Theorem 11.28 — Lebesgue's monotone convergence theorem
ProvedRudin.ch11_monotone_convergenceanalysismeasure-theory
If are measurable and for every , then .
Preamble
import Mathlib import Definitions.Def_Rudin_ch11_L2 open Filter Topology MeasureTheory open scoped ENNReal
Formal statement
namespace Rudin
/-- Rudin, Theorem 11.28 (Lebesgue's monotone convergence theorem): if `0 ≤ f 0 ≤ f 1 ≤ ⋯` are
measurable and converge pointwise to `g`, then the integrals converge to the integral of
`g`. -/
theorem ch11_monotone_convergence {X : Type*} [MeasurableSpace X] (μ : Measure X)
(f : ℕ → X → ℝ≥0∞) (hf : ∀ n, Measurable (f n)) (hmono : ∀ x, Monotone fun n => f n x)
(g : X → ℝ≥0∞) (hg : ∀ x, Tendsto (fun n => f n x) atTop (𝓝 (g x))) :
Tendsto (fun n => ∫⁻ x, f n x ∂μ) atTop (𝓝 (∫⁻ x, g x ∂μ)) := by sorry
end RudinSource
Walter Rudin, Principles of Mathematical Analysis, 3rd edition, McGraw-Hill, 1976, Chapter 11, p. 319, Theorem 11.28
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What the Lean code literally says, in plain math · Aristotle (Harmonic)
Let be a measurable space with measure , and let be measurable functions into the extended nonnegative reals such that for every the sequence is monotone non-decreasing. Let be such that for every , in (convergence in the order topology, which includes tending to ). Then
where denotes the lower Lebesgue integral of a -valued function, and convergence is again in .
Nonnegativity is automatic from the codomain; no measurability of is assumed as a hypothesis, and no finiteness of any integral is required.
Human review
Confirmed by the mission captain (proposal self-audit).