Abstract
We study traveling wavefront solutions for two reaction–diffusion systems, which are derived respectively as diffusion approximations to two nonlocal spatial SIRS models. These solutions characterize the propagating progress and speed of the spatial spread of underlying epidemic waves. For the first diffusion system, we find a lower bound for wave speeds and prove that the traveling waves exist for all speeds bigger than this bound. For the second diffusion system, we find the minimal wave speed and show that the traveling waves exist for all speeds bigger than or equal to the minimal speed. We further prove the uniqueness (up to translation) of these solutions for sufficiently large wave speeds. The existence of these solutions are proved by a shooting argument combining with LaSalle’s invariance principle, and their uniqueness by a geometric singular perturbation argument.
Keywords: Spatial SIRS models, Traveling waves, Shooting argument, LaSalle’s invariance principle, Geometric singular perturbation
Introduction
Throughout history the spread of infectious diseases has had devastating effects on humans and animal populations, which in many cases results in epidemics or even pandemics, and causes the deaths of millions of people over vast areas of the earth. Examples of such infectious diseases include the European Plague or Black Death, small pox, influenza, HIV/AIDS, avian flu, swine flu, SARS, West Nile virus [23, 26]. In order to prevent or limit the impact of epidemics and provide effective control strategies and useful predictions, mathematical modelling of epidemics has become a major focus of research for understanding the underlying mechanisms that influence the spread and transmission dynamics of infectious diseases. Many epidemic models have been developed [2, 4, 6, 13, 27, 29, 30, 32, 33]. In particular, reaction–diffusion equation models and integro-differential equation models have been used to study the spatial spread of infectious diseases, and their traveling wavefront solutions have been used to investigate the question of whether an infectious disease could persist as a wave front of infectives that travels geographically across vast distances. Relevant problems include to determine the thresholds above which traveling waves exist, find the minimum speed and asymptotic speed of propagation (which are usually equal) [3], and determine the stability of the traveling wave to perturbations [20]. Due to the complexity of the models, these problems often present very challenging dynamical system problems, on which extensive research has been done since the pioneering works of Fisher [10] and Kolmogorov et al. [19]; consequently, many outstanding results have been obtained, and various methods and techniques have been developed to tackle these problems (see, e.g., [11, 13, 25, 27, 28, 31, 33] and the references therein). With the current development of more realistic and sophisticated epidemic models, the study on these problems remains very active in mathematical epidemiology.
In this paper, we study traveling wavefront solutions for two reaction–diffusion systems, both are derived as diffusion approximations to their integro-differential equations models. These models are spatial analogs of a basic SIRS endemic model in one spatial dimension. The first model is a distributed-contacts model with a kernel describing daily contacts of infectives with their neighbors or the influences, by any reason, of the infectives on their neighbors. This model, which was studied recently by Li et al. [20], extends a distributed-contacts model of Kendall [18] (a spatial analogue of a SI endemic model). The second model is a nonlocal diffusion model describing the mobility of individuals around the spatial domain. This model generalizes a distributed-infectives model considered by Medlock and Kot [24] and nonlocal dispersal models in [16, 22]. Following the approaches used in Bailey [4], Hoppensteadt [13] and Kendall [18], the aforementioned nonlocal models are approximated by reaction–diffusion systems when their kernels are local. The aim of this paper is to show the existence of traveling waves for these diffusion approximations. In this and the next two sections, we concentrate our study on the first model, and in Sect. 4 we establish corresponding results for the second model.
The basic SIRS model mentioned above is described by a system of ODEs for the evolution of an infectious disease in a well-mixed and closed population. Dividing the total population into susceptible, infective, and recovered classes, with , and denoting the fractions of their population sizes at time respectively (thus ), the governing equations of the model are:
| 1.1 |
where the infection rate , recovery rate , and the immunity loss rate are positive constants. The basic reproductive number of (1.1) is , which is the average number of infectives produced by a single infective introduced into a completely susceptible population. It has been shown [6, 12, 30] that if , then every nonnegative solution of (1.1) lying on the plane approaches the disease-free equilibrium as , implying that the disease is eventually eradicated; while if , then of (1.1) with approaches the endemic equilibrium , given by
| 1.2 |
yielding that the disease becomes endemic.
Li et al. [20] incorporated the spatial heterogeneity of epidemics into the model (1.1). Assuming that the density of the population at every position is a positive constant and letting and be respectively the fractions of the population densities of susceptibles, infectives, and recovered classes at and time (thus ), the governing equations of their model are
| 1.3 |
where , and are constant as in (1.1), and the kernel satisfying , and is the contact distribution [18], with accounting for the proportion of the infectives at position that contacts the susceptibles at . When , the model (1.3) reduces to the Kendall model [18], which was studied by Aronson [3], Barbour [5], Brown and Carr [7], and Mollison [25]. In particular, Aronson showed that the minimal wave speed is the asymptotic speed of propagation of disturbances from the steady state of the model.
In order to investigate the infection wavefronts for (1.3), Li et al. [20] studied traveling wave solutions for a diffusion approximation of (1.3) when the contact kernel is local, i.e., for , where is a small number. Assume further that the function does not change very much over the set of radius , so that the fourth derivatives of with respect to are assumed to be on such a set. Using by Taylor’s formula, where is some point between and , they obtained , and then neglecting the term, setting and using , they derived the following diffusion approximation to (1.3):
| 1.4 |
A special feature of (1.4) is the presence of the factor in front of diffusion term . Though is small from the above derivation, we do not assume this in the rest of the paper.
Assume the reproduction number . This implies that the system (1.4) has two uniform steady states and . Li et al. [20] looked for traveling wavefront solutions of (1.4) of the form , , that move with constant speed and connect the disease free and endemic equilibria and at , respectively. By letting they reduced the problem to finding the heteroclinic solutions of the ODE system
| 1.5 |
satisfying the conditions
| 1.6 |
They studied these solutions by using formal arguments and numerical simulations. Our purpose is to establish rigorously the following:
Theorem 1.1
Let , and .
Remark 1
-
(i)
The first lower bound in (1.7) is a necessary condition for the solutions of (1.5) on the 2-dimensional unstable manifold to be nodal near . That is, the quantity is the least value for the minimal wave speed.
-
(ii)
The second lower bound in (1.7) results from the nonconstant diffusion in (1.4) and the Lyapunov function used in the proof of Theorem 1.1. We believe that this bound could be improved via constructing a better Lyapunov function.
-
(iii)
The heteroclinic solutions obtained in Theorem 1.1 may be nodal or spiral near . For sufficiently large , sufficient conditions on the parameters and are given at the end of Sect. 3 to determine which of the cases occurs.
-
(iv)
Comparing to the results in the literature (see, e.g. [8, 14, 15, 21]), our global uniqueness result in Theorem 1.1 is new.
-
(v)
If is sufficiently large, it can be shown by a perturbation argument [1] that there exists a traveling wave solution for the nonlocal system (1.3) near each of those obtained in Theorem 1.1. Thus, the solutions in Theorem 1.1 provide the approximations to traveling waves of (1.3).
-
(vi)
An analogous theorem is proved for our second model in Sect. 4, for which we are able to show that traveling wave solutions exist for all speeds and is the minimal speed.
The paper is organized as follows. In Sect. 2, we first change the system (1.5) by introducing new independent variable into an equivalent system (2.1), in which the denominator in (1.5) is removed. We prove Theorem 2.2 for the new system (2.1), whose existence part is proved by a shooting argument in combination with LaSalle’s invariance principle. Roughly speaking, we first show that a portion of the 2-dimensional locally unstable manifold of (2.1) lies inside a triangular pyramid (see Figs. 1, 2), then by a shooting argument that there exists at least one solution of (2.1) lying on this portion of and remaining in the pyramid on , and then by LaSalle’s invariance principle that this solution approaches as . Such an approach was first developed by Dunbar [8] and subsequently simplified and generalized by, e.g., Huang et al. [14], Lin et al. [21], and Huang [15]. Nevertheless, it is not an easy task to carry out this approach for (2.1) due to its particular feature. In Sect. 3, we prove the uniqueness part of Theorem 2.2 by a geometric singular perturbation argument [1]. This argument also gives a shorter existence proof for sufficiently large . In Sect. 4, we establish a similar theorem to Theorem 2.2 for the second model.
Fig. 1.

Sketched are the triangular pyramid and the vector field of (2.1) on its faces and
Fig. 2.

Sketched are the pyramid without its top face , the set (i.e., the sector ), and three solution orbits of (2.1) from , with the middle one being a heteroclinic orbit claimed in Theorem 2.2 (i) in the case that is spiral
Existence of Traveling Waves
Hereafter we assume that and . We first establish the following lemma.
Lemma 2.1
- (i)
- (ii)
Proof
The definition of in (i) implies , yielding that transforms onto . The rest of assertions of (i) can be verified directly with the aid of chain rule.
The definition of in (ii) implies , which together with and yielding that transforms onto . The rest of assertions of (ii) follow directly with the aid of chain rule.
Comparing the system (1.5) with (2.1), the latter is a smooth system on the whole phase space , with an invariant plane and additional equilibria consisting of the line given by the intersection of the planes and . A linearization of (2.1) at these equilibria with shows that there are -dimensional unstable manifold and 1-dimensional center manifold. Roughly speaking, this excludes the existence of heteroclinic solutions of (2.1) connecting the origin and these equilibria.
It follows from Lemma 2.1 that Theorem 1.1 is equivalent to the following theorem.
Theorem 2.2
-
(i)
(Existence) If satisfies (1.7), then there exists a solution to (2.1) and (2.2).
-
(ii)
(Uniqueness) If is sufficiently large, then the solution to (2.1) and (2.2) is unique (up to a translation).
In the rest of the section, we show Theorem 2.2 (i) via several lemmas. The solutions of (2.1) and (2.2) to be shown lie in the open triangular pyramid (see Fig. 1):
where is the smaller positive root of the equation given in (2.5) below. We thus start with our study of the solutions of (2.1) starting in . The lemma below shows that such a solution, if it exits , can only do so from its two boundary sides and transversely.
Lemma 2.3
-
(i)
Both the -axis and the plane are invariant sets of (2.1).
-
(ii)
Except on their common edge , the vector field of (2.1) points to the exterior of on its faces and which lie on the planes and , respectively.
-
(iii)
At the interior points of its bottom face (which lies on the plane ), the vector field of (2.1) points to the interior of .
Proof
Since the vector field of (2.1) at each point of -axis is and satisfies the equation , the assertions in (i) follow at once.
Let be the vector field of (2.1) at a point (the closure of ). If is an arbitrary point on but not on its edges and , then since is an outward normal vector of the plane , using and we have
If is an arbitrary point on but not on its edges and , then since is an outward normal vector of the plane , using and we have . The above inequalities yield the assertions in (ii).
Since at every interior point of , the assertion (iii) follows.
In the next lemma we study the local dynamics of (2.1) at and .
Lemma 2.4
-
(i)The Jacobian matrix of the vector field of (2.1) at has two positive eigenvalues and one negative eigenvalue, and eigenvectors and associated to and respectively, where
The unstable manifold of (2.1) is 2-dimensional, which is tangent to the plane spanned by and at , and can be written as, for a sufficiently small ,2.3 -
(ii)
The Jacobian matrix of the vector field of (2.1) at has one positive eigenvalue and two other eigenvalues that are either both negative real numbers or a complex conjugate pair with negative real parts. The stable manifold of (2.1) is 2-dimensional.
Proof
A routine computation yields that the Jacobian matrices and of the vector field of (2.1) at and are, respectively
| 2.4 |
Using , we obtain that the characteristic equation of is , and the eigenvalues of are , and
| 2.5 |
Since , it follows that both and are positive with . A direct verification shows that and defined in (2.3) are the eigenvectors of associated to and , respectively. Applying the stable manifold theorem yields the assertions for in (i).
Next, the characteristic equation of is . Since , it follows that has at least one positive zero, which is denoted by . Let and be the other two zeros of . Upon using the relations among these zeros and the coefficients of , we get the equalities and . The latter equality together with yields , and the former then yields . These two inequalities imply the assertions in (ii) readily.
The following lemma shows that a portion of the -dimensional local unstable manifold of (2.1) lies in .
Lemma 2.5
Let be defined by , where and are given in (2.5). Then, for sufficiently small , there exist continuous functions and for with and as such that all points of the subset (the sector in Fig. 2) of , with defined by
lie entirely in , except for those on two edges and which lie on and respectively, where and .
Proof
Let be sufficiently small and define and by and . Note that and as . Let be sufficiently small and define to be the subset of by
It follows from Lemma 2.4 (i) that for any , there exists a unique and such that , and . Therefore, using , and , we have
and
Furthermore, if , then
and if , then
Applying the intermediate value theorem together with the fact that the vector field of (2.1) are nontangential at the interior of and yields the assertions of Lemma 2.5.
We are now in a position to show the following by a shooting argument.
Lemma 2.6
There exists a solution of (2.1) such that for and .
Proof
Fix sufficiently small and let be the curve lying on defined by
Clearly, is a continuous (open) curve, with its point lying in , and its boundary points corresponding to and corresponding to lying on the interiors of the faces and , respectively (see Fig. 2). Let be the solution of (2.1) through an arbitrary point at . We define two subsets and of by
and
Since the vector field of (2.1) at and points to the exterior of transversally, it follows from the smoothness of the vector field of (2.1) that all points of near and belong to the sets and , respectively. Thus both sets and are nonempty. The vector field of (2.1) on the faces and from Lemma 2.3 implies that both sets and are open (relative to ). Thus, by the connectedness of , the set is nonempty. Let be an arbitrary point in this set. It follows from Lemma 2.3 that the solution stays in for all . Using the vector field of (2.1) on the faces and and the invariance of together with the definition of we conclude that for all and as . This proves the lemma.
To show the solution found in Lemma 2.6 approaching as , we prove the following lemma by using LaSalle’s invariance principle.
Lemma 2.7
Assume that (1.7) holds. Then every solution of (2.1) staying in on approaches as .
Proof
Step 1. Construct a Lyapunov function for (2.1) in . As in [8], we first define a Lyapunov function in the triangle region
| 2.6 |
for the associated reaction system of (2.1):
| 2.7 |
Along the solutions of (2.7) lying in , we have, using ,
We now define a Lyapunov function for the full system (2.1) by:
Then, along solutions of (2.1) lying in , using and we have
| 2.8 |
Step 2. Show that in . To do so, we first estimate and . Since , , , and , we have if , and if , and subsequently . Since
it follows that , and then using the expression of ,
On the other hand, using , we have
Since , it follows that
Inserting the above estimates into (2.8) we get
| 2.9 |
where is the symmetric matrix given by
Note that the condition (1.7) on is equivalent to , yielding that is positive definite. It follows that for all .
Step 3. Let be an arbitrary solution of (2.1) lying in on and its -limit set. Clearly, . We show that .
Claim 1. There exists such that . If not, there would be a sequence such that , , and as . Since is bounded by and as , it follows that as , contradicting is decreasing on .
Claim 2. Let . Then either or . To show the claim, noticing that is defined on and (2.9) holds on , it follows from LaSalle’s invariance principle that . Since the two sets on the right-hand side are disconnected and is a connected set, Claim 2 follows.
Claim 3. . Assume that the claim is false. It follows from Claim 2 that as , yielding that there exists such that for . Using the second equation in (2.1) we derive that either (i) on or (ii) there exists such that and for . If the case (ii) occurs, then since on we have, for any fixed for , yielding as . This contradicts the boundedness of on . If the case (i) happens, we have on and thus for some . This implies that as , yielding that on for a sufficiently large . Noticing that the equation for is , we have on , yielding as . This contradicts the fact that on . The above contradictions prove Claim 3, whence the assertion of Step 3, and Lemma 2.7.
Proof of Theorem 2.2 (i)
It is clear from Lemmas 2.6 and 2.7 that the assertion of Theorem 2.2 (i) follows.
Uniqueness of Traveling Waves
Let and rewrite the system (2.1) as
| 3.1 |
which is a singularly perturbed system for sufficiently small , with the slow variables and and the fast variable . Noticing that (3.1) is a smooth system in the whole phase space , it follows from the Fenichel geometric singular perturbation theory [9, 17] that, for every with a sufficiently small , there exists a slow manifold (generally not unique) of (3.1) given by (see Fig. 3 for )
where as defined in the proof of Lemma 2.7 and is the closure of , and is a smooth function on . Then the slow variables of the solutions of (3.1) on satisfies the planar system
| 3.2 |
Fig. 3.

Sketched are the slow manifold and the heteroclinic orbit of (3.1) with connecting to and lying on
Lemma 3.1
For sufficiently small , if is a heteroclinic solution of (3.1) satisfying (2.2), then lies on the slow manifold ; i.e., for all .
Proof
Let be sufficiently small and a solution of (3.1) satisfying (2.2). We use two methods to show that lies on .
Method 1. From the slow manifold theory, it suffices to show that lies in a small neighborhood of the critical manifold . To show this, we let for , and have
where and . Note that since for , we have and for . Since is bounded on , we have, for and ,
yielding that lies in the neighborhood of .
Method 2. We show that for . To this end, we first derive an equation for . Let be the right-hand sides of (3.1). Noting that the local invariance of the slow manifold implies that for , where and , we have
where we used and .
Assume that for some . Without loss of generality we assume that (otherwise replacing by ). Since for sufficiently small , we have for , so that as , which contradicts the boundedness of over . Therefore, on , as desired.
In the next lemma we show that there is a unique heteroclinic solution of (3.1) lying on . For this, we need to write in (3.2) a suitable form. First, since the segment of the -axis is invariant set of (3.1) and , it follows that this segment lies on . This yields so that . Note that is a convex set in . We have by the fundamental theorem of calculus (FTOC) that with . Since , it follows that . Again applying FTOC to the function yields , where
Thus (3.2) becomes
| 3.3 |
Note that when , this system reduces (2.7).
Lemma 3.2
For sufficiently small , there is a unique (up to translation) heteroclinic solution of (3.1) that satisfies (2.2) and lies on the slow manifold .
Proof
To show the lemma, it suffices to show that, for sufficiently small , there is a unique heteroclinic solution of (3.3) lying entirely in with and . We prove this by several steps.
Step 1. We show that the unstable manifold of (3.3) at is -dimensional. The Jacobian matrix of the vector field of (3.3) is
which has a negative eigenvalue , a positive eigenvalue , and an eigenvector associated with . Thus is a saddle point of (3.3), with the unstable manifold given by for sufficiently small , and lying in the positive quadrant for .
Step 2. We show that the set is a positively invariant set of (3.3). This follows from the facts that the boundaries and of are invariant sets of (3.3), and on the remaining boundary .
Step 3. Let be the Lyapunov function defined in (2.6). We show that if sufficiently small, then along any solution of (3.3) lying in on . This follows from a direct computation:
Step 4. Let be an arbitrary solution of (3.3) lying in on . We show that . It follows from LaSalle’s invariance principle that lies in the set . Since the latter two sets are disconnected, it follows that either , or lies entirely in the set . We claim that the latter case does not happen.
Assuming that the claim is false, we have as . Note that there exists a constant such that for all and sufficiently small . It follow that there exists such that for all and . Thus, assuming , we have on so that as for some and as . It then follows from (3.3) that there exists sufficiently large such that for all , yielding as . This contradicts on . Whence the above claim holds, yielding that .
Step 5. Let be a solution of (3.3) with belonging to the unstable manifold of (3.3) at and the set . It follows from the results in Steps 1-4 that such a solution gives a heteroclinic solution of (3.3) as stated in the beginning of the proof. Its uniqueness follows from the fact that the unstable manifold of (3.3) at is 1-dimensional. This completes the proof of Lemma 3.2.
Proof of Theorem 2.2 (ii)
It is trivial to see that the assertion of Theorem 2.2 (ii) follows directly from Lemmas 3.1 and 3.2.
At the end of this section, we present conditions for the solutions found in Theorems 1.1 and 2.2 to be nodal (resp., spiral) near when is sufficiently large.
Theorem 3.3
Let be sufficiently large. If
| 3.4 |
then the solutions found in Theorem 1.1 are nodal near ; otherwise, these solutions are spiral near .
Proof
From the proof of Lemma 3.2 it suffices to study the local dynamics of the system (3.3) with near . The resulting system is (2.7), whose Jacobian matrix at is , with the characteristic equation , and the eigenvalues . In order for to be nodal, it is necessary and sufficient to require , which, after inserting the formulas for and , is found to be equivalent to the one in (3.4). Theorem 3.3 thus follows.
Clearly, (3.4) is true if the ratio is sufficiently large, and false if this ratio is close to one.
Nonlocal Diffusion SIRS Model
As mentioned in the introduction, Medlock and Kot [24] considered a distributed infectives model, which is a nonlocal diffusion SI model. Here we consider a corresponding nonlocal diffusion SIRS model, under the assumptions that (i) contacts are local but individuals move on the real line with the constant rate , and (ii) the density of the population is constant on . Still letting , and denote the fractions of the population densities of susceptible, infective, and recovered classes respectively, the governing equations of the model are:
| 4.1 |
where are positive constants, and the kernel represents the dispersal distribution and satisfies the same conditions as in (1.3), with prescribing the proportion of individuals leaving place and going to .
To derive a diffusion approximation for (4.1), we make the same assumptions for to be local as in the model (1.3), so that we have the approximations for the convolution integrals: , and . We remark that we did not include the diffusion term in the second convolution integral, for otherwise we would have to study traveling waves for a system of two reaction–diffusion equations, leading to the study of heteroclinic solutions of a -dimensional ODE system, whose existence proof turns out to be much more difficult and will be given in a different paper. Letting and using the identity yields the following diffusion approximation to (4.1):
| 4.2 |
Assuming , the system (4.2) also has the uniform steady states and with the latter defined in (1.2). Like for (1.4), we are interested in traveling wavefronts of (4.2) of the form , that connect and at and move with the constant speed . Letting , , and yields that are heteroclinic solutions of
| 4.3 |
satisfying
| 4.4 |
The following is our main result in this section.
Theorem 4.1
Assume that . Then,
Fig. 5.

Sketched are the projections of the sets and on the -plane, marked with these letters respectively
Remark 2
From the formula for in (2.5) one can check that is a decreasing function of . Since for , it follows that for . Thus, all for are the subsets of
Theorem 4.1 will be proved by similar arguments used in Sects. 2 and 3 for Theorem 2.2. We give the corresponding lemmas and the modifications of their proofs. The main distinction lies in the proof of Lemma 4.6 where, due to the unboundedness of the set (defined below), extra work is required to show that the positive semi-orbits of solutions of (4.3) lying in are bounded. For convenience, we use the same notations as those in Sects. 2 and 3. We assume hereafter that and . Since some lemmas below hold only for , we shall state this condition whenever required.
For we define the open set (see Fig. 4)
Note that is unbounded, and depends on implicitly (since depends on ).
Fig. 4.

Sketched are the set (bounded by shaded planes), the set (the sector ), and three solution orbits of (4.3) from , with the middle one being a heteroclinic orbit claimed in Theorem 4.1 (i) in the case that is spiral
Lemma 4.2
If is a solution of (4.3) with and defined on a forward maximal interval , then either for all , or leaves only from its faces or transversally.
Proof
The assertions of the lemma follow from the following facts: (i) the -axis is an invariant set of (4.3) (via directly checking); (ii) the vector field of (4.3) at each interior point of the face of points to the interior of (since ); (iii) the vector field of (4.3) at each point () of the face of points to the exterior of (since ); (iv) the vector field of (4.3) at every point of the face of with points to the exterior of (since where we used ).
Lemma 4.3
- (i)
-
(ii)
The stable manifold of (4.3) is 2-dimensional.
Proof
A direct computation shows that the Jacobian matrix of the vector field of (4.3) at is the same as that of (2.1) given in (2.4). Thus applying the proof for Lemma 2.4 (i) yields the assertions in (i).
The Jacobian matrix of the vector field of (4.3) at is given by the same matrix in (2.4) with replaced by . Then applying the same argument used there in the proof of Lemma 2.4) (ii) yields the assertion in (ii).
Lemma 4.4
Assume that . Then, for sufficiently small , there exist continuous functions and for with , and as such that all points of the subset (the sector in Fig. 4) of , with defined by
lie entirely in , except for those on its two edges and which lie on the faces and of respectively, where and .
Proof
The proof can be carried out by a similar argument in the proof of Lemma 2.5 and is omitted.
Lemma 4.5
Assume that . Then there exists a solution of (4.3) such that for all in its maximal existence interval and .
Proof
Let be sufficiently small and define an open continuous curve on by . The same shooting argument in the proof of Lemma 2.6 gives the existence of a point such that the solution of (4.3) with stays in for all in its maximal existence interval with . Since is unbounded, we do not claim here that , and instead prove this in the next lemma.
Lemma 4.6
Assume that . Let be a solution of (4.3) claimed in Lemma 4.5. Then , and lies entirely in the set with .
Proof
Step 1. Let be the function given in (2.6), and define the Lyapunov function
for . Then, along any solution of (4.3) with ,
| 4.5 |
Step 2. For notational clarity, we let be the solution of (4.3) claimed in Lemma 4.5. We prove that and lies entirely in .
Claim 1. for all . Assume the claim is false. Then there exists the smallest such that and . We indeed have for otherwise we would have , yielding is a local minimum, which contradicts for all . It then follows that enters the set immediately after (see Fig. 5). Note that, as long as remains in on , we would have , so does . This implies that remains in for all .
Since on , it follows that on , so that and . Using these estimates we conclude . Then using on and (4.3) we derive that as . Then, for , using and we have
contradicting from Step 1 that for . This shows Claim 1.
Claim 2. and for all . This is because, for all , and so that . These estimates together with and yields and the claimed estimate for .
Claim 3. on , where is the constant defined in Theorem 4.1 (i).
Assume that the claim is false. Then there exists the smallest such that , and then, at ,
| 4.6 |
This yields that enters the set immediately after , and remains in for all (see Fig. 5). Then we have on , yielding , which contradicts the fact that on .
It is clear that the assertions stated at the beginning of Step 2 follow the above claims.
Step 3. Show that as . From the assertions in Step 2, we conclude that the -limit set of lies in .
Claim 1. If , then .
Let be an arbitrary point in . Let be the solution of (4.3) through at . Then for sufficiently small we have for all . Note that the Lyapunov function is defined in this set and in this set except the point . It follows from LaSalle’s invariance principle that for . This shows , and thus Claim 1.
Claim 2. If , then .
Let . We must have , for otherwise the solution of (4.3) through at immediately exits the face which contradicts that lies in . We also must have for otherwise the solution of (4.3) through given by as , which contradicts again that lies in . This shows Claim 2.
It follows from above claims that . The connectedness of yields that either or . If the former holds, then we have lies on stable manifold of (4.3), which contradicts the fact that is the -axis. Therefore, the latter holds. This shows the assertion in Step 3, and thus Lemma 4.6.
Proof of Theorem 4.1 (i)
It is clear that the assertion in Theorem 4.1 (i) for follows from Lemmas 4.5 and 4.6. It remains to show the assertion for .
Step 1. We take an arbitrary sequence with , and as and let be a solution of (4.3) with obtained above. By translation invariance we may assume that . From Remark 2 it follows that all lie in so that they are uniformly bounded on , which together with (4.3) yields that their derivatives are uniformly bounded on . Applying Arzela–Ascoli theorem and the diagonalisation argument yields the existence of a subsequence , convergent uniformly on any compact intervals of . Let be the limit function of . It is trivial to show that lies entirely in with , and is a solution of (4.3) with .
Step 2. Let and be the - and -limit sets of , respectively. Clearly, both sets are in . We show that and .
Since the Lyapunov function defined in the proof of Lemma 4.6 is also defined for and the formula for holds as well, employing the same argument used in Step 3 in the proof of Lemma 4.6 gives .
To show , we claim that lies on the face of , i.e., . Assume this is false and let with . Then there exists a sequence such that and as , implying as by the continuity of at . On the other hand, is decreasing, it follows that as . Let be the solution of (4.3) through at . Then for small we have lies in for all . The same argument above shows that for . Then a differentiation gives that for , yielding for . In particular we have . Since is arbitrarily chosen, we conclude that . Then the connectedness of gives . This together with as showed above implies that is a homoclinic solution of (4.3) connecting at . Note that the vector field of (4.3) on the face with yields that for all so that lies entirely in . We then have , which together with the formula of in (4.5) yields and for . This is impossible since . This contradiction shows the above claim.
Therefore, is contained in the face of . The vector field of (4.3) at this face yields .
Finally, the vector field of (4.3) on the boundary of (see Lemma 4.2) ensures that cannot intersect this boundary. Thus, lies entirely in . We have shown that has all the properties stated in Theorem 4.1 (i), and thus completed the proof of Theorem 4.1 (i).
Proof of Theorem 4.1 (ii)
The proof can be carried out by the same arguments as those in the proof of Theorem 2.2 (ii), and is thus omitted.
Acknowledgments
The authors thank the referees for their helpful suggestions.
Contributor Information
Shangbing Ai, Email: ais@uah.edu.
Reem Albashaireh, Email: rna0002@uah.edu.
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