TheoremBase

The metric axioms come from the norm properties; convergence and the Cauchy property are compared coordinatewise through the bounds |x_k| <= ||x|| <= n max |x_j|, with a maximum of finitely many least indices; completeness, the Lipschitz bounds and the limit laws then follow from the corresponding facts for real sequences.

Proof

Each result cited is universally quantified over the data in its own statement.

The rules of arithmetic and order in the ordered field R\mathbb{R}, carried by Commutative Rings, Fields and Ordered Fields: Standard Notation §ordered-fields, are used without further citation. For u,v∈Rnu,v\in\mathbb{R}^{n} and t∈Rt\in\mathbb{R}, u+vu+v, u−vu-v, −u-u and tutu lie in Rn\mathbb{R}^{n} and have the components given by Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations §operations; elements of Rn\mathbb{R}^{n} with the same components are equal by Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations §equality, and the origin 00 has all components 00 by Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations §origin and Pointwise Operations on Real-Valued Maps §constants. By The Euclidean Distance on Rn\mathbb{R}^n §distance, dE(u,v)=∥u−v∥d_{E}(u,v)=\lVert u-v\rVert. By Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces §real-line, The Distance on the Real Numbers §distance and The Distance on the Real Numbers Is a Map with Values the Absolute Differences §map, dRd_{\mathbb{R}} is a metric on R\mathbb{R} with dR(a,b)=∣a−b∣d_{\mathbb{R}}(a,b)=|a-b|.

Coordinate bounds. For u,v∈Rnu,v\in\mathbb{R}^{n}, k∈[n]k\in[n] and s∈Rs\in\mathbb{R}, applying Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §coordinate to u−vu-v, whose components are uj−vju_{j}-v_{j}, gives

∣uk−vk∣≤dE(u,v),anddE(u,v)≤n s  if ∣uj−vj∣≤s for every j∈[n].(B)|u_{k}-v_{k}|\le d_{E}(u,v),\qquad\text{and}\qquad d_{E}(u,v)\le n\,s\ \text{ if }|u_{j}-v_{j}|\le s\text{ for every }j\in[n].\tag{B}

Clause metric. By The Euclidean Distance on Rn\mathbb{R}^n §distance and The Summation Map on Real-Valued Maps over a Finite Set, and the Dot Product, Euclidean Norm and Euclidean Distance as Maps §distance, dEd_{E} is a map Rn×Rn→R\mathbb{R}^{n}\times\mathbb{R}^{n}\to\mathbb{R}. Let x,y,z∈Rnx,y,z\in\mathbb{R}^{n}. Nonnegative: dE(x,y)=∥x−y∥≥0d_{E}(x,y)=\lVert x-y\rVert\ge0 by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §square. Zero: by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §vanishing, dE(x,y)=0d_{E}(x,y)=0 if and only if x−y=0x-y=0; comparing components, this holds if and only if xk−yk=0x_{k}-y_{k}=0, that is xk=ykx_{k}=y_{k}, for every k∈[n]k\in[n], that is, if and only if x=yx=y. Symmetric: y−x=−(x−y)y-x=-(x-y), since yk−xk=−(xk−yk)y_{k}-x_{k}=-(x_{k}-y_{k}) for every k∈[n]k\in[n]; so dE(y,x)=∥−(x−y)∥=∥x−y∥=dE(x,y)d_{E}(y,x)=\lVert-(x-y)\rVert=\lVert x-y\rVert=d_{E}(x,y) by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §homogeneity. Triangle: x−z=(x−y)+(y−z)x-z=(x-y)+(y-z), since xk−zk=(xk−yk)+(yk−zk)x_{k}-z_{k}=(x_{k}-y_{k})+(y_{k}-z_{k}) for every k∈[n]k\in[n]; so dE(x,z)≤∥x−y∥+∥y−z∥=dE(x,y)+dE(y,z)d_{E}(x,z)\le\lVert x-y\rVert+\lVert y-z\rVert=d_{E}(x,y)+d_{E}(y,z) by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §triangle. Hence dEd_{E} is a metric on Rn\mathbb{R}^{n} in the sense of Metric Space §metric, and (Rn,dE)(\mathbb{R}^{n},d_{E}) is a metric space by Metric Space §metric-space.

For a sequence (x(m))(x^{(m)}) in Rn\mathbb{R}^{n}, that is a map N→Rn\mathbb{N}\to\mathbb{R}^{n} by Sequences §sequence, and k∈[n]k\in[n], the coordinate sequence m↦xk(m)m\mapsto x^{(m)}_{k} is a map N→R\mathbb{N}\to\mathbb{R} by Sets and Maps: Ordinary Notation §maps, its condition being predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution, hence a sequence in R\mathbb{R}.

A finite maximum. We use the following twice. Let, for each k∈[n]k\in[n], Sk={N′∈N:Pk(N′)}S_{k}=\{N'\in\mathbb{N}:P_{k}(N')\} be a nonempty subset of N\mathbb{N}, formed by Sets and Maps: Ordinary Notation §set-builder, where Pk(N′)P_{k}(N') is a property expressed by a formula in kk and N′N'. The order of N0\mathbb{N}_{0} is a well-order by The Natural Numbers and the Natural Numbers with Zero: Arithmetic, Order, Induction and Recursion §order, hence a total order by Well-Orders on a Set §well-order, and SkS_{k} has a least element; it is unique by Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order §least, so Nk=min⁡SkN_{k}=\min S_{k} is defined, and k↦Nkk\mapsto N_{k} is a map [n]→N[n]\to\mathbb{N} by Sets and Maps: Ordinary Notation §maps. No choice is involved: each NkN_{k} is the least element of a definite set. The interval [n]={1,…,n}[n]=\{1,\dots,n\} (Intervals of Natural Numbers §segment) is finite by Images of Finite Sets Are Finite, Bounded Sets of Natural Numbers Are Finite, and Nonempty Finite Totally Ordered Sets Have Extreme Elements §naturals, so its image T={Nk:k∈[n]}T=\{N_{k}:k\in[n]\} is finite by Images of Finite Sets Are Finite, Bounded Sets of Natural Numbers Are Finite, and Nonempty Finite Totally Ordered Sets Have Extreme Elements §image; TT is nonempty because 1∈[n]1\in[n] (as 1≤n1\le n by The Natural Numbers and the Natural Numbers with Zero: Arithmetic, Order, Induction and Recursion §order), and T⊆N⊆N0T\subseteq\mathbb{N}\subseteq\mathbb{N}_{0}. By Images of Finite Sets Are Finite, Bounded Sets of Natural Numbers Are Finite, and Nonempty Finite Totally Ordered Sets Have Extreme Elements §extremes, TT has a greatest element N=max⁡TN=\max T, unique by Bounds, Least and Greatest Elements, Suprema and Infima for a Partial Order §least; then N∈NN\in\mathbb{N} and Nk≤NN_{k}\le N for every k∈[n]k\in[n].

Also n≥1n\ge1 in N0\mathbb{N}_{0}, hence n≥1>0n\ge1>0 in R\mathbb{R} by The Real Numbers, with the Natural Numbers, Integers and Rationals Identified with Subsets of the Reals, and Completeness §agreement, where n∈Rn\in\mathbb{R} by Closure Facts in an Ordered Field: Negatives, Differences, Quotients, Absolute Values, Powers, Natural Numbers, Halves and Minima §naturals. For a real number ε>0\varepsilon>0 put δ=ε/(2n)\delta=\varepsilon/(2n); then δ>0\delta>0 and n δ=ε/2<εn\,\delta=\varepsilon/2<\varepsilon. Indeed, 2=1+12=1+1 in R\mathbb{R} by Commutative Rings, Fields and Ordered Fields: Standard Notation §numerals and Closure Facts in an Ordered Field: Negatives, Differences, Quotients, Absolute Values, Powers, Natural Numbers, Halves and Minima §two, and 0<1+10<1+1 by Rules of Arithmetic and Order in an Ordered Field §midpoint, so 2n>02n>0 since 2>02>0 and n>0n>0; hence (2n)−1>0(2n)^{-1}>0 by Rules of Arithmetic and Order in an Ordered Field §positive-reciprocal, and δ=ε (2n)−1>0\delta=\varepsilon\,(2n)^{-1}>0, where (2n)−1(2n)^{-1} and δ\delta lie in R\mathbb{R} by Closure Facts in an Ordered Field: Negatives, Differences, Quotients, Absolute Values, Powers, Natural Numbers, Halves and Minima §quotient, as 2n≠02n\neq0. Moreover n δ=ε/2=(0+ε)/(1+1)n\,\delta=\varepsilon/2=(0+\varepsilon)/(1+1), with ε/2∈R\varepsilon/2\in\mathbb{R} by Closure Facts in an Ordered Field: Negatives, Differences, Quotients, Absolute Values, Powers, Natural Numbers, Halves and Minima §halves, and 0<ε/2<ε0<\varepsilon/2<\varepsilon by Rules of Arithmetic and Order in an Ordered Field §midpoint with x=0x=0 and y=εy=\varepsilon.

Clause coordinatewise. Let (x(m))(x^{(m)}) be a sequence in Rn\mathbb{R}^{n} and x∈Rnx\in\mathbb{R}^{n}.

Suppose (x(m))(x^{(m)}) converges to xx in (Rn,dE)(\mathbb{R}^{n},d_{E}), and let k∈[n]k\in[n] and ε>0\varepsilon>0. By Convergent Sequence in a Metric Space §converges there is N∈NN\in\mathbb{N} with dE(x(m),x)<εd_{E}(x^{(m)},x)<\varepsilon for every m≥Nm\ge N; for these mm, dR(xk(m),xk)=∣xk(m)−xk∣≤dE(x(m),x)<εd_{\mathbb{R}}(x^{(m)}_{k},x_{k})=|x^{(m)}_{k}-x_{k}|\le d_{E}(x^{(m)},x)<\varepsilon by (B). So (xk(m))(x^{(m)}_{k}) converges to xkx_{k} in (R,dR)(\mathbb{R},d_{\mathbb{R}}) by Convergent Sequence in a Metric Space §converges.

Conversely suppose (xk(m))(x^{(m)}_{k}) converges to xkx_{k} in (R,dR)(\mathbb{R},d_{\mathbb{R}}) for every k∈[n]k\in[n]. Let ε>0\varepsilon>0; first fix δ=ε/(2n)\delta=\varepsilon/(2n) as above. For k∈[n]k\in[n] let SkS_{k} be the set of N′∈NN'\in\mathbb{N} such that ∣xk(m)−xk∣<δ|x^{(m)}_{k}-x_{k}|<\delta for every m∈Nm\in\mathbb{N} with m≥N′m\ge N', a condition that is predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution and Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §distance-formula; it is nonempty by Convergent Sequence in a Metric Space §converges applied with δ\delta to the kk-th coordinate sequence. Next let Nk=min⁡SkN_{k}=\min S_{k} and N=max⁡{Nk:k∈[n]}N=\max\{N_{k}:k\in[n]\} as in the paragraph on a finite maximum. For m≥Nm\ge N and k∈[n]k\in[n] we have m≥Nkm\ge N_{k}, so ∣xk(m)−xk∣<δ|x^{(m)}_{k}-x_{k}|<\delta; by (B) with s=δs=\delta, dE(x(m),x)≤n δ<εd_{E}(x^{(m)},x)\le n\,\delta<\varepsilon. Hence (x(m))(x^{(m)}) converges to xx in (Rn,dE)(\mathbb{R}^{n},d_{E}) by Convergent Sequence in a Metric Space §converges.

Clause cauchy. Let (x(m))(x^{(m)}) be a sequence in Rn\mathbb{R}^{n}.

Suppose it is Cauchy in (Rn,dE)(\mathbb{R}^{n},d_{E}), and let k∈[n]k\in[n] and ε>0\varepsilon>0. By Cauchy Sequence in a Metric Space §cauchy there is N∈NN\in\mathbb{N} with dE(x(m),x(ℓ))<εd_{E}(x^{(m)},x^{(\ell)})<\varepsilon for all m,ℓ≥Nm,\ell\ge N, and then dR(xk(m),xk(ℓ))=∣xk(m)−xk(ℓ)∣<εd_{\mathbb{R}}(x^{(m)}_{k},x^{(\ell)}_{k})=|x^{(m)}_{k}-x^{(\ell)}_{k}|<\varepsilon by (B). So (xk(m))(x^{(m)}_{k}) is Cauchy in (R,dR)(\mathbb{R},d_{\mathbb{R}}).

Conversely suppose (xk(m))(x^{(m)}_{k}) is Cauchy in (R,dR)(\mathbb{R},d_{\mathbb{R}}) for every k∈[n]k\in[n]. Let ε>0\varepsilon>0; first fix δ=ε/(2n)\delta=\varepsilon/(2n). For k∈[n]k\in[n] let SkS_{k} be the set of N′∈NN'\in\mathbb{N} such that ∣xk(m)−xk(ℓ)∣<δ|x^{(m)}_{k}-x^{(\ell)}_{k}|<\delta for all m,ℓ∈Nm,\ell\in\mathbb{N} with m≥N′m\ge N' and ℓ≥N′\ell\ge N', a condition that is predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution and Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §distance-formula; it is nonempty by Cauchy Sequence in a Metric Space §cauchy. Next let Nk=min⁡SkN_{k}=\min S_{k} and N=max⁡{Nk:k∈[n]}N=\max\{N_{k}:k\in[n]\} as above. For m,ℓ≥Nm,\ell\ge N and every k∈[n]k\in[n], m,ℓ≥Nkm,\ell\ge N_{k}, so ∣xk(m)−xk(ℓ)∣<δ|x^{(m)}_{k}-x^{(\ell)}_{k}|<\delta, and by (B) dE(x(m),x(ℓ))≤n δ<εd_{E}(x^{(m)},x^{(\ell)})\le n\,\delta<\varepsilon. Hence (x(m))(x^{(m)}) is Cauchy in (Rn,dE)(\mathbb{R}^{n},d_{E}) by Cauchy Sequence in a Metric Space §cauchy.

Clause complete. Let (x(m))(x^{(m)}) be a Cauchy sequence in (Rn,dE)(\mathbb{R}^{n},d_{E}). By the clause cauchy, for every k∈[n]k\in[n] the sequence (xk(m))(x^{(m)}_{k}) is Cauchy in (R,dR)(\mathbb{R},d_{\mathbb{R}}), which is complete by Metric Spaces: Balls, the Metric Topology, and the Real and Complex Numbers as Metric Spaces §real-line; so it is convergent in (R,dR)(\mathbb{R},d_{\mathbb{R}}) by Complete Metric Space §complete, and it has the limit lim⁡m→∞xk(m)\lim_{m\to\infty}x^{(m)}_{k}, which exists and is unique by The Limit of a Convergent Sequence in a Metric Space §limit. Since lim⁡m→∞xk(m)∈R\lim_{m\to\infty}x^{(m)}_{k}\in\mathbb{R} for every k∈[n]k\in[n], the map L:[n]→RL:[n]\to\mathbb{R}, k↦lim⁡m→∞xk(m)k\mapsto\lim_{m\to\infty}x^{(m)}_{k}, exists and is unique by Sets and Maps: Ordinary Notation §maps; L∈RnL\in\mathbb{R}^{n} by Euclidean Space Rn\mathbb{R}^n: n-Tuples of Real Numbers with Their Componentwise Operations §membership, with Lk=lim⁡m→∞xk(m)L_{k}=\lim_{m\to\infty}x^{(m)}_{k}. By The Limit of a Convergent Sequence in a Metric Space §converges-to-limit, (xk(m))(x^{(m)}_{k}) converges to LkL_{k} in (R,dR)(\mathbb{R},d_{\mathbb{R}}) for every k∈[n]k\in[n], so (x(m))(x^{(m)}) converges to LL in (Rn,dE)(\mathbb{R}^{n},d_{E}) by the clause coordinatewise, and is convergent by Convergent Sequence in a Metric Space §convergent. Hence (Rn,dE)(\mathbb{R}^{n},d_{E}) is complete by Complete Metric Space §complete.

Clause lipschitz. Let k∈[n]k\in[n]. Since xk∈Rx_{k}\in\mathbb{R} and ∥x∥∈R\lVert x\rVert\in\mathbb{R} for x∈Rnx\in\mathbb{R}^{n}, the maps x↦xkx\mapsto x_{k} and x↦∥x∥x\mapsto\lVert x\rVert from Rn\mathbb{R}^{n} to R\mathbb{R} exist by Sets and Maps: Ordinary Notation §maps (the condition z=xkz=x_{k} being predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution) and by The Summation Map on Real-Valued Maps over a Finite Set, and the Dot Product, Euclidean Norm and Euclidean Distance as Maps §norm respectively. For x,x′∈Rnx,x'\in\mathbb{R}^{n}, by (B),

dR(xk,xk′)=∣xk−xk′∣≤1⋅dE(x,x′),d_{\mathbb{R}}(x_{k},x'_{k})=|x_{k}-x'_{k}|\le1\cdot d_{E}(x,x'),

and by Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square §reverse-triangle,

dR(∥x∥,∥x′∥)=∣∥x∥−∥x′∥∣≤∥x−x′∥=1⋅dE(x,x′).d_{\mathbb{R}}(\lVert x\rVert,\lVert x'\rVert)=\bigl|\lVert x\rVert-\lVert x'\rVert\bigr|\le\lVert x-x'\rVert=1\cdot d_{E}(x,x').

As 1≥01\ge0, both maps are Lipschitz with constant 11 by Lipschitz Map Between Metric Spaces §lipschitz.

Clause limit-laws. Assume the hypotheses. By Sets and Maps: Ordinary Notation §maps, the defining conditions being predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution and Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §operation-substitution (the dot product being a value of the map of The Summation Map on Real-Valued Maps over a Finite Set, and the Dot Product, Euclidean Norm and Euclidean Distance as Maps §dot-product), m↦x(m)+y(m)m\mapsto x^{(m)}+y^{(m)} and m↦tmx(m)m\mapsto t_{m}x^{(m)} are sequences in Rn\mathbb{R}^{n} and m↦x(m)⋅y(m)m\mapsto x^{(m)}\cdot y^{(m)} is a sequence in R\mathbb{R}. Let k∈[n]k\in[n]. By the clause coordinatewise, (xk(m))(x^{(m)}_{k}) and (yk(m))(y^{(m)}_{k}) converge to xkx_{k} and yky_{k} in (R,dR)(\mathbb{R},d_{\mathbb{R}}); by Convergence, Limits and the Cauchy Condition for Real Sequences Agree with Those in the Real Line as a Metric Space, which is Complete §converges, they, and (tm)(t_{m}), converge to xkx_{k}, yky_{k} and tt in the sense of Convergent Sequences of Real Numbers §converges. By Limits of Sequences of Real Numbers: Uniqueness, Boundedness, Constants, Tails, Arithmetic, Quotients, Absolute Values, Finite Sums, Order, Squeezing, Domination and Subsequences §arithmetic (sums and products),

(x(m)+y(m))k=xk(m)+yk(m)→xk+yk=(x+y)k,(tmx(m))k=tm xk(m)→t xk=(tx)k,(x^{(m)}+y^{(m)})_{k}=x^{(m)}_{k}+y^{(m)}_{k}\to x_{k}+y_{k}=(x+y)_{k},\qquad (t_{m}x^{(m)})_{k}=t_{m}\,x^{(m)}_{k}\to t\,x_{k}=(tx)_{k},

and xk(m)yk(m)→xkykx^{(m)}_{k}y^{(m)}_{k}\to x_{k}y_{k}, in the sense of Convergent Sequences of Real Numbers §converges; by Convergence, Limits and the Cauchy Condition for Real Sequences Agree with Those in the Real Line as a Metric Space, which is Complete §converges the first two convergences hold in (R,dR)(\mathbb{R},d_{\mathbb{R}}). As this holds for every k∈[n]k\in[n], the clause coordinatewise gives that (x(m)+y(m))(x^{(m)}+y^{(m)}) converges to x+yx+y and (tmx(m))(t_{m}x^{(m)}) converges to txtx in (Rn,dE)(\mathbb{R}^{n},d_{E}).

For the dot product, the maps e:[n]×N→Re:[n]\times\mathbb{N}\to\mathbb{R}, (k,m)↦xk(m)yk(m)(k,m)\mapsto x^{(m)}_{k}y^{(m)}_{k}, and D:[n]→RD:[n]\to\mathbb{R}, k↦xkykk\mapsto x_{k}y_{k}, exist by Sets and Maps: Ordinary Notation §maps, their conditions being predicative by Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §value-substitution and Predicative Substitution of Values of Functions and Binary Operations, and Predicative Formulas for Negatives, Differences, Absolute Values, Distances, Reciprocals and Quotients in an Ordered Field §operation-substitution, and (e(k,m))m∈N(e(k,m))_{m\in\mathbb{N}} converges to DkD_{k} for every kk in the finite set [n][n] (finite by Images of Finite Sets Are Finite, Bounded Sets of Natural Numbers Are Finite, and Nonempty Finite Totally Ordered Sets Have Extreme Elements §naturals), as just shown. By Limits of Sequences of Real Numbers: Uniqueness, Boundedness, Constants, Tails, Arithmetic, Quotients, Absolute Values, Finite Sums, Order, Squeezing, Domination and Subsequences §finite-sums, (∑k∈[n]e(k,m))m∈N\bigl(\sum_{k\in[n]}e(k,m)\bigr)_{m\in\mathbb{N}} converges to ∑k∈[n]Dk\sum_{k\in[n]}D_{k}. Since [n]={1,…,n}[n]=\{1,\dots,n\}, these sums are ∑k=1nxk(m)yk(m)=x(m)⋅y(m)\sum_{k=1}^{n}x^{(m)}_{k}y^{(m)}_{k}=x^{(m)}\cdot y^{(m)} and ∑k=1nxkyk=x⋅y\sum_{k=1}^{n}x_{k}y_{k}=x\cdot y, by Sums and Products over a Finite Set and over an Interval §intervals and The Dot Product on Rn\mathbb{R}^n §dot-product. So (x(m)⋅y(m))(x^{(m)}\cdot y^{(m)}) converges to x⋅yx\cdot y, and by Convergence, Limits and the Cauchy Condition for Real Sequences Agree with Those in the Real Line as a Metric Space, which is Complete §converges it does so in (R,dR)(\mathbb{R},d_{\mathbb{R}}).

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