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arxiv: 2606.29530 · v1 · pith:Q5I43EFDnew · submitted 2026-06-28 · 🧮 math.PR · math.CO

Cutoff profiles for colored top-m-to-random shuffles with growing block size

Pith reviewed 2026-06-30 02:02 UTC · model grok-4.3

classification 🧮 math.PR math.CO
keywords colored top-m-to-random shufflescutoff profilesPoisson limitwreath productseparation distancegrowing block sizemixing timenested-set reduction
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The pith

The number of untouched labels converges in distribution to Poisson(λ) when block size grows, yielding explicit separation distances to uniform.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper proves a Poisson limit for the count of labels never selected after k_n draws of m_n-subsets in p-colored top-m-to-random shuffles on the wreath product C_p wr S_n. The limit holds whenever λ_n = n q_n^{k_n} tends to a positive finite constant λ while the complementary block size b_n tends to infinity. This Poisson convergence is combined with an exact nested-set reduction to produce limiting profiles for separation distance, total variation, and integrated likelihood ratio to the uniform measure. The profiles cover the full range of growing block sizes from small to near-full.

Core claim

If λ_n → λ ∈ (0,∞) and b_n → ∞, then E_{k_n}^{(m_n)} converges in distribution to Poisson(λ). Consequently the separation distance from (Q_{n,p}^{(m_n)})^{*k_n} to U_{n,p} tends to 1−e^{−λ}(1+λ) for p=1 and to 1−e^{−λ} for p≥2.

What carries the argument

The random variable E_{k_n}^{(m_n)} counting untouched labels after k_n uniform m_n-subset draws, whose Poisson limit is fed into the exact nested-set reduction.

If this is right

  • Separation distance tends to 1−e^{−λ}(1+λ) for the one-color case p=1.
  • Separation distance tends to 1−e^{−λ} for p≥2.
  • The same Poisson limit produces total-variation and integrated-likelihood-ratio profiles via the nested-set reduction.
  • The criterion covers small blocks, proportional blocks, and near-full blocks alike.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Analogous Poisson limits may govern untouched-element counts in other growing-parameter random walks on symmetric or wreath-product groups.
  • The mixing window is governed by the scale at which expected untouched labels reach order one, regardless of how m_n grows provided b_n diverges.
  • The Poisson approximation could be checked for other metrics such as L^2 or chi-squared distance to see whether separation captures the sharpest behavior.

Load-bearing premise

The exact nested-set reduction for colored top-m-to-random shuffles stays valid without extra error terms when the block size m_n grows with n.

What would settle it

A counterexample sequence where λ_n → λ > 0, b_n → ∞, yet the distribution of E_{k_n}^{(m_n)} fails to approach Poisson(λ) would falsify the claim.

read the original abstract

We study the $p$-colored top-$m$-to-random shuffle on $C_p\wr S_n$ when the block size $m=m_n$ grows with $n$. Let $E_{k_n}^{(m_n)}$ be the number of labels never touched after $k_n$ independent uniform $m_n$-subset draws, and set $b_n=n-m_n$, $q_n=b_n/n$, and $\lambda_n=nq_n^{k_n}$. We prove that if $\lambda_n\to\lambda\in(0,\infty)$ and $b_n\to\infty$, then $E_{k_n}^{(m_n)}\Rightarrow\mathrm{Poisson}(\lambda)$. Combining this with the exact nested-set reduction for colored top-$m$-to-random shuffles, we obtain growing-block total variation, separation, and integrated likelihood-ratio profiles. In particular, if $Q_{n,p}^{(m_n)}$ is the one-step law and $U_{n,p}$ is uniform on $C_p\wr S_n$, then the separation distance from $(Q_{n,p}^{(m_n)})^{*k_n}$ to $U_{n,p}$ tends to $1-e^{-\lambda}(1+\lambda)$ for $p=1$ and to $1-e^{-\lambda}$ for $p\ge2$. The criterion applies to small blocks, proportional blocks, and near-full blocks.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper proves that for the p-colored top-m-to-random shuffle on the wreath product C_p wr S_n with growing block size m_n, if λ_n = n q_n^{k_n} → λ ∈ (0,∞) and b_n = n - m_n → ∞, then the number of untouched labels E_{k_n}^{(m_n)} converges in distribution to Poisson(λ). Combining this Poisson limit with the exact nested-set reduction yields explicit total variation, separation, and integrated likelihood-ratio cutoff profiles; in particular the separation distance from (Q_{n,p}^{(m_n)})^{*k_n} to U_{n,p} tends to 1−e^{-λ}(1+λ) for p=1 and to 1−e^{-λ} for p≥2. The criterion is stated to apply across small, proportional, and near-full block regimes.

Significance. If the claims hold, the work extends fixed-block cutoff-profile results to the growing-m_n setting and supplies explicit, parameter-free distance limits once the Poisson limit is established. The Poisson convergence itself is a clean technical contribution, and the algebraic substitution into the nested-set reduction produces falsifiable predictions for the separation distance in multiple regimes without additional fitting.

major comments (2)
  1. [abstract (combination step) and the section deriving the distance profiles from E] The separation-distance limits are obtained from the Poisson convergence solely by algebraic substitution into the nested-set reduction (abstract, final paragraph). The reduction is invoked as exact for growing m_n, yet the identity between the untouched-nested-set probability and the separation distance was previously derived only for fixed m; the manuscript must supply an explicit verification or uniformity argument confirming that the one-step transition probabilities on the colored wreath product preserve the exact identity when b_n → ∞ (including proportional and near-full blocks). This is load-bearing for the distance-profile claims.
  2. [the section proving the Poisson convergence] The Poisson limit E_{k_n}^{(m_n)} ⇒ Poisson(λ) is stated under the joint conditions λ_n → λ and b_n → ∞. The proof must be checked for uniformity of the convergence (or error bounds) across the three regimes (small blocks, m_n ~ c n, near-full blocks) to ensure the subsequent distance limits remain valid without regime-specific corrections.
minor comments (1)
  1. [abstract] Clarify whether the notation q_n = b_n / n is introduced before its first use in the scaling λ_n = n q_n^{k_n}.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for the careful reading and constructive comments on our manuscript. We respond point-by-point to the major comments below.

read point-by-point responses
  1. Referee: [abstract (combination step) and the section deriving the distance profiles from E] The separation-distance limits are obtained from the Poisson convergence solely by algebraic substitution into the nested-set reduction (abstract, final paragraph). The reduction is invoked as exact for growing m_n, yet the identity between the untouched-nested-set probability and the separation distance was previously derived only for fixed m; the manuscript must supply an explicit verification or uniformity argument confirming that the one-step transition probabilities on the colored wreath product preserve the exact identity when b_n → ∞ (including proportional and near-full blocks). This is load-bearing for the distance-profile claims.

    Authors: The nested-set reduction is an exact algebraic identity derived from the form of the one-step transition operator on C_p wr S_n and the definition of separation distance; it equates the distance to the probability that a certain collection of nested sets contains at least one untouched label. This identity depends only on the per-step untouched probability q_n = b_n/n and holds verbatim for any m (fixed or growing) because the transition probabilities are defined identically. We will insert a short explicit verification (one paragraph) in the revised manuscript confirming that the identity persists without modification when m = m_n and b_n → ∞, covering all three regimes. revision: yes

  2. Referee: [the section proving the Poisson convergence] The Poisson limit E_{k_n}^{(m_n)} ⇒ Poisson(λ) is stated under the joint conditions λ_n → λ and b_n → ∞. The proof must be checked for uniformity of the convergence (or error bounds) across the three regimes (small blocks, m_n ~ c n, near-full blocks) to ensure the subsequent distance limits remain valid without regime-specific corrections.

    Authors: The proof proceeds via moment matching for the indicators of untouched labels, with all error terms (from the second-moment calculations and the general Poisson approximation lemma employed) controlled uniformly by the hypotheses λ_n → λ and b_n → ∞ alone. The estimates involve only expansions in powers of q_n and 1/n that remain valid independently of the ratio m_n/n. We will add a brief remark at the end of the Poisson-convergence section stating this uniformity explicitly across the small-block, proportional-block, and near-full-block regimes. revision: yes

Circularity Check

0 steps flagged

Derivation self-contained: Poisson limit proved directly under explicit scalings; separation profiles obtained by substitution into cited exact reduction with no reduction to inputs by construction

full rationale

The paper first proves E_{k_n}^{(m_n)} ⇒ Poisson(λ) when λ_n → λ ∈ (0,∞) and b_n → ∞ as an independent convergence statement. It then combines this limit with the exact nested-set reduction (invoked as a prior identity for the colored top-m-to-random model) to obtain the separation-distance limits via direct algebraic substitution. No step equates a derived quantity back to a fitted parameter, re-derives the reduction inside the paper, or relies on a self-citation chain whose validity is presupposed by the target result. The derivation chain therefore remains self-contained against external benchmarks and does not exhibit any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

The paper relies on standard probabilistic limit theorems and an exact combinatorial reduction whose validity for growing blocks is taken as given; no free parameters are fitted, no new entities are postulated, and the axioms invoked are the usual axioms of probability and finite-group combinatorics.

axioms (1)
  • domain assumption The nested-set reduction expressing total-variation, separation, and integrated-likelihood-ratio distances exactly in terms of the untouched-label count E holds without remainder terms when m_n grows.
    Invoked to translate the Poisson limit into the stated distance profiles.

pith-pipeline@v0.9.1-grok · 5775 in / 1519 out tokens · 39327 ms · 2026-06-30T02:02:34.442468+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

8 extracted references · 8 canonical work pages · 2 internal anchors

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