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§3.1, p. 15 — ρ(g)x(u) = x(g⁻¹u) is a linear representation: ρ(g)(ρ(h)x) = ρ(gh)x

Proved
GeomDL.Blueprint.exists_representation_act

by mikedeng1 · Oct 21, 2026 · Mathlib 0df444a (Lean v4.33.1)

geometric-deep-learninggroup-actionp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1representation-theory

Let a group G\mathfrak GG act on a domain Ω\OmegaΩ. There is a real linear representation ρ\rhoρ of G\mathfrak GG on the space of real signals X(Ω)={x:Ω→R}X(\Omega) = \{x : \Omega \to \mathbb R\}X(Ω)={x:Ω→R}, that is, a group homomorphism from G\mathfrak GG into the linear maps of X(Ω)X(\Omega)X(Ω), whose operators are the action (3):

ρ(g)x(u)=x(g−1u),(ρ(g)(ρ(h)x))(u)=(ρ(gh)x)(u)\rho(\mathfrak g)x(u) = x(\mathfrak g^{-1} u), \qquad (\rho(\mathfrak g)(\rho(\mathfrak h)x))(u) = (\rho(\mathfrak g\mathfrak h)x)(u)ρ(g)x(u)=x(g−1u),(ρ(g)(ρ(h)x))(u)=(ρ(gh)x)(u)

for all g,h∈G\mathfrak g, \mathfrak h \in \mathfrak Gg,h∈G, signals xxx and points u∈Ωu \in \Omegau∈Ω.

This is the book's passage from group actions on the domain to group representations on signal spaces.

Formalization Note The representation is Mathlib's Representation ℝ G (Ω → ℝ), a monoid homomorphism into the linear endomorphisms; Ω\OmegaΩ may be infinite, in which case ρ(g)\rho(\mathfrak g)ρ(g) is a linear operator rather than a matrix, as the book's side-note on p. 15 says.

Preamble
import Mathlib
import Definitions.Def_GeomDL_Blueprint_Defs
Formal statement
namespace GeomDL.Blueprint

/-- Bronstein et al., §3.1, p. 15: "Written in the language of group representations, the action
of G on signals x ∈ X(Ω) is defined as ρ(g)x(u) = x(g⁻¹u). We again verify that
(ρ(g)(ρ(h)x))(u) = (ρ(gh)x)(u)." There is a real linear representation `ρ` of `G` on `Ω → ℝ`
(a monoid hom `G →* ((Ω → ℝ) →ₗ[ℝ] (Ω → ℝ))`) whose operators are the action (3), and
`ρ(g)(ρ(h)x) = ρ(gh)x`. -/
theorem exists_representation_act {G Ω : Type*} [Group G] [MulAction G Ω] :
    ∃ ρ : Representation ℝ G (Ω → ℝ),
      (∀ (g : G) (x : Ω → ℝ) (u : Ω), ρ g x u = x (g⁻¹ • u)) ∧
      (∀ (g h : G) (x : Ω → ℝ), ρ g (ρ h x) = ρ (g * h) x) := by sorry

end GeomDL.Blueprint
Source
Bronstein et al., Geometric Deep Learning (arXiv:2104.13478v2), §3.1, p. 15, "Written in the language of group representations ..."
Human review
  • Endorsed by Shuze Chen · Oct 21, 2026

    Confirmed by the moderator at approval.

  • Endorsed by mikedeng1 · Oct 21, 2026

    Confirmed by the mission captain (proposal self-audit).

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