Lebesgue-Radon-Nikodym derivative, measure theory
Let φ:[0,1]→[0,1] be continuous and let dμ be a Borel probability measure on [0,1]. Suppose μ(φ−1(E))=0 for every Borel set E⊆[0,1] with μ(E)=0. Show that there is a Borel measurable function w:[0,1]→[0,∞) so that
∫(f∘φ)(x)dμ(x)=∫f(y)w(y)dμ(y)for all continuous f:[0,1]→R.
Solution.
Observe that μ∘φ−1 is a measure on [0,1]: μ(φ−1(∅))=μ(∅)=0 and if {En}n is a sequence of disjoint measurable sets, φ−1(En)∩φ−1(Em)=∅ if n=m, and so σ-additivity follows from σ-additivity of μ.
Notice that the assumption on μ∘φ−1 says precisely that μ∘φ−1 is absolutely continuous with respect to μ. Hence, because μ is a finite measure, we may apply the Radon-Nikodym theorem to obtain w∈L1(μ) such that
μ(φ−1(E))=∫Ew(y)dμ(y).
Notice also that
μ(φ−1(E))=∫χφ−1(E)dμ=∫χE∘φdμ.
By linearity, we then see that
∫(f∘φ)(x)dμ(x)=∫f(y)w(y)dμ(y)
holds if f is simple. Since simple functions are dense in L1, it follows that this formula holds for f∈L1 and in particular, for f continuous.