Proof of Pairs of Euclidean Points: Coordinate Projections, Pairings, the Product Measure on a Euclidean Space, Borel Norm Functions and Finite Sets
lemmalem:euclidean-pairs-borel-toolkit-2026aProjections and pairings are handled coordinatewise through the componentwise criterion; the product sigma-algebra statement uses the generator criterion on Borel rectangles; the norm functions are sums of products of coordinate maps; finite sets are finite unions of singletons, each closed.
Each result cited is universally quantified over the data in its own statement. Throughout, "claim of the tuple lemma" refers to Euclidean Points as Tuples of Real Numbers, "of the Borel lemma" to The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets, and "of the concatenation lemma" to Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space. For the coordinate map , , is Borel by claim 1 of the Borel lemma. By claim 5 of Basic Properties of Initial Segments of the Natural Numbers, and for .
Claim 1. For let be the point of whose th component is for , and the point of whose th component is for ; both exist and are unique by claim 2 of the tuple lemma. For and the point has th component for and th component for , so and have the same components and are equal by claim 1 of the tuple lemma; likewise . Given , claim 1 of the concatenation lemma provides with , whence , and ; the same representation shows that any map with for all satisfies , so the projections are unique. The th component of is the map , which is Borel, so is Borel by claim 2 of the Borel lemma (with ); the th component of is , so is Borel likewise. Finally, writing as above, claim 3 of the concatenation lemma gives ; since by claim 2 of Nonnegativity of Squares in an Ordered Field, by claim 3 of Elementary Arithmetic in an Ordered Field, and by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field, both norms being nonnegative by Euclidean Norm on ; the bound for is the same with the roles of and exchanged.
Claim 2. By claim 3 of the tuple lemma, the map has th component for and th component for , by the description of . Since is measurable with respect to and , each of its components is measurable with respect to and by claim 2 of the Borel lemma, and likewise for ; hence every component of is measurable, and is measurable with respect to and by claim 2 of the Borel lemma again. The case is the statement for Borel . The swap is the pairing of and , formed with ; both are Borel by claim 1, so is Borel by what was just shown, with and the roles of and exchanged.
Claim 3. By claim 1 of Finite Products of Lebesgue Measure and Coordinate Integration on , is generated by the Borel rectangles of , the sets with all ; by claim 2 of Generator Criterion for Measurability it therefore suffices to show for every such . By the description of , a pair with entries and lies in exactly when for all and for all ; thus , where and are Borel rectangles of and of . These belong to and , since a generated -algebra contains its generators by claim 2 of Intersections of Sigma-Algebras and Minimality of the Generated Sigma-Algebra; so is a measurable rectangle, which belongs to by Product Sigma-Algebra and the same claim. Hence is measurable.
A probability measure is -finite (take every in Measure, Measure Space, and Probability Measure to be the whole space, of measure ), so exists by Existence and Uniqueness of the Product Measure, and it is a probability measure, as by that theorem; hence is a probability measure on by claim 1 of Image Measures, Measures with Densities, and Change of Variables. For and , a point lies in exactly when , which is the pair with entries and by claim 1 (as and is injective), lies in ; that is, , an intersection of two members of by claim 1 and Measurable Function and Real-Valued Measurable Function, hence a member by Sigma-Algebra and Measurable Space. Since is a bijection, , so by the definition of the image measure and Existence and Uniqueness of the Product Measure,
Taking gives , since ; so the image measure of under is , and taking shows that the image under is . Finally let be Borel. For real , , the preimage under the measurable map of a member of , so is measurable with respect to in the sense of Measure Spaces and the Lebesgue Integral: Standing Notation §measurable; and the integral identity is claim 2 of Image Measures, Measures with Densities, and Change of Variables with and .
Claim 4. By claim 1 of Elementary Properties of the Euclidean Norm on , for ; each is the product of the Borel map with itself, Borel by claim 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, and the finite sum is Borel by claim 2 there. Thus is Borel. For real , the set is if , and equals if , by claim 1 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field applied to the nonnegative numbers and ; in both cases it belongs to , so is Borel by Measure Spaces and the Lebesgue Integral: Standing Notation §measurable. Now let and . By Difference, Dot Product, and Orthogonality in , , and the difference has th component , so by claim 1 of Elementary Properties of the Euclidean Norm on ; both are finite sums of products of finite linear combinations of the Borel maps , , hence Borel by claims 2 and 3 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, and is Borel by the square-root argument just given. For the consequence, let be measurable. Each Euclidean space is a metric space under whose Borel -algebra in the sense of Borel Sigma-Algebra of a Metric Space is by The Borel -Algebras of Euclidean Space and of the Euclidean Metric Coincide, so claim 4 of Borel Measurability and Bounded Integration on a Metric Space applies: is the composition of with the Borel map , hence measurable. The pairing is measurable with respect to and by claim 2, and , by claim 1; so and are the compositions of with the Borel maps and , measurable by the same claim.
For the inequalities, let and write , , both nonnegative. By claim 5 of Zero Products and Elementary Identities in a Field, and , the latter from the former with in place of , using claim 2 of that lemma; as by claim 2 of Nonnegativity of Squares in an Ordered Field, claim 3 of Elementary Arithmetic in an Ordered Field gives , hence . Now by claims 2 and 3 of Euclidean Space is a Real Vector Space, and by claim 5 of Elementary Properties of the Euclidean Norm on , so claim 6 there gives ; as both sides are nonnegative, claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field gives . For the second inequality, by claim 3 of Euclidean Space is a Real Vector Space and the axioms of Vector Space over a Field, so by claim 6 of Elementary Properties of the Euclidean Norm on , and squaring as before gives . Finally is Cauchy-Schwarz Inequality for the Euclidean Dot Product, and follows from by multiplying with , which is positive by claims 8 and 7 of Elementary Order Arithmetic in an Ordered Field, using claim 5 of Elementary Arithmetic in an Ordered Field and .
Claim 5. Let . If , then by claim 2 of Elementary Identities in a Vector Space, so is positive by claims 1, 2 and 3 of Elementary Properties of the Euclidean Norm on , and the open ball does not contain , since is not less than ; thus , and is open. Hence is closed. A finite set is either empty, and then closed by claim 1 of Complements, Unions and Intersections of Closed Sets in a Topological Space, or has elements for some by Finite Set, that is, is the image of a bijection by Number of Elements of a Set, and then with the image of , a finite union of closed sets, closed by claim 2 of that lemma. Closed sets belong to by Euclidean Space and Lebesgue Measure: Standing Notation §borel, and so do their complements by Sigma-Algebra and Measurable Space. For the last assertion, if the map is the constant , Borel by claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions; otherwise, with as above, the map equals pointwise: at every summand with vanishes by injectivity of , so the sum is by claim 7 of Properties of Finite Sums, and at every summand vanishes, so the sum is by the same claim. Each is Borel by claim 1 of Arithmetic, Absolute Values, and Pointwise Limits of Measurable Real-Valued Functions, as , and the finite linear combination is Borel by claim 2 there.
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Prerequisites
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