Pulsating solutions for multidimensional bistable and multistable equations
Thomas Giletti (IECL), Luca Rossi (CAMS)

TL;DR
This paper investigates the existence and structure of pulsating traveling front solutions in multidimensional reaction-diffusion equations with spatial heterogeneity, revealing complex phenomena like propagating terraces whose configurations depend on propagation direction.
Contribution
It introduces the concept of propagating terraces in multistable equations and shows their dependence on propagation direction, extending understanding of wave solutions in heterogeneous media.
Findings
Existence of pulsating traveling fronts in multidimensional heterogeneous media.
Identification of propagating terraces as a key solution structure.
Dependence of terrace shape on propagation direction.
Abstract
We devote this paper to the issue of existence of pulsating travelling front solutions for spatially periodic heterogeneous reaction-diffusion equations in arbitrary dimension, in both bistable and more general multistable frameworks. In the multistable case, the notion of a single front is not sufficient to understand the dynamics of solutions, and we instead observe the appearance of a so-called propagating terrace. This roughly refers to a finite family of stacked fronts connecting intermediate stable steady states whose speeds are ordered. Surprisingly, for a given equation, the shape of this terrace (i.e., the involved intermediate states or even the cardinality of the family of fronts) may depend on the direction of propagation.
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Pulsating solutions for multidimensional bistable and multistable equations
Thomas Giletti and Luca Rossi
Univ. Lorraine, IECL UMR 7502, Vandoeuvre-lès-Nancy, France
CNRS, EHESS, PSL Research University, CAMS, Paris, France
Abstract
We devote this paper to the issue of existence of pulsating travelling front solutions for spatially periodic heterogeneous reaction-diffusion equations in arbitrary dimension, in both bistable and more general multistable frameworks. In the multistable case, the notion of a single front is not sufficient to understand the dynamics of solutions, and we instead observe the appearance of a so-called propagating terrace. This roughly refers to a finite family of stacked fronts connecting intermediate stable steady states whose speeds are ordered. Surprisingly, for a given equation, the shape of this terrace (i.e., the involved intermediate states or even the cardinality of the family of fronts) may depend on the direction of propagation.
1 Introduction
In this work we consider the reaction-diffusion equation
[TABLE]
where is the space dimension. The diffusion matrix field is always assumed to be smooth and to satisfy the ellipticity condition
[TABLE]
As far as the regularity of the reaction term is concerned, we assume that it is at least globally Lipschitz continuous (a stronger hypothesis will be made in the general multistable case; see below).
Equation (1.1) is spatially heterogeneous. As our goal is to construct travelling fronts, i.e., self-similar propagating solutions, we impose a spatial structure on the heterogeneity. More precisely, we assume that the terms in the equation are all periodic in space, with the same period. For simplicity and without loss of generality up to some change of variables, we choose the periodicity cell to be , that is,
[TABLE]
From now on, when we say that a function is periodic, we always understand that its period is .
In the spatially periodic case, one can consider the notion of pulsating travelling front, which we shall recall precisely below. Roughly, these are entire in time solutions which connect periodic steady states of the parabolic equation (1.1). The existence of such solutions is therefore deeply related to the underlying structure of (1.1) and its steady states.
In this paper, we shall always assume that (1.1) admits at least two spatially periodic steady states: the constant 0 and a positive state . Namely, we assume that
[TABLE]
as well as
[TABLE]
We shall restrict ourselves to solutions of (1.1) that satisfy the inequality
[TABLE]
Notice that, as far the Cauchy problem is concerned, owing to the parabolic comparison principle, it is sufficient to assume that the above property is fulfilled by the initial datum (we restrict ourselves to bounded solutions, avoiding in this way situations where the comparison principle fails). Let us also mention that 0 could be replaced by a spatially periodic steady state; we make this choice to keep the presentation simpler.
The steady states [math] and will be assumed to be asymptotically stable; we shall recall what this means in a moment. Then we distinguish the situation where these are the unique periodic steady states (bistable case) to that where there is a finite number of intermediate stable states (multistable case). In the latter, we will strengthen the stability condition.
Assumption 1.1** (Bistable case).**
The functions [math] and are the unique asymptotically stable periodic steady states of (1.1).
Furthermore, there does not exist any pair , of periodic steady states of (1.1) such that .
Assumption 1.2** (Multistable case).**
The function is well-defined and continuous. There is a finite number of asymptotically stable periodic steady states, among which 0 and , and they are all linearly stable.
Furthermore, for any pair of ordered periodic steady states , there is a linearly stable periodic steady state such that .
The main difference between these two assumptions is that only the latter allows the existence of intermediate stable steady states. As we shall see, the presence of such intermediate states might prevent the existence of a pulsating travelling front connecting directly the two extremal steady states 0 and . More complicated dynamics involving a family of travelling fronts, which we refer to as a propagating terrace, may instead occur. We emphasize that the stable states in Assumption 1.2 are not necessarily ordered.
Let us recall the different notions of stability. A steady state is said to be asymptotically stable if its basin of attraction contains an open neighbourhood of in the topology; the basin of attraction of refers to the set of initial data for which the solution of the Cauchy problem associated with (1.1) converges uniformly to as .
A periodic state is said to be linearly stable (resp. unstable) if the linearized operator around , i.e.,
[TABLE]
has a negative (resp. positive) principal eigenvalue in the space of periodic functions. Owing to the regularity of from Assumption 1.2, it is rather standard to construct sub- and supersolutions using the principal eigenfunction and to use them to show that linear stability implies asymptotic stability. The converse is not true in general; this is why the bistable Assumption 1.1 is not a particular case of Assumption 1.2.
We also point out that the second part of Assumption 1.1 automatically prevents the existence of intermediate asymptotically stable steady states, thanks to a crucial result in dynamical systems due to Dancer and Hess [5] known as “order interval trichotomy”; see also [15]. We recall such result in Theorem A.1 in the Appendix.
Remark 1**.**
In the case of the spatially-invariant equation
[TABLE]
Assumption 1.1 is fulfilled if and only if is constant, say, equal to , and there exists such that for and for . This is shown in Lemma 7.2 below and the subsequent remark. Then, with the same arguments, one can readily check that Assumption 1.2 is equivalent to require that and that it has an odd (finite) number of zeroes such that, counting from smallest to largest, the odd ones (which include [math], ) satisfy (these are the only stable periodic steady states).
With a slight abuse of terminology, in the sequel we shall simply refer to the asymptotic stability as “stability”. Then a solution will be said to be “unstable” if it is not (asymptotically) stable.
The notion of pulsating fronts and terraces
Let us first recall the notion of pulsating travelling front, which is the extension to the periodic framework of the usual notion of travelling front. We refer to [19] for an early introduction of this concept.
Definition 1.1**.**
A pulsating travelling front for (1.1) is an entire in time solution of the type
[TABLE]
where , , the function is periodic in the -variable and satisfies
[TABLE]
Furthermore, we call the speed of the front, the vector its direction, and we say that connects to .
Remark 2**.**
The functions , in the above definition are necessarily two steady states of (1.1). Let us also point out that the change of variables is only invertible when , so that one should a priori carefully distinguish both functions and .
In the bistable case, our goal is to construct a pulsating front connecting to [math]. Let us reclaim a few earlier results. In [19], a pulsating front was already constructed in the special case where coefficients are close to constants. Yet dealing with more general heterogeneities turned out to be much more difficult, and only recently a pulsating front was constructed in [9] for the one-dimensional case, through an abstract framework which is similar to the one considered in the present work. Higher dimensions were tackled in [6] under an additional nondegeneracy assumption and with a more PDE-oriented approach in the spirit of [2].
However, as mentioned before, the notion of pulsating travelling front does not suffice to describe the dynamics in the more general multistable case. The good notion in such case is that of a propagating terrace, as defined in [7, 11]. An earlier equivalent notion, called minimal decomposition, was introduced in [10] in the homogeneous case.
Definition 1.2**.**
A propagating terrace connecting to [math] in the direction is a couple of two finite sequences and such that:
- •
the functions are periodic steady states of (1.1) and satisfy
[TABLE]
- •
for any , the function is a pulsating travelling front of (1.1) connecting to with speed and direction ;
- •
the sequence satisfies
[TABLE]
Roughly speaking, a propagating terrace is a superposition of pulsating travelling fronts spanning the whole range from [math] to . We emphasize that the ordering of the speeds of the fronts involved in a propagating terrace is essential. Indeed, while there may exist many families of steady states and fronts satisfying the first two conditions in Definition 1.2, only terraces can be expected to describe the large-time behaviour of solutions of the Cauchy problem associated to (1.1), see [7], which makes them more meaningful.
Main results
Before stating our theorems, let us also recall a result by Weinberger.
Theorem 1.3** (Monostable case [18]).**
Let be two periodic steady states of (1.1), and assume that any periodic function satisfying , , lies in the basin of attraction of . Then, for any , there is some such that a pulsating travelling front in the direction with speed connecting to exist if and only if .
Assumptions 1.1 or 1.2 allow us to apply this theorem around any given unstable periodic state between [math] and . To check the hypothesis of Theorem 1.3, fix and let be a stable state realizing the following minimum:
[TABLE]
Note that exists since we always assume that there is a finite number of stable periodic steady states. By either Assumptions 1.1 of 1.2, there does not exist any periodic steady state between and . Because of this, and the stability of , only the case of the order interval trichotomy Theorem A.1 is allowed. Namely, there exists a spatially periodic solution of (1.1) such that as and as . By comparison principles, this implies that any periodic initial datum with lies in the basin of attraction of . We can therefore apply Theorem 1.3 and find a minimal speed of fronts in a given direction connecting to . Applying the same arguments to (1.1) with replaced by , we find a minimal speed of fronts in the direction connecting to , where is the largest stable periodic steady state lying below . Hence, is the maximal speed of fronts for (1.1) in the direction connecting to .
After these considerations, we are in a position to state our last assumption.
Assumption 1.3**.**
For any unstable periodic steady state between [math] and and any , there holds that
[TABLE]
where and are defined above.
Notice that under the bistable Assumption 1.1, clearly and . Therefore, in that case, Assumption 1.3 means that pulsating fronts connecting to an intermediate state have to be strictly faster than pulsating fronts connecting to [math]. We point out that this hypothesis, though implicit, was already crucial in the earlier existence results for bistable pulsating fronts; see [6, 9] where it was referred to as the counter-propagation assumption.
When is , a sufficient condition ensuring Assumption 1.3 is that is linearly unstable. In such a case there holds that , as shown in Proposition A.2 in the Appendix. We also show there for completeness that if is just unstable then . The fact that the minimal speed in a monostable problem cannot be 0 seems to be a natural property. Besides the non-degenerate ( linearly unstable) case, it is known to hold for homogeneous equations as well as for some special (and more explicit) bistable equations, c.f. [8, 9] and the references therein. However, as far as we know, it remains an open problem in general.
Our first main result concerns the bistable cases.
Theorem 1.4** (Bistable case).**
If Assumptions 1.1 and 1.3 are satisfied, then for any , there exists a monotonic in time pulsating travelling front connecting to [math] in the direction with some speed .
This theorem slightly improves the existence result of [6], which additionally requires the stability or instability of the steady states to be linear. However, we emphasize that our argument is completely different: while in [6] the proof relies on an elliptic regularization technique, here we proceed through a time discretization and a dynamical system approach.
Remark 3**.**
Our previous theorem includes the possibility of a front with zero speed. However, there does not seem to be a unique definition of a pulsating front with zero speed in the literature, mainly because the change of variables is not invertible when . Here, by Definition 1.1 a front with zero speed is simply a stationary solution with asymptotics as . As a matter of fact, in the zero speed case our approach provides the additional property that there exists a function as in Definition 1.1, such that solves (1.1) for any . However, this function lacks any regularity, so that in particular it is not a standing pulsating wave in the sense of [6].
Theorem 1.5** (Multistable case).**
If Assumptions 1.2 and 1.3 are satisfied, then for any , there exists a propagating terrace connecting to [math] in the direction .
Furthermore, all the are stable steady states and all the fronts are monotonic in time.
Earlier existence results for propagating terraces dealt only with the one-dimensional case, where a Sturm-Liouville zero number and steepness argument is available [7, 11]. We also refer to [17] where a similar phenomenon is studied by an energy method in the framework of systems with a gradient structure. As far as we know, this result is completely new in the heterogeneous and higher dimensional case.
The stability of these pulsating fronts and terraces will be the subject of a forthcoming work. Let us point out that, quite intriguingly, the shape of the terrace may vary depending on the direction. More precisely, for different choices of the vector , the terrace may involve different intermediate states ; it is even possible that the number of such states varies, as we state in the next proposition.
Proposition 1.6**.**
There exists an equation (1.1) in dimension for which Assumptions 1.2, 1.3 hold and moreover:
- •
in the direction , there exists a unique propagating terrace connecting to 0, and it consists of exactly two travelling fronts;
- •
in the direction , there exists a unique propagating terrace connecting to 0, and it consists of a single travelling front.
Uniqueness here is understood up to shifts in time of the fronts. It will be especially interesting to study how this non-symmetric phenomenon affects the large-time dynamics of solutions of the Cauchy problem.
Plan of the paper
We start in the next section with a sketch of our argument in the homogeneous case, to explain the main ingredients of our method. This relies on a time discretization, in the spirit of Weinberger [18], and on the study of an associated notion of a discrete travelling front. For the sake of completeness, some of the arguments of [18] will be reclaimed along the proofs. We also point out here that the resulting discrete problem shares similarities with the abstract bistable framework considered in [9], though we shall use a different method to tackle bistable and multistable equations without distinction.
The proof of the general case is carried out in several steps:
Introduction of the iterative scheme (Sections 3.1, 3.2). 2. 2.
Definition of the speed of the front (Section 3.3). 3. 3.
Capturing the iteration at the good moment and position (Section 4.1). 4. 4.
Derivation of the travelling front properties (Section 4.2).
At this stage we shall have constructed a discrete pulsating travelling front connecting to some stable periodic steady state . In the bistable case, one necessarily has that and then it only remains to prove that the front is actually a continuous front. For the multistable case, we shall iterate our construction getting a family of travelling fronts. In order to conclude that this is a propagating terrace, we need to show that their speeds are ordered; this is the only point which requires the linear stability in Assumption 1.2. Summing up, the method proceeds as follows:
Construction of the (discrete) pulsating terrace (Section 5). 2. 6.
Passing to the continuous limit (Section 6).
Finally, Section 7 is dedicated to the proof of Proposition 1.6, which provides an example where the shape of the propagating terrace strongly depends on its direction. To achieve this, we shall exhibit a bistable equation for which pulsating fronts have different speeds, depending on their direction, see Proposition 7.1 below.
2 The 1-D homogeneous case
In order to illustrate our approach, let us consider the simpler (and, as far as travelling fronts are concerned, already well-understood [1]) bistable homogeneous equation
[TABLE]
with satisfying
[TABLE]
In this framework, pulsating fronts simply reduce to planar fronts, i.e., entire solutions of the form .
The hypotheses on guarantee that Assumption 1.1 is fulfilled with . They also entail the “counter-propagation” property, Assumption 1.3, because in the homogeneous monostable case travelling fronts have positive speeds, see [1]. Namely, fronts connecting to exist for speeds larger than some , whereas fronts connecting to [math] exist for speeds smaller than some (the latter property is derived from [1] by considering fronts moving leftward for the equation for ).
The equation in the frame moving rightward with speed reads
[TABLE]
2.1 The dynamical system
We start by placing ourselves in a more abstract framework which we shall use to define a candidate front speed , in the same way as in [18]. We shall then turn to the construction of a travelling front connecting 1 to 0. We point out that in [18], such a travelling front was only shown to exist in the monostable case, and that a different argument is needed to deal with bistable or more complicated situations.
For any given , we call the evolution operator after time 1 associated with (2.2). Namely, , where is the solution of (2.2) emerging from the initial datum . It follows from the parabolic strong maximum principle that the operator is increasing.
Let us already point out that the profile of a usual travelling front for (2.1) is a stationary solution of (2.2) and thus a fixed point for the operator . As a matter of fact, in the homogeneous case the converse is also true (this follows for instance from a uniqueness result for almost planar fronts derived in [3]). Therefore, our goal in this section will be to construct such a fixed point.
Consider a function satisfying
[TABLE]
We then define a sequence through the following iterative procedure:
[TABLE]
[TABLE]
where the maximum is taken at each .
It follows from the monotonicity of and (the latter being strict) that is nondecreasing with respect to and nonincreasing with respect to , and that it satisfies . Then, observing that
[TABLE]
for any function , we deduce that is nonincreasing with respect to . One also checks by iteration that , thanks to standard parabolic arguments. All these properties are summarized in the following.
Lemma 2.1**.**
The sequence is nondecreasing and satisfies and for all . Moreover, is nonincreasing with respect to both and , the latter monotonicity being strict in the set where .
Lemma 2.1 implies that converges pointwise to some nonincreasing function . The convergence actually holds locally uniformly in , because the are equi-uniformly Lipschitz-continuous, due to parabolic estimates. We also know that the are nonincreasing with respect to .
We then introduce
[TABLE]
One may check that is indeed a well-defined real number. Without going into the details (this a particular case of either Section 3 or [18]), we simply point out that this can be proved using some super- and subsolutions which exist thanks to the Lipschitz continuity of as well as to the choice of in the basin of attraction of .
We further see that the definition of does not depend on the particular choice of the initialising function . Indeed, if satisfying (2.3) is the initialisation of another sequence, then for there holds that for sufficiently large. From this and the monotonicity of one deduces by iteration that the value of obtained starting from is larger than or equal to the one provided by . Equality follows by exchanging the roles of and .
We shall also use the fact that
[TABLE]
This comes from the openness of the set , which is established in either Section 3 or [18] in the more general periodic case. Let us briefly sketch a more direct proof. Let be such that . We can find such that . Arguing by induction and exploiting (2.4), one sees that
[TABLE]
Thus, which implies that because and are nonincreasing and is supported in . Using the next result we eventually deduce that for all in some neighborhood of , and thus .
Lemma 2.2**.**
Let and be such that . Then for all .
Proof.
The monotonicities provided by Lemma 2.1 yield for all and , which, recalling the definition of the sequences , implies in turn that . Then, taking and exploiting (2.4), we get
[TABLE]
Passing to the limit as (and using again the monotonicity of the sequence) we find that for all and . Observe that is the solution of the ODE computed on the integers and starting from , whence it converges to . This shows that . ∎
2.2 Capturing the sequence at the good moment and position
From here we diverge from Weinberger’s scheme which, as we mentioned above, does provide a front in the monostable case but not in the bistable one.
Consider . Because , we have seen before that we can find such that for . This means that, starting from , the sequence is simply given by iterations of , namely,
[TABLE]
Fix and, for , define the point through the relation
[TABLE]
Note that exists because and by Lemma 2.1. Moreover we claim that, by construction of , there holds that
[TABLE]
Let us postpone the proof of this for a moment and continue with our construction. By (2.7), one readily sees that, up to increasing if need be, the following holds:
[TABLE]
Conditions (2.6),(2.8) determine our choice of the diagonal sequence .
Let denote the solution of the Cauchy problem for (2.2) with initial datum (notice that satisfies parabolic estimates up to time because ). Property (2.6) and the monotonicity of imply that
[TABLE]
that is, the sequence is nondecreasing. Furthermore, the function inherits the monotonicity in of the initial datum, which is strict by Lemma 2.1 because .
We finally consider the translation of . By parabolic estimates up to , we have that (up to subsequences)
[TABLE]
locally uniformly in , where satisfies the equation (2.2) with . We further know that
[TABLE]
and that is nondecreasing in and nonincreasing in .
Let us now prove (2.7). First, the function being nonincreasing, for any we deduce from (2.4) that
[TABLE]
An iterative argument then shows that
[TABLE]
Now it follows from (2.5) that . Indeed, assume by contradiction that . Then by comparison with the ODE, we immediately conclude that as . However, by construction, , hence and therefore the monotonicity of eventually yields
[TABLE]
contradicting (2.5). We infer from the above that there exists such that
[TABLE]
where the last inequality follows from (2.9). This means that
[TABLE]
from which (2.7) immediately follows.
2.3 The function converges to the profile of a front
We recall that, by construction, the sequence is nondecreasing with respect to . In particular, we can define
[TABLE]
By parabolic estimates, the above limit exists (up to subsequences) locally uniformly in and is a periodic in time solution of (2.2) with . Moreover, satisfies and inherits from that it is nonincreasing with respect to . Let us check that it is actually a travelling front.
Using parabolic estimates and the monotonicity with respect to , we see that the sequences converge locally uniformly in (up to subsequences) to two steady states of the same ODE (here we used that this ODE does not admit non-trivial periodic solutions), i.e., are constantly equal to [math], or . The fact that and the monotonicity in then imply that
[TABLE]
Next, we claim that . Once this claim is proved, one may show by a sliding argument as in [3] that is actually independent of , and thus it is the profile of a front moving with speed . Therefore, in order to conclude this preliminary section, we need to rule out the cases and . Condition (2.8) is specifically devised to prevent the latter possibility. Indeed, it yields
[TABLE]
Passing to the limit as in this inequality we get
[TABLE]
whence . By the monotonicity in , we then derive
[TABLE]
It remains to rule out the case . To achieve this, we shall compare with the spreading speeds associated with the restrictions of to and respectively, which are of the well-known (even in the periodic and multidimensional case) monostable type. This is where the “counter-propagation” property comes into play. We recall that such a property is guaranteed in the homogeneous case we are considering now, but should be imposed in general through Assumption 1.3.
We proceed by contradiction and suppose that . Thus , as well as defined by
[TABLE]
Consider now the solution of (2.1) with initial datum . Since is an unstable steady state, we can use the well-known result about the spreading speed for solutions of the monostable equation from [1]. Namely, we find a speed such that
[TABLE]
[TABLE]
It is also proved in [1] that coincides with the minimal speed of fronts, c.f. Theorem 1.3, that is, using the same notation as in the introduction, there holds that . Since satisfies (2.1) and , we infer by comparison that for all , there holds as . Recalling that is periodic in time and that we are assuming that , we eventually find that .
Let us go back now to the construction of , . We have that, up to a subsequence,
[TABLE]
In particular, one can take a sequence such that, locally uniformly in ,
[TABLE]
Now for any and , let be such that
[TABLE]
Let us extract another subsequence so that the solution of (2.2) with initial datum
[TABLE]
converges locally uniformly in to some , which is an entire solution of (2.2) with . Moreover, is nondecreasing in , nonincreasing in , and satisfies One can further see that ; this follows from the fact that , which, in turn, is a consequence of (2.10) and of the contradictory assumption . In particular, we have that defined by
[TABLE]
Owing again to the spreading result for the monostable equation, there exists a speed such that the solution of (2.1) emerging from satisfies
[TABLE]
[TABLE]
On one hand, by comparison we get that . On the other hand, by monotonicity we know that for all , . One then easily infers that . We have finally reached a contradiction.
3 The iterative scheme in the periodic, -dimensional case
We now turn to the general periodic case in arbitrary dimension. Because the equation is no longer invariant by any space translation, we need to introduce a more complicated operator involving also a somewhat artificial variable. This makes things more technical, though the overall strategy remains the same.
3.1 A time discretization
The main ingredient of our proofs is inspired by Weinberger [18], and consists in looking for travelling fronts as fixed points of an appropriate family of mappings issued from a time discretization of (1.1).
First, we use the notation
[TABLE]
to indicate the solution to (1.1) with initial datum , evaluated at . In the sequel, we shall often omit to write “” and we shall just use as the variable involved in the initial datum.
Let us now recall (see Definition 1.1) that a pulsating travelling front in a direction is a solution of (1.1) of the form
[TABLE]
with periodic in the -variable and converging to two distinct steady states as . In particular, one may look at a travelling front as a family , using the second variable as an index.
Let us translate the notion of pulsating travelling front to the discrete setting.
Definition 3.1**.**
A discrete travelling front in a direction with speed is a function which is periodic in its first variable, satisfies
[TABLE]
and connects two steady states and , i.e.,
[TABLE]
where convergences are understood to be uniform.
Clearly, if is a (continuous) pulsating travelling front then is a discrete travelling front, at least if so that the change of variables is invertible. The converse is a priori not obvious: we immediately deduce from Definition 3.1 that, for every , the function coincides with a solution of the parabolic equation (1.1) on the 1-time-step set , but to recover a pulsating front we should have that the are time-translations of the same solution. This difficulty will be overcome by instead considering different discretizations with time steps converging to [math].
Remark 4**.**
This part of the argument, about going from discrete to continuous travelling fronts, was actually omitted by Weinberger in the paper [18] that we refer to in Theorem 1.3 above. A proof in the homogeneous case can be found in [14]. However this does not seem to raise significant difficulties in the periodic case. Let us also mention that one can see that a discrete travelling front gives rise to an “almost planar generalized transition front” in the sense of Berestycki and Hamel [3]. Then, in some situations (typically under some strong stability assumptions and provided also that the front speed is not zero), it is shown in [3, Theorem 1.14] that an almost planar transition front is also a travelling front in a usual sense.
Definition 3.1 leads us to define the family of mappings for and as follows:
[TABLE]
Rewriting the mapping as
[TABLE]
we see that the discrete travelling fronts are given by the fixed points of . Formula (3.2) also allows one to use parabolic estimates to obtain regularity with respect to .
In a similar fashion, notice that any spatially periodic stationary state of (1.1) is a -independent fixed point of for any and . The converse is also true, as a consequence of the next result.
Proposition 3.2**.**
Let be a 1-periodic in time solution of (1.1) which is also periodic in space.
Then is actually stationary in time.
Proof.
Let us first introduce the energy
[TABLE]
for any periodic function , where
[TABLE]
Then one may check that the solution of (1.1) satisfies
[TABLE]
On the other hand, the mapping is -periodic, whence it is necessarily constant. This implies that . ∎
We also derive several properties of the mapping which will be useful later.
Proposition 3.3**.**
For given and , the mapping satisfies the following properties.
Periodicity:* if is periodic with respect to then this holds true for .* 2.
Monotonicity:* if then*
[TABLE]
if in addition for all , then
[TABLE] 3.
Continuity:* if as locally uniformly in , for some , then*
[TABLE]
locally uniformly in . 4.
Compactness:* for any sequence bounded in and any , there exists a subsequence (depending on ) along which the function converges in as .*
Proof.
Let be a periodic function in its first variable. Then for any , and , the periodicity of equation (1.1) yields
[TABLE]
This proves .
Statement simply follows from (3.2) and the parabolic weak and strong comparison principles.
The continuity property follows from standard parabolic estimates. Indeed, take a sequence converging locally uniformly in and for some to . Then the functions defined by
[TABLE]
solve, for any fixed , a linear parabolic equation of the type
[TABLE]
with less than or equal to the Lipschitz constant of , together with the initial condition . It follows from the comparison principle and parabolic estimates that converges to 0 locally uniformly with respect to , . In particular, converges locally uniformly as to , which owing to (3.2) translates into the desired property.
The last statement is an immediate consequence of the parabolic estimates. ∎
Let us point out that the operators were initially introduced by Weinberger in [18], who exhibited the existence of a spreading speed of solutions in a rather general context, but only proved the existence of pulsating fronts in the monostable case. These operators also fall into the scope of [9] (though they lack the compactness property required in some of their results). In particular, though one may proceed as in the aforementioned paper at least in the bistable case, we suggest here a slightly different approach. In some sense, our method is actually closer to the initial argument of Weinberger in [18], and though we do not address this issue here, it also seems well-suited to check that the speed of the pulsating front (or the speeds of the propagating terrace) also determines the spreading speed of solutions of the Cauchy problem associated with (1.1).
3.2 Basic properties of the iterative scheme
From this point until the end of Section 4, we assume that the following holds.
Assumption 3.1**.**
The equation (1.1) admits a finite number of asymptotically stable steady states, among which [math] and .
Furthermore, for any pair of ordered periodic steady states , there is an asymptotically stable steady state such that .
This hypothesis is guaranteed by both the bistable Assumption 1.1 and the multistable Assumption 1.2.
For the sake of completeness as well as for convenience (several of the following properties will play in important role here), we repeat some of the arguments of [18]. In particular, we start by reproducing how to define the speed (depending on the direction ) which was shown in [18] to be the spreading speed for planar like solutions of the Cauchy problem. Roughly, for any we construct a time increasing solution of the parabolic equation in the moving frame with speed in the direction . Later we shall turn to a new construction of a pulsating travelling front connecting to a stable periodic steady state with speed .
The construction starts with an function satisfying the following:
[TABLE]
Observe that the limit exists uniformly with respect to , and thus it is continuous (and periodic). The last condition is possible due to the (asymptotic) stability of . Owing to the comparison principle, it implies that lies in the basin of attraction of too.
Then, for any and , we define the sequence by
[TABLE]
where was defined in (3.1). The maximum is to be taken at each point .
Lemma 3.4**.**
The sequence defined by (3.4) is nondecreasing and satisfies for . Moreover, is periodic in , nonincreasing with respect to and and satisfies uniformly with respect to . Lastly, is uniformly continuous in , uniformly with respect to , and .
Proof.
Firstly, recall from Proposition 3.3 that the operator is order-preserving. By recursion, one readily checks that the sequence is nondecreasing. Moreover, for , always by Proposition 3.3. Another consequence of (3.2) and the comparison principle is that if is monotone in then so is ; whence the monotonicity of with respect to .
Let us now investigate the monotonicity with respect to . We derive it by noting that if , then (3.2) yields
[TABLE]
for any function . If furthermore is nonincreasing in its second variable, then so is and we deduce that
[TABLE]
Thus, owing to the monotonicity of the , the monotonicity of with respect to follows by iteration.
Next, we want to show that . This is an easy consequence of the same property for , but we now derive a quantitative estimate which will prove useful in the sequel. For this, we observe that, for any fixed , there exists a supersolution of (1.1) of the type , provided is sufficiently large. Namely, by bounding by a linear function and also using the boundedness of the components of the diffusion matrix and their derivatives, we can find such that satisfies
[TABLE]
Let us show that if and satisfy
[TABLE]
then there holds
[TABLE]
Indeed, we have that
[TABLE]
whence
[TABLE]
Up to increasing , we can assume without loss of generality that . Now, for any , we have that
[TABLE]
As a consequence
[TABLE]
and therefore, by iteration,
[TABLE]
In particular uniformly with respect to ; however, this limit may not be uniform with respect to nor to .
Finally, we point out that the uniform continuity in the crossed variables follows from our choice of and parabolic estimates. Indeed, the function
[TABLE]
is not only uniformly continuous but also , and its derivatives are uniformly bounded by some constant which only depends on the terms in the equation (1.1) as well as . Recalling that is the maximum of and , the latter being also uniformly continuous, we reach the desired conclusion. ∎
From Lemma 3.4 and the fact that the mapping preserves spatial periodicity, one readily infers the following.
Lemma 3.5**.**
The pointwise limit
[TABLE]
is well-defined, fulfils and is periodic in and nonincreasing with respect to both and .
Moreover, the convergence
[TABLE]
holds locally uniformly in , but still pointwise in .
We emphasize that no regularity properties could be expected for with respect to the second variable. Let us further note that, as a byproduct of the proof of Lemma 3.4, and more specifically of (3.5), we deduce by iteration that
[TABLE]
This will be used in later arguments, in particular in the proof of Lemma 4.2 below.
3.3 Defining
We want to define as the largest such that , where comes from Lemma 3.5. This is the purpose of the following lemma.
Lemma 3.6**.**
For any , the function satisfies uniformly with respect to . Moreover,
* for large enough;* 2.
* for large enough.*
In particular, the following is a well-defined real number:
[TABLE]
Proof.
We first prove that, for large enough,
[TABLE]
uniformly with respect to and , for any . In particular, because by the monotonicity of , this will yield statement of the lemma.
In order to show (3.8), we first introduce, in a similar fashion as in the proof of Lemma 3.4, two real numbers and large enough such that the function satisfies the parabolic inequality
[TABLE]
Here is the supremum with respect to of the Lipschitz constants of .
Next, we let be the solution of (1.1) emerging from the initial datum , where is the positive constant in condition (3.3), that is, such that lies in the basin of attraction of . Hence uniformly as . The choice of and imply that, for any , the function
[TABLE]
is a subsolution of (1.1). Let us now pick large enough such that
[TABLE]
and thus, for any given ,
[TABLE]
Now, iterating (3.2) one gets
[TABLE]
It then follows from the comparison principle that , that is,
[TABLE]
From one hand, this inequality implies that if then (3.8) holds uniformly with respect to and , for any , whence statement of the lemma. From the other hand, if we derive
[TABLE]
Because the sequence is nondecreasing and converges to , we get that
[TABLE]
for any . Passing to the limit as and recalling that is monotone with respect to its second variable, we infer that uniformly with respect to .
It remains to prove statement . Fix . Because satisfies (3.3), for there holds that for all . As seen in the proof of Lemma 3.4, this implies that (3.6) holds for all smaller than or equal a suitable value , and then in particular for , i.e., for all . As a consequence, and, by monotonicity with respect to , we also have that if . ∎
We see now that, while is the supremum of the speeds such that , it actually holds that . This will be crucial for the construction of the front.
Lemma 3.7**.**
The following properties are equivalent:
, 2.
, 3.
**
In particular, in the case , we have that for all and , there exists such that .
Proof.
By definition of and monotonicity of with respect to , we already know that implies . We also immediately see that implies , using the fact that is nonincreasing in and as uniformly with respect to (see Lemma 3.5).
It remains to prove that implies . We assume that holds and we start by showing , which will serve as an intermediate step. Thanks to the monotonicity with respect to and the fact that and for , we get
[TABLE]
Since the operator is order preserving, we also get that
[TABLE]
It follows from the two inequalities above that
[TABLE]
A straightforward induction leads to
[TABLE]
Passing to the limit on both sides, we infer that
[TABLE]
Recalling that and that is nonincreasing with respect to , we find that does not depend on . Since we know by Lemma 3.6 that , we conclude that . We have shown that implies .
Next we show that the set of values of such that holds is open. Using (3.2), it is readily seen by iteration that, for any fixed , the function inherits from the continuity with respect to the variable (though this is not uniform with respect to ). From this, by another iterative argument and (3.5), one deduces that locally uniformly in as , for every . Openness follows.
We are now in the position to conclude the proof of Lemma 3.7. Assume that holds for some . From what we have just proved, we know that holds true for some , and thus holds for too. By the definition of , we have that , that is, ) holds. ∎
Before proceeding we have to check that is intrinsic to (1.1) and does not depend on . This will be useful later on, when going back to the continuous case and more specifically to check that the speed of the discrete front we shall obtain does not depend on the choice of the time step of the discretization.
Lemma 3.8**.**
The speed does not depend on the choice of satisfying the properties (3.3).
Proof.
Consider two admissible functions and for the conditions (3.3). Let , and , denote the functions and constants constructed as above, starting from , respectively. Take an arbitrary . Using the first part of Lemma 3.6 and the fact that locally uniformly in as , we can find and such that
[TABLE]
Because if , one readily deduces that for all , whence for all by the monotonicity in . It follows that
[TABLE]
By iteration we eventually infer that for all . This implies that . Switching the roles of and we get the reverse inequality. ∎
4 A discrete travelling front with speed
Under the Assumption 3.1, we have constructed in the previous section a candidate speed for the existence of a pulsating travelling front. In the current one we show that there exists a discrete travelling front in the direction with speed connecting to some stable periodic steady state (in the sense of Definition 3.1). To derive the stability of the latter we will make use of the additional Assumption 1.3. We recall that in order to define the minimal speeds and appearing in Assumption 1.3, we have shown after the statement of Theorem 1.3 that the hypothesis there is guaranteed by Assumption 1.2. However, this was achieved without using the linear stability hypothesis in Assumption 1.2 and therefore and are well defined under Assumption 3.1 too.
The strategy is as follows. For , Lemma 3.7 implies that for sufficiently large. We deduce that the nondecreasing sequence is eventually given by the recursion . Roughly speaking, we have constructed a solution of (1.1) which is non-decreasing with respect to -time steps in the frame moving with speed in the direction . We now want to pass to the limit as in order to get a fixed point for and, ultimately, a pulsating travelling front in the direction . To achieve this, we shall need to capture such solutions at a suitable time step, and suitably translated.
Remark 5**.**
The equivalent argument in the continuous case of what we are doing here is to construct a family of functions such that is a subsolution of (1.1), and to use this family and a limit argument to find a pulsating front. Notice that an inherent difficulty in such an argument is that a subsolution does not satisfy regularity estimates in general. We face a similar difficulty in the discrete framework.
4.1 Choosing a diagonal sequence as
Consider the function satisfying (3.3) from which we initialize the construction of the sequence .
The first step in order to pass to the limit as is to capture the sequence at a suitable iteration, and roughly at the point where it ‘crosses’ the limit , which, we recall, lies in the basin of attraction of .
Lemma 4.1**.**
For , there exists such that, for all , the quantity
[TABLE]
is a well-defined real number. In addition, there holds
[TABLE]
[TABLE]
While property (4.1) holds for any provided is sufficiently large, the same is not true for (4.2). The latter will play a crucial role for getting a travelling front in the limit. Loosely speaking, it guarantees that, as , there exists an index starting from which the “crossing point” moves very little along an arbitrary large number of iterations.
Proof of Lemma 4.1.
Fix . First of all, from the equivalence between and in Lemma 3.7, we know that there exists such that for . We deduce that the nondecreasing sequence is simply given by the recursion , that is property (4.1). Now, Lemma 3.4 implies that the set
[TABLE]
is either a left half-line or the empty set, while Lemmas 3.5-3.6 show that it is nonempty for sufficiently large. As a consequence, up to increasing if need be, its supremum is well-defined and finite for .
It remains to prove (4.2), for which we can assume that . We claim that
[TABLE]
Indeed by the definition of and (3.7), for we get
[TABLE]
Hence if (4.3) does not hold, we would find a large contradicting the last statement of Lemma 3.7.
Next, let be the integer part of . Owing to (4.3), we can further increase to ensure that
[TABLE]
Moreover, we know that for all and , due to the monotonicity of with respect to . In particular, for any integer , we also have that
[TABLE]
from which we deduce (4.2). ∎
In the next lemma, we state what we obtain when passing to the limit as .
Lemma 4.2**.**
There exists a lower semicontinuous function satisfying the following properties:
* is uniformly continuous in , uniformly with respect to ;* 2.
* is periodic in and nonincreasing in ;* 3.
* is nondecreasing with respect to ;* 4.
\lim_{n\to+\infty}\Big{(}\max_{y\in[0,1]^{N}}\big{(}\bar{p}(y)-(\mathcal{F}_{e,c^{*}})^{n}[a^{*}](y,y\cdot e)\big{)}\Big{)}>0; 5.
* uniformly as ;* 6.
* uniformly as , where is a periodic steady state of (1.1).*
Thanks to our previous results, we know that the properties - are fulfilled with and replaced respectively by any and with sufficiently large. In order to get - we need to pass to the limit by picking the at a suitable iteration . The choice will be given by Lemma 4.1, which fulfils the key property (4.2). When passing to the limit, we shall face the problem of the lack of regularity in the -variable. This will be handled by considering the following relaxed notion of limit.
Lemma 4.3**.**
Let be a bounded sequence of functions from to such that is periodic in and nonincreasing in , and is uniformly continuous in , uniformly with respect to and . Then there exists a subsequence such that the following double limit exists locally uniformly in :
[TABLE]
Furthermore, is uniformly continuous in uniformly with respect to . Finally, the function is periodic in and nonincreasing and lower semicontinuous in .
Proof.
Using a diagonal method, we can find a subsequence converging locally uniformly in to some function for all . The function is uniformly continuous in uniformly with respect to . We then define by setting
[TABLE]
This limit exists thanks to the monotonicity with respect to , and it is locally uniform with respect to by equicontinuity. We point out that on , but equality may fail. We also see that is uniformly continuous in uniformly with respect to , and it is nonincreasing and lower semicontinuous in .
Next, we define . We need to show that is periodic in . Fix and . Then, using the periodicity of , for every satisfying and , we get
[TABLE]
Passing to the limit along the subsequence we deduce
[TABLE]
Now we let and and we derive
[TABLE]
That is, . Because and are arbitrary, this means that for all , i.e., is periodic in its first variable. ∎
Proof of Lemma 4.2.
Consider the family of functions , with , given by Lemma 4.1. From Lemma 3.4, we know that this family is uniformly bounded by 0 and , and that any element is periodic in the first variable and nonincreasing in the second one. Moreover, the functions are uniformly continuous in , uniformly with respect to and , due to Lemma 3.4. In particular, any sequence extracted from this family fulfils the hypotheses of Lemma 4.3. Then, there exists a sequence such that the following limits exist locally uniformly in :
[TABLE]
We further know that the function satisfies the desired properties -. The definition of translates into the following normalization conditions:
[TABLE]
[TABLE]
where we have used the monotonicity in and for the second one also the locally uniform convergence with respect to .
Let us check property . Using the continuity property of Proposition 3.3 together with (3.5) we obtain
[TABLE]
We now use property (4.1) to deduce that the latter term is larger than or equal to
[TABLE]
which, in turn, is larger than or equal to
[TABLE]
for any rational . Letting , we eventually conclude that
[TABLE]
Property then follows by iteration.
Next, fix and a positive . We know by (4.1) that, for every and ,
[TABLE]
Let large enough so that and . We deduce from (4.2) that and thus
[TABLE]
Letting now and next and using the continuity of (hence of ) in the locally uniform topology, we eventually obtain
[TABLE]
from which property readily follows.
It remains to look into the asymptotics of as . We define the left limit
[TABLE]
which exists by the monotonicity of with respect to , and it is locally uniform in . Then, by monotonicity and periodicity, we deduce that the limit holds uniformly in . The function is continuous and periodic. Moreover, the normalization condition (4.5) yields . Finally, by the continuity of we get, for all ,
[TABLE]
This means that the sequence is nondecreasing. Because is independent of , by the definition (3.1) we see that reduces to , that is, to the solution of (1.1) with initial datum computed at time . Then, because and recalling that the latter lies in the basin of attraction of , we infer that as , and the limit is uniform thanks to Proposition 3.3.
In a similar fashion, we define the (locally uniform) right limit
[TABLE]
As before, we see that the limit is uniform in , it is continuous, periodic and the sequence is nondecreasing. Therefore, converges uniformly as to a fixed point of . This means that the solution of (1.1) with initial datum is 1-periodic in time and periodic in space and therefore, by Proposition 3.2, it is actually stationary. We conclude that holds, completing the proof of the lemma. ∎
4.2 The uppermost pulsating front
From now on, will denote the function provided by Lemma 4.2 and more specifically defined by (4.4) for a suitable sequence . Next we show that the discrete front is given by the limit of the iterations . We shall further show that its limit state as is stable.
Lemma 4.4**.**
There holds that
[TABLE]
locally uniformly in and pointwise in , where is nonincreasing in and it is a discrete travelling front connecting to some stable periodic steady state , in the sense of Definition 3.1.
Proof.
Let us observe that, because is a nondecreasing sequence, it is already clear that it converges pointwise to some function which is periodic in and nonincreasing in . By writing
[TABLE]
we deduce from Proposition 3.3 that converges as locally uniformly in , for any . In particular, we can pass to the limit in the above equation and conclude that is a fixed point for .
Let us now turn to the asymptotics as . We know from Lemma 4.2 that as . We can easily invert these limits using the continuity of and the uniformity of the limit , together with the monotonicity of in the second variable. This yields .
Next, property of Lemma 4.2 implies that
[TABLE]
Writing , we deduce that the limit is uniform and therefore . We also deduce from the previous inequality that . As seen in Proposition 3.2, any solution of (1.1) that is periodic in both time and space is actually constant in time. Thus, is a periodic steady state of (1.1), denoted by , that satisfies , where the second inequality is strict due to the elliptic strong maximum principle.
It remains to check that is stable. We shall do this using Assumption 1.3. Proceed by contradiction and assume that is unstable. As seen after the statement of Theorem 1.3, Assumption 3.1 guarantees the existence of a minimal (resp. maximal) stable periodic steady state above (resp. below) , denoted by (resp. ), and also that (1.1) is of the monostable type between and , as well as between and . As a consequence, Theorem 1.3 provides two minimal speeds of fronts and connecting to and to respectively. Our Assumption 1.3 states that . According to Weinberger [18], these quantities coincide with the spreading speeds for (1.1) in the ranges between and and between and respectively. Namely, taking a constant such that , and considering the Heaviside-type function
[TABLE]
we have that for any , the solution of (1.1) spreads with speed in the following sense: for any ,
[TABLE]
[TABLE]
A similar result holds when looking at solutions between and .
Let us show that . Since and , we can choose large enough so that
[TABLE]
Now we argue by contradiction and assume that . Then, calling , we have that and thus, by comparison,
[TABLE]
Consequently, because
[TABLE]
we find that for sufficiently large and for all such that . Taking for instance and passing to the limit as yields , where is the limit of (up to subsequences and modulo the periodicity; recall that the limit is uniform). This is impossible because was chosen in such a way that . As announced, there holds .
Let us now show that . The strategy is to follow a level set between and of a suitable iteration and to pass again to the (relaxed) limit as . Notice that, in the situation where (coming from Lemma 4.2) satisfies , then it would be sufficient to consider the sequence to capture such a level set; however it may happen that and for this reason we need to come back to the family .
For , we can find such that the following properties hold:
[TABLE]
[TABLE]
Then, recalling the definition (4.4) of and up to extracting a subsequence of the sequence appearing there, we find that for every , there holds
[TABLE]
[TABLE]
Notice that in (4.8) and (4.9) we have translated by instead of because of the ‘relaxed’ limit in (4.4). In order to pick the desired level set, take a constant small enough so that . We then define
[TABLE]
Observe that and actually , as a consequence of the definition of in Lemma 4.1 and the fact that , since it lies in the basin of attraction of . Because uniformly in , we deduce from (4.9) that, for large enough,
[TABLE]
whence . It then follows from (4.8) that, for sufficiently large,
[TABLE]
We now apply Lemma 4.3 to the sequence \big{(}(\mathcal{F}_{e,c^{*}})^{n_{k}}[a_{c^{k},n(c^{k})}](y,z+\hat{z}_{k}+y\cdot e)\big{)}_{k\in\mathbb{N}}. This provides us with a function periodic in and nonincreasing in and such that is uniformly continuous in , uniformly with respect to . Moreover, proceeding exactly as in the proof of Lemma 4.2, we deduce from the inequality that is nondecreasing with respect to . The choice of further implies that
[TABLE]
[TABLE]
Finally, property (4.10) and the monotonicity in yield .
We are now in a position to prove that . We again use a comparison argument with an Heaviside-type function. Indeed, from the above, we know that , where
[TABLE]
According to Weinberger’s spreading result in [18], the solution of (1.1) spreads with speed , which implies in particular that for any ,
[TABLE]
By comparison we obtain
[TABLE]
However, because is nondecreasing in , we have that
[TABLE]
and thus
[TABLE]
For and there holds , whence
[TABLE]
By periodicity, we can drop the in the above expression. We eventually deduce from (4.11) that , that is, due to the arbitrariness of .
In the end, we have shown that , which directly contradicts Assumption 1.3. Lemma 4.4 is thereby proved. ∎
Remark 6**.**
Under the bistable Assumption 1.1, obviously has to be 0, and therefore we have constructed a discrete travelling front connecting to [math]. In order to conclude the proof of Theorem 1.4, one may directly skip to Section 6.
5 A (discrete) propagating terrace
At this stage we have constructed the ‘highest floor’ of the terrace. Then in the bistable case we are done. In the multistable case it remains to construct the lower floors, and thus we place ourselves under the pair of Assumptions 1.2 and 1.3. To proceed, we iterate the previous argument to the restriction of (1.1) to the ‘interval’ , with given by Lemma 4.4, and we find a second travelling front connecting to another stable state smaller than . For this the stability of is crucial. The iteration ends as soon as we reach the [math] state, which happens in a finite number of steps because there is a finite number of stable periodic steady states.
This procedure provides us with some finite sequences and , where the are linearly stable periodic steady states and the are discrete travelling fronts connecting to . We need to show that the speeds are ordered, so that the family of travelling fronts we construct is a (at this point, discrete) propagating terrace. It is here that we use the linear stability hypothesis in Assumption 1.2. As we mentioned in the introduction, the order of the speeds is a crucial property of the terrace, which is not a mere collection of unrelated fronts but what should actually emerge in the large-time limit of solutions of the Cauchy problem.
Proposition 5.1**.**
Under Assumptions 1.2 and 1.3, the speeds of the fronts are ordered:
[TABLE]
Proof.
We only consider the two uppermost travelling fronts and and we show that . The same argument applies for the subsequent speeds.
We first come back to the family and the function used to construct the front connecting to . The main idea is that, capturing another level set between and , we should obtain a solution moving with a speed larger than or equal to , but which is smaller than . Then, comparing it with the second front , we expect to recover the desired inequality .
In the proof of Lemma 4.4, we have constructed two sequences , , with , such that (4.8), (4.9) hold with and . Take a small positive constant so that lie in the basin of attraction of , for , and moreover . Then define
[TABLE]
The inequality (4.9) implies that, for and , there holds
[TABLE]
Because , we infer that, for large enough,
[TABLE]
whence, by (4.8),
[TABLE]
We now consider the sequence of functions \big{(}(\mathcal{F}_{e,c_{1}})^{n_{k}}[a_{c^{k},n(c^{k})}](y,z+\hat{z}_{k}+y\cdot e)\big{)}_{k\in\mathbb{N}} and apply Lemma 4.3. We obtain a function which is periodic in , nonincreasing in . Moreover, it is such that is uniformly continuous in , uniformly with respect to , and is nondecreasing with respect to . Our choice of further implies
[TABLE]
[TABLE]
The latter property, together with the facts that is nondecreasing in and that lies in the basin of attraction of , yield
[TABLE]
On the other hand, using (5.1) one infers that
[TABLE]
Our aim is to compare with using the sliding method. To this end, we shall increase a bit without affecting its asymptotical dynamics, exploiting the linear stability of , . Let and denote the periodic principal eigenfunctions associated with the linearization of (1.1) around and respectively, normalized by . Then consider a smooth, positive function which is periodic in and satisfies
[TABLE]
and define, for ,
[TABLE]
Now, because the limits as satisfy the following inequalities uniformly in :
[TABLE]
and using also (5.2), we can define the following real number:
[TABLE]
Let us assume by way of contradiction that the speed of satisfies . Then if we fix
[TABLE]
we can find such that
[TABLE]
Consider the following functions:
[TABLE]
[TABLE]
We find from one hand that
[TABLE]
because . Hence, recalling that are periodic in and satisfy , which yields
[TABLE]
we infer that . Then, by uniform continuity, for small enough. From the other hand, using the fact that, for all ,
[TABLE]
[TABLE]
we derive
[TABLE]
which is nonpositive by (5.4). Let us point out that, if was a supersolution on the whole domain, this would contradict the comparison principle; unfortunately we shall see below that we only know it to be a supersolution in some subdomains. Therefore we shall first use a limiting argument as to find that also lies below a shift of itself, so that the comparison principle will become available.
From the above we deduce the existence of a time such that for and . There exists then a sequence satisfying as . We observe that the sequence is necessarily bounded because the inequalities (5.5) hold true for all times, as a consequence of the fact that, for solutions of parabolic equations such as (1.1), the property of being bounded from one side by a steady state at the limit in a given direction is preserved along evolution.
The linear stability of and means that the periodic principal eigenvalues , of the associated linearized operators are negative. Then, for a given solution to (1.1), the function , with and , satisfies for , ,
[TABLE]
for some . Thus, because , the regularity of allows us to find such that is a supersolution to (1.1) whenever and . From now on, we restrict to . Take in such a way that
[TABLE]
as well as, for all ,
[TABLE]
[TABLE]
We have just seen that these conditions imply the property that is a supersolution to (1.1) in corresponding subdomains. We claim that this implies that
[TABLE]
which will in turn guarantee that functions and do not become trivial as .
To prove (5.8), consider in such that . Clearly, is bounded because is. Let be the limit of (a subsequence of) . The functions and converge as (up to subsequences) locally uniformly in to some functions , satisfying
[TABLE]
The function is a solution to (1.1). Instead, is a supersolution to (1.1) for and or if respectively one or the other of the following inequalities holds for infinite values of :
[TABLE]
Hence if (5.8) does not hold we have that is a supersolution of (1.1) in a half-space orthogonal to containing the point , and thus the parabolic strong maximum principle yields in such half-space for . This is impossible because, by the boundedness of , the property (5.5) holds true with replaced by . This proves (5.8).
Using (5.8) we can find a family such that is bounded and as . Arguing as before, by considering the translations , with such that , we obtain at the limit (up to some subsequences) two functions and which are now both solutions to (1.1) and satisfy
[TABLE]
where and . If then , otherwise we can only infer that for all times and that . In both cases, roughly the spreading speed of has to be less than that of , which ultimately will contradict the inequality .
More precisely, since is bounded, we derive
[TABLE]
and thus because thanks to Proposition 3.3. Next, fix and consider a sequence satisfying for larger than some . From one hand, using (5.6) and the monotonicity of with respect to its second variable, we get
[TABLE]
from which we deduce
[TABLE]
From the other hand, (5.7) yields
[TABLE]
whence, letting be such that for all , we find that
[TABLE]
The above right-hand side converges to as , and therefore, by (5.9), we derive for sufficiently large,
[TABLE]
This contradicts the inequality , concluding the proof of the proposition. ∎
6 To the continuous case
In this section, we place ourselves under Assumption 1.3 and either Assumption 1.1 or 1.2. In both situations, we have constructed in the previous sections a ‘discrete’ travelling front or terrace (i.e., a finite and appropriately ordered sequence of discrete travelling fronts) in the sense of Definition 3.1. Clearly our argument may be performed with any positive time step (not necessarily equal to 1), and thus we can consider a sequence of ‘discrete’ terraces associated with the time steps , . By passing to the limit as , we expect to recover an actual propagating terrace in the sense of Definition 1.2.
Remark 7**.**
As we mentioned earlier, in some cases this limiting argument is not needed. Indeed, it is rather straightforward to show that a discrete travelling front, regardless of the time step, is also a generalized transition front in the sense of Berestycki and Hamel [3]; without going into the details, we recall that a transition front is an entire solution whose level sets remain at a bounded distance uniformly with respect to time. Under an additional monotonicity assumption on the neighborhood of limiting stable steady states, and provided that the speed is not 0, they have proved that any almost planar transition front is also a pulsating travelling front. However, this is not true in general, therefore we proceed with a different approach.
For any direction and any , the discrete terrace associated with the time step consists of a finite sequence of ordered stable steady states
[TABLE]
and a finite sequence of discrete travelling fronts connecting these steady states with nondecreasing speeds. Because the belong to the finite set of periodic stable steady states of (1.1), we can extract from the sequence of time steps a subsequence along which the family does not actually depend on . Therefore, we simply denote it by . Let be the corresponding fronts, i.e., the are periodic in , nonincreasing in and satisfy
[TABLE]
with
[TABLE]
as well as
[TABLE]
As a matter of fact, the speeds are proportional to the time step , by a factor depending on . This is the subject of the next lemma, whose proof exploits the link between the front and the spreading speed, which is the heart of the method developed by Weinberger in [18] and used in the present paper.
Lemma 6.1**.**
There exists a sequence
[TABLE]
such that
[TABLE]
Proof.
The proof amounts to showing that
[TABLE]
We do it for . Then, since the intermediate states do not depend on , and because the subsequent speeds were constructed in a similar fashion, the case is analogously derived.
Let us first show that . This easily follows from our earlier construction. Let us consider the shifted evolution operators associated with the time steps . In analogy with (3.2), these are defined by
[TABLE]
Then, for satisfying (3.3), we define the sequence through (3.4) with replaced by . Fix and call . Because
[TABLE]
we find that , where the inequality comes from the fact that in the time step the sequence is ‘boosted’ times by the function , while only once. We can readily iterate this argument to get that for all . It then follows from Lemma 3.7 that if then This means that , which is the first desired inequality.
To prove the reverse inequality, we shall use Lemma 3.8 which asserts that does not depend on the choice of satisfying (3.3). Then we choose the function generating the sequences , of a particular form. Namely, we consider a solution of the Cauchy problem associated with (1.1), with a continuous periodic initial datum such that lies in the basin of attraction of , for some constant . In particular, there exists such that for . We then initialize with a function satisfying . It follows that for all , and thus, by parabolic estimates,
[TABLE]
provided is smaller than some . Then, by the periodicity of and , we get
[TABLE]
We now initialize with a function satisfying
[TABLE]
We deduce that
[TABLE]
We claim that for all . This property holds for . Suppose that it holds for some . Using the property of , and recalling that , we find that
[TABLE]
Iterating times we get
[TABLE]
The claim is thereby proved for all . Then, as before, owing to Lemma 3.7 we conclude that . ∎
We are now in a position to conclude the proofs of Theorems 1.4 and 1.5. Namely, in the next lemma we show that for each level of the discrete propagating terrace one can find a continuous propagating terrace whose fronts have the same speed from Lemma 6.1. Then, by ‘merging’ the so obtained terraces, one gets a propagating terrace of (1.1) connecting to [math]. In the bistable case, the terrace reduces to a single pulsating travelling front, thanks to Assumptions 1.1 and 1.3. Instead, in the multistable case, our construction allows the possibility that the continuous propagating terrace contains more fronts than the discrete terraces did. This is actually not true in typical situations (such as the already mentioned ones where the argument of Berestycki and Hamel [3] applies), but it remains unclear whether this can happen in general.
Lemma 6.2**.**
For any , there exists a propagating terrace connecting to in the sense of Definition 1.2. Moreover, all the fronts in this terrace have the speed .
Proof.
The aim is to pass to the limit as in the sequence of discrete terraces associated to the time steps . The first step consists in showing that the profiles converge as . Due to the lack of regularity with respect to the second variable, the limit will be taken in the relaxed sense of Lemma 4.3.
As usual, the argument is the same regardless of the choice of and then for simplicity of notation we take . Beforehand, we shift so that
[TABLE]
[TABLE]
where is a given function lying in the basin of attraction of . We know that is a fixed point for by construction, that is, it is a fixed point for owing to the previous lemma. Then, for , observing that
[TABLE]
where , we see that it is a fixed point for too.
We now apply Lemma 4.3 to the sequence . We point out that the hypothesis there that is uniformly continuous in , uniformly with respect to and , follows from parabolic estimates due to the fact that all the are fixed points of . We obtain in the relaxed limit (up to subsequences) a function which is periodic in , nonincreasing in and such that is uniformly continuous in , uniformly with respect to . Moreover, satisfies the normalization (6.1)-(6.2). Finally, by the above consideration, it also follows from Lemma 4.3 and the continuity of the operators in the locally uniform topology, that fulfils
[TABLE]
Let denote the solution of the problem (1.1) with initial datum . Then for any , we have that
[TABLE]
By continuity of the solution of (1.1) with respect to time, as well as the monotonicity of with respect to its second variable, we immediately extend this inequality to all positive times, i.e.,
[TABLE]
In particular, solves (1.1) for positive times in the whole space; by periodicity in the first variable, it is straightforward to check that it solves (1.1) for negative times too.
Remark 8**.**
We have shown above that is continuous with respect to both its variables, on the condition that .
To show that is a pulsating travelling front in the sense of Definition 1.1, it only remains to check that it satisfies the appropriate asymptotic. By monotonicity in the second variable, we already know that exist, and moreover these limits are periodic steady states of (1.1). We further have that and , because satisfies (6.1)-(6.2). Recalling that lies in the basin of attraction of , we find that .
Let us now deal with the limit as . Let us call . This is a periodic steady state satisfying ; however it could happen that the first inequality is strict too. We claim that is stable. In which case, changing the normalization (6.1)-(6.2) by taking in the basin of attraction of , and then passing to the limit as before, we end up with a new function . Because of this normalization, together with the fact that , it turns out that connects to another steady state . Then, by iteration, we eventually construct a terrace connecting to .
It remains to show that is stable. We proceed by contradiction and assume that this is not the case. In particular, . Let , denote respectively the smallest stable periodic steady state above and the largest stable periodic steady state below , and let and be the minimal speeds of fronts connecting to and to respectively. By the same comparison argument as in the proof of Lemma 4.4 one readily sees that the speed of satisfies
[TABLE]
We recall that the argument exploits Weinberger’s result in [18] which asserts that coincides with the spreading speed for solutions between and . Next, one shows that
[TABLE]
This is achieved by choosing the normalization
[TABLE]
[TABLE]
with between and and in the basin of attraction of , which is possible because . One gets in the (relaxed) limit a solution satisfying (because compared with , the function is obtained as the limit of an infinite shift of the sequence ), as well as . Then the desired inequality follows again from the spreading result. Finally, combining the previous two inequalities one gets , which contradicts our Assumption 1.3. This concludes the proof. ∎
Remark 9**.**
As pointed out in Remark 2, in general it is not equivalent to find a function as above and a pulsating front solution. The function constructed above actually gives rise to a whole family of pulsating fronts . In the case when , then this family merely reduces to the time shifts of a single front. In the case when , however, it is much less clear how these fronts are related to each other: as observed earlier the function may be discontinuous with respect to , hence the resulting family may not be a continuum of fronts (in general, it is not).
7 Highly non-symmetric phenomena
It is clear that, because equation (1.1) is heterogeneous, the terrace provided by Theorem 1.5 depends in general on the direction . In this section, we shall go further and exhibit an example where not only the fronts , but also the intermediate states and even their number, i.e., the number of ‘floors’ of the terrace, change when varies. Obviously this cannot happen in the bistable case where the stable steady states reduce to . Namely, we prove Proposition 1.6.
The main idea is to stack a heterogeneous bistable problem below an homogeneous one. Then in each direction there exists an ordered pair of pulsating travelling fronts. Whether this pair forms a propagating terrace depends on the order of their speeds. If the latter is admissible for a terrace, that is, if the uppermost front is not faster than the lowermost, then the terrace will consists of the two fronts, otherwise it will reduce to a single front. Since those speeds are given respectively by a function and by a constant , and since the heterogeneity should make such a function nonconstant, it should be possible to end up with a case where the number of fronts of the terrace is nonconstant too.
Owing to the above consideration, the construction essentially amounts to finding a heterogeneous bistable problem for which the speed of the pulsating travelling front is nonconstant in . While such property should be satisfied by a broad class of problems (perhaps even generically), getting it in the context of a bistable equation (in the sense of Assumption 1.1) is rather delicate. We were not able to find an example of this type in the literature.
We place ourselves in dimension and denote a generic point in by , as well as , . We derive the following.
Proposition 7.1**.**
There exists a function which is periodic in the variable , satisfies Assumptions 1.1, 1.3 with , and for which the equation
[TABLE]
admits a unique (up to shifts in time) pulsating travelling front connecting to [math] for any given direction .
Furthermore, the corresponding speeds satisfy .
The function we construct will be periodic in with some positive period, which one can then reduce to (to be coherent with the rest of the paper) by simply rescaling the spatial variables.
We first introduce a smooth function with the following properties:
[TABLE]
[TABLE]
We let be the quantity identified by the relation
[TABLE]
Next, we consider two smooth functions , , satisfying and
[TABLE]
where denotes the closed support. We then set
[TABLE]
being positive constants that will be chosen later. We finally extend to by periodicity in the -variable, with period . Observe that , and that equality holds for , . Until the end of the proof of Proposition 7.1, when we say that a function is periodic we mean that its period is .
Let us show that the equation (7.1) is bistable in the sense of Assumption 1.1. We shall also check that it fulfils Assumption 1.3, for which, owing to Proposition A.2 in the Appendix, it is sufficient to show that any intermediate state is linearly unstable. We shall need the following observations about the periodic steady states of the homogeneous equation.
Lemma 7.2**.**
For the equation
[TABLE]
the following properties hold:
the constant steady states [math], are linearly stable, whereas is linearly unstable; 2.
any periodic steady state which is not identically constant is linearly unstable; 3.
there does not exist any pair of periodic steady states.
Proof.
Statement is trivial, because the principal eigenvalue of the linearized operator around the constant states , , is equal to .
Statement is a consequence of the invariance of the equation by spatial translation. Indeed, if is a steady state which is not identically constant then it admits a partial derivative which is not identically equal to [math]; if in addition is periodic then must change sign. Then, differentiating the equation with respect to we find that is a sign-changing eigenfunction of the linearized operator around , with eigenvalue 0. It follows that the principal eigenvalue of such operator in the space of periodic functions (which is maximal, simple and associated with a positive eigenfunction) is positive, that is, is linearly unstable.
We prove statement by contradiction. Assume that (7.3) admits a pair of periodic steady states . We know from - that such solutions are linearly unstable. Then, calling the principal eigenfunction associated with , one readily checks that for sufficiently small, is a stationary strict subsolution of (7.3). Take such that the above holds and in addition . It follows from the parabolic comparison principle that the solution with initial datum is strictly increasing in time and then it converges as to a steady state satisfying . This is impossible, because is linearly unstable by - and then its basin of attraction cannot contain the function . ∎
Remark 10**.**
Consider the homogeneous equation (1.4) with a general reaction term . Statement of Lemma 7.2 holds true in such case, because its proof only relies on the spatial-invariance of the equation. Thus, if Assumption 1.1 holds, the uppermost steady state must be constant. One then finds that Assumption 1.1 necessarily implies that
[TABLE]
As a matter of fact, these conditions are equivalent to Assumption 1.1. Indeed, even though the constant state may not be linearly unstable (if ), one sees that is unstable in a strong sense: belongs to the basin of attraction of [math] if and of if . This is enough for the proof of Lemma 7.2 to work.
We can now derive the bistability character of (7.1).
Lemma 7.3**.**
Consider the equation (7.1) with defined by (7.2). The following properties hold:
any periodic steady state is linearly unstable; 2.
there does not exist any pair of periodic steady states.
Proof.
The proof is achieved in several steps.
Step 1: any periodic steady state which is not -independent is linearly unstable.
Because the equation (7.1) is invariant by translation in the -variable, we can proceed exactly as in the proof of Lemma 7.2 .
Step 2: if is a periodic steady state which is -independent then .
We recall that is defined by . Suppose that is not constant, otherwise it is identically equal to [math] or . Consider an arbitrary with . Let be such that and in . Multiplying the inequality by and integrating on we get
[TABLE]
This implies first that , and then that . Recalling the definition of , we find that , whence . We have thereby shown that whenever , and therefore that .
Step 3: if (7.1) admits a pair of periodic steady states , then there exists a periodic steady state which is not linearly unstable.
If is not linearly unstable then the Steps 1-2 imply that , which means that the conclusion holds with in such case. Suppose now that is linearly unstable. It follows from the same argument as in the proof of Lemma 7.2 that for sufficiently small, the function is a supersolution of (7.1), which is larger than , where is the principal eigenfunction of the linearized operator around . The comparison principle then implies that the solution of (7.1) with initial datum is strictly decreasing in time and then it converges as to a steady state satisfying . Such state cannot be linearly unstable, because its basin of attraction contains the function . Then, as before, by the Steps 1-2.
Step 4: conclusion.
Assume by contradiction that there is a periodic steady state which is not linearly unstable. From the Steps 1-2 we deduce that . This means that is a stationary solution of (7.3). Lemma 7.2 then implies that is linearly unstable for (7.3), and thus for (7.1) too. This is a contradiction. We have thereby proved . Suppose now (7.1) admits a pair of periodic steady states . Then Step 3 provides us with a periodic steady state which is not linearly unstable, contradicting . ∎
Let be defined by (7.2), with still to be chosen. Lemma 7.3 implies that the equation (7.1) is bistable in the sense of Assumption 1.1 with . Moreover, thanks to Proposition A.2 in the Appendix, it also entails Assumption 1.3. We can thus apply Theorem 1.4, which provides us with a monotonic in time pulsating travelling front connecting to [math], for any given direction . Let be the associated speed. Before showing that , let us derive the uniqueness of the pulsating travelling front and the positivity of its speed.
Lemma 7.4**.**
The equation (7.1) with defined by (7.2) admits a unique (up to shifts in time) pulsating travelling front connecting to [math] for any given direction .
Furthermore, the front is strictly increasing in time and its speed is positive.
Proof.
Firstly, the positivity of the speed of any front connecting to [math] is an immediate consequence of the facts that and that equation (7.3) admits solutions with compactly supported initial data which spread with a positive speed [1].
Next, the fronts provided by Theorem 1.4 are monotonic in time. Applying the strong maximum principle to their temporal derivative (which satisfies a linear parabolic equation) we infer that the monotonicity is strict, unless they are constant in time. The positivity of their speed then implies that they are necessarily strictly increasing in time. Hence, the second part of the lemma holds for the fronts given by Theorem 1.4. If we show that such fronts are the only ones existing we are done.
Throughout this proof, we use the notation to indicate a point in . Let , , be two pulsating travelling fronts for (7.1) connecting to [math] in a given direction . We have seen before that necessarily . This means that the transformation is invertible and thus enjoys the regularity in coming from the parabolic regularity for (at least , with bounded derivatives). Let us suppose to fix the ideas that . We shall also assume that either or is the front provided by Theorem 1.4, so that we further know that it is decreasing in .
We use a sliding method. The conditions and imply that for any , the following property holds for sufficiently large (depending on ):
[TABLE]
The above property clearly fails for large, thus we can define as the supremum for which it is fulfilled. Call and . Observe that is just a temporal translation of , because , whence it is still a solution of (7.1). We see that
[TABLE]
Using again and one infers that a maximizing sequence for has necessarily bounded. By periodicity, we can assume that the sequence is contained in . Hence, there exists such that
[TABLE]
It follows that
[TABLE]
Next, if is the front decreasing in provided by Theorem 1.4 then for we find that
[TABLE]
where we have used the equality . Similarly, if is decreasing in then, for , we get
[TABLE]
Namely, in any case, lies below until , when the two functions touch. Both and are solutions of (7.1). Moreover, because for close to [math] and , and , one readily checks that the function is a supersolution of (7.1) in the regions where it is smaller than or larger than , for some small depending on and . If the contact point were in one of such regions, the parabolic strong maximum principle would imply that there, for , which is impossible because and . Therefore, we have that
[TABLE]
Now, because , the above bounds imply that both and stay bounded as . Calling the limits as of (some converging subsequences of) , , respectively, we eventually deduce that
[TABLE]
The parabolic strong maximum principle finally yields for , . This concludes the proof of the lemma. ∎
Proof of Proposition 7.1.
We need to show that for a suitable choice of . The proof is divided into several parts.
Step 1: for there holds that as .
Fix an arbitrary . We want to construct a subsolution of (7.1) of the form
[TABLE]
for a suitable function . Let be such that
[TABLE]
We then define as follows:
[TABLE]
with so that . For we compute
[TABLE]
which is negative for large. This implies that, for sufficiently large (depending on ), there exists such that
[TABLE]
It also yields that as . Thus, for large enough there holds that . From now on we restrict ourselves to such values of .
Direct computation shows that the function satisfies (in the weak sense)
[TABLE]
Hence, if , i.e., if , recalling that , we get
[TABLE]
Consider first the case . We see that
[TABLE]
Recalling that , we get . This means that is a subsolution of (7.1) in the region .
Instead, if , there holds that and thus
[TABLE]
Observe that because , whence provided . Then, under such condition, it turns out that is a subsolution of (7.1) in the region too.
We finally extend to [math] on and we change it into the constant on . This is still of class and, for and large enough, the function is a generalized subsolution of (7.1) in the whole space.
Notice that shifts in the direction with speed . Moreover, for fixed time, it is compactly supported and bounded from above by . It follows that, up to translation in time, it can be placed below the pulsating travelling front in the direction . This readily implies by comparison that the speed of the latter satisfies . Step 1 is thereby proved due to the arbitrariness of .
Step 2: for , there exists , depending on but not on , such that .
We introduce the following function:
[TABLE]
This is a strict supersolution of (7.3). Indeed, we have that
[TABLE]
where the last inequality holds because if and if . We now let be such that , that is,
[TABLE]
In order to have we impose . We finally define
[TABLE]
The function is increasing and lower semicontinuous in , because .
Consider now a pulsating travelling front for (7.1) in the direction connecting to [math]. The functions and are periodic in the variable. Moreover, there exists such that for all . Assume by contradiction that the inequality fails for some positive time and let be the infimum of such times. Then, because is increasing in the first variable and is continuous, we have that for all . Moreover, there exist some sequences and such that for all . By the periodicity of in , it is not restrictive to assume that the sequence is bounded. The sequence is also bounded, because from one hand
[TABLE]
which is larger than if , while from the other hand which converges to as , uniformly in and locally uniformly in . Let be the limit of (a converging subsequence) of . The continuity of and the lower semicontinuity of yield , whence in particular . Summing up, we have that
[TABLE]
Let be such that . Using the inequalities
[TABLE]
we find that .
We claim that for and . Clearly, the claim holds if , because and coincide there. Take and . We see that
[TABLE]
where the last equality follows from the definition of . In particular, and therefore . This proves the claim. Thus, the function being a strict supersolution of (7.3), as seen before, we deduce that is a (continuous) strict supersolution of (7.1) for , , . Recalling that (7.4) holds with , a contradiction follows from the parabolic strong maximum principle.
We have thereby shown that for all , . Now, the function satisfies, for , ,
[TABLE]
(recall that ). From this and the fact that for , one easily infers that the speed of satisfies
[TABLE]
Step 3: there exist such that .
Take , so that the conclusions of the Steps 1-2 hold. Hence we can choose large enough in such a way that is larger than the upper bound provided by the Step 2. It follows that . ∎
Proof of Proposition 1.6.
Let be the function provided by Proposition 7.1 and let be the speed of the unique (up to shifts in time) pulsating travelling front connecting to [math] in the direction . We know that . Fix . We claim that there exists a bistable reaction term satisfying and such that the homogeneous equation
[TABLE]
admits a (unique up to shift) planar front with a speed equal to . Such a reaction term can be obtained under the form
[TABLE]
for a suitable choice of . Indeed, for any , (7.5) admits a unique planar front, see [1], and it is not hard to check that its speed depends continuously on . To conclude, we observe that [1] and that as , as we have shown in the Step 1 of the proof of Proposition 7.1. We point out that the proof of Lemma 7.4 still works for the homogeneous equation (7.5). Namely, the planar front is the unique pulsating travelling front for (7.5) (up to shift in time or space).
We can now define the reaction as follows:
[TABLE]
This function is of class because, we recall, . Moreover, it is a superposition of two reaction terms which are bistable in the sense of Assumption 1.1, due to Lemmas 7.2, 7.3. Let us show that satisfies Assumption 1.2 with and , , .
We claim that any periodic steady state satisfying and is linearly unstable. By Lemmas 7.2 and 7.3, we only need to consider the case when . Assume by contradiction that such a is not linearly unstable. Because the equation is invariant in the direction , the Step 1 of the proof of Lemma 7.3 implies that is -independent, i.e., . On the level set we necessarily have that , because otherwise . Then, the function being periodic, there exists such that and . Let be such that and in . Then in there holds that . Multiplying this inequality by and integrating on we get
[TABLE]
This is impossible, because for any , by definition of the function . The claim is proved.
Summing up, we know that all periodic steady states of (1.1) are linearly unstable, excepted for the constant states which are linearly stable. As shown in the proof of Lemma 7.2, between any pair of linearly unstable periodic steady states there must exists a periodic steady state which is not linearly unstable. This implies that Assumption 1.2 holds, as announced. It entails Assumption 1.3 too, owing to Proposition A.2 in the Appendix.
We are in the position to apply Theorem 1.5. This provides us with a propagating terrace in any direction . Two situations may occur: either the terrace reduces to one single front connecting to [math], or it consists of two fronts, one connecting to and the other connecting to [math]. In the latter case, we have by uniqueness that the two fronts are respectively given (up to translation in time) by the unique planar front for (7.5) increased by , which has speed , and by the unique pulsating front of Proposition 7.1, having speed . This case is ruled out if because this violates the condition on the order of the speeds of the propagating terrace, see Definition 1.2. Therefore, when the terrace consists of a single front connecting 2 to 0, and proceeding as in the proof of Lemma 7.4, one can show that this front is unique up to time shift.
Conversely, let us show that if then the case of a single front is forbidden. Suppose that there exists a pulsating travelling front connecting to [math] in the direction with some speed . Observe that the argument for the uniqueness result in the proof of Lemma 7.4 still works if or if . Hence, on one hand, applying this argument with equal to the front connecting to [math] and with we get . On the other hand, taking and equal to the planar front for (7.5) yields . We eventually infer that , a contradiction. Therefore, when , a terrace necessarily consists of two fronts, and as we pointed out above each of them is unique up to time shift.
We have proved that there exists a unique propagating terrace in any given direction and that it consists of two fronts if and only if . This concludes the proof of the proposition because . ∎
Appendix
Here we recall the order interval trichotomy of Dancer and Hess [5]; see also [15].
Theorem A.1** ([5]).**
Let be two periodic steady states of (1.1). Then one of the following situations occurs:
there is a periodic steady state satisfying , 2.
there exists an entire solution to (1.1) such that is an increasing family of periodic functions satisfying
[TABLE] 3.
there exists an entire solution to (1.1) such that is a decreasing family of periodic functions satisfying
[TABLE]
This trichotomy plays a crucial role in our proofs, as it allows us to look at multistable equations as juxtapositions of monostable problems. Owing to Theorem 1.3 quoted from Weinberger [18], we infer the existence of the minimal speeds of fronts above and below any unstable steady state . In Assumption 1.3 we require that such speeds are strictly ordered. In the next proposition we show that a sufficient condition guaranteering this hypothesis is that is linearly unstable. We also point out for completeness that the order between the speeds is always true in the large sense.
Proposition A.2**.**
Assume that is of class .
Under either Assumption 1.1 or 1.2, and with the notation of Assumption 1.3, for any unstable periodic steady state between [math] and and any , there holds that
[TABLE]
Moreover, if is linearly unstable, then
[TABLE]
Proof.
We show the inequalities for , the ones for follow by considering the nonlinear term and the direction .
We recall that is the minimal speed of fronts in the direction connecting to , where is the smallest stable periodic steady state lying above . Let denote the periodic principal eigenvalue of the linearized operator
[TABLE]
The instability of implies that . We distinguish two cases.
Linearly unstable case: .
Because the operator is self-adjoint, it is well-known that can be approximated by the Dirichlet principal eigenvalue of in a large ball (see, e.g., [4, Lemma 3.6]). Namely, calling the principal eigenvalue of in with Dirichlet boundary condition, there holds that as . Then we can find large enough so that . Let be the associated principal eigenfunction. The function defined by
[TABLE]
satisfies for , ,
[TABLE]
Hence, by the regularity of , there exists such that is a subsolution of (1.1) for , . Up to reducing , we further have that for all .
Assume by way of contradiction that (1.1) admits a pulsating front connecting to with a speed . Let be such that . Observe that is bounded from below away from for and , because and . We can then find such that
[TABLE]
Because is a subsolution of (1.1) for and , which is equal to for , the comparison principle eventually yields
[TABLE]
contradicting . This shows that in this case.
Case .
The definition of , together with either Assumption 1.1 or 1.2, imply that the case is the only possible one in Theorem A.1 with and . Let be the corresponding entire solution. For , let and denote the periodic principal eigenvalue and eigenfunction of the operator
[TABLE]
Fix . We define the following function:
[TABLE]
We compute
[TABLE]
For , there exists depending on such that and moreover, for , there holds that
[TABLE]
Then take , also depending on , in such a way that
[TABLE]
We deduce that, for and such that , the following holds:
[TABLE]
Now, for , call as before and the Dirichlet principal eigenvalue and eigenfunction of in . Direct computation shows that for , is the Dirichlet principal eigenfunction of in , with eigenvalue . It follows that , because otherwise would contradict the properties of this principal eigenvalue. Because as , we deduce that . Namely, attains its minimal value [math] at and thus, being regular (see [13]) it satisfies for some and, say, (this inequality can also be derived using the min-max formula of [16, Theorem 2.1]). As a consequence, taking we find that, for smaller than some , the function is a subsolution of (1.1) for the values such that and .
Assume now by contradiction that there is a pulsating front connecting to with a speed and . Up to translation in time, it is not restrictive to assume that . Let be such that for and . It follows that for and . On the other hand, we see that
[TABLE]
The right-hand side goes to as because . We can then find such that for all and . Hence, because , we can apply the comparison principle and infer that , which is a contradiction. We have shown that fronts cannot have a speed smaller than , for sufficiently small, whence . ∎
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