Abstract
In this paper, we study a hyperbolic–elliptic system with -initial data, which arises as a mathematical model for chemotaxis. In particular, after introducing the notion of entropy solutions in this setting, we prove results concerning the existence of solutions—either global or local in time—depending on how small the -norm of the initial data is. Furthermore, we prove the uniqueness of the entropy solutions by adapting the standard doubling-variable method for hyperbolic conservation laws to the current framework.
MSC:
35M31; 35Axx; 35Q92; 35J60; 35L02
1. Introduction
1.1. Statement of the Problem and Connection with the Literature
This paper deals with the following hyperbolic–elliptic system:
where and , complemented by initial data
- (H0)
We stress that, throughout the paper, square brackets are used as regular brackets. System (1) arises as a mathematical model describing chemosensitive movements of cells or other microorganisms. In this framework, represent the densities of cells moving towards the right or the left along the real axis, and v identifies the chemoattractant concentration produced by the cells themselves. Specific assumptions on data functions , , g, and are collected in Section 1.2 below.
Mathematical models for chemotaxis involving partial differential equations have been widely investigated in recent decades [1,2,3,4,5], starting from the Keller–Segel system [6], which typically combines a parabolic equation—describing the movement of individuals influenced by an external signal—with a parabolic or elliptic equation that determines the concentration of such a chemical nutrient. However, in order to represent a more realistic evolution process, avoiding in particular the effects of an infinitely fast propagation speed, models based on hyperbolic equations have also been proposed by several authors. In this context, we refer to [7,8], where chemosensitive movements in one space dimension have been simulated according to the Goldstein–Kac model [9,10]. Among the many other contributions (e.g., see [5,11,12,13,14,15] and the references therein), let us mention in particular the Greenberg–Alt system [1]
(), which typically fits with the class of systems considered in the present paper (refs. [7,14]; see also [16,17] for similar hyperbolic–elliptic or hyperbolic–parabolic systems on networks). It is worth observing that, by introducing the total cell density and the mean cell flux , problem (2) can be turned into the system
which has been studied in [1,13,15,18,19,20] (see also the references therein).
The first two equations in (2) can be seen as a particular case of a more general model where the elliptic equation
(or its corresponding parabolic version) is complemented by the hyperbolic equations
In this framework, the terms are called turning rates and control the probability of transition from (right-moving cells) to (left-moving cells) and vice versa. Furthermore, the function provides the production (or degradation) of the chemoattractant v.
Systems (4)–(6) have been studied on the real line in [15], with sufficiently smooth nonnegative initial data and symmetric Lipschitz continuous turning rates satisfying
- (A)
However, it is worth observing that the above condition does not tie in with the model case
(see (2)). For this reason, it will be dropped in the present paper (see Section 1.2 for more specific assumptions about system (1). From a mathematical point of view, in [7,15], the nonnegativity of the turning rates ensures nonnegativity of solutions to systems (4)–(6) for all nonnegative initial data . As a consequence, the total particle -norm is preserved, whence the boundedness of both v and follows from standard a priori estimates for elliptic equations, and global existence of solutions to (4)–(6) is guaranteed for all (sufficiently smooth) nonnegative initial data. Roughly speaking, these analytical results suggest a smooth long-term chemotactic evolution with no sharp aggregation or blow-up phenomena in the biological model.
Conversely, in order to study well-posedness of (1) with -initial data, and to overcome the technical difficulties arising from the neglect of hypothesis (A) and the smoothness of the initial data functions , we will use a two-step approximation procedure and passage to the limit (see Section 3 and Section 4), starting from a pseudoparabolic regularization of the hyperbolic equations in (1) (see problems in Section 3.1). In particular, this will yield existence of suitably defined entropy solutions to (1) (see Definition 2), for which uniqueness will follow from adapting the standard method of doubling variables for hyperbolic conservation laws ([21]; see also [22,23,24,25,26,27,28] and the references therein).
We would like to emphasize that our results concern both local and global existence of entropy solutions depending on the size of the -norm of the initial data (see Theorem 2 below), a phenomenon that has already been observed in analogous chemotaxis models (e.g., see [13,29,30]). Indeed, small initial data (with respect to the -norm) translates back to the intuitive idea of a small initial mass and an initial population that is only weakly aggregated. Consequently, we can expect a moderate cell chemotactic response, evolution of the chemical stimulus v without sharp gradients, and population dynamics without blow-up or infinite aggregation. Conversely, for larger initial -norms, our analytical study suggests that cells may aggregate rapidly in response to steeper chemoattractant gradients and that solutions may blow up in a finite time. In this connection, it is worth mentioning the results in [31], where solutions to a coupled system analogous to (4)–(6) developing blow-up in a finite time have been explicitly constructed. Interestingly, in these examples, the turning rates change sign near the time at which the blow-up occurs—a behavior that has not been observed in [7], where nonnegativity of the turning rates is assumed.
The plan of the paper is the following: the main assumptions and some preliminary notations are outlined in Section 1.2 and Section 1.3 below. In Section 2, we collect the main definitions and results about local/global existence and uniqueness of entropy solutions to (1) with -initial data (see Theorems 1 and 2). Section 3 and Section 4 are devoted to the study of the approximating problems and include both a priori estimates (Section 3.2 and Section 4.1) and passages to the limit (Section 3.3 and Section 4.2). Finally, the proofs of the main results are the content of Section 5.
1.2. Assumptions
In this paragraph, we collect the main conditions on the data functions , , g, and in system (1). Specifically, we shall consider functions , , , and , satisfying the following hypotheses:
- there exists such that, for every , there holdsfor all such that ;
- , .
- is strictly increasing on , and ;
- , and .
We stress that all assumptions – will always be assumed to hold throughout the paper.
1.3. Preliminaries
By , we shall denote the space of finite (signed) Radon measures on . The total variation of will be denoted by whereas the Lebesgue measure by . Furthermore, by a null set, we mean a Borel set E such that ; the expression “almost everywhere”, or shortly “a.e.”, “means that up to a set of zero Lebesgue measure”. We shall denote by the space of continuous functions with compact support in , and by the duality between the space and . Similar notations will be used for the space of Radon measures on .
We recall that is the set of finite Radon measures that satisfy the following property: for , there exists a measure such that
- for every , the map is Lebesgue measurable, and
- there exists a constant such that .
Let us also mention that a sequence *-weakly converges to (written in ) if
for every (e.g., see Proposition 4.4.16 of [32]).
For any bounded open subset , we shall denote by the set of Young measures on ; i.e., positive Radon measures on such that for any Borel set . If , the Young measure associated with u is identified by the equality for any pair of Borel sets . It is also worth recalling that, given a Young measure , for , there exists a probability measure such that, for any bounded Carathéodory integrand , the map is Lebesgue measurable and The family of probability measures is called the disintegration of . If is the Young measure associated with a function , then, for , its disintegration is the Dirac measure .
Finally, a sequence of Young measures on converges narrowly to a Young measure if, for any bounded Carathéodory integrand , there holds as . Plus, if the sequence of Young measures is associated with a sequence of functions equibounded in , then there exists a Young measure on such that (possibly up to a subsequence not relabeled) there holds narrowly in (see [33,34]).
2. Results
Let us begin by the definition of weak solutions to (1) with -initial data.
Definition 1.
- for the equationis satisfied in ;
- for all , , there holds
Remark 1.
- Observe that the elliptic Equation (13) is well-posed since for (see and recall that . Moreover, for , it is uniquely solvable in within the class of functions with . Indeed, given any two solutions w and of (13) in this class, choosing the test function in the equation yieldswhence in (recall that the function g is increasing on ).
- It is convenient to observe that any weak solution of (1) with initial data as above achieves the initial condition in the sense of the following convergence:
Let us now introduce the notion of entropy solution to (1).
Definition 2.
For every , by an entropy solution of (1) in , with initial data , we mean a weak solution in the sense of Definition 1 such that the following entropy inequalities
are satisfied for all and , with in and .
We explicitly observe that, in inequalities (21) with different upper notations “±”, we can choose different values of k.
Interestingly, entropy solutions of (1) assume initial data according to the -strong convergence. This is the content of the following proposition.
Proposition 1.
Let be an entropy solution of (1) in with initial data . Then, there exists a null subset such that, for all sequences and , there holds
Uniqueness of entropy solutions of (1) with -initial data is the content of the following theorem.
Theorem 1.
Finally, existence of local and global solutions to (1) (the latter for initial data with small enough -norm) is addressed in the following theorem. We explicitly notice that these solutions are unique by Theorem 1.
3. Approximating Problems
3.1. Well-Posedness
For , we shall consider the following regularization of system (1):
where we have set
and
Here, for every ( or ), we have denoted by
the usual truncation function (observe that is a Lipschitz continuous function on , with Lipschitz constant ).
Remark 2.
In order to address well-posedness of problem with -initial data, let us rephrase it as an abstract ODE in the Banach space ; i.e.,
Here, maps any into the pair
where are the unique weak solutions of the elliptic equations
with being the unique weak solution to the elliptic equation
Remark 3.
We explicitly point out that the mapping in (33)–(35) is well-posed. To this aim, notice that, for any , existence and uniqueness of follow from standard results on elliptic equations since (this follows from and the condition ), and for all (see (26) and Regarding Equation (34), it is enough to observe that, since , there holds
specifically, for the second claim, we have used , whereas the third condition immediately follows from (29), which in turn implies
Theorem 3.
For any , there exists a unique , with
such that, for all , the following equations
are satisfied in .
Proof.
The claim will easily follow if we prove that the mapping in (33)–(35) is Lipschitz continuous on X. To this aim, for any two and , set
(). Accordingly, let be the weak solutions of the elliptic equations
Multiplying the equation
by yields
( being the Lipschitz constant of ). In view of the above inequality, and since
(here, , with is the Lipschitz constant of (see and (26)), we get
with . This proves that
Next, subtracting the elliptic Equation (34) satisfied by (), we obtain
Since
(here, are the Lipschitz constants of ; see ), and
(see (30)), multiplying (42) by yields
Plainly, in view of (41), the above inequality implies the estimate
whence also
for a suitable constant independent of and .
This proves the Lipschitz continuity of the map on X. Thus, for any , there exists a unique , satisfying (37) and Equations (38) and (39). Moreover, since and is Lipschitz continuous on by assumption , it can be easily proved that . Hence, by standard elliptic estimates on Equation (39), we get that (here, we have also held that for all ). This concludes the proof. □
3.2. A Priori -Independent Estimates for Problems
Let us begin with the following a priori estimates.
Proposition 2.
Let and be the solution of . Then, there exists independent of ε such that
Proof.
For simplicity of notations, set and . Fix any . Then, multiplying the first two equations in by and , respectively, and integrating in yields
Since ), it can be easily seen that
(here, we have set for every ). Moreover, by (29), the right-hand side of (46) can be estimated as follows:
Combining (47) and (48) with (46) yields
Summing up the above inequalities with upper signs “+” and “−”, we get
whence also
Applying Gronwall’s lemma to (51) plainly yields
for some independent of .
Let us address (43)–(45). To this aim, using as test functions in the first two equalities of and integrating over (with ), we obtain
whence (see (29))
As for the right-hand side of the above inequality, by Young’s inequality, there exist suitable constants independent of such that
and
(see (52)). By the above estimates and (53), there exists independent of such that, for all , there holds
whence also
From the above estimate and Gronwall’s inequality, it follows that
for some independent of . Combining (56) with (52) yields (43), whereas, from (56) and (54), both (44) and (45) follow at once. □
Proposition 3.
Let and be the solution of . Then, there exists , independent of ε, such that
Proof.
For simplicity of notations, set and . For every , multiplying the elliptic equation
by and integrating over yields (see also (26))
Since it can be easily seen that is bounded in by a constant independent of both and t (see (43) and assumption ), and , from the above equality, we obtain
whence (57) follows at once. Plainly, (58) is a direct consequence of (57), (59), and the boundedness of the sequence in (see (43) and ). □
3.3. Setting in Problems
Fix any sequence , as . Then, the following convergence results immediately follow from the a priori estimates (43)–(45).
Lemma 1.
Let and be the solution of with initial data . Then, for every , there exist subsequences of , not relabeled, and , with , such that in , and
for every bounded open interval ,
Moreover, for all , there holds
Proof.
Lemma 2.
Let . Let and be the subsequences and the limiting functions given in Lemma 1. Then, for every , there holds
where is the unique weak solution of the elliptic equation
Proof.
To begin with, observe that uniqueness of weak solutions in to (69) easily follows from standard elliptic arguments since with and for all and (see , and recall that for all ).
Next, for any fixed , let us take the limit as in the elliptic equation
To this aim, observe that, by (62) and , there holds
Plus, by (57), there exists such that (possibly up to a subsequence, not relabeled) there holds
whence also
(notice that and ). In view of (71)–(73), setting in (70) proves that solves in the weak sense the elliptic equation . By uniqueness of weak solutions to the above equation, this proves that , where is the unique weak solution of (69). Thus, the convergences in (72) and (73) hold true along the whole sequence , and the conclusion follows. □
For every , set
where are the functions defined in (28) (for ).
Theorem 4.
For every and , let be the limiting functions given in Lemmas 1 and 2. Then,
- , , and ;
Proof.
Claim follows from Lemmas 1 and 2. We only point out that by standard continuous dependence results in weak solutions to elliptic equations since for all and (this follows from as ).
In view of Lemma 2, claim will follow if we prove that satisfies equalities (75) for every . To this aim, let be the subsequence given in Lemmas 1 and 2. Then, choosing as above as test function in (38) yields
Let us consider the limit as on the left-hand side of the above equality. To this purpose, observe that, by (43), the sequences are bounded in (recall that ; see ). Since there also holds in S and in (see (60) and (61)), a routine proof shows that
From the previous convergence and (63) and (64), we get
for all . Regarding the right-hand side of (76), observe that, by (29), there holds , whence (see also (43))
Moreover, from (58) and (73), it follows that, for all , there holds and in . From this convergence and (58), we get that in for every bounded interval and for all . Plainly, by the arbitrariness of , we have
Similarly, by (68), there holds
From (60), (80) and (81), it is easily seen that, as , there holds (see also (27))
In view of the above convergence and (79), a routine proof shows that
whence
for all . Plainly, by the above convergence and (78), setting in (76) yields (75). □
4. The Approximating Problems for and
4.1. A Priori Estimates
Given any , let () be chosen so that
For every , we shall consider the following system:
with initial condition
Here, is defined in (26), and are the functions in (74).
Plainly, existence of solutions to (85) and (86), in the sense of the following definition, is ensured by Theorem 4.
Definition 3.
Remark 4.
We begin with the following lemma.
Lemma 3.
- For every and , the entropy inequalitiesare satisfied for all , .
- , and, for every , there holds
Proof.
For every , set
(here, is the truncation function with ). Let , be fixed arbitrarily. Multiplying the first two equations in (85) by , respectively, and integrating in yields
whence
Since and as (), a routine proof shows that inequality (89) follows from setting in (91).
- Let , be any function such that for . For every and , set . Choosing and in (89) yields (recall that ; see )
whence (see also (87))
Summing up the above inequalities with upper signs “+” and “−”, we get
Thus, by Gronwall’s inequality, there holds
for all . Since (see ) and , it can be easily seen that
and
In view of the previous convergences, since for all and , setting in (93), it easily follows that . Moreover, since
(see (87)), it can be easily seen that the functions belong to as well. Therefore, inequality (90) can be easily obtained by setting in (92) and using (83). □
Lemma 4.
Proof.
For simplicity of notations, set and for arbitrarily fixed. For every , set
where is the usual truncation function (). Choosing as test function in the elliptic equation
we get
where is the Lipschitz constant of (see ). Since as , setting in the above inequality, we get (95). Plainly, (94) immediately follows from (95) and Equation (100), whereas (96) is a direct consequence of (94). Next, multiplying (100) by yields
Since by general inequalities in Sobolev spaces [35], and
(recall that and is the Lipschitz constant of g; see ), by (101), we have
whence
Plainly, from (102) and (103), inequalities (97) and (98) follow at once. □
Proposition 4.
Proof.
By (96) and (97), for every , we have
Plus, observe that, by (74), there holds
Since and , in view of (105) and applying (9) to the right-hand side of (106) with
we obtain
Plugging the previous inequality into (90) yields
for every (see also (83)). Summing up the above inequalities with upper signs “+” and “−” yields
where and . By a nonlinear Gronwall-type inequality (Theorem 25 of [36]), the above inequality ensures that
which in turn yields (104) for all . □
Remark 5.
4.2. Setting in Problems (85) and (86)
Let us begin with the following lemma.
Lemma 5.
Let and be as in (23). For every , set
where and are the constants in and (24), respectively. Let be a solution of (85) and (86) for .
- For every , the triplet is a solution in of
- For every and , there holds
- The families , , and are bounded in .
Proof.
Lemma 6.
Proof.
Lemma 7.
Let and be as in (23). For every , let , be the subsequences and the limiting measures given in Lemma 6. Then, for , there holds
Proof.
Let and be fixed arbitrarily. For all and n large enough (such that ; see (112)), multiplying the first two equations of (113) by yields
By (84), (121) and (122), setting in (126) (under the extra condition ), we get
Choosing in the above equality
( large enough), and taking the limit as , for as above, we get
On the other hand, choosing in (126) and setting yields (see also (122) and (123))
whence
for all . By the above equation and (127), we get
Since for all the sequences are bounded in by (114), the previous convergence implies (125). □
Proposition 5.
Let and be as in (23). For every , let , be the subsequence and the limiting measures given in Lemma 6. Then,
and, for , there holds
Moreover,
Proof.
Since , there exists such that for all (see (112) for the definition of ). For any , and , for simplicity of notations, set
(). Let us proceed in four steps.
- Step 1. For every , let be the function defined in (99) (). Let us choose as test function in the elliptic equationBy the nondecreasing character of and the Lipschitz continuity of (see ), we get(here, use of the estimate for all has occurred). Since by the (strictly) increasing character of there holds as , setting in the above inequality yieldswhence (see (131))andLet us prove thatwhere is the Lipschitz constant of g.
To this aim, observe that choosing as test function in (131) yields
Observing that and
(recall that ), by inequality (136), there holds
whence
Since , inequality (135) follows from (137).
- Step 3. Fix any . By the first two equations in (113) (written for and , respectively), we getMultiplying the above equality by (see (99) for the definition of ; ) and integrating in yields(here, we have used (142) and the Lipschitz continuity of ). From the above inequality, it follows thatIn order to take the limit as in (144), observe thatand . In view of the above convergences, setting in (144) yieldsfor all . Plainly, by summing up the previous inequalities with upper signs “+” and “−”, and using Gronwall’s lemma, for every such , we get
- Step 4. In view of the Frechet–Kolmogorov compactness theorem, by (84) and (145), for every , it will follow that the sequences are relatively compact in if we prove thatLet us postpone the proof of (146) and conclude the proof. To this aim, for , it is enough to observe that the sequences are relatively compact in and satisfy the convergences in (125). Plainly, this implies that the limiting measures in (125) are absolutely continuous with respect to the Lebesgue measure for —whence (128) immediately follows—and, in addition, the whole sequences strongly converge to in for as above. This proves (129). Finally, we haveregarding the limit on the right-hand side, we have used the dominated convergence theorem since, for t, there holds and (see (114)).
Let us address (146). To this aim, fix any , such that for and for . For every , set
Choosing in (89) , , (for ), and using (120), we get
(here, use of the Lipschtiz continuity of has occurred). Combining the above estimate and (114), it follows that there exists a constant (depending on and ) such that
whence
Applying Gronwall’s inequality, we have
Then, the conclusion follows from the above inequality and the properties of since
uniformly in n (here, we have also used (84)). □
Proposition 6.
Let and be as in (23). For every , let , be the subsequence and the limiting functions given in Lemma 6 and Proposition 5. Then, there exists , with and , such that possibly up to a subsequence (not relabeled) there holds
Moreover, for , we have
Proof.
Since , there exists such that, for all , there holds , being defined in (112).
By (116), there exists such that, possibly up to a subsequence (not relabeled), there holds
Let us prove that and the convergences in (149)–(151) hold true. To this aim, let be arbitrarily fixed. For every and , with , set
(). It can be easily seen that, arguing as in step 1 of the proof of Proposition 5, we obtain inequalities (132) and (136); i.e.,
and
for (see also (118)). Integrating in the above inequalities yields
and
By the above inequalities and (130), the following limits
hold uniformly for . Moreover, it is worth recalling that the sequences and are bounded in and , respectively (see (116) and (117)). Thus, by the Frechet–Kolmogorov compactness theorem, it follows that the sequences and are relatively compact in and , respectively. As a consequence, by the arbitrariness of , it can be easily proven that the limiting measure v in (152) belongs to , and
whence also
(here, we have also used the Lipschitz continuity of g and the very definition of ; see (26)). Plainly, possibly extracting another subsequence, the above convergences imply (149) and (150).
Regarding (151), it suffices to observe that, by (150), there exists a null set such that, for all , there holds Thus, the conclusion follows immediately from this convergence and the a priori estimate in (119). Finally, observe that, from the convergences in (150) and the a priori estimates (117) and (118), it easily follows that □
Proposition 7.
Let and be as in (23). For every , let , , v be the subsequences and the limiting functions given in Lemma 6 and Propositions 5 and 6. Then, there holds
in and in .
Proof.
Let be any sequence as in Lemma 6. By (130), possibly up to a subsequence (not relabeled), we have
From the above convergence and (150), it follows that
here, we also hold that, for all sufficiently large n, there holds (see (112)); hence,
in (see (74), (117) and (118)).
Let us address (162). For all sufficiently large n, by (9) (applied with ), (117), (118) and (165), we have
Thus, the strong convergence in (162) follows from the generalized dominated convergence theorem, by the above inequality and the convergence in (164), since the sequences are convergent in (see (130)). □
5. Main Results: Proofs
Proof of Proposition 1.
For every nonnegative , choosing in (21) the test function , with as in (19), and arguing as in Remark 1- yields
for all for a suitable null set . Observe that, by separability arguments, the choice of can be made independent of the test function .
Fix any , . Let be a bounded open interval fixed arbitrarily. For every , , choosing in (167) and setting , we get
for all . In the proof of the above convergence, we hold that
since and belong to .
Let us now consider the sequences of Young measures associated with , respectively (e.g., see [33,34]). Since the latter are bounded in (recall that ), by the fundamental theorem for Young measures, there exist Young measures such that, up to a subsequence (not relabeled), there holds
[33,34]. By the above convergences and standard lower-semicontinuity results on the narrow topology (see Theorem 6 of [34]), for any and nonnegative as above, there holds
here, for , we have denoted by the disintegration of at x. Combining the above inequality with (168), we get
for all and nonnegative . Thus, there exists a null set (independent of by separability arguments) such that for all and . For any fixed x as above, choosing in the previous inequalities yields , whence for the probability measure turns out to be the delta measure concentrated at the point . This implies that the sequences converge to in measure (Proposition 1 of [34]), whence
possibly up to a subsequence (not relabeled). Therefore, by the Fatou Lemma, we have
for all nonnegative . Combining this convergence and (168) (with ), it easily follows that
for every , . Plainly, relying on the convergence in (169) and the convergence of the -norm in (170), there holds
for all as above. Moreover, since the limits are determined, it is easily seen that the above convergences hold true along the whole sequences . Then, (22) immediately follows from (171) by the arbitrariness of and . □
Proof of Theorem 1.
Let be two entropy solutions of problem (1) in (), with the same initial data .
Let us apply the Kružkov method of doubling variables ([21]). To this aim, let be defined in , , and assume that for every and for every .
We choose and in the entropy inequality (21) for and , respectively. This yields
and
Similarly, choosing and in the entropy inequality (21) for and , respectively, yields
and
Let be a symmetric mollifier in , and set in the previous inequalities
with , . Summing up the above inequalities with the same upper signs “+” and “−”, respectively, yields (for all small enough)
Here, for simplicity of notations, we have set
By well-known properties of mollifiers, setting in the above inequalities yields
where
(). Let
Applying (10) with , for , we get
in . For , set , . Then, there holds , ), and
in . Plainly, arguing as in step 1 of the proof of Proposition 5, we get (see the proof of (134) and (135))
Using (179) and (180) in (178) yields
in . Therefore, for every , there holds
here, we have set and
Fix any as above and observe that, for all , , by (182), inequality (177) reads as
Next, for any , with and large enough, set
(here, are the Lipschitz constants of , respectively). Given any , using as test function in (183) (with upper signs “+” and “−”, respectively), we obtain
whence (using the Lipschitz continuity of with Lipschitz constants , respectively)
Then, setting in the above inequality, there holds
Next, for every large enough, set
Plainly, for , inequality (184) can be rephrased as follows:
Since and satisfy the initial condition (22) with the same initial data, setting in (185) yields
for , whence (for and )
Finally, summing up the above inequalities with upper signs “+” and “−” yields
for . Applying Gronwall’s lemma to the previous inequality, we get
for , whence . Clearly, this implies that in . Therefore, for , the functions and satisfy the elliptic Equation (13) with the same data (also recall that both belong to , with ; ). Then, everywhere in (see Remark 1-), whence it easily follows that in (recall that g is strictly increasing). This concludes the proof. □
Proof of Theorem 2.
Let and be as in (23). Let and , , v be the subsequences and the limiting functions given in Lemma 6 and Propositions 5 and 6.
Observe for future reference that, by (130) and the Lipschitz continuity of and , there holds
whereas, from (129), we have
for . Moreover, in view of (159), it can be easily checked that, for every bounded interval and for t, there holds (possibly up to a subsequence not relabeled)
Let us prove that is a weak solution of (1) in with initial data . To this aim, observe that (11) and (12) follow from Propositions 5 and 6. Next, by the convergences in (84), (130), (162) and (187), setting in (75) (written with , ) yields equalities (14). Furthermore, by (151), (188) and (189), for , passing to the limit as in (69) proves that Equation (13) is satisfied in (hence in ).
Thus, in order to prove that is an entropy solution of (1) in , with initial data , it only remains to check inequality (21). The latter easily follows for every nonnegative , with , setting in (89) (written with , , ) by means of the convergences in (84), (130), (162) and (187).
- Let satisfy (25). This implies that (see (23)). Hence, by , for every , there exists an entropy solution of (1) in with initial data . In order to prove the existence of an entropy solution of (1) in , it is enough to notice that, by construction, the above entropy solutions satisfy all the estimates in (114)–(119), with a constant on the right-hand side satisfyingSince the right-hand side in the above inequalities is independent of and uniqueness of entropy solutions to (1) in every is ensured by Theorem 1, the conclusion easily follows from standard prolongation techniques (we omit the details). □
6. Conclusions
In this paper, we investigate the well-posedness of a coupled hyperbolic–elliptic system as in (1) with -initial data. Using a two-step approximation procedure involving pseudoparabolic regularization of the hyperbolic equations (see Section 3.1) and a suitable approximation of the initial data (see Section 4.1), we are able to overcome the analytical challenges arising from the lack of smoothness of the initial conditions and remove specific structural assumptions on the data functions . Regarding the latter, in the case where the elliptic Equation (4) is complemented with hyperbolic equations as in (5) and (6), we neglect in particular assumption on the nonnegativity of the turning rates, which does not fall within the model case considered in system (2) (see [1]). For initial data , our approach enables us to establish the existence of either local or global entropy solutions to problem (1) (in the sense of Definition 2) depending on the “smallness” of the initial norm (in this regard, see Theorem 2). Furthermore, the uniqueness of entropy solutions (see Theorem 1) follows from an adaptation of the classical doubling-variable technique for scalar conservation laws ([21]; see also [22,23,24,25,26,27,28] and the references therein). Our results provide an analytical foundation for basic issues (existence and uniqueness) regarding entropy solutions to coupled systems such as (1), which typically arise in biological contexts. This paves the way for a deeper understanding of their qualitative properties, such as the mechanism behind their global existence and blow-up in finite time.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The author acknowledges support by GNAMPA.
Conflicts of Interest
The authors declare no conflict of interest.
References
- Greenberg, J.M.; Alt, W. Stability results for a diffusion equation with functional drift approximating a chemotaxis model. Trans. Am. Math. Soc. 1987, 300, 235–258. [Google Scholar] [CrossRef]
- Horstmann, D. From 1970 until present: The Keller-Segel model in chemotaxis and its consequences. Jahresber. Deutsch. Math.-Verein. 2003, 105, 103–165. [Google Scholar]
- Murray, J.D. Mathematical Biology I. An Introduction, 3rd ed.; Interdisciplinary Applied Mathematics, 17; Springer: New York, NY, USA, 2002. [Google Scholar]
- Murray, J.D. Mathematical Biology II. Spatial Models and Biomedical Applications, 3rd ed.; Interdisciplinary Applied Mathematics, 18; Springer: New York, NY, USA, 2003. [Google Scholar]
- Perthame, B. Transport Equations in Biology; Frontiers in Mathematics; Birkhäuser: Basel, Switzerland, 2007. [Google Scholar]
- Keller, E.F.; Segel, L.A. Initiation of slime mold aggregation viewed as an instability. J. Theor. Biol. 1970, 26, 399–415. [Google Scholar] [CrossRef]
- Hillen, T.; Stevens, A. Hyperbolic models for chemotaxis in 1-D. Nonlinear Anal. Real World Appl. 2000, 1, 409–433. [Google Scholar] [CrossRef]
- Segel, L.A. A theoretical study of receptor mechanisms in bacterial chemotaxis. SIAM Appl. Math. 1977, 32, 653–665. [Google Scholar] [CrossRef]
- Goldstein, S. On diffusion by discontinuous movements and the telegraph equation. Quart. J. Mech. Appl. Math. 1951, 4, 129–156. [Google Scholar] [CrossRef]
- Kac, M. A stochastic model related to the telegrapher’s equation. Rocky Mt. J. Math. 1956, 4, 497–509. [Google Scholar] [CrossRef]
- Dolak, Y.; Hillen, T. Cattaneo models for chemosensitive movement, numerical solution and pattern formation. J. Math. Biol. 2003, 46, 153–170, corrected version after misprinted 160 in J. Math. Biol. 2003, 46, 461–478. [Google Scholar] [CrossRef]
- Filbet, F.; Laurençot, P.; Perthame, B. Derivation of hyperbolic models for chemosensitive movement. J. Math. Biol. 2005, 50, 189–207. [Google Scholar] [CrossRef]
- Guarguaglini, F.R.; Mascia, C.; Natalini, R.; Ribot, M. Stability of constant states and qualitative behavior of solutions to a one dimensional hyperbolic model of chemotaxis. Discret. Contin. Dyn. Syst. Ser. B 2009, 12, 39–76. [Google Scholar] [CrossRef]
- Hillen, T. Hyperbolic models for chemosensitive movement. Math. Models Methods Appl. Sci. 2002, 12, 1007–1034. [Google Scholar] [CrossRef]
- Hillen, T.; Rohde, C.; Lutscher, F. Existence of Weak Solutions for a Hyperbolic Model of Chemosensitive Movement. J. Math. Anal. Appl. 2001, 260, 173–199. [Google Scholar] [CrossRef]
- Guarguaglini, F.R.; Papi, M.; Smarrazzo, F. Local and global solutions for a hyperbolic-elliptic model of chemotaxis on a network. Math. Model. Methods Appl. Sci. 2019, 29, 1465–1509. [Google Scholar] [CrossRef]
- Li, Y.; Mu, C.; Xin, Q. Global existence and asymptotic behavior of solutions for a hyperbolic-parabolic model of chemotaxis on network. Math. Meth. Appl. Sci. 2022, 45, 6739–6765. [Google Scholar] [CrossRef]
- Bretti, G.; Natalini, R. Numerical approximation of nonhomogeneous boundary conditions on networks for a hyperbolic system of chemotaxis modeling the Physarum dynamics. J. Comput. Methods Sci. Eng. 2018, 18, 85–115. [Google Scholar] [CrossRef]
- Bretti, G.; Natalini, R.; Ribot, M. A hyperbolic model of chemotaxis on a network: A numerical study. ESAIM Math. Model. Numer. Anal. 2014, 48, 231–258. [Google Scholar] [CrossRef]
- Guarguaglini, F.R.; Natalini, R. Global smooth solutions for a hyperbolic chemotaxis model on a network. SIAM J. Math. Anal. 2015, 47, 4652–4671. [Google Scholar] [CrossRef]
- Kružkov, S.N. First order quasilinear equations in several independent variables. Math. USSR-Sb. 1970, 10, 217–243. [Google Scholar] [CrossRef]
- Bressan, A. Hyperbolic Systems of Conservation Laws. The One-Dimensional Cauchy Problem; Oxford Lecture Series in Mathematics and its Applications; Oxford University Press: Oxford, UK, 2000; Volume 20. [Google Scholar]
- Bressan, A.; LeFloch, P. Uniqueness of Weak Solutions to Systems of Conservation Laws. Arch. Ration. Mech. Anal. 1997, 140, 301–317. [Google Scholar] [CrossRef]
- Carrillo, J. Entropy Solutions for Nonlinear Degenerate Problems. Arch. Ration. Mech. Anal. 1999, 147, 269–361. [Google Scholar] [CrossRef]
- Crasta, G.; Piccoli, B. Viscosity solutions of inhomogeneous balance laws. Discret. Contin. Dyn. Syst. 1997, 3, 477–502. [Google Scholar] [CrossRef]
- Dafermos, C.M. The second law of thermodynamics and stability. Arch. Ration. Mech. Anal. 1979, 70, 167–179. [Google Scholar] [CrossRef]
- Panov, E.Y. Uniqueness of the solution of the Cauchy problem for a first order quasilinear equation with one admissible strictly convex entropy. Math. Notes 1994, 55, 517–525. [Google Scholar] [CrossRef]
- Serre, D. Systems of Conservation Laws 1; Hyperbolicity, Entropies, Shok Waves, Translated from the 1996 French Original by I. N. Sneddon; Cambridge University Press: Cambridge, UK, 1999. [Google Scholar]
- Bellomo, N.; Winkler, M. Degenerate chemotaxis system with flux limitation: Maximally extended solutions and absence of gradient blow-up. Commun. Partial. Differ. Equ. 2017, 42, 436–473. [Google Scholar] [CrossRef]
- Bellomo, N.; Winkler, M. Finite-time blow-up in a degenerate chemotaxis system with flux limitation. Trans. Am. Math. Soc. Ser. B 2017, 4, 31–67. [Google Scholar] [CrossRef]
- Hillen, T.; Levine, H. Blow-up and pattern formation in hyperbolic models for chemotaxis in 1-D. Z. Angew. Math. Phys. 2003, 54, 839–868. [Google Scholar] [CrossRef][Green Version]
- Smarrazzo, F.; Tesei, A. Measure Theory and Nonlinear Evolution Equations; Studies in Mathematics 86; De Gruyter: Berlin, Germany, 2022. [Google Scholar][Green Version]
- Ball, J.M. A Version of the Fundamental Theorem for Young Measures; Partial Differential Equations and Continuum Models of Phase Transitions (Proceedings of an NSF-CNRS Joint Seminar); Springer: Berlin/Heidelberg, Germany, 1989. [Google Scholar][Green Version]
- Valadier, M. A course on Young measures. Rend. Ist. Mat. Univ. Trieste. 1994, 26, 349–394. [Google Scholar][Green Version]
- Brezis, H. Analyse Fonctionnelle; Masson: Paris, France, 1983. [Google Scholar][Green Version]
- Dragomir, S.S. Some Gronwall Type Inequalities and Applications. In RGMIA Monographs; Victoria University: Melbourne, Australia, 2003. [Google Scholar][Green Version]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).