TheoremBase

Openness follows from the norm identity for concatenation; the sum rule from adding the two second-order estimates at concatenated increments; and the splitting from testing the estimate for the sum first at increments in one factor only and then at general increments, which forces the off-diagonal block to vanish.

Proof

Throughout we use the notation of the statement. We use repeatedly claim 3 of Concatenation Identifies a Product of Euclidean Spaces with a Euclidean Space, which gives

ι(a1,a2)⋅ι(b1,b2)=a1⋅b1+a2⋅b2,∥ι(b1,b2)∥2=∥b1∥2+∥b2∥2,\iota(a_{1},a_{2})\cdot\iota(b_{1},b_{2})=a_{1}\cdot b_{1}+a_{2}\cdot b_{2},\qquad \lVert\iota(b_{1},b_{2})\rVert^{2}=\lVert b_{1}\rVert^{2}+\lVert b_{2}\rVert^{2},

and claim 2 of that lemma, which gives ι(a1,a2)+ι(b1,b2)=ι(a1+b1,a2+b2)\iota(a_{1},a_{2})+\iota(b_{1},b_{2})=\iota(a_{1}+b_{1},a_{2}+b_{2}) and the corresponding identities for differences and scalar multiples. In particular, if h=ι(h1,h2)h=\iota(h_{1},h_{2}) then ∥h1∥2≤∥h∥2\lVert h_{1}\rVert^{2}\le\lVert h\rVert^{2} and ∥h2∥2≤∥h∥2\lVert h_{2}\rVert^{2}\le\lVert h\rVert^{2}, since the omitted summand is nonnegative, and hence ∥h1∥≤∥h∥\lVert h_{1}\rVert\le\lVert h\rVert and ∥h2∥≤∥h∥\lVert h_{2}\rVert\le\lVert h\rVert by claim 2 of Monotonicity of Squaring on the Nonnegative Elements of an Ordered Field.

Claim 1. Let x∈Ux\in U and write x=ι(ξ,η)x=\iota(\xi,\eta) with ξ∈U1\xi\in U_{1} and η∈U2\eta\in U_{2}. Since U1U_{1} and U2U_{2} are open there are positive ρ1,ρ2\rho_{1},\rho_{2} with {ξ′:dE(ξ′,ξ)<ρ1}⊆U1\{\xi':d_{E}(\xi',\xi)<\rho_{1}\}\subseteq U_{1} and {η′:dE(η′,η)<ρ2}⊆U2\{\eta':d_{E}(\eta',\eta)<\rho_{2}\}\subseteq U_{2}; let ρ\rho be the smaller of the two, which is positive. Let x′∈RNx'\in\mathbb{R}^{N} with dE(x′,x)<ρd_{E}(x',x)<\rho and write x′=ι(ξ′,η′)x'=\iota(\xi',\eta'), which is possible in exactly one way since ι\iota is a bijection. By claim 2 of Properties of the Euclidean Norm on Rn\mathbb{R}^n: Square, Distance, Vanishing, Coordinate Bounds, Homogeneity, Triangle Inequalities and Expansion of a Square and the identities above, dE(x′,x)=∥x′−x∥=∥ι(ξ′−ξ,η′−η)∥d_{E}(x',x)=\lVert x'-x\rVert=\lVert\iota(\xi'-\xi,\eta'-\eta)\rVert, so ∥ξ′−ξ∥≤∥x′−x∥\lVert\xi'-\xi\rVert\le\lVert x'-x\rVert and ∥η′−η∥≤∥x′−x∥\lVert\eta'-\eta\rVert\le\lVert x'-x\rVert. Hence dE(ξ′,ξ)<ρ1d_{E}(\xi',\xi)<\rho_{1} and dE(η′,η)<ρ2d_{E}(\eta',\eta)<\rho_{2}, so ξ′∈U1\xi'\in U_{1}, η′∈U2\eta'\in U_{2} and x′∈Ux'\in U. Thus UU is open.

Claim 2. Let ε∈R\varepsilon\in\mathbb{R} be positive. By Twice Differentiability at a Point (i) there are positive δ1,δ2\delta_{1},\delta_{2} such that ∥h1∥<δ1\lVert h_{1}\rVert<\delta_{1} implies ξ0+h1∈U1\xi_{0}+h_{1}\in U_{1} and

∣v1(ξ0+h1)−v1(ξ0)−p1⋅h1−12h1⋅(X1h1)∣≤ε∥h1∥2,\Bigl|v_{1}(\xi_{0}+h_{1})-v_{1}(\xi_{0})-p_{1}\cdot h_{1}-\tfrac{1}{2}h_{1}\cdot(X_{1}h_{1})\Bigr|\le\varepsilon\lVert h_{1}\rVert^{2},

and ∥h2∥<δ2\lVert h_{2}\rVert<\delta_{2} implies η0+h2∈U2\eta_{0}+h_{2}\in U_{2} and the corresponding estimate for v2v_{2}. Let δ\delta be the smaller of δ1,δ2\delta_{1},\delta_{2}. Let h∈RNh\in\mathbb{R}^{N} with ∥h∥<δ\lVert h\rVert<\delta and write h=ι(h1,h2)h=\iota(h_{1},h_{2}); then ∥h1∥<δ1\lVert h_{1}\rVert<\delta_{1} and ∥h2∥<δ2\lVert h_{2}\rVert<\delta_{2} by the remark above, so ξ0+h1∈U1\xi_{0}+h_{1}\in U_{1} and η0+h2∈U2\eta_{0}+h_{2}\in U_{2}, whence x0+h=ι(ξ0+h1,η0+h2)∈Ux_{0}+h=\iota(\xi_{0}+h_{1},\eta_{0}+h_{2})\in U and

w(x0+h)−w(x0)=(v1(ξ0+h1)−v1(ξ0))+(v2(η0+h2)−v2(η0)).w(x_{0}+h)-w(x_{0})=\bigl(v_{1}(\xi_{0}+h_{1})-v_{1}(\xi_{0})\bigr)+\bigl(v_{2}(\eta_{0}+h_{2})-v_{2}(\eta_{0})\bigr).

Moreover ι(p1,p2)⋅h=p1⋅h1+p2⋅h2\iota(p_{1},p_{2})\cdot h=p_{1}\cdot h_{1}+p_{2}\cdot h_{2} and, by Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (ii), h⋅((X1⊕X2)h)=h1⋅(X1h1)+h2⋅(X2h2)h\cdot\bigl((X_{1}\oplus X_{2})h\bigr)=h_{1}\cdot(X_{1}h_{1})+h_{2}\cdot(X_{2}h_{2}). Therefore the quantity

w(x0+h)−w(x0)−ι(p1,p2)⋅h−12h⋅((X1⊕X2)h)w(x_{0}+h)-w(x_{0})-\iota(p_{1},p_{2})\cdot h-\tfrac{1}{2}h\cdot\bigl((X_{1}\oplus X_{2})h\bigr)

is the sum of the two quantities estimated above, so by claim 5 of Properties of the Absolute Value in an Ordered Field its absolute value is at most ε∥h1∥2+ε∥h2∥2=ε∥h∥2\varepsilon\lVert h_{1}\rVert^{2}+\varepsilon\lVert h_{2}\rVert^{2}=\varepsilon\lVert h\rVert^{2}. Since X1⊕X2∈S(N)X_{1}\oplus X_{2}\in\mathcal{S}(N) by Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (i), this is the assertion.

Claim 3. Let ε∈R\varepsilon\in\mathbb{R} be positive and let δ\delta be positive with the property that every h∈RNh\in\mathbb{R}^{N} with ∥h∥<δ\lVert h\rVert<\delta satisfies x0+h∈Ux_{0}+h\in U and

∣w(x0+h)−w(x0)−p⋅h−12h⋅(Zh)∣≤ε∥h∥2.(∗)\Bigl|w(x_{0}+h)-w(x_{0})-p\cdot h-\tfrac{1}{2}h\cdot(Zh)\Bigr|\le\varepsilon\lVert h\rVert^{2}. \tag{$\ast$}

First let h1∈Rmh_{1}\in\mathbb{R}^{m} with ∥h1∥<δ\lVert h_{1}\rVert<\delta and put h=ι(h1,0Rn)h=\iota(h_{1},0_{\mathbb{R}^{n}}), so that ∥h∥2=∥h1∥2\lVert h\rVert^{2}=\lVert h_{1}\rVert^{2} and hence ∥h∥=∥h1∥<δ\lVert h\rVert=\lVert h_{1}\rVert<\delta. Then x0+h=ι(ξ0+h1,η0)x_{0}+h=\iota(\xi_{0}+h_{1},\eta_{0}) lies in UU; since ι\iota is injective and every element of UU is ι(ξ,η)\iota(\xi,\eta) with ξ∈U1\xi\in U_{1} and η∈U2\eta\in U_{2}, this forces ξ0+h1∈U1\xi_{0}+h_{1}\in U_{1}. Furthermore w(x0+h)−w(x0)=v1(ξ0+h1)−v1(ξ0)w(x_{0}+h)-w(x_{0})=v_{1}(\xi_{0}+h_{1})-v_{1}(\xi_{0}), and p⋅h=ι(p1,p2)⋅ι(h1,0Rn)=p1⋅h1p\cdot h=\iota(p_{1},p_{2})\cdot\iota(h_{1},0_{\mathbb{R}^{n}})=p_{1}\cdot h_{1}, while the displayed quadratic form identity of Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (v) gives

h⋅(Zh)=h1⋅(Z11h1)+2 h1⋅(Z120Rn)+0Rn⋅(Z220Rn)=h1⋅(Z11h1),h\cdot(Zh)=h_{1}\cdot(Z^{11}h_{1})+2\,h_{1}\cdot(Z^{12}0_{\mathbb{R}^{n}})+0_{\mathbb{R}^{n}}\cdot(Z^{22}0_{\mathbb{R}^{n}})=h_{1}\cdot(Z^{11}h_{1}),

the last two terms vanishing because Z120RnZ^{12}0_{\mathbb{R}^{n}} and Z220RnZ^{22}0_{\mathbb{R}^{n}} are origins by claim 1 of Linearity, Compatibility with the Matrix Product, and a Norm Bound for the Matrix-Vector Product, and because the dot product of any point with an origin is 00: an origin equals 0⋅ζ0\cdot\zeta by Euclidean Space Rn\mathbb{R}^n is a Real Vector Space, so claim 5 of The Dot Product on Rn\mathbb{R}^n Is Symmetric, Bilinear and Positive Definite gives w⋅(0⋅ζ)=0 (w⋅ζ)=0w\cdot(0\cdot\zeta)=0\,(w\cdot\zeta)=0. So (∗)(\ast) reads

∣v1(ξ0+h1)−v1(ξ0)−p1⋅h1−12h1⋅(Z11h1)∣≤ε∥h1∥2.\Bigl|v_{1}(\xi_{0}+h_{1})-v_{1}(\xi_{0})-p_{1}\cdot h_{1}-\tfrac{1}{2}h_{1}\cdot(Z^{11}h_{1})\Bigr|\le\varepsilon\lVert h_{1}\rVert^{2}.

As ε\varepsilon was arbitrary and Z11∈S(m)Z^{11}\in\mathcal{S}(m) by Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (v), the function v1v_{1} is twice differentiable at ξ0\xi_{0} with first-order coefficient p1p_{1} and Hessian Z11Z^{11}. The same argument with h=ι(0Rm,h2)h=\iota(0_{\mathbb{R}^{m}},h_{2}) shows that v2v_{2} is twice differentiable at η0\eta_{0} with first-order coefficient p2p_{2} and Hessian Z22Z^{22}.

Next we show that every entry of Z12Z^{12} is 00. Fix h1∈Rmh_{1}\in\mathbb{R}^{m} and h2∈Rnh_{2}\in\mathbb{R}^{n} and put g=ι(h1,h2)g=\iota(h_{1},h_{2}) and A=h1⋅(Z12h2)A=h_{1}\cdot(Z^{12}h_{2}). Let ε\varepsilon be positive, let δ\delta be as in (∗)(\ast) for this ε\varepsilon, and let δ1,δ2\delta_{1},\delta_{2} be positive numbers witnessing, for the same ε\varepsilon, the twice differentiability of v1v_{1} at ξ0\xi_{0} and of v2v_{2} at η0\eta_{0} just established. Let τ\tau be the smallest of δ\delta, δ1\delta_{1} and δ2\delta_{2}, which is positive, and put Λ=1+∥g∥\Lambda=1+\lVert g\rVert, which is positive and satisfies ∥g∥≤Λ\lVert g\rVert\le\Lambda, ∥h1∥≤Λ\lVert h_{1}\rVert\le\Lambda and ∥h2∥≤Λ\lVert h_{2}\rVert\le\Lambda by the remark at the start of this proof. By claim 3 of The Archimedean Property of the Real Numbers there is a positive σ\sigma with σ<τ Λ−1\sigma<\tau\,\Lambda^{-1}, and then σΛ<τ\sigma\Lambda<\tau, so that σ∥g∥<δ\sigma\lVert g\rVert<\delta, σ∥h1∥<δ1\sigma\lVert h_{1}\rVert<\delta_{1} and σ∥h2∥<δ2\sigma\lVert h_{2}\rVert<\delta_{2}. Put h=σg=ι(σh1,σh2)h=\sigma g=\iota(\sigma h_{1},\sigma h_{2}). Subtracting the two estimates for v1v_{1} at increment σh1\sigma h_{1} and for v2v_{2} at increment σh2\sigma h_{2} from (∗)(\ast) at increment hh, and using

w(x0+h)−w(x0)=(v1(ξ0+σh1)−v1(ξ0))+(v2(η0+σh2)−v2(η0)),w(x_{0}+h)-w(x_{0})=\bigl(v_{1}(\xi_{0}+\sigma h_{1})-v_{1}(\xi_{0})\bigr)+\bigl(v_{2}(\eta_{0}+\sigma h_{2})-v_{2}(\eta_{0})\bigr),

p⋅h=p1⋅(σh1)+p2⋅(σh2)p\cdot h=p_{1}\cdot(\sigma h_{1})+p_{2}\cdot(\sigma h_{2}) and, by Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (v),

h⋅(Zh)=(σh1)⋅(Z11σh1)+2(σh1)⋅(Z12σh2)+(σh2)⋅(Z22σh2),h\cdot(Zh)=(\sigma h_{1})\cdot(Z^{11}\sigma h_{1})+2(\sigma h_{1})\cdot(Z^{12}\sigma h_{2})+(\sigma h_{2})\cdot(Z^{22}\sigma h_{2}),

we obtain, by claim 5 of Properties of the Absolute Value in an Ordered Field,

∣σ2A∣≤ε∥h∥2+ε∥σh1∥2+ε∥σh2∥2=2εσ2∥g∥2,\bigl|\sigma^{2}A\bigr|\le\varepsilon\lVert h\rVert^{2}+\varepsilon\lVert\sigma h_{1}\rVert^{2}+\varepsilon\lVert\sigma h_{2}\rVert^{2}=2\varepsilon\sigma^{2}\lVert g\rVert^{2},

using ∥h∥2=σ2∥g∥2\lVert h\rVert^{2}=\sigma^{2}\lVert g\rVert^{2} and ∥σh1∥2+∥σh2∥2=σ2∥g∥2\lVert\sigma h_{1}\rVert^{2}+\lVert\sigma h_{2}\rVert^{2}=\sigma^{2}\lVert g\rVert^{2}. Dividing by the positive number σ2\sigma^{2} gives ∣A∣≤2ε∥g∥2|A|\le2\varepsilon\lVert g\rVert^{2}. This holds for every positive ε\varepsilon, with AA and ∥g∥\lVert g\rVert fixed; if ∥g∥2=0\lVert g\rVert^{2}=0 then ∣A∣≤0|A|\le0 and A=0A=0 at once, while if ∥g∥2\lVert g\rVert^{2} is positive and ∣A∣|A| were positive, then claim 3 of The Archimedean Property of the Real Numbers would supply a positive ε\varepsilon with ε<∣A∣ (2∥g∥2)−1\varepsilon<|A|\,\bigl(2\lVert g\rVert^{2}\bigr)^{-1}, hence with 2ε∥g∥2<∣A∣2\varepsilon\lVert g\rVert^{2}<|A|, contradicting the bound just proved. Hence A=0A=0; that is,

h1⋅(Z12h2)=0for all h1∈Rm, h2∈Rn.h_{1}\cdot(Z^{12}h_{2})=0\qquad\text{for all }h_{1}\in\mathbb{R}^{m},\ h_{2}\in\mathbb{R}^{n}.

Take h1=eih_{1}=e_{i}, the iith standard basis vector of Rm\mathbb{R}^{m}, and h2=ejh_{2}=e_{j}, the jjth standard basis vector of Rn\mathbb{R}^{n}. By Matrix-Vector Product the iith coordinate of Z12ejZ^{12}e_{j} is ∑l=1n(Z12)il(ej)l=(Z12)ij\sum_{l=1}^{n}(Z^{12})_{il}(e_{j})_{l}=(Z^{12})_{ij}, by claim 7 of Properties of Finite Sums; and the iith coordinate of a point zz equals z⋅eiz\cdot e_{i} by Orthonormal Families, Standard Basis Vectors, and Plane Rotations of Euclidean Space, so (Z12)ij=ei⋅(Z12ej)=0(Z^{12})_{ij}=e_{i}\cdot(Z^{12}e_{j})=0. Thus every entry of Z12Z^{12} is 00, and Z=Z11⊕Z22Z=Z^{11}\oplus Z^{22} by Block Diagonal Symmetric Matrices and the Blocks of a Symmetric Matrix (v).

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