Order arithmetic is that of Elementary Order Arithmetic in an Ordered Field and Elementary Arithmetic in an Ordered Field , absolute values have the properties of Properties of the Absolute Value in an Ordered Field , and 2 = 1 + 1 2=1+1 2 = 1 + 1 . By Lebesgue Measure on R n \mathbb{R}^n R n the triple formed by R n \mathbb{R}^{n} R n , its Borel σ \sigma σ -algebra and λ n \lambda_{n} λ n is a measure space .
Step 1 (proof of claim 1). By A Compact Subset of an Open Set Admits a Uniform Ball Radius , applied to the metric space ( R n , d ) (\mathbb{R}^{n},d) ( R n , d ) , the open set Ω \Omega Ω and the compact set K K K , there is a real number r r r with 0 < r 0<r 0 < r such that B ˉ ( x , r ) ⊆ Ω \bar B(x,r)\subseteq\Omega B ˉ ( x , r ) ⊆ Ω for every x ∈ K x\in K x ∈ K .
Put ε 1 = r δ − 1 \varepsilon_{1}=r\,\delta^{-1} ε 1 = r δ − 1 ; it is positive by claims 7 and 5 of Elementary Order Arithmetic in an Ordered Field . Let ε \varepsilon ε satisfy 0 < ε ≤ ε 1 0<\varepsilon\le\varepsilon_{1} 0 < ε ≤ ε 1 and let x ∈ K x\in K x ∈ K . Multiplying ε ≤ ε 1 \varepsilon\le\varepsilon_{1} ε ≤ ε 1 by the nonnegative element δ \delta δ (claim 5 of Elementary Arithmetic in an Ordered Field ) gives ε δ ≤ ε 1 δ = ( r δ − 1 ) δ = r \varepsilon\delta\le\varepsilon_{1}\delta=(r\delta^{-1})\delta=r ε δ ≤ ε 1 δ = ( r δ − 1 ) δ = r . Hence every y y y with d ( x , y ) ≤ ε δ d(x,y)\le\varepsilon\delta d ( x , y ) ≤ ε δ satisfies d ( x , y ) ≤ r d(x,y)\le r d ( x , y ) ≤ r , so B ˉ ( x , ε δ ) ⊆ B ˉ ( x , r ) ⊆ Ω \bar B(x,\varepsilon\delta)\subseteq\bar B(x,r)\subseteq\Omega B ˉ ( x , ε δ ) ⊆ B ˉ ( x , r ) ⊆ Ω by Closed Ball in a Metric Space . Thus x ∈ Ω ε δ x\in\Omega^{\varepsilon\delta} x ∈ Ω ε δ , and since x ∈ K x\in K x ∈ K was arbitrary, K ⊆ Ω ε δ K\subseteq\Omega^{\varepsilon\delta} K ⊆ Ω ε δ .
Step 2 (choice of ε 0 \varepsilon_{0} ε 0 ). Let η \eta η satisfy 0 < η 0<\eta 0 < η and put η ′ = η ⋅ 2 − 1 \eta'=\eta\cdot 2^{-1} η ′ = η ⋅ 2 − 1 , so that 0 < η ′ 0<\eta' 0 < η ′ and η ′ < η \eta'<\eta η ′ < η by claim 8 of Elementary Order Arithmetic in an Ordered Field .
By Uniform Continuity Along a Compact Subset of the Domain , applied to ( R n , d ) (\mathbb{R}^{n},d) ( R n , d ) , to Ω \Omega Ω , to K K K , to f f f and to η ′ \eta' η ′ , there is a real number θ \theta θ with 0 < θ 0<\theta 0 < θ such that
∣ f ( z ) − f ( x ) ∣ < η ′ for every x ∈ K and every z ∈ Ω with d ( x , z ) < θ . |f(z)-f(x)|<\eta'\qquad\text{for every }x\in K\text{ and every }z\in\Omega\text{ with }d(x,z)<\theta . ∣ f ( z ) − f ( x ) ∣ < η ′ for every x ∈ K and every z ∈ Ω with d ( x , z ) < θ .
Let ε 0 \varepsilon_{0} ε 0 be the smaller of ε 1 \varepsilon_{1} ε 1 and θ δ − 1 \theta\,\delta^{-1} θ δ − 1 (claim 9 of Elementary Order Arithmetic in an Ordered Field ); both are positive, so 0 < ε 0 0<\varepsilon_{0} 0 < ε 0 .
Now fix ε \varepsilon ε with 0 < ε < ε 0 0<\varepsilon<\varepsilon_{0} 0 < ε < ε 0 and fix x ∈ K x\in K x ∈ K . From ε < ε 0 ≤ ε 1 \varepsilon<\varepsilon_{0}\le\varepsilon_{1} ε < ε 0 ≤ ε 1 we get ε ≤ ε 1 \varepsilon\le\varepsilon_{1} ε ≤ ε 1 (claim 2 of Elementary Order Arithmetic in an Ordered Field ), so Step 1 gives K ⊆ Ω ε δ K\subseteq\Omega^{\varepsilon\delta} K ⊆ Ω ε δ and in particular B ˉ ( x , ε δ ) ⊆ Ω \bar B(x,\varepsilon\delta)\subseteq\Omega B ˉ ( x , ε δ ) ⊆ Ω . From ε < ε 0 ≤ θ δ − 1 \varepsilon<\varepsilon_{0}\le\theta\delta^{-1} ε < ε 0 ≤ θ δ − 1 and claim 10 of Elementary Order Arithmetic in an Ordered Field , multiplying by the positive element δ \delta δ , we get ε δ < ( θ δ − 1 ) δ = θ \varepsilon\delta<(\theta\delta^{-1})\delta=\theta ε δ < ( θ δ − 1 ) δ = θ .
Step 3 (two convolution integrands). By Rescaling a Mollifier Kernel , ρ ε \rho_{\varepsilon} ρ ε is a mollifier kernel of radius ε δ \varepsilon\delta ε δ ; by conditions 2, 3 and 4 of Mollifier Kernel of Radius δ \delta δ on R n \mathbb{R}^n R n it satisfies 0 ≤ ρ ε ( y ) 0\le\rho_{\varepsilon}(y) 0 ≤ ρ ε ( y ) for every y y y , it vanishes at every y y y with ε δ < ∥ y ∥ \varepsilon\delta<\lVert y\rVert ε δ < ∥ y ∥ , and it is integrable with ∫ R n ρ ε d λ n = 1 \int_{\mathbb{R}^{n}}\rho_{\varepsilon}\,d\lambda_{n}=1 ∫ R n ρ ε d λ n = 1 . By condition 1 and claim 3 of Euclidean Space is Open in Itself, and C k C^k C k Maps are Continuous it is continuous on R n \mathbb{R}^{n} R n as a map into ( R , d R ) (\mathbb{R},d_{\mathbb{R}}) ( R , d R ) .
Let h x : R n → R h_{x}:\mathbb{R}^{n}\to\mathbb{R} h x : R n → R be the integrand of Convolution of a Continuous Function with a Compactly Supported Continuous Kernel for f f f and the kernel ρ ε \rho_{\varepsilon} ρ ε of radius ε δ \varepsilon\delta ε δ at the point x x x , that is, h x ( y ) = f ( x − y ) ρ ε ( y ) h_{x}(y)=f(x-y)\rho_{\varepsilon}(y) h x ( y ) = f ( x − y ) ρ ε ( y ) for those y y y with x − y ∈ Ω x-y\in\Omega x − y ∈ Ω and h x ( y ) = 0 h_{x}(y)=0 h x ( y ) = 0 for all other y y y ; thus ( f ∗ ρ ε ) ( x ) = ∫ R n h x d λ n (f*\rho_{\varepsilon})(x)=\int_{\mathbb{R}^{n}}h_{x}\,d\lambda_{n} ( f ∗ ρ ε ) ( x ) = ∫ R n h x d λ n , and h x h_{x} h x is integrable by claim 1 of The Convolution Integrand is Continuous, Compactly Supported and Integrable .
Let F : Ω → R F:\Omega\to\mathbb{R} F : Ω → R be given by F ( z ) = f ( z ) + ( − f ( x ) ) F(z)=f(z)+(-f(x)) F ( z ) = f ( z ) + ( − f ( x )) . By claims 1, 2 and 5 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space , F F F is continuous on Ω \Omega Ω as a map into ( R , d R ) (\mathbb{R},d_{\mathbb{R}}) ( R , d R ) . Let g x : R n → R g_{x}:\mathbb{R}^{n}\to\mathbb{R} g x : R n → R be the integrand of Convolution of a Continuous Function with a Compactly Supported Continuous Kernel for F F F and the same kernel at the same point, that is, g x ( y ) = F ( x − y ) ρ ε ( y ) g_{x}(y)=F(x-y)\rho_{\varepsilon}(y) g x ( y ) = F ( x − y ) ρ ε ( y ) for those y y y with x − y ∈ Ω x-y\in\Omega x − y ∈ Ω and g x ( y ) = 0 g_{x}(y)=0 g x ( y ) = 0 for all other y y y .
Step 4 (g x = h x + ( − f ( x ) ) ρ ε g_{x}=h_{x}+(-f(x))\rho_{\varepsilon} g x = h x + ( − f ( x )) ρ ε pointwise). Let y ∈ R n y\in\mathbb{R}^{n} y ∈ R n .
If x − y ∈ Ω x-y\in\Omega x − y ∈ Ω , then by distributivity in the field R \mathbb{R} R ,
g x ( y ) = ( f ( x − y ) + ( − f ( x ) ) ) ρ ε ( y ) = f ( x − y ) ρ ε ( y ) + ( − f ( x ) ) ρ ε ( y ) = h x ( y ) + ( − f ( x ) ) ρ ε ( y ) . g_{x}(y)=\bigl(f(x-y)+(-f(x))\bigr)\rho_{\varepsilon}(y)=f(x-y)\rho_{\varepsilon}(y)+(-f(x))\rho_{\varepsilon}(y)=h_{x}(y)+(-f(x))\rho_{\varepsilon}(y). g x ( y ) = ( f ( x − y ) + ( − f ( x )) ) ρ ε ( y ) = f ( x − y ) ρ ε ( y ) + ( − f ( x )) ρ ε ( y ) = h x ( y ) + ( − f ( x )) ρ ε ( y ) .
If x − y ∉ Ω x-y\notin\Omega x − y ∈ / Ω , then ε δ < ∥ y ∥ \varepsilon\delta<\lVert y\rVert ε δ < ∥ y ∥ . Indeed, x − ( x − y ) = y x-(x-y)=y x − ( x − y ) = y in the real vector space R n \mathbb{R}^{n} R n , so claim 2 of Elementary Properties of the Euclidean Norm on R n \mathbb{R}^n R n gives d ( x , x − y ) = ∥ x − ( x − y ) ∥ = ∥ y ∥ d(x,x-y)=\lVert x-(x-y)\rVert=\lVert y\rVert d ( x , x − y ) = ∥ x − ( x − y )∥ = ∥ y ∥ ; were ∥ y ∥ ≤ ε δ \lVert y\rVert\le\varepsilon\delta ∥ y ∥ ≤ ε δ , then x − y x-y x − y would lie in B ˉ ( x , ε δ ) ⊆ Ω \bar B(x,\varepsilon\delta)\subseteq\Omega B ˉ ( x , ε δ ) ⊆ Ω , contrary to assumption, and the order on R \mathbb{R} R being total this leaves ε δ < ∥ y ∥ \varepsilon\delta<\lVert y\rVert ε δ < ∥ y ∥ . Hence ρ ε ( y ) = 0 \rho_{\varepsilon}(y)=0 ρ ε ( y ) = 0 , so both sides of the asserted identity are 0 0 0 , using claim 1 of Zero Products and Elementary Identities in a Field .
Step 5 (the difference as an integral). By claim 2 of Linearity and Monotonicity of the Lebesgue Integral , applied to the integrable functions h x h_{x} h x and ρ ε \rho_{\varepsilon} ρ ε with a = 1 a=1 a = 1 and b = − f ( x ) b=-f(x) b = − f ( x ) , the function 1 ⋅ h x + ( − f ( x ) ) ρ ε 1\cdot h_{x}+(-f(x))\rho_{\varepsilon} 1 ⋅ h x + ( − f ( x )) ρ ε is integrable with respect to λ n \lambda_{n} λ n and
∫ R n ( 1 ⋅ h x + ( − f ( x ) ) ρ ε ) d λ n = 1 ⋅ ∫ R n h x d λ n + ( − f ( x ) ) ∫ R n ρ ε d λ n . \int_{\mathbb{R}^{n}}\bigl(1\cdot h_{x}+(-f(x))\rho_{\varepsilon}\bigr)\,d\lambda_{n}=1\cdot\int_{\mathbb{R}^{n}}h_{x}\,d\lambda_{n}+(-f(x))\int_{\mathbb{R}^{n}}\rho_{\varepsilon}\,d\lambda_{n}. ∫ R n ( 1 ⋅ h x + ( − f ( x )) ρ ε ) d λ n = 1 ⋅ ∫ R n h x d λ n + ( − f ( x )) ∫ R n ρ ε d λ n .
By Step 4 the function on the left is g x g_{x} g x , and the right-hand side is ( f ∗ ρ ε ) ( x ) + ( − f ( x ) ) ⋅ 1 = ( f ∗ ρ ε ) ( x ) − f ( x ) (f*\rho_{\varepsilon})(x)+(-f(x))\cdot 1=(f*\rho_{\varepsilon})(x)-f(x) ( f ∗ ρ ε ) ( x ) + ( − f ( x )) ⋅ 1 = ( f ∗ ρ ε ) ( x ) − f ( x ) . Hence
∫ R n g x d λ n = ( f ∗ ρ ε ) ( x ) − f ( x ) . \int_{\mathbb{R}^{n}}g_{x}\,d\lambda_{n}=(f*\rho_{\varepsilon})(x)-f(x). ∫ R n g x d λ n = ( f ∗ ρ ε ) ( x ) − f ( x ) .
Step 6 (the bound). Let z ∈ B ˉ ( x , ε δ ) z\in\bar B(x,\varepsilon\delta) z ∈ B ˉ ( x , ε δ ) . Then z ∈ Ω z\in\Omega z ∈ Ω by Step 2, and d ( x , z ) ≤ ε δ < θ d(x,z)\le\varepsilon\delta<\theta d ( x , z ) ≤ ε δ < θ by Closed Ball in a Metric Space and Step 2, so d ( x , z ) < θ d(x,z)<\theta d ( x , z ) < θ by claim 2 of Elementary Order Arithmetic in an Ordered Field . Since x ∈ K x\in K x ∈ K , Step 2 gives ∣ F ( z ) ∣ = ∣ f ( z ) − f ( x ) ∣ < η ′ |F(z)|=|f(z)-f(x)|<\eta' ∣ F ( z ) ∣ = ∣ f ( z ) − f ( x ) ∣ < η ′ , hence ∣ F ( z ) ∣ ≤ η ′ |F(z)|\le\eta' ∣ F ( z ) ∣ ≤ η ′ .
Thus η ′ \eta' η ′ is a nonnegative real number bounding ∣ F ∣ |F| ∣ F ∣ on B ˉ ( x , ε δ ) \bar B(x,\varepsilon\delta) B ˉ ( x , ε δ ) , and B ˉ ( x , ε δ ) ⊆ Ω \bar B(x,\varepsilon\delta)\subseteq\Omega B ˉ ( x , ε δ ) ⊆ Ω . Claim 2 of The Convolution Integrand is Continuous, Compactly Supported and Integrable , applied to Ω \Omega Ω , to F F F , to the kernel ρ ε \rho_{\varepsilon} ρ ε with radius ε δ \varepsilon\delta ε δ , to the point x x x and to M = η ′ M=\eta' M = η ′ , therefore gives
∣ ∫ R n g x d λ n ∣ ≤ η ′ ∫ R n ∣ ρ ε ∣ d λ n . \Bigl|\int_{\mathbb{R}^{n}}g_{x}\,d\lambda_{n}\Bigr|\le\eta'\int_{\mathbb{R}^{n}}|\rho_{\varepsilon}|\,d\lambda_{n}. ∫ R n g x d λ n ≤ η ′ ∫ R n ∣ ρ ε ∣ d λ n .
For every y y y we have 0 ≤ ρ ε ( y ) 0\le\rho_{\varepsilon}(y) 0 ≤ ρ ε ( y ) , and by claim 1 of Properties of the Absolute Value in an Ordered Field the value ∣ ρ ε ( y ) ∣ |\rho_{\varepsilon}(y)| ∣ ρ ε ( y ) ∣ is ρ ε ( y ) \rho_{\varepsilon}(y) ρ ε ( y ) or − ρ ε ( y ) -\rho_{\varepsilon}(y) − ρ ε ( y ) ; in the second case 0 ≤ − ρ ε ( y ) 0\le-\rho_{\varepsilon}(y) 0 ≤ − ρ ε ( y ) gives ρ ε ( y ) ≤ 0 \rho_{\varepsilon}(y)\le 0 ρ ε ( y ) ≤ 0 by claim 4 of Elementary Order Arithmetic in an Ordered Field and hence ρ ε ( y ) = 0 = ∣ ρ ε ( y ) ∣ \rho_{\varepsilon}(y)=0=|\rho_{\varepsilon}(y)| ρ ε ( y ) = 0 = ∣ ρ ε ( y ) ∣ . So ∣ ρ ε ∣ |\rho_{\varepsilon}| ∣ ρ ε ∣ is the function ρ ε \rho_{\varepsilon} ρ ε , and its integral is 1 1 1 .
Combining with Step 5,
∣ ( f ∗ ρ ε ) ( x ) − f ( x ) ∣ ≤ η ′ ⋅ 1 = η ′ < η , \bigl|(f*\rho_{\varepsilon})(x)-f(x)\bigr|\le\eta'\cdot 1=\eta'<\eta , ( f ∗ ρ ε ) ( x ) − f ( x ) ≤ η ′ ⋅ 1 = η ′ < η ,
so ∣ ( f ∗ ρ ε ) ( x ) − f ( x ) ∣ < η |(f*\rho_{\varepsilon})(x)-f(x)|<\eta ∣ ( f ∗ ρ ε ) ( x ) − f ( x ) ∣ < η by claim 2 of Elementary Order Arithmetic in an Ordered Field . Since x ∈ K x\in K x ∈ K and ε \varepsilon ε with 0 < ε < ε 0 0<\varepsilon<\varepsilon_{0} 0 < ε < ε 0 were arbitrary, claim 2 follows. ■ \blacksquare ■