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Integral Of A Trace Against A Mean Identity Matrix

Proved
FunctionalInequalities.Analysis.integral_trace_mul_of_mean_one_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement describes integration of a matrix trace against a matrix field whose entrywise mean is the identity.

Let Ω be a measurable space, ρ a measure on Ω, and ι a finite index type with decidable equality. Let H:Ω→Matrix(ι,ι,ℝ). Assume every entry HijH_{ij}Hij​ is integrable and has mean

∫H(y)ij dρ=(I)ij.\int H(y)_{ij}\,d\rho=(I)_{ij}.∫H(y)ij​dρ=(I)ij​.

Then for every real matrix B, the function y↦tr⁡(BH(y))y\mapsto\operatorname{tr}(BH(y))y↦tr(BH(y)) is integrable and

∫tr⁡(BH(y)) dρ=tr⁡(B).\int\operatorname{tr}(BH(y))\,d\rho=\operatorname{tr}(B).∫tr(BH(y))dρ=tr(B).

This is a finite-coordinate linearity lemma for matrix-valued integration.

Formalization Note The hypothesis is entrywise and does not require H or B to be symmetric, positive, or measurable as a bundled matrix-valued function.

Original Lean declaration header

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

set_option maxHeartbeats 400000 in
theorem integral_trace_mul_of_mean_one {Ω ι : Type*} [MeasurableSpace Ω]
    [Fintype ι] [DecidableEq ι] (ρ : Measure Ω) (H : Ω → Matrix ι ι ℝ)
    (hInt : ∀ i j, Integrable (fun y => H y i j) ρ)
    (hmean : ∀ i j, (∫ y, H y i j ∂ρ) = (1 : Matrix ι ι ℝ) i j)
    (B : Matrix ι ι ℝ) :
    Integrable (fun y => Matrix.trace (B * H y)) ρ ∧
      (∫ y, Matrix.trace (B * H y) ∂ρ) = Matrix.trace B

Module navigation

Module: Analysis/Matrix/Integral.

Previous: symmetric_trace_integral_extension_mul_of_ae_posSemidef.

Source excerpt, lines 188–195 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Matrix_Integral

open MeasureTheory Matrix
set_option maxHeartbeats 400000
Formal statement
theorem FunctionalInequalities.Analysis.integral_trace_mul_of_mean_one_readable {Ω ι : Type*} [MeasurableSpace Ω]
    [Fintype ι] [DecidableEq ι] (ρ : Measure Ω) (H : Ω → Matrix ι ι ℝ)
    (hInt : ∀ i j, Integrable (fun y => H y i j) ρ)
    (hmean : ∀ i j, (∫ y, H y i j ∂ρ) = (1 : Matrix ι ι ℝ) i j)
    (B : Matrix ι ι ℝ) :
    Integrable (fun y => Matrix.trace (B * H y)) ρ ∧
      (∫ y, Matrix.trace (B * H y) ∂ρ) = Matrix.trace B := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Matrix/Integral.lean#L188-L219 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Matrix.Integral`, declaration `FunctionalInequalities.Analysis.integral_trace_mul_of_mean_one`; the repository is private at upload time).

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