REVIEW 2 minor 2 cited by
For stair-shaped zero patterns on random p-adic matrices, Cohen-Lenstra convergence of cokernels holds precisely when the matrices are asymptotically nonsingular over F_p.
Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →
T0 review · grok-4.3
2026-06-27 21:11 UTC pith:DSYQ77N3
load-bearing objection The paper gives a usable equivalence: for stair-shaped zero patterns the p-adic cokernel converges to Cohen-Lenstra precisely when the mod-p reductions are asymptotically nonsingular.
A mod p determinant criterion for Cohen--Lenstra convergence of random p-adic matrices with prescribed zero patterns
The pith
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For several families of support patterns arising from stair-shaped zero regions, including general stair-shaped patterns, band matrices, and matrices with two symmetric stair-shaped zero regions, convergence of the cokernel distribution to the Cohen-Lenstra distribution is equivalent to an asymptotic nonsingularity condition over F_p.
What carries the argument
The reduction modulo p of the random p-adic matrices, viewed as random matrices over F_p, which governs the asymptotic cokernel distribution.
Load-bearing premise
The asymptotic cokernel distribution of the p-adic matrices is governed by their reductions modulo p as random matrices over F_p.
What would settle it
For a fixed stair-shaped pattern, compute the limit as n goes to infinity of the probability that a random n by n matrix over F_p with that zero pattern is singular; if the limit is positive, the cokernel distribution cannot converge to Cohen-Lenstra.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript studies the cokernel distributions of Haar-random matrices over the p-adic integers with prescribed zero patterns. It establishes that the asymptotic cokernel distribution is governed by the reductions modulo p (viewed as random matrices over F_p). For families including general stair-shaped patterns, band matrices, and matrices with two symmetric stair-shaped zero regions, it proves that convergence of the cokernel distribution to the Cohen--Lenstra distribution is equivalent to an asymptotic nonsingularity condition over F_p. A conjecture is proposed for general support patterns, and counterexamples are given showing that analogous rank-r criteria fail for r ≥ 1.
Significance. If the equivalences hold, the work provides a concrete, checkable criterion (asymptotic nonsingularity over F_p) that determines when structured p-adic random matrices obey the Cohen--Lenstra heuristics, thereby linking p-adic and finite-field behaviors for several natural families. The explicit counterexamples for higher-rank analogues and the formulation of a general conjecture are useful scoping contributions that clarify the boundaries of the result.
minor comments (2)
- [Introduction] The precise formulation of the 'asymptotic nonsingularity condition' (including any dependence on the support pattern) should be stated explicitly in the introduction or as a numbered definition, rather than left implicit from the abstract.
- Notation for the support patterns (e.g., how stair-shaped zero regions are indexed) should be introduced with a small diagram or table early in the paper to aid readability for readers outside the immediate subfield.
Simulated Author's Rebuttal
We thank the referee for their positive summary of the manuscript, the assessment of its significance, and the recommendation for minor revision. No specific major comments were provided for us to address point by point.
Circularity Check
No significant circularity detected
full rationale
The paper's central claims consist of theorems establishing an equivalence between cokernel convergence to the Cohen-Lenstra distribution and an asymptotic nonsingularity condition over F_p, specifically for stair-shaped, band, and symmetric stair patterns. This equivalence is derived from the reduction of p-adic matrices to their F_p counterparts, presented as a methodological feature rather than a self-referential fit or definition. No load-bearing steps reduce by construction to inputs via self-definition, fitted predictions, or self-citation chains; the result is explicitly scoped with counterexamples for higher-rank cases, indicating an independent mathematical argument self-contained against external number-theoretic benchmarks.
Axiom & Free-Parameter Ledger
axioms (1)
- domain assumption The asymptotic cokernel distribution is governed by the reductions modulo p.
read the original abstract
We study the distribution of cokernels of Haar-random matrices over the $p$-adic integers with prescribed zero patterns, motivated by the Cohen--Lenstra heuristics. A central feature of our approach is that the asymptotic cokernel distribution is governed by the reductions modulo $p$ of these matrices, viewed as random matrices over the finite field $\mathbb{F}_p$. For several families of support patterns arising from stair-shaped zero regions, including general stair-shaped patterns, band matrices, and matrices with two symmetric stair-shaped zero regions, we show that convergence of the cokernel distribution to the Cohen--Lenstra distribution is equivalent to an asymptotic nonsingularity condition over $\mathbb{F}_p$. We further propose a conjecture for general support patterns and give examples showing that analogous rank-$r$ criteria fail for $r\ge 1$.
Figures
Forward citations
Cited by 2 Pith papers
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Universality for cokernels of partially random integral matrices
The Cohen-Lenstra distribution for cokernels of random p-adic matrices persists when up to a linear fraction of entries per row and column are non-random, when within-column dependence is allowed, and for band matrice...
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Universality for cokernels of partially random integral matrices
Random matrices with independent ε-balanced entries in a log(n)^{1+δ} band—and arbitrary entries outside—have cokernels approaching the Cohen–Lenstra distribution; up to αn per column and βn per row bad entries are al...
Reference graph
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discussion (0)
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