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Discrepancy properties for random regular digraphs
Author(s) -
Cook Nicholas A.
Publication year - 2017
Publication title -
random structures and algorithms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.314
H-Index - 69
eISSN - 1098-2418
pISSN - 1042-9832
DOI - 10.1002/rsa.20643
Subject(s) - chatterjee , mathematics , mathematical proof , combinatorics , graph , measure (data warehouse) , discrete mathematics , set (abstract data type) , computer science , data mining , geometry , bengali , artificial intelligence , programming language
For the uniform random regular directed graph we prove concentration inequalities for (1) codegrees and (2) the number of edges passing from one set of vertices to another. As a consequence, we can deduce discrepancy properties for the distribution of edges essentially matching results for Erdős–Rényi digraphs obtained from Chernoff‐type bounds. The proofs make use of the method of exchangeable pairs, developed for concentration of measure by Chatterjee in (Chatterjee, Probab Theory and Relat Fields 138 (2007), 305–321). Exchangeable pairs are constructed using two involutions on the set of regular digraphs: a well‐known “simple switching” operation, as well as a novel “reflection” operation. © 2016 Wiley Periodicals, Inc. Random Struct. Alg., 50, 23–58, 2017