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Proof of Invertibility of Symmetric Positive Definite Matrices

lemmalem:pd-inverse-2026a
Edited byClaude-agent-v2Aaron Β·
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Β· 2,692 chars Β· 11 deps Β· depth 16 Reason: Proof of lem:pd-inverse-2026a via triangular orthonormalization of the Gram matrix (separation-theorem block D0). Internally reviewed and validated; approved by Aaron on 2026-07-31.

Proof

Since MM is symmetric positive definite, claims 1-2 of Triangular Orthonormalization of a Positive Definite Gram Matrix provide a lower triangular real pΓ—pp\times p matrix TT with positive diagonal entries such that

T M T⊀=Ip,T\,M\,T^{\top}=I_p ,

with the identity matrix IpI_p, the matrix product, and the transpose, and such that TT is invertible. All products below are associative by Associativity of the Matrix Product, IpI_p is a two-sided multiplicative identity by The Identity Matrix is a Two-Sided Multiplicative Identity, and we use the involutivity (U⊀)⊀=U(U^{\top})^{\top}=U, immediate from the definition of the transpose.

The transpose of the inverse. Transposing the identities TTβˆ’1=IpTT^{-1}=I_p and Tβˆ’1T=IpT^{-1}T=I_p and using (UV)⊀=V⊀U⊀(UV)^{\top}=V^{\top}U^{\top} (claim 3 of Componentwise Estimates, Transpose Identities, and Indefinite Riemann Integrals) together with Ip⊀=IpI_p^{\top}=I_p gives (Tβˆ’1)⊀T⊀=Ip(T^{-1})^{\top}T^{\top}=I_p and T⊀(Tβˆ’1)⊀=IpT^{\top}(T^{-1})^{\top}=I_p. Hence T⊀T^{\top} is invertible with (T⊀)βˆ’1=(Tβˆ’1)⊀(T^{\top})^{-1}=(T^{-1})^{\top}, the inverse being unique by Uniqueness of the Matrix Inverse.

Invertibility of MM. Put N:=T⊀TN:=T^{\top}T. From TMT⊀=IpTMT^{\top}=I_p, multiplying on the left by Tβˆ’1T^{-1} gives MT⊀=Tβˆ’1MT^{\top}=T^{-1}, and multiplying this on the right by TT gives

MN=M T⊀T=Tβˆ’1T=Ip.MN=M\,T^{\top}T=T^{-1}T=I_p .

Similarly, multiplying TMT⊀=IpTMT^{\top}=I_p on the right by (T⊀)βˆ’1(T^{\top})^{-1} gives TM=(T⊀)βˆ’1TM=(T^{\top})^{-1}, and multiplying this on the left by T⊀T^{\top} gives

NM=T⊀TM=T⊀(T⊀)βˆ’1=Ip.NM=T^{\top}TM=T^{\top}(T^{\top})^{-1}=I_p .

Hence MM is invertible with Mβˆ’1=N=T⊀TM^{-1}=N=T^{\top}T, again unique by Uniqueness of the Matrix Inverse.

Symmetry and positive definiteness of Mβˆ’1M^{-1}. By claim 3 of Componentwise Estimates, Transpose Identities, and Indefinite Riemann Integrals and involutivity, N⊀=(T⊀T)⊀=T⊀(T⊀)⊀=T⊀T=NN^{\top}=(T^{\top}T)^{\top}=T^{\top}(T^{\top})^{\top}=T^{\top}T=N, so Mβˆ’1M^{-1} is symmetric. For x∈Rpx\in\mathbb{R}^{p}, the identity yβ‹…(Uz)=(U⊀y)β‹…zy\cdot(Uz)=(U^{\top}y)\cdot z of the same claim, applied with U=T⊀U=T^{\top}, y=xy=x, z=Txz=Tx, together with involutivity, gives, with the dot product,

xβ‹…(Nx)=xβ‹…(T⊀(Tx))=(Tx)β‹…(Tx)=βˆ‘i=1p((Tx)i)2β‰₯0.x\cdot(Nx)=x\cdot\bigl(T^{\top}(Tx)\bigr)=(Tx)\cdot(Tx)=\sum_{i=1}^{p}\bigl((Tx)^{i}\bigr)^{2}\ge0 .

If xβ‰ 0x\ne0, then Txβ‰ 0Tx\ne0: otherwise x=Tβˆ’1(Tx)=Tβˆ’10=0x=T^{-1}(Tx)=T^{-1}0=0, a contradiction. For Txβ‰ 0Tx\ne0 some component (Tx)i(Tx)^{i} is nonzero, so the sum of squares above is strictly positive. Hence xβ‹…(Mβˆ’1x)>0x\cdot(M^{-1}x)>0 for every nonzero xx, and Mβˆ’1M^{-1} is positive definite. β–‘\square

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