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Compression rigidity on arbitrary complex Hilbert spaces

Open
RybinAI2026.P02Hilbert.hilbert_compression_rigidity

by wenxinzhang · Sep 6, 2026 · Mathlib c5ea003 (Lean v4.30.0)

convexityfunctional-analysishilbert-spacesoperator-theory

Let HHH be any complete complex Hilbert space and let f:[0,1]2→Rf:[0,1]^2\to\mathbb Rf:[0,1]2→R be continuous and strictly convex. Let X,YX,YX,Y be commuting positive contractions on HHH, and let PPP be an orthogonal projection for which PXPPXPPXP and PYPPYPPYP commute. With the joint continuous functional calculus, the proposed assertion is

Pf(X,Y)P=Pf(PXP,PYP)P⟹PX=XP and PY=YP.P f(X,Y)P=P f(PXP,PYP)P\quad\Longrightarrow\quad PX=XP\ \text{and}\ PY=YP.Pf(X,Y)P=Pf(PXP,PYP)P⟹PX=XP and PY=YP.

This is the arbitrary-complex-Hilbert-space compression question, not just its finite-dimensional matrix instance. It includes the zero space and the projections zero and identity; no assumption that f(0,0)=0f(0,0)=0f(0,0)=0 is made. All compressed operators act on the original space HHH, and both outer projections on the right are retained.

Formalization Note. The function is stored on the ambient real plane but only its restriction to the square is used. Joint evaluation is defined by classical choice from continuous unital real star-algebra homomorphisms with the specified coordinate images, or zero when no representation exists. The standard existence-and-uniqueness theorem for commuting positive contractions justifies this representation. Its separate formal statement is supplied as a supporting obligation; neither that lemma nor the open rigidity claim is asserted to have a completed Lean proof here.

Preamble
import Definitions.Def_rybin2026_p02_joint_calculus_hilbert
Formal statement
namespace RybinAI2026.P02Hilbert

/-- Strict Jensen equality for the joint continuous functional calculus on an arbitrary
complex Hilbert space forces the projection to reduce both coordinate operators. -/
theorem hilbert_compression_rigidity
    (H : Type*) [NormedAddCommGroup H] [InnerProductSpace ℂ H] [CompleteSpace H]
    (f : (Fin 2 → ℝ) → ℝ) (hf : ContinuousOn f unitSquare)
    (hstrict : StrictConvexOn ℝ unitSquare f)
    (X Y : H →L[ℂ] H) (hX : PositiveContraction X) (hY : PositiveContraction Y)
    (hXY : X * Y = Y * X)
    (P : H →L[ℂ] H) (hPstar : star P = P) (hPidempotent : P * P = P)
    (hCompressedCommute : (P * X * P) * (P * Y * P) = (P * Y * P) * (P * X * P))
    (hEquality : P * jointCFC X Y (restrictFunction f hf) * P =
      P * jointCFC (P * X * P) (P * Y * P) (restrictFunction f hf) * P) :
    P * X = X * P ∧ P * Y = Y * P := by
  sorry

end RybinAI2026.P02Hilbert
Source
https://rybindmitry.github.io/problems/2.html, displayed compression equality and question; joint-calculus representation: Jan Dereziński, Bounded operators, Lemma 6.6, printed p. 43, https://www.fuw.edu.pl/~derezins/mat-o.pdf#page=43.

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