Test functions on the real line are Lebesgue integrable; there are nonnegative ones of unit mass, and ones bounded by one of arbitrarily large mass; subtracting a multiple of a unit-mass one makes any test function have mean zero; and a test function of mean zero is the derivative of a test function.
In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, in dimension , with the identification of and and the notation of claims 1 and 2 of One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative in force; in particular each test function has a derivative , itself continuous and bounded. Let be the Lebesgue measure on .
1. (Test functions are Lebesgue integrable) Every is integrable with respect to , and so is .
2. (A nonnegative test function of unit mass) There is with for every and .
3. (Test functions of large mass bounded by one) For every positive real number there is with for every and .
4. (Mean-zero correction) Let be as in claim 2 and let . Then the function belongs to and satisfies .
5. (Primitive of a mean-zero test function) Let satisfy . Then there is with for every .
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