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Jordan, contour, similarity, and normal-functional-calculus formulas agree

Statement

Let A∈Cn×n, n≥1, and let f be holomorphic on an open set Ω containing σ(A). The Jordan expression in Analytic primary matrix functions by Jordan blocks is independent of the chosen Jordan representation and satisfies f(XAX−1)=Xf(A)X−1 for every invertible X. It equals p(A) for the unique Hermite polynomial p matching the derivatives of f at the Jordan eigenvalue data; in particular, it commutes with A. For holomorphic f,g on Ω, it also satisfies (fg)(A)=f(A)g(A). If A is normal, it equals the spectral functional calculus The spectral functional calculus f(T) for a normal endomorphism.

If T is block upper triangular with diagonal blocks Tii and f is holomorphic on a neighborhood of σ(T), then f(T) is block upper triangular and its diagonal blocks are f(Tii).

For the contour formula, let Γ be a finite complex cycle with trace in Ω, null-homologous in Ω, disjoint from σ(A), and with index n(Γ,λ)=1 for every λ∈σ(A). Then, with the matrix line integral taken entry by entry, f(A)=12πi∫Γf(z)(zI−A)−1 dz.

Facts & Assumptions

Given: The matrix A, the open set Ω, the holomorphic function f, and, when the contour clause is used, a cycle Γ satisfying the stated trace, null-homology, disjointness, and index hypotheses.

[F1]

The Jordan expression uses the block ∑k<df(k)(λ)Ndk/k! and is the proposed definition of f(A) (Analytic primary matrix functions by Jordan blocks).

[F2]

Arbitrary finite derivative data at distinct nodes have a unique polynomial representative of degree less than the sum of the multiplicities (Finite Hermite data at distinct eigenvalues have a unique polynomial representative).

[F4]

For a null-homologous cycle, the higher Cauchy formula is n(Γ,z)f(k)(z)=k!2πi∫Γf(ζ)(ζ−z)−k−1 dζ (The higher-derivative form of the global Cauchy formula); the chain integral is the finite sum of its contour integrals (Integration over a complex chain and the index of a chain).

[F5]

A normal endomorphism has a spectral resolution by orthogonal eigenspace projections (A normal endomorphism is a sum of its eigenvalues times pairwise orthogonal projections, and each spectral projection is a polynomial in the endomorphism); its spectral functional calculus is ∑λf(λ)Pλ (The spectral functional calculus f(T) for a normal endomorphism).

[F6]

Linearity, product, reciprocal, and quotient rules for complex derivatives gives the complex product rule and finite-sum linearity.

Proof

1.1F2F3choose

Let C be any finite complex square matrix whose eigenvalues lie in Ω, let λ1,…,λs be its distinct eigenvalues, and let mi be the largest Jordan-block size at λi. By [F2], there is a unique polynomial p of degree less than ∑imi with p(k)(λi)=f(k)(λi) for k<mi.

1.2F3algebra

On a block Jd(λ)=λI+N, the finite geometric identity (zI−Jd(λ))−1=∑k=0d−1Nk(z−λ)k+1 holds whenever z≠λ, since multiplication by (z−λ)I−N cancels adjacent terms and Nd=0.

1.3F1F6inductionalgebra

For every integer k≥0, the higher product rule is (fg)(k)=∑j=0k(kj)f(j)g(k−j): the case k=0 is the product itself; differentiate the finite sum using [F6] and combine adjacent terms by (kj−1)+(kj)=(k+1j) to obtain the successor case. Thus on each Jordan block, multiplying the finite Taylor jets has degree-k coefficient ∑j=0kf(j)(λ)g(k−j)(λ)/(j!(k−j)!)=(fg)(k)(λ)/k!. Since Ndd=0, terms of degree at least d vanish, and the resulting block is exactly the jet of fg. Conjugating block by block proves (fg)(A)=f(A)g(A).

2.1F1step 1.1algebra

For each Jordan block Jd(λi)=λiI+Nd, the exact finite Taylor expansion of p at λi gives p(Jd(λi))=∑k<dp(k)(λi)Ndk/k! because Ndd=0. Since d≤mi, these derivatives equal those of f; hence p(C) equals the Jordan expression in [F1].

2.2F4step 1.2algebra

Apply [F4] to each eigenvalue λ with index one. Integrating the finite sum in step 1.2 term by term therefore gives 12πi∫Γf(z)(zI−Jd(λ))−1 dz=∑k=0d−1f(k)(λ)k!Nk. The integral is a finite sum of scalar integrals, so entrywise linearity justifies the operation.

3.1F2F3step 2.1algebra

By [F3], any other Jordan representation has the same block multiset, so the same nodes and maximal sizes determine the same unique polynomial p. Thus its Jordan expression is again p(C). For invertible X, (XCX−1)k=XCkX−1 for every k, so p(XCX−1)=Xp(C)X−1. This proves independence and similarity invariance for every C.

3.2F1F2F3step 1.1step 2.1algebra

Let T be block upper triangular and let p be the Hermite polynomial obtained from steps 1.1–2.1 with C=T. By [F3], if mλ is the largest Jordan-block size of T at λ, then a(x)=∏λ∈σ(T)(x−λ)mλ annihilates T. Every power of T is block upper triangular with ith diagonal block Tiik, so a(Tii)=0 for each i. Any eigenvalue μ of Tii therefore satisfies a(μ)=0, hence μ∈σ(T). If Jd(λ) is a Jordan block of Tii, then a(Jd(λ))=0 forces d≤mλ: the factor multiplying (Jd(λ)−λI)mλ is invertible, so that nilpotent power must vanish. Thus the Hermite conditions defining p give p(Tii)=f(Tii). Every power of T also shows that p(T) is block upper triangular with these diagonal blocks; by step 2.1, f(T)=p(T). This proves the claimed block structure and diagonal blocks.

4.1F1F5step 2.1step 2.2algebra∎

Conjugating the blockwise identity in step 2.2 by the Jordan basis matrix Z and using the definition in [F1] proves the contour formula. If A is normal, [F5] supplies an orthonormal eigenbasis and all Jordan blocks have size one; the same formula is ∑λf(λ)Pλ, which is the stated spectral functional calculus.

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Cited to discharge well-definedness by Analytic primary matrix functions by Jordan blocks.

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