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Azuma's Inequality

Probability and Statistics

Azuma's Inequality, also called the Azuma-Hoeffding Inequality, is a concentration inequality bounding how far a martingale with bounded increments can stray from its starting value after a given number of steps, showing the probability of a large deviation falls off exponentially as the deviation grows. Named for Kazuoki Azuma and Wassily Hoeffding, it is a foundational tool of probability theory used throughout combinatorics and theoretical computer science to prove that quantities built from many small, weakly dependent random choices concentrate tightly around their expected value.

Facts
Statement
Gives a concentration result for the values of martingales that have bounded differences, bounding P(X_N - X_0 >= epsilon) by exp(-epsilon^2 / (2 sum of c_k^2)). 2
Classification
Statement Form
Inequality 1
Connections

Has Statement Form

Inequality, Concepts

Entity-backed identity for the statement-form enum value this theorem already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The statement-form fact itself stays on the theorem unchanged.

In Branch

Source Azuma's inequality (Wikipedia)

Proved By

Source Azuma's inequality (Wikipedia)
Sources
1. Wikipedia: Azuma's inequality
WikipediaLead section, statement-form reference
Quote, Lead section, statement-form reference
In probability theory, Azuma's inequality or the Azuma-Hoeffding inequality (named after Kazuoki Azuma and Wassily Hoeffding) gives a concentration result for the values of martingales that have bounded differences.
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2. Azuma's inequality (Wikipedia)
  • Introduction, sentence 1
    gives a concentration result for the values of martingales that have bounded differences
  • In Branch: Probability and Statistics, Lead sentence
    In probability theory, Azuma's inequality or the Azuma-Hoeffding inequality (named after Kazuoki Azuma and Wassily Hoeffding) give
  • Proved By: Wassily Hoeffding, Lead paragraph
    In probability theory, Azuma's inequality or the Azuma-Hoeffding inequality (named after Kazuoki Azuma and Wassily Hoeffding) gives a concentration result for the values of martingales
View the Source
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