2021/02/09 by William Kuszmaul, Qi Qi, Kuszmaul, William +1 · 2 citations
Mathematics · #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Mathematical Inequalities and Applications #Point processes and geometric inequalities #Random Matrices and Applications
paper · pdf · doi:10.48550/arxiv.2102.05077
openalex publication_date 2021/02/09 · openalex created_date 2021/02/15 · openalex updated_date 2026/07/28
Azuma's inequality is a tool for proving concentration bounds on random variables. The inequality can be thought of as a natural generalization of additive Chernoff bounds. On the other hand, the analogous generalization of multiplicative Chernoff bounds does not appear to be widely known. We formulate a multiplicative-error version of Azuma's inequality. We then show how to apply this new inequality in order to greatly simplify (and correct) the analysis of contention delays in multithreaded systems managed by randomized work stealing.