Riesz–Markov–Kakutani representation theorem for ℝ≥0 #
This file proves the Riesz-Markov-Kakutani representation theorem on a locally compact
T2 space X for ℝ≥0-linear functionals Λ.
Implementation notes #
The proof depends on the version of the theorem for ℝ-linear functional Λ because in a standard
proof one has to prove the inequalities by le_antisymm, yet for C_c(X, ℝ≥0) there is no Neg.
Here we prove the result by writing ℝ≥0-linear Λ in terms of ℝ-linear toRealLinear Λ and by
reducing the statement to the ℝ-version of the theorem.
References #
- [Walter Rudin, Real and Complex Analysis.][Rud87]
The Riesz-Markov-Kakutani representation theorem: given a positive linear functional Λ,
the (Bochner) integral of f (as a ℝ-valued function) with respect to the rieszMeasure
associated to Λ is equal to Λ f.
The Riesz-Markov-Kakutani representation theorem: given a positive linear functional Λ,
the (lower) Lebesgue integral of f with respect to the rieszMeasure associated to Λ is equal
to Λ f.
The Riesz measure induced by a linear functional on C_c(X, ℝ≥0) is regular.
We show that NNRealRMK.rieszMeasure is a bijection between linear functionals on C_c(X, ℝ≥0)
and regular measures with inverse NNRealRMK.integralLinearMap.
If two regular measures give the same integral for every function in C_c(X, ℝ≥0), then they
are equal.
If two regular measures induce the same linear functional on C_c(X, ℝ≥0), then they are
equal.
Every regular measure is induced by a positive linear functional on C_c(X, ℝ≥0).
That is, NNRealRMK.rieszMeasure is a surjective function onto regular measures.