The Riesz–Markov–Kakutani theorem for order-bounded functionals #
Mathlib's Riesz–Markov–Kakutani theorem (RealRMK.integral_rieszMeasure) represents a positive
linear functional on C_c(X, ℝ) by a regular measure. A linear functional
Λ : C_c(X, ℝ) →ₗ[ℝ] ℝ which is only order bounded, meaning that Λ is bounded above on every
order interval [0, f], is represented by the difference of two regular measures, which need
not be finite. For instance, a functional bounded in the sup norm on the functions supported in
each compact set is order bounded, since 0 ≤ g ≤ f forces tsupport g ⊆ tsupport f and
g ≤ f; distributional derivatives of locally finite total variation, tested against continuous
functions, are of this kind.
The proof is the Jordan decomposition of Λ. Its positive part Λ⁺ is defined on
nonnegative functions by
Λ⁺ f = ⨆ { Λ g | 0 ≤ g ≤ f },
which is additive by the Riesz decomposition property of C_c(X, ℝ≥0): a function below
f₁ + f₂ is a sum of a function below f₁ and one below f₂. It extends to a positive linear
functional on C_c(X, ℝ) (CompactlySupportedContinuousMap.toRealPositiveLinear), and so does
the negative part Λ⁻ = Λ⁺ - Λ. The two parts are the least positive functionals dominating
Λ and -Λ, and the Riesz measures of Λ⁺ and Λ⁻ represent Λ.
Main declarations #
TauCeti.RealRMK.posPart Λ hΛ,TauCeti.RealRMK.negPart Λ hΛ: the positive and negative parts of an order-bounded linear functionalΛ, positive linear functionals withΛ = posPart Λ hΛ - negPart Λ hΛ(TauCeti.RealRMK.posPart_sub_negPart_apply).TauCeti.RealRMK.posPart_apply_of_nonneg,TauCeti.RealRMK.negPart_apply_of_nonneg: on a nonnegativefthey are the suprema ofΛand of-Λover[0, f].TauCeti.RealRMK.posPart_apply_le_of_le,TauCeti.RealRMK.negPart_apply_le_of_le: minimality among positive functionals dominatingΛand-Λ.TauCeti.RealRMK.integral_rieszMeasure_posPart_sub_integral_rieszMeasure_negPart: the Riesz–Markov–Kakutani representation of an order-bounded functional.TauCeti.RealRMK.forall_bddAbove_image_Icc_iff_exists_regular: a linear functional onC_c(X, ℝ)is a difference of integrals against two regular measures if and only if it is order bounded.
References #
- G. B. Folland, Real Analysis, §7.3: the decomposition of a real functional into positive parts.
The positive part of an order-bounded linear functional Λ on C_c(X, ℝ): the positive
linear functional which on a nonnegative f is the supremum of Λ g over 0 ≤ g ≤ f
(TauCeti.RealRMK.posPart_apply_of_nonneg). It is the least positive functional dominating Λ
on nonnegative functions (TauCeti.RealRMK.posPart_apply_le_of_le).
Instances For
Every Λ g with 0 ≤ g ≤ f is bounded by the positive part of Λ at f.
On a nonnegative f, the positive part of Λ is at most every upper bound of Λ on
[0, f].
On a nonnegative f, the positive part of Λ is the supremum of Λ over [0, f].
Minimality of the positive part: a positive functional dominating Λ on nonnegative
functions dominates the positive part of Λ there.
The negative part posPart Λ hΛ - Λ of an order-bounded linear functional Λ on
C_c(X, ℝ), a positive linear functional. On a nonnegative f it is the supremum of -Λ g
over 0 ≤ g ≤ f (TauCeti.RealRMK.negPart_apply_of_nonneg).
Instances For
The negative part of Λ is its positive part minus Λ.
Every -Λ g with 0 ≤ g ≤ f is bounded by the negative part of Λ at f.
On a nonnegative f, the negative part of Λ is at most every upper bound of -Λ on
[0, f].
On a nonnegative f, the negative part of Λ is the supremum of -Λ over [0, f].
Minimality of the negative part: a positive functional dominating -Λ on nonnegative
functions dominates the negative part of Λ there.
The Riesz–Markov–Kakutani representation theorem for an order-bounded linear functional
Λ on C_c(X, ℝ): Λ is integration against the Riesz measure of its positive part minus
integration against the Riesz measure of its negative part.
A linear functional on C_c(X, ℝ) is the difference of the integrals against two regular
measures if and only if it is order bounded, that is, bounded above on every order interval
[0, f]. The two measures need not be finite.