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In Metropolis algorithm, the transition matrix is

Tji = min 1, p(x;) p(x))
3.a Given a distribution
= p = a2 аз
with a₁ < a₂ < a3. Use the Metropolis algorithm to write down the transition matrix. Show that this obeys the detailed balance principle for (i, j) = (1, 2), (2, 3), (1, 3)

User Frodeborli
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Final answer:

The Metropolis algorithm uses a transition matrix to determine the probabilities of transitioning between states. We can write down the transition matrix for a given distribution by calculating the acceptance probabilities for each transition. By showing that the transition matrix satisfies the detailed balance principle, we can demonstrate equilibrium in the system.

Step-by-step explanation:

In the Metropolis algorithm, the transition matrix determines the probability of transitioning from one state to another.

In this case, we have a distribution p = a^2 * a^3, where a₁ < a₂ < a₃.

To write down the transition matrix, we need to calculate the acceptance probabilities for each transition. The acceptance probability for the (i,j) transition is given by:

p(i→j) = min(1, p(xj) / p(xi)

Using this formula, we can calculate the transition matrix for each pair of (i,j). For example, p(1→2) = min(1, (a₂^2 * a₃) / (a₁^2 * a₃))

By calculating the acceptance probabilities for (1,2), (2,3), and (1,3), we can show that the transition matrix satisfies the detailed balance principle, which ensures that the system reaches an equilibrium state.

User Hamatti
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