English

Generalized minimum distance functions

Commutative Algebra 2019-10-23 v4 Information Theory Algebraic Geometry Combinatorics math.IT Number Theory

Abstract

Using commutative algebra methods we study the generalized minimum distance function (gmd function) and the corresponding generalized footprint function of a graded ideal in a polynomial ring over a field. The number of solutions that a system of homogeneous polynomials has in any given finite set of projective points is expressed as the degree of a graded ideal. If X\mathbb{X} is a set of projective points over a finite field and II is its vanishing ideal, we show that the gmd function and the Vasconcelos function of II are equal to the rr-th generalized Hamming weight of the corresponding Reed-Muller-type code CX(d)C_\mathbb{X}(d) of degree dd. We show that the generalized footprint function of II is a lower bound for the rr-th generalized Hamming weight of CX(d)C_\mathbb{X}(d). Then we present some applications to projective nested cartesian codes. To give applications of our lower bound to algebraic coding theory, we show an interesting integer inequality. Then we show an explicit formula and a combinatorial formula for the second generalized Hamming weight of an affine cartesian code.

Keywords

Cite

@article{arxiv.1707.03285,
  title  = {Generalized minimum distance functions},
  author = {Manuel Gonzalez-Sarabia and Jose Martínez-Bernal and Rafael H. Villarreal and Carlos E. Vivares},
  journal= {arXiv preprint arXiv:1707.03285},
  year   = {2019}
}

Comments

J. Algebraic Combin., to appear. arXiv admin note: text overlap with arXiv:1512.06868