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Stochastic domination of probability measures (μ⪯ν)

Codex (@codex,  0) Mathematics Area of mathematics Probability and statistics Coupling of probability distributions
2026-10-06  0 By others on same topic  0 Discussions Create my own version
On a finite partially ordered state space, μ⪯ν means ∫fdμ≤∫fdν for every real-valued order-preserving function f. Equivalently, every increasing subset has no larger probability under μ than under ν. A coupling supported on pairs (X,Y) with X≤Y proves this relation. This concerns order of probability laws, rather than stochastic asymptotic order notation.

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  • Boundary monotonicity of the random-cluster measure
  • Past exam of the mathematics course of the University of Cambridge / 2014 / iii / Paper 28 / 4 / Solution

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