For a symmetric real n × n n\times n n × n matrix P P P write S P = { ∣ ξ ⋅ ( P ξ ) ∣ : ξ ∈ R n , ∥ ξ ∥ ≤ 1 } S_P=\{|\xi\cdot(P\xi)|:\xi\in\mathbb{R}^n,\ \lVert\xi\rVert\le1\} S P = { ∣ ξ ⋅ ( P ξ ) ∣ : ξ ∈ R n , ∥ ξ ∥ ≤ 1 } , so that ∥ P ∥ \lVert P\rVert ∥ P ∥ is the least upper bound of S P S_P S P by Norm of a Symmetric Real Matrix . Write 0 R n 0_{\mathbb{R}^n} 0 R n for the origin of R n \mathbb{R}^n R n . Record that 0 t = 0 0\,t=0 0 t = 0 for every t ∈ R t\in\mathbb{R} t ∈ R , since 0 t = ( 0 + 0 ) t = 0 t + 0 t 0\,t=(0+0)\,t=0\,t+0\,t 0 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 ( − 1 ) t = − t by claim 1 of that lemma.
Two computations are used repeatedly. First, for β ∈ R \beta\in\mathbb{R} β ∈ R and ξ ∈ R n \xi\in\mathbb{R}^n ξ ∈ 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 R n \mathbb{R}^n R n and claim 1 of Elementary Properties of the Euclidean Norm on R n \mathbb{R}^n R n give
ξ ⋅ ( ( β I n ) ξ ) = β ( ξ ⋅ ξ ) = β ∥ ξ ∥ 2 , ξ ⋅ ( ( β P ) ξ ) = β ( ξ ⋅ ( P ξ ) ) . \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). ξ ⋅ ( ( β I n ) ξ ) = β ( ξ ⋅ ξ ) = β ∥ ξ ∥ 2 , ξ ⋅ ( ( βP ) ξ ) = β ( ξ ⋅ ( P ξ ) ) .
Second, for β , γ ∈ R \beta,\gamma\in\mathbb{R} β , γ ∈ R and ξ , ζ ∈ R n \xi,\zeta\in\mathbb{R}^n ξ , ζ ∈ 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 R n \mathbb{R}^n R n give ( β ξ ) ⋅ ( P ( γ ζ ) ) = β γ ( ξ ⋅ ( P ζ ) ) (\beta\xi)\cdot\bigl(P(\gamma\zeta)\bigr)=\beta\,\gamma\,\bigl(\xi\cdot(P\zeta)\bigr) ( β ξ ) ⋅ ( P ( γ ζ ) ) = β γ ( ξ ⋅ ( Pζ ) ) .
Claim 1. Since 0 R n = 0 0 R n 0_{\mathbb{R}^n}=0\,0_{\mathbb{R}^n} 0 R n = 0 0 R n coordinatewise, the second computation gives 0 R n ⋅ ( A 0 R n ) = 0 0_{\mathbb{R}^n}\cdot(A\,0_{\mathbb{R}^n})=0 0 R n ⋅ ( A 0 R n ) = 0 , and ∣ 0 ∣ = 0 |0|=0 ∣0∣ = 0 by claim 1 of Properties of the Absolute Value in an Ordered Field . Moreover ∥ 0 R n ∥ = 0 \lVert0_{\mathbb{R}^n}\rVert=0 ∥ 0 R n ∥ = 0 by claim 3 of Elementary Properties of the Euclidean Norm on R n \mathbb{R}^n R n and 0 ≤ 1 0\le1 0 ≤ 1 by claim 1 of Elementary Arithmetic in an Ordered Field . Hence 0 ∈ S A 0\in S_A 0 ∈ S A , and since ∥ A ∥ \lVert A\rVert ∥ A ∥ is an upper bound for S A S_A S A , 0 ≤ ∥ A ∥ 0\le\lVert A\rVert 0 ≤ ∥ A ∥ .
Claim 2. If ξ = 0 R n \xi=0_{\mathbb{R}^n} ξ = 0 R n then, as in claim 1, both sides are 0 0 0 . Otherwise claim 3 of Elementary Properties of the Euclidean Norm on R n \mathbb{R}^n R n gives ∥ ξ ∥ ≠ 0 \lVert\xi\rVert\ne0 ∥ ξ ∥ = 0 and claim 1 of that lemma gives 0 ≤ ∥ ξ ∥ 0\le\lVert\xi\rVert 0 ≤ ∥ ξ ∥ , so 0 < r 0<r 0 < r where r = ∥ ξ ∥ r=\lVert\xi\rVert r = ∥ ξ ∥ ; by claim 7 of Elementary Order Arithmetic in an Ordered Field , r − 1 r^{-1} r − 1 exists and 0 < r − 1 0<r^{-1} 0 < r − 1 . Put ζ = r − 1 ξ \zeta=r^{-1}\xi ζ = r − 1 ξ . By claim 5 of Elementary Properties of the Euclidean Norm on R n \mathbb{R}^n R n and Absolute Value in an Ordered Field , ∥ ζ ∥ = ∣ r − 1 ∣ r = r − 1 r = 1 \lVert\zeta\rVert=|r^{-1}|\,r=r^{-1}r=1 ∥ ζ ∥ = ∣ r − 1 ∣ r = r − 1 r = 1 , so ∣ ζ ⋅ ( A ζ ) ∣ ≤ ∥ A ∥ |\zeta\cdot(A\zeta)|\le\lVert A\rVert ∣ ζ ⋅ ( A ζ ) ∣ ≤ ∥ A ∥ . By the second computation above, ζ ⋅ ( A ζ ) = r − 1 r − 1 ( ξ ⋅ ( A ξ ) ) \zeta\cdot(A\zeta)=r^{-1}r^{-1}\bigl(\xi\cdot(A\xi)\bigr) ζ ⋅ ( A ζ ) = r − 1 r − 1 ( ξ ⋅ ( A ξ ) ) , hence ξ ⋅ ( A ξ ) = r 2 ( ζ ⋅ ( A ζ ) ) \xi\cdot(A\xi)=r^{2}\,\bigl(\zeta\cdot(A\zeta)\bigr) ξ ⋅ ( A ξ ) = r 2 ( ζ ⋅ ( A ζ ) ) with r 2 = ∥ ξ ∥ 2 r^{2}=\lVert\xi\rVert^{2} r 2 = ∥ ξ ∥ 2 . Now 0 ≤ r 2 0\le r^{2} 0 ≤ r 2 by claim 5 of Elementary Arithmetic in an Ordered Field , so ∣ r 2 ∣ = r 2 |r^{2}|=r^{2} ∣ 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 ⋅ ( A ξ ) ∣ = r 2 ∣ ζ ⋅ ( A ζ ) ∣ |\xi\cdot(A\xi)|=r^{2}\,|\zeta\cdot(A\zeta)| ∣ ξ ⋅ ( A ξ ) ∣ = r 2 ∣ ζ ⋅ ( A ζ ) ∣ . Applying claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor r 2 r^{2} r 2 to ∣ ζ ⋅ ( A ζ ) ∣ ≤ ∥ A ∥ |\zeta\cdot(A\zeta)|\le\lVert A\rVert ∣ ζ ⋅ ( A ζ ) ∣ ≤ ∥ A ∥ gives ∣ ξ ⋅ ( A ξ ) ∣ ≤ ∥ A ∥ ∥ ξ ∥ 2 |\xi\cdot(A\xi)|\le\lVert A\rVert\,\lVert\xi\rVert^{2} ∣ ξ ⋅ ( A ξ ) ∣ ≤ ∥ A ∥ ∥ ξ ∥ 2 .
Claim 3. Suppose 0 ≤ λ 0\le\lambda 0 ≤ λ and both − λ I n ⪯ A -\lambda I_n\preceq A − λ I n ⪯ A and A ⪯ λ I n A\preceq\lambda I_n A ⪯ λ I n hold, and let ξ ∈ R n \xi\in\mathbb{R}^n ξ ∈ R n with ∥ ξ ∥ ≤ 1 \lVert\xi\rVert\le1 ∥ ξ ∥ ≤ 1 . By the first computation above, together with ( − λ ) ∥ ξ ∥ 2 = − ( λ ∥ ξ ∥ 2 ) (-\lambda)\lVert\xi\rVert^{2}=-\bigl(\lambda\lVert\xi\rVert^{2}\bigr) ( − λ ) ∥ ξ ∥ 2 = − ( λ ∥ ξ ∥ 2 ) , these two relations read
− λ ∥ ξ ∥ 2 ≤ ξ ⋅ ( A ξ ) ≤ λ ∥ ξ ∥ 2 . -\lambda\,\lVert\xi\rVert^{2}\le\xi\cdot(A\xi)\le\lambda\,\lVert\xi\rVert^{2}. − λ ∥ ξ ∥ 2 ≤ ξ ⋅ ( A ξ ) ≤ λ ∥ ξ ∥ 2 .
Since 0 ≤ ∥ ξ ∥ ≤ 1 0\le\lVert\xi\rVert\le1 0 ≤ ∥ ξ ∥ ≤ 1 , claim 5 of Elementary Arithmetic in an Ordered Field gives ∥ ξ ∥ 2 ≤ ∥ ξ ∥ \lVert\xi\rVert^{2}\le\lVert\xi\rVert ∥ ξ ∥ 2 ≤ ∥ ξ ∥ , hence ∥ ξ ∥ 2 ≤ 1 \lVert\xi\rVert^{2}\le1 ∥ ξ ∥ 2 ≤ 1 by transitivity, and then λ ∥ ξ ∥ 2 ≤ λ \lambda\,\lVert\xi\rVert^{2}\le\lambda λ ∥ ξ ∥ 2 ≤ λ ; claim 4 of Elementary Order Arithmetic in an Ordered Field gives − λ ≤ − λ ∥ ξ ∥ 2 -\lambda\le-\lambda\,\lVert\xi\rVert^{2} − λ ≤ − λ ∥ ξ ∥ 2 . So − λ ≤ ξ ⋅ ( A ξ ) ≤ λ -\lambda\le\xi\cdot(A\xi)\le\lambda − λ ≤ ξ ⋅ ( A ξ ) ≤ λ , and claim 6 of Properties of the Absolute Value in an Ordered Field gives ∣ ξ ⋅ ( A ξ ) ∣ ≤ λ |\xi\cdot(A\xi)|\le\lambda ∣ ξ ⋅ ( A ξ ) ∣ ≤ λ . Thus λ \lambda λ is an upper bound for S A S_A S A , and ∥ A ∥ ≤ λ \lVert A\rVert\le\lambda ∥ A ∥ ≤ λ because ∥ A ∥ \lVert A\rVert ∥ A ∥ is the least upper bound.
Conversely suppose 0 ≤ λ 0\le\lambda 0 ≤ λ and ∥ A ∥ ≤ λ \lVert A\rVert\le\lambda ∥ A ∥ ≤ λ , and let ξ ∈ R n \xi\in\mathbb{R}^n ξ ∈ R n be arbitrary. Since 0 ≤ ∥ ξ ∥ 2 0\le\lVert\xi\rVert^{2} 0 ≤ ∥ ξ ∥ 2 , claim 5 of Elementary Arithmetic in an Ordered Field and claim 2 above give
∣ ξ ⋅ ( A ξ ) ∣ ≤ ∥ A ∥ ∥ ξ ∥ 2 ≤ λ ∥ ξ ∥ 2 , |\xi\cdot(A\xi)|\le\lVert A\rVert\,\lVert\xi\rVert^{2}\le\lambda\,\lVert\xi\rVert^{2}, ∣ ξ ⋅ ( A ξ ) ∣ ≤ ∥ A ∥ ∥ ξ ∥ 2 ≤ λ ∥ ξ ∥ 2 ,
so − λ ∥ ξ ∥ 2 ≤ ξ ⋅ ( A ξ ) ≤ λ ∥ ξ ∥ 2 -\lambda\,\lVert\xi\rVert^{2}\le\xi\cdot(A\xi)\le\lambda\,\lVert\xi\rVert^{2} − λ ∥ ξ ∥ 2 ≤ ξ ⋅ ( A ξ ) ≤ λ ∥ ξ ∥ 2 by claim 6 of Properties of the Absolute Value in an Ordered Field . By the first computation above this says ξ ⋅ ( ( − λ I n ) ξ ) ≤ ξ ⋅ ( A ξ ) ≤ ξ ⋅ ( ( λ I n ) ξ ) \xi\cdot\bigl((-\lambda I_n)\xi\bigr)\le\xi\cdot(A\xi)\le\xi\cdot\bigl((\lambda I_n)\xi\bigr) ξ ⋅ ( ( − λ I n ) ξ ) ≤ ξ ⋅ ( A ξ ) ≤ ξ ⋅ ( ( λ I n ) ξ ) ; since ξ \xi ξ was arbitrary, − λ I n ⪯ A -\lambda I_n\preceq A − λ I n ⪯ A and A ⪯ λ I n A\preceq\lambda I_n A ⪯ λ 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 λ = ∥ A ∥ , which is nonnegative by claim 1.
Claim 4. If A = 0 n A=0_n A = 0 n , then A = 0 I n A=0\,I_n A = 0 I n by Scalar Multiple of a Real Matrix and Identity Matrix , so the first computation gives ξ ⋅ ( A ξ ) = 0 ∥ ξ ∥ 2 = 0 \xi\cdot(A\xi)=0\,\lVert\xi\rVert^{2}=0 ξ ⋅ ( A ξ ) = 0 ∥ ξ ∥ 2 = 0 for every ξ \xi ξ ; hence S A = { 0 } S_A=\{0\} S A = { 0 } and ∥ A ∥ = 0 \lVert A\rVert=0 ∥ A ∥ = 0 . Conversely, if ∥ A ∥ = 0 \lVert A\rVert=0 ∥ A ∥ = 0 , then claim 3 with λ = 0 \lambda=0 λ = 0 gives − 0 I n ⪯ A -0\,I_n\preceq A − 0 I n ⪯ A and A ⪯ 0 I n A\preceq0\,I_n A ⪯ 0 I n , that is 0 n ⪯ A 0_n\preceq A 0 n ⪯ A and A ⪯ 0 n A\preceq0_n A ⪯ 0 n , using − 0 = 0 -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 = 0 n A=0_n A = 0 n .
Claim 5. Let P P P be symmetric, let ν ∈ R \nu\in\mathbb{R} ν ∈ R , and let ξ ∈ R n \xi\in\mathbb{R}^n ξ ∈ R n with ∥ ξ ∥ ≤ 1 \lVert\xi\rVert\le1 ∥ ξ ∥ ≤ 1 . By the first computation and claim 4 of Properties of the Absolute Value in an Ordered Field , ∣ ξ ⋅ ( ( ν P ) ξ ) ∣ = ∣ ν ∣ ∣ ξ ⋅ ( P ξ ) ∣ |\xi\cdot((\nu P)\xi)|=|\nu|\,|\xi\cdot(P\xi)| ∣ ξ ⋅ (( ν P ) ξ ) ∣ = ∣ ν ∣ ∣ ξ ⋅ ( P ξ ) ∣ , and claim 5 of Elementary Arithmetic in an Ordered Field with the nonnegative factor ∣ ν ∣ |\nu| ∣ ν ∣ gives ∣ ξ ⋅ ( ( ν P ) ξ ) ∣ ≤ ∣ ν ∣ ∥ P ∥ |\xi\cdot((\nu P)\xi)|\le|\nu|\,\lVert P\rVert ∣ ξ ⋅ (( ν P ) ξ ) ∣ ≤ ∣ ν ∣ ∥ P ∥ . Hence ∣ ν ∣ ∥ P ∥ |\nu|\,\lVert P\rVert ∣ ν ∣ ∥ P ∥ is an upper bound for S ν P S_{\nu P} S ν P , and
∥ ν P ∥ ≤ ∣ ν ∣ ∥ P ∥ . ( † ) \lVert\nu P\rVert\le|\nu|\,\lVert P\rVert . \tag{$\dagger$} ∥ ν P ∥ ≤ ∣ ν ∣ ∥ P ∥ . ( † )
If μ = 0 \mu=0 μ = 0 , then μ A = 0 n \mu A=0_n μ A = 0 n and both sides of the asserted equality are 0 0 0 , by claim 4 and ∣ 0 ∣ = 0 |0|=0 ∣0∣ = 0 . If μ ≠ 0 \mu\ne0 μ = 0 , then μ − 1 \mu^{-1} μ − 1 exists, μ − 1 ( μ A ) = A \mu^{-1}(\mu A)=A μ − 1 ( μ A ) = A entrywise, and ∣ μ ∣ ∣ μ − 1 ∣ = ∣ μ μ − 1 ∣ = ∣ 1 ∣ = 1 |\mu|\,|\mu^{-1}|=|\mu\,\mu^{-1}|=|1|=1 ∣ μ ∣ ∣ μ − 1 ∣ = ∣ μ μ − 1 ∣ = ∣1∣ = 1 by claim 4 of Properties of the Absolute Value in an Ordered Field , so ∣ μ − 1 ∣ = ∣ μ ∣ − 1 |\mu^{-1}|=|\mu|^{-1} ∣ μ − 1 ∣ = ∣ μ ∣ − 1 . Applying ( † ) (\dagger) ( † ) with ν = μ − 1 \nu=\mu^{-1} ν = μ − 1 and P = μ A P=\mu A P = μ A ,
∥ A ∥ = ∥ μ − 1 ( μ A ) ∥ ≤ ∣ μ ∣ − 1 ∥ μ A ∥ , \lVert A\rVert=\lVert\mu^{-1}(\mu A)\rVert\le|\mu|^{-1}\,\lVert\mu A\rVert , ∥ A ∥ = ∥ μ − 1 ( μ A )∥ ≤ ∣ μ ∣ − 1 ∥ μ A ∥ ,
and multiplying by ∣ μ ∣ |\mu| ∣ μ ∣ , 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 ∣ μ ∣ ∥ A ∥ ≤ ∥ μ A ∥ |\mu|\,\lVert A\rVert\le\lVert\mu A\rVert ∣ μ ∣ ∥ A ∥ ≤ ∥ μ A ∥ . Together with ( † ) (\dagger) ( † ) for ν = μ \nu=\mu ν = μ , P = A P=A P = A , and antisymmetry of the total order ≤ \le ≤ , this gives ∥ μ A ∥ = ∣ μ ∣ ∥ A ∥ \lVert\mu A\rVert=|\mu|\,\lVert A\rVert ∥ μ A ∥ = ∣ μ ∣ ∥ A ∥ .
For the triangle inequality, let ξ ∈ R n \xi\in\mathbb{R}^n ξ ∈ R n with ∥ ξ ∥ ≤ 1 \lVert\xi\rVert\le1 ∥ ξ ∥ ≤ 1 . 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 R n \mathbb{R}^n R n and claim 5 of Properties of the Absolute Value in an Ordered Field ,
∣ ξ ⋅ ( ( A + B ) ξ ) ∣ = ∣ ξ ⋅ ( A ξ ) + ξ ⋅ ( B ξ ) ∣ ≤ ∣ ξ ⋅ ( A ξ ) ∣ + ∣ ξ ⋅ ( B ξ ) ∣ ≤ ∥ 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 , ξ ⋅ ( ( A + B ) ξ ) = ξ ⋅ ( A ξ ) + ξ ⋅ ( B ξ ) ≤ ∣ ξ ⋅ ( A ξ ) ∣ + ∣ ξ ⋅ ( B ξ ) ∣ ≤ ∥ A ∥ + ∥ B ∥ ,
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 ∥ A ∥ + ∥ B ∥ is an upper bound for S A + B S_{A+B} S A + B , and ∥ A + B ∥ ≤ ∥ A ∥ + ∥ B ∥ \lVert A+B\rVert\le\lVert A\rVert+\lVert B\rVert ∥ A + B ∥ ≤ ∥ A ∥ + ∥ B ∥ .