COS 226 Programming Assignment

Percolation

Write a program to estimate the value of the percolation threshold via Monte Carlo simulation.

Install the Std* libraries. Download and install StdDraw.java, StdIn.java, StdOut.java, StdRandom.java, and StdStats.java.

Percolation. Given a composite systems comprised of randomly distributed insulating and metallic materials: what fraction of the materials need to be metallic so that the composite system is an electrical conductor? Given a porous landscape with water on the surface (or oil below), under what conditions will the water be able to drain through to the bottom (or the oil to gush through to the surface)? Scientists have defined an abstract process known as percolation to model such situations.

The model. We model a percolation system using an N-by-N grid of sites. Each site is either open or blocked. Open sites are initially empty; a full site is an open site that can be connected to an open site in the top row via a chain of neighboring (left, right, up, down) open sites. We say the system percolates if there is a full site in the bottom row. In other words, a system percolates if we fill all open sites connected to the top row and that process fills some open site on the bottom row. (For the insulating/metallic materials example, the open sites correspond to metallic materials, so that a system that percolates has a metallic path from top to bottom, with full sites conducting. For the porous substance example, the open sites correspond to empty space through which water might flow, so that a system that percolates lets water fill open sites, flowing from top to bottom.)

The problem. In a famous scientific problem, researchers are interested in the following question: if sites are independently set to be open with probability p (and therefore blocked with probability 1 - p), what is the probability that the system percolates? When p is 0, the system does not percolate; when p is 1, the system percolates. The plots below show the site vacancy probability p versus the percolation probability for 20-by-20 random grid (left) and 100-by-100 random grid (right).

When N is sufficiently large, there is a threshold value p* such that when p < p* a random -by-N grid almost never percolates, and when p > p*, a random N-by-N grid almost always percolates. No mathematical solution for determining the percolation threshold p* has yet been derived. Your task is to write a computer program to estimate p*.

Monte Carlo simulation. The program PercolationDFS.java is your starting point. (See Section 2.4 of Introduction to Programming in Java.) It has the following API:

public class PercolationDFS {
   public PercolationDFS(int N)   // create N-by-N grid, will all sites empty
   public void    step()          // declare a new site (at random) to be open
   public boolean percolates()    // does the system percolate?
   public void    draw()          // draw the system on standard draw
}