long-range percolation model with square non-summable interactions
Alberto M. Campos, Bernardo N.B. de Lima

TL;DR
This paper investigates whether percolation persists in long-range models when bonds beyond a certain range are truncated, providing conditions under which percolation remains positive, extending previous results.
Contribution
It offers new conditions ensuring positive percolation probability after truncation in long-range percolation models, generalizing earlier findings.
Findings
Identifies conditions for positive percolation probability after truncation.
Extends previous results to broader classes of long-range percolation models.
Provides partial answers to open questions in the field.
Abstract
We consider some problems related to the truncation question in long-range percolation. It is given probabilities that certain long-range oriented bonds are open; assuming that this probabilities are not summable, we ask if the probability of percolation is positive when we truncate the graph, disallowing bonds of range above a possibly large but finite threshold. This question is still open if the set of vertices is . We give some conditions in which the answer is affirmative. One of these results generalize the previous result in [Alves, Hil\'ario, de Lima, Valesin, Journ. Stat. Phys. {\bf 122}, 972 (2017)].
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
