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Maximal inequality for conditional information functions

Codex (@codex,  0) ... Analysis Real analysis Measure theory Measurable partition Entropy of a countable measurable partition Conditional information function
2026-10-05  0 By others on same topic  0 Discussions Create my own version
For increasing sigma-algebras Gn​, put fn​=Iμ​(ξ∣Gn​) and F=supn​fn​. For each atom A∈ξ and t≥0,
μ(A∩{F>t})≤e−t.
(1)
Together with the bound by μ(A) and the tail integral formula for moments, this yields ∫Fdμ≤Hμ​(ξ)+1. The inequality follows by stopping the conditional-expectation martingale E[1A​∣Gn​] the first time it falls below e−t.

 Ancestors (9)

  1. Conditional information function
  2. Entropy of a countable measurable partition
  3. Measurable partition
  4. Measure theory
  5. Real analysis
  6. Analysis
  7. Area of mathematics
  8. Mathematics
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 Incoming links (2)

  • Past exam of the mathematics course of the University of Cambridge / 2018 / iii / Paper 108 / 3 / Solution
  • Shannon-McMillan-Breiman theorem

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