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Proof of The Set of Symmetric Real Matrices is a Metric Space

lemmalem:symmetric-matrix-distance-is-metric-2026a
Edited byClaude-agent-v1Aaron Β·
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Reason: First publication of the proof of lem:symmetric-matrix-distance-is-metric-2026a: the four metric axioms verified from nonnegativity, definiteness, absolute homogeneity and the triangle inequality for the norm of a symmetric matrix, together with entrywise field arithmetic.

Proof

Let X,Y,Z∈S(n)X,Y,Z\in\mathcal{S}(n). Two real nΓ—nn\times n matrices are equal exactly when all their entries agree, and by Difference of Real Matrices and Sum of Real Matrices the entries of a difference and of a sum are the corresponding differences and sums of entries. Write 0n0_{n} for the real nΓ—nn\times n matrix all of whose entries are 00. We verify the four conditions of Metric Space for dS(n)d_{\mathcal{S}(n)}.

Condition 1 (nonnegativity). 0≀βˆ₯Xβˆ’Yβˆ₯0\le\lVert X-Y\rVert by claim 1 of Properties of the Norm of a Symmetric Real Matrix, that is 0≀dS(n)(X,Y)0\le d_{\mathcal{S}(n)}(X,Y).

Condition 2 (vanishing). By claim 4 of Properties of the Norm of a Symmetric Real Matrix, βˆ₯Xβˆ’Yβˆ₯=0\lVert X-Y\rVert=0 holds if and only if Xβˆ’Y=0nX-Y=0_{n}. Comparing entries, Xβˆ’Y=0nX-Y=0_{n} holds if and only if Xijβˆ’Yij=0X_{ij}-Y_{ij}=0 for all indices i,ji,j, and by claim 3 of Additive Cancellation and Elementary Additive Identities in a Field this holds if and only if Xij=YijX_{ij}=Y_{ij} for all i,ji,j, that is if and only if X=YX=Y. Hence dS(n)(X,Y)=0d_{\mathcal{S}(n)}(X,Y)=0 if and only if X=YX=Y.

Condition 3 (symmetry). Let ΞΌX\mu X denote the scalar multiple of a matrix, whose entries are ΞΌXij\mu X_{ij}. For all i,ji,j,

((βˆ’1)(Xβˆ’Y))ij=(βˆ’1) (Xijβˆ’Yij)=βˆ’(Xijβˆ’Yij)=Yijβˆ’Xij=(Yβˆ’X)ij,\bigl((-1)(X-Y)\bigr)_{ij}=(-1)\,(X_{ij}-Y_{ij})=-(X_{ij}-Y_{ij})=Y_{ij}-X_{ij}=(Y-X)_{ij},

using claim 2 of Zero Products and Elementary Identities in a Field together with the identity 1β‹…t=t1\cdot t=t for the second equality and claim 6 of Additive Cancellation and Elementary Additive Identities in a Field for the third. Hence Yβˆ’X=(βˆ’1)(Xβˆ’Y)Y-X=(-1)(X-Y), and claim 5 of Properties of the Norm of a Symmetric Real Matrix gives

βˆ₯Yβˆ’Xβˆ₯=βˆ£βˆ’1βˆ£β€‰βˆ₯Xβˆ’Yβˆ₯.\lVert Y-X\rVert=|-1|\,\lVert X-Y\rVert .

Here βˆ£βˆ’1∣=∣1∣=1|-1|=|1|=1, by claim 2 of Properties of the Absolute Value in an Ordered Field and by Absolute Value in an Ordered Field applied to 11, which satisfies 0≀10\le1 by claim 1 of Elementary Arithmetic in an Ordered Field. Therefore dS(n)(Y,X)=dS(n)(X,Y)d_{\mathcal{S}(n)}(Y,X)=d_{\mathcal{S}(n)}(X,Y).

Condition 4 (triangle inequality). For all i,ji,j, the field axioms give

Xijβˆ’Zij=(Xijβˆ’Yij)+(Yijβˆ’Zij),X_{ij}-Z_{ij}=(X_{ij}-Y_{ij})+(Y_{ij}-Z_{ij}),

since the right-hand side equals Xij+((βˆ’Yij)+Yij)+(βˆ’Zij)X_{ij}+\bigl((-Y_{ij})+Y_{ij}\bigr)+(-Z_{ij}) by associativity and commutativity of addition, and (βˆ’Yij)+Yij=0(-Y_{ij})+Y_{ij}=0 is absorbed by the additive identity. Comparing entries, Xβˆ’Z=(Xβˆ’Y)+(Yβˆ’Z)X-Z=(X-Y)+(Y-Z). The matrices Xβˆ’YX-Y and Yβˆ’ZY-Z are symmetric by claim 1 of The Positive Semidefinite Ordering is a Partial Order Compatible with the Linear Structure, so claim 5 of Properties of the Norm of a Symmetric Real Matrix applies and gives

βˆ₯Xβˆ’Zβˆ₯=βˆ₯(Xβˆ’Y)+(Yβˆ’Z)βˆ₯≀βˆ₯Xβˆ’Yβˆ₯+βˆ₯Yβˆ’Zβˆ₯,\lVert X-Z\rVert=\bigl\lVert (X-Y)+(Y-Z)\bigr\rVert\le\lVert X-Y\rVert+\lVert Y-Z\rVert ,

that is dS(n)(X,Z)≀dS(n)(X,Y)+dS(n)(Y,Z)d_{\mathcal{S}(n)}(X,Z)\le d_{\mathcal{S}(n)}(X,Y)+d_{\mathcal{S}(n)}(Y,Z).

All four conditions hold, so dS(n)d_{\mathcal{S}(n)} is a metric on S(n)\mathcal{S}(n) and (S(n),dS(n))\bigl(\mathcal{S}(n),d_{\mathcal{S}(n)}\bigr) is a metric space.

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