🤖 AI Summary
This study investigates the problem of maximizing the sum-rate for uniquely decodable code pairs. Methodologically, it introduces a weighted completion gluing construction to achieve explicit codes with high sum-rates, and combines conditional entropy estimation with an iterative projection argument to establish theoretical upper bounds. The primary contributions include the construction of an explicit code of length 672 achieving a sum-rate exceeding 1.3186, alongside a rigorous proof that the corresponding upper bound is 1.4800. These results significantly advance the known bounds for this problem.
📝 Abstract
We study the maximum sum rate of uniquely decodable code pairs. A weighted refinement of a complement-gluing construction yields an explicit code of length 672 and sum rate exceeding $1.318639029203$. An iterated projection argument, combined with a conditional entropy estimate and a justified continuous limit, gives an upper bound of $1.480063425539$.