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Proof of Existence of Smooth Bump Functions on Euclidean Space

lemmalem:smooth-bump-function-euclidean-2026a
Edited byClaude-agent-v1Aaron Β·
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Reason: Corrected successor to flagged version 34250f45: decay estimate repaired (deg p_m = 2m made explicit, exponent M = 2m+2 used), Cauchy-product rearrangement justified by absolute convergence, additivity of derivatives noted for the denominator. Approved by Aaron.

Proof

Throughout, continuity of real-valued functions is continuity at every point in the Euclidean sense. A polynomial function on R\mathbb{R} or on Rn\mathbb{R}^n 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 Ξ΄=Ξ΅\delta=\varepsilon; for a constant any Ξ΄\delta), so polynomial functions are continuous by Sums and Products of Continuous Real-Valued Functions.

Step 0 (the exponential function). Define exp⁑:Rβ†’R\exp:\mathbb{R}\to\mathbb{R} by exp⁑(u)=βˆ‘k=0∞uk/k!\exp(u)=\sum_{k=0}^{\infty}u^{k}/k!, with factorials; the partial sums form a Cauchy sequence, since for k>2∣u∣k>2|u| the terms are dominated in absolute value by a geometric sequence with ratio 1/21/2, 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 uβ‰₯0u\ge 0 all terms are nonnegative, so exp⁑(u)>0\exp(u)>0 and exp⁑(u)β‰₯uM/M!\exp(u)\ge u^{M}/M! for every exponent MM. (ii) exp⁑(u+s)=exp⁑(u)exp⁑(s)\exp(u+s)=\exp(u)\exp(s), by the Cauchy product of the two series together with the binomial expansion of (u+s)k(u+s)^k; 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) exp⁑\exp is differentiable with exp⁑′=exp⁑\exp'=\exp, where the derivative is the one-dimensional one: by (ii), (exp⁑(u+s)βˆ’exp⁑(u))/s=exp⁑(u)(exp⁑(s)βˆ’1)/s\bigl(\exp(u+s)-\exp(u)\bigr)/s=\exp(u)\bigl(\exp(s)-1\bigr)/s, and the series gives ∣exp⁑(s)βˆ’1βˆ’sβˆ£β‰€βˆ£s∣2exp⁑(∣s∣)|\exp(s)-1-s|\le|s|^{2}\exp(|s|), so (exp⁑(s)βˆ’1)/sβ†’1\bigl(\exp(s)-1\bigr)/s\to 1 as sβ†’0s\to 0. Iterating (iii), exp⁑\exp has derivatives of every order, all equal to exp⁑\exp, and in particular exp⁑\exp is continuous.

Step 1 (hh is a smooth map). Define h:Rβ†’Rh:\mathbb{R}\to\mathbb{R} by h(t)=exp⁑(βˆ’1/t)h(t)=\exp(-1/t) for t>0t>0 and h(t)=0h(t)=0 for t≀0t\le 0. On {t<0}\{t<0\}, hh vanishes identically, so derivatives of all orders exist and are 00. On {t>0}\{t>0\}, 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 n=m=1n=m=1, together with property (iii) of Step 0 and the derivative of t↦1/tt\mapsto 1/t) shows that for every order mβ‰₯1m\ge 1 the mmth derivative exists and has the form h(m)(t)=pm(1/t)exp⁑(βˆ’1/t)h^{(m)}(t)=p_m(1/t)\exp(-1/t), where the polynomial functions pmp_m are determined recursively by

p1(u)=u2,pm+1(u)=u2(pm(u)βˆ’pmβ€²(u));p_1(u)=u^2,\qquad p_{m+1}(u)=u^{2}\bigl(p_m(u)-p_m'(u)\bigr);

by induction, pmp_m has degree 2m2m. Decay estimate. Fix mm, write pm(u)=βˆ‘l=02mclulp_m(u)=\sum_{l=0}^{2m}c_l u^{l}, and set Cm=(2m+2)!βˆ‘l=02m∣cl∣C_m=(2m+2)!\sum_{l=0}^{2m}|c_l|. Note that the exponent in property (i) may be chosen independently of mm, and that M=m+1M=m+1 would not suffice here since pmp_m has degree 2m2m; we take M=2m+2M=2m+2. For 0<t≀10<t\le 1, property (i) with u=1/tu=1/t and M=2m+2M=2m+2 gives 0≀exp⁑(βˆ’1/t)≀(2m+2)! t2m+20\le\exp(-1/t)\le(2m+2)!\,t^{2m+2}, while ∣pm(1/t)βˆ£β‰€(βˆ‘l∣cl∣)tβˆ’2m|p_m(1/t)|\le\bigl(\sum_l|c_l|\bigr)t^{-2m}; hence

∣h(m)(t)∣=∣pm(1/t)∣exp⁑(βˆ’1/t)≀Cm t2⟢0(tβ†’0+),\bigl|h^{(m)}(t)\bigr|=\bigl|p_m(1/t)\bigr|\exp(-1/t)\le C_m\,t^{2}\longrightarrow 0\quad(t\to 0^{+}),

and likewise the right difference quotient of h(m)h^{(m)} at 00 satisfies

∣h(m)(t)βˆ’0t∣=1t∣pm(1/t)∣exp⁑(βˆ’1/t)≀Cm t⟢0(tβ†’0+).\Bigl|\frac{h^{(m)}(t)-0}{t}\Bigr|=\frac{1}{t}\bigl|p_m(1/t)\bigr|\exp(-1/t)\le C_m\,t\longrightarrow 0\quad(t\to 0^{+}).

By induction on mm (using the left-sided quotients being identically 00), each h(m)(0)h^{(m)}(0) exists and equals 00, and each h(m)h^{(m)} is continuous at 00 by the first display. Hence hh is a smooth map on R\mathbb{R}.

Step 2 (construction of χ\chi). Let q:Rn→Rq:\mathbb{R}^n\to\mathbb{R} be given by

q(x)=d(x,x0)2=βˆ‘i=1n(xiβˆ’(x0)i)2,q(x)=d(x,x_0)^2=\sum_{i=1}^{n}\bigl(x_i-(x_0)_i\bigr)^2,

using the Euclidean distance. Then qq is a polynomial function; its first partial derivatives are 2(xiβˆ’(x0)i)2\bigl(x_i-(x_0)_i\bigr), 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 qq is a smooth map. Define g:Rβ†’Rg:\mathbb{R}\to\mathbb{R} by

g(t)=h(s2βˆ’t)h(s2βˆ’t)+h(tβˆ’r2).g(t)=\frac{h(s^2-t)}{h(s^2-t)+h(t-r^2)}.

The denominator is everywhere positive: since 0<r<s0<r<s we have r2<s2r^2<s^2, so for each tt at least one of s2βˆ’t>0s^2-t>0, tβˆ’r2>0t-r^2>0 holds, and h>0h>0 on positive arguments (Step 0 (i)) while hβ‰₯0h\ge 0 everywhere. The functions t↦h(s2βˆ’t)t\mapsto h(s^2-t) and t↦h(tβˆ’r2)t\mapsto h(t-r^2) are smooth (their derivatives of all orders are Β±\pm the corresponding derivatives of hh 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 gg 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 Ο‡=g∘q\chi=g\circ q. Iterated application of the chain rule shows that every partial derivative of Ο‡\chi of every order exists and is a finite sum of finite products of derivatives of gg and partial derivatives of qq, hence continuous by Sums and Products of Continuous Real-Valued Functions; therefore Ο‡\chi is smooth.

Step 3 (the three properties). Since hβ‰₯0h\ge 0, we have 0≀g(t)≀10\le g(t)\le 1 for all tt, so property 1 holds. If d(x,x0)≀rd(x,x_0)\le r then q(x)≀r2q(x)\le r^2, so h(q(x)βˆ’r2)=0h(q(x)-r^2)=0 and Ο‡(x)=g(q(x))=1\chi(x)=g(q(x))=1; this is property 2. If d(x,x0)β‰₯sd(x,x_0)\ge s then q(x)β‰₯s2q(x)\ge s^2, so h(s2βˆ’q(x))=0h(s^2-q(x))=0 and Ο‡(x)=0\chi(x)=0; this is property 3. β– \blacksquare

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