The measure is the Radon measure constructed from the functional; the inequality between the functional and the integral is proved by partitioning the range of the function into short intervals, choosing open neighbourhoods of the level pieces and a subordinate partition of unity, and applying it to the negative gives equality. Uniqueness is the determination of Radon measures by their integrals, and for a bounded functional the total mass is compared with the dual norm directly.
Throughout, sums, scalar multiples, products and absolute values of elements of lie in , with the support inclusions of Continuous Functions with Compact Support: the Zero Function, Closure under Operations, Vanishing off the Support, Existence of the Maximum Modulus, and Uniform Continuity (ii), and every vanishes off by Continuous Functions with Compact Support: the Zero Function, Closure under Operations, Vanishing off the Support, Existence of the Maximum Modulus, and Uniform Continuity (iii). Finite sums over exist by Iterating a Binary Operation along a Finite List (i) and are handled with Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (i), Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (v), Iterated Operations: Recursion, Splitting, Reordering, Termwise Combination and Homomorphisms (ii), Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (i), Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (ii), Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (iii) and Finite Sums in a Commutative Ring and in an Ordered Field: Distributivity, Differences, Telescoping, Constant Terms, Comparison and the Triangle Inequality (v). For an open set we write if , and .
Step 1 (the measure). Let , for open , and be as in The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity, for , so that ; and let , a Radon measure on by The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity (iv). We use three of its properties. First, for open and we have , the equality by The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity (i). Second, for compact and with we have , and , by The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity (ii). Third, for with and real there is an open with , since is the infimum of the values over open . Moreover is monotone: if and , then by linearity and positivity.
Step 2 (reduction to functions with values in ). We show that satisfies the identity of (i); every is -integrable by Radon Measures and Finite Signed Borel Measures Are Determined by Their Integrals of Compactly Supported Continuous Functions (i). It suffices to show
Indeed, let and , so that by The Space of Continuous Functions with Compact Support and the Uniform Norm (iii). If , then and both sides of the identity vanish. If , the functions lie in and satisfy and , so lie in and satisfy . By linearity of and of the integral (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vii)),
Step 3 (slicing ). Fix with , and fix . Let , a compact set, and for let
For the set is closed, being the complement of the preimage of the open set under the continuous function (Continuity of a Map Between Metric Spaces via Preimages of Open Sets (i)), and it lies in , since gives and hence by Support of a Real Function on a Metric Space (i). Thus every is closed and compact (for as a closed subset of , by Closed Subsets of Compact Sets Are Compact, and Compact Subsets of a Metric Space Are Closed and Bounded (i)), hence Borel (Borel Sets of a Metric Space: Open and Closed Sets, Points, Open Sets of Subspaces, and Subspaces (ii)) and of finite measure (Step 1). For let
Each is continuous: the function on changes by at most between and , so for all , and the continuity of at a point gives that of with the same . Moreover , and only if , which gives : for by the definition of , and for because then . Thus the set lies in the closed set , and so does its closure:
Hence , a closed subset of the compact set , is compact by Closed Subsets of Compact Sets Are Compact, and Compact Subsets of a Metric Space Are Closed and Bounded (i), and . Finally, checking the three cases , and shows
so summing over the right-hand sides telescope to , as :
Step 4 (bounds for ). Let . On we have , so there; together with and off (Step 3) this gives
Moreover , , and by the support inclusion for scalar multiples and Step 3.
Step 5 (the functional on ). Let . Since is compact and by Step 4, the second property in Step 1 gives . Let be real. As is Borel with (Step 3), the third property in Step 1 gives an open with ; by Step 4, , so the first property gives . As is arbitrary, , and since ,
Step 6 (the integral of ). For the indicator is a nonnegative real-valued function, measurable into with by Basic Properties of the Integral of Nonnegative Measurable Maps (ii), and so measurable as a real-valued function by Measurable Maps: Generators, Composition, Continuous Maps, Restrictions, and Criteria for Real- and [0,∞]-Valued Maps (vii); hence it is -integrable with this integral by Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vi); and each is -integrable by Radon Measures and Finite Signed Borel Measures Are Determined by Their Integrals of Compactly Supported Continuous Functions (i). Linearity (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (vii)) and monotonicity (Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (ix)) of the integral, applied to the bounds of Step 4, give
Step 7 (conclusion). The are real numbers by Step 3; put
Since the sum in is the pointwise sum (The Space of Continuous Functions with Compact Support and the Uniform Norm (ii)), the pointwise sum of Step 3 is also the sum in , so by linearity of , and by Linearity and Monotonicity of the Lebesgue Integral, and the Integrability Criterion (viii). Summing the bounds of Steps 5 and 6 over therefore shows that and both lie between and , and the difference telescopes:
Here was arbitrary, while does not depend on and . If were positive, The Integers in the Real Numbers: Greatest Elements, the Integer Part, and Archimedean Consequences (ii) would give with , contradicting the estimate for this . Hence , and by Step 2 the Radon measure satisfies the identity of (i), which proves (i).
Step 8 (uniqueness). Let and be the measures of (ii): Radon measures on that both satisfy the identity of (i). Then for every , and Radon Measures and Finite Signed Borel Measures Are Determined by Their Integrals of Compactly Supported Continuous Functions (ii) gives for every . This proves (ii).
Step 9 (the total mass equals the supremum). Let now . By (ii) the Radon measure of (i) is the measure of Step 1, and since is open, The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity (i) and the definition of as in The Radon Measure of a Positive Linear Functional on C_c(X): the Outer Measure, Compact Sets, Borel Measurability and Regularity give
Step 10 (the supremum is at most the dual norm). If and , then , and since the dual norm is a bound for (The Nonnegative Bounds of a Bounded Linear Functional Have an Infimum, Which Is a Bound (ii)),
Hence , and in particular is finite.
Step 11 (the dual norm is at most the supremum). Let and . If then and . If , the function lies in and satisfies , so ; and since , monotonicity gives . Thus
so (as lies in the set defining ) is a nonnegative bound for , and because is the infimum of these bounds by The Dual Norm (i). With Steps 9 and 10, , which proves (iii).
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