Dependent Random Graphs and Multiparty Pointer Jumping
Joshua Brody, Mario Sanchez

TL;DR
This paper introduces dependent random graphs, analyzing their properties like clique and chromatic numbers, and applies these insights to develop improved communication protocols for multiparty pointer jumping problems in the NOF model.
Contribution
It studies dependent random graphs' properties and presents new, more efficient protocols for multiparty pointer jumping in the number-on-the-forehead model.
Findings
Dependent random graphs contain large cliques with high probability.
Chromatic number bounds similar to standard random graphs are established.
New communication protocols for MPJ_k achieve o(n) complexity for k >= 3.
Abstract
We initiate a study of a relaxed version of the standard Erdos-Renyi random graph model, where each edge may depend on a few other edges. We call such graphs "dependent random graphs". Our main result in this direction is a thorough understanding of the clique number of dependent random graphs. We also obtain bounds for the chromatic number. Surprisingly, many of the standard properties of random graphs also hold in this relaxed setting. We show that with high probability, a dependent random graph will contain a clique of size , and the chromatic number will be at most . As an application and second main result, we give a new communication protocol for the k-player Multiparty Pointer Jumping (MPJ_k) problem in the number-on-the-forehead (NOF) model. Multiparty Pointer Jumping is one of the canonical NOF communication…
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Taxonomy
TopicsGame Theory and Voting Systems · Complexity and Algorithms in Graphs · Sports Analytics and Performance
