The 224-disc problem of Section 11.1 has a one-dimensional cousin that can be solved…

PHYSICS · Multi-part · Fermi University Physics · Mathematical Methods for Physics · Computational Physics · Monte Carlo and lattice simulation of physical systems

Error, Chance and the Machine, Ch Markov-chain Monte Carlo

Problem

The 224-disc problem of Section 11.1 has a one-dimensional cousin that can be solved exactly. Place N=20N = 20 rods, each of length a=0.03a = 0.03, on a ring of circumference 11, with the centres independent and uniform on the ring. Two rods overlap when their centres are less than aa apart along the ring. The allowed configurations are those with no overlap, and the probability that a random placement is allowed is P=(1−Na)N−1P = (1 - Na)^{N-1}, which you may take as given. ((a)) Evaluate PP. ((b)) Estimate PP as Section 11.1 estimated it for the discs: treat the N(N−1)/2N(N-1)/2 pairs as overlapping independently and use the Poisson form e−μe^{-\mu}, where μ\mu is the mean number of overlapping pairs. Two random centres are within aa of each other with probability 2a2a. Compare the estimate with part (a). Which way does the independence assumption err, and by what factor? ((c)) By the rare-event rule of Chapter 10, how many random placements are needed to estimate PP to a relative error of 1010 per cent? ((d)) A Metropolis chain moves one rod at a time by a small random displacement and accepts the move when it creates no overlap. Why does this rule not need PP? Give the ratio p(y)/p(x)p(\mathbf{y})/p(\mathbf{x}) for a move from one allowed configuration to another.

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