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Tiêu đề Invariant Fiber Bundles for Dynamic Equations on Measure Chains
Tác giả Christian Pötzsche, Stefan Siegmund
Trường học Hindawi Publishing Corporation
Chuyên ngành Dynamical Systems
Thể loại Research Paper
Năm xuất bản 2004
Định dạng
Số trang 42
Dung lượng 871,44 KB

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FOR DYNAMIC EQUATIONS ON MEASURE CHAINSReceived 8 August 2003 We present a new self-contained and rigorous proof of the smoothness of invariant fiberbundles for dynamic equations on meas

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FOR DYNAMIC EQUATIONS ON MEASURE CHAINS

Received 8 August 2003

We present a new self-contained and rigorous proof of the smoothness of invariant fiberbundles for dynamic equations on measure chains or time scales Here, an invariant fiberbundle is the generalization of an invariant manifold to the nonautonomous case Ourmain result generalizes the “Hadamard-Perron theorem” to the time-dependent, infinite-dimensional, noninvertible, and parameter-dependent case, where the linear part is notnecessarily hyperbolic with variable growth rates As a key feature, our proof works with-out using complicated technical tools

sys-an elegsys-ant formulation of sys-analytical discretization theory if variable step sizes are present.This paper can be seen as an immediate continuation of [18], where the existence and

Ꮿ1-smoothness of invariant fiber bundles for a general class of nonautonomous, vertible, and pseudohyperbolic dynamic equations on measure chains have been proved;moreover we obtained a higher-order smoothness for invariant fiber bundles of stable andunstable types therein While the existence andᏯ1-smoothness result in [18] is a specialcase of our main theorem (Theorem 3.5), we additionally prove the differentiability ofthe fiber bundles under a sharp gap condition using a direct strategy (cf.Theorem 4.2).The differentiability of invariant fiber bundles plays a substantial role in their calculation

nonin-Copyright©2004 Hindawi Publishing Corporation

Advances in Di fference Equations 2004:2 (2004) 141–182

2000 Mathematics Subject Classification: 37D10, 37C60

URL: http://dx.doi.org/10.1155/S1687183904308010

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using a Taylor series approach, as well as, for example, in the smooth decoupling of namical systems (cf [5]) To keep the current paper as short as possible, we reduce itscontents to a quite technical level Nonetheless, a variety of applications, examples, out-looks, and further references can be found, for example, in [1,2,3,12].

dy-While in the hyperbolic case the smoothness of the invariant fiber bundles is ily obtained with the uniform contraction principle, in the nonhyperbolic situation thesmoothness depends on a spectral gap condition and is subtle to prove For a modernapproach using sophisticated fixed point theorems, see [9,22,25,26] Another approach

eas-to the smoothness of invariant manifolds is essentially based on a lemma by Henry (cf.,e.g., [6, Lemma 2.1]) or methods of a more differential topological nature (cf [11,23]),namely theᏯm-section theorem for fiber-contracting maps In [5,20,24] the problem ofhigher-order smoothness is tackled directly

In this spirit we present an accessible “ad hoc” approach toᏯm-smoothness of dohyperbolic invariant fiber bundles, which is basically derived from [24] (see also [20])and needs no technical tools beyond the contraction mapping principle, the Neumann se-ries, and Lebesgue’s dominated convergence theorem, consequently Our focus is to give

pseu-an explicit proof of the higher-order smoothness without sketched induction arguments,but even in theᏯ1-case, the arguments in this paper are different from those in [18] Onedifficulty of the smoothness proof is due to the fact that one has to compute the higher-order derivatives of compositions of maps, the so-called “derivative tree.” It turned out

to be advantageous to use two different representations of the derivative tree, namely, a

“totally unfolded derivative tree” to show that a fixed point operator is well defined and tocompute explicit global bounds for the higher-order derivatives of the fiber bundles, and

a “partially unfolded derivative tree” to elaborate the induction argument in a recursiveway

Some contemporary results on the higher-order smoothness of invariant manifoldsfor differential equations can be found, for example, in [6,22,24,25,26], while cor-responding theorems on difference equations are contained in [7,12] The first paper[7] deals only with autonomous systems (maps) and applies the fiber contraction the-orem In [12, Theorem 6.2.8, pages 242-243], the so-called Hadamard-Perron theorem

is proved via a graph transformation technique for a time-dependent family of Ꮿmdiffeomorphisms on a finite-dimensional space, where higher-order differentiability isonly tackled in a hyperbolic situation Using a different method of proof, our main re-sults, Theorems3.5and4.2, generalize the Hadamard-Perron theorem to noninvertible,infinite-dimensional, and parameter-dependent dynamic equations on measure chains.This enables one to apply our results, for example, in the discretization theory of 2-parameter semiflows So far, besides [18], there are only three other contributions to thetheory of invariant manifolds for dynamic equations on measure chains or time scales

-A rigorous proof of the smoothness of generalized center manifolds for autonomous namic equations on homogeneous time scales is presented in [9], while [10, Theorem 4.1]shows the existence of a “center fiber bundle” (in our terminology) for nonautonomoussystems on measure chains Finally the thesis [13] deals with classical stable, unstable, andcenter invariant fiber bundles and their smoothness for dynamic equations on arbitrarytime scales, and contains applications to analytical discretization theory

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dy-The structure of the present paper is as follows InSection 2, we will briefly repeat

or collect the notation and basic concepts In particular, we introduce the elementarycalculus on measure chains, dynamic equations, and a convenient notion describing ex-ponential growth of solutions of such equations

Section 3will be devoted to theᏯ1-smoothness of invariant fiber bundles We will alsostate our main assumptions here and prove some preparatory lemmas which will also beneeded later TheᏯ1-smoothness follows without any gap condition from the main result

of this section, which isTheorem 3.5 Our proof may seem long and intricate and in fact

it would be if we would like to show theᏯ1-smoothness only, but in its structure it alreadycontains the main idea of the induction argument for theᏯm-case and we will profit thenfrom being rather detailed in theᏯ1-case

Section 4, finally, contains our main result (Theorem 4.2), stating that under the “gapcondition”m s  ab the pseudostable fiber bundle is of classmsand, accordingly, thepseudo-unstable fiber bundle is of classᏯmr, ifam r  b.

2 Preliminaries

Above all, to keep the present paper self-contained we repeat some notation from [18]:N

denotes the positive integers The Banach spacesᐄ, ᐅ are all real or complex throughoutthis paper and their norms are denoted by · ᐄ, ·ᐅ, respectively, or simply by · 

Ifᐄ and ᐅ are isometrically isomorphic, we write ᐄᐅ ᏸn(ᐄ;ᐅ) is the Banach space

ofn-linear continuous operators fromntoᐅ for n ∈N,ᏸ0(ᐄ;ᐅ) :=ᐅ, ᏸ(ᐄ;ᐅ) :=

ᏸ1(ᐄ;ᐅ), ᏸ(ᐄ) :=ᏸ1(ᐄ;ᐄ), and Iᐄstands for the identity map onᐄ On the productspaceᐄ×ᐅ, we always use the maximum norm







×ᐅ:=max

 x ᐄ, y ᐅ 

We writeDF for the Fr´echet derivative of a mapping F, and if F : (x, y) → F(x, y) depends

differentiably on more than one variable, then the partial derivatives are denoted by D1F

andD2F, respectively Now we quote the two versions of the higher-order chain rule for

Fr´echet derivatives on which our smoothness proof is based Thereto letᐆ be a furtherBanach space overRorC With given j, l ∈N, we write

N i ⊆ {1, , l },N i = ∅fori ∈ {1, , j },

N1∪ ··· ∪ N j = {1, , l },

N i ∩ N k = ∅fori = k, i, k ∈ {1, , j },maxN i < max N i+1fori ∈ {1, , j −1}

for the set of ordered partitions of {1, , l }with length j, and #N for the cardinality of

a finite set N ⊂N In caseN = { n1, , n k} ⊆ {1, , l } fork ∈N,k ≤ l, we abbreviate

D k g(x)x N:= D k g(x)x n1··· x nkfor vectorsx, x1, , x l ∈ ᐄ, where g : ᐄ →ᐅ is assumed to

bel-times continuously differentiable

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Theorem 2.1 (chain rule) Given m ∈Nand two mappings f :→ ᐆ, g : ᐄ → ᐅ which

are m-times continuously di fferentiable, then also the composition f ◦ g :→ ᐆ is m-times

continuously differentiable and for l ∈ {1, , m } , x ∈ ᐄ, the derivatives possess the

repre-sentations as a so-called partially unfolded derivative tree

j(l)

D j f g(x)

D#N1g(x)x N1··· D#Nj g(x)x Nj (2.4)

for any x1, , x l ∈ ᐄ.

Proof A proof of (2.3) follows by an easy induction argument (cf [24, B.3 Satz, page

We also introduce some notions which are specific to the calculus on measure chains(cf [4,8]) In all the subsequent considerations, we deal with a measure chain (T,,µ)

unbounded above, that is, a conditionally complete totally ordered set (T,) (see [8, iom 2]) with the growth calibrationµ :T×TR(see [8, Axiom 3]), such that the set

Ax-µ(T,τ) ⊆R,τ ∈T, is unbounded above In addition,σ :TT,σ(t) : =inf{ s ∈T:t ≺ s },

defines the forward jump operator and the graininess µ ∗:TR,µ ∗(t) : = µ(σ(t), t), is

assumed to be bounded from now on A measure chain is called homogeneous if its iness is constant and a time scale is the special case of a measure chain, where Tis acanonically ordered closed subset of the reals Forτ, t ∈T, we define

grain-(τ, t)T:= { s ∈T:τ ≺ s ≺ t }, T+

τ:= { s ∈T:τ  s }, T

τ := { s ∈T:s  τ },

(2.5)and forN ⊆T, setN κ:= { t ∈N:t is not a left-scattered maximum of N } Following [8,Section 4.1],Ꮿrd(T,ᏸ(ᐄ)) and Ꮿrd᏾(T,ᏸ(ᐄ)) and denote the rd-continuous the rd-continuous regressive functions from T to ᏸ(ᐄ) (cf [8, Section 6.1]) Recall that

Ꮿ+

rd᏾(T,R) := { c ∈Ꮿrd᏾(T,R) : 1 +µ ∗(t)a(t) > 0 for t ∈T} forms the so-called

regres-sive module with respect to the algebraic operations

(a ⊕ b)(t) : = a(t) + b(t) + µ ∗(t)a(t)b(t), (n  a)(t) : = lim

rd᏾(T,R); thena has the additive inverse (  a)(t) : =

− a(t)/(1 + µ ∗(t)a(t)), t ∈T Growth rates are functions a ∈Ꮿ+

rd᏾(T,R) such that 1 +inft ∈Tµ ∗(t)a(t) > 0 and sup t ∈Tµ ∗(t)a(t) < ∞hold Moreover, we define the relations

ab : ⇐⇒0<  b − a :=inf

t ∈T b(t) − a(t)

, ab : ⇐⇒0≤  b − a , (2.7)

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ande a(t, τ) ∈R,t, τ ∈T, stands for the real exponential function onT Many properties

ofe a(t, τ) used in this paper can be found in [8, Section 7]

Definition 2.2 For a function c ∈Ꮿ+

rd᏾(T,R), τ ∈T, and an rd-continuous function

φ :Tᐄ,

(a)φ is c+-quasibounded, if  φ +

τ,c:=supτ  t  φ(t)  e c(τ, t) < ∞,(b)φ is c − -quasibounded, if  φ  −

τ,c:=supt  τ  φ(t)  e c(τ, t) < ∞,(c)φ is c ± -quasibounded, if sup t ∈T φ(t)  e c(τ, t) < ∞

Ꮾ+

τ,c(ᐄ) and Ꮾ

τ,c(ᐄ) denote the sets of all c+- andc −-quasibounded functionsφ :T

ᐄ, respectively, and they are nontrivial Banach spaces with the norms · +

τ,cand ·  −

τ,c,respectively

Lemma 2.3 For functions c, d ∈Ꮿ+

rd᏾(T,R) with cd, m ∈N, and τ ∈T, the following are true:

(a) the Banach spacesᏮ+

τ,c ) are isometrically isomorphic.

Proof We only show assertion (c) and refer to [17, Lemma 1.4.6, page 77] for (a) and (b).For that purpose, consider the mappingJ :m

τ andx ∈ᐄ By the open mapping theorem (cf., e.g., [14, Corollary 1.4, page 388])

J −1 is continuous and it remains to show that it is nonexpanding Thereto we choose

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A mappingφ :T→ ᐄ is said to be differentiable (at some t0T) if there exists a unique

derivative φ∆(t0)ᐄ such that for any > 0, the estimate

so-τ ∩ I, I is aT-interval, and fies the initial conditionϕ(τ; τ, ξ, p) = ξ for τ ∈ I, ξ ∈ ᐄ, and p ∈ᏼ As mentioned inthe introduction, invariant fiber bundles are generalizations of invariant manifolds tononautonomous equations In order to be more precise, for fixed parameters p ∈ᏼ, wecall a subsetS(p) of the extended state spaceT× ᐄ an invariant fiber bundle of (2.12) if it

satis-is positively invariant, that satis-is, for any pair ( τ, ξ) ∈ S(p), one has (t, ϕ(t; τ, ξ, p)) ∈ S(p) for

allt ∈T+

τ At this point it is appropriate to state an existence and uniqueness theorem for(2.12) which is sufficient for our purposes

Theorem 2.4 Assume that f :T××→ ᐄ satisfies the following conditions:

(i) f ( ·,p) is rd-continuous for every p ∈ ᏼ,

(ii) for each t ∈T, there exist a compactT-neighborhood N t and a real l0(t) ≥ 0 such

that

f (s, x, p) − f (s, ¯x, p)  ≤ l0(t)  x − ¯x  for s ∈ N κ

t,x, ¯x ∈ ᐄ, p ∈ ᏼ. (2.13)

Then the following hold:

(a) for each τ ∈T, ξ ∈ ᐄ, p ∈ ᏼ, the solution ϕ( ·;τ, ξ, p) is uniquely determined and exists on aT-interval I such thatT+

τ ⊆ I and I is aT-neighborhood of τ independent

of ξ ∈ ᐄ, p ∈ ᏼ;

(b) if ξ :→ ᐄ is bounded and if there exists an rd-continuous mapping l1:TR+

0 such that

f (t, x, p)  ≤ l1(t)  x  for (t, x, p) ∈T××ᏼ, (2.14)

then lim t → τ ϕ(t; τ, ξ(p), p) = ξ(p) holds uniformly in p ∈ ᏼ.

Proof (a) The existence and uniqueness of ϕ( ·;τ, ξ, p) onT+

τ are basically shown in [8,Theorem 5.7] (cf also [17, Satz 1.2.17(a), page 38]) In a left-scatteredτ ∈T, we choose

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(b) LetN be a compactT-neighborhood ofτ such that ϕ( ·;τ, ξ(p), p) exists on N ∪T+

τ.Then the estimate

On the other hand, ifτ ∈Tis left-dense, we obtain limt  τ µ ∗(t) =0 and consequently

l1(t)µ ∗(t) < 1 holds for t ≺ τ in aT-neighborhood, without loss of generality,N of τ.

Then − l1 is positively regressive, and similar to (2.16), we obtain ϕ(t; τ, ξ(p), p)  ≤

supp ∈ ξ(p)  e − l1(t, τ) for t ≺ τ, t ∈N Hence, because of the compactness of N and

the continuity ofe l1(·,τ), e − l1(·,τ), there exists a C ≥0 with ϕ(t; τ, ξ(p), p)  ≤ C for all

t ∈N,p ∈ᏼ, and this implies

τ l1(s)ϕ s; τ, ξ(p), p ∆s by (2.14)

≤ C t

τ l1(s) ∆s ... above dynamic equation (3.1) satisfies theassumptions ofTheorem 2. 4on the Banach spaceᐄ×ᐅ equipped with the norm (2.1) ,and therefore its solutions exist and are unique on aT-interval... is an invariant fiber bundle of ( 3.1) Additionally, s is a solution of the invariance equation

The graph S(p), p ∈ ᏼ, is called the pseudostable fiber bundle of (... have considered dynamic equations of the type (3.1) without an explicitparameter-dependence and under the assumption thatD m

(2,3)(F, G) is uniformly

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