🤖 AI Summary
This study investigates the existence of perfect codes under non-classical metrics, including the Lee metric, the NRT metric, mixed Hamming metrics, and rank distance. By introducing a novel framework termed “polynomial weak-metric association schemes” and integrating tools such as Lloyd’s theorem, the Schwartz–Zippel lemma, and asymptotic counting methods from integer partitions, the work establishes deep connections between this framework and multivariate P-polynomial association schemes as well as m-distance-regular graph theory. Building on these connections, the authors prove the nonexistence of perfect codes in the aforementioned metrics, thereby substantially extending the known boundaries of coding theory in generalized metric spaces.
📝 Abstract
The Lloyd Theorem of (Sol\'e, 1989) is combined with the Schwartz-Zippel Lemma of theoretical computer science to derive non-existence results for perfect codes in the Lee metric, NRT metric, mixed Hamming metric, and for the sum-rank distance. The proofs are based on asymptotic enumeration of integer partitions. The framework is the new concept of {\em polynomial} weakly metric association schemes. A connection between this notion and the recent theory of multivariate P-polynomial schemes of ( Bannai et al. 2025) and of $m$-distance regular graphs ( Bernard et al 2025) is pointed out.