EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LINEAR SKEW-PRODUCT FLOWS ON LOCALLY COMPACT SPACES WITH BANACH FIBERS
|
|
- Isabella Leonard
- 5 years ago
- Views:
Transcription
1 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LINEAR SKEW-PRODUCT FLOWS ON LOCALLY COMPACT SPACES WITH BANACH FIBERS Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Abstract. We study evolutionary semigroups generated by a strongly continuous semi-cocycle over a locally compact metric space acting on Banach fibers. This setting simultaneously covers evolutionary semigroups arising from nonautonomuous abstract Cauchy problems and C 0 -semigroups, and linear skew-product flows. The spectral mapping theorem for these semigroups is proved. The hyperbolicity of the semigroup is related to the exponential dichotomy of the corresponding linear skew-product flow. To this end a Banach algebra of weighted composition operators is studied. The results are applied in the study of: roughness of the dichotomy, dichotomy and solutions of nonhomogeneous equations, Green s function for a linear skew-product flow, pointwise dichotomy versus global dichotomy, and evolutionary semigroups along trajectories of the flow. 1. Introduction The spectral theory of linear skew-product flows (or processes) with finite dimensional fibers is, by now, a well-developed area in asymptotics theory of differential equations (see, e.g., [14, 15, 20, 38, 46, 47, 49, 50]). J. Hale in [14, p.60] stressed that this theory should be extended to the infinite dimensional setting. Indeed, in recent years significant progress has been made in the study of linear skew-product flows (LSPFs) with Banach fibers ([8, 9, 10, 28, 48]) over a compact 1991 Mathematics Subject Classification. 47D06, 34G10, 34C35. Key words and phrases. Evolutionary semigroups, spectral mapping theorems, linear skew-product flows, exponential dichotomy. Supported by the National Science Foundation under the grant DMS and by the Summer Research Fellowship of the University of Missouri. Supported by the National Science Foundation under the grant DMS Supported by the University of Missouri Research Board. 1
2 2 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH metric space (see also [6, 7, 26]). An impressive list of possible applications can be found in [8, 14, 15, 16, 48]. In this paper we consider strongly continuous linear skew-product semiflows on bundles with Banach fibers over a locally compact metric space. Our philosophy is not to start with a pointwise construction of stable and unstable foliations (as in [50, 8, 9, 28, 46, 48]), but instead to begin by associating with the linear skew-product flow an evolutionary semigroup of operators, {T t } t 0, on the space of continuous sections of the bundle. We prove two facts concerning the spectrum of this semigroup that relate its spectral properties to the asymptotic properties of the linear skew-product flow. The first of these facts is the Spectral Mapping Theorem (Theorem 3.3) for {T t } t 0 and its generator Γ, e tσ(γ) = σ(t t )\{0}, t > 0, while the second concerns the description of the spectral projections (Theorem 4.1). As a result of this approach, we not only answer questions concerning LSPFs, but also address the theory of evolutionary semigroups associated with strongly continuous evolutionary families as studied in the theory of nonautonomous Cauchy problems and the general theory of C 0 semigroups (see [12, 13, 18, 27, 33, 36, 42]). Consequently, classical theorems on the exponential dichotomy of differential equations (see, e.g., [11, 31]) can easily be extended to the case concerning differential equations with unbounded coefficients. Some of the results appearing here were announced in [23]. The connection between evolutionary semigroups and the dichotomy of LSPFs is not new. In one of the first papers in this direction, J. Mather [30] proved that the LSPF generated by the differential of a diffeomorphism of a smooth manifold is Anosov (i.e., is hyperbolic or, in the terminology of the present paper, exponentially dichotomic) if and only if the corresponding evolutionary operator is hyperbolic (it s spectrum does not intersect the unit circle). This led to the notion of the Mather spectrum M := σ(t ). Here T = T 1 and σ( ) denotes the usual spectrum of an operator. This notion is widely used in the theory of hyperbolic dynamical systems (see [40] for further references). The articles [4, 19] proved the spectral mapping theorem for evolutionary semigroups in the finite dimensional setting, and they described the
3 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 3 spectral subbundles of these operators via the spectral subbundles of the corresponding LSPF. Moreover, they related the spectrum of Γ to the dynamical spectrum, Σ, of the LSPF, as defined by R. Sacker and G. Sell in [47]. In the present paper we proceed in the opposite direction: we derive the existence of spectral subbundles from the existence, and description, of the Riesz projections corresponding to T ; the properties of Σ are described via the spectrum of the generator, σ(γ). These techniques build upon those used in [1] which addresses the finite dimensional setting and uses some C -algebraic methods. These methods were also used in [25] to prove the results for a uniformly continuous cocycle on a Hilbert space. The results have recently been generalized in [43] to the case involving a strongly continuous cocycle on a compact metric space with Banach fibers. The important articles [43, 44, 45] linked this theory with the theory of evolutionary semigroups associated with strongly continuous evolutionary families (as initiated and developed in [12, 13, 18, 27, 36]). As we will see below, the latter situation corresponds to a LSPF over the translations of R; the evolutionary family can be thought of as the propagator of a well-posed differential equation on a Banach space [33, 34, 51]. For this situation, in the Banach space setting, the Spectral Mapping Theorem has been proven in [22, 23] (see [17],[33] and [39] for a general discussion on this theorem) and the Spectral Projection Theorem in [22, 23, 24, 42, 44, 45]. The Spectral Mapping Theorem appearing in the present paper applies to any evolutionary semigroup associated with a LSPF over a nonperiodic flow on a locally compact space, Θ, but it also provides a new proof for semigroups arising from evolutionary families, i.e., when Θ = R and the flow is translation on R. In fact, the same idea applies to evolutionary semigroups in the space of divergence-free sections of a bundle a situation which is important for applications to hydromagnetodynamics [5]. Our proof of the Spectral Projection Theorem for LSPFs also differs from that in [43]. Here, we extend the algebraic technique used in [1, 25] (for Hilbert spaces) so that it applies in the general setting of Banach spaces. One advantage to this approach is that we are able to discuss the case of discrete time t Z and pointwise dichotomies (see Section 5; cf. [8]).
4 4 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH We now make the previous discussion more explicit by establishing some notation and outlining the main results. For t R, let ϕ t be a continuous flow on a locally compact metric space Θ. Throughout the paper, the aperiodic trajectories of the flow are assumed to be dense in Θ. Let X be a Banach space and let L s (X) be the space of bounded linear operators on X endowed strong-operator topology. Let Φ : Θ R + L s (X) be a continuous (semi)cocycle over ϕ t. Since Θ is locally compact, we will allow Φ to grow at infinity not faster then exponentially. The linear skew-product (semi)flow ˆϕ t is defined by the following formula (see Section 2) ˆϕ t : Θ X Θ X, (θ, x) (ϕ t θ, Φ(θ, t)x). Example 1.1. As a very particular example, which will be referred as the norm continuous compact setting, assume Θ is compact and A: Θ L(X) is a continuous operator-valued function. Then, for each θ Θ, the operator Φ(θ, t) can be thought of as a solving operator for the variational equation dx dt = A(ϕt θ)x(t), θ Θ, t R. (1.1) Here, Φ is uniformly continuous and takes invertible values in L(X). Example 1.2. As another example (see also [10]), which will be referred to as the norm continuous line setting, assume Θ = R, and let A: R L(X) be a bounded, continuous operator-valued function. Let {U(τ, s)} τ s be the propagator of the nonautonomous differential equation dx = A(t)x(t), t R; (1.2) dt that is, the solution x( ) of (1.2) satisfies x(τ) = U(τ, s)x(s). This can be related to the previous example by defining Φ(θ, t) = U(θ + t, θ) and identifying the flow as translation, ϕ t θ = θ + t for θ Θ = R and t R. Since the propagator U satisfies [11] the identity U(τ, s) = U(τ, r)u(r, s), for τ r s, and U(s, s) = I, Φ is a cocycle over ϕ t. These two examples show (see also [10]) how both the variational equation (1.1) and the nonautonomous equation (1.2) can be addressed in terms of linear skew-product flows on a locally compact metric space. We stress that the strongly continuous setting considered in the present paper (as opposed to the norm continuous situation described above)
5 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 5 allows one to study the equations (1.1) and (1.2) even in the situation where the operators given by A( ) are unbounded. Given a LSPF ˆϕ t, we associate to it a semigroup {T t } t 0 of evolutionary operators defined on C 0 (Θ, X), the space of strongly continuous functions vanishing at infinity (with the sup-norm), by (T t f)(θ) = Φ(ϕ t θ, t)f(ϕ t θ), θ Θ, f C 0 (Θ, X). The generator of such a semigroup will be denoted by Γ. For the line setting this semigroup becomes a well-known [12, 13, 18, 27, 34, 36, 44, 45] evolutionary semigroup: (T t f)(τ) = U(τ, τ t)f(τ t), τ R, f C 0 (R, X). The generator, Γ, of the evolutionary semigroups arising in the norm continuous setting of examples 1.1 and 1.2 can be expressed, respectively, as (Γf)(θ) = d dt f ϕt (θ) +A(θ)f(θ), and (Γf)(τ) = df t=0 dτ +A(τ)f(τ). A discussion on the delicate question about when these formulas hold for the strongly continuous setting can be found in [34, 35]. If, for the line setting, A 0 A(τ) generates a C 0 semigroup {e ta 0 } t 0, then (T t f)(τ) = e ta 0 f(τ t) and Γ is the closure of d/dt + A 0. If Φ is the differential of a diffeomorphism on a smooth manifold Θ, then T t is the push-forward operator and Γ is the Lie derivative. In Section 3, for the strongly continuous locally compact setting, we prove the following theorem. Spectral Mapping Theorem. The spectrum σ(γ) is invariant with respect to translations along the imaginary axis, and the spectrum σ(t t ), t > 0, is invariant with respect to rotations centered at origin. Moreover, σ(t t )\{0} = e tσ(γ). The proof of this theorem develops some ideas from [30] on localization of almost-eigenfunctions for evolutionary operators. In Section 4 we discuss exponentially dichotomic LSPFs. The terminology exponential dichotomy, as in [8] (see also [15, 16, 28, 48]), refers to the existence of a strongly continuous, bounded projectionvalued function P : Θ L s (X). This P ( ) defines a ˆϕ t -invariant splitting Θ X = X P + X Q with uniform exponential decay of Φ P on X P
6 6 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH and of Φ 1 Q on X Q, Q := I P. The subscripts here denote the restrictions of the LSPF; since we do not assume that Φ is invertible, the existence of Φ 1 Q is part of the definition of exponential dichotomy. The main result in Section 4 is the following theorem where an operator T is called hyperbolic if σ(t ) T =. If T is hyperbolic, its Riesz projection corresponding to σ(t ) D is denoted by P. (Here, T and D denote the unit circle and unit disk in C.) Spectral Projection Theorem. Assume T is hyperbolic. Then its Riesz projection, P, is an operator of multiplication. That is, if f C 0 (Θ, X), then (Pf)(θ) = P (θ)f(θ) for some strongly continuous bounded projection-valued function P ( ): Θ L s (X). We use this theorem to show that the LSPF ˆϕ t has exponential dichotomy with P ( ) if and only if T is hyperbolic, and we relate P ( ) with the Riesz projection for T, as above. The related result for compact Θ was proved in [43] (see also [42, 44, 45] for Θ = R), where a quite different method is used. We stress that our method also works for discrete time t Z, that is, when ϕ is a homeomorphism, and Φ : Θ Z L s (X). For continuous time, t R, together with the Spectral Mapping Theorem, this shows that the LSPF ˆϕ t has exponential dichotomy with P ( ) if and only if Γ is invertible. This generalizes some results in [3, 37]. In particular (see [22, 23]), for Θ = R and A(τ) A 0 this shows that the growth bound for any C 0 semigroup {e ta 0 } t 0 on X coincides with the spectral bound for d/dt + A 0 on C 0 (R, X). A similar fact (see [22]) for L p -spaces can be used in a variety of contexts (cf. [32, 52]). Our method of proof exploits the invertibility properties of a particular Banach algebra of weighted translation operators on C 0 (Θ, X). To prove the Spectral Projection Theorem, we consider for each θ Θ a weighted shift operator, π θ (T ), acting on the space l (Z, X) and given by the diagonal matrix: π θ (T ) = diag{φ(ϕ n 1 θ, 1)} n Z S; here, S denotes the shift operator on l (Z, X): (x n ) n Z (x n 1 ) n Z. The hyperbolicity of π θ (T ) is equivalent to the existence of the discrete exponential dichotomy for ˆϕ t along the trajectory through θ. These operators were, in fact, introduced in [16] for the line setting, and in
7 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 7 [1, 8, 25] for the compact setting. A byproduct of our approach is the following theorem. Pointwise Dichotomy Theorem. The LSPF ˆϕ t has exponential dichotomy on Θ if and only if π θ (T ) is hyperbolic for every θ Θ, and sup{ (λ π θ (T )) 1 : λ T, θ Θ} <. The theorems listed above help to unify a number of ideas concerning spectral properties of dynamical systems. Recall that the dynamical spectrum, Σ, for the LSPF ˆϕ t (see [47]) is the set of all λ R such that the LSPF, ˆϕ t λ, corresponding to the cocycle e λt Φ(θ, t) does not have exponential dichotomy. The Bohl spectrum, B, for equation (1.1) is the set of λ R such that the equation x = [A(τ) λ]x does not have exponential dichotomy (see [11]). Using the above theorems, one can relate all of these sets (in the general strongly continuous, locally compact setting) as follows: Σ = B = ln M = σ(γ) R = ln σ(t ) \ {0}. (1.3) Finally, consider an autonomous equation x (t) = A 0 x(t), t R, where A 0 generates a C 0 semigroup, {e ta 0 } t 0. Assume, in addition, that the spectral mapping theorem is valid for {e ta 0 } t 0. This happens, e.g., if A 0 is a sectorial operator (see [33] for a detailed discussion). Then each of the sets in (1.3) coincides with {z + iξ : z σ(a 0 ), ξ R} R. If X is a Hilbert space and A 0 is self-adjoint, then the last set is just σ(a 0 ). This shows that for abstract Cauchy problems for nonautonomous differential equations and for LSPFs in Banach spaces, the spectrum of Γ should play the same role as the spectrum of A 0 for autonomous equations. In Section 5 we give several consequences of the results mentioned above. The list of these topics includes: roughness of the dichotomy, dichotomy and solutions of nonhomogenious equations (1.1) (1.2), Green s function for a LSPF, pointwise dichotomy versus global dichotomy, and evolutionary semigroups along trajectories of the flow. The paper concludes by listing several open problems. The following notation is used throughout the paper: Θ denotes a locally compact metric space; for θ Θ and δ > 0, B(θ, δ) denotes an open ball of radius δ centered at θ. For any Banach space X, L(X) denotes the space of bounded linear operators on X, and L s (X) denotes
8 8 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH this space endowed with the strong-operator topology. For any operator A on X, its domain is denoted by D(A) and its spectrum by σ(a). In C, let T = {z : z = 1}, and D = {z : z 1}. For a set of operators d (n), n Z, in L(X), diag{d (n) } n Z acts on l (Z, X) as the infinite matrix consisting of diagonal entries d (n). For a projection P (or P, or a projection-valued function P ( )), we use the letter Q (respectively, Q, Q( )) to denote the complementary projection: Q = I P. 2. Evolutionary Semigroups: Preliminaries 2.1. Evolutionary semigroups. Let ϕ t be a continuous flow on Θ, and let Φ: Θ R + L(X) be a strongly continuous, exponentially bounded cocycle over ϕ t. That is, we assume the function (θ, t) Φ(θ, t)x to be continuous from Θ R + to X for each x X, and there exist C, ω > 0 such that for every θ Θ, a) Φ(θ, t + s) = Φ(ϕ t θ, s)φ(θ, t) for t, s > 0; b) Φ(θ, 0) = I; c) Φ(θ, t) L(X) Ce ωt for all t R +. Note that the operators Φ(θ, t) are not assumed to be invertible. The last inequality holds automatically if Θ is compact. The linear skew-product flow (LSPF) associated with Φ is the map ˆϕ t : Θ X Θ X, ˆϕ t (θ, x) = (ϕ t θ, Φ(θ, t)x), t 0. (2.1) We note that for exponentially bounded cocycles, the map ˆϕ t is continuous if and only if the corresponding cocycle is strongly continuous. To a cocycle Φ over a flow ϕ t, one can associate the family of operators {T t } t 0 in B(C 0 (Θ, X)) defined by (T t f)(θ) = Φ(ϕ t θ, t)f(ϕ t θ), θ Θ, f C 0 (Θ, X). (2.2) It s easy to check that this defines a semigroup of operators: T t+s = T t T s, T 0 = I. As noted below, this evolutionary semigroup is a strongly continuous semigroup on C 0 (Θ, X) if and only if Φ is a strongly continuous, exponentially bounded cocycle. The generator will be denoted by Γ.
9 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 9 Theorem 2.1. {T t } t 0, as defined in (2.2), is a C 0 semigroup on C 0 (Θ, X) if and only if Φ is an exponentially bounded, strongly continuous cocycle. Proof. If Φ is a strongly continuous cocycle with Φ(θ, t) Ce ωt for some C, ω > 0, then {T t } t 0 can be seen to be strongly continuous as in [25] or [43]. Conversely, assume {T t } t 0 is a C 0 semigroup. Clearly, Φ is exponentially bounded. Fix θ 0 Θ, t 0 R, and x X. Let ɛ > 0. For θ Θ, and t R, consider Φ(θ, t)x Φ(θ 0, t 0 )x Φ(θ 0, t)x Φ(θ 0, t)x + Φ(θ 0, t)x Φ(ϕ t t 0 θ 0, t 0 )x + Φ(ϕ t t 0 θ 0, t 0 )x Φ(θ 0, t 0 )x. (2.3) Let D be a compact set in Θ containing θ 0 in its interior. Choose α: Θ [0, 1] with compact support such that α(θ) = 1 for all θ D. Define f C 0 (Θ, X) as f(θ) = α(θ)x, and note that for θ D and t R, Φ(θ, t)x = (T t f)(ϕ t θ). First consider the middle term on the right-hand side of (2.3) and choose δ 1 > 0 such that ϕ t t 0 θ 0 D for all t t 0 < δ 1. Choose δ 2 (0, δ 1 ] such that t t 0 < δ 2 implies T t f T t 0 f ɛ/3. Then for t t 0 < δ 2, Φ(θ 0, t)x Φ(ϕ t t 0 θ 0, t 0 )x = (T t f)(ϕ t θ 0 ) (T t 0 f)(ϕ t 0 (ϕ t t 0 θ 0 )) = (T t f)(ϕ t θ 0 ) (T t 0 f)(ϕ t θ 0 ) sup T t f(θ) T t 0 f(θ) < ɛ/3. θ Θ Secondly, since T t f is continuous, there exists δ > 0 such that d(θ 1, θ 2 ) < δ implies T t 0 f(θ 1 ) T t 0 f(θ 2 ) < ɛ/3. Since t ϕ t θ 0 is continuous, there exists δ 3 (0, δ 2 ] such that t t 0 < δ 3 implies d(ϕ t θ 0, ϕ t 0 θ 0 ) < δ. Then, t t 0 < δ 3 implies Φ(ϕ t t 0 θ 0, t 0 )x Φ(θ 0, t 0 )x = T t 0 f(ϕ t 0 (ϕ t t 0 θ 0 )) T t 0 f(ϕ t 0 θ 0 ) = T t 0 f(ϕ t θ 0 ) T t 0 f(ϕ t 0 θ 0 ) < ɛ/3. Finally, choose δ > 0 so that B(θ 0, δ ) D, and θ B(θ 0, δ ) implies (T t f)(ϕ t θ) (T t f)(ϕ t θ 0 ) < ɛ/3.
10 10 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH We note that δ = δ (t) depends on t, but on the compact interval [t 0 δ 3, t 0 + δ 3 ], the map t T t f(ϕ t ) is uniformly continuous, so δ may be chosen independent of t. Therefore, if t t 0 < δ 3 and θ B(θ 0, δ ), then (2.3) shows that Φ(θ, t)x Φ(θ 0, t 0 )x < ɛ Examples. We give several examples of cocycles and corresponding evolutionary semigroups. Example 2.2. Norm continuous compact setting. Let ϕ t be a continuous flow on a compact metric space Θ, and let A: Θ L(X) be (norm) continuous. For each θ Θ consider the equation dx dt = A(ϕt θ)x(t), θ Θ, t R. (2.4) Let Φ(θ, t), t R, be the solving operator for (2.4): x(t) = Φ(θ, t)x(0). Then Φ is a cocycle and A(θ) = d dt t=0 Φ(θ, t). Denote (df)(θ) = d dt f ϕt (θ). The generator Γ of the group (2.2) is given as follows: t=0 (Γf)(θ) = (df)(θ) + A(θ)f(θ), (2.5) and its domain D(Γ) is, in this case, D(Γ) = {f C 0 (Θ, X) : df C 0 (Θ, X)}. Equations of the type (2.4) arise from two sources. Firstly, they can be thought of as a linearization of a nonlinear equation in X in the vicinity of a compact invariant set Θ for the nonlinear equation. Secondly, Θ might be a compact hull, Θ = closure{a( + τ) : τ R}, of a given function a: R L(X) (see [14, 46]). Example 2.3. Strongly continuous compact setting. We now allow the operators A(θ) in (2.4) to be unbounded. A strongly continuous (semi)cocycle Φ is said to solve (2.4) if: For every θ Θ and every x θ D(A(θ)) the function t x(t) := Φ(θ, t)x θ is differentiable for t > 0, x(t) D(A(ϕ t θ)), and x( ) satisfies (2.4). By Theorem 2.1 the cocycle generates an evolutionary semigroup given by (2.2). This setting might occur if, after the linearization of a nonlinear equation in X, the Frechet derivative A(θ) is an unbounded operator. Numerous examples of this strongly continuous setting can be found in [8].
11 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 11 Example 2.4. To be more specific, in the setting of Example 2.3, assume A(θ) A 0, θ Θ, where A 0 generates a C 0 semigroup {e ta 0 } t 0 on X. The cocycle Φ for (2.4) is Φ(θ, t) = e ta 0. In the tensor product C 0 (Θ, X) = C 0 (Θ, R) X one can express the evolutionary semigroup defined in (2.2) by T t = V t e ta 0, where V t f := f ϕ t. Then (see, e.g., [33, p. 23]) the generator Γ 0 of {T t } t 0 is the closure of the operator Γ 0f = df + A 0 f with D(Γ 0) = {f C 0 (Θ, X) : df C 0 (Θ, X), f : Θ D(A 0 ), df A 0 f C 0 (Θ, X)}. Example 2.5. Suppose, in the setting of Example 2.3, that A(θ) = A 0 + A 1 (θ), θ Θ, (2.6) where A 0 is a generator of a C 0 semigroup {e ta 0 } t 0 on X and A 1 : Θ L s (X) is (strongly) continuous and bounded on Θ. Note that A 1 ( ) defines an operator A 1 B(C 0 (Θ, X)) by the rule (A 1 f)(θ) = A 1 (θ)f(θ). For Γ 0 as in Example 2.4 we have: Proposition 2.6. Assume that there exists a strongly continuous cocycle Φ that solves (2.4) with A( ) as in (2.6). Then the generator Γ of the evolutionary semigroup (2.2) is given by (Γf)(θ) = (df)(θ) + A 0 f(θ) + A 1 (θ)f(θ), D(Γ) = D(Γ 0 ). (2.7) Proof. Since Φ defines a classical solution of (2.4) (2.6), Φ also is a mild solution of (2.4), that is, Φ satisfies Φ(θ, t)x = e ta 0 x + t 0 e (t τ)a 0 A 1 (ϕ τ θ)φ(θ, τ)x dτ, (2.8) for x X, θ Θ, t 0. (We point out the interesting Theorem 5.1 in [10] where the existence of a mild solution Φ was proved for any equations (2.4) (2.6).) Since Γ 0 generates a C 0 semigroup, and A 1 B(C 0 (Θ, X)), the operator Γ = Γ 0 +A 1 also generates (see, e.g., [39, p. 77]) a C 0 semigroup, {S t } t 0, which is the unique solution of the integral equation S t f = e tγ 0 f + t 0 e (t τ)γ 0 A 1 S τ f dτ, f C 0 (Θ, X), t 0. (2.9)
12 12 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH We show that S t = T t. Indeed, for f C 0 (Θ, X) define g = t Then (2.8) implies g(θ) = t 0 e (t τ)a 0 A 1 (ϕ τ (ϕ t θ))φ(ϕ t θ, τ)f(ϕ t θ) dτ = Φ(ϕ t θ, t)f(ϕ t θ) e ta 0 f(ϕ t θ) = (T t f)(θ) ( e tγ 0 f ) (θ). 0 e (t τ)γ 0 A 1 T τ f dτ. Therefore, {T t } t 0 satisfies (2.9), and so T t = S t. The generator, Γ = Γ 0 + A 1, of this semigroup is given by (2.7). Example 2.7. Norm continuous line setting. Let Θ = R, and assume A: R L(X) is a bounded continuous function. Let U(τ, s), τ, s R, denote the propagator for the equation dx = A(t)x(t), t R. (2.10) dt This means that the solution x( ) of (2.10) satisfies x(τ) = U(τ, s)x(s). Denote ϕ t (τ) = τ + t and Φ(τ, t) = U(τ + t, τ), for τ, t R (cf. [10]). Then Φ is a cocycle. In this case, the group (2.2) is given by (T t f)(τ) = U(τ, τ t)f(τ t), f C 0 (R, X), and the generator Γ is given by the formula: (Γf)(τ) = df dτ +A(τ)f(τ), D(Γ) = {f C 0(R, X) : f C 0 (R, X)}. Example 2.8. Strongly continuous line setting. In the case of Θ = R, consider a well-posed differential equation (2.10) with, generally, unbounded operators A(τ). Let {U(t, s)} t s be the associated strongly continuous evolutionary family of operators in L(X). This means that (τ, s) U(τ, s)x is continuous for each x X, U(τ, s) = U(τ, r)u(r, s) for τ r s, U(s, s) = I, and U(τ, s) Ce ω(τ s) for some C, ω > 0. The flow ϕ t, the cocycle Φ, and the evolutionary semigroup can be defined exactly as in the previous example. If, in particular, A(τ) A 0 is a generator of a C 0 semigroup {e ta 0 } t 0 on X, then U(τ, s) = e (τ s)a 0, and Γ is the closure of Γ = d dt +A 0, D(Γ ) = {f C 0 (R, X) : f +A 0 f C 0 (R, X), f : R D(A 0 )}. For Θ = R consider now the case where each of the operators A(t), t R in (2.10) is an (unbounded) operator on X with dense domain.
13 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 13 For each t R, denote the domain of A(t) by D t := D(A(t)). Consider the following nonautonomous abstract Cauchy problem (cf. [34]): dx dt = A(t)x(t) for t s R, and x(s) = x s, (2.11) where x s D s, s R. We say (see [34]) that the evolutionary family {U(τ, s)} τ s solves (2.11) if x( ) = U(, s)x s is a unique solution of (2.11) for every x s D s, that is x( ) is differentiable, x(t) D t for t s, and (2.11) holds. Proposition 2.9. Assume that a strongly continuous evolutionary family {U(τ, s)} τ s solves (2.11). Then the generator Γ of the evolutionary semigroup (T t f)(τ) = U(τ, τ t)f(τ t) on C 0 (R, X) is the closure of the operator Γ, with domain consisting of differentiable functions f such that f(t) D t and Γ f C 0 (R, X), defined as follows: (Γ f)(τ) = df dτ + A(τ)f(τ), τ R. (2.12) Proof. Fix s R and x s D s. For any smooth α : R R with compact support supp α [s, ), consider a function f C 0 (R, X), defined by f(τ) = α(τ)u(τ, s)x s for τ > s and f(τ) = 0 for τ s. Then Γf = Γ f. Indeed (2.13) (T t f)(τ) = α(τ t)u(τ, τ t)u(τ t, s)x s = α(τ t)u(τ, s)x s for τ t > s, and zero otherwise. Hence, d dt (T t f)(τ) = α (τ)u(τ, s)x s, τ R. t=0 On the other hand, since τ U(τ, s)x s satisfies (2.11), one has: df dτ = α (τ)u(τ, s)x s +α(τ) d dτ U(τ, s)x s = α (τ)u(τ, s)x s +α(τ)a(τ)u(τ, s)x s. To finish the proof, we need to show that linear combinations of functions f, as in (2.13), are dense in C 0 (R, X). To see this, first observe that the set of finite sums β j v j with arbitrary v j X and smooth β j : R R with compact support, is dense in C 0 (R, X).
14 14 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Now, consider any function g = βv with fixed v X and smooth β : R R with compact support. We show that g can be approximated by a sum of functions f as in (2.13). To see that, fix ɛ > 0. For every τ 0 supp β, the map (τ, s) U(τ, s)v, τ s is continuous at the point (τ 0, τ 0 ) by the definition of {U(τ, s)}. Hence, there exist s 0 s 0 such that for the interval I 0 = I(τ 0 ) := (s 0, s 0), containing τ 0, one has U(τ, s 0 )v v ɛ/2 for τ I 0. Thus, we obtain an open covering of supp β, formed by I(τ 0 ), τ 0 supp β. Take a finite subcovering {I j } n j=1. For I j := (s j, s j), one has U(τ, s j )v v ɛ/2 for τ I j, j = 1,..., n. Consider a smooth partition of unity {γ j } n j=1 for {I j } n j=1, that is, smooth functions γ j : R [0, 1] such that n γ j (τ) = 1 for τ supp β, and supp γ j I j, j = 1,..., n. j=1 Since the D sj are dense in X, one can choose v j D sj such that v v j ɛ/2. Define the function n h(τ) := β(τ)γ j (τ)u(τ, s j )v j, τ R. j=1 Since supp γ j (s j, s j), the function h is a sum of functions f as in (2.13). Also, g(τ) h(τ) = n β(τ) n γ j (τ)v β(τ)γ j (τ)u(τ, s j )v j j=1 j=1 n n β(τ) γ j (τ) v v j + γ j (τ) v j U(τ, s j )v j j=1 ɛ max β(τ), τ and the proof is completed An algebra of weighted translation operators. In Section 4 we study the spectrum of T = T 1, that is, the invertibility of b = λi T. This operator belongs to an algebra, B, of weighted translation operators which we now define. Let C b (Θ; L s (X)) denote the set of strongly continuous and bounded functions a: Θ L s (X). For a C b (Θ, L s (X)), set a u := sup θ Θ a(θ) L(X). j=1
15 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 15 Such a function induces a multiplication operator on C 0 (Θ, X) defined by (M a f)(θ) = a(θ)f(θ). The mapping a M a is an isometry from the Banach space C b (Θ, L s (X)) to B(C 0 (Θ, X)) and so the operator M a will be denoted simply by a, its norm given by a = a B(C0 (Θ,X)) = a u. Let A denote the set of all such multiplication operators a = M a B(C 0 (Θ, X)). Now let ϕ = ϕ 1 be a homeomorphism on Θ. Denote by V the translation operator on C 0 (Θ, X) given by (V f)(θ) = f(ϕ 1 θ). Define B to be the set of all operators b B(C 0 (Θ, X)) such that b = a k V k, where a k A, and b 1 := a k <. (2.14) Proposition If the set of aperiodic points of ϕ is dense in Θ, then the representation (2.14) of an element b B is unique. Proof. This follows from the observation that for any polynomial b N = Nk= N a k V k in B(C 0 (Θ, X)), where a k A and N N, b N B(C0 (Θ,X)) a k B(C0 (Θ,X)), k N. (2.15) To prove (2.15), first note that by replacing b by bv k it suffices to consider only the case k = 0. Fix ɛ > 0. For a A, a B(C0 (Θ,X)) = sup sup θ Θ so there exists a nonperiodic point θ 0 of {ϕ t } t R, and a x X, x = 1, such that a 0 (θ 0 )x X a 0 B(C0 (Θ,X)) ɛ. x X =1 Choose δ > 0 such that for B = B(θ 0, δ), ϕ k (B) ϕ j (B) = for k j, k, j N. Choose a continuous function α : Θ [0, 1] such that α(θ 0 ) = 1 and α(θ) = 0 for θ / B. Define f C 0 (Θ, X) by α(ϕ k θ)x, if θ ϕ k (B), k N f(θ) = 0 otherwise. Then f C0 (Θ,X) = 1 and N b B(C0 (Θ,X)) bf C0 (Θ,X) = max a k (θ)α(ϕ k θ)x θ Θ k= N X = max max a k(θ)α(ϕ k θ)x X a 0 (θ 0 )x X θ Θ k N a 0 B(C0 (Θ,X)) ɛ. a(θ)x X,
16 16 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Proposition (B, 1 ) is a Banach algebra. Proof. The norm 1 is an algebra norm. To see that it is complete, consider a 1 -Cauchy sequence {b (n) } n=1 in B, b (n) = a (n) k V k. Set a k = 1 - lim m a(m) k, k Z. For every m, n in Z, a (m) k a (n) k b(m) b (n) 1. So a sequence ( a (m) k ) k Z l 1 (Z, R) converges to ( a k ) k Z in l 1 (Z, R). Hence b = k a k V k is an element of B. For every ɛ > 0 and for sufficiently large m, n, the inequality ɛ b (m) b (n) 1 = a (m) k a (n) k N k= N a (m) k a (n) k holds for every N N. Taking the limit as n, and then the limit as N shows b (m) b 1 0. In Section 4, we consider the relationship between the invertibility of a weighted translation operator b in B and a family of representations (weighted shift operators), π θ (b), in B(l (Z, X)). To define the representation π θ of B, denote by S the shift operator on l (Z, X): S : (x n ) n Z (x n 1 ) n Z, (x n ) n Z l (Z, X). For a A and θ Θ, let π θ (a) = diag{a(ϕ n θ)} n Z. Defining π θ (av ) = π θ (a)s gives a continuous homomorphism from B into B(l (Z, X)): for b = k a k S k in B, π θ (b) = π θ (a k )S k. (2.16) With this in mind, let C denote the set of operators in B(l (Z, X)) of the form d = diag{d (n) } n Z, where d (n) L(X), and consider the Banach algebra (D, 1 ) of operators on l (Z, X) of the form d = d k S k where d k C, and d 1 := d k B(l (Z,X)) <. The following lemma points out, in particular, that D is an inverseclosed subalgebra of B(l (Z, X)). The proof follows exactly as in Lemma 1.6 and Remark 1.7 of [24].
17 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 17 Proposition Let d(θ) = assume that d k (θ)s k be an operator in D, and sup d k (θ) B(l (Z,X)) <. θ Θ If d(θ) 1 B(l (Z, X))) for each θ Θ and if for some C > 0, sup d(θ) 1 B(l (Z,X)) < C, θ Θ then d(θ) 1 D for each θ Θ. Moreover, if d(θ) 1 = then sup c k (θ) B(l (Z,X)) <. θ Θ 3. Spectral Mapping Theorem In this section we prove that the spectral mapping property c k (θ)s k, e tσ(γ) = σ(t t )\{0}, t > 0, (3.1) holds for any evolutionary semigroup (2.2) with generator Γ. As usual, the nonperiodic points of {ϕ t } t R are assumed to be dense in Θ. For a general C 0 semigroup {T t } t 0 generated by an operator Γ, the spectral inclusion e tσ(γ) σ(t t )\{0} is well known, as are examples showing that the inclusion is, in general, proper. Moreover, equality holds for the point spectrum and residual spectrum [33], so to prove (3.1) we focus on the approximate point spectrum, σ ap ( ). By a standard rescaling technique [33], it suffices to consider only T = T 1. We build on the ideas of [30] and observe, in particular, that the ɛ-eigenfunctions of T obey the following localization principle: if 1 σ ap (T ), then for every N N, there exists a point θ 0 Θ, a function f C 0 (Θ, X) with f = 1, and an open neighborhood D of θ 0 such that supp f 2N j=0ϕ j (D) and T f f = O( 1 ). Using f, we N construct a function g C 0 (Θ, X) such that Γg = O( 1 ) g, hence N showing that 0 σ ap (Γ). Before beginning the proof of (3.1), we prove two technical lemmas which verify the existence of an appropriate f C 0 (Θ, X) and aid in the subsequent construction of g, as described above.
18 18 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Lemma 3.1. Let A L(X) and assume 1 σ ap (A). For each N 2, there exists x X, x = 1, such that a) A N x x X 1 8 ; b) A k x X 2 for k = 0, 1,..., 2N. Proof. Set c = 2N k=0 A k. From the identity A k I = (A k A + I)(A I), for k = 2,..., 2N, it follows that for any x X, (A k I)x c (A I)x, k = 0, 1,..., 2N. (3.2) Since 1 σ ap (A), there exists a x X, x = 1, such that (A I)x 1. Set k = N in (3.2) to obtain a). Moreover, (3.2) shows that for 8c k = 0, 1,..., 2N, A k x (A k I)x + x c (A I)x + 1 c 1 8c Now let θ 0 Θ be a nonperiodic point of ϕ t, and fix s (0, 1) and N 2. If B is a neighborhood of θ 0, then for θ Θ we use the notation R(θ) = {t R : t N, ϕ t x B}. Lebesgue measure on R will be denoted by m. Lemma 3.2. There exists a sufficiently small open neighborhood, B, of θ 0 and a continuous bump function α: Θ [0, 1] such that: a) α(ϕ t θ 0 ) = 1, for t s 4 ; b) α(ϕ t θ 0 ) = 0, for s t 2N; c) m(r(θ)) 2s, for all θ Θ. For the important case Θ = R with ϕ t θ = θ+t, this is trivial: for any θ 0 R take B = (θ 0 s, θ 0 + s), and α : R [0, 1] with supp α B and α(θ) = 1 for x (θ 0 s/4, θ 0 + s/4). Proof. We begin with: Claim 1. For sufficiently small ɛ > 0, and all ɛ ɛ, if δ < ɛ, then θ B := B(θ 0, δ) implies ϕ t θ / B provided s t 5N. 2 Proof of Claim 1. Suppose, to the contrary, that there exists a sequence δ n 0 such that for some θ n B n := B(θ 0, δ n ) and some t n with s t 2 n 5N, one has ϕ tn θ n B n. Passing to a subsequence, one can assume t n t for some t with s t 2 5N. Since the map (θ, t) ϕ t θ from Θ R to Θ is continuous at the point (θ 0, t ), and since θ n B n, it follows that θ n θ 0. Thus t n t implies
19 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 19 ϕ tn θ n ϕ t θ 0. On the other hand, ϕ tn θ n B n implies ϕ tn θ n θ 0, as t n t. But then ϕ t θ 0 = θ 0, which contradicts the assumption that θ 0 is a nonperiodic point of ϕ t. This proves Claim 1. Now let δ < ɛ, and set B = B(θ 0, δ) as in Claim 1. Choose an open neighborhood B of θ 0 such that B B. Denote: B := ϕ t (B ), C := ϕ t (B ). (3.3) t s 4 t s 4 Since C B, there exists a continuous α: Θ [0, 1] such that α(θ) = 1 for θ C, and α(θ) = 0 for θ / B. Note that since θ 0 B, it follows that {ϕ t θ 0 : t s } C and so 4 α(ϕ t θ 0 ) = 1 whenever t s. This proves a). 4 To prove b) we first prove Claim 2. If θ B and if s t 2N, then ϕ t θ / B. Proof of Claim 2. Suppose, to the contrary, that there exists a θ B and a t R satisfying s t 2N and ϕ t θ B. By the definition (3.3) of B, there exist θ 1 and θ 2 in B such that θ = ϕ t 1 θ 1 and ϕ t θ = ϕ t 2 θ 2, for some numbers t 1, t 2 with t 1, t 2 s. This implies 4 ϕ t +t 1 t 2 θ 1 B. (3.4) Note that and t + t 1 t 2 2N + s 4 + s 4 5N t + t 1 t 2 t t 1 t 2 s s 4 s 4 = s 2, and so (3.4) contradicts Claim 1. This proves Claim 2. Since, in particular, θ 0 B and α(θ) = 0 for θ / B, Claim 2 proves part b) of the lemma. To prove c), fix θ 1 Θ and denote the orbit by O(θ 1 ) = {ϕ t θ 1 : t N}. Clearly, m(r(θ 1 )) = 0 provided O(θ 1 ) B =, so consider the case O(θ 1 ) B. Fix any θ O(θ 1 ) B. Then θ = ϕ t 1 θ 1 for some t 1 with t 1 N. Further, for any t R(θ 1 ), one has t t 1 2N and ϕ t θ 1 = ϕ t t 1 θ B. (3.5)
20 20 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Since θ B, Claim 2 shows that (3.5) can only hold provided t t 1 < s, that is, t (t 1 s, t 1 + s). Since t was chosen arbitrarily in R(θ 1 ), this shows R(θ 1 ) (t 1 s, t 1 +s). Thus, m(r(θ 1 )) 2s. This completes the proof of the lemma. We now proceed with the proof of the Spectral Mapping Theorem. Theorem 3.3. Let Γ be the generator of the evolutionary semigroup (2.2). Then e tσ(γ) = σ(t t ) \ {0}, t > 0. (3.1) Moreover, the spectrum σ(γ) is invariant with respect to translations along the imaginary axis, and the spectrum σ(t t ), t > 0, is invariant with respect to rotations centered at origin. Proof. As noted in the beginning of this section, to prove (3.1) it suffices to show: 1 σ ap (T ) implies 0 σ ap (Γ). In fact, we show that σ ap (Γ) contains the entire imaginary axis whenever 1 σ ap (T ). Since σ ap (Γ) contains the boundary of σ(γ), all assertions of the theorem follow from this. Let 1 σ ap (T ), and let ξ R. We begin by using Lemma 3.1 with A = T to obtain, for any N 2, a function f C 0 (Θ, X) satisfying: (3.6a) f C0 (Θ,X) = 1; (3.6b) T N f f C0 (Θ,X) 1 8 ; (3.6c) T k f C0 (Θ,X) 2, for k = 0, 1,..., 2N. For this f, fix s (0, 1) such that and at the same time T t+n f T N f C0 (Θ,X) 1, for t s, (3.7) 16 e iξt 1 1, for t s. (3.8) 32 With the goal of constructing an approximate eigenfunction g, for Γ, corresponding to iξ, choose a smooth function γ : R [0, 1] such that: (3.9a) γ(t) = 0, for t / (0, 2N); (3.9b) γ (t) 2, for all t R; N (3.9c) γ(t) = 1, for t N s. Now fix θ 0 Θ, a nonperiodic point of ϕ t which satisfies f(θ 0 ) 7 8 f C 0 (Θ,X) = 7 8. (3.10)
21 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 21 Set θ N := ϕ N θ 0, and use Lemma 3.2 to obtain an open neighborhood, B, of θ N and a bump function α with the properties a) c) listed there. Define g C 0 (Θ, X) by g(θ) = e iξt γ(t)(t t αf)(θ) dt, θ Θ. (3.11) Note that due to (3.9a), the integration goes from 0 to 2N. Also, note that Γg = iξg e iξt γ (t)(t t αf) dt. Indeed, Γg = d T τ g = d e iξt γ(t)(t t+τ αf) dt dτ τ=0 dτ τ=0 = d e iξ(t τ) γ(t τ)(t t αf) dt dτ τ=0 [ = iξe iξt γ(t)(t t αf) e iξt γ (t)(t t αf) ] dt. We now proceed to show that Γg iξ = O( 1 ) g with the following two claims. N Claim 1. Set C := max T t L(X). Then Γg iξg C0 (Θ,X) 8Cs 0 t 1 N. Proof of Claim 1. First use (3.9a) and (3.9b) to obtain 2N Γg iξg = e iξt γ (t)α(ϕ t )T t f( ) dt Using (3.6c), note that 0 2 N max T t f max 0 t 2N x Θ 2N 0 α(ϕ t θ) dt. (3.12) max T t f max max T τ T k f 2C. (3.13) 0 t 2N 0 k 2N 0 τ 1 Also, the change of variable t t + N gives max x Θ 2N 0 α(ϕ t θ) dt = max x Θ N N α(ϕ t (ϕ N θ)) dt = max x Θ N N α(ϕ t θ) dt. Now, for fixed θ Θ, recall from Lemma 3.2 that the set R(θ) = {t R : t N, ϕ t θ B} has measure m(r(θ)) 2s. Consider t N; then α(ϕ t θ) 1 for t R(θ), and α(ϕ t θ) = 0 for t / R(θ), and so max θ Θ N N α(ϕ t θ) dt max θ Θ R(θ) dt 2s. (3.14)
22 22 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Using (3.13) and (3.14) in the inequality (3.12) gives This proves Claim 1. Claim 2. g C0 (Θ,X) Γg iξg 2 N s C 2s = 8Cs N. Proof of Claim 2. Recall θ N = ϕ N θ 0. Using (3.9a) and a change of variable t t + N gives: g(θ 0 ) = = 2N 0 N N e iξt γ(t)α(ϕ t θ 0 )(T t f)(θ 0 ) dt e iξ(t+n) γ(t + N)α(ϕ t θ N )(T t+n f)(θ 0 ) dt. And so, Lemma 3.2 b) and (3.9c) show that g(θ 0 ) = s s = e iξn s e iξ(t+n) γ(t + N)α(ϕ t θ N )(T t+n f)(θ 0 ) dt s = e iξn (I 1 + I 2 + I 3 ), where we have denoted for brevity: I 1 = f(θ 0 ) s s I 2 = (T N I)f(θ 0 ) I 3 = s s e iξt α(ϕ t θ N )(T t+n f)(θ 0 ) dt e iξt α(ϕ t θ N ) dt, s s e iξt α(ϕ t θ N ) dt, e iξt α(ϕ t θ N )[(T t+n T N )f](θ 0 ) dt. It follows from Lemma 3.2 a) (and recall 0 α(θ) 1), and (3.8) and (3.10) that s I 1 = f(θ 0 ) e iξt α(ϕ t θ N ) dt s ( s f(θ 0 ) α(ϕ t s ) θ N ) dt (e iξt 1)α(ϕ t θ N ) dt s s ( s 4 f(θ 0 ) α(ϕ t s θ s N ) dt (e iξt 1) ) dt s 4 ( s f(θ 0 ) 2 1 ) 32 2s 7 ( ) 7s = 49s
23 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 23 On the other hand, (3.6b) and (3.7) show that I 2 (T N s I)f e iξt α(ϕ t θ N ) dt 1 8 2s = s 4, I 3 As a result, s s s e iξt α(ϕ t θ 0 ) (T t+n T N )f dt s = s 8. g g(θ 0 ) = I 1 +I 2 +I 3 I 1 I 2 I 3 49s 128 s 4 s 8 = s 128. This proves Claim 2. Returning to the proof of the theorem, we combine Claim 1 with Claim 2 to obtain Γg iξg 8Cs N 8C N 128 g. Since N 2 was arbitrary, this shows iξ σ ap (Γ). 4. Exponential Dichotomy Let {T t } t 0 be an evolutionary semigroup (2.2). In this section, we relate the hyperbolicity of the weighted translation operator T = T 1 = av, where a(θ) = Φ(ϕ 1 θ, 1), to the exponential dichotomy of the LSPF ˆϕ t. One can assume in this section, that t Z. We also relate the hyperbolicity of T to the hyperbolicity of weighted shift operators π θ (T ), θ Θ. The representation π θ of B was introduced in Section 2 (see (2.16)). For each θ Θ, the weighted shift operator π θ (T ) acts on l (Z, X) by the rule π θ (T ) = diag{φ(ϕ n 1 θ, 1)} n Z S, where S : (x n ) n Z (x n 1 ) n Z. It is useful to make the observation that for k Z, π θ (T k ) = [π θ (T )] k = diag{φ(ϕ n k θ, k)} n Z S k = S k diag{φ(ϕ n θ, k)} n Z. (4.1) For x = (x n ) n Z, and ȳ = (y n ) n Z in l (Z, X), note that the equation [I π θ (T )] x = ȳ can be expressed componentwise as x n+1 Φ(ϕ n θ, 1)x n = y n+1, n Z. As seen in Section 5.4 (see also [25, Prop. 3.22]), the hyperbolicity of π θ (T ) is equivalent to the existence of exponential dichotomy for ˆϕ t along the orbit through θ, i.e., pointwise dichotomy (see [16, Theorem 7.6.5] and [8]).
24 24 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH We begin with the definition of exponential dichotomy on Θ (or global dichotomy [8, 9, 16, 15, 28, 48]). Definition 4.1. A linear skew product flow ˆϕ t has exponential dichotomy on Θ if there exists a continuous projection P : Θ L s (X) such that for θ Θ and t 0, a) P (ϕ t θ)φ(θ, t) = Φ(θ, t)p (θ); b) Φ Q (θ, t) is invertible from Im Q(θ) to Im Q(ϕ t θ); c) there exist constants M, β > 0 such that for t > 0 Φ P (θ, t) Me βt, [Φ Q (θ, t)] 1 Me βt. If a projection P : Θ L(X) and a cocycle Φ satisfy a), above, then Φ P (θ, t) and Φ Q (θ, t) will be used to denote the restrictions Φ(θ, t)p (θ): Im P (θ) Im P (ϕ t θ) and Φ(θ, t)q(θ): Im Q(θ) Im Q(ϕ t θ), respectively. The main result of this section follows. As usual, the set of nonperiodic points of ϕ t is assumed to be dense in Θ. Theorem 4.1. The following are equivalent: i) σ(t ) T = in C 0 (Θ, X); ii) σ(π θ (T )) T =, on l (Z, X), for all θ Θ and there exists a constant C > 0, such that [π θ (T ) λi] 1 B(l (Z,X)) C for all θ Θ, λ T; iii) The LSPF ˆϕ t has exponential dichotomy. (4.2) We note (see Remark 3 in Section 5.6) that condition (4.2) often follows automatically from σ(π θ (T )) T =, θ Θ. For results related to i) iii), see [42, 43, 44, 45] where a quite different method was used. We begin the proof of the theorem with an observation about the operators π θ (T ). Proposition 4.2. σ(π θ (T )) is invariant with respect to rotations centered at the origin. Moreover, for σ(π θ (T )) T =, [λ π θ (T )] 1 B(l (Z,X)) = [I π θ (T )] 1 B(l (Z,X)), λ T. Proof. For ω T, define Λ = diag{ω n } n Z. Then Λ is an invertible operator on l (Z, X), and Λπ θ (λ T )Λ 1 = λ ω diag{a(ϕ n θ)} n Z S = ω(ω 1 λ π θ (T )).
25 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 25 Hence, [λ π θ (T )] 1 = [ω 1 λ π θ (T )] 1 and the proposition follows. As a result, statement ii) in Theorem 4.1 can be replaced by the statement ii ) I π θ (T ) is invertible for all θ Θ, and there exists C > 0 such that [I π θ (T )] 1 B(l (Z,X)) C for all θ Θ. The proof of Theorem 4.1 will follow from a series of lemmas. The Proof of i) ii ) is given by the following lemma. Lemma 4.3. If b = I T is an invertible operator on C 0 (Θ, X), then π θ (b) is invertible on l (Z, X) for all θ Θ. Moreover, for all θ Θ. [π θ (b)] 1 B(l (Z,X)) b 1 B(C0 (Θ,X)) Proof. We first show that π θ (b) is injective, uniformly for θ Θ, by showing that for any x l (Z, X), π θ (b) x l (Z,X) ( b 1 B(C0 (Θ,X))) 1 x l (Z,X). (4.3) It suffices to prove (4.3) for finitely supported x = (x n ) N n= N. Let θ 0 Θ be a nonperiodic point of ϕ t. Let ɛ > 0. Since θ a(θ)x is continuous for all x X, there exists δ > 0 such that for B := B(θ 0, δ), θ B implies [a(θ 0 ) a(θ)]x n X < ɛ, for all n N. Moreover, δ can be chosen so that, in addition, ϕ n (B) ϕ k (B) = for all k n, n, k N. (4.4) Choose a continuous function α: Θ [0, 1] such that α(θ 0 ) = 1, and α(θ) = 0 for θ / B. Define f C 0 (Θ, X) by α(ϕ n θ)x n, if θ ϕ n (B), n N f(θ) = 0, otherwise. Since b 1 B(C 0 (Θ, X)), we have b 1 bf f C0 (Θ,X) = sup f(θ) X = x l (Z,X). θ Θ (4.5)
26 26 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Also, since f(ϕ 1 θ) = α(ϕ n θ)x n 1 for θ ϕ n (B), n N, and f(ϕ 1 θ) = 0 otherwise, we have bf C0 (Θ,X) = sup f(θ) a(θ)f(ϕ 1 θ) X θ Θ = sup sup α(ϕ n θ)x n a(θ)α(ϕ n θ)x n 1 X n N θ Θ sup sup x n a(ϕ n θ)x n 1 X n N θ Θ sup sup{ x n a(ϕ n θ 0 )x n 1 X + a(ϕ n θ 0 )x n 1 a(ϕ n θ)x n 1 X } n N θ Θ < π θ0 (b) x l (Z,X) + ɛ, using (4.4) in the last inequality. So, Combining (4.5) and (4.6) shows bf C0 (Θ,X) π θ0 (b) x l (Z,X). (4.6) π θ0 (b) x l (Z,X) bf C0 (Θ,X) 1 b 1 B(C0 (Θ,X)) x l (Z,X). We have shown that (4.3) holds for all nonperiodic points of ϕ t. If θ 0 is a periodic point of ϕ t, then choose a sequence of nonperiodic points {θ k } k=1 in Θ converging to θ 0. Since the map θ π θ (b) x is continuous, (4.3) holds, and hence π θ (b) is uniformly injective for all θ Θ. We now check that π θ (b) is surjective for all θ Θ. Let x l (Z, X). As before, consider x = (x n ) N n= N. First suppose θ 0 is a nonperiodic point of ϕ t. Define f C 0 (Θ, X) as above and note that since b is surjective, there exists a g C 0 (Θ, X) such that bg = f; that is, g(θ) a(θ)g(ϕ 1 θ) = f(θ) for all θ Θ. Substituting θ = ϕ n θ 0 into this equation and defining ȳ l (Z, X) by y n = g(ϕ n θ 0 ) for n N, gives π θ0 (b)ȳ = x. To address the case for which θ 0 is a periodic point of ϕ t, so that ϕ k θ 0 = θ 0 for some k Z, we begin with Case k = 1. Assume ϕθ 0 = θ 0. If T = av is hyperbolic on C 0 (Θ, X), then π θ0 (T ) = diag{a(θ 0 )} n Z S is hyperbolic on l (Z, X). Proof. By hypothesis, I av is surjective on C 0 (Θ, X), and so I a(θ 0 ) is surjective on X. Indeed, given x X, choose f C 0 (Θ, X) with f(θ 0 ) = x and then choose g C 0 (Θ, X) so that (I av )g = f; setting y = g(θ 0 ) gives (I a(θ 0 ))y = x. Therefore, a(θ 0 ) is hyperbolic
27 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 27 on X. As in Lemma 2.4 of [22], this implies that diag{a(θ 0 )} n Z S is hyperbolic on l (Z, X). Case k > 1. Assume ϕ k θ 0 = θ 0. If T is hyperbolic on C 0 (Θ, X), then π θ0 (T ) is hyperbolic on l (Z, X). Proof. By standard spectral properties, it suffices to consider hyperbolicity for T k. First note (see (4.1)) that π θ0 (T k ) = S k diag{φ(ϕ n θ 0, k)} n Z. This can be expressed as the operator Ŝ diag{d} n Z, on l (Z, X k ) l (Z, X), (4.7) where Ŝ, on l (Z, X k ), and d, on X k, are defined as x n+1 x n+k+1 Φ(θ 0, k). and d =... x n+k Φ(ϕ k 1 θ 0, k) n Z. x n+2k n Z As in Lemma 2.4 of [22], (4.7) is hyperbolic on l (Z, X k ) provided d is hyperbolic on X k. Therefore, it suffices to show that Φ(θ 0, k),..., Φ(ϕ k 1 θ 0, k) are hyperbolic on X. Applying Case k = 1 with φ := ϕ k and the representation π θ,φ : a diag{a(φ n θ)} n Z shows that π θ0,φ(t k ) = S k diag{φ(ϕ kn θ 0, k)} n Z = S k diag{φ(θ 0, k)} n Z is hyperbolic. As before, expressing this operator as Ŝ diag{φ(θ 0, k)} n Z on l (Z, X k ) and applying Lemma 2.4 of [22] shows that Φ(θ 0, k) is hyperbolic. This proves the case k > 1. Thus, the lemma is proved. The Proof of ii) i) requires showing that the invertibility of b in B can be derived from the invertibility of all its images π θ (b) in B(l (Z, X)). To do this, we consider the algebra D of operators in B(l (Z, X)) as defined in Section 2. The next lemma proves a slightly stronger statement than ii) i). Lemma 4.4. Let b = λi T. Assume π θ (b) is invertible in B(l (Z, X)) and that there exists a C > 0 such that [π θ (b)] 1 B(l (Z,X)) C for all θ Θ. Then b 1 exists and is an element of B.
28 28 Y. LATUSHKIN, S. MONTGOMERY-SMITH, AND T. RANDOLPH Proof. Let b = I T ; the proof remains the same for b = λi T, λ T. Using the notation of Proposition 2.12, set d(θ) := π θ (b) = I π θ (a)s. Since sup θ Θ a(θ) L(X) <, it follows that k sup θ Θ d k (θ) B(l (Z,X)) = 1 + sup π θ (a) B(l (Z,X)) <, θ Θ Conse- and hence d(θ) satisfies the conditions of Proposition quently, for each θ, π θ (b) = d(θ) has an inverse that is in D: [π θ (b)] 1 = c k (θ)s k, for some c k (θ) = diag{c (n) k (θ)} n Z in C, k Z. Moreover, since sup θ Θ π θ (b) B(l (Z,X)) C, Proposition 2.12, shows that sup c k (θ) B(l (Z,X)) <. θ Θ k The lemma is proved by showing that for each k Z, θ c (0) k (θ) is a continuous, bounded function from Θ L s(x), (4.8) (in the notation of Section 2, c (0) k A) and then showing that the operator r := c (0) k V k is in B and satisfies r = b 1. Let k Z, and fix x X and θ 0 Θ. Define x = (x n ) n Z in l (Z, X) by x n = x if n = k, and x n = 0 if n k. Then for any θ Θ, [c (0) k (θ) c(0) k (θ 0)]x X = [c (0) j (θ) c (0) j (θ 0 )]x j j= X sup [c (n) j (θ) c (n) j (θ 0 )]x n j n Z j= X = diag{c (n) j j= = [c j (θ) c j (θ 0 )]S j x j= = [π θ (b)] 1 [π θ0 (b) π θ (b)][π θ0 (b)] 1 x C [π θ0 (b) π θ (b)]ȳ l (Z,X), (θ) c (n) j (θ 0 )} n Z S j x l (Z,X) l (Z,X) l (Z,X)
29 EVOLUTIONARY SEMIGROUPS AND DICHOTOMY OF LSPF 29 where the last inequality comes from letting ȳ = [π θ0 (b)] 1 x and using the assumption [π θ (b)] 1 C. Since the map θ π θ (b)ȳ is continuous for any ȳ l (Z, X), c (0) k is continuous at θ 0. Moreover, note that c k (θ) = diag{c (n) k (θ)} n Z satisfies, for each n Z, the inequality c k (θ) B(l (Z,X)) c (n) k (θ) L(X). Therefore, k sup θ Θ c k (θ) B(l (Z,X)) < implies, in particular, that sup θ Θ c (0) k (θ) L(X) <, and so each c (0) k is bounded. Thus, (4.8) holds. Also, since c (0) k B(C 0 (Θ,X)) = sup θ Θ c (0) k (θ) L(X), it follows that c (0) k B(C 0 (Θ,X)) = sup θ Θ c (0) k (θ) L(X) Therefore, the operator r := c (0) k V k is in B. Now observe that c (n) k sup c k (θ) B(l (Z,X)) <. θ Θ (θ) = c(0) k (ϕn θ), n Z. (4.9) Indeed, for any n Z, π θ (a)s n = S n π ϕ n θ(a), and so Therefore, π ϕ n θ(b) = I diag{a(ϕ n+k θ)} k Z S = S n π θ (b)s n. [π ϕ n θ(b)] 1 = S n [π θ (b)] 1 S n = S n = On the other hand, [π ϕ n θ(b)] 1 = diag{c (i+n) k (θ)} i Z S k. c k (ϕ n θ)s k = diag{c (i) k (θ)} i ZS k S n diag{c (i) k (ϕn θ)} i Z S k, so (4.9) holds. As a consequence, rb = br = I. Indeed, using (4.9), π θ (r) = = π θ (c (0) k )Sk = diag{c (n) k (θ)} n ZS k = diag{c (0) k (ϕn θ)} n Z S k c k (θ)s k = [π θ (b)] 1.
EVOLUTION SEMIGROUPS, TRANSLATION ALGEBRAS, AND EXPONENTIAL DICHOTOMY OF COCYCLES
EVOLUTION SEMIGROUPS, TRANSLATION ALGEBRAS, AND EXPONENTIAL DICHOTOMY OF COCYCLES YURI LATUSHKIN AND ROLAND SCHNAUBELT Abstract. We study the exponential dichotomy of an exponentially bounded, strongly
More informationDISCRETE METHODS AND EXPONENTIAL DICHOTOMY OF SEMIGROUPS. 1. Introduction
Acta Math. Univ. Comenianae Vol. LXXIII, 2(2004), pp. 97 205 97 DISCRETE METHODS AND EXPONENTIAL DICHOTOMY OF SEMIGROUPS A. L. SASU Abstract. The aim of this paper is to characterize the uniform exponential
More information16 1 Basic Facts from Functional Analysis and Banach Lattices
16 1 Basic Facts from Functional Analysis and Banach Lattices 1.2.3 Banach Steinhaus Theorem Another fundamental theorem of functional analysis is the Banach Steinhaus theorem, or the Uniform Boundedness
More information1 Math 241A-B Homework Problem List for F2015 and W2016
1 Math 241A-B Homework Problem List for F2015 W2016 1.1 Homework 1. Due Wednesday, October 7, 2015 Notation 1.1 Let U be any set, g be a positive function on U, Y be a normed space. For any f : U Y let
More informationFUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES. 1. Compact Sets
FUNCTIONAL ANALYSIS LECTURE NOTES: COMPACT SETS AND FINITE-DIMENSIONAL SPACES CHRISTOPHER HEIL 1. Compact Sets Definition 1.1 (Compact and Totally Bounded Sets). Let X be a metric space, and let E X be
More informationStabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints
Stabilization of Distributed Parameter Systems by State Feedback with Positivity Constraints Joseph Winkin Namur Center of Complex Systems (naxys) and Dept. of Mathematics, University of Namur, Belgium
More informationProblem Set 2: Solutions Math 201A: Fall 2016
Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that
More informationFunctional Analysis. Franck Sueur Metric spaces Definitions Completeness Compactness Separability...
Functional Analysis Franck Sueur 2018-2019 Contents 1 Metric spaces 1 1.1 Definitions........................................ 1 1.2 Completeness...................................... 3 1.3 Compactness......................................
More informationOn (h, k) trichotomy for skew-evolution semiflows in Banach spaces
Stud. Univ. Babeş-Bolyai Math. 56(2011), No. 4, 147 156 On (h, k) trichotomy for skew-evolution semiflows in Banach spaces Codruţa Stoica and Mihail Megan Abstract. In this paper we define the notion of
More informationCompact operators on Banach spaces
Compact operators on Banach spaces Jordan Bell jordan.bell@gmail.com Department of Mathematics, University of Toronto November 12, 2017 1 Introduction In this note I prove several things about compact
More informationBanach Spaces V: A Closer Look at the w- and the w -Topologies
BS V c Gabriel Nagy Banach Spaces V: A Closer Look at the w- and the w -Topologies Notes from the Functional Analysis Course (Fall 07 - Spring 08) In this section we discuss two important, but highly non-trivial,
More informationLocally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem
56 Chapter 7 Locally convex spaces, the hyperplane separation theorem, and the Krein-Milman theorem Recall that C(X) is not a normed linear space when X is not compact. On the other hand we could use semi
More informationTopological properties
CHAPTER 4 Topological properties 1. Connectedness Definitions and examples Basic properties Connected components Connected versus path connected, again 2. Compactness Definition and first examples Topological
More informationChapter 2 Metric Spaces
Chapter 2 Metric Spaces The purpose of this chapter is to present a summary of some basic properties of metric and topological spaces that play an important role in the main body of the book. 2.1 Metrics
More informationStability of an abstract wave equation with delay and a Kelvin Voigt damping
Stability of an abstract wave equation with delay and a Kelvin Voigt damping University of Monastir/UPSAY/LMV-UVSQ Joint work with Serge Nicaise and Cristina Pignotti Outline 1 Problem The idea Stability
More informationTWO DEFINITIONS OF EXPONENTIAL DICHOTOMY FOR SKEW-PRODUCT SEMIFLOW IN BANACH SPACES
PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 124, Number 4, April 1996 TWO DEFINITIONS OF EXPONENTIAL DICHOTOMY FOR SKEW-PRODUCT SEMIFLOW IN BANACH SPACES SHUI-NEE CHOW AND HUGO LEIVA (Communicated
More informationExponential stability of families of linear delay systems
Exponential stability of families of linear delay systems F. Wirth Zentrum für Technomathematik Universität Bremen 28334 Bremen, Germany fabian@math.uni-bremen.de Keywords: Abstract Stability, delay systems,
More informationNOTES ON LINEAR ODES
NOTES ON LINEAR ODES JONATHAN LUK We can now use all the discussions we had on linear algebra to study linear ODEs Most of this material appears in the textbook in 21, 22, 23, 26 As always, this is a preliminary
More informationSpectral Mapping Theorem
Spectral Mapping Theorem Dan Sievewright Definition of a Hilbert space Let H be a Hilbert space over C. 1) H is a vector space over C. 2) H has an inner product, : H H C with the following properties.
More informationCESARO OPERATORS ON THE HARDY SPACES OF THE HALF-PLANE
CESARO OPERATORS ON THE HARDY SPACES OF THE HALF-PLANE ATHANASIOS G. ARVANITIDIS AND ARISTOMENIS G. SISKAKIS Abstract. In this article we study the Cesàro operator C(f)() = d, and its companion operator
More informationLECTURE 15: COMPLETENESS AND CONVEXITY
LECTURE 15: COMPLETENESS AND CONVEXITY 1. The Hopf-Rinow Theorem Recall that a Riemannian manifold (M, g) is called geodesically complete if the maximal defining interval of any geodesic is R. On the other
More informationWe denote the space of distributions on Ω by D ( Ω) 2.
Sep. 1 0, 008 Distributions Distributions are generalized functions. Some familiarity with the theory of distributions helps understanding of various function spaces which play important roles in the study
More informationChapter III. Stability of Linear Systems
1 Chapter III Stability of Linear Systems 1. Stability and state transition matrix 2. Time-varying (non-autonomous) systems 3. Time-invariant systems 1 STABILITY AND STATE TRANSITION MATRIX 2 In this chapter,
More informationSmooth Dynamics 2. Problem Set Nr. 1. Instructor: Submitted by: Prof. Wilkinson Clark Butler. University of Chicago Winter 2013
Smooth Dynamics 2 Problem Set Nr. 1 University of Chicago Winter 2013 Instructor: Submitted by: Prof. Wilkinson Clark Butler Problem 1 Let M be a Riemannian manifold with metric, and Levi-Civita connection.
More informationPart III. 10 Topological Space Basics. Topological Spaces
Part III 10 Topological Space Basics Topological Spaces Using the metric space results above as motivation we will axiomatize the notion of being an open set to more general settings. Definition 10.1.
More informationSOLUTIONS TO SOME PROBLEMS
23 FUNCTIONAL ANALYSIS Spring 23 SOLUTIONS TO SOME PROBLEMS Warning:These solutions may contain errors!! PREPARED BY SULEYMAN ULUSOY PROBLEM 1. Prove that a necessary and sufficient condition that the
More information1 Lyapunov theory of stability
M.Kawski, APM 581 Diff Equns Intro to Lyapunov theory. November 15, 29 1 1 Lyapunov theory of stability Introduction. Lyapunov s second (or direct) method provides tools for studying (asymptotic) stability
More information1.2 Fundamental Theorems of Functional Analysis
1.2 Fundamental Theorems of Functional Analysis 15 Indeed, h = ω ψ ωdx is continuous compactly supported with R hdx = 0 R and thus it has a unique compactly supported primitive. Hence fφ dx = f(ω ψ ωdy)dx
More informationINSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD
INSTANTON MODULI AND COMPACTIFICATION MATTHEW MAHOWALD () Instanton (definition) (2) ADHM construction (3) Compactification. Instantons.. Notation. Throughout this talk, we will use the following notation:
More information4 Countability axioms
4 COUNTABILITY AXIOMS 4 Countability axioms Definition 4.1. Let X be a topological space X is said to be first countable if for any x X, there is a countable basis for the neighborhoods of x. X is said
More informationTHE PERRON PROBLEM FOR C-SEMIGROUPS
Math. J. Okayama Univ. 46 (24), 141 151 THE PERRON PROBLEM FOR C-SEMIGROUPS Petre PREDA, Alin POGAN and Ciprian PREDA Abstract. Characterizations of Perron-type for the exponential stability of exponentially
More information7 Complete metric spaces and function spaces
7 Complete metric spaces and function spaces 7.1 Completeness Let (X, d) be a metric space. Definition 7.1. A sequence (x n ) n N in X is a Cauchy sequence if for any ɛ > 0, there is N N such that n, m
More informationCommutative Banach algebras 79
8. Commutative Banach algebras In this chapter, we analyze commutative Banach algebras in greater detail. So we always assume that xy = yx for all x, y A here. Definition 8.1. Let A be a (commutative)
More informationOn the dynamics of strongly tridiagonal competitive-cooperative system
On the dynamics of strongly tridiagonal competitive-cooperative system Chun Fang University of Helsinki International Conference on Advances on Fractals and Related Topics, Hong Kong December 14, 2012
More information1 Topology Definition of a topology Basis (Base) of a topology The subspace topology & the product topology on X Y 3
Index Page 1 Topology 2 1.1 Definition of a topology 2 1.2 Basis (Base) of a topology 2 1.3 The subspace topology & the product topology on X Y 3 1.4 Basic topology concepts: limit points, closed sets,
More informationSpectral theory for compact operators on Banach spaces
68 Chapter 9 Spectral theory for compact operators on Banach spaces Recall that a subset S of a metric space X is precompact if its closure is compact, or equivalently every sequence contains a Cauchy
More informationB. Appendix B. Topological vector spaces
B.1 B. Appendix B. Topological vector spaces B.1. Fréchet spaces. In this appendix we go through the definition of Fréchet spaces and their inductive limits, such as they are used for definitions of function
More informationAn introduction to Mathematical Theory of Control
An introduction to Mathematical Theory of Control Vasile Staicu University of Aveiro UNICA, May 2018 Vasile Staicu (University of Aveiro) An introduction to Mathematical Theory of Control UNICA, May 2018
More information2.1 Dynamical systems, phase flows, and differential equations
Chapter 2 Fundamental theorems 2.1 Dynamical systems, phase flows, and differential equations A dynamical system is a mathematical formalization of an evolutionary deterministic process. An evolutionary
More informationMATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5
MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5.. The Arzela-Ascoli Theorem.. The Riemann mapping theorem Let X be a metric space, and let F be a family of continuous complex-valued functions on X. We have
More informationHomework If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator.
Homework 3 1 If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator Solution: Assuming that the inverse of T were defined, then we will have to have that D(T 1
More informationConvergence Rate of Nonlinear Switched Systems
Convergence Rate of Nonlinear Switched Systems Philippe JOUAN and Saïd NACIRI arxiv:1511.01737v1 [math.oc] 5 Nov 2015 January 23, 2018 Abstract This paper is concerned with the convergence rate of the
More informationANALYTIC SEMIGROUPS AND APPLICATIONS. 1. Introduction
ANALYTIC SEMIGROUPS AND APPLICATIONS KELLER VANDEBOGERT. Introduction Consider a Banach space X and let f : D X and u : G X, where D and G are real intervals. A is a bounded or unbounded linear operator
More informationLECTURE 3 Functional spaces on manifolds
LECTURE 3 Functional spaces on manifolds The aim of this section is to introduce Sobolev spaces on manifolds (or on vector bundles over manifolds). These will be the Banach spaces of sections we were after
More informationRecall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm
Chapter 13 Radon Measures Recall that if X is a compact metric space, C(X), the space of continuous (real-valued) functions on X, is a Banach space with the norm (13.1) f = sup x X f(x). We want to identify
More informationPositive Stabilization of Infinite-Dimensional Linear Systems
Positive Stabilization of Infinite-Dimensional Linear Systems Joseph Winkin Namur Center of Complex Systems (NaXys) and Department of Mathematics, University of Namur, Belgium Joint work with Bouchra Abouzaid
More information56 4 Integration against rough paths
56 4 Integration against rough paths comes to the definition of a rough integral we typically take W = LV, W ; although other choices can be useful see e.g. remark 4.11. In the context of rough differential
More informationChapter 3: Baire category and open mapping theorems
MA3421 2016 17 Chapter 3: Baire category and open mapping theorems A number of the major results rely on completeness via the Baire category theorem. 3.1 The Baire category theorem 3.1.1 Definition. A
More informationSYNCHRONIZATION OF NONAUTONOMOUS DYNAMICAL SYSTEMS
Electronic Journal of Differential Equations, Vol. 003003, No. 39, pp. 1 10. ISSN: 107-6691. URL: http://ejde.math.swt.edu or http://ejde.math.unt.edu ftp ejde.math.swt.edu login: ftp SYNCHRONIZATION OF
More informationNon-degeneracy of perturbed solutions of semilinear partial differential equations
Non-degeneracy of perturbed solutions of semilinear partial differential equations Robert Magnus, Olivier Moschetta Abstract The equation u + F(V (εx, u = 0 is considered in R n. For small ε > 0 it is
More information1 )(y 0) {1}. Thus, the total count of points in (F 1 (y)) is equal to deg y0
1. Classification of 1-manifolds Theorem 1.1. Let M be a connected 1 manifold. Then M is diffeomorphic either to [0, 1], [0, 1), (0, 1), or S 1. We know that none of these four manifolds are not diffeomorphic
More informationCHAPTER X THE SPECTRAL THEOREM OF GELFAND
CHAPTER X THE SPECTRAL THEOREM OF GELFAND DEFINITION A Banach algebra is a complex Banach space A on which there is defined an associative multiplication for which: (1) x (y + z) = x y + x z and (y + z)
More informationFrom now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.
Chapter 1 Metric spaces 1.1 Metric and convergence We will begin with some basic concepts. Definition 1.1. (Metric space) Metric space is a set X, with a metric satisfying: 1. d(x, y) 0, d(x, y) = 0 x
More informationLeast Squares Based Self-Tuning Control Systems: Supplementary Notes
Least Squares Based Self-Tuning Control Systems: Supplementary Notes S. Garatti Dip. di Elettronica ed Informazione Politecnico di Milano, piazza L. da Vinci 32, 2133, Milan, Italy. Email: simone.garatti@polimi.it
More informationQUALIFYING EXAMINATION Harvard University Department of Mathematics Tuesday August 31, 2010 (Day 1)
QUALIFYING EXAMINATION Harvard University Department of Mathematics Tuesday August 31, 21 (Day 1) 1. (CA) Evaluate sin 2 x x 2 dx Solution. Let C be the curve on the complex plane from to +, which is along
More informationMath 6455 Nov 1, Differential Geometry I Fall 2006, Georgia Tech
Math 6455 Nov 1, 26 1 Differential Geometry I Fall 26, Georgia Tech Lecture Notes 14 Connections Suppose that we have a vector field X on a Riemannian manifold M. How can we measure how much X is changing
More informationChapter 6 Integral Transform Functional Calculi
Chapter 6 Integral Transform Functional Calculi In this chapter we continue our investigations from the previous one and encounter functional calculi associated with various semigroup representations.
More informationNotes on Distributions
Notes on Distributions Functional Analysis 1 Locally Convex Spaces Definition 1. A vector space (over R or C) is said to be a topological vector space (TVS) if it is a Hausdorff topological space and the
More information08a. Operators on Hilbert spaces. 1. Boundedness, continuity, operator norms
(February 24, 2017) 08a. Operators on Hilbert spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [This document is http://www.math.umn.edu/ garrett/m/real/notes 2016-17/08a-ops
More informationFunctional Analysis Exercise Class
Functional Analysis Exercise Class Week 2 November 6 November Deadline to hand in the homeworks: your exercise class on week 9 November 13 November Exercises (1) Let X be the following space of piecewise
More informationAnalysis in weighted spaces : preliminary version
Analysis in weighted spaces : preliminary version Frank Pacard To cite this version: Frank Pacard. Analysis in weighted spaces : preliminary version. 3rd cycle. Téhéran (Iran, 2006, pp.75.
More information(c) For each α R \ {0}, the mapping x αx is a homeomorphism of X.
A short account of topological vector spaces Normed spaces, and especially Banach spaces, are basic ambient spaces in Infinite- Dimensional Analysis. However, there are situations in which it is necessary
More informationNonlinear Dynamical Systems Lecture - 01
Nonlinear Dynamical Systems Lecture - 01 Alexandre Nolasco de Carvalho August 08, 2017 Presentation Course contents Aims and purpose of the course Bibliography Motivation To explain what is a dynamical
More informationPICARD S THEOREM STEFAN FRIEDL
PICARD S THEOREM STEFAN FRIEDL Abstract. We give a summary for the proof of Picard s Theorem. The proof is for the most part an excerpt of [F]. 1. Introduction Definition. Let U C be an open subset. A
More informationREPRESENTATION THEORY WEEK 7
REPRESENTATION THEORY WEEK 7 1. Characters of L k and S n A character of an irreducible representation of L k is a polynomial function constant on every conjugacy class. Since the set of diagonalizable
More informationON THE STABILITY OF THE QUASI-LINEAR IMPLICIT EQUATIONS IN HILBERT SPACES
Khayyam J. Math. 5 (219), no. 1, 15-112 DOI: 1.2234/kjm.219.81222 ON THE STABILITY OF THE QUASI-LINEAR IMPLICIT EQUATIONS IN HILBERT SPACES MEHDI BENABDALLAH 1 AND MOHAMED HARIRI 2 Communicated by J. Brzdęk
More informationIntroduction to Dynamical Systems
Introduction to Dynamical Systems France-Kosovo Undergraduate Research School of Mathematics March 2017 This introduction to dynamical systems was a course given at the march 2017 edition of the France
More informationGlobal Attractors in PDE
CHAPTER 14 Global Attractors in PDE A.V. Babin Department of Mathematics, University of California, Irvine, CA 92697-3875, USA E-mail: ababine@math.uci.edu Contents 0. Introduction.............. 985 1.
More informationRobustly transitive diffeomorphisms
Robustly transitive diffeomorphisms Todd Fisher tfisher@math.byu.edu Department of Mathematics, Brigham Young University Summer School, Chengdu, China 2009 Dynamical systems The setting for a dynamical
More informationPROBLEMS. (b) (Polarization Identity) Show that in any inner product space
1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization
More informationA generic property of families of Lagrangian systems
Annals of Mathematics, 167 (2008), 1099 1108 A generic property of families of Lagrangian systems By Patrick Bernard and Gonzalo Contreras * Abstract We prove that a generic Lagrangian has finitely many
More informationMathematical Journal of Okayama University
Mathematical Journal of Okayama University Volume 46, Issue 1 24 Article 29 JANUARY 24 The Perron Problem for C-Semigroups Petre Prada Alin Pogan Ciprian Preda West University of Timisoara University of
More informationIntroduction to Topology
Introduction to Topology Randall R. Holmes Auburn University Typeset by AMS-TEX Chapter 1. Metric Spaces 1. Definition and Examples. As the course progresses we will need to review some basic notions about
More informationTHE JORDAN-BROUWER SEPARATION THEOREM
THE JORDAN-BROUWER SEPARATION THEOREM WOLFGANG SCHMALTZ Abstract. The Classical Jordan Curve Theorem says that every simple closed curve in R 2 divides the plane into two pieces, an inside and an outside
More informationg 2 (x) (1/3)M 1 = (1/3)(2/3)M.
COMPACTNESS If C R n is closed and bounded, then by B-W it is sequentially compact: any sequence of points in C has a subsequence converging to a point in C Conversely, any sequentially compact C R n is
More information(x k ) sequence in F, lim x k = x x F. If F : R n R is a function, level sets and sublevel sets of F are any sets of the form (respectively);
STABILITY OF EQUILIBRIA AND LIAPUNOV FUNCTIONS. By topological properties in general we mean qualitative geometric properties (of subsets of R n or of functions in R n ), that is, those that don t depend
More informationRiesz Representation Theorems
Chapter 6 Riesz Representation Theorems 6.1 Dual Spaces Definition 6.1.1. Let V and W be vector spaces over R. We let L(V, W ) = {T : V W T is linear}. The space L(V, R) is denoted by V and elements of
More informationNon-degeneracy of perturbed solutions of semilinear partial differential equations
Non-degeneracy of perturbed solutions of semilinear partial differential equations Robert Magnus, Olivier Moschetta Abstract The equation u + FV εx, u = 0 is considered in R n. For small ε > 0 it is shown
More informationfy (X(g)) Y (f)x(g) gy (X(f)) Y (g)x(f)) = fx(y (g)) + gx(y (f)) fy (X(g)) gy (X(f))
1. Basic algebra of vector fields Let V be a finite dimensional vector space over R. Recall that V = {L : V R} is defined to be the set of all linear maps to R. V is isomorphic to V, but there is no canonical
More informationMeasure Theory on Topological Spaces. Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond
Measure Theory on Topological Spaces Course: Prof. Tony Dorlas 2010 Typset: Cathal Ormond May 22, 2011 Contents 1 Introduction 2 1.1 The Riemann Integral........................................ 2 1.2 Measurable..............................................
More informationPractice Qualifying Exam Questions, Differentiable Manifolds, Fall, 2009.
Practice Qualifying Exam Questions, Differentiable Manifolds, Fall, 2009. Solutions (1) Let Γ be a discrete group acting on a manifold M. (a) Define what it means for Γ to act freely. Solution: Γ acts
More informationON MARKOV AND KOLMOGOROV MATRICES AND THEIR RELATIONSHIP WITH ANALYTIC OPERATORS. N. Katilova (Received February 2004)
NEW ZEALAND JOURNAL OF MATHEMATICS Volume 34 (2005), 43 60 ON MARKOV AND KOLMOGOROV MATRICES AND THEIR RELATIONSHIP WITH ANALYTIC OPERATORS N. Katilova (Received February 2004) Abstract. In this article,
More informationHilbert space methods for quantum mechanics. S. Richard
Hilbert space methods for quantum mechanics S. Richard Spring Semester 2016 2 Contents 1 Hilbert space and bounded linear operators 5 1.1 Hilbert space................................ 5 1.2 Vector-valued
More informationShort note on compact operators - Monday 24 th March, Sylvester Eriksson-Bique
Short note on compact operators - Monday 24 th March, 2014 Sylvester Eriksson-Bique 1 Introduction In this note I will give a short outline about the structure theory of compact operators. I restrict attention
More informationẋ = f(x, y), ẏ = g(x, y), (x, y) D, can only have periodic solutions if (f,g) changes sign in D or if (f,g)=0in D.
4 Periodic Solutions We have shown that in the case of an autonomous equation the periodic solutions correspond with closed orbits in phase-space. Autonomous two-dimensional systems with phase-space R
More informationPart V. 17 Introduction: What are measures and why measurable sets. Lebesgue Integration Theory
Part V 7 Introduction: What are measures and why measurable sets Lebesgue Integration Theory Definition 7. (Preliminary). A measure on a set is a function :2 [ ] such that. () = 2. If { } = is a finite
More informationOn Controllability of Linear Systems 1
On Controllability of Linear Systems 1 M.T.Nair Department of Mathematics, IIT Madras Abstract In this article we discuss some issues related to the observability and controllability of linear systems.
More informationThe Dirichlet s P rinciple. In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation:
Oct. 1 The Dirichlet s P rinciple In this lecture we discuss an alternative formulation of the Dirichlet problem for the Laplace equation: 1. Dirichlet s Principle. u = in, u = g on. ( 1 ) If we multiply
More informationCHAPTER VIII HILBERT SPACES
CHAPTER VIII HILBERT SPACES DEFINITION Let X and Y be two complex vector spaces. A map T : X Y is called a conjugate-linear transformation if it is a reallinear transformation from X into Y, and if T (λx)
More informationNonlinear Systems Theory
Nonlinear Systems Theory Matthew M. Peet Arizona State University Lecture 2: Nonlinear Systems Theory Overview Our next goal is to extend LMI s and optimization to nonlinear systems analysis. Today we
More informationMetric Spaces and Topology
Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies
More informationProblem: A class of dynamical systems characterized by a fast divergence of the orbits. A paradigmatic example: the Arnold cat.
À È Ê ÇÄÁ Ë ËÌ ÅË Problem: A class of dynamical systems characterized by a fast divergence of the orbits A paradigmatic example: the Arnold cat. The closure of a homoclinic orbit. The shadowing lemma.
More informationAnalysis Comprehensive Exam Questions Fall 2008
Analysis Comprehensive xam Questions Fall 28. (a) Let R be measurable with finite Lebesgue measure. Suppose that {f n } n N is a bounded sequence in L 2 () and there exists a function f such that f n (x)
More informationReminder Notes for the Course on Distribution Theory
Reminder Notes for the Course on Distribution Theory T. C. Dorlas Dublin Institute for Advanced Studies School of Theoretical Physics 10 Burlington Road, Dublin 4, Ireland. Email: dorlas@stp.dias.ie March
More informationAnalytic invariants associated with a parabolic fixed point in C 2
Ergod. Th. & Dynam. Sys. (2008), 28, 1815 1848 doi:10.1017/s0143385707001046 c 2008 Cambridge University Press Printed in the United Kingdom Analytic invariants associated with a parabolic fixed point
More informationThe Hopf argument. Yves Coudene. IRMAR, Université Rennes 1, campus beaulieu, bat Rennes cedex, France
The Hopf argument Yves Coudene IRMAR, Université Rennes, campus beaulieu, bat.23 35042 Rennes cedex, France yves.coudene@univ-rennes.fr slightly updated from the published version in Journal of Modern
More informationProblem Set 5: Solutions Math 201A: Fall 2016
Problem Set 5: s Math 21A: Fall 216 Problem 1. Define f : [1, ) [1, ) by f(x) = x + 1/x. Show that f(x) f(y) < x y for all x, y [1, ) with x y, but f has no fixed point. Why doesn t this example contradict
More informationNonlinear Dynamical Systems Eighth Class
Nonlinear Dynamical Systems Eighth Class Alexandre Nolasco de Carvalho September 19, 2017 Now we exhibit a Morse decomposition for a dynamically gradient semigroup and use it to prove that a dynamically
More informationFunctional Norms for Generalized Bakers Transformations.
Functional Norms for Generalized Bakers Transformations. Seth Chart University of Victoria July 14th, 2014 Generalized Bakers Transformations (C. Bose 1989) B φ a = φ Hypothesis on the Cut Function ɛ (0,
More informationREAL AND COMPLEX ANALYSIS
REAL AND COMPLE ANALYSIS Third Edition Walter Rudin Professor of Mathematics University of Wisconsin, Madison Version 1.1 No rights reserved. Any part of this work can be reproduced or transmitted in any
More information