For a test function, each partial derivative and the Laplacian are continuous, compactly supported and bounded, so the gradient is a bounded Borel vector field whose squared norm is integrable against every Borel probability measure, and the Laplacian is integrable against every such measure; test functions form a linear space on which gradient and Laplacian act linearly.
Adopt Probability Measures on Euclidean Space and Random Vectors: Standing Notation and Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation, and fix a dimension ; a scalar written in the latter setting is written here, and the letter is reserved for a probability measure on . Let be a test function, with gradient map , whose components are the partial derivatives , , and Laplacian . Continuity is that of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation (iv), compact support that of Test Functions on Euclidean Space, Their Gradient Maps and Laplacians (i), and for integrable with respect to is integrable on the measure space . Sums and scalar multiples of points of are those of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation (i).
1. (Gradient) For every the function is continuous, compactly supported and bounded. The map is Borel, and there is a real number with for every . Consequently the function is Borel and bounded, and for every it is integrable with respect to , with
2. (Laplacian) The function is continuous, compactly supported, bounded and Borel; hence it is integrable with respect to every .
3. (Linearity) The set is a linear subspace of the vector space of real-valued maps on , and for all , and ,
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