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§3.1, (3), p. 14 — (g.x)(u) = x(g⁻¹u) is a group action on signals: g.(h.x) = (gh).x

Proved
GeomDL.Blueprint.eq_3_action

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

geometric-deep-learninggroup-actionp2o-batch-pfp2ap2o-gran-per-chapterp2o-plan-bookp2o-v1

Let a group G\mathfrak GG act on a domain Ω\OmegaΩ, and let G\mathfrak GG act on signals x:Ω→Cx : \Omega \to Cx:Ω→C by equation (3), (g.x)(u)=x(g−1u)(\mathfrak g . x)(u) = x(\mathfrak g^{-1} u)(g.x)(u)=x(g−1u). Then this is a (left) group action on signals: for all g,h∈G\mathfrak g, \mathfrak h \in \mathfrak Gg,h∈G and every signal xxx,

g.(h.x)=(gh).x,1.x=x.\mathfrak g . (\mathfrak h . x) = (\mathfrak g \mathfrak h) . x, \qquad 1 . x = x .g.(h.x)=(gh).x,1.x=x.

The inverse in (3) is what makes the induced map compose in the right order; it is the basis of every equivariance statement in the book.

Formalization Note The book states the composition law; the unit law 1.x=x1 . x = x1.x=x is added so that the conclusion is the full definition of an action.

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

/-- Bronstein et al., §3.1, p. 14, after equation (3): "Due to the inverse on g, this is indeed a
valid group action, in that we have (g.(h.x))(u) = ((gh).x)(u)." Together with the unit law,
`act` is a (left) action of `G` on signals `x : Ω → C`. -/
theorem eq_3_action {G Ω C : Type*} [Group G] [MulAction G Ω] :
    (∀ (g h : G) (x : Ω → C), act g (act h x) = act (g * h) x) ∧
    (∀ x : Ω → C, act (1 : G) x = x) := by sorry

end GeomDL.Blueprint
Source
Bronstein et al., Geometric Deep Learning (arXiv:2104.13478v2), §3.1, equation (3) and the sentence after it, p. 14
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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