Numerical dynamics of integrodifference equations:
Hierarchies of invariant bundles in
Abstract
We study how the ”full hierarchy” of invariant manifolds for nonautonomous integrodifference equations on the Banach spaces of -integrable functions behaves under spatial discretization of Galerkin type. These manifolds include the classical stable, center-stable, center, center-unstable and unstable ones, and can be represented as graphs of -functions. For kernels with a smoothing property, our main result establishes closeness of these graphs in the -topology under numerical discretizations preserving the convergence order of the method. It is formulated in a quantitative fashion and technically results from a general perturbation theorem on the existence of invariant bundles (i.e. nonautonomous invariant manifolds).
keywords:
Integrodifference equation, numerical dynamics, dichotomy spectrum, nonautonomous invariant manifolds, Galerkin method65P99, 37J15, 37L25, 47H30, 45M10
1 Introduction
Over the last years, integrodifference equations (abbreviated IDEs)
() |
became popular and widely used models in theoretical ecology for the temporal evolution and spatial dispersal of populations having non-overlapping generations [14]. They constitute an interesting class of infinite-dimensional dynamical systems and can be seen as a discrete-time counterpart to reaction-diffusion equations, with whom they share various dynamical features. IDEs also arise in other fields, such as time--maps of evolutionary differential equations or as iterative schemes to solve nonlinear boundary value problems via an equivalent fixed point formulation (cf. [15, pp. 168–169]). Due to their origin in ecology, a periodic -dependence in () is well-motivated, but recently also applications requiring more general temporal forcing became relevant [11].
The long term behavior of IDEs is often illustrated using numerical simulations, which require to discretize their state space . For this reason it is a well-motivated question to relate the dynamics of the original and of the numerically approximated problem. This is a key issue in Numerical Dynamics [23]. Among the various aspects of this field, we tackle invariant manifolds. These sets provide the skeleton of the state space for a dynamical system, since stable manifolds might serve as boundary between different domains of attraction, unstable manifolds constitute global attractors and center manifolds capture the essential dynamics near non-hyperbolic solutions. These sets fulfill the classical hierarchy (a notion from [5])
(1) |
In continuous time, early contributions for autonomous ODEs in were [6] (stable and unstable manifolds) and [7] (center manifolds). Generalizations to infinite-dimensional problems appeared in [1] (evolutionary PDEs), [9] (delay equations) and [12] (full discretizations of evolutionary PDEs). The effect of time-discretizations to invariant manifolds for nonautonomous ODEs in Banach spaces was studied in [13].
Throughout the literature the state space of IDEs typically consists of continuous or integrable functions [14]. It is all the more important to understand the behavior of their invariant manifolds in the classical hierarchy (1) when such equations are spatially discretized. Accordingly the paper at hand further explores the numerical dynamics of nonautonomous equations. For related work we refer to [19] on the classical situation of local stable and unstable manifolds for hyperbolic periodic solutions to Urysohn IDEs in the space of (Hölder) continuous functions over a compact habitat. The present approach complements and extends [19] in various aspects: First, we tackle Hammerstein IDEs () in -spaces rather than over the continuous functions. Second, we address the complete hierarchy of invariant manifolds containing also strongly stable, the three types of center, as well as strongly unstable manifolds and establish convergence including their derivatives preserving the order of the discretization method. Third, dealing with general nonautonomous equations requires various alternative tools such as the dichotomy spectrum [22] (instead of the Floquet spectrum) and a flexible perturbation theorem for invariant bundles replacing the Lipschitz inverse function theorem used in [19], whose applicability is restricted to the hyperbolic situation. We finally point out that such extended hierarchies of invariant manifolds date back to [5] in the framework of autonomous ODEs.
The crucial assumption in our analysis are ambient smoothing properties of the kernels paving the way to corresponding error estimates. In order to minimize technicalities, we deal with globally defined semilinear IDEs having the trivial solution and therefore obtain global results. By means of well-known translation and cut-off methods more general and real-life problems under local assumptions can be adapted to the present setting and then yield results valid in the vicinity of a given reference solution (cf. Sect. 3.3 or [18, pp. 256ff, Sect. 4.6]).
This paper is structured as follows: In Sect. 2 we provide the basic assumptions on nonautonomous Hammerstein IDEs such that they are well-defined on -spaces and generate a completely continuous process. In order to circumvent the pathological smoothness properties of Nemytskii operators on -spaces this requires them to satisfy suitable mapping properties into a larger -space, , being balanced by Hille-Tamarkin conditions on the kernel (cf. Sect. 2.1). In short, dealing with an IDE () of class requires exponents . The starting point of our actual analysis are nonautonomous linear IDEs. Based on exponential dichotomies and the dichotomy spectrum we present the ’linear algebra’ necessary for our analysis, where spectral intervals and bundles extend eigenvalue moduli respectively generalized eigenspaces (cf. [22]) to a time-variant setting. The following Sect. 3 contains our main results (Thms. 3.3 and 3.6) describing how nonautonomous invariant manifolds (bundles) and their derivatives up to order behave under discretization using projection methods. Concrete examples of projection methods and their applicability in Thms. 3.3 and 3.6 are discussed in Sect. 4. Finally, for the reader’s convenience, we conclude the paper with two appendices. App. A contains the central perturbation result from [17] in a formulation suitable for those not familiar with the calculus on measure chains. App. B quotes a well-definedness criterion for linear Fredholm integral operators and (due to the lack of a suitable reference) provides well-definedness and smoothness properties for Nemytskii operators between Lebesgue spaces.
Notation
Let be one of the fields or . A discrete interval is the intersection of a real interval with the integers and . Given and normed spaces , we write for the space of bounded -linear operators and moreover , as well as . It is handy to abbreviate and . We write for the kernel, for the range of . Moreover, is the identity map on , the spectrum of and denotes norms on finite-dimensional spaces. Finally, we write for the (smallest) Lipschitz constant of a mapping .
Throughout, let be an open, bounded (and hence Lebesgue measurable) set and is its diameter. For we introduce the space of -valued -integrable functions
and equip it with resp. as canonical norms. This yields a strictly decreasing scale of Banach spaces. In particular, is a Hilbert space with inner product . Finally, we write .
2 Nonautonomous difference equations
Let be an unbounded discrete interval.
2.1 Hammerstein integrodifference equations
We investigate nonautonomous integrodifference equations
() |
whose right-hand sides are Hammerstein integral operators satisfying the assumptions:
The kernels , , in () fulfill Hille-Tamarkin conditions with exponents :
-
is Lebesgue measurable and with determined by , we assume
Then Prop. B.1 guarantees that the linear integral operators
(2) |
are well-defined and compact.
Concerning the growth functions , , in (), for given and exponents we assume Carathéodory conditions for all :
-
exists and is continuous for a.a. , while is measurable on and with there exist functions and reals so that for a.a. one has
Given this, Prop. B.2 and B.4 ensure that the Nemytskii operators
(3) |
are well-defined and in case also -times continuously differentiable. In a nutshell, the right-hand sides of () satisfy
Proposition 2.1 (properties of ).
Proof.
Let . The Fredholm operators (2) are well-defined and compact due to Prop. B.1, while the Nemytskii operators (3) are well-defined, bounded and continuous by Prop. B.2. Then [20, pp. 25–26, Thm. 2.1] implies that is completely continuous. Finally, Prop. B.4 and the Chain Rule applied to the yield the claimed smoothness assertion. ∎
Under the assumptions of Prop. 2.1 an IDE () is well-posed. This means that for arbitrary initial times and initial states , there are unique forward solutions, i.e. sequences in satisfying the solution identity for , . A backward solution fulfills the solution identity for and entire solutions satisfy on . The general solution to () is given by via the compositions
A subset is called a nonautonomous set and , , its -fiber. We say is forward invariant resp. invariant, provided
holds. In case all fibers are linear spaces one speaks of a linear bundle and it is convenient to write .
2.2 Linear integrodifference equations
This section outlines the nonautonomous ’linear algebra’ required to understand the dynamics of () based on linearization [22]. Here, if a kernel satisfies the Hille-Tamarkin conditions with , then a linear IDE
() |
is well-defined with compact , . This yields the evolution operator
A linear IDE () has an exponential dichotomy on [10, p. 229, Def. 7.6.4], if there exists a projection-valued sequence in and , so that and is an isomorphism for all with
This allows us to introduce nonautonomous counterparts to eigenvalue moduli in terms of the components of the dichotomy spectrum
for (). The spectrum depends on the interval such that . Under the bounded growth assumption
(4) |
it is contained in and there exists a with . As shown in [22, Cor. 4.13], is a union of at most countably many intervals which can only accumulate at some . One of the cases holds:
-
consists of finitely many closed intervals:
Figure 2: Case with infinitely many spectral intervals accumulating at i.e. (top) and accumulating at (bottom)
Concerning nonautonomous counterparts to generalized eigenspaces, for each we define the linear bundles
in case , one denotes as a -stable and as a -unstable bundle of (). With rates chosen as in or above, we set
Thanks to [22, Cor. 4.13] the -unstable bundles are finite-dimensional and:
The bundle satisfies .
3 Invariant bundles under projection methods
Among the various numerical techniques to solve integral equations and thus to computationally simulate IDEs, we focus on projection methods [3], [4, pp. 446ff]. They are based on a sequence , , of bounded projections onto finite-dimensional subspaces . Here each subspace is the span of linearly independent functions and it is advantageous to set . Under interpolation conditions (for collocation methods) or orthogonality conditions (for Galerkin methods), these functions determine projections . Given this, we set and refer to Sect. 4 for concrete examples of suitable spaces and related projections .
The resulting spatial discretizations of () are difference equations
() |
being well-defined due to Prop. 2.1. and denotes their general solutions.
Throughout the section, we suppose
Hypothesis.
Let and with . Suppose that
-
(i)
with a -smoothing kernel, that is, given a subset for all the inclusions hold and there exist such that
(5) -
(ii)
with , for all , a.a. and there exist measurable functions with
(6) (7) such that and
(8) (9) -
(iii)
there exists a function with such that the discretization error satisfies
(10)
The subsequent Sect. 4 is devoted to specific error estimates (10) for various function spaces . Moreover, in order to illustrate the smoothing property (i) we consider two nonsmooth kernels depending on dispersal rates , :
Example 3.1 (Laplace kernel).
Consider the Laplace kernel (see [14, pp. 18ff])
acting on a habitat , . As a continuous, globally bounded function it satisfies with arbitrary exponents and . In particular,
and therefore for all . In addition,
for all and , as well as . Hence, we can choose the smaller space and obtain
with the constants . In conclusion, the Laplace kernel is -smoothing and the estimate (5) holds.
Example 3.2 (root kernel).
The exponential root kernel (see [14, p. 72 for ])
with exponent may be defined on an open, bounded habitat . Being continuous and globally bounded, it again fulfills with arbitrary and . Given the Hölder inequality implies
for all , as well as using the Mean Value Estimate (applied to )
Thus, is Hölder with exponent and we can choose with
In summary, the exponential root kernel is -smoothing and the estimate (5) holds with the constant for all .
3.1 Pseudo-stable and -unstable bundles
Under the above Hypotheses (i–iii), the right-hand side of () is at least continuously differentiable (cf. Prop. 2.1). Its variational equation along the trivial solution
() |
is a linear IDE of the form () with kernel , whose dichotomy spectrum will be denoted by .

Theorem 3.3 (pseudo-stable and -unstable bundles under discretization).
Let Hypotheses (i–iii) hold, , , be as in or , choose so that
and let denote the associated linear bundles of the variational equation (). Then there exists a depending only on (), so that if
(11) |
is fixed and , then there exists a such that the following statements are true for and (see Fig. 3):
-
(a)
In case is unbounded above, then the pseudo-stable bundle
is a forward invariant bundle of (), which is independent of and allows the representation
with continuous mappings satisfying and
-
there exist with and for all holds
-
if and , then the derivatives exist up to order as continuous maps and for there are such that
-
-
(b)
In case is unbounded below, then the pseudo-unstable bundle
is a finite-dimensional (unless for spectra and ) invariant bundle of (), which is independent of and allows the representation
with continuous mappings satisfying and
-
there exist with and for all holds
-
if and , then the derivatives exist up to order as continuous maps and for there are such that
-
- (c)
The discretization bound under which the bundles of () persist for is large, provided the spectral gap is small, the habitat is large (in terms of its diameter), the Lipschitz constants or the ‘operator norms’ in (8) are large, or the convergence rate via is small.
In case the bundles constructed in Thm. 3.3 reduce to and . Further specific mention deserves a dichotomy spectrum of the form and , where we have and () or ().

Remark 3.4 (hyperbolic case).
The trivial solution of () is called hyperbolic, if . In this case we assume for some (see Fig. 4).
(1) Then is called stable and unstable bundle for (). The stable bundle contains the strongly stable bundles , , while the unstable bundle contains the finitely many strongly unstable bundles , , of ().
(2) The dichotomy spectrum of () behaves upper-semicontinuously under discretization, that is, if denotes the spectrum of the discretized variational equation
() |
then for each there exists a such that for all . This guarantees that hyperbolicity is preserved under discretization. In particular, persist as (strongly) stable bundles , , and persists as (strongly) unstable bundles , , of the discretizations () for .
Remark 3.5 (periodic IDEs).
Proof of Thm. 3.3.
Due to Prop. 2.1 the right-hand side of () is of class with
as derivative along the trivial solution. It results from the Lipschitz condition (7) and [18, p. 363, Prop. C.1.1] that for all and a.a. . We derive from (9) that the variational equation () satisfies (4) (with kernel ) and ; so the spectrum is of the form required in Sect. 2.2.
In order to apply the perturbation Thm. A.1 in we first specify the general difference equation () as
(12) |
depending on a real parameter and with the functions ,
where . For the semilinear difference equation (12) reduces to the original problem (), while for one obtains the spatial discretization (). We next verify the assumptions of Thm. A.1.
ad : According to the choice of , we obtain that the variational equation () along the trivial solution satisfies the dichotomy estimates (24) with real constants , , and an invariant projector , . By the choice of one has (if is unbounded above) and (if is unbounded below) for all .
ad : From Hypothesis (ii) it immediately results that both and vanish identically in . Using the Mean Value Theorem we have for all that
for a.a. and . Hence, if denotes the Nemytskii operator induced by , then Cor. B.3 implies for that and then
Concerning the nonlinearities we obtain from the -smoothing property assumed in Hypothesis (i) that maps into and thus for that
for all , yielding with . We now choose so large that holds for all , which ensures the inclusion .
ad : From the Chain Rule, for we directly conclude the derivatives
and . If , then it is a consequence of Prop. B.4(b) and
combined with that the derivatives are globally bounded (uniformly in ). Similarly, for all and one has
and , which also yields the global boundedness of (uniformly in ). After these preparations we can address the proof of statements (a–c):
(a) From Thm. A.1(a) we obtain that (12) has a -stable bundle as graph of a continuous function for all . Then
yield the -stable bundles of () and () resp. the mappings parametrizing them; in particular, on . Thm. A.1 guarantees the Lipschitz conditions
and defining , yields . Furthermore, the Lipschitz estimate (27) leads to
If we set , then this establishes the assertion . Under the additional assumptions imposed for we obtain from Thm. A.1 that the partial derivatives exist for . The Mean Value Estimate implies
for all and implying the error estimate in .
(b) This results parallel to (a) using Thm. A.1(b). In particular, and are graphs over the linear bundle . Since the right-hand sides of () are completely continuous due to Prop. 2.1, we obtain from [15, p. 89, Prop. 6.5] that the derivatives in the variational equation () are compact operators in . Therefore, [22, Cor. 4.13] implies that is finite-dimensional, which transfers to for and . Moreover, due to the invariance for all one has for and similarly the smoothing property required in Hypothesis (i) implies .
(c) is a direct consequence of Thm. A.1(c). ∎
3.2 Pseudo-center bundles
Complementing Thm. 3.3, we next establish that also the intersections
and thus the spectral bundles of () persist under nonlinear perturbations, as well as spatial discretization as invariant bundles.
Theorem 3.6 (pseudo-center bundles under discretization).
Let Hypotheses (i–iii) hold with , , , be as in or , choose so that
and let denote the associated linear bundles of the variational equation (). Then there are depending only on (), so that if ,
(13) |
is fixed and for , then there exists a such that for and the pseudo-center bundle
is a finite-dimensional (unless for spectra and ) invariant bundle of (), which is independent of , and allows the representation
with continuous mappings satisfying and
-
(a)
there exist with and for all holds
(14) -
(b)
if , and
then the derivatives exist up to order as continuous maps and for there exist such that
The magnitude of is determined by the same factors as in Thm. 3.3. We furthermore point out spectra and , in which for all .
Remark 3.7 (extended hierarchy).

Remark 3.8 (persistence and center bundles).
In a nonhyperbolic situation for some (see Fig. 5), is the stable, the center-stable, the center-unstable and the unstable bundle of (), while the center bundle completes the classical hierarchy (cf. (1)). Now a center bundle, by definition, is graph over the spectral bundle associated to the spectral interval containing . Although the center bundle of () persists as invariant bundles for all , in general these sets fail to be center bundles of the discretizations (). This is due to the fact that needs not to be contained in the dichotomy spectrum of the discretized variational equations (). For instance, one can think of a singleton interval moving away from under discretization or the fact that a solid spectral interval splits into subintervals, which is possible by the upper-semicontinuity of the spectrum .
Proof of Thm. 3.6.
Above all, choose fixed and we stay in the terminology established in the proof of Thm. 3.3.
(I) Our present assumptions yield that Thm. A.1 applies to IDEs (12) in . Therefore, for each there exists a -stable bundle being a graph of a mapping and a -unstable bundle represented as graph of . The fact that their intersection can be represented as graph of a mapping over is shown as in the proof of [18, p. 208, Prop. 4.2.17]. Hence, it remains to establish the convergence statements. For this purpose, we choose and obtain from Thm. A.1 that
due to our strengthened assumptions (13) (in comparison to (11)); for this note that due to . This implies that
is a contraction in its first two arguments , uniformly in the parameters , with the Lipschitz constant . Based on its unique fixed point we define the mapping
(15) |
depending only on the projection of onto . Given and with , using the Lipschitz estimates (27), (31) from Thm. A.1 we obtain as in the proof of [17, Thm. 4.2] that there exists a constant such that
(16) |
Referring to (15) this guarantees
(17) |
(II) Now suppose that both spectral gap conditions , hold yielding that and are of class with globally bounded partial derivatives of order w.r.t. due to (28) and (32). In order to establish that there exist constants such that
(18) |
we proceed by mathematical induction. For the bound on results from the Lipschitz condition (16) combined with [18, p. 363, Prop. C.1.1]. Differentiating the fixed-point identity on w.r.t. first implies
(19) |
on and then thanks to the Product and Chain Rule (with partially unfolded derivative tree) the derivatives of (19) w.r.t. of order read as
on . Here, the norm bound on results from the contraction property of and again [18, p. 363, Prop. C.1.1]. Then the second term in the above sum is a sum of products. In each of them a derivative of w.r.t. occurs exactly once, which yields a factor containing the term (note (29) and (33)), while the remaining factors are derivatives of w.r.t. , being bounded due to our induction hypothesis (see (28) and (32)). This establishes (18) from which one has
(20) |
(III) After the prelude in steps (I) and (II) we finally define
and argue as above, i.e. by referring to [18, p. 208, Prop. 4.2.17] that it remains to establish the convergence estimates given in (a) and (b) for :
(a) Then the error estimate in (14) results from step (I) as for one has
(b) Using the Mean Value Estimate we derive from step (II) for that
for all . This establishes claim (b). ∎
3.3 Applicability
One cannot expect general IDEs
() |
arising in real-world applications [11, 14] to satisfy global assumption such as (6), (7), the global smallness condition (11), or that the trivial solution lies in the center of interest. Nonetheless, given any solution of () the equation of perturbed motion
with growth function has the trivial solution. The dynamics in its vicinity is the same as that of () near the reference solution .
The solutions of () being relevant in applications have (essentially) bounded values . Under this premise a suitable modification of the growth function allows to apply Thm. 3.3 and 3.6. For this purpose assume that satisfies Hypothesis (ii) with the global conditions (6) and (7) weakened to
-
•
for all ,
-
•
for each and there exists a such that
Given , let denote a cut-off function, i.e. a -function constant on , for and vanishing on the remaining set (cf. [18, p. 369, Prop. C.2.16]). First, thanks to this construction the growth functions and
(21) |
coincide for all and a.a. . Second, by [18, p. 370, Prop. C.2.17] the radius can be chosen so small that under the balancing conditions (6), (7) the resulting nonlinearities in the proof of Thm. 3.3 satisfy the assumptions of Thm. A.1. This allows to obtain the particular fiber bundles and of the IDE (), whose growth function is given in (21).
4 Galerkin discretizations of integrodifference equations
This section demonstrates that the convergence assumption from Hypothesis (iii) holds for various Galerkin approximations. They are a special case of general projection methods (cf. [3, Sect. 2] or [4, pp. 448ff]) to discretize IDEs spatially. Here, let .
4.1 Galerkin methods on
On the interval , choose , the nodes
(22) |
and set (i.e. one obtains the entire interval for ),
We assume throughout that there exists a such that
(23) |
Piecewise constant approximation
Let , , be the characteristic functions over the partition (22). With one defines the projections (see [2, p. 305, 9.21])
onto the piecewise constant functions and has the error estimate
This yields a discretization error (10) with the space of weakly differentiable functions having first order derivatives in and .
Continuous piecewise linear approximation
4.2 Galerkin methods on polygonal domains with
Let and be a polygonal domain (open, bounded, connected). For a sequence in satisfying (23) suppose the representations
with a sequence of regular triangulations , i.e. there exists a constant such that each family consists of finitely many polyhedra and
for . Let be the space of polynomials of (maximal) degree in variables over and . For it results from [21, p. 96, (3.5.9)] that there exists a with
Consequently the error estimate (10) holds for functions being weakly differentiable up to order with derivatives in and .
4.3 Spectral Galerkin methods
For a Hammerstein IDE () let us suppose that the kernels and growth functions are of the form and for all with a sequence and functions , such that Hypotheses (i–iii) are satisfied with . The linear operator , is compact and in case
also self-adjoint. Consequently there exists a complete orthonormal set consisting of eigenfunctions for . Given this, we define the orthogonal projections
onto and it is not difficult to arrive at
Whence, the convergence function in the error estimate (10) depends on the decay of the Fourier coefficients . If the kernel comes from a Sturm-Liouville problem, then related results are treated in [8, pp. 275, Sect. 5.2].
5 Perspectives
An alternative to the -setting we elaborated on in this paper, is to employ the strictly decreasing scale of Hölder spaces over a compact habitat . For this purpose and exponents one considers
The reason for working with different Hölder exponents are the pathological mapping properties of the Nemytskii operators in case . Indeed, then any globally Lipschitz is already affine-linear, cf. [16]. A particular feature of such a Hölder setting is that persistence and convergence of invariant fibers can be shown for Nyström discretizations of () (see [3, 19]).
Appendix A Perturbation of invariant bundles
In this appendix, is an unbounded discrete interval, while denotes a Banach space. We consider nonautonomous semilinear difference equations
() |
in depending on a parameter and having the general solution . Suppose that the following assumptions hold:
-
(H1)
, , there exists a projection-valued sequence in and reals , so that and is an isomorphism for all , as well as
(24) -
(H2)
The identities on hold for mappings , , satisfying the Lipschitz estimates
-
(H3)
Let and be -times continuously differentiable such that
For our central perturbation result, given and the linear spaces
and are due and satisfy
(25) |
These preparations allows us to establish existence, smoothness and -dependence of invariant bundles for () carrying most of the technical effort for the results above.
Theorem A.1 (existence and perturbation of invariant bundles).
Under the assumptions (H1–H2) with
we choose a fixed and set , . If , then the following statements are true for all :
-
(a)
In case is unbounded above, then the -stable bundle
is a forward invariant bundle of () independent of having the representation with a continuous mapping satisfying for all , that
-
and ,
-
fulfills the Lipschitz estimates
(26) (27) -
if also holds, and , then the derivatives exist up to order as continuous functions and there are such that
(28) (29)
-
-
(b)
In case is unbounded below, then the -unstable bundle
is an invariant bundle of () independent of having the representation with a continuous mapping satisfying for all , that
-
and ,
-
fulfills the Lipschitz estimates
(30) (31) -
if also holds, and , then the derivatives exist up to order as continuous functions and there are such that
(32) (33)
-
- (c)
Proof.
Apply [17, Thm. 3.3] on the measure chains . ∎
Appendix B Fredholm and Nemytskii operators on -spaces
Let be a measure space with -algebra and a finite measure , while denotes a finite-dimensional Banach space over . For we define the space
of -valued -integrable functions and equip it with as norm.
Our analysis requires preparations on Fredholm integral operators
First, for the kernel we suppose Hille-Tamarkin conditions: There exist such that
-
(h1)
is -measurable,
-
(h2)
if with , then
Proposition B.1.
If – hold with , then is well-defined and compact with
(34) |
Second, let us furthermore consider the Nemytskii operator
induced by a growth function . Given we assume that for all one has the following Carathéodory conditions:
-
(c1)
exists and is continuous for -a.a. ,
-
(c2)
is -measurable on for all .
Proposition B.2.
Let , , and suppose – hold with . If the growth estimate
is satisfied, then is well-defined, bounded and continuous.
Proof.
See [20, p. 63, Thm. 5.1]. ∎
Corollary B.3.
Let . If there exists a -measurable function satisfying
and , then is globally Lipschitz with
(35) |
Proof.
Given , we obtain
and the Hölder inequality for leads to
We now choose such that (note that guarantees ) and obtain , as well as , thus
which guarantees the Lipschitz condition (35). ∎
Proposition B.4.
Let , with , , and suppose – hold. If for the growth conditions
(36) |
are satisfied, then is of class and for each , the following holds:
-
(a)
for -a.a. and functions ,
-
(b)
.
Due to the lack of a suitable reference we provide an explicit proof.
Proof.
Throughout, let and formally define for -a.a. that
and . First, being -integrable, is -measurable on . Since satisfy Carathéodory conditions, because of [20, p. 62, Lemma 5.1] also is -measurable on . Second, if we set , then (36) become
(I) Claim: is well-defined and bounded for all .
Using the growth condition (36) and the -triangle inequality we obtain
and consequently .
(II) Claim: is continuous for all .
Let be a sequence in converging to w.r.t. . Because of [2, p. 57, 3.22(1)] this implies pointwise convergence of a subsequence -a.e., that is, w.l.o.g. we can suppose for -a.a. , which shows
The necessity part of Vitali’s convergence theorem [2, p. 57, 3.23] applies to and the growth assumptions on guarantee that [2, p. 57, 3.23] can be applied to with the exponent rather than . Thus, the sufficiency part of [2, p. 57, 3.23] shows that , i.e. is continuous.
(III) Claim: is well-defined and continuous for all .
For we obtain from Hölder’s inequality that
and consequently results. The assumptions on yield the inclusion , while the continuity of is shown as in step (II).
(IV) Claim: is continuously differentiable for all .
Because is assumed to be continuously differentiable in the second argument, the Mean Value Theorem and Jensen’s Inequality imply
and we obtain from Fubini’s theorem along with Hölder’s inequality
for . Due to the continuity of the integral tends to zero in the limit , and hence is Frechét differentiable in with derivative by uniqueness of derivatives. Its continuity was already shown in step (III).
(V) In particular, this establishes that is continuously differentiable with as derivative. Then mathematical induction yields that is -times continuously differentiable with the derivatives
and all , , which establishes claim (a). Moreover, the estimates stated in (b) are a consequence of step (I). ∎
References
- [1] F. Alouges, A. Debussche. On the qualitative behavior of the orbits of a parabolic partial differential equation and its discretization in the neighborhood of a hyperbolic fixed point. Numer. Funct. Anal. Optimization 12(3–4), 253–269, 1991.
- [2] H.W. Alt. Linear Functional Analysis: An Application-Oriented Introduction, Universitext, Springer, London, 2016.
- [3] K.E. Atkinson. A survey of numerical methods for solving nonlinear integral equations, J. Integr. Equat. Appl. 4(1), 15–46 (1992).
- [4] K. Atkinson, W. Han. Theoretical Numerical Analysis (2nd edition), Texts in Applied Mathematics 39, Springer, Heidelberg etc., 2000.
- [5] B. Aulbach. Hierarchies of invariant manifolds, Journal of the Nigerian Mathematical Society, 6, 71–89 (1987).
- [6] W.-J. Beyn. On the numerical approximation of phase portraits near stationary points. SIAM J. Numer. Anal. 24(5), 1095–1112, 1987.
- [7] W.-J. Beyn, J. Lorenz. Center manifolds of dynamical systems under discretization. Numer. Funct. Anal. Optimization 9, 381–414, 1987.
- [8] C. Canuto, M.Y. Hussaini, A. Quarteroni, T.A. Zhang. Spectral Methods. Fundamentals in Single Domains, Springer, Berlin etc., 2006
- [9] G. Farkas. Unstable manifolds for RFDEs under discretization: The Euler method. Comput. Math. Appl. 42, 1069–1081, 2001.
- [10] D. Henry. Geometric Theory of Semilinear Parabolic Equations, Lect. Notes Math. 840, Springer, Berlin etc., 1981.
- [11] J. Jacobsen, Y. Jin, M. Lewis. Integrodifference models for persistence in temporally varying river environments, J. Math. Biol. 70:549–590, 2015.
- [12] D. Jones, A. Stuart. Attractive invariant manifolds under approximation. Inertial manifolds. J. Differ. Equations 123, 588–637, 1995.
- [13] S. Keller, C. Pötzsche. Integral manifolds under explicit variable time-step discretization. J. Difference Equ. Appl. 12(3–4), 321–342, 2005.
- [14] F. Lutscher. Integrodifference Equations in Spatial Ecology, Interdisciplinary Applied Mathematics 49. Springer, Cham, 2019.
- [15] R.H. Martin, Nonlinear operators and differential equations in Banach spaces, Pure and Applied Mathematics 11, John Wiley & Sons, Chichester etc., 1976.
- [16] J. Matkowski. Uniformly continuous superposition operators in the Banach space of Hölder functions, J. Math. Anal. Appl. 359(1) (2009), 56–61.
- [17] C. Pötzsche. Extended hierarchies of invariant fiber bundles for dynamic equations on measure chains. Differential Equations and Dynamical Systems 18(1–2), 105–133, 2010.
- [18] C. Pötzsche. Geometric Theory of Discrete Nonautonomous Dynamical Systems, Lect. Notes Math. 2002, Springer, Berlin etc., 2010.
- [19] C. Pötzsche. Numerical dynamics of integrodifference equations: Periodic solutions and invariant manifolds in , submitted 2021.
- [20] R. Precup. Methods in Nonlinear Integral Equations. Springer, Dordrecht, 2002.
- [21] A. Quarteroni, A. Valli. Numerical Approximation of Partial Differential Equations, Series in Computational Mathematics 23, Springer, Berlin etc., 1994.
- [22] E. Ruß. Dichotomy spectrum for difference equations in Banach spaces. J. Difference Equ. Appl. 23(3), 576–617, 2016.
- [23] A. Stuart, A. Humphries. Dynamical Systems and Numerical Analysis, Monographs on Applied and Computational Mathematics 2, University Press, Cambridge, 1998.