
Percolation Simulation

This is a simulation of aspects of mathematical percolation theory.

For other percolation simulations, see Category:Percolation Simulations, or:
1D finite grid simulation
Mean run density 
2D finite grid simulations
Site percolation | Bond percolation | Mean cluster density

Given an 



M
×
N


{\displaystyle M\times N}

 rectangular array of cells numbered 




c
e
l
l

[
0..
M
−
1
,
0..
N
−
1
]


{\displaystyle \mathrm {cell} [0..M-1,0..N-1]}

assume 



M


{\displaystyle M}

 is horizontal and 



N


{\displaystyle N}

 is downwards.

Assume that the probability of any cell being filled is a constant 



p


{\displaystyle p}

 where

 



0.0
≤
p
≤
1.0


{\displaystyle 0.0\leq p\leq 1.0}


The task

Simulate creating the array of cells with probability 



p


{\displaystyle p}

 and then
testing if there is a route through adjacent filled cells from any on row 



0


{\displaystyle 0}

 to any on row 



N


{\displaystyle N}

, i.e. testing for site percolation.

Given 



p


{\displaystyle p}

 repeat the percolation 



t


{\displaystyle t}

 times to estimate the proportion of times that the fluid can percolate to the bottom for any given 



p


{\displaystyle p}

.

Show how the probability of percolating through the random grid changes with 



p


{\displaystyle p}

 going from 



0.0


{\displaystyle 0.0}

 to 



1.0


{\displaystyle 1.0}

 in 



0.1


{\displaystyle 0.1}

 increments and with the number of repetitions to estimate the fraction at any given 



p


{\displaystyle p}

 as 



t
>=
100


{\displaystyle t>=100}

.

Use an 



M
=
15
,
N
=
15


{\displaystyle M=15,N=15}

 grid of cells for all cases.

Optionally depict a percolation through a cell grid graphically.

Show all output on this page.

groups=:[: +/\ 2 </\ 0 , *
ooze=: [ >. [ +&* [ * [: ; groups@[ <@(* * 2 < >./)/. +
percolate=: ooze/\.@|.^:2^:_@(* (1 + # {. 1:))
 
trial=: percolate@([ >: ]?@$0:)
simulate=: %@[ * [: +/ (2 e. {:)@trial&15 15"0@#