2020
DOI: 10.1016/j.aam.2019.101940
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Generalized minimum distance functions and algebraic invariants of Geramita ideals

Abstract: Motivated by notions from coding theory, we study the generalized minimum distance (GMD) function δI (d, r) of a graded ideal I in a polynomial ring over an arbitrary field using commutative algebraic methods. It is shown that δI is non-decreasing as a function of r and non-increasing as a function of d. For vanishing ideals over finite fields, we show that δI is strictly decreasing as a function of d until it stabilizes. We also study algebraic invariants of Geramita ideals. Those ideals are graded, unmixed, … Show more

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Cited by 26 publications
(22 citation statements)
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“…By convention, we set α(0) := 0. Part (d) of the next result was shown in Proposition 4.2 in [1] for unmixed graded ideals. The next result gives a formula for the v-number of any graded ideal.…”
Section: Introductionmentioning
confidence: 64%
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“…By convention, we set α(0) := 0. Part (d) of the next result was shown in Proposition 4.2 in [1] for unmixed graded ideals. The next result gives a formula for the v-number of any graded ideal.…”
Section: Introductionmentioning
confidence: 64%
“…The set of associated primes of S/I is denoted by Ass(I), and the set of maximal elements of Ass(I) with respect to inclusion is denoted by Max(I). The v-number of I, denoted v(I), is the following invariant of I that was introduced in [1] to study the asymptotic behavior of the minimum distance of projective Reed-Muller-type codes, Corollary 4.7 in [1]: v(I) := min{d ≥ 0 | ∃ f ∈ S d and p ∈ Ass(I) with (I : f ) = p}.…”
Section: Introductionmentioning
confidence: 99%
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“…The v-number of I was introduced as an invariant of the graded ideal I, in [8], in the study of Reed-Muller-type codes. This invariant of I helps us understand the behaviour of the generalized minimum distance function δ I of I, in the said context.…”
Section: Introductionmentioning
confidence: 99%
“…This invariant of I helps us understand the behaviour of the generalized minimum distance function δ I of I, in the said context. See [8], [16], [21], [23], for further details on this.…”
Section: Introductionmentioning
confidence: 99%