Proof of Existence of Smooth Bump Functions on Euclidean Space
lemmalem:smooth-bump-function-euclidean-2026aThroughout, continuity of real-valued functions is continuity at every point in the Euclidean sense. A polynomial function on or on means a finite sum of finite products of constant functions and coordinate functions. Constant functions and coordinate functions are continuous directly from that definition (for a coordinate function take ; for a constant any ), so polynomial functions are continuous by Sums and Products of Continuous Real-Valued Functions.
Step 0 (the exponential function). Define by , with factorials; the partial sums form a Cauchy sequence, since for the terms are dominated in absolute value by a geometric sequence with ratio , and hence converge by Every Cauchy Sequence of Real Numbers Converges; the same domination shows the series converges absolutely. We use three properties. (i) For all terms are nonnegative, so and for every exponent . (ii) , by the Cauchy product of the two series together with the binomial expansion of ; the rearrangement of the doubly indexed series is justified by absolute convergence, comparing all partial sums with the product of the two absolute-value series. (iii) is differentiable with , where the derivative is the one-dimensional one: by (ii), , and the series gives , so as . Iterating (iii), has derivatives of every order, all equal to , and in particular is continuous.
Step 1 ( is a smooth map). Define by for and for . On , vanishes identically, so derivatives of all orders exist and are . On , an induction using the one-variable product and chain rules (the chain rule and Products and Quotients of C^k Real-Valued Maps on Euclidean Open Sets Are C^k in the case , together with property (iii) of Step 0 and the derivative of ) shows that for every order the th derivative exists and has the form , where the polynomial functions are determined recursively by
by induction, has degree . Decay estimate. Fix , write , and set . Note that the exponent in property (i) may be chosen independently of , and that would not suffice here since has degree ; we take . For , property (i) with and gives , while ; hence
and likewise the right difference quotient of at satisfies
By induction on (using the left-sided quotients being identically ), each exists and equals , and each is continuous at by the first display. Hence is a smooth map on .
Step 2 (construction of ). Let be given by
using the Euclidean distance. Then is a polynomial function; its first partial derivatives are , its second-order partial derivatives are constant, and all partial derivatives of order at least three vanish; all of these are polynomial functions, hence continuous by the opening paragraph, so is a smooth map. Define by
The denominator is everywhere positive: since we have , so for each at least one of , holds, and on positive arguments (Step 0 (i)) while everywhere. The functions and are smooth (their derivatives of all orders are the corresponding derivatives of evaluated along the affine map), and their sum is smooth because derivatives of every order are additive (immediate from the definition of the derivative and limit arithmetic); so is smooth by Products and Quotients of C^k Real-Valued Maps on Euclidean Open Sets Are C^k applied to the quotient with nonvanishing denominator.
Set . Iterated application of the chain rule shows that every partial derivative of of every order exists and is a finite sum of finite products of derivatives of and partial derivatives of , hence continuous by Sums and Products of Continuous Real-Valued Functions; therefore is smooth.
Step 3 (the three properties). Since , we have for all , so property 1 holds. If then , so and ; this is property 2. If then , so and ; this is property 3.
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Prerequisites
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