We derive a new lower bound p c ? 0:8107 for the critical value of Mandelbrot's dyadic fractal percolation model. This is achieved by taking the random fractal set (to be denoted A1 ) and adding to it a countable number of straight line segments, chosen in a certain (non-random) way as to simplify greatly the connectivity structure. We denote the modified model thus obtained by C1 , and write C n for the set formed after n steps in its construction. Now it is possible, using an iterative technique, to compute the probability of percolating through C n for any parameter value p and any finite n. For p = 0:8107 and n = 360 we obtain a value less than 10 \Gamma5 ; using some topological arguments it follows that 0.8107 is subcritical fo...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
International audienceWe provide a Monte Carlo analysis of the moments of the cluster size distribut...
We derive a new lower bound pc > 0:8107 for the critical value of Mandelbrot's dyadic fractal percol...
We consider two variations on the Mandelbrot fractal percolation model. In the k-fractal percolation...
Contains fulltext : 135144.pdf (preprint version ) (Open Access
We consider two variations on the Mandelbrot fractal percolation model. In the k-fractal percolation...
Partially motivated by the desire to better understand the connectivity phase transition in fractal ...
We study Mandelbrot\u27s percolation process in dimension d >= 2. The process generates random fract...
AbstractThe fractal percolation process, which generates random subsets of the unit square, is inves...
By means of a well-developed method in self-organized criticality, we can obtain the lower bound for...
We study Mandelbrot's percolation process in dimension d >= 2. The process generates random fractal ...
We study the connectivity properties of the complementary set in Poisson multiscale percolation mode...
In 1961 Gilbert defined a model of continuum percolation in which points are placed in the plane acc...
[[abstract]]We provide a Monte Carlo analysis of the moments of the cluster size distributions built...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
International audienceWe provide a Monte Carlo analysis of the moments of the cluster size distribut...
We derive a new lower bound pc > 0:8107 for the critical value of Mandelbrot's dyadic fractal percol...
We consider two variations on the Mandelbrot fractal percolation model. In the k-fractal percolation...
Contains fulltext : 135144.pdf (preprint version ) (Open Access
We consider two variations on the Mandelbrot fractal percolation model. In the k-fractal percolation...
Partially motivated by the desire to better understand the connectivity phase transition in fractal ...
We study Mandelbrot\u27s percolation process in dimension d >= 2. The process generates random fract...
AbstractThe fractal percolation process, which generates random subsets of the unit square, is inves...
By means of a well-developed method in self-organized criticality, we can obtain the lower bound for...
We study Mandelbrot's percolation process in dimension d >= 2. The process generates random fractal ...
We study the connectivity properties of the complementary set in Poisson multiscale percolation mode...
In 1961 Gilbert defined a model of continuum percolation in which points are placed in the plane acc...
[[abstract]]We provide a Monte Carlo analysis of the moments of the cluster size distributions built...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
Consider critical site percolation on Zd with d ≥ 2. We prove a lower bound of order n-d 2 for point...
International audienceWe provide a Monte Carlo analysis of the moments of the cluster size distribut...