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Separated DARE pencils have quantitatively stable deflating graphs

Statement

Let (N,M) be the order-2n DARE pencil in The stabilizing DARE solution is the stable deflating graph of a regular symplectic pencil, with n≥1. Work over C, also for real input. Suppose exact unitary matrices Q,V give an ordered complex generalized Schur pair Q∗NV=S=[S11S120S22],Q∗MV=T=[T11T120T22], where each diagonal block has order n, all four diagonal blocks are upper triangular, the leading homogeneous roots are strictly inside the unit disk, and the trailing roots are strictly outside its closure, including infinity. This ordered representation is an explicit input; existence of an unordered generalized Schur form is not an ordering certificate.

Give pairs of n×n matrices the product Frobenius norm ∥(Y,Z)∥P=(∥Y∥F2+∥Z∥F2)1/2, and define the lower-oriented generalized Sylvester separation γ=min⁡∥(Y,Z)∥P=1∥(S22Y−ZS11,T22Y−ZT11)∥P. Then γ>0. Write κ=γ−1, h=(∥S12∥22+∥T12∥22)1/2. For arbitrary pencil perturbations ΔN,ΔM, put E=Q∗ΔNV, F=Q∗ΔMV, and δ=(∥E∥F2+∥F∥F2)1/2=(∥ΔN∥F2+∥ΔM∥F2)1/2. If r>0 satisfies κ[δ+2δr+(h+δ)r2]≤r,κ[2δ+2(h+δ)r]<1, there is a unique pair (Y,Z) in the product radius-r ball for which the right and left graphs V[I;Y] and Q[I;Z] form matching deflating spaces of the perturbed pair. In particular ∥Y∥F,∥Z∥F≤r. For δ>0, a sufficient choice is r=2κδ whenever, with θ=κδ, 4θ+4κhθ+4θ2<1. For δ=0, take Y=Z=0.

Here are separate sufficient margins identifying these graphs as the stable spaces. Set a=δ+(∥S12∥2+δ)r,b=δ+(∥T12∥2+δ)r, Ks=T11−1S11,Ku=S22−1T22. The inverses exist and Ks,Ku are Schur stable. For j=s,u, choose Wj≻0 with Wj−Kj∗WjKj=I; the convergent Stein series supplies such a matrix. Require ∥T11−1∥2b<1,∥S22−1∥2a<1, and define ϵs=∥T11−1∥2(a+b∥Ks∥2)1−∥T11−1∥2b,ϵu=∥S22−1∥2(b+a∥Ku∥2)1−∥S22−1∥2a. If ∥Wj∥2(2∥Kj∥2ϵj+ϵj2)<1(j=s,u), then the perturbed pencil is regular, has precisely n stable roots and n outside roots, and the constructed right graph is its stable deflating space. For fixed ordered input these margins hold for all sufficiently small δ with r=2κδ.

For normalized right bases, write V=[U V2] and U^=(U+V2Y)(I+Y∗Y)−1/2,y=∥Y∥2,β(y)=2(1−11+y2). Then U^∗U^=I, ∥U^−U∥2=β(y)≤y≤r, and ∥(I−UU∗)U^∥2=y1+y2. If the physical top block U1 of U=[U1;U2] is invertible, X=U2U1−1, and ∥U1−1∥2β(y)<1, then U^1 is invertible and ∥U^2U^1−1−X∥2≤(1+∥X∥2)β(y)∥U1−1∥2−1−β(y). For the directly computable bound with β(r), impose the stronger margin ∥U1−1∥2β(r)<1; replacing β(y) by β(r) then gives a valid weaker estimate. An independently rotated orthonormal basis of the same perturbed space produces the identical chart, so it need not be close to U before alignment. The conclusion concerns an unstructured perturbed pencil; it does not certify Hermitian symmetry, Riccati residual, positive data, or the stabilizing Riccati branch after symmetrization.

Facts & Assumptions

Given: The regular DARE pencil and stable graph, an exact ordered complex unitary generalized Schur representation with the stated strict stable split, perturbations of both pencil matrices, the stated contraction radius, and the indicated separate stability and chart margins.

[F1]

The stabilizing DARE solution is the stable deflating graph of a regular symplectic pencil: the DARE pencil is regular, has n stable finite roots and n outside roots including infinity, and its stable right deflating space is a graph.

[F2]

Complex and real generalized Schur forms: a complex generalized Schur representation has exact unitary left/right factors and upper-triangular arrays with homogeneous scalar diagonal pairs.

[F3]

Every linear map between finite-dimensional real or complex inner product spaces admits a singular value decomposition: a finite-dimensional linear map has a smallest singular value; it is positive exactly when the map is injective.

[F4]

The Frobenius norm ∥A∥F=(∑i,j∣aij∣2)1/2 on real or complex matrices: the Frobenius norm is the Euclidean norm of the matrix entry list, including for zero-sized blocks.

[F5]

Spectral and Frobenius norms are unitarily invariant, are given by singular values, and satisfy the sharp rank comparison: unitary factors preserve Frobenius and operator norms, and ∥M∥2≤∥M∥F.

[F6]

The operator norm is submultiplicative and satisfies ||T^*T|| = ||T||^2: compatible operator norms are submultiplicative.

[F7]

Powers of a Schur-stable matrix decay geometrically up to a polynomial factor: powers of a Schur-stable matrix decay geometrically up to a finite constant.

[F8]

Every finite-dimensional normed space is Banach: every finite-dimensional normed real or complex space is complete.

[F9]

A non-negative operator has a unique non-negative square root and [F3]: I+Y∗Y has a positive inverse square root with the singular-value formulas used below.

[F10]

The homogeneous determinant factors across a block upper triangular pencil: the homogeneous determinant factors across the diagonal blocks of a block upper-triangular pencil.

[F11]

Every finite-dimensional endomorphism over an algebraically closed field has Jordan form: each finite-dimensional complex endomorphism has a basis of generalized eigenvectors.

[F12]

A Neumann defect bounds the inverse norm: if ∥E∥2≤q<1, then I−E is invertible and ∥(I−E)−1∥2≤(1−q)−1.

[F15]

Regular matrix pencils and homogeneous generalized eigenvalues: the homogeneous roots of (N,M) are zeros of det⁡(βN−αM); β=0 represents infinity.

Proof

1.1F1F2F3F4givenconstructalgebra

By [F1], the regular base DARE pencil has an n+n stable/outside split, and the ordered representation [F2] puts the stable roots in the leading blocks and the outside roots in the trailing blocks. Write trailing diagonal pairs as (si,ti) and leading ones as (pj,qj). Disjoint homogeneous roots give pjti−siqj≠0 for every i,j, including ti=0. In the system S22Y−ZS11=C, T22Y−ZT11=D, process rows i=n,n−1,…,1 and within each row columns j=1,…,n; upper triangularity makes all other terms involve already determined Ykj with k>i or Ziℓ with ℓ<j. The two unknowns (Yij,Zij) have coefficient matrix [si−pjti−qj] with determinant pjti−siqj≠0, so the lower-oriented generalized Sylvester map is bijective. Its minimum singular value [F3] is therefore γ>0, and its inverse norm is κ=γ−1.

2.1F1F4F5F6F8step 1.1algebra

Define CY=S11+E11+(S12+E12)Y and DY=T11+F11+(T12+F12)Y. Block multiplication gives (S+E)[I;Y]=[I;Z]CY and (T+F)[I;Y]=[I;Z]DY exactly when L(Y,Z)=(S22Y−ZS11,T22Y−ZT11) equals (−E21−E22Y+ZE11+Z(S12+E12)Y, −F21−F22Y+ZF11+Z(T12+F12)Y). On the product radius-r ball, the right side has norm at most δ+2δr+(h+δ)r2: the constant pair is bounded by δ, the two linear pairs by δ∥Y∥F and δ∥Z∥F, and the quadratic pair by (h+δ)∥Z∥F∥Y∥F. Splitting the quadratic difference into its Y and Z changes bounds the Lipschitz constant by 2δ+2(h+δ)r. Applying L−1 gives a self-map and contraction under the stated inequalities; iteration from zero has geometrically summable increments, so completeness [F8] gives a limit in the closed ball, continuity gives a fixed point, and contraction gives uniqueness. For r=2κδ and θ=κδ, substitution gives self-map ratio κ[δ+2δr+(h+δ)r2]/r=1/2+2θ+2κhθ+2θ2 and contraction constant 2θ+4κhθ+4θ2; the displayed strict condition implies both. For δ=0, the exact pair Y=Z=0 solves the graph equations.

3.1F2F5F6F7F12step 2.1algebra

Set RY=[I0YI] and LZ=[I0−ZI]. They are invertible shears of determinant one, and the graph equations from step 2.1 give LZ(S+E)RY=[CYS12+E120A′] and LZ(T+F)RY=[DYT12+F120B′], where A′=S22+E22−Z(S12+E12) and B′=T22+F22−Z(T12+F12). Unitary invariance, ∥M∥2≤∥M∥F [F5], and submultiplicativity [F6] give ∥CY−S11∥2,∥A′−S22∥2≤a and ∥DY−T11∥2,∥B′−T22∥2≤b. Every leading stable root is finite, so T11 is invertible and Ks=T11−1S11 is upper triangular with diagonal moduli below one. Every trailing outside root has nonzero first homogeneous coordinate, so S22 is invertible and Ku=S22−1T22 is upper triangular with diagonal moduli below one, including zero for infinity; thus both are Schur stable. By [F7], Wj=∑k≥0(Kj∗)kKjk converges for j=s,u, is positive definite, and satisfies Wj−Kj∗WjKj=I. The two Neumann margins and [F12] make DY,A′ invertible with inverse norms at most ∥T11−1∥2/(1−∥T11−1∥2b) and ∥S22−1∥2/(1−∥S22−1∥2a). The identities DY−1CY−Ks=DY−1[(CY−S11)−(DY−T11)Ks] and A′−1B′−Ku=A′−1[(B′−T22)−(A′−S22)Ku] give exactly the stated ϵs,ϵu bounds.

3.2F3F5F9givenstep 2.1algebra

Put PY=(I+Y∗Y)−1/2. Since V=[U V2] is unitary, (U+V2Y)∗(U+V2Y)=I+Y∗Y, so U^∗U^=I and U∗U^=PY. Therefore (U^−U)∗(U^−U)=2(I−PY). The largest eigenvalue of Y∗Y is y2, so [F3], [F5], and [F9] give the exact norm ∥U^−U∥2=β(y). The scalar function g(t)=t−2(1−(1+t)−1/2) has g(0)=0 and g′(t)=1−(1+t)−3/2≥0 for t≥0, proving β(y)≤y≤r. Also (I−UU∗)U^=V2YPY, whose largest singular value is y/1+y2 by [F3] and [F5].

4.1F6F10F11F13F14F15givenstep 3.1algebra

If K is either quotient in step 3.1 and ∥H∥2≤ϵ, then W−(K+H)∗W(K+H)=I−(K∗WH+H∗WK+H∗WH). The subtracted Hermitian term has norm at most ∥W∥2(2∥K∥2ϵ+ϵ2)<1, so the left side is positive definite; an eigenvector of K+H with eigenvalue λ gives (1−∣λ∣2)v∗Wv>0, hence ∣λ∣<1. Applied to DY−1CY and A′−1B′, this makes the leading perturbed roots finite and stable, and the trailing roots outside, with zero eigenvalues of A′−1B′ representing infinity. The shears have determinant one, so [F13] preserves the homogeneous determinant under their left/right transformations; [F10] factors it across the diagonal blocks. Since DY and A′ are invertible, both diagonal pencils are regular and their product is a regular pencil with the claimed n+n root split. The regular base and perturbed determinant polynomials have finite root sets by [F14]; choose λ0∈C outside their union. Put R=(N′−λ0M′)−1M′ for N′=LZ(S+E)RY and M′=LZ(T+F)RY. Then N′−λM′=(N′−λ0M′)[I−(λ−λ0)R], so [F13] expresses the pencil determinant as a nonzero constant times det⁡(I−(λ−λ0)R). Jordan form [F11] factors the latter into ∏j(1−(λ−λ0)μj) over the eigenvalues μj of R, with algebraic multiplicity. Thus each finite root maps injectively to μ=1/(λ−λ0), and the polynomial degree is the number of nonzero μj, counted with algebraic multiplicity. Its homogeneous form is det⁡(βN′−αM′)=β2ndet⁡(N′−(α/β)M′); by [F15], its multiplicity at [1:0] is 2n minus that degree, exactly the multiplicity of the zero eigenvalue of R. The matrix R is block upper triangular with diagonal blocks (CY−λ0DY)−1DY and (A′−λ0B′)−1B′, whose spectra are disjoint because their pencil-root groups are disjoint and the projective map is injective. For a generalized eigenvector [x;y] belonging to a leading-block eigenvalue μ, its trailing equation is (R22−μI)ky=0; disjoint spectra force y=0. Conversely, Jordan form [F11] supplies a basis of generalized eigenvectors of the leading n×n block, which embed as [x;0] and span exactly the full leading-root generalized eigenspace. Undoing the graph shears and unitary factors identifies this right subspace with V[I;Y] and its matching left deflating graph with Q[I;Z].

4.2F5F6F12step 3.2algebra

Write ΔU=U^−U. Under the strict chart margin, U^1=U1(I+U1−1ΔU1) and ∥U1−1ΔU1∥2≤∥U1−1∥2β(y)<1. By [F12], U^1 is invertible and ∥U^1−1∥2≤(∥U1−1∥2−1−β(y))−1. Using U2=XU1 gives U^2U^1−1−X=(ΔU2−XΔU1)U^1−1; [F6] yields the stated chart estimate. Since β is increasing and β(y)≤β(r), the stronger margin ∥U1−1∥2β(r)<1 gives the computable weaker bound. An independently rotated orthonormal basis of the same space is U^R0 for unitary R0 and has the same chart because (U^1R0)−1=R0−1U^1−1. The proof assumes no structure on E,F, so it gives no Riccati residual, symmetry, positivity, or post-symmetrization stability certificate.

5.1givenstep 2.1step 3.1step 4.1algebra∎

As δ→0 with r=2κδ, θ→0, a,b→0, and ϵs,ϵu→0; hence the contraction, Neumann, and both Stein margins in the Statement hold for all sufficiently small δ. If U1 is invertible, also ∥U1−1∥2β(r)<1 for all sufficiently small δ, so the computable chart margin holds.

No arbitrary Axiom of Choice is used: all constructions are finite-dimensional scans, norm-convergent series, or selections from complements of finite subsets of C.

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