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Weighted triple mass is a histogram correlation

Proved
ThreeSum.Histograms.tripleMass_eq_histogram

by wurtle · Oct 14, 2026 · Mathlib 0df444a (Lean v4.33.1)

3sumalgorithmsfine-grained-complexitythree-sum-1962word-ram

Let GGG be a finite abelian group with decidable equality. Let A,B,CA,B,CA,B,C be finite index sets with keys ai,bj,ck∈Ga_i,b_j,c_k\in Gai​,bj​,ck​∈G and natural weights ui,vj,wku_i,v_j,w_kui​,vj​,wk​. Define HB(z)=∑j∈B:bj=zvjH_B(z)=\sum_{j\in B:b_j=z}v_jHB​(z)=∑j∈B:bj​=z​vj​ and HC(z)=∑k∈C:ck=zwkH_C(z)=\sum_{k\in C:c_k=z}w_kHC​(z)=∑k∈C:ck​=z​wk​, and let Corr⁡(HC,HB)(d)=∑z∈GHC(z)HB(z−d)\operatorname{Corr}(H_C,H_B)(d)=\sum_{z\in G}H_C(z)H_B(z-d)Corr(HC​,HB​)(d)=∑z∈G​HC​(z)HB​(z−d). Then

∑i∈A,j∈B,k∈Cai+bj=ckuivjwk=∑i∈AuiCorr⁡(HC,HB)(ai).\sum_{\substack{i\in A,j\in B,k\in C\\a_i+b_j=c_k}}u_i v_j w_k=\sum_{i\in A}u_i\operatorname{Corr}(H_C,H_B)(a_i).i∈A,j∈B,k∈Cai​+bj​=ck​​∑​ui​vj​wk​=i∈A∑​ui​Corr(HC​,HB​)(ai​).

A single B/C correlation therefore supports all A-key queries while retaining every multiplicity, including repeated keys.

Preamble
import Definitions.Def_ThreeSum1962Source_Bundle01
import Mathlib.Algebra.BigOperators.Group.Finset.Basic
import Mathlib.Algebra.BigOperators.Ring.Finset
import Mathlib.Algebra.Group.Equiv.Basic
import Mathlib.Algebra.Order.BigOperators.Group.Finset
import Mathlib.Data.Finset.Prod
import Mathlib.Data.Fintype.Card
import Mathlib.Data.Fintype.Prod
import Mathlib.Data.List.MinMax
import Mathlib.Tactic.Abel
import Mathlib.Tactic.ByContra
import Mathlib.Tactic.Linarith
import Mathlib.Tactic.Ring
import Theorems.Thm_ThreeSum_Histograms_correlation_histograms


set_option autoImplicit false
set_option relaxedAutoImplicit false
set_option Elab.async false

universe u_1 u_2 u_3 u_4
Formal statement
theorem ThreeSum.Histograms.tripleMass_eq_histogram : ∀ {ι : Type u_1} {τ : Type u_2} {ν : Type u_3} {G : Type u_4} [inst : AddCommGroup.{u_4} G] [inst_1 : Fintype.{u_4} G]
  [inst_2 : DecidableEq.{u_4 + 1} G] (A : Finset.{u_1} ι) (B : Finset.{u_2} τ) (C : Finset.{u_3} ν) (a : ι → G)
  (b : τ → G) (c : ν → G) (wa : ι → Nat) (wb : τ → Nat) (wc : ν → Nat),
  @Eq.{1} Nat (@ThreeSum.Histograms.tripleMass.{u_1, u_2, u_3, u_4} ι τ ν G inst inst_2 A B C a b c wa wb wc)
    (∑ i ∈ A,
      @HMul.hMul.{0, 0, 0} Nat Nat Nat (@instHMul.{0} Nat instMulNat) (wa i)
        (@ThreeSum.Balancing.correlation.{u_4} G inst inst_1
          (@ThreeSum.Histograms.histogram.{u_3, u_4} ν G inst_2 C c wc)
          (@ThreeSum.Histograms.histogram.{u_2, u_4} τ G inst_2 B b wb) (a i))) := by
  sorry
Source
https://github.com/c0ldzy17/three-sum-lean/blob/2b639655e07421b9ac743de9090459bab473a7c0/Submission/ThreeSum/Histograms.lean#L91-L113

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