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Riccati residual sensitivity and invariant graph conditioning retain spectral separation
Statement
Let and be the stabilizing CARE and DARE solutions under the hypotheses of Stabilizability and detectability give the unique stabilizing positive-semidefinite CARE solution and Stabilizability and detectability give the unique stabilizing positive-semidefinite DARE solution. Their residual derivatives on Hermitian matrices are When invertible, the local residual condition numbers are and . If additive Hermitian residual perturbations admit radii satisfying the contraction and separate stability-margin hypotheses of A CARE residual and Lyapunov margin certify a unique stabilizing root in a matrix ball or A DARE residual, Stein inverse bound, and Lyapunov margin certify a stabilizing root, the perturbed equations have stabilizing roots within those radii; the linear leading sensitivity is or .
For CARE, write and let , with . For a Hamiltonian perturbation , put , , , and . If , the perturbed Hamiltonian has an invariant graph with . If its restriction is certified Hurwitz and the perturbed Hamiltonian is certified to have exactly left-half-plane eigenvalues, this graph is its stable subspace.
Finally, for either an exact CARE invariant graph basis or DARE deflating graph basis with invertible , let and let . If , then remains invertible and This basis-chart estimate does not by itself certify a perturbed QZ deflating subspace.
For the DARE pencil, Separated DARE pencils have quantitatively stable deflating graphs gives a separate perturbation-to-stable-deflating-space estimate from a generalized Sylvester separation, explicit contraction inequalities, and distinct leading/trailing Stein margins. Under those conditions its aligned orthonormal stable basis changes by at most . The computable physical chart estimate additionally requires ; without that margin the chart remains inconclusive. A QZ pencil backward-error bound alone supplies none of these conditions.
Facts & Assumptions
Given: Standard CARE/DARE data, their stabilizing solutions and graph representations, and the indicated residual or basis perturbation bounds.
Stabilizability and detectability give the unique stabilizing positive-semidefinite CARE solution: the CARE has a unique Hermitian positive-semidefinite solution whose closed loop is Hurwitz.
Stabilizability and detectability give the unique stabilizing positive-semidefinite DARE solution: the DARE has a unique Hermitian positive-semidefinite solution whose closed loop is Schur stable.
Standard CARE and DARE data, equations, and conventions: and on their stated domains.
The stabilizing DARE solution is the stable deflating graph of a regular symplectic pencil: for the stated homogeneous DARE pencil.
Sylvester operator and Frobenius separation number: is the smallest singular value of in Frobenius norm.
A CARE residual and Lyapunov margin certify a unique stabilizing root in a matrix ball: CARE residual radius conditions are and , with a separate Lyapunov stability margin.
A DARE residual, Stein inverse bound, and Lyapunov margin certify a stabilizing root: DARE residual radius conditions use and , with a separate Stein stability margin.
A Sylvester equation is uniquely solvable exactly when the spectra are disjoint: is invertible when .
Every finite-dimensional normed space is Banach: finite-dimensional Frobenius matrix spaces are complete.
Powers of a Schur-stable matrix decay geometrically up to a polynomial factor: powers of a Schur-stable matrix decay geometrically, so the Stein series in the proof converges.
The operator norm is submultiplicative and satisfies ||T^*T|| = ||T||^2: compatible operator norms are submultiplicative.
The Hurwitz Lyapunov integral is the unique solution and has the stated positivity: for a Hurwitz matrix, the Lyapunov integral with positive-definite forcing is positive definite and solves the associated Lyapunov equation.
Separated DARE pencils have quantitatively stable deflating graphs: generalized Sylvester separation, paired-graph contraction, separate leading and reciprocal-trailing Stein margins, and normalized basis/chart estimates bound the perturbed DARE stable deflating graph, including infinite roots.
Residual perturbations are Hermitian and the verified norm and stability bounds in the applicable radius certificate enclose their exact values.
For the CARE subspace part, the perturbed stable eigenvalue count and the Hurwitz property of the restriction are supplied as verified inputs when stable-subspace identity is asserted.
Proof
By [F3], expanding the CARE polynomial at a Hermitian gives where . For the DARE, set . Direct multiplication gives Taking the derivative at and multiplying by gives ; since , this gives .
Apply [F14] to the exact ordered unitary DARE pencil representation and the supplied perturbations of both pencil matrices. Its paired generalized Sylvester operator and contraction inequalities give the radius- right and left deflating graphs; its separate Neumann and Stein margins establish the perturbed stable split. Its normalized basis construction gives distance at most , and its computable physical chart estimate retains the inverse graph-block norm and the strict margin . No part of this conclusion follows from QZ backward error alone.
For a CARE additive residual perturbation , write and let . Then and step 1.1 makes the perturbed root equation equivalent to If satisfies and , the map sends the closed radius- Hermitian ball to itself and has Lipschitz constant at most the second displayed quantity. Iteration from zero gives geometric successive differences; [F10] gives a limit in the ball, continuity gives a fixed point, and contraction gives uniqueness. Let ; then . If also , then . Hence ; an eigenvector with eigenvalue gives , so the perturbed loop is Hurwitz. For DARE, [F2] gives Schur stability and [F11] gives the Stein inverse . On a sufficiently small ball, , where . Put , , and . The resolvent identity gives and . Splitting into its and inverse-factor changes yields , where ; hence and , . Since , subtraction gives . Integrating this derivative along line segments gives with and on the ball. Thus is a self-map when and a contraction when . The same completeness argument gives its unique local root. For a separate stability margin, take , so by [F11]. Put . Expanding the Stein form bounds its change by ; choose so this is below . Then , and an eigenvector gives , so the perturbed loop is Schur stable. For sufficiently small , take in CARE when ; the contraction and stability inequalities hold for small enough , giving . If , the equation is linear and this order bound is exact. In DARE, take when ; for sufficiently small this satisfies the self-map, contraction, , and Stein-margin bounds, again giving . If , the local equation is linear. The remainders are therefore , proving the first-order terms and .
Put . Multiplying the Hamiltonian in [F4] on the right by and then on the left by , and using the CARE identity in [F3], gives The Sylvester map has smallest singular value : [F9] applies because lies in the right half-plane while lies in the left half-plane; [F6] gives inverse norm . In the perturbed coordinates, write and seek an invariant graph . Its lower-block graph equation is Hence is a fixed point of On the Frobenius ball , each block norm of is at most . The map norm is at most , hence at most under the displayed smallness condition. Its Lipschitz constant is at most . Completeness [F10] and iteration therefore give a unique fixed point in the ball. Returning through turns into , proving the graph bound. Under [A2], the restriction has stable eigenvalues and the perturbed matrix has exactly stable eigenvalues in total. In a basis beginning with this invariant graph, the perturbed matrix is block upper triangular with this stable restriction as its first diagonal block; the quotient block therefore has no stable eigenvalues. A stable generalized eigenvector must project to a stable generalized eigenvector of the quotient, which is impossible, so every stable generalized eigenspace lies in the graph. Both spaces have dimension , hence the graph is the stable spectral subspace.
Since and , the Neumann geometric series makes the second factor invertible and gives . Using , Submultiplicativity [F12] proves the displayed basis-chart bound. This derivation uses only the graph equation, so it applies to both the CARE invariant graph and the DARE deflating graph; it does not convert a pencil backward error into a deflating-subspace error.
Depends on
- Stabilizability and detectability give the unique stabilizing positive-semidefinite CARE solution
- Stabilizability and detectability give the unique stabilizing positive-semidefinite DARE solution
- The stabilizing CARE solution is the Hamiltonian stable invariant graph
- The stabilizing DARE solution is the stable deflating graph of a regular symplectic pencil
- Standard CARE and DARE data, equations, and conventions
- A CARE residual and Lyapunov margin certify a unique stabilizing root in a matrix ball
- A DARE residual, Stein inverse bound, and Lyapunov margin certify a stabilizing root
- Sylvester operator and Frobenius separation number
- A Sylvester equation is uniquely solvable exactly when the spectra are disjoint
- The Hurwitz Lyapunov integral is the unique solution and has the stated positivity
- Powers of a Schur-stable matrix decay geometrically up to a polynomial factor
- The Frobenius norm $\lVert A\rVert_F=(\sum_{i,j}|a_{ij}|^2)^{1/2}$ on real or complex matrices
- The operator norm is zero on the zero domain and otherwise is max_{||v||=1} ||Tv||
- The operator norm is submultiplicative and satisfies ||T^*T|| = ||T||^2
- Every finite-dimensional normed space is Banach
- Separated DARE pencils have quantitatively stable deflating graphs
Used by
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Sources
- Valeria Simoncini, Computational Methods for Linear Matrix Equations (standard reference, not scraped)
- Peter Benner and Lihong Feng, Model Reduction for Dynamical Systems, Lecture 8 (standard reference, not scraped)