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Vandermonde Count for Subsets of an Intersection

Proved
FunctionalInequalities.Analysis.Tensor.sum_choose_mul_card_filter_subset_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a finite-set identity expressing a Vandermonde convolution for two fixed subsets.

Let α\alphaα be a type with decidable equality, let UUU be a finite subset of α\alphaα, let ddd be a natural number, and let F,F′F,F'F,F′ be ddd-element subsets of UUU. For each natural number sss from 000 through ddd, count the sss-element subsets SSS of UUU satisfying S⊆F∩F′S \subseteq F \cap F'S⊆F∩F′. Then

∑s=0d(ds)∣{S⊆U:∣S∣=s and S⊆F∩F′}∣=(d+∣F∩F′∣d).\sum_{s=0}^{d} \binom{d}{s} \left|\{S \subseteq U : |S|=s \text{ and } S \subseteq F \cap F'\}\right| = \binom{d+|F \cap F'|}{d}.s=0∑d​(sd​)∣{S⊆U:∣S∣=s and S⊆F∩F′}∣=(dd+∣F∩F′∣​).

This identity is a reusable combinatorial summation formula, with the summands counting subsets of the intersection and weighting them by binomial coefficients.

Formalization Note The summation is implemented over Finset.range (d + 1), and the counted families use Finset.powersetCard followed by Finset.filter; binomial coefficients are represented by Nat.choose.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis.Tensor. Shown in its original module context. Proof omitted.

theorem sum_choose_mul_card_filter_subset (U : Finset α) {d : ℕ} {F F' : Finset α}
    (hF : F ∈ U.powersetCard d) (hF' : F' ∈ U.powersetCard d) :
    ∑ s ∈ range (d + 1), d.choose s * ((U.powersetCard s).filter fun S => S ⊆ F ∩ F').card =
      (d + (F ∩ F').card).choose d

Module navigation

Module: Analysis/Tensor/Symmetrization.

Previous: card_filter_union_subset · Next: sum_norm_sq_sum_filter.

Source excerpt, lines 196–199 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Tensor_Symmetrization

open Finset
variable {α : Type*} [DecidableEq α]
Formal statement

theorem FunctionalInequalities.Analysis.Tensor.sum_choose_mul_card_filter_subset_readable (U : Finset α) {d : ℕ} {F F' : Finset α}
    (hF : F ∈ U.powersetCard d) (hF' : F' ∈ U.powersetCard d) :
    ∑ s ∈ range (d + 1), d.choose s * ((U.powersetCard s).filter fun S => S ⊆ F ∩ F').card =
      (d + (F ∩ F').card).choose d := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Tensor/Symmetrization.lean#L194-L218 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Tensor.Symmetrization`, declaration `FunctionalInequalities.Analysis.Tensor.sum_choose_mul_card_filter_subset`; the repository is private at upload time).

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