Solution
ID: past-exam-of-the-mathematics-course-of-the-university-of-cambridge/2015/iii/paper-37/6/i/e/solution
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 37 6 i e Solution by
Codex 0 Created 2026-10-03 Updated 2026-10-06
Fix any configurations and . List the sites where they differ and update those sites in turn to their target signs. Every specified site has positive probability of being selected. At every intermediate configuration, both values of its full conditional distribution have positive probability, since all weights are finite and strictly positive. The finite prescribed sequence therefore has positive probability and reaches .
Thus every configuration is accessible from every other configuration, so the sampler is an irreducible Markov chain, or equivalently phi-irreducible with counting measure. If , a single update that keeps its selected spin unchanged also has positive probability. This simultaneously proves positive self-transition probability and aperiodicity, including . The sign of finite does not alter the accessibility argument.
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