MacWilliams' extension theorem for infinite rings
September 18, 2017 Β· Declared Dead Β· π Proceedings of the American Mathematical Society
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Friedrich Martin Schneider, Jens ZumbrΓ€gel
arXiv ID
1709.06070
Category
math.RA
Cross-listed
cs.IT
Citations
6
Venue
Proceedings of the American Mathematical Society
Last Checked
3 months ago
Abstract
Finite Frobenius rings have been characterized as precisely those finite rings satisfying the MacWilliams extension property, by work of Wood. In the present note we offer a generalization of this remarkable result to the realm of Artinian rings. Namely, we prove that a left Artinian ring has the left MacWilliams property if and only if it is left pseudo-injective and its finitary left socle embeds into the semisimple quotient. Providing a topological perspective on the MacWilliams property, we also show that the finitary left socle of a left Artinian ring embeds into the semisimple quotient if and only if it admits a finitarily left torsion-free character, if and only if the Pontryagin dual of the regular left module is almost monothetic. In conclusion, an Artinian ring has the MacWilliams property if and only if it is finitarily Frobenius, i.e., it is quasi-Frobenius and its finitary socle embeds into the semisimple quotient.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β math.RA
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Good Integers and Applications in Coding Theory
R.I.P.
π»
Ghosted
Generalized iterated-sums signatures
R.I.P.
π»
Ghosted
Tropical time series, iterated-sums signatures and quasisymmetric functions
R.I.P.
π»
Ghosted
Wajsberg algebras arising from binary block codes
R.I.P.
π»
Ghosted
Constacyclic and Quasi-Twisted Hermitian Self-Dual Codes over Finite Fields
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted