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Proof of Properties of the Norm of a Symmetric Real Matrix

lemmalem:symmetric-matrix-norm-properties-2026a
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Reason: Proof of the properties of the norm of a symmetric real matrix, including the equivalence of a norm bound with a two-sided semidefinite bound.

Proof

For a symmetric real n×nn\times n matrix PP write SP={ξ(Pξ):ξRn, ξ1}S_P=\{|\xi\cdot(P\xi)|:\xi\in\mathbb{R}^n,\ \lVert\xi\rVert\le1\}, so that P\lVert P\rVert is the least upper bound of SPS_P by Norm of a Symmetric Real Matrix. Write 0Rn0_{\mathbb{R}^n} for the origin of Rn\mathbb{R}^n. Record that 0t=00\,t=0 for every tRt\in\mathbb{R}, since 0t=(0+0)t=0t+0t0\,t=(0+0)\,t=0\,t+0\,t by distributivity and claim 2 of Additive Cancellation and Elementary Additive Identities in a Field applies; consequently (1)t=t(-1)\,t=-t by claim 1 of that lemma.

Two computations are used repeatedly. First, for βR\beta\in\mathbb{R} and ξRn\xi\in\mathbb{R}^n, claims 1 and 2 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum, claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n and claim 1 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n give

ξ((βIn)ξ)=β(ξξ)=βξ2,ξ((βP)ξ)=β(ξ(Pξ)).\xi\cdot\bigl((\beta I_n)\xi\bigr)=\beta\,(\xi\cdot\xi)=\beta\,\lVert\xi\rVert^{2},\qquad \xi\cdot\bigl((\beta P)\xi\bigr)=\beta\,\bigl(\xi\cdot(P\xi)\bigr).

Second, for β,γR\beta,\gamma\in\mathbb{R} and ξ,ζRn\xi,\zeta\in\mathbb{R}^n, claim 3 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum and claims 4 and 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n give (βξ)(P(γζ))=βγ(ξ(Pζ))(\beta\xi)\cdot\bigl(P(\gamma\zeta)\bigr)=\beta\,\gamma\,\bigl(\xi\cdot(P\zeta)\bigr).

Claim 1. Since 0Rn=00Rn0_{\mathbb{R}^n}=0\,0_{\mathbb{R}^n} coordinatewise, the second computation gives 0Rn(A0Rn)=00_{\mathbb{R}^n}\cdot(A\,0_{\mathbb{R}^n})=0, and 0=0|0|=0 by claim 1 of Properties of the Absolute Value in an Ordered Field. Moreover 0Rn=0\lVert0_{\mathbb{R}^n}\rVert=0 by claim 3 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and 010\le1 by claim 1 of Elementary Arithmetic in an Ordered Field. Hence 0SA0\in S_A, and since A\lVert A\rVert is an upper bound for SAS_A, 0A0\le\lVert A\rVert.

Claim 2. If ξ=0Rn\xi=0_{\mathbb{R}^n} then, as in claim 1, both sides are 00. Otherwise claim 3 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n gives ξ0\lVert\xi\rVert\ne0 and claim 1 of that lemma gives 0ξ0\le\lVert\xi\rVert, so 0<r0<r where r=ξr=\lVert\xi\rVert; by claim 7 of Elementary Order Arithmetic in an Ordered Field, r1r^{-1} exists and 0<r10<r^{-1}. Put ζ=r1ξ\zeta=r^{-1}\xi. By claim 5 of Elementary Properties of the Euclidean Norm on Rn\mathbb{R}^n and Absolute Value in an Ordered Field, ζ=r1r=r1r=1\lVert\zeta\rVert=|r^{-1}|\,r=r^{-1}r=1, so ζ(Aζ)A|\zeta\cdot(A\zeta)|\le\lVert A\rVert. By the second computation above, ζ(Aζ)=r1r1(ξ(Aξ))\zeta\cdot(A\zeta)=r^{-1}r^{-1}\bigl(\xi\cdot(A\xi)\bigr), hence ξ(Aξ)=r2(ζ(Aζ))\xi\cdot(A\xi)=r^{2}\,\bigl(\zeta\cdot(A\zeta)\bigr) with r2=ξ2r^{2}=\lVert\xi\rVert^{2}. Now 0r20\le r^{2} by claim 5 of Elementary Arithmetic in an Ordered Field, so r2=r2|r^{2}|=r^{2} by Absolute Value in an Ordered Field, and claim 4 of Properties of the Absolute Value in an Ordered Field gives ξ(Aξ)=r2ζ(Aζ)|\xi\cdot(A\xi)|=r^{2}\,|\zeta\cdot(A\zeta)|. Applying claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor r2r^{2} to ζ(Aζ)A|\zeta\cdot(A\zeta)|\le\lVert A\rVert gives ξ(Aξ)Aξ2|\xi\cdot(A\xi)|\le\lVert A\rVert\,\lVert\xi\rVert^{2}.

Claim 3. Suppose 0λ0\le\lambda and both λInA-\lambda I_n\preceq A and AλInA\preceq\lambda I_n hold, and let ξRn\xi\in\mathbb{R}^n with ξ1\lVert\xi\rVert\le1. By the first computation above, together with (λ)ξ2=(λξ2)(-\lambda)\lVert\xi\rVert^{2}=-\bigl(\lambda\lVert\xi\rVert^{2}\bigr), these two relations read

λξ2ξ(Aξ)λξ2.-\lambda\,\lVert\xi\rVert^{2}\le\xi\cdot(A\xi)\le\lambda\,\lVert\xi\rVert^{2}.

Since 0ξ10\le\lVert\xi\rVert\le1, claim 5 of Elementary Arithmetic in an Ordered Field gives ξ2ξ\lVert\xi\rVert^{2}\le\lVert\xi\rVert, hence ξ21\lVert\xi\rVert^{2}\le1 by transitivity, and then λξ2λ\lambda\,\lVert\xi\rVert^{2}\le\lambda; claim 4 of Elementary Order Arithmetic in an Ordered Field gives λλξ2-\lambda\le-\lambda\,\lVert\xi\rVert^{2}. So λξ(Aξ)λ-\lambda\le\xi\cdot(A\xi)\le\lambda, and claim 6 of Properties of the Absolute Value in an Ordered Field gives ξ(Aξ)λ|\xi\cdot(A\xi)|\le\lambda. Thus λ\lambda is an upper bound for SAS_A, and Aλ\lVert A\rVert\le\lambda because A\lVert A\rVert is the least upper bound.

Conversely suppose 0λ0\le\lambda and Aλ\lVert A\rVert\le\lambda, and let ξRn\xi\in\mathbb{R}^n be arbitrary. Since 0ξ20\le\lVert\xi\rVert^{2}, claim 5 of Elementary Arithmetic in an Ordered Field and claim 2 above give

ξ(Aξ)Aξ2λξ2,|\xi\cdot(A\xi)|\le\lVert A\rVert\,\lVert\xi\rVert^{2}\le\lambda\,\lVert\xi\rVert^{2},

so λξ2ξ(Aξ)λξ2-\lambda\,\lVert\xi\rVert^{2}\le\xi\cdot(A\xi)\le\lambda\,\lVert\xi\rVert^{2} by claim 6 of Properties of the Absolute Value in an Ordered Field. By the first computation above this says ξ((λIn)ξ)ξ(Aξ)ξ((λIn)ξ)\xi\cdot\bigl((-\lambda I_n)\xi\bigr)\le\xi\cdot(A\xi)\le\xi\cdot\bigl((\lambda I_n)\xi\bigr); since ξ\xi was arbitrary, λInA-\lambda I_n\preceq A and AλInA\preceq\lambda I_n by The Positive Semidefinite Ordering on Symmetric Matrices. The final assertion of claim 3 is this equivalence applied with λ=A\lambda=\lVert A\rVert, which is nonnegative by claim 1.

Claim 4. If A=0nA=0_n, then A=0InA=0\,I_n by Scalar Multiple of a Real Matrix and Identity Matrix, so the first computation gives ξ(Aξ)=0ξ2=0\xi\cdot(A\xi)=0\,\lVert\xi\rVert^{2}=0 for every ξ\xi; hence SA={0}S_A=\{0\} and A=0\lVert A\rVert=0. Conversely, if A=0\lVert A\rVert=0, then claim 3 with λ=0\lambda=0 gives 0InA-0\,I_n\preceq A and A0InA\preceq0\,I_n, that is 0nA0_n\preceq A and A0nA\preceq0_n, using 0=0-0=0 from claim 4 of Additive Cancellation and Elementary Additive Identities in a Field. Claim 6 of The Positive Semidefinite Ordering is a Partial Order Compatible with the Linear Structure then gives A=0nA=0_n.

Claim 5. Let PP be symmetric, let νR\nu\in\mathbb{R}, and let ξRn\xi\in\mathbb{R}^n with ξ1\lVert\xi\rVert\le1. By the first computation and claim 4 of Properties of the Absolute Value in an Ordered Field, ξ((νP)ξ)=νξ(Pξ)|\xi\cdot((\nu P)\xi)|=|\nu|\,|\xi\cdot(P\xi)|, and claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor ν|\nu| gives ξ((νP)ξ)νP|\xi\cdot((\nu P)\xi)|\le|\nu|\,\lVert P\rVert. Hence νP|\nu|\,\lVert P\rVert is an upper bound for SνPS_{\nu P}, and

νPνP.()\lVert\nu P\rVert\le|\nu|\,\lVert P\rVert . \tag{$\dagger$}

If μ=0\mu=0, then μA=0n\mu A=0_n and both sides of the asserted equality are 00, by claim 4 and 0=0|0|=0. If μ0\mu\ne0, then μ1\mu^{-1} exists, μ1(μA)=A\mu^{-1}(\mu A)=A entrywise, and μμ1=μμ1=1=1|\mu|\,|\mu^{-1}|=|\mu\,\mu^{-1}|=|1|=1 by claim 4 of Properties of the Absolute Value in an Ordered Field, so μ1=μ1|\mu^{-1}|=|\mu|^{-1}. Applying ()(\dagger) with ν=μ1\nu=\mu^{-1} and P=μAP=\mu A,

A=μ1(μA)μ1μA,\lVert A\rVert=\lVert\mu^{-1}(\mu A)\rVert\le|\mu|^{-1}\,\lVert\mu A\rVert ,

and multiplying by μ|\mu|, nonnegative by claim 1 of Properties of the Absolute Value in an Ordered Field, using claim 5 of Elementary Arithmetic in an Ordered Field, gives μAμA|\mu|\,\lVert A\rVert\le\lVert\mu A\rVert. Together with ()(\dagger) for ν=μ\nu=\mu, P=AP=A, and antisymmetry of the total order \le, this gives μA=μA\lVert\mu A\rVert=|\mu|\,\lVert A\rVert.

For the triangle inequality, let ξRn\xi\in\mathbb{R}^n with ξ1\lVert\xi\rVert\le1. By claim 1 of Linearity of the Matrix-Vector Product and the Quadratic Form as a Double Sum, claim 5 of Bilinearity and Symmetry of the Dot Product on Rn\mathbb{R}^n and claim 5 of Properties of the Absolute Value in an Ordered Field,

ξ((A+B)ξ)=ξ(Aξ)+ξ(Bξ)ξ(Aξ)+ξ(Bξ)A+B,\bigl|\xi\cdot\bigl((A+B)\xi\bigr)\bigr|=\bigl|\xi\cdot(A\xi)+\xi\cdot(B\xi)\bigr|\le|\xi\cdot(A\xi)|+|\xi\cdot(B\xi)|\le\lVert A\rVert+\lVert B\rVert ,

the last step adding the two defining bounds by claims 2 and 3 of Elementary Arithmetic in an Ordered Field. Hence A+B\lVert A\rVert+\lVert B\rVert is an upper bound for SA+BS_{A+B}, and A+BA+B\lVert A+B\rVert\le\lVert A\rVert+\lVert B\rVert.

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