Boxes are Borel, closed under intersection and generate the open sets; the cubes cover ℝⁿ, so the π-λ uniqueness theorem gives the determination by boxes. Existence is by induction on the dimension: the image of Lebesgue measure on ℝ in dimension one, and the image of a product measure under concatenation in the step.
Steps 1 to 4 are proved for an arbitrary dimension , and are used in Step 6 in every dimension.
Step 1: open boxes are Borel. Let . For , the set is the preimage of the open interval under the -th coordinate function, so it lies in (Intervals Are Borel, and Rays, Half-Open Intervals and Rational Intervals Generate the Borel Sigma-Algebra of the Real Line (ii), The Borel Sets of ℝⁿ and of the Real Matrices Are Generated by the Coordinates (iii), Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (iii)). The open box is the intersection of these sets, a finite intersection of Borel sets, so (Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (ix), by induction on the number of sets). Hence .
Step 2: a -system. Let . By Open Boxes: Emptiness, Intersections and Preimages under Concatenation (ii), the points with components and satisfy
and is a -system on .
Step 3: the boxes generate . By Step 1, (Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (iv)). Conversely, let be open. By The Borel Sets of ℝⁿ and of the Real Matrices Are Generated by the Coordinates (i), , where each is a rational open box , ; reading the components of and as real numbers (The Real Numbers, with the Natural Numbers, Integers and Rationals Identified with Subsets of the Reals, and Completeness (v)), is an open box in the sense of Open Boxes in ℝⁿ (i), so and . Thus every open subset of lies in , and (Borel Sigma-Algebra of a Metric Space (i), Closure Properties of σ-Algebras, Intersections and Traces of σ-Algebras, and the Generated σ-Algebra (iv)).
Step 4: the cubes cover . Let . There is with (The Integers in the Real Numbers: Greatest Elements, the Integer Part, and Archimedean Consequences (ii), with ), and for every (Properties of the Euclidean Norm on : Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square (iv)). So for every , that is, . Steps 2 and 3 prove (i), and Step 4 proves (ii).
Step 5: boxes determine measures. Let and be as in (iv). The cubes are open boxes, so is a sequence in with union (Step 4) and for every . Since is a -system generating on which and agree, by Uniqueness of Measures Agreeing on a Generating π-System (ii). This proves (iv).
Step 6: existence. For let be the statement: there is a measure on with for all with for every . We prove for every by induction (Induction for Predicative Formulas, and the Order of ℕ below 1 and below n+1 (i); is predicative by Routine Facts Used Without Citation: Arithmetic, Maps, Predicativity and Indices (iv)). Throughout, products of nonnegative real numbers in are their real products (Addition and Multiplication on [0,∞] (ii)).
A measure as in is -finite: the cubes of , , with , lie in (Step 1), cover (Step 4), and is a real number.
Dimension one. Let be the function with , which is -measurable by Borel Sets of ℝ^{m+n} and the Product σ-Algebra of ℝ^m and ℝ^n (iii). Lebesgue measure is a measure on (Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (iv)), so its image measure is a measure on (Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (i)). Let with . Since , we have , and
(Lebesgue Measure on the Real Line: Existence, Lengths of Intervals and Uniqueness (i), Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i)). So holds.
From to . Assume , let be a measure as there, and let be the measure just constructed; both are -finite. Their product measure is a measure on the product -algebra with
(Existence and Uniqueness of the Product Measure (i)). The concatenation function of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (ii) is -measurable (Borel Sets of ℝ^{m+n} and the Product σ-Algebra of ℝ^m and ℝ^n (i)), so is a measure on (Image Measures and Measures with a Density: Measures, Integrals and Change of Variables (i)).
Let with for every , and let and be the pairs that maps to and (Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space (iii)): and for , and , . By Open Boxes: Emptiness, Intersections and Preimages under Concatenation (iii),
a product of Borel sets by Step 1. Here by , and by the dimension-one computation above. Therefore
the last equality by Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i). So holds, and by induction holds: a measure as in (iii) exists.
Step 7: uniqueness. Let and be measures as in (iii), and let . If for every , then , a real number. Otherwise for some , so (Open Boxes: Emptiness, Intersections and Preimages under Concatenation (i)) and . Thus and agree and are finite on every open box, and by Step 5.
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