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Exponential dichotomy for a hyperbolic endomorphism: invariant stable and unstable subspaces with exponential estimates
Statement
Let be a real vector space of finite dimension , equipped with a symmetric positive-definite bilinear form , and set . Let be linear, let with canonical embedding and complex-linear extension (Complexification as with its canonical real-linear embedding, Complexification of a real-linear map), and use the exponential series and of these bounded operators (The exponential series of a bounded operator; boundedness is justified in [F1]). Suppose that no eigenvalue of in the sense of Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism has real part .
Then there exist -invariant linear subspaces and real constants , such that and, for every :
- for and ;
- for and ;
- for and ;
- and .
Facts & Assumptions
Given: The finite-dimensional real vector space with its symmetric positive-definite bilinear form, the linear map , its complexification , and the assumption that no complex eigenvalue of is purely imaginary.
The real spectral theorem applied to supplies a real orthonormal basis of (Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis). In that basis every element of has a unique form , with . Define and ; this is the induced Hermitian inner product and norm, and is isometric. These coordinates identify with and with , so both spaces are complete ( and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in , is the real coordinate plane, with coordinate arithmetic). If a linear map has coordinate matrix , Cauchy--Schwarz row by row gives in the corresponding real coordinates (Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation); hence and are bounded. Thus the exponential-series lemma applies to both; it gives absolute operator-norm convergence, , , and . Termwise application of gives (The exponential series of a bounded operator, Complexification as with its canonical real-linear embedding, Complexification of a real-linear map).
The minimal polynomial annihilates , the characteristic polynomial satisfies , and and have the same irreducible factors over ; every nonconstant complex polynomial splits into linear factors, so the eigenvalues of are exactly the complex roots of , each with a positive multiplicity equal to its multiplicity as a root of (The annihilator set ; once existence is proved, its unique monic generator is the minimal polynomial, Complexification preserves the characteristic and minimal polynomials of a finite-dimensional real operator, The minimal and characteristic polynomials have exactly the same monic irreducible factors, Fundamental theorem of algebra: every nonconstant complex polynomial has a complex root, Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism).
Since splits over , the generalised eigenspaces over the distinct eigenvalues of form a direct sum decomposition , each being -invariant (If the minimal polynomial splits, is the direct sum of the stabilised generalised eigenspaces). On each the operator admits a Jordan basis, so with nilpotent of index at most (Jordan canonical form from the elementary divisors of ).
Coprime polynomials satisfy a Bézout identity: if have no common root, there are with (Bézout identity and the Euclidean algorithm for polynomials over a field).
The Hermitian norm is the norm defined in [F1]. Any two norms on the finite-dimensional complex vector space are equivalent (All norms on a finite-dimensional complex normed space are equivalent, Equivalent norms, and the dictionary with equivalent metrics): there is such that for every , where is the maximum norm of the basis fixed in step 2.3. In particular, .
Proof
Let be the set of eigenvalues of and, for , let be its multiplicity as a root of the real polynomial ; by [F2] all elements of have nonzero real part, and is stable under conjugation with : conjugating with gives with . Define Conjugation invariance of with equal multiplicities shows ; by construction , and have no common complex root, hence are coprime with a Bézout identity over [F4].
Exponential on a generalised eigenspace: fix and put on with as in [F3]. For the partial sum through , the binomial expansion and nilpotence of give the finite rearrangement with an empty inner sum when . As , the left side converges to by [F1], and each of the finitely many inner sums converges to by , , and . Thus
Define and . Both are -invariant because commutes with and . Every satisfies the membership following from on the first summand and on the second, where (The annihilator set ; once existence is proved, its unique monic generator is the minimal polynomial). If , the same identity gives . Hence .
Complexified description: and . Writing with , one has , so ; the same holds for . Indeed, on a summand with , the factor divides , so vanishes on ; on a summand with , and are coprime, and evaluating a Bézout identity on (where ) shows is invertible there, so its kernel meets trivially. Summing over [F3] gives the claim; the same argument with gives the second identity.
Estimates on one generalised eigenspace: fix a basis of adapted to the decomposition (for instance the union of Jordan bases of the summands, whose existence is [F3]), and let be the corresponding maximum norm; then every has its coordinate block in equal to the coordinate block of , so for every . On each block use the induced operator norm ; this is finite for a finite matrix. Put so that for and all real by step 1.2. Choose For and , the nonnegative exponential series gives , hence for every integer . Applying this to each term of , with on stable blocks and on unstable blocks, proves that the following suprema are finite: for , and for ,
Constants for the two invariant subspaces. By steps 2.2 and 2.3, for and the decomposition yields since, in the adapted basis of step 2.3, , and for every (as ). Similarly, for and , Set with as in [F5]. For and , applying the first estimate to and using [F5] in both directions, , which is clause 1; the same computation with the second estimate gives clause 2 for , .
Clause 3: let and . By [F1] is invertible with inverse , and because is -invariant. Applying clause 2 with the time to the vector gives hence .
Clause 4: by clauses 1 and 3, every satisfies as , and by clause 2 every satisfies as . Conversely, let satisfy as and write with , ; by clauses 3 and 1, unless . So convergence to forces , that is . The characterisation of follows by the same argument with : clause 2 gives for , while for the growth estimate for , obtained from clause 1 at time and invertibility of , forces divergence.
Remarks
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The subspaces and are the stable and unstable subspaces of ; they are constructed from the coprime factorisation and are real by construction, so no separate descent argument from the complexification is needed. The constant depends on the basis fixed in step 2.3, through the equivalence constant of [F5], and on , while is any positive number below .
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The hypothesis is a spectral gap at the imaginary axis. A purely imaginary eigenvalue (including the eigenvalue ) is not covered: if is an eigenvalue then no positive rate can work for the corresponding directions. An equilibrium whose linearisation has all eigenvalues in the open left half-plane is locally exponentially stable and A hyperbolic equilibrium whose linearisation has an eigenvalue with positive real part is unstable use only the cases (all eigenvalues in the open left half-plane) and .
Depends on
The exponential series of a bounded operator
Complexification as with its canonical real-linear embedding
Complexification of a real-linear map
Eigenvalues, eigenvectors, eigenspaces , and the spectrum of an endomorphism
The annihilator set ; once existence is proved, its unique monic generator is the minimal polynomial
Complexification preserves the characteristic and minimal polynomials of a finite-dimensional real operator
The minimal and characteristic polynomials have exactly the same monic irreducible factors
If the minimal polynomial splits, is the direct sum of the stabilised generalised eigenspaces
Jordan canonical form from the elementary divisors of
Fundamental theorem of algebra: every nonconstant complex polynomial has a complex root
Bézout identity and the Euclidean algorithm for polynomials over a field
All norms on a finite-dimensional complex normed space are equivalent
Equivalent norms, and the dictionary with equivalent metrics
Real spectral theorem: a self-adjoint endomorphism of a finite-dimensional real inner product space has an orthonormal eigenbasis
and for with the Euclidean metric are complete, componentwise from the Cauchy criterion in
is the real coordinate plane, with coordinate arithmetic
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
, , and
Dependency tree · 2 levels
Sources
- G. Teschl, Ordinary Differential Equations and Dynamical Systems (AMS Graduate Studies in Mathematics 140, online edition), Section 9.1, Theorems 9.1 and 9.2 and formulas (9.2), (9.4), (9.6), printed pages 253-254
- F. Ramponi, Notes on Lyapunov's theorem, Section 3 (the Lyapunov equation and the exponential estimate P = integral of e^{A^T t} Q e^{A t})