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Strict Positivity Of A Positive Operator Unit

Proved
FunctionalInequalities.Analysis.inner_self_pos_of_isPositive_of_isUnit_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement proves that a positive invertible operator is strictly positive.

Let E be a finite-dimensional real inner-product space, let ι be a finite index type with decidable equality, and let b be an orthonormal basis of E indexed by ι. Let T be a continuous linear endomorphism. Assume T is positive in the operator sense and is a unit. Then every nonzero v∈E satisfies

⟨Tv,v⟩>0.\langle Tv,v\rangle>0.⟨Tv,v⟩>0.

This provides the converse positivity fact needed when transferring positive-definite matrix properties to operators in orthonormal coordinates.

Formalization Note Finite dimensionality and the chosen finite orthonormal basis are explicit hypotheses of the Lean statement.

Original Lean declaration header

Within namespace FunctionalInequalities.Analysis. Shown in its original module context. Proof omitted.

theorem inner_self_pos_of_isPositive_of_isUnit (b : OrthonormalBasis ι ℝ E)
    (T : E →L[ℝ] E) (hpos : T.IsPositive) (hunit : IsUnit T)
    {v : E} (hv : v ≠ 0) : 0 < ⟪T v, v⟫

Module navigation

Module: Analysis/Operator/Coordinates.

Source excerpt, lines 151–153 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Operator_Coordinates

open scoped RealInnerProductSpace MatrixOrder
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [FiniteDimensional ℝ E] {ι : Type*} [Fintype ι] [DecidableEq ι]
Formal statement

theorem FunctionalInequalities.Analysis.inner_self_pos_of_isPositive_of_isUnit_readable (b : OrthonormalBasis ι ℝ E)
    (T : E →L[ℝ] E) (hpos : T.IsPositive) (hunit : IsUnit T)
    {v : E} (hv : v ≠ 0) : 0 < ⟪T v, v⟫ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Operator/Coordinates.lean#L150-L165 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Operator.Coordinates`, declaration `FunctionalInequalities.Analysis.inner_self_pos_of_isPositive_of_isUnit`; the repository is private at upload time).

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