Is the Percolation Probability on $\mathbb{Z}^d$ with Long Range   Connections Monotone?
  We present a numerical study for the threshold percolation probability, $p_c$, in the bond percolation model with multiple ranges, in the square lattice. A recent Theorem demonstrated by de Lima {\it et al.} [B. N. B. de Lima, R. P. Sanchis, R. W. C. Silva, STOCHASTIC PROC APPL {\bf 121}, 2043-2048 (2011)] states that the limit value of $p_c$ when the long ranges go to infinity converges to the bond percolation threshold in the hypercubic lattice, $\mathbb{Z}^d$, for some appropriate dimension $d$. We present the first numerical estimations for the percolation threshold considering two-range and three-range versions of the model. Applying a finite size analysis to the simulation data, we sketch the dependence of $p_c$ in function of the range of the largest bond. We shown that, for the two-range model, the percolation threshold is a non decreasing function, as conjectured in the cited work, and converges to the predicted value. However, the results to the three-range case exhibit a surprising non-monotonic behavior for specific combinations of the long range lengths, and the convergence to the predicted value is less evident, raising new questionings on this fascinating problem. 
A.P.F. Atman, B.N.B. de Lima and M. Schnabel
cond-mat.stat-mech physics.comp-ph