t-Wise Independence with Local Dependencies
Ronen Gradwohl, Amir Yehudayoff

TL;DR
This paper establishes a large deviation bound for sums of random variables with a dependency structure characterized by a graph with bounded chromatic number, where independent sets exhibit t-wise independence.
Contribution
It introduces a novel large deviation bound applicable to variables with local dependencies and t-wise independence within a graph-based dependency framework.
Findings
Proves a large deviation bound for dependent variables
Shows the bound applies to variables with bounded chromatic number
Extends analysis to t-wise independent collections within dependency graphs
Abstract
In this note we prove a large deviation bound on the sum of random variables with the following dependency structure: there is a dependency graph with a bounded chromatic number, in which each vertex represents a random variable. Variables that are represented by neighboring vertices may be arbitrarily dependent, but collections of variables that form an independent set in are -wise independent.
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Taxonomy
TopicsAdvanced Algebra and Logic · Auction Theory and Applications · Computability, Logic, AI Algorithms
