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Least-factor pieces lie in the low-degree isotypic part of their coordinate

Proved
OAI.Thorp.Fourier.Family.splitVector_low

by Shuze Chen · Oct 16, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-algebraoai-mathrepresentation-theory

Let HHH be a finite group and let (ρb,Vb)b∈Λ(\rho_b,V_b)_{b\in\Lambda}(ρb​,Vb​)b∈Λ​ be a complete family of irreducible unitary representations of HHH: Λ\LambdaΛ is a finite index set and, for each b∈Λb\in\Lambdab∈Λ, VbV_bVb​ is a finite-dimensional complex inner product space of dimension db≥1d_b\ge 1db​≥1 on which HHH acts irreducibly by unitary operators ρb(h)\rho_b(h)ρb​(h); distinct indices give non-isomorphic representations; and the characters χb(h)=tr⁡ρb(h)\chi_b(h)=\operatorname{tr}\rho_b(h)χb​(h)=trρb​(h) satisfy the regular-representation identity ∑b∈Λdb χb(h)=∣H∣ [h=1]\sum_{b\in\Lambda}d_b\,\chi_b(h)=|H|\,[h=1]∑b∈Λ​db​χb​(h)=∣H∣[h=1] for all h∈Hh\in Hh∈H. Let eb(h)=db∣H∣ χb(h−1)e_b(h)=\frac{d_b}{|H|}\,\chi_b(h^{-1})eb​(h)=∣H∣db​​χb​(h−1) be the character kernels.

Let III be a finite nonempty set with n=∣I∣n=|I|n=∣I∣ elements, let HIH^IHI be the product group, and for i∈Ii\in Ii∈I let ιi ⁣:H→HI\iota_i\colon H\to H^Iιi​:H→HI put hhh in coordinate iii and 111 elsewhere. Let EEE be a finite-dimensional complex inner product space of dimension DDD and ρ\rhoρ a representation of HIH^IHI on EEE. Define:

  1. for a multi-index a ⁣:I→Λa\colon I\to\Lambdaa:I→Λ, the joint projector Pa=∑g∈HI(∏j∈Ieaj(gj))ρ(g)P_a=\sum_{g\in H^I}\big(\prod_{j\in I}e_{a_j}(g_j)\big)\rho(g)Pa​=∑g∈HI​(∏j∈I​eaj​​(gj​))ρ(g);
  2. a least factor ℓ(a)∈I\ell(a)\in Iℓ(a)∈I, a fixed choice of coordinate with daℓ(a)≤dajd_{a_{\ell(a)}}\le d_{a_j}daℓ(a)​​≤daj​​ for all j∈Ij\in Ij∈I;
  3. for v∈Ev\in Ev∈E and i∈Ii\in Ii∈I, the iii-th least-factor piece zi(v)=∑a: ℓ(a)=iPavz_i(v)=\sum_{a:\ \ell(a)=i}P_a vzi​(v)=∑a: ℓ(a)=i​Pa​v;
  4. for b∈Λb\in\Lambdab∈Λ, the coordinate isotypic projector Pb(i)=∑h∈Heb(h) ρ(ιi(h))P^{(i)}_b=\sum_{h\in H}e_b(h)\,\rho(\iota_i(h))Pb(i)​=∑h∈H​eb​(h)ρ(ιi​(h)).

Then for every v∈Ev\in Ev∈E and i∈Ii\in Ii∈I,

∑b∈Λ: db n≤DPb(i) zi(v)=zi(v).\sum_{b\in\Lambda:\ d_b^{\,n}\le D}P^{(i)}_b\,z_i(v)=z_i(v).b∈Λ: dbn​≤D∑​Pb(i)​zi​(v)=zi​(v).

In other words, in the iii-th coordinate the piece zi(v)z_i(v)zi​(v) only involves irreducible representations of HHH of degree at most D1/nD^{1/n}D1/n. The pieces zi(v)z_i(v)zi​(v) sort the joint isotypic components of vvv according to which coordinate carries the smallest degree, and this statement allows one to apply, separately to each piece, a matrix-coefficient bound whose constant is the small sum ∑dbn≤Ddb2\sum_{d_b^n\le D}d_b^2∑dbn​≤D​db2​.

Formalization Note The least factor is F.leastFactor a, defined by a choice (Classical.choose) of a minimizing coordinate, and zi(v)z_i(v)zi​(v) is F.splitVector ρ v i. The representation ρ\rhoρ need not be unitary, and the inner product on EEE plays no role in this statement. The coordinate representation is ρ.comp (MonoidHom.mulSingle _ i).

Preamble
import Mathlib
import Definitions.Def_ThorpFirstReciprocal
import Definitions.Def_OAI_Probability_ThorpShuffle_Model
import Definitions.Def_OAI_Probability_ThorpShuffle_PairAveraging
import Definitions.Def_OAI_Probability_ThorpShuffle_Walsh
import Definitions.Def_OAI_Probability_ThorpShuffle_Support
import Definitions.Def_OAI_Probability_ThorpShuffle_ConditionalFlow
import Definitions.Def_OAI_Probability_ThorpShuffle_FiniteExpectation
import Definitions.Def_OAI_Probability_ThorpShuffle_WalshFlow
import Definitions.Def_OAI_Probability_ThorpShuffle_FreshCoins
import Definitions.Def_OAI_Probability_ThorpShuffle_HalfHistories
import Definitions.Def_OAI_Probability_ThorpShuffle_NoiseEnergy
import Definitions.Def_OAI_Probability_ThorpShuffle_EnergyDecay
import Definitions.Def_OAI_Probability_ThorpShuffle_MarginalEnergy
import Definitions.Def_OAI_Probability_ThorpShuffle_ConditionalLaw
import Definitions.Def_OAI_Probability_ThorpShuffle_TaggedCompletion
import Definitions.Def_OAI_Probability_ThorpShuffle_Reachability
import Definitions.Def_OAI_Probability_ThorpShuffle_Cyclic
import Definitions.Def_OAI_Probability_ThorpShuffle_Tableaux
import Definitions.Def_OAI_Probability_ThorpShuffle_Specht
import Definitions.Def_OAI_Probability_ThorpShuffle_Polytabloids
import Definitions.Def_OAI_Probability_ThorpShuffle_Irreducibility
import Definitions.Def_OAI_Probability_ThorpShuffle_Classification
import Definitions.Def_OAI_Probability_ThorpShuffle_LinearExtensions
import Definitions.Def_OAI_Probability_ThorpShuffle_ExtensionBounds
import Definitions.Def_OAI_Probability_ThorpShuffle_PartitionBounds
import Definitions.Def_OAI_Probability_ThorpShuffle_DegreeBounds
import Definitions.Def_OAI_Probability_ThorpShuffle_FirstMoment
import Definitions.Def_OAI_Probability_ThorpShuffle_Reynolds
import Definitions.Def_OAI_Probability_ThorpShuffle_FourierFamilies
import Definitions.Def_OAI_Probability_ThorpShuffle_JointProjectors
import Definitions.Def_OAI_Probability_ThorpShuffle_ProductProjectors

open OAI OAI.Thorp OAI.Thorp.Fourier OAI.Thorp.Fourier.Family
universe uH uI uE uJ
open scoped BigOperators ComplexConjugate InnerProductSpace
open Filter Topology
open scoped Classical
variable {H I : Type} [Group H] [Fintype H] [Fintype I] [Nonempty I] (F : Family H)
variable {E : Type uE} [NormedAddCommGroup E] [InnerProductSpace ℂ E] [FiniteDimensional ℂ E]
Formal statement
theorem OAI.Thorp.Fourier.Family.splitVector_low (ρ : Representation ℂ (I → H) E) (v : E) (i : I) :
    (∑ b ∈ Finset.univ.filter (fun b => F.degree b ^ Fintype.card I ≤ Module.finrank ℂ E),
      F.projector (ρ.comp (MonoidHom.mulSingle (fun _ : I => H) i)) b) (F.splitVector ρ v i) =
        F.splitVector ρ v i := by sorry
Source
https://github.com/openai/math/blob/1581d4cbdd69a0faf34b2089614fe2a814316a6a/lean/OAI/Probability/ThorpShuffle/ProductProjectors.lean#L170-L186

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