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Kutin's exact permutation average for a consistent indicator monomial

Proved
QAlgorithms.Childs.kutin_monomial_count

by fizzyinc3 · Oct 17, 2026 · Mathlib 0df444a (Lean v4.33.1)

collision-problemcombinatoricspolynomial-method

Fix a valid collision triple (m,a,b)(m,a,b)(m,a,b) for a domain and alphabet of size nnn: 0≤m≤n0\le m\le n0≤m≤n, a,b≥1a,b\ge1a,b≥1, a∣ma\mid ma∣m, and b∣n−mb\mid n-mb∣n−m. Let E⊆[n]×[n]E\subseteq[n]\times[n]E⊆[n]×[n] be a finite set of input-output constraints, with at most one required output for each input. Write JJJ for its set of output labels, s=∣E∣s=|E|s=∣E∣, t=∣J∣t=|J|t=∣J∣, and cj=∣{i:(i,j)∈E}∣c_j=|\{i:(i,j)\in E\}|cj​=∣{i:(i,j)∈E}∣.

For independent uniform permutations σ,τ\sigma,\tauσ,τ of [n][n][n], let δijστ\delta^{\sigma\tau}_{ij}δijστ​ indicate that τ(xσ(i)m,a,b)=j\tau(x^{m,a,b}_{\sigma(i)})=jτ(xσ(i)m,a,b​)=j, where xm,a,bx^{m,a,b}xm,a,b is the specified aaa-to-one/bbb-to-one collision input. With the real falling factorial (z)r=∏q=0r−1(z−q)(z)_r=\prod_{q=0}^{r-1}(z-q)(z)r​=∏q=0r−1​(z−q), the exact average is

Eσ,τ∏(i,j)∈Eδijστ=1(n)s(n)t∑U⊆J(ma)∣U∣(n−mb)∣J∖U∣∏j∈U(a)cj∏j∈J∖U(b)cj.\mathbb E_{\sigma,\tau}\prod_{(i,j)\in E}\delta^{\sigma\tau}_{ij} =\frac{1}{(n)_s(n)_t}\sum_{U\subseteq J} \left(\frac ma\right)_{|U|} \left(\frac{n-m}{b}\right)_{|J\setminus U|} \prod_{j\in U}(a)_{c_j}\prod_{j\in J\setminus U}(b)_{c_j}.Eσ,τ​(i,j)∈E∏​δijστ​=(n)s​(n)t​1​U⊆J∑​(am​)∣U∣​(bn−m​)∣J∖U∣​j∈U∏​(a)cj​​j∈J∖U∏​(b)cj​​.

Empty products are one. Consistency implies s,t≤ns,t\le ns,t≤n, so both denominator factors are positive, including the empty case n=0n=0n=0. This is the explicit counting identity used by Kutin's symmetrization lemma; it isolates the combinatorics from the subsequent cancellation and polynomial degree argument.

Preamble
import Definitions.Def_QAlgorithms_Defs_Polynomial
set_option autoImplicit false
Formal statement
namespace QAlgorithms.Childs

theorem kutin_monomial_count (n m a b : ℕ) (h : ValidKutinTriple n m a b)
    (E : Finset (Fin n × Fin n))
    (hE : ∀ e ∈ E, ∀ f ∈ E, e.1 = f.1 → e.2 = f.2) :
    let J := E.image Prod.snd
    let c := fun j => (E.filter (fun e => e.2 = j)).card
    (((n.factorial : ℝ) ^ 2)⁻¹ *
      ∑ σ : Equiv.Perm (Fin n), ∑ τ : Equiv.Perm (Fin n),
        ∏ e ∈ E, kutinDelta n m a b σ τ e) =
    ((n.descFactorial E.card : ℝ) * (n.descFactorial J.card : ℝ))⁻¹ *
      ∑ U ∈ J.powerset,
        (∏ q ∈ Finset.range U.card, ((m : ℝ) / a - q)) *
        (∏ q ∈ Finset.range (J \ U).card, (((n : ℝ) - m) / b - q)) *
        (∏ j ∈ U, ∏ q ∈ Finset.range (c j), ((a : ℝ) - q)) *
        (∏ j ∈ J \ U, ∏ q ∈ Finset.range (c j), ((b : ℝ) - q)) := by sorry

end QAlgorithms.Childs
Source
Andrew Childs, Lecture Notes on Quantum Algorithms, 17 April 2025, printed pp.105–106 (PDF pp.113–114), proof of Lemma 22.1, equations (22.8)–(22.16). https://www.cs.umd.edu/~amchilds/qa/qa.pdf

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