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The v-numbers of permanental ideals

Published 12 May 2026 in math.AC | (2605.11621v1)

Abstract: In this article, we compute the $\vv$-number of 2×22\times 2 permanental ideals of generic, generic symmetric, and generic Hankel matrices.

Authors (2)

Summary

  • The paper completely computes the v-number of 2×2 permanental ideals for generic, generic symmetric, and generic Hankel matrices over fields of characteristic not 2, with all values in {0, 1, 2, 3}.
  • The authors combine colon ideal identities, Gröbner-basis calculations, degree bounds, and retraction arguments to establish matching upper and lower bounds for each matrix class.
  • The results show strong structural dependence: generic and symmetric cases typically stabilize at 3, while Hankel ideals can have v-number 1 for sufficiently large matrices; characteristic 2 yields the trivial value 0 because permanental and determinantal ideals coincide.

Overview

This paper computes the vv-number of 2×22\times 2 permanental ideals P2(X)P_2(X) for three classes of matrices over a field KK with charK2\operatorname{char} K \neq 2: generic, generic symmetric, and generic Hankel matrices. The vv-number, introduced by Cooper et al. (2605.11621), is defined as

v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},

and was originally motivated by the study of minimum distance functions of projective Reed–Muller-type codes. The paper's main results are complete and uniform: the value depends only on matrix size and type, taking values in {0,1,2,3}\{0, 1, 2, 3\}.

Methodology

The proofs rest on two standard bounds from Grisalde–Reyes–Villarreal (2605.11621). For an upper bound, if (I:f)(I : f) is prime for a homogeneous polynomial ff, then 2×22\times 20. For a lower bound,

2×22\times 21

where 2×22\times 22 denotes the least degree of a homogeneous element of 2×22\times 23. The lower bound is established by showing that certain colon ideals contain no forms below a given degree; this is done via Gröbner bases and the observation that 2×22\times 24 implies 2×22\times 25. The colon ideal computations themselves use Laubenbacher–Swanson's Gröbner basis for permanental ideals of generic matrices, Grieco–Guerrieri–Swanson's basis for the Hankel case, and Chau's basis for the symmetric case, together with a lemma guaranteeing that a 2×22\times 26-primary ideal 2×22\times 27 containing 2×22\times 28 with 2×22\times 29 and P2(X)P_2(X)0 must equal P2(X)P_2(X)1.

In characteristic 2, permanental ideals coincide with determinantal ideals and are prime, so P2(X)P_2(X)2 trivially; the interesting content is entirely in odd characteristic. The P2(X)P_2(X)3 case is also excluded since P2(X)P_2(X)4 is prime there in all three settings.

Generic matrices

For a generic P2(X)P_2(X)5 matrix P2(X)P_2(X)6 with P2(X)P_2(X)7, the results are:

Case P2(X)P_2(X)8
P2(X)P_2(X)9, KK0 2
KK1 3

When KK2, the upper bound comes from showing that KK3 is an associated prime equal to KK4, giving KK5. The matching lower bound shows that no colon ideal KK6 contains a linear form, using the initial ideal computation KK7 and a specialization argument forcing all coefficients to vanish.

For KK8, the upper bound uses the colon identity KK9, which is prime. The lower bound is the most substantial combinatorial argument in this section: any quadratic form lying in charK2\operatorname{char} K \neq 20 is shown to lie in charK2\operatorname{char} K \neq 21 itself, via coefficient elimination under specializations and a final contradiction against the known initial ideal. Since every associated prime contains either a full row or a full column of variables, this bounds charK2\operatorname{char} K \neq 22 uniformly.

Generic symmetric matrices

For an charK2\operatorname{char} K \neq 23 generic symmetric matrix charK2\operatorname{char} K \neq 24 with charK2\operatorname{char} K \neq 25, the paper proves charK2\operatorname{char} K \neq 26. The minimal primes are exactly the ideals charK2\operatorname{char} K \neq 27, so it suffices to show charK2\operatorname{char} K \neq 28 for all pairs. This is proved by induction on charK2\operatorname{char} K \neq 29: the base case vv0 is handled by explicit reduction against the Gröbner basis, and the inductive step relies on a retract lemma showing that the natural map vv1 splits, where vv2 is obtained by deleting the first row and column — hence vv3. A key claim in the induction is that the leading monomial of a hypothetical quadratic element cannot involve first-row variables; otherwise, specializing to a vv4 principal submatrix contradicts the base case. The upper bound follows from the known associated prime vv5.

Generic Hankel matrices

The Hankel case exhibits the richest behavior, with the answer depending delicately on vv6:

Case vv7
vv8, vv9; or v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},0 1
v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},1, v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},2; or v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},3 2
v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},4 3

The v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},5 cases exploit the striking colon identity v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},6 from Grieco–Guerrieri–Swanson when v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},7: a single variable suffices to reach the maximal ideal as an associated prime. For v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},8, the authors verify v(I)=min{d fRd and pAss(I) such that I:f=p},v(I) = \min\{d \mid \exists\ f \in R_d \text{ and } p \in \operatorname{Ass}(I) \text{ such that } I : f = p\},9 directly, exhibiting each generator {0,1,2,3}\{0, 1, 2, 3\}0 as a signed combination of subpermanents and ruling out proper containment via Gröbner reduction of {0,1,2,3}\{0, 1, 2, 3\}1. Notably, the {0,1,2,3}\{0, 1, 2, 3\}2 case is resolved by a Macaulay2 verification that {0,1,2,3}\{0, 1, 2, 3\}3 equals the {0,1,2,3}\{0, 1, 2, 3\}4 ideal over {0,1,2,3}\{0, 1, 2, 3\}5, hence over every field — an identification that is not structurally explained within the paper.

The {0,1,2,3}\{0, 1, 2, 3\}6 cases follow the same template: explicit colon identities give the upper bound (e.g., {0,1,2,3}\{0, 1, 2, 3\}7 for {0,1,2,3}\{0, 1, 2, 3\}8), while the lower bound reduces to showing that specific colon ideals contain no linear forms, proved by iterative Gröbner reductions. The two smallest cases, {0,1,2,3}\{0, 1, 2, 3\}9 and (I:f)(I : f)0, require degree-2 elimination arguments analogous to the generic-matrix lemma.

Limitations and open questions

Several aspects of the paper warrant note. First, all results assume (I:f)(I : f)1; in characteristic 2 the ideals are prime and the invariant is trivially zero, so no characteristic-uniform behavior beyond this dichotomy is established. Second, the analysis is restricted to (I:f)(I : f)2; the (I:f)(I : f)3-number of (I:f)(I : f)4 for (I:f)(I : f)5 remains open for all three matrix classes, and the methods here rely heavily on the explicit small-(I:f)(I : f)6 Gröbner bases available in the literature, so extension is not immediate. Third, the classification of minimal primes of permanental ideals is incomplete in general, which constrains the applicability of the lower-bound technique to larger (I:f)(I : f)7. Finally, the equality between the (I:f)(I : f)8 and (I:f)(I : f)9 Hankel permanental ideals is established only computationally, leaving open a structural explanation.

Conclusion

The paper settles the ff0-number of ff1 permanental ideals of generic, generic symmetric, and generic Hankel matrices completely, showing values bounded above by 3 across all cases. The results demonstrate that the invariant is sensitive to matrix structure: it stabilizes at 3 for large generic and symmetric matrices, but drops to 1 for sufficiently large Hankel matrices due to the existence of single-variable colon identities reaching the maximal ideal. The techniques — combining colon ideal computations, Gröbner-based degree elimination, and retraction arguments — provide a template likely applicable to related binomial-permanent settings, though the ff2 case remains unresolved.

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