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Jordan, contour, similarity, and normal-functional-calculus formulas agree
Statement
Let , , and let be holomorphic on an open set containing . The Jordan expression in Analytic primary matrix functions by Jordan blocks is independent of the chosen Jordan representation and satisfies for every invertible . It equals for the unique Hermite polynomial matching the derivatives of at the Jordan eigenvalue data; in particular, it commutes with . For holomorphic on , it also satisfies . If is normal, it equals the spectral functional calculus The spectral functional calculus f(T) for a normal endomorphism.
If is block upper triangular with diagonal blocks and is holomorphic on a neighborhood of , then is block upper triangular and its diagonal blocks are .
For the contour formula, let be a finite complex cycle with trace in , null-homologous in , disjoint from , and with index for every . Then, with the matrix line integral taken entry by entry,
Facts & Assumptions
Given: The matrix , the open set , the holomorphic function , and, when the contour clause is used, a cycle satisfying the stated trace, null-homology, disjointness, and index hypotheses.
The Jordan expression uses the block and is the proposed definition of (Analytic primary matrix functions by Jordan blocks).
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).
Every complex finite-dimensional matrix has a Jordan form, and its Jordan block multiset is invariant under similarity (Jordan form over the base field exists exactly when the characteristic polynomial splits, Fundamental theorem of algebra: every nonconstant complex polynomial has a complex root, Split matrices are similar exactly when their Jordan block multisets agree).
For a null-homologous cycle, the higher Cauchy formula is (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).
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 (The spectral functional calculus f(T) for a normal endomorphism).
Linearity, product, reciprocal, and quotient rules for complex derivatives gives the complex product rule and finite-sum linearity.
Proof
Let be any finite complex square matrix whose eigenvalues lie in , let be its distinct eigenvalues, and let be the largest Jordan-block size at . By [F2], there is a unique polynomial of degree less than with for .
On a block , the finite geometric identity holds whenever , since multiplication by cancels adjacent terms and .
For every integer , the higher product rule is : the case is the product itself; differentiate the finite sum using [F6] and combine adjacent terms by to obtain the successor case. Thus on each Jordan block, multiplying the finite Taylor jets has degree- coefficient . Since , terms of degree at least vanish, and the resulting block is exactly the jet of . Conjugating block by block proves .
For each Jordan block , the exact finite Taylor expansion of at gives because . Since , these derivatives equal those of ; hence equals the Jordan expression in [F1].
Apply [F4] to each eigenvalue with index one. Integrating the finite sum in step 1.2 term by term therefore gives The integral is a finite sum of scalar integrals, so entrywise linearity justifies the operation.
By [F3], any other Jordan representation has the same block multiset, so the same nodes and maximal sizes determine the same unique polynomial . Thus its Jordan expression is again . For invertible , for every , so . This proves independence and similarity invariance for every .
Let be block upper triangular and let be the Hermite polynomial obtained from steps 1.1–2.1 with . By [F3], if is the largest Jordan-block size of at , then annihilates . Every power of is block upper triangular with th diagonal block , so for each . Any eigenvalue of therefore satisfies , hence . If is a Jordan block of , then forces : the factor multiplying is invertible, so that nilpotent power must vanish. Thus the Hermite conditions defining give . Every power of also shows that is block upper triangular with these diagonal blocks; by step 2.1, . This proves the claimed block structure and diagonal blocks.
Conjugating the blockwise identity in step 2.2 by the Jordan basis matrix and using the definition in [F1] proves the contour formula. If is normal, [F5] supplies an orthonormal eigenbasis and all Jordan blocks have size one; the same formula is , which is the stated spectral functional calculus.
Depends on
- Linearity, product, reciprocal, and quotient rules for complex derivatives
- Analytic primary matrix functions by Jordan blocks
- Finite Hermite data at distinct eigenvalues have a unique polynomial representative
- Jordan form over the base field exists exactly when the characteristic polynomial splits
- Fundamental theorem of algebra: every nonconstant complex polynomial has a complex root
- Split matrices are similar exactly when their Jordan block multisets agree
- Rectifiable complex contours, reversal, concatenation, closedness, and orientation
- The spectral functional calculus f(T) for a normal endomorphism
- A normal endomorphism is a sum of its eigenvalues times pairwise orthogonal projections, and each spectral projection is a polynomial in the endomorphism
- Cauchy's integral formula for a null-homologous cycle
- The higher-derivative form of the global Cauchy formula
- Complex chains, their traces, and cycles
- Integration over a complex chain and the index of a chain
- Null-homologous cycles and homologous cycles in an open set
Used by
- Finite-budget Newton iteration for the matrix sign Algorithm
- A stable-spectrum nonnormal exponential has a large transient norm Example
- A resolvent contour bound transfers scalar rational error to matrices Theorem
- A verified Jordan evaluation returns the primary matrix function Theorem
- Newton sign iteration converges off the imaginary axis and is locally quadratic Theorem
- Padé error and squaring defects give a conditional exponential error bound Theorem
- Separated Schur–Parlett blocks reconstruct the analytic matrix function Theorem
- The exponential Fréchet derivative has an integral and block-matrix formula Theorem
- The principal matrix logarithm and square root exist off the closed negative-real axis Theorem
Cited to discharge well-definedness by Analytic primary matrix functions by Jordan blocks.
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Sources
- Jan Zur, Matrix Functions, TU Berlin full lecture notes (standard reference, not scraped)
- Nicholas J. Higham, Functions of Matrices, Handbook of Linear Algebra, Chapter 17 (standard reference, not scraped)