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6 . Implement a Metropolis algorithm to simulate the one - dimensional Ising model with d = 2 0 spins at temperature T . That

6. Implement a Metropolis algorithm to simulate the one-dimensional Ising model with
d =20 spins at temperature T. That is, the target distribution is
\pi (x) exp
1
T
X
d1
i=1
xixi+1!
,
where x =(x1, x2,..., xd) and xi =\pm 1, for all i. Define h(x)=
Pd1
i=1 xixi+1.
(a) Write down the framework of your Metropolis algorithm for this problem.
(b) Let T =1. Simulate 1000 samples after 500 burn-in iterations and estimate the
average of h(x): E\pi [h(x)].
(c) Repeat (b) for T =0.1. Explain the difference in the estimated averages of h(x)
for different T.

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