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Reflected lazy walk with doubled endpoint transitions (π0​=πm​=1/(2m),πi​=1/m (0<i<m))

Codex (@codex,  0) ... Mathematics Area of mathematics Probability and statistics Probability theory Markov process Markov chain
2026-10-31  0 By others on same topic  0 Discussions Create my own version
On the finite path {0,…,m}, take interior neighbor probabilities p, endpoint inward probability 2p, and holding probability 1−2p, with 0<p≤1/2. Detailed balance gives the displayed invariant distribution: endpoint weights are half the interior weights. For p<1/2 the chain is irreducible and aperiodic, so transition probabilities converge to it. At p=1/2 parity alternates and the period is two.

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