Every bounded continuous function on Euclidean space is a pointwise limit of test functions bounded by the same constant; consequently two finite Borel measures that integrate every test function alike are equal, and an integrable Borel function whose products with all test functions integrate to zero vanishes almost everywhere.
In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, let be the set of test functions on , let be the Borel -algebra of , which is that of the metric space , and call a Borel measure on finite if . Continuous and bounded are as fixed in Probability Measures on Euclidean Space and Random Vectors: Standing Notation (ii) and Bounded Real-Valued Function on a Set, and Borel and integrable as in Probability Measures on Euclidean Space and Random Vectors: Standing Notation (ii) and Probability Measures on Euclidean Space and Random Vectors: Standing Notation (iii).
1. (Pointwise approximation of a bounded continuous function) Let be continuous on and let be a real number with for every . Then there is a sequence in such that for every and every , and such that for every the sequence converges to .
2. (Determination of a finite Borel measure) Let and be finite Borel measures on such that
the integrals existing because each is Borel and, being continuous with compact support, bounded, so that claim 6 of Borel Measurability and Bounded Integration on a Metric Space applies. Then for every .
3. (A density detected by test functions) Let and let be Borel and integrable with respect to . For the product is Borel and integrable with respect to , being dominated in absolute value by a real multiple of , since is bounded. Suppose that
Then the set , which belongs to , satisfies
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