TheoremBase

Explicit estimates: the norm is nonexpansive, the radial map is Lipschitz with constant two with an explicit inverse, the extreme value theorem bounds the image of a compact set away from the unit sphere, and the extended function vanishes near the sphere.

Proof

Each result cited below is universally quantified over the data in its own statement, and is applied to the data named where it is used. Throughout, the vector operations of Rm\mathbb{R}^{m} and their identities are those of Euclidean Space Rn\mathbb{R}^n is a Real Vector Space, and the claims of Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square are used for the Euclidean norm: claim 2 for dE(x,y)=∥x−y∥d_{E}(x,y)=\lVert x-y\rVert, claim 3 for the vanishing of the norm, claim 5 for ∥λx∥=∣λ∣ ∥x∥\lVert\lambda x\rVert=|\lambda|\,\lVert x\rVert and claim 6 for the triangle inequality.

Claim 1. Let x,y∈Rmx,y\in\mathbb{R}^{m}. From x=(x−y)+yx=(x-y)+y and the triangle inequality, ∥x∥≤∥x−y∥+∥y∥\lVert x\rVert\le\lVert x-y\rVert+\lVert y\rVert, hence ∥x∥−∥y∥≤∥x−y∥\lVert x\rVert-\lVert y\rVert\le\lVert x-y\rVert by claim 3 of Elementary Arithmetic in an Ordered Field. Exchanging xx and yy gives ∥y∥−∥x∥≤∥y−x∥\lVert y\rVert-\lVert x\rVert\le\lVert y-x\rVert, and ∥y−x∥=∥(−1)(x−y)∥=∣−1∣ ∥x−y∥=∥x−y∥\lVert y-x\rVert=\lVert(-1)(x-y)\rVert=|-1|\,\lVert x-y\rVert=\lVert x-y\rVert by homogeneity. By claim 6 of Properties of the Absolute Value in an Ordered Field the two bounds give

∣ ∥x∥−∥y∥ ∣≤∥x−y∥=dE(x,y),\bigl|\,\lVert x\rVert-\lVert y\rVert\,\bigr|\le\lVert x-y\rVert=d_{E}(x,y),

that is, dR(N(x),N(y))≤1⋅dE(x,y)d_{\mathbb{R}}(N(x),N(y))\le 1\cdot d_{E}(x,y). So NN is Lipschitz with constant 11 in the sense of Lipschitz Map Between Metric Spaces; it is uniformly continuous on Rm\mathbb{R}^{m} by A Lipschitz Map is Uniformly Continuous and Continuous, hence continuous on Rm\mathbb{R}^{m} by A Uniformly Continuous Map Between Metric Spaces Is Continuous.

Claim 2. For y∈Rmy\in\mathbb{R}^{m} one has dE(0,y)=∥0−y∥=∥y∥d_{E}(0,y)=\lVert 0-y\rVert=\lVert y\rVert, so Bˉ\bar{B} and UU are exactly the closed ball and the open ball of (Rm,dE)(\mathbb{R}^{m},d_{E}) with centre 00 and radius 11, in the sense of Closed Ball in a Metric Space and Open Ball in a Metric Space. Since ∥0∥=0≤1\lVert 0\rVert=0\le 1, the set Bˉ\bar{B} contains 00 and is nonempty. By claims 2 and 3 of Elementary Properties of the Closed Ball in a Metric Space, Bˉ\bar{B} is bounded in (Rm,dE)(\mathbb{R}^{m},d_{E}) and closed in (Rm,T)(\mathbb{R}^{m},\mathcal{T}); therefore Bˉ\bar{B} is compact in (Rm,T)(\mathbb{R}^{m},\mathcal{T}) by The Heine-Borel Theorem in Rn\mathbb{R}^n, and Compactness of Closed Balls and the Unit Sphere. By claim 2 of The Restriction of a Metric to a Subset Induces the Subspace Topology the subsets of Bˉ\bar{B} open in the metric space (Bˉ,dBˉ)(\bar{B},d_{\bar{B}}) are exactly the members of the subspace topology, so by claim 2 of Compactness in a Subspace Agrees with Compactness in the Ambient Space the metric space (Bˉ,dBˉ)(\bar{B},d_{\bar{B}}) is compact.

By Open Ball in a Metric Space is Open, U∈TU\in\mathcal{T}; by claim 1 of Elementary Properties of the Closed Ball in a Metric Space, U⊆BˉU\subseteq\bar{B}; and U=U∩BˉU=U\cap\bar{B} is open in (Bˉ,dBˉ)(\bar{B},d_{\bar{B}}) by claim 2 of The Restriction of a Metric to a Subset Induces the Subspace Topology.

Claim 3. Write ax=(1+∥x∥)−1a_{x}=(1+\lVert x\rVert)^{-1} for x∈Rmx\in\mathbb{R}^{m}; since 0≤∥x∥0\le\lVert x\rVert we have 1≤1+∥x∥1\le 1+\lVert x\rVert by claim 3 of Elementary Arithmetic in an Ordered Field, and 0<10<1 by claim 6 of Elementary Order Arithmetic in an Ordered Field, so 0<1+∥x∥0<1+\lVert x\rVert by claim 2 of that lemma. Hence axa_{x} is defined and 0<ax0<a_{x} by claim 7 of Elementary Order Arithmetic in an Ordered Field; and claim 5 of Elementary Arithmetic in an Ordered Field, applied to 1≤1+∥x∥1\le 1+\lVert x\rVert with the nonnegative factor axa_{x}, gives ax=ax⋅1≤ax(1+∥x∥)=1a_{x}=a_{x}\cdot 1\le a_{x}(1+\lVert x\rVert)=1. By homogeneity, ∥h(x)∥=ax∥x∥\lVert h(x)\rVert=a_{x}\lVert x\rVert, and from ∥x∥<1+∥x∥\lVert x\rVert<1+\lVert x\rVert we get ax∥x∥<1a_{x}\lVert x\rVert<1 on multiplying by the positive number axa_{x}, using claim 10 of Elementary Order Arithmetic in an Ordered Field. Hence h(x)∈Uh(x)\in U.

Inverse. Let x∈Rmx\in\mathbb{R}^{m}, put y=h(x)y=h(x) and s=∥y∥=ax∥x∥s=\lVert y\rVert=a_{x}\lVert x\rVert. Then

1−s=(1+∥x∥−∥x∥)ax=ax,1-s=\bigl(1+\lVert x\rVert-\lVert x\rVert\bigr)a_{x}=a_{x},

so (1−s)−1=1+∥x∥(1-s)^{-1}=1+\lVert x\rVert and g(y)=(1+∥x∥)axx=xg(y)=(1+\lVert x\rVert)a_{x}x=x. Thus g(h(x))=xg(h(x))=x for every x∈Rmx\in\mathbb{R}^{m}, so hh is injective. Conversely let y∈Uy\in U, put x=g(y)x=g(y) and t=∥x∥=(1−∥y∥)−1∥y∥t=\lVert x\rVert=(1-\lVert y\rVert)^{-1}\lVert y\rVert, the factor (1−∥y∥)−1(1-\lVert y\rVert)^{-1} being positive. Then

1+t=(1−∥y∥+∥y∥)(1−∥y∥)−1=(1−∥y∥)−1,1+t=\bigl(1-\lVert y\rVert+\lVert y\rVert\bigr)(1-\lVert y\rVert)^{-1}=(1-\lVert y\rVert)^{-1},

so ax=1−∥y∥a_{x}=1-\lVert y\rVert and h(x)=(1−∥y∥)(1−∥y∥)−1y=yh(x)=(1-\lVert y\rVert)(1-\lVert y\rVert)^{-1}y=y. Hence hh maps Rm\mathbb{R}^{m} onto UU and gg is its inverse.

hh is Lipschitz with constant 22. Let x,y∈Rmx,y\in\mathbb{R}^{m} and write a=axa=a_{x}, b=ayb=a_{y}. Then h(x)−h(y)=a(x−y)+(a−b)yh(x)-h(y)=a(x-y)+(a-b)y, and

a−b=((1+∥y∥)−(1+∥x∥))ab=ab(∥y∥−∥x∥).a-b=\bigl((1+\lVert y\rVert)-(1+\lVert x\rVert)\bigr)ab=ab\bigl(\lVert y\rVert-\lVert x\rVert\bigr).

Since aa and bb are positive, ∣a−b∣=ab ∣∥y∥−∥x∥∣|a-b|=ab\,\bigl|\lVert y\rVert-\lVert x\rVert\bigr|. Now 0<a≤10<a\le 1, and b∥y∥=∥h(y)∥≤1b\lVert y\rVert=\lVert h(y)\rVert\le 1 by the first paragraph of the present claim; hence, using claim 1,

∣a−b∣ ∥y∥=a (b∥y∥) ∣∥y∥−∥x∥∣≤∣∥x∥−∥y∥∣≤∥x−y∥.|a-b|\,\lVert y\rVert=a\,(b\lVert y\rVert)\,\bigl|\lVert y\rVert-\lVert x\rVert\bigr|\le\bigl|\lVert x\rVert-\lVert y\rVert\bigr|\le\lVert x-y\rVert .

By the triangle inequality and homogeneity, ∥h(x)−h(y)∥≤a∥x−y∥+∣a−b∣ ∥y∥≤2∥x−y∥\lVert h(x)-h(y)\rVert\le a\lVert x-y\rVert+|a-b|\,\lVert y\rVert\le 2\lVert x-y\rVert, that is, dE(h(x),h(y))≤2 dE(x,y)d_{E}(h(x),h(y))\le 2\,d_{E}(x,y). So hh is Lipschitz with constant 22, hence continuous on Rm\mathbb{R}^{m} by A Lipschitz Map is Uniformly Continuous and Continuous and A Uniformly Continuous Map Between Metric Spaces Is Continuous.

gg is continuous on UU. Let y0∈Uy_{0}\in U, put s0=∥y0∥<1s_{0}=\lVert y_{0}\rVert<1, c=2−1(1−s0)>0c=2^{-1}(1-s_{0})>0 and δ0=c\delta_{0}=c. Let y∈Uy\in U satisfy dE(y,y0)<δ0d_{E}(y,y_{0})<\delta_{0}. By claim 1, ∥y∥≤s0+∥y−y0∥<s0+c\lVert y\rVert\le s_{0}+\lVert y-y_{0}\rVert<s_{0}+c, so 1−∥y∥>1−s0−c=c1-\lVert y\rVert>1-s_{0}-c=c and therefore β:=(1−∥y∥)−1<c−1\beta:=(1-\lVert y\rVert)^{-1}<c^{-1}. Put β0=(1−s0)−1\beta_{0}=(1-s_{0})^{-1}. As above,

β−β0=((1−s0)−(1−∥y∥))ββ0=ββ0(∥y∥−s0),\beta-\beta_{0}=\bigl((1-s_{0})-(1-\lVert y\rVert)\bigr)\beta\beta_{0}=\beta\beta_{0}\bigl(\lVert y\rVert-s_{0}\bigr),

so ∣β−β0∣≤c−1β0 ∥y−y0∥|\beta-\beta_{0}|\le c^{-1}\beta_{0}\,\lVert y-y_{0}\rVert by claim 1. Since g(y)−g(y0)=β(y−y0)+(β−β0)y0g(y)-g(y_{0})=\beta(y-y_{0})+(\beta-\beta_{0})y_{0} and ∥y0∥≤1\lVert y_{0}\rVert\le 1, the triangle inequality and homogeneity give

dE(g(y),g(y0))=∥g(y)−g(y0)∥≤L ∥y−y0∥,L=c−1+c−1β0>0.d_{E}(g(y),g(y_{0}))=\lVert g(y)-g(y_{0})\rVert\le L\,\lVert y-y_{0}\rVert,\qquad L=c^{-1}+c^{-1}\beta_{0}>0 .

Given a positive real ε\varepsilon, choose δ\delta to be the least of δ0\delta_{0} and εL−1\varepsilon L^{-1}, which is positive. Every y∈Uy\in U with dU(y,y0)=dE(y,y0)<δd_{U}(y,y_{0})=d_{E}(y,y_{0})<\delta then satisfies dE(g(y),g(y0))≤L∥y−y0∥<L εL−1=εd_{E}(g(y),g(y_{0}))\le L\lVert y-y_{0}\rVert<L\,\varepsilon L^{-1}=\varepsilon. By Continuous Map Between Metric Spaces, gg is continuous at y0y_{0} relative to UU, and as y0∈Uy_{0}\in U was arbitrary, gg is continuous on UU as a map from (U,dU)(U,d_{U}) into (Rm,dE)(\mathbb{R}^{m},d_{E}).

Claim 4. The map NN is continuous on Rm\mathbb{R}^{m} by claim 1, so its restriction to KK is continuous on KK by claim 4 of Semicontinuity and Continuity Under Composition with a Continuous Map. Since KK is nonempty and compact in (Rm,T)(\mathbb{R}^{m},\mathcal{T}), Extreme Value Theorem on a Compact Subset of a Metric Space provides x0∈Kx_{0}\in K with ∥x∥≤∥x0∥\lVert x\rVert\le\lVert x_{0}\rVert for every x∈Kx\in K. Put ρ=∥h(x0)∥\rho=\lVert h(x_{0})\rVert, so that 0≤ρ<10\le\rho<1 by claim 3.

Let x∈Kx\in K and write s=∥x∥s=\lVert x\rVert, t=∥x0∥t=\lVert x_{0}\rVert, so that 0≤s≤t0\le s\le t. Then

(1+t)−1t−(1+s)−1s=(t(1+s)−s(1+t))(1+s)−1(1+t)−1=(t−s)(1+s)−1(1+t)−1≥0,(1+t)^{-1}t-(1+s)^{-1}s=\bigl(t(1+s)-s(1+t)\bigr)(1+s)^{-1}(1+t)^{-1}=(t-s)(1+s)^{-1}(1+t)^{-1}\ge 0 ,

because t−s≥0t-s\ge 0 and the two factors are positive. Hence ∥h(x)∥=(1+s)−1s≤(1+t)−1t=ρ\lVert h(x)\rVert=(1+s)^{-1}s\le(1+t)^{-1}t=\rho.

Claim 5. Since 0≤ρ<10\le\rho<1, we have σ−ρ=2−1(1−ρ)>0\sigma-\rho=2^{-1}(1-\rho)>0 and 1−σ=2−1(1−ρ)>01-\sigma=2^{-1}(1-\rho)>0, so ρ<σ<1\rho<\sigma<1. Put ψ(y)=(σ−ρ)−1(σ−N(y))\psi(y)=(\sigma-\rho)^{-1}(\sigma-N(y)) for y∈Rmy\in\mathbb{R}^{m}. By claim 1 the map NN is continuous on Rm\mathbb{R}^{m}, and by claims 1, 2, 4 and 5 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space the constant maps are continuous and sums and scalar multiples of continuous real-valued maps are continuous; hence ψ\psi is continuous on Rm\mathbb{R}^{m}. By claim 4 of Continuity of the Absolute Value, Maximum and Minimum of Real-Valued Functions on a Metric Space, first max⁡{0,ψ}\max\{0,\psi\} and then χ=min⁡{1,max⁡{0,ψ}}\chi=\min\{1,\max\{0,\psi\}\} are continuous on Rm\mathbb{R}^{m}, the constant maps 00 and 11 being continuous.

By Minimum of Two Elements of a Totally Ordered Set and Elementary Properties of the Minimum of Two Elements, max⁡{0,ψ(y)}≥0\max\{0,\psi(y)\}\ge 0 and χ(y)≤1\chi(y)\le 1, while χ(y)\chi(y) is one of the two numbers 11 and max⁡{0,ψ(y)}\max\{0,\psi(y)\}, both nonnegative; so 0≤χ(y)≤10\le\chi(y)\le 1. If ∥y∥≤ρ\lVert y\rVert\le\rho then σ−∥y∥≥σ−ρ>0\sigma-\lVert y\rVert\ge\sigma-\rho>0, so ψ(y)≥1\psi(y)\ge 1 on multiplying by the positive number (σ−ρ)−1(\sigma-\rho)^{-1}, whence max⁡{0,ψ(y)}=ψ(y)≥1\max\{0,\psi(y)\}=\psi(y)\ge 1 and χ(y)=1\chi(y)=1. If σ≤∥y∥\sigma\le\lVert y\rVert then σ−∥y∥≤0\sigma-\lVert y\rVert\le 0, so ψ(y)≤0\psi(y)\le 0, whence max⁡{0,ψ(y)}=0\max\{0,\psi(y)\}=0 and χ(y)=min⁡{1,0}=0\chi(y)=\min\{1,0\}=0.

Claim 6. Vanishing near the unit sphere. Let y∈Bˉy\in\bar{B} satisfy σ≤∥y∥\sigma\le\lVert y\rVert. If y∈Uy\in U then F(y)=χ(y)f(g(y))=0F(y)=\chi(y)f(g(y))=0 because χ(y)=0\chi(y)=0 by claim 5; if y∉Uy\notin U then F(y)=0F(y)=0 by definition.

Behaviour along hh, and the bound. For x∈Rmx\in\mathbb{R}^{m} we have h(x)∈Uh(x)\in U by claim 3, so F(h(x))=χ(h(x))f(g(h(x)))=χ(h(x))f(x)F(h(x))=\chi(h(x))f(g(h(x)))=\chi(h(x))f(x), again by claim 3. If ∣f(x)∣≤M|f(x)|\le M for every x∈Rmx\in\mathbb{R}^{m}, then M≥0M\ge 0; for y∈Uy\in U, claim 4 of Properties of the Absolute Value in an Ordered Field gives ∣F(y)∣=∣χ(y)∣ ∣f(g(y))∣|F(y)|=|\chi(y)|\,|f(g(y))|; from 0≤χ(y)≤10\le\chi(y)\le 1 by claim 5 of the present lemma, together with −1≤0-1\le 0, which follows from 0<10<1 (claim 6 of Elementary Order Arithmetic in an Ordered Field) by the sign reversal of claim 4 there, claim 6 of Properties of the Absolute Value in an Ordered Field gives ∣χ(y)∣≤1|\chi(y)|\le 1; so claim 5 of Elementary Arithmetic in an Ordered Field, applied to ∣χ(y)∣≤1|\chi(y)|\le 1 with the nonnegative factor ∣f(g(y))∣|f(g(y))|, gives ∣F(y)∣≤∣f(g(y))∣≤M|F(y)|\le|f(g(y))|\le M. For y∈Bˉ∖Uy\in\bar{B}\setminus U, ∣F(y)∣=0≤M|F(y)|=0\le M.

Continuity. Let y0∈Bˉy_{0}\in\bar{B} and let ε\varepsilon be a positive real number.

Suppose first that y0∈Uy_{0}\in U, and put δ1=1−∥y0∥>0\delta_{1}=1-\lVert y_{0}\rVert>0. If y∈Bˉy\in\bar{B} satisfies dE(y,y0)<δ1d_{E}(y,y_{0})<\delta_{1}, then ∥y∥≤∥y0∥+∥y−y0∥<1\lVert y\rVert\le\lVert y_{0}\rVert+\lVert y-y_{0}\rVert<1 by claim 1, so y∈Uy\in U. On UU the map y↦χ(y)f(g(y))y\mapsto\chi(y)f(g(y)) is continuous relative to UU: the map gg is continuous on UU as a map into (Rm,dE)(\mathbb{R}^{m},d_{E}) by claim 3 and ff is continuous on Rm\mathbb{R}^{m}, so f∘gf\circ g is continuous on UU by claim 3 of Semicontinuity and Continuity Under Composition with a Continuous Map; the restriction of χ\chi to UU is continuous on UU by claim 4 of that lemma; and the pointwise product of two maps continuous on UU is continuous on UU by claim 5 of Continuity of Sums and Products of Real-Valued Functions on a Metric Space. Hence there is a positive real δ2\delta_{2} such that every y∈Uy\in U with dE(y,y0)<δ2d_{E}(y,y_{0})<\delta_{2} satisfies ∣χ(y)f(g(y))−χ(y0)f(g(y0))∣<ε|\chi(y)f(g(y))-\chi(y_{0})f(g(y_{0}))|<\varepsilon. Let δ\delta be the least of δ1\delta_{1} and δ2\delta_{2}, which is positive. Every y∈Bˉy\in\bar{B} with dBˉ(y,y0)=dE(y,y0)<δd_{\bar{B}}(y,y_{0})=d_{E}(y,y_{0})<\delta then lies in UU, so F(y)=χ(y)f(g(y))F(y)=\chi(y)f(g(y)) and F(y0)=χ(y0)f(g(y0))F(y_{0})=\chi(y_{0})f(g(y_{0})), and ∣F(y)−F(y0)∣<ε|F(y)-F(y_{0})|<\varepsilon.

Suppose next that y0∈Bˉ∖Uy_{0}\in\bar{B}\setminus U, so that ∥y0∥=1\lVert y_{0}\rVert=1, since ∥y0∥≤1\lVert y_{0}\rVert\le 1 and not ∥y0∥<1\lVert y_{0}\rVert<1. Then F(y0)=0F(y_{0})=0. Put δ=1−σ>0\delta=1-\sigma>0. If y∈Bˉy\in\bar{B} satisfies dBˉ(y,y0)=dE(y,y0)<δd_{\bar{B}}(y,y_{0})=d_{E}(y,y_{0})<\delta, then by claim 1

∥y∥≥∥y0∥−∥y0−y∥>1−(1−σ)=σ,\lVert y\rVert\ge\lVert y_{0}\rVert-\lVert y_{0}-y\rVert>1-(1-\sigma)=\sigma ,

so F(y)=0F(y)=0 by the vanishing established above, and ∣F(y)−F(y0)∣=0<ε|F(y)-F(y_{0})|=0<\varepsilon.

In both cases FF is continuous at y0y_{0} relative to Bˉ\bar{B} in the sense of Continuous Map Between Metric Spaces, read for the metric space (Bˉ,dBˉ)(\bar{B},d_{\bar{B}}); as y0∈Bˉy_{0}\in\bar{B} was arbitrary, FF is continuous on Bˉ\bar{B}.

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