On the Additivity of Optimal Rates for Independent Zero-Error Source and Channel Problems
Nicolas Charpenay, Ma\"el Le Treust, Aline Roumy

TL;DR
This paper investigates the additivity of optimal rates in zero-error source and channel coding problems, establishing conditions under which these rates are additive and deriving new characterizations for specific graph classes.
Contribution
It identifies conditions for additivity of the complementary graph entropy in zero-error coding, connecting it with recent capacity results and providing new single-letter formulas for certain graph products.
Findings
Additivity of the complementary graph entropy is linked to the structure of graph products.
New characterizations of zero-error capacity for product graphs, including perfect graphs and pentagon graphs.
Counterexamples show additivity does not always hold, such as with the Schl"afli graph.
Abstract
Zero-error coding encompasses a variety of source and channel problems where the probability of error must be exactly zero. This condition is stricter than that of the vanishing error regime, where the error probability goes to zero as the code blocklength goes to infinity. In general, zero-error coding is an open combinatorial question. We investigate two unsolved zero-error problems: the source coding problem with side information and the channel coding problem. We focus our attention on families of independent problems for which the probability distribution decomposes into a product of probability distributions. A crucial step is the additivity property of the optimal rate, which does not always hold in the zero-error regime, unlike in the vanishing error regime. When the additivity holds, the concatenation of optimal codes is optimal. We derive a condition under which the additivity…
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Taxonomy
TopicsStability and Control of Uncertain Systems · Distributed Sensor Networks and Detection Algorithms
