Past exam of the mathematics course of the University of Cambridge 2017 iii Paper 215 4 c Solution Created 2026-10-03 Updated 2026-10-06
The reference kernel printed in the hint has total mass , so it is not a Markov kernel. We explicitly replace it by the normalized random transposition shuffle: choose two positions independently and uniformly and swap them. Its probabilities areThese sum to one, and its ordinary spectral gap is , the value intended in the hint. This value can also be certified by the Aldous spectral gap theorem: the single-label generator has rate between distinct positions, so on centered functions it acts as multiplication by . Both shuffles have the same uniform distribution on a finite set as stationary distribution.
We use the Canonical paths comparison theorem in the following precise form. For two finite reversible Markov chains with the same positive stationary distribution , route each directed transition of along a positive-capacity path of . Ifthen and . Indeed, telescope each difference along its path, apply the Cauchy-Schwarz inequality, and sum with weights . The load definition gives the Dirichlet form of a Markov chain inequality; the common variance denominator then gives the spectral gap inequality. Identity transitions use empty paths.
Put . A transposition is routed using the wordof length . Each generator occurs at most twice; write its occurrence count as . For a fixed directed adjacent edge and each occurrence of in a word, there is exactly one starting permutation whose translated word crosses this edge at that occurrence. This follows because right multiplication by the prefix is a bijection of the symmetric group. Hence the uniform stationary factors cancel in the comparison load, leavingThe crude bounds , , and imply . ThereforeOnly pairs with contribute, and there are of these. Keeping this restriction gives the stronger and . Neither comparison bound needs the exact adjacent-shuffle spectral gap; the normalization repair of the reference kernel is essential.