Assuming dependent choice, Lebesgue measure on ℝ¹ is the copy of Lebesgue measure on ℝ, and Lebesgue measure on ℝ^{m+n} is the image of the product of Lebesgue measures on ℝ^m and ℝ^n under concatenation; hence integrals over ℝ^{m+n} are iterated integrals, for nonnegative and for integrable functions.
Images of product-measurable sets. For every E∈B(Rm)⊗B(Rn), ι[E]∈B(Rm+n) and
λm+n(ι[E])=(λm⊗λn)(E).
Tonelli's formula. Let f∈M+(Rm+n,B(Rm+n)). For every ξ∈Rm the function η↦f(ι(ξ,η)) lies in M+(Rn,B(Rn)), the function ξ↦∫Rnf(ι(ξ,η))dλn(η) lies in M+(Rm,B(Rm)), and
∫Rm+nfdλm+n=∫Rm(∫Rnf(ι(ξ,η))dλn(η))dλm(ξ).
Fubini's formula. Let f∈L1(λm+n). The set
N={ξ∈Rm:the function η↦f(ι(ξ,η)) does not lie in L1(λn)}
lies in B(Rm) and λm(N)=0; the function g:Rm→R with g(ξ)=∫Rnf(ι(ξ,η))dλn(η) for ξ∈Rm∖N and g(ξ)=0 for ξ∈N lies in L1(λm); and
Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.