Travelling waves for a bistable reaction-diffusion equation with delay
Sergei Trofimchuk, Vitaly Volpert

TL;DR
This paper establishes the existence of travelling wave solutions in a delayed bistable reaction-diffusion model related to immune response, using Leray-Schauder methods without assuming quasi-monotonicity.
Contribution
It proves the existence of travelling waves in a delayed reaction-diffusion equation without requiring quasi-monotonicity, extending previous results.
Findings
Existence of travelling wave solutions proven
Application of Leray-Schauder method to delayed equations
No quasi-monotonicity assumption needed
Abstract
The paper is devoted to a reaction-diffusion equation with delay arising in modelling the immune response. We prove the existence of travelling waves in the bistable case using the Leray-Schauder method. In difference with the previous works, we do not assume here quasi-monotonicity of the delayed reaction term.
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Travelling waves for a bistable reaction-diffusion
equation with delay
S. Trofimchuk1, V. Volpert2,3,4
1 Instituto de Matem´atica y Fisica, Universidad de Talca, Casilla 747, Talca, Chile
2 Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622 Villeurbanne, France
3 INRIA Team Dracula, INRIA Lyon La Doua, 69603 Villeurbanne, France
4 Peoples Friendship University of Russia, ul. Miklukho-Maklaya 6, Moscow, 117198 Russia
Abstract. The paper is devoted to a reaction-diffusion equation with delay arising in modelling the immune response. We prove the existence of travelling waves in the bistable case using the Leray-Schauder method. In difference with the previous works, we do not assume here quasi-monotonicity of the delayed reaction term.
Key words: reaction-diffusion equation, time delay, bistable case, wave existence
1 Introduction
In this work we study the existence of travelling waves for the reaction-diffusion equation with delay:
[TABLE]
Here , , the function will be specified below. This equation models the spreading of viral infection in tissues such as spleen or lymph nodes (see [7]). The first term in the right-hand side of this equation describes virus diffusion, the second term its production and the last term its elimination by the immune cells. The parameter is the diffusion coefficient (or diffusivity) and stands for the replication rate constant. In the sequel, without loss of generality, we can assume that . The parameterised function (where is the concentration of virus some time before) characterises the virus induced clonal expansion of T cells, i.e. the number and function of these cells upon their maturation during some time . In this work we will suppose that the function satisfies the following conditions implied by its biological meaning (Figure 1):
[TABLE]
[TABLE]
for some . Furthermore,
[TABLE]
Hence for and for .
Under these conditions, the function has three zeros: . Moreover . In the other words, we consider so-called bistable travelling waves. We recall here that travelling wave is a solution of equation (1.1) having the form , where the constant is the wave speed. Clearly, the wave profile satisfies the relation
[TABLE]
Equation (1.1) is a quasi-linear functional reaction-diffusion equation. The basic concepts of the general theory of these equations were developed in [14, 23]. In this respect, the delayed reaction-diffusion equations whose reaction term is either of logistic type (i.e. is as in (1.1), when is not separated multiplicatively from ) or of the Mackey-Glass type (when is separated multiplicatively from , i.e. ) are between the most studied ones, e.g. cf. [8, 18]. It is an interesting point of discussion whether the Mackey-Glass type models reflect more adequately the biological reality than the logistic models, e.g. see [19, p. 56-58] and especially [12, Section 1.1] for further details. Importantly, in certain relevant situations both models exhibit similar types of qualitative behaviour of solutions. It is also worth noting that the investigation of delayed logistic models is more difficult and technically involved than the studies of the Mackey-Glass type systems, precisely because of the multiplicative non-separateness of and . For example, so far no analytical results on the existence and uniqueness of bistable waves in delayed equations which include model (1.1) with non-monotone nonlinear response were available in the literature, cf. [1, 9, 13, 15, 16, 17, 24].
In order to understand what kind of results can be expected in the delayed case, first we recall the main existence assertion [22] about bistable waves in the classical reaction-diffusion equation without delay ():
[TABLE]
In this case, for a unique value of , there exists a unique (up to translation) monotonically decreasing solution of problem (1.6) on the whole axis with the limits
[TABLE]
Furthermore, in the delayed and monotone case (i.e. when and is decreasing), existence of solutions for problem (1.5), (1.7) was proved in [24, Theorem 5.8]. In such a case, equation (1.1) admits the maximum and comparison principles, and existence of solutions can be studied using these conventional techniques. See also recent work by Fang and Zhao for a similar result [15, Theorem 6.4] obtained in an abstract setting of monotone bistable semiflows. However, the properties of equation (1.5) change seriously if the function is not monotonically decreasing. In this case, a first attempt to tackle the aforementioned existence and uniqueness problem was recently made in [7] . The idea of [7] was to consider a discontinuous piece-wise constant approximation instead of the original continuous function , in this way simplifying the model (1.1) and allowing the use of the phase plane method.
In any event, the approaches of [7, 15, 24] are not applicable in the case of continuous non-monotone , and the question about the existence of travelling waves remains open.
In this paper, we answer this question affirmatively, by proposing a different approach based on the construction of the topological degree for an elliptic operator considered on a subset containing only bistable waves monotonically decreasing on the whole real axis. Hence, basically we are going to use the Leray-Schauder method not for all solutions of (1.5), (1.7) but only for monotonically decreasing ones. It appears that during a continuous deformation monotone waves are separated from the non-monotone waves in the sense that the norm of their difference is uniformly bounded from below by a positive constant, cf. [8, 18]. This property allows us to construct a domain in the function space which contains all monotone waves and which does not contain any non-monotone solution of (1.5), (1.7). We prove that the value of the topological degree of the corresponding operator is different from zero in this domain. Then the existence of solutions to (1.5), (1.7) follows. This procedure was successfully applied in [22] to some classes of reaction-diffusion systems while the recent works [2, 3, 4, 21] suggested that it can also be extended to the framework of the theory of reaction-diffusion equations with delay and bistable nonlinearity. The key ingredient of this method is the construction of topological degree for elliptic boundary problems similar to (1.5), (1.7). Essentially this construction was proposed in [22] and recently developed further in [21, Chapter 11] with [2, 3, 4]. It is worth to note that we apply the Leray-Schauder method in a rather direct fashion, without the use of truncation argument, cf. [1, 5]. In any case, in the theory of functional reaction-diffusion equation, the wave profile equations (as (1.5) or equivalent integral equations) are usually solved either through the iteration procedure or by means of the Schauder fixed point theorem. These approaches lead to restrictive monotonicity assumptions on the delayed term (in some situations, squeezing technique allows to weaken them and consider non-monotone delayed terms as well). In this way, the application of the Leray-Shauder method, which is less demanding in regard to the shape and smoothness properties of the delayed nonlinearity, seems to be an interesting new possibility in this area of research.
Finally, we say a few words about the organisation of the paper. In the next section, we analyse briefly the basic properties of nonlinear operators required for the degree construction: by [21], these operators should be proper and their Frechet derivatives augmented by the term should be Fredholm operators with zero index for all . Section 3 is devoted to separation of monotone waves from non-monotone ones while in Section 4 we establish a priori estimates of waves. Finally, in Section 5 we prove our main result in this paper, Theorem 5.1: it says that if smooth satisfies (1.2), (1.3), (1.4) and for all , then at least one monotone bistable wave for problem (1.5), (1.7) exists for every fixed delay .
2 Operators and topological degree
Fredholm property of associated linear operators.
Let be the Hölder space which consists of functions continuous in together with their second derivatives and the second derivative satisfies the Hölder condition with the exponent . Recall that the Hölder semi-norm of some function is defined as
[TABLE]
In this section, we will use several times the following obvious estimate of for :
[TABLE]
Here we use the standard notation for bounded functions .
Similarly, will denote the space of Hölder continuous functions with the same exponent . The norms in spaces and are given by the formulas and , respectively. We also will consider weighted spaces and defined as follows: is and only if , . Clearly, is a Banach space with the norm . The space is defined similarly. The choice of the weight function is not unique. It can be any positive function with polynomial growth at infinity.
Now, for some fixed real parameter , consider the linear operator ,
[TABLE]
where . We assume that the coefficients and belong to the space . Assuming, further, that the coefficients have limits at infinity,
[TABLE]
we can introduce the limiting operators
[TABLE]
Let us recall that the operator is called normally solvable if its image is closed. This definition is equivalent to the condition that the equation is solvable if and only if is orthogonal to all functionals from some closed subspace of the dual space .
Condition NS. The operator is said to satisfy Condition NS if equations do not have nonzero bounded solutions.
Proposition 2.1. The operator is normally solvable with a finite dimensional kernel if and only if Condition NS is satisfied.
Proof. The demonstration of this proposition is similar to the proof of Theorem 2.2 in [2] (sufficiency) and of Theorem 2.3 in [3] (necessity), and therefore it is omitted here.
If we substitute in the equations , then we obtain
[TABLE]
Condition NS is satisfied if and only if these equations do not have solutions for any real [20]. Similarly, equations
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with are equivalent to
[TABLE]
Theorem 2.2. If the curves given by (2.4) are in the open left-half plane of the complex plane for all real , then the operator with satisfies the Fredholm property, and its index equals [math].
Proof. Note that the operator is normally solvable with a finite dimensional kernel for all real . Therefore its index is constant for such values of . On the other hand, the operator is invertible for sufficiently large ( to see the latter, it suffices to transform equation into equivalent integral equation and then apply Banach contraction principle for all large ). Therefore its index is [math].
Finally, recall that the set of complex numbers for which the operator does not satisfy the Fredholm property is called the essential spectrum of the operator . It is known that a) the essential spectrum of coincides with the union of two curves given by (2.4) and that b) polynomial weight does not change the essential spectrum, cf. [21, Chapter 5]. Thus Theorem 2.2 remains valid if we replace in its statement action with .
Nonlinear operators.
As we have already mentioned in the introductory section, in this work we study the existence of solutions of the problem
[TABLE]
where is an unknown constant which should be chosen to provide the existence of solution. The function is supposed to be -smooth and have uniformly bounded derivatives. In the case of equation (2.5), the limiting operators introduced in the previous subsection have the following forms:
[TABLE]
Since , the operator clearly satisfies the assumption NS. The same property holds for the operator (considered with arbitrary ) because of the inequalities . Indeed, it is immediate to see that the characteristic equation associated with , can not have pure imaginary solutions. Furthermore, the respective curves
[TABLE]
satisfy, for all , the inequalities
[TABLE]
All the above implies that, in case of equation (2.5), Condition NS, Proposition 2.1 and Theorem 2.2 can be used without restrictions.
In order to introduce the nonlinear operator corresponding to problem (2.5), we set , where is an infinitely differentiable non-increasing function, for , for . Then we consider the nonlinear operator
[TABLE]
[TABLE]
acting from the space () into the space . The main purpose of introducing functional in the definition of instead of considering as a real parameter (as in (2.5)) is twofold: first, this obliges all solutions of the equation , belong to an open bounded set ; second, for , it allows to calculate topological degree by removing zero eigenvalues of some associated linear operator. Since was already found in [22, Chapter 3, §3.2 ]: , we will use only to obtain necessary a priori estimates of the wave solutions.
It is easy to see that functional is -smooth and
[TABLE]
Therefore, to prove that the operator depends -smoothly on it suffices to establish that the nonlinear part of , i.e.
[TABLE]
is continuously differentiable. It is worth to mention that the above formula for contains state-depending shifts of arguments (i.e. expressions like ) and therefore the differentiability question for should be handled with certain care, e.g. see [10, Section 3]. Let us show, for example, the existence of the Fréchet derivative . We claim that
[TABLE]
where denotes the partial derivative of with respect to :
[TABLE]
[TABLE]
Indeed, a straightforward computation shows that
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
Since , , we find that, for some positive and depending only on ,
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[TABLE]
In view of (2.1), the above estimates imply that . This assures the differentiability of with respect to . A similar reasoning also shows that depends continuously on in the operator norm. Finally,
[TABLE]
[TABLE]
where and defined by
[TABLE]
is one-dimensional linear operator. Since finite dimensional perturbations of the Fredholm operator does not change its index, we obtain the following version of Theorem 2.2:
Theorem 2.3. If the curves given by (2.4) are in the open left-half plane of the complex plane for all real , then the operator with satisfies the Fredholm property, and its index equals [math]. Moreover, there exists such that
[TABLE]
Proof.* In view of the above said, we only have to prove inequality (2.6). We have that*
[TABLE]
where linear functional is continuous and . Set , then
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if and only if
[TABLE]
where and
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Each bounded solution of equation (2.7) should satisfy the integral equation
[TABLE]
where
[TABLE]
[TABLE]
After differentiating (2.8), we find that
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Consider defined by
[TABLE]
it is immediate to see that , where does not depend on . Therefore system (2.8), (2.9) has a unique solution once . Moreover,
[TABLE]
Using this inequality in equation (2.8) again, we can improve the estimate for as follows: Then (2.7) yields that for all . Therefore, using (2.1), we also find that . Hence, for all . Here stand for some universal constants. In this way,
[TABLE]
so that
[TABLE]
The latter estimate completes the proof of Theorem 2.3.
The nonlinear operator has another useful property: it is a proper operator in the sense that the inverse image of compact sets is compact in any bounded closed set:
Theorem 2.4. *Let the condition NS be satisfied for . Assume for converging sequences of elements . If, in addition, sequence is bounded in , then it has a subsequence converging in . *
Proof. Suppose that . Since the inclusion is compact, there exists a subsequence converging in to some element . Clearly, and . Without loss of generality, we can assume that , then and also uniformly on compact subsets of . The same type of convergence holds for the first and second derivates of . To prove that uniformly on , we consider the following relation:
[TABLE]
Suppose for a moment that does not converge, uniformly on , to the zero function. Then there exist positive and some sequence such that for all . Since sequence can not be bounded, we may suppose first that . Now, since satisfies , without restricting generality, we can assume that , together with their first and second derivatives, converges uniformly on compact subsets of . Let be the limit function for , then and . After taking limit in (2.10), since uniformly on compact sets, it is easy to find that
[TABLE]
where and
[TABLE]
[TABLE]
Since the only bounded solution of the latter differential equation is , we arrive to a contradiction (recall that ).
Now, if then uniformly on compact sets and therefore
[TABLE]
[TABLE]
[TABLE]
where because of
[TABLE]
[TABLE]
[TABLE]
Observe here that
Hence, satisfies the functional differential equation
[TABLE]
which in view of condition NS can have only zero bounded solution. The obtained contradiction shows that converges to [math] uniformly on (so that uniformly on ).
Similarly, if does not converge uniformly on to [math], then for some and . Considering , we obtain from the the previous part of the proof that (uniformly on ). Therefore, since converges, uniformly on compact sets, to some continuous function , we conclude that . Clearly, this contradicts to the inequalities Hence, we can conclude that converges to [math] uniformly on . The proof of the uniform (on ) convergence is based on the same argument. Finally, in order to estimate the Hölder semi-norm , it suffices to use the following equivalent form of (2.10):
[TABLE]
[TABLE]
[TABLE]
It is easy to see from this representation (directly leading to a Schauder type interior estimate) that . For instance, we can estimate the Hölder semi-norm of the third line in the above expression by using inequality (2.1) and the uniform on convergences
[TABLE]
[TABLE]
This completes the proof of Theorem 2.4.
Theorems 2.3 and 2.4 show that, according to the abstract theory developed in [21, §3.3 of Chapter 11], the Leray-Schauder type topological degree can defined for the operator . Indeed, in terms of [21], Theorems 2.3 and 2.4 imply that, for a fixed , the operator belongs to the class while the family of operators with belongs to the class .
3 Monotonicity of solutions
In this section, we will consider the wave profile equation
[TABLE]
with the boundary conditions
[TABLE]
Lemma 3.1. Suppose that , for . If solution of problem (3.1), (3.2) satisfies condition for all , then , .
Proof. Suppose that the assertion of the lemma does not hold and for some . Then and from the equation (3.1) we obtain the equality
[TABLE]
If , then by virtue of the uniqueness of solution , and we obtain a contradiction with (3.2). Hence
[TABLE]
Since , then . Set . Then . From (3.3) we get
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Suppose that . Since , that is for , then by virtue of (3.4), equation has a solution in the interval . This conclusion contradicts the assumption on the function . Hence .
Next, we show that . Indeed, suppose that . Then (3.4) contradicts the assumption that for . Thus, .
Set . Differentiating equation (3.1), we obtain
[TABLE]
where
[TABLE]
Let us recall that for all , , , . Since the function satisfies (3.2), then .
Let be the maximal interval containing the point and such that for all . Similar to the arguments presented above we can verify that for . We take an interval slightly larger than such that and for . If this set is reduced to a single point , then it is a sufficiently small interval around this point. Since in this interval, and not identically [math], then we obtain a contradiction with the maximum principle for equation (3.5).
Lemma 3.2. Suppose that , for , where and for . If solution of problem (3.1), (3.2) satisfies condition for all , then , .
Proof. Suppose that the assertion of the lemma does not hold and for some . Then we obtain equality (3.3). Since , then . Set . It follows from (3.3) that
[TABLE]
Hence . From (3.3) we get that . Therefore, . Thus, and we proceed with equation (3.5) as in the proof of Lemma 3.1.
Lemma 3.3. Let be solutions of problem (3.1), (3.2) for some , , (for some ), . Suppose that for all and in , . If , then there exists such that for and sufficiently large.
Proof. Let be such that
[TABLE]
We choose such that for all . Then for sufficiently large
[TABLE]
Denote by a positive constant such that for all . Then for all sufficiently large, and for .
Suppose that the assertion of the lemma does not hold. We consider two cases: for some and for all . In the first case, since as , then there is a global maximum of this function for :
[TABLE]
We have:
[TABLE]
Hence and we obtain a contradiction.
Suppose now that for and all sufficiently large. If for and for some , then we obtain a contradiction with Lemma 3.1. Therefore, if the assertion of this lemma is not satisfied, then the function has a minimum for . Suppose that there exists the most right minimum of this function for . By virtue of the construction above, . Since , then we conclude from the equation that
[TABLE]
It follows from condition (3.6) that
[TABLE]
Therefore
[TABLE]
If , then there is another minimum of this function, and . Repeating the same arguments, we will obtain a sequence of minima going to . This contradicts the convergence as .
If , then there is a single maximum of this function in the interval since is the most right minimum and . Suppose first that . Then , and we obtain a contradiction with (3.7). Let now . Since is decreasing for , then
[TABLE]
and
[TABLE]
Therefore, and we obtain a contradiction since is a point of maximum.
If the most right minimum does not exist and there is a sequence of extrema converging to some , then it is sufficient to take a minimum sufficiently close to and to repeat similar arguments as above. Let us also note that for it is not necessary to take the most right minimum. Finally, if , then we obtain the equation without delay for which the assertion of the lemma is known [22].
Lemma 3.4. Let be solutions of problem (3.1), (3.2) for some , , (for some ), . Suppose that , and in , where is a solution of problem (3.1), (3.2) for , . If for all , then for all and sufficiently large.
Proof. Suppose that the assertion of the lemma does not hold, and there is a sequence such that . If this sequence is bounded, then we can choose a convergent subsequence, . Then , and we obtain a contradiction with the assumption of the lemma.
Consider next the case where . Let be the solution of the equation for some sufficiently small. Let us recall that for . Then for all sufficiently large and for all , . Hence
[TABLE]
and for sufficiently large since
[TABLE]
We use here the assumption that . Furthermore, , .
Let . If , then . Hence any positive extremum is a minimum, and the function cannot converge to [math] at infinity.
Suppose now that . Since as , without loss of generality we can assume that is a global minimum of the function . Hence . Therefore,
[TABLE]
The first inequality in (3.8) holds since in some neighborhood of (including small negative ). The second inequality in (3.8) takes place for sufficiently small in absolute value and since . Thus, . Therefore is a point of maximum, and it cannot be the global minimum, as supposed.
It remains to note that convergence cannot hold due to Lemma 3.3.
4 A priori estimates
4.1 Estimate of the wave speed
Let us introduce functions and such that
[TABLE]
, and equations
[TABLE]
have unique solutions in the interval . Then the problem
[TABLE]
(without delay) has a unique solution (up to translation in space) for a unique value . Similarly, the problem
[TABLE]
(without delay) has a unique solution (up to translation in space) for a unique value .
Lemma 4.1. If there exists a monotonically decreasing solution of problem (3.1), (3.2) for some , then .
Proof. Since and is a decreasing function, then . Hence
[TABLE]
Consider the Cauchy problem
[TABLE]
(without delay) with the initial condition
[TABLE]
Taking into account equation (3.1) and inequality (4.4), we obtain:
[TABLE]
[TABLE]
Hence is a lower function, and solution of problem (4.5), (4.6) is monotonically increasing with respect to for each .
On the other hand, by virtue of global stability of monotone waves for the bistable equation, as uniformly on the whole axis. From this convergence we can conclude that . Indeed, if , then for each fixed as . However, for all and . This contradiction completes the proof of the lemma.
Lemma 4.2. If there exists a monotonically decreasing solution of problem (3.1), (3.2) for some , then .
Proof. Since and is a decreasing function, then . Hence
[TABLE]
Consider the Cauchy problem
[TABLE]
(without delay) with the initial condition
[TABLE]
Taking into account equation (3.1) and inequality (4.7), we obtain:
[TABLE]
[TABLE]
Hence is an upper function, and solution of problem (4.5), (4.6) is monotonically decreasing with respect to for each .
On the other hand, by virtue of global stability of monotone waves for the bistable non-delayed equation, as uniformly on the whole axis. From this convergence we can conclude that . Indeed, if , then for each fixed as . However, for all and . This contradiction completes the proof of the lemma.
From the last two lemmas we obtain the following estimate for the wave speed:
[TABLE]
We note that if and if .
4.2 Estimates of solutions
In this section, we will use repeatedly the following simple observation:
Lemma 4.3. Let be a monotonically decreasing solution of equation (3.1) with the limits at infinity. Then . If , then .
Proof. Consider a decreasing wave connecting and [math] and suppose that . Then and therefore so that
[TABLE]
Since a convex function cannot connect two final equilibria, we have got a contradiction. Thus .
Similarly, suppose that some decreasing wave connects and with the speed . Then and therefore , see Fig. 1. In this way, we will get a contradiction again:
[TABLE]
This completes the proof of Lemma 4.3.
We can now estimate the weighted norm of wave profiles:
Lemma 4.4. Let be a monotonically decreasing solutions of problem (3.1), (3.2) for possibly different values of such that for some fixed and all admissible . Then there exists a positive constant independent of such that
[TABLE]
Proof. Let be as defined in (4.10). Denote by the solution of the equation and by the solution of the equation where are some fixed numbers.
Clearly, . Moreover, we claim that the difference is uniformly bounded. Suppose that this in not the case and this difference tends to infinity for some convergent sequence of : . Set
[TABLE]
Then , . We can choose a locally convergent subsequence from the sequence . Denote its limit by . Then it is a solution of equation (3.1), , since . Then and therefore in view of Lemma 4.3.
Similarly, consider the sequence
[TABLE]
Then , . We can choose a locally convergent subsequence from the sequence . Let denote its limit. Then it is a solution of equation (3.1), , since . Then and by virtue of Lemma 4.3, .
The obtained contradiction () shows that functions and are uniformly bounded. Hence, for some fixed independent of , it holds
[TABLE]
A useful consequence of this result is compactness of the set of all ‘admissible’ delays and speeds:
[TABLE]
Indeed, if , is a sequence of monotone bistable waves propagating with speeds , then each converging subsequence of has a limit also satisfying, in view of inequalities (4.12), the boundary conditions (3.2).
We claim that if the parameters and are sufficiently small then the functions admit exponential estimates for and which are uniform uniform with respect to . This means that there exist some positive numbers independent on such that
[TABLE]
These estimates follow from the assumptions , and their proof is based on arguments adapted from the exponential dichotomy theory [6, 11]. Since the set of all admissible delays is compact, it suffices to establish (4.13) locally, i.e. to prove that estimate (4.13) is true within sufficiently small neighbourhood of each point (so that and may depend on ). In the appendix, we briefly outline the proof of the first inequality in (4.13) in more difficult case when and . Finally, since functions are uniformly (in and ) bounded, Lemma 4.4 is an immediate consequence of inequalities (4.13).
Corollary 4.5. Assume all the conditions of Lemma 4.4. Then the functions are uniformly (in ) bounded in the norm of .
Proof. We have
[TABLE]
Set and multiply the last equation by . Then we obtain
[TABLE]
where
[TABLE]
In view of (4.13), this function is uniformly (in ) bounded in the norm of . Therefore the norm of in is also uniformly bounded due to the Schauder estimate.
Lemma 4.5. *Let be monotonically decreasing wave solutions of equation for possibly different values of . Then are uniformly bounded in the norm of . *
Proof. Clearly, is a bistable wave of equation (1.5) propagating with the speed . In view of (4.10), for some .
Suppose now that the set is not uniformly bounded in . Then there exist sequences and such that and as . Moreover, without loss of generality, we can assume that uniformly on compact subsets of . Here denotes some non-increasing bounded solution of (1.5) with .
We claim that . Indeed, if then, applying the Fatou’s lemma, we get the following contradiction:
[TABLE]
On the other hand, if then so that and uniformly on each half-line . In addition, since each satisfies
[TABLE]
where uniformly on , we can conclude (e.g. see [6, Proposition 1, p.34]) that, for some positive constant , it holds
[TABLE]
This implies, however, that , in view of the Lebesgue’s dominated convergence theorem. The obtained contradiction shows that For a moment, let suppose that . In this case, for each positive , the intervals have lengths converging to as . Consequently, the intervals have lengths . If denotes the unique solution of equation , then the sequence of shifted waves converges, uniformly on compact subsets of , to a bounded non-increasing solution of equation (1.5) considered with . Since and for all with , we conclude that and . However, the simultaneous existence of non-increasing waves and of equation (1.5) considered with the same speed contradicts conclusions of Lemma 4.3.
Consequently, so that . This means that for some appropriate fixed . By Corollary 4.5, must be uniformly bounded in the norm that contradicts our choice of this sequence.
5 Existence of solutions
Once topological degree is defined and a priori estimates of solutions are obtained, we can use the Leray-Schauder method.
Theorem 5.1. Suppose that satisfies conditions (1.2), (1.3), (1.4) and, in addition, for , where . Then problem (3.1), (3.2) has a monotonically decreasing solution for any .
Proof. Fix an arbitrary positive number . With operator defined in Section 2, we consider all solutions of the equation
[TABLE]
such that the functions are monotonically decreasing. We denote such solutions by . It follows from Lemma 4.5 that where a positive constant does not depend on solution and on . If the function is not monotonically decreasing, then we denote such solutions .
We claim that there exists a positive constant such that
[TABLE]
for any solutions and . Indeed, if this is not the case, then there are two sequences of solutions and such that
[TABLE]
Therefore, since for all and is a proper operator with respect to (see Theorem 2.4), we can choose convergent subsequence of solutions. Without loss of generality we assume that in , . Then the function is a solution of problem (3.1), (3.2) for some and . Hence , and by virtue of Lemmas 3.1, 3.2, we have for all .
Set . It follows from (5.18) that as . This convergence contradicts Lemma 3.4 and proves (5.17).
We construct an open ball of the radius around each solution . Since the set of solutions is compact, we can choose a finite subcovering of the set of solutions by the balls. Denote this domain by . It contains all solutions and it does not contain solutions .
Consider the topological degree . Since on , then this degree does not depend on . It remains to verify that it is different from [math]. Indeed, in the non-delayed case (), equation (5.16) has a unique solution , where is the unique solution of problem (3.1), (3.2) with . The value of the degree equals the index of this solution which can be found through the eigenvalues of the linearized operator. This computation was already done in [22, Chapter 3, §3.2 ] where it was shown that . Hence, for any . This proves the existence of solutions of equation (5.16) for each .
We note that if we consider the case where or , the conditions on the function can be somewhat weakened (see Lemmas 3.1, 3.2).
Appendix
In this section, we briefly outline the proof of the first inequality in (4.13) in the case when , belongs to some small neighbourhood of the point with . In such a case, it is convenient to transform equation (3.1) into usual delayed differential equation by inverting the time: . In this way, instead of system (3.1), (3.2), we obtain
[TABLE]
Thus, for , the function satisfies the following delay differential equation:
[TABLE]
where, uniformly with respect to , it holds
[TABLE]
We will extend continuously on the whole in such a way that . In the standard way, equation (5.20) generates a semi-flow on the extended phase space , where and stands for the space of scalar continuous functions provided with the sup-norm . In view of the assumption , the ‘-limit’ equation of (5.20),
[TABLE]
has only the trivial bounded solution and therefore it possesses an exponential dichotomy with some projection and positive constants . The latter amounts to the following two properties:
- •
If , with being an arbitrary fixed element of , then the solution of the initial value problem , for equation (5.21) satisfies the inequality
[TABLE]
- •
On the other hand, if then the solution of the initial value problem , for equation (5.21) can be extended for all and satisfies the inequality
[TABLE]
Observe that since equation (5.21) has constant coefficients, is also a constant function, . We claim that . Indeed, if , then the solution of equation (5.21) is exponentially converging to [math] as while for and . This means that reaches its positive absolute maximum at some leftmost point . At this point, , , so that, taking into account the inequality , we get the following contradiction
[TABLE]
Next, the roughness property of the exponential dichotomy guarantees (cf. [11, Theorem 7.6.10]) the existence of small such that equation (5.20) possesses an exponential dichotomy with some projection and constants for all non-negative such that
[TABLE]
Moreover, as . In particular, since , we can take sufficiently small to have once (5.22) is satisfied.
Hence, assuming (5.22) and taking arbitrary solution of equation (5.20), we can conclude that so that, for all ,
[TABLE]
Thus we obtain that, for all satisfying (5.22) there exists some universal constant such that This yields the required uniform exponential estimate
[TABLE]
[TABLE]
which holds for all satisfying (5.22).
Acknowledgements
The first author was supported by FONDECYT (Chile), project 1150480. The second author was partially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008).
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