Graphs of Joint Types, Noninteractive Simulation, and Stronger Hypercontractivity
Lei Yu, Venkat Anantharam, Jun Chen

TL;DR
This paper analyzes the structure of type graphs, providing sharp bounds on their edge density and biclique regions, and applies these findings to improve bounds in zero-error communication over the binary adder channel.
Contribution
It introduces asymptotically sharp bounds for the maximum edge density and biclique rate region of type graphs, connecting these to noninteractive simulation and hypercontractivity.
Findings
Sharp bounds for maximum edge density of type graphs
Characterization of biclique rate region in type graphs
Improved outer bound for zero-error capacity of binary adder channel
Abstract
In this paper, we study the type graph, namely, a bipartite graph induced by a joint type. We investigate the maximum edge density of induced bipartite subgraphs of this graph having a number of vertices on each side on an exponential scale in the length of the type. This can be seen as an isoperimetric problem. We provide asymptotically sharp bounds for the exponent of the maximum edge density as the length of the type goes to infinity. We also study the biclique rate region of the type graph, which is defined as the set of such that there exists a biclique of the type graph which has respectively and vertices on the two sides. We provide asymptotically sharp bounds for the biclique rate region as well. We then discuss the connections of these results to noninteractive simulation and hypercontractivity inequalities. Furthermore, as an…
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Cellular Automata and Applications · Complexity and Algorithms in Graphs
