Abstract

In this paper, we study the evolution of a Finitary Random Interlacement (FRI) with respect to the expected length of each fiber. In contrast to the previously proved phase transition between sufficiently large and small fiber length, for all , FRI is NOT stochastically monotone as fiber length increases. At the same time, numerical evidence still strongly supports the existence and uniqueness of a critical fiber length, which is estimated theoretically and numerically to be an inversely proportional function with respect to system intensity.

Highlights

  • Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • We investigate the phase transitions in the Finitary Random Interlacement (FRI) introduced by Bowen in his study on Gaboriau–Lyons problem [1]

  • The percolation phase transition is closely related to the trade-off mechanism with respect to the parameter T: As T increases, there will be on average fewer and fewer fibers starting from each vertex

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Summary

Introduction

Since F I u,T d may be nonmonotonic with respect to T, the existence of a subcritical and a supercritical phase is insufficient to guarantee a critical value in between It is conjectured in [5] that there is a unique critical value Tc (u, d) such that F I u,T d percolates when T > Tc and has no infinite cluster almost surely when T < Tc. The percolation phase transition is closely related to the trade-off mechanism with respect to the parameter T: As T increases, there will be on average fewer and fewer fibers starting from each vertex.

Definitions and Notations
Definition of FRI
Configurations within a Finite Set
Stochastic Dominance and Monotonicity
Nonmonotonicity and Single Edge Density
Characterization of Phase Diagram
Numerical Exploration on Phase Transition
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