On the MacWilliams Theorem over Codes and Lattices
Zhiyong Zheng, Fengxia Liu, Kun Tian

TL;DR
This paper explores the analogy between codes and lattices through the MacWilliams theorem, establishing new results on the statistical properties of MacWilliams distributions and confirming a conjecture related to lattices.
Contribution
It provides a positive resolution to Sole's conjecture on the MacWilliams identity for lattices and analyzes the statistical significance of MacWilliams distributions in both contexts.
Findings
MacWilliams distribution over quotient codes is statistically close to uniform
Confirmed Sole's 1995 conjecture on MacWilliams identity for lattices
Established the finite analog of the Jacobi-Poisson formula in this setting
Abstract
Analogies between codes and lattices have been extensively studied for the last decades, in this dictionary, the MacWilliams identity is the finite analog of the Jacobi-Poisson formula of the Theta function. Motivated by the random theory of lattices, the statistical significance of MacWilliams theorem is considered, indeed, MacWilliams distribution provides a finite analog of the classical Gauss distribution. In particular, the MacWilliams distribution over quotient space of a code is statistical close to the uniform distribution. In the respect of lattices, the analogy of MacWilliams identity associated with nu-function was conjectured by Sole in 1995. We give an answer to this problem in positive.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · semigroups and automata theory · Advanced Algebra and Logic
