The dual of an evaluation code
December 18, 2020 Β· Declared Dead Β· π Designs, Codes and Cryptography
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Hiram H. LΓ³pez, Ivan Soprunov, Rafael H. Villarreal
arXiv ID
2012.10016
Category
math.AC
Cross-listed
cs.IT,
math.AG,
math.CO
Citations
20
Venue
Designs, Codes and Cryptography
Last Checked
3 months ago
Abstract
The aim of this work is to study the dual and the algebraic dual of an evaluation code using standard monomials and indicator functions. We show that the dual of an evaluation code is the evaluation code of the algebraic dual. We develop an algorithm for computing a basis for the algebraic dual. Let $C_1$ and $C_2$ be linear codes spanned by standard monomials. We give a combinatorial condition for the monomial equivalence of $C_1$ and the dual $C_2^\perp$. Moreover, we give an explicit description of a generator matrix of $C_2^\perp$ in terms of that of $C_1$ and coefficients of indicator functions. For Reed--Muller-type codes we give a duality criterion in terms of the v-number and the Hilbert function of a vanishing ideal. As an application, we provide an explicit duality for Reed--Muller-type codes corresponding to Gorenstein ideals. In addition, when the evaluation code is monomial and the set of evaluation points is a degenerate affine space, we classify when the dual is a monomial code.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β math.AC
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Generalized minimum distance functions
R.I.P.
π»
Ghosted
Generalized star configurations and the Tutte polynomial
R.I.P.
π»
Ghosted
Minimum distance functions of complete intersections
R.I.P.
π»
Ghosted
Higher Hamming weights for locally recoverable codes on algebraic curves
R.I.P.
π»
Ghosted
Footprint and minimum distance functions
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