Density and orthogonal geometry of the time-zero subspace
OpenQAlgorithms.Papers.Independent.Intakethird100.P92.time_zero_densityLet be reflection positive, with canonical quotient , null space , and . If a linear subspace has dense image in , then is dense in and . Moreover,
and is an orthogonal direct sum and a closed subspace of .
No group or cyclicity hypothesis is imposed, and the final closed subspace is not asserted to be all of .
import Definitions.Def_QAlgorithms_Papers_Independent_Intakethird100_P92
noncomputable section
namespace QAlgorithms.Papers.Independent.Intakethird100.P92
open scoped ComplexConjugate BigOperators NNReal ENNReal
open MeasureTheory
attribute [local instance] Classical.propDecidable
universe u v
variable (E : Type u) [NormedAddCommGroup E] [InnerProductSpace ℂ E] [CompleteSpace E]
variable {E}
/-- Lemma 3.16, PDF p. 15. No one-parameter group or cyclicity assumption.
The final orthogonal sum is asserted closed, without asserting it is all of E. -/
theorem time_zero_density [hHilbert : CompleteSpace E] (r : ReflectionData E) (D : Submodule ℂ E)
(hD : D ≤ timeZero r) (hDense : Dense (quotientImage r D)) :
D.topologicalClosure = timeZero r ∧
quotientImage r (timeZero r) = Set.univ ∧
osNull r = r.plus ⊓ (timeZero r).orthogonal ∧
osNull r = r.plus ⊓ (r.plus.map r.theta.toLinearMap).orthogonal ∧
Submodule.IsOrtho (osNull r) (timeZero r) ∧
Submodule.IsOrtho (osNull r) ((osNull r).map r.theta.toLinearMap) ∧
Submodule.IsOrtho (timeZero r) ((osNull r).map r.theta.toLinearMap) ∧
IsClosed ((osNull r ⊔ timeZero r ⊔ (osNull r).map r.theta.toLinearMap :
Submodule ℂ E) : Set E) := by sorry
end QAlgorithms.Papers.Independent.Intakethird100.P92
end
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What the Lean code literally says, in plain math · gpt-6.1-sol
Let be a complete complex inner product space, let be a closed complex linear subspace, and let be an involutive complex linear isometric bijection satisfying for every . Let be the separated completion of for the possibly degenerate inner product , let be its canonical map, and set
viewing both as subspaces of . For every complex linear subspace , if and is dense in , then all of the following hold:
Moreover, is orthogonal to , is orthogonal to , is orthogonal to , and the subspace is closed in . Here closures and orthogonal complements are taken in the original space , and orthogonality of two subspaces means that every vector in one has zero inner product with every vector in the other. Zero subspaces and a zero completion are included.
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.