Throughout, products of nonnegative real numbers in [0,∞] are their real products (Addition and Multiplication on [0,∞] (ii)). A measure on (Rp,B(Rp)), p∈N, that gives every open box R(a,b) with ai<bi for all i∈[p] the value ∏i=1p(bi−ai) is λp, by the uniqueness in Existence and Uniqueness of Lebesgue Measure on ℝⁿ (iii) and Lebesgue Measure on Rn (i).
Dimension one. By Borel Sets of ℝ^{m+n} and the Product σ-Algebra of ℝ^m and ℝ^n (iii), τ is a B(R)/B(R1)-measurable bijection, and τ[B]∈B(R1) for every B∈B(R). The image measure λ∘τ−1 is a measure on (R1,B(R1)) (Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (i), Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (iv)). For a,b∈R1 with a1<b1 we have τ−1(R(a,b))=(a1,b1), since τ(t)1=t, so
(λ∘τ−1)(R(a,b))=λ((a1,b1))=b1−a1=i=1∏1(bi−ai)
(Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (i), Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i)). Hence λ∘τ−1=λ1, and for every B∈B(R), since τ−1(τ[B])=B for the bijection τ (Images and Preimages under a Bijection and Its Inverse (ii)),
λ1(τ[B])=λ(τ−1(τ[B]))=λ(B).
This proves (i).
Concatenation. The measures λm and λn are σ-finite (Lebesgue Measure on ℝⁿ: σ-Finiteness, Bounded Sets, Open Sets and Coordinate Hyperplanes (i)), so λm⊗λn is a measure on B(Rm)⊗B(Rn) with
(λm⊗λn)(A×B)=λm(A)λn(B)(A∈B(Rm), B∈B(Rn))
(Existence and Uniqueness of the Product Measure (i)). Since ι is B(Rm)⊗B(Rn)/B(Rm+n)-measurable (Borel Sets of ℝ^{m+n} and the Product σ-Algebra of ℝ^m and ℝ^n (i)), ρ=(λm⊗λn)∘ι−1 is a measure on (Rm+n,B(Rm+n)) (Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (i)).
Let a,b∈Rm+n with ak<bk for every k∈[m+n], and let (a′,a′′) and (b′,b′′) be the pairs that ι maps to a and b (Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (iii)): ak′=ak and bk′=bk for k∈[m], and aj′′=am+j and bj′′=bm+j for j∈[n]. By Open Boxes: Emptiness, Intersections and Preimages under Concatenation (iii),
ι−1(R(a,b))=R(a′,b′)×R(a′′,b′′),
where R(a′,b′)∈B(Rm) and R(a′′,b′′)∈B(Rn), open boxes being Borel (Existence and Uniqueness of Lebesgue Measure on ℝⁿ (i), Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (iii)). The product formula therefore applies, and
ρ(R(a,b))=λm(R(a′,b′))λn(R(a′′,b′′))=(k=1∏m(bk−ak))(j=1∏n(bm+j−am+j))=k=1∏m+n(bk−ak),
the last equality by Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (iii). Therefore ρ=λm+n. This proves (ii).
Images of product-measurable sets. For E∈B(Rm)⊗B(Rn), ι[E]∈B(Rm+n) by Borel Sets of ℝ^{m+n} and the Product σ-Algebra of ℝ^m and ℝ^n (ii), and ι−1(ι[E])=E because ι is a bijection (Images and Preimages under a Bijection and Its Inverse (ii)); so, by (ii),
λm+n(ι[E])=ρ(ι[E])=(λm⊗λn)(E).
This proves (iii).
Nonnegative functions. Let f∈M+(Rm+n,B(Rm+n)) and F=f∘ι, so F(ξ,η)=f(ι(ξ,η)). By Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (ii) and (ii), F∈M+(Rm×Rn,B(Rm)⊗B(Rn)) and
∫Rm+nfdλm+n=∫Rm+nfd((λm⊗λn)∘ι−1)=∫Rm×RnFd(λm⊗λn).
Tonelli's theorem Tonelli's and Fubini's Theorems (i), applied to F and the σ-finite measures λm and λn, says that each function η↦F(ξ,η) lies in M+(Rn,B(Rn)), that ξ↦∫RnF(ξ,η)dλn(η) lies in M+(Rm,B(Rm)), and that the last integral above equals ∫Rm(∫RnF(ξ,η)dλn(η))dλm(ξ). This is (iv).
Integrable functions. Let f∈L1(λm+n) and F=f∘ι. By Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (iii) and (ii), F∈L1(λm⊗λn) and
∫Rm+nfdλm+n=∫Rm×RnFd(λm⊗λn).
The section of F at ξ∈Rm is the function η↦f(ι(ξ,η)) (Precomposition Commutes with Pointwise Operations, and Sections of Functions Are Precompositions (iv)), so the set of ξ at which this section does not lie in L1(λn) is the set N of (v), and the function I of Tonelli's and Fubini's Theorems (ii) for F is the function g of (v). Fubini's theorem Tonelli's and Fubini's Theorems (ii), applied to F and the σ-finite measures λm and λn, therefore gives N∈B(Rm), λm(N)=0 and g∈L1(λm), with
∫Rm×RnFd(λm⊗λn)=∫Rmgdλm.
This proves (v).