A refined criterion and lower bounds for the blow--up time in a parabolic--elliptic chemotaxis system with nonlinear diffusion
Monica Marras, Teruto Nishino, Giuseppe Viglialoro

TL;DR
This paper refines criteria and establishes lower bounds for the blow-up time of solutions in a chemotaxis system with nonlinear diffusion, analyzing conditions under which solutions become unbounded.
Contribution
It introduces a refined blow-up criterion and derives a lower bound for the blow-up time in a chemotaxis system with nonlinear diffusion.
Findings
Blow-up in $L^ abla$-norm implies blow-up in $L^{p_0}$-norm for certain $p_0$.
Provides a lower bound estimate for the blow-up time $T_{max}$.
Identifies parameter conditions leading to solution blow-up.
Abstract
This paper deals with unbounded solutions to the following zero--flux chemotaxis system \begin{equation}\label{ProblemAbstract} \tag{} \begin{cases} % about u u_t=\nabla \cdot [(u+\alpha)^{m_1-1} \nabla u-\chi u(u+\alpha)^{m_2-2} \nabla v] & (x,t) \in \Omega \times (0,T_{max}), \\[1mm] % about v 0=\Delta v-M+u & (x,t) \in \Omega \times (0,T_{max}), \end{cases} \end{equation} where , is a smooth and bounded domain of , with , , where the blow-up time, and real numbers. Given a sufficiently smooth initial data and set , from the literature it is known that under a proper interplay between the above parameters and the extra condition , system \eqref{ProblemAbstract} possesses…
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{NoHyper}0002010 Mathematics Subject Classification. Primary: 35B44, 35K51, 35K55. Secondary: 35Q92, 92C17. 000Keywords and phrases: blow–up time; chemotaxis system; nonlinear diffusion; lower bound.
*♯*Corresponding author: [email protected]
**A refined criterion and lower bounds for the blow–up time in a parabolic–elliptic chemotaxis system with nonlinear diffusion **
Monica Marras1, Teruto Nishino and Giuseppe Viglialoro1,♯
1Dipartimento di Matematica e Informatica
Università di Cagliari, Viale Merello 92, 09123 (Italy)
Abstract
This paper deals with unbounded solutions to the following zero–flux chemotaxis system
[TABLE]
where , is a smooth and bounded domain of , with , , where the blow-up time, and real numbers. Given a sufficiently smooth initial data and set , from the literature it is known that under a proper interplay between the above parameters and the extra condition , system () possesses for any a unique classical solution which becomes unbounded at . In this investigation we first show that for any blowing up classical solution in –norm blows up also in –norm. Then we estimate the blow–up time providing a lower bound .
1 Introduction and motivation
In this paper we study properties of given solutions which classically solve this chemotaxis problem
[TABLE]
where , the spatial variable is a vector of , with , belonging to a smooth and bounded domain and is the time variable. Further are proper real numbers, is the outward normal vector to and the initial data , supposed to be nonnegative and sufficiently regular, defines also the constant through the relation .
In the framework of self organization mechanisms for biological populations, and similarly to many variants of the well–known Keller–Segel models (see the celebrated papers [10, 11, 12]), system (1.1), which is expressed as a particular case of a more general formulation provided in [25], represents the situation where the motion of a certain cell density at the position and at the time , living in an impenetrable (homogeneous Neumann boundary conditions) domain and initially distributed according to the law of , is influenced by the presence of a chemical signal concentrations, whose deviation from its spatial mean at the same position time is indicated with .
Remark 1.1**.**
Let us precise that in this paper the mentioned deviation is, essentially, the difference between the signal concentration and its mean, and that conversely to what happens to the cell and signal densities (which are nonnegative) it changes sign. In particular, from the definition itself of , we have that its mean is zero (as fixed in the last assumption of problem (1.1)), which in turn ensures the uniqueness of the solution for the Poisson equation under homogeneous Neumann boundary conditions. In this sense, the corresponding compatibility condition, leads for to and by virtue of (coming by integrating over the equation for ), the choice remains justified. Finally, and in line with what we said, we advise the reader that in the literature, and also in different places of this section, stands for the chemical signal concentration itself and not for its deviation; nevertheless, we understand that in view of what we specified above it is not necessary to introduce a further symbol for the deviation, since it will be very clear from the context to which one of these quantities we are referring to.
A natural and singular situation possible appearing also in more general cellular processes than that introduced in model (1.1), but also idealized by two partial differential equations (one for the cell distribution and one for the chemical), is the chemotaxis collapse, when an uncontrolled gathering of cells at certain spatial locations is perceived as time evolves; essentially, , in a particular instant of time (the blow-up time), becomes unbounded in one or more points of its domain. This degeneration of the cell movements into aggregation is, above all, justified by the presence of the destabilizing effect in the coupled term (cross-diffusion term in the evolutive equation for : in our case the expression in system (1.1)); in turn the strength of such a destabilizing factor depends on the evolutive equation of (in our case, of course the second one in system (1.1)).
The pioneer Keller–Segel system [11], already cited, is obtained from (1.1) when , and with second equation given by , with , where in this case is the chemical signal concentration (and not its deviation). For positive chemical and cell distributions the expression manifests how an increase of the cells favors a production of the signal. For this case a very comprehensive and extensive theory on existence and properties of global, uniformly bounded or blow-up solutions, especially in terms of the size of the initial data, is available; for a complete picture, we suggest the introduction of [5] for the parabolic-parabolic case (i.e., ), [9] and [17] for the parabolic-elliptic case (i.e., ) and in addition the survey by [4, Hillen and Painter] where, inter alia, reviews of various models about Keller-Segel-type systems are discussed.
Besides the size of the initial data, there is another aspect related to the existence of both bounded or unbounded solutions to chemotaxis–systems; this is the mutual interplay between the weight of diffusion and that of the chemotactic sensitivity , which in our context are and , respectively. (To the readers interested to numerical simulations indicating the influence of the parameters and on solutions to a Keller–Segel system similar to that studied in the current research we suggest [24, 5].) Let us give some information in this regard for system (1.1) with second equation of parabolic type, i.e . In [1], [2] and [23] it is essentially established that the relation is a necessary and sufficient condition to ensure global existence and boundedness of solutions even emanating from large initial data. This is a generalization of [5, Theorems 4.1 and 6.1], where (see also [23] and [6]). Even more, in [7] a parabolic–parabolic degenerate chemotaxis system ( in (1.1)) is discussed: resorting to the natural concept of weak solutions, it is shown that for and the problem possesses global bounded solutions (we refer also to [8] for a discussion on the super–critical case ). Let us note that the reciprocal iteration involving and somehow establishes that the destabilizing effect of the chemo-sensitivity is weaker than that from the diffusion , which conversely tends to provide equilibrium to the model.
Motivated by the above discussion, aim of the present research is expanding the theory of the mathematical analysis of problem (1.1) studied in [25], which, so far we are aware, covers the following situations: (i) for , , any sufficiently regular initial data emanates solutions which are global and uniformly bounded; (ii) for , , and a ball of there exist initial data which emanates unbounded solutions at some finite time .
In light with this, we are interested in deriving a lower bound for the blow–up time of the unbounded solutions to (1.1), so to essentially obtain a safe interval of existence where such solutions exist. We will achieve this result according to the steps specified in the next section.
2 Some premises and preparatory tools: plan of the paper
For these coming reasons, we want to observe that there is no automatic connection between the occurrence of blow-up for solutions to (1.1) in the classical –norm and that in –norm (). Indeed, once it is assumed that is a bounded domain, we only can conclude that
[TABLE]
so that if a solution blows up in –norm, it does in –norm; conversely, if a solution becomes unbounded in –norm at some finite time , might also remain bounded in a neighborhood of . In particular, since for a classical solution to system (1.1) the –component is continuous in , the function enjoys this same property on and if is finite as , can even be continuously prolonged up to the boundary .
On the other hand, the evolution in time for the function is more amenable to be analyzed than that for , so that it is preferable to use this to derive lower bounds for . In this way, in order to avoid the gap between the analysis of the blow–up time in the two different mentioned norms will move toward a twofold action:
- •
to detect proper –norms, for suitable depending on and , ensuring that the unbounded solutions in –norm also blow up in these –norms;
- •
to provide lower bounds for the blow–up time of unbounded solutions in these –norms.
To be more precise, we invoke the results in [25] in order to frame scenarios where local classical solutions to system (1.1) are detected (3). Successively, and this is a crucial step in our investigation, we show that under suitable assumptions on the parameters and any local solution to system (1.1) which blows up at finite time in –norm also does in –norm (Theorem 3.3 of 3, proved in 5); to this aim, we will rely on [3, Theorem 2.2], so to derive proper estimates by virtue of the analysis of the energy function , for some , defined for all and associated to the local solution ; these estimates are derived in 5. (In 4 we give some necessary and preliminary tools.) Successively, in 6, it is established that the same satisfies a first order differential inequality (ODI) of the type on . In particular, for any the function obeys the Osgood criterion ([19]),
[TABLE]
so that an integration on of the mentioned ODI implies
[TABLE]
thereby yielding the desired lower bound for the blow–up time . (This is Theorem 3.4 of 3, whose proof is presented in 6.)
3 Starting point and presentation of the main theorems
From the above considerations, let us give the following proposition, which represents the starting point of our work and that we claim according to our purposes.
First, we fix these mutual blow–up restrictions on the parameters , since in the light of the results presented in 1 they are the natural assumptions enforcing solutions to model (1.1) to become unbounded:
[TABLE]
Proposition 3.1**.**
Let be a bounded and smooth domain of , with , and , for some , a nontrivial initial data with . Additionally, let comply with the blow–up restrictions (BU). Then, there exist a finite time and a unique local classical solution
[TABLE]
to system (1.1) which blows up at in the sense that
[TABLE]
Proof.
See [25, Theorem 4.5]. ∎
Remark 3.2**.**
For the sake of scientific information, [25, Theorem 4.5] is proved in a ball of and moreover under additional restrictions on the data , as in particular some assumptions on its support which rule out the choice of constant initial data. (Indeed, is a bounded global solutions to system (1.1); this is the reason why we exclude trivial in Proposition 3.1 and throughout all the paper.) Despite that, since in the present investigation we are mostly interested in the derivation of lower bounds for the blow–up time to unbounded solutions to system (1.1), we understand that the more general claim proposed in Proposition 3.1 does not mislead and is consistent with our overall aim.
Theorem 3.3**.**
Let be a bounded and smooth domain of , with , and , for some , a nontrivial initial data. Then, for complying with the blow–up restrictions (BU) and , the blow–up classical solution to system (1.1) provided by Proposition 3.1 is such that for all
[TABLE]
Theorem 3.4**.**
Let be a bounded and smooth domain of , with , and , for some , a nontrivial initial data. Then, for complying with the blow–up restrictions (BU) and , it is possible to find and as well as , depending on , such that the blow–up time of the unbounded classical solution to system (1.1) provided by Proposition 3.1 satisfies
[TABLE]
where .
Remark 3.5**.**
In the absence of the result of Theorem 3.3, and taking in mind what discussed at the beginning of 2, the current formulation of Theorem 3.4 might fail without adding the extra hypothesis that In fact, the above ODI would infer, by integration on as well, that
[TABLE]
which does not produce any lower bound if no additional assumption on is given. Thereafter, even though in the literature there are several papers concerning estimates for lower bounds of blow-up time for solutions to general evolutive problems whose formulation relies on the hypothesis on the divergence of certain energy functions (see, for instance, [13, Theorem 1 and Theorem 2], [15, Theorem 2.4 and Theorem 2.7] and [22, Theorem 1 and Theorem 2] for contributions in the frame of chemotaxis models or [20, Theorem 2.1] and [21, Theorem 1 and Theorem 4] for others in different areas), the inspiring paper [3] represents a cornerstone that allows us to avoid this hypothesis, precisely thanks to the implication
“A solution to (1.1) which blows up in –norm automatically does in –norm”
*given in Theorem 3.3. (An equivalent approach is employed in [18] for unbounded solutions to the same fully parabolic chemotaxis problem analyzed in [3].) *
4 Fixing some parameters and functional inequalities
In the following lemma, we fix the value of an important parameter, used to quantify certain constants appearing throughout our logical steps, essentially by adjusting the data and defining problem (1.1). This parameter will be set in a such a way that the employments of some crucial inequalities below will be straightforwardly justified.
Lemma 4.1**.**
For , let satisfy the assumptions in (BU) and . Additionally, for any , , let
[TABLE]
Then for all these relations hold
[TABLE]
where
[TABLE]
Proof.
The assumptions done in (BU) and the definition of , in conjunction with the restriction on , imply , i.e. (4.2a), so that in turn we have
[TABLE]
therefore
[TABLE]
and, thus, also (4.2b) is attained. Again from the assumption on , we also have, recalling again (BU), that , so that relation and the definition of also easily give (4.2c) and (4.2d), this last one also used to show (4.2e) and (4.2f). The remaining inequalities come from
[TABLE]
∎
Remark 4.2**.**
As to the definition of the parameter in (4.1), we desire to point out that the expression of is precisely fixed in that way exactly to avoid to have to enlarge a general up to some suitable values which are used in our derivations. Moreover, the addition “+1” in the same definition is not strictly necessary but, undoubtedly, its presence will allow us to uniquely establish the magnitudes of some constants, many of these taking part, inter alia, in the quantitative calculations of the lower bound for of Theorem 3.4.
As announced, let us now recall the Gagliardo–Nirenberg inequality, which throughout this paper will be used in a less common version:
Lemma 4.3**.**
Let be a bounded and smooth domain of , with , and complying with the blow–up restrictions (BU). Additionally, for given in (4.1), let , . Then there exists a uniquely determined positive constant such that
[TABLE]
where .
Proof.
This is an adaptation and a specific case of [14, Lemma 2.3] with . Given for as in (4.1), for and as in our assumptions, we see that and, by virtue of (4.2a), , so that the claim straightforwardly follows by [14, Lemma 2.3], taking as the maximum value of the constant therein used under the constraints on and herein assumed. ∎
5 The energy function : some a priori estimates
Having ensured existence of unbounded solutions to system (1.1) we can now turn our attention to the evolution in time of the energy function , with . (In particular, having properly fixed the parameter in Lemma 4.1, and in light of Remark 4.2, we will analyze for ) Apparently, this analysis will provide crucial information for both the proofs of Theorems 3.3 and 3.4.
Lemma 5.1**.**
Under the assumptions of Proposition 3.1, let be the local solution to system (1.1) which blows up at finite time in the sense of (3.1), and the energy function defined for as in (4.1) by
[TABLE]
Then there exist such that
[TABLE]
Proof.
The first equation of (1.1) enables us to see
[TABLE]
where
[TABLE]
As to the addendum , from Lemma 4.1 we have , so that we can write
[TABLE]
where Similarly, in order to control , we start to write
[TABLE]
Setting
[TABLE]
we explicitly see from problem (1.1) that
[TABLE]
In view again of Lemma 4.1, we have so we can calculate as
[TABLE]
Additionally, from the relation
[TABLE]
with some manipulations and using
[TABLE]
we infer
[TABLE]
[TABLE]
now produce on
[TABLE]
where we have set
[TABLE]
On the other hand, since a combination of relations (5.3) and (5.7) yields the following identity
[TABLE]
we can estimate the forth term on the right–hand side of (5.8) by the Young inequality, so to have for any
[TABLE]
with
[TABLE]
Subsequently, from (5.8) and (5.9) is achieved that
[TABLE]
so that, by taking and considering that from Lemma 5.1 the constant might be negative, we finally conclude posing and obtaining
[TABLE]
∎
The coming lemma includes the details used to control the terms and .
Lemma 5.2**.**
Under the assumptions of Proposition 3.1, let be the local solution to system (1.1), which blows up at finite time in the sense of (3.1), and the energy function defined in Lemma 5.1. Then there exist positive constants and such that
[TABLE]
If, additionally, for some it is known that
[TABLE]
then we can find such that for all it holds
[TABLE]
Proof.
Thanks to Lemma 4.1 we can set
[TABLE]
and make use of the Gagliardo–Nirenberg inequality in Lemma 4.3. We achieve
[TABLE]
for some , , and where
[TABLE]
belongs to in view of relation (4.2b). Subsequently for and through the definition , we have that this relation is satisfied
[TABLE]
so that the first part of this lemma is shown.
As to the second claim, we will proceed in a similar way to deal with the term . With the aid of bound (5.11), for and Lemma 4.1, if we set
[TABLE]
the Gagliardo–Nirenberg inequality given in Lemma 4.3 yields constants ,
[TABLE]
and
[TABLE]
with the property that
[TABLE]
Applying to the gradient term appearing in (5.16) the Young inequality, supported with the introduction of an arbitrary positive constant , we can write
[TABLE]
with some , so as a consequence bound (5.16) is reduced to
[TABLE]
where . ∎
This following result will be the last step toward the proof of Theorem 3.3.
Lemma 5.3**.**
Under the assumptions of Proposition 3.1, let be the local solution to system (1.1), which blows up at finite time in the sense of (3.1), and the energy function defined in Lemma 5.1. If, additionally, for some it is known that for some
[TABLE]
then there exists with this property:
[TABLE]
and for any it holds that
[TABLE]
Proof.
With the results of lemmata 5.1, 5.2 and 5.3 in hour hands, we have by plugging (5.18) into (5.1)
[TABLE]
Moreover, in order to have strictly positivity of the first term on the right-hand side of this gained inequality, we choose small enough as to satisfy In this way, taking into consideration (5.14), relation (5.22) reads
[TABLE]
where and . Subsequently, we arrive at this initial problem
[TABLE]
so to have, by an application of a comparison principle,
[TABLE]
On the other hand, from this bound, elliptic regularity results applied to the second equation of system (1.1), i.e. , imply and, hence, . In particular, the Sobolev embeddings (from Lemma 4.1 is ) infer . Consequently, through the Hölder inequality with exponents and (again Lemma 4.1 ensures that ), we have on
[TABLE]
Therefore, in view of estimate (5.24) we also get
[TABLE]
so that (5.20) and (5.21) are attained posing . ∎
Proof of Theorem 3.3
Proposition 3.1 provides the unique local classical solution to system (1.1) which blows up at finite time . By reduction to the absurd, let such that for all it holds that
[TABLE]
then, for some we get
[TABLE]
Now, for for given in (4.1), Lemma 5.3 ensures that
[TABLE]
Hereafter, with the same nomenclature used by Tao and Winkler, also classically solves in problem (A.1) of [23, Appendix A] for
[TABLE]
In particular, from the boundary condition on , we see that (A.2)–(A.5) and the second inclusion of (A.6) for any choice of are complied. Moreover, always from the definition of , relations (A.8), (A.9) and (A.10) of [23, Lemma A.1.] are also valid, so we have through this lemma that for some
[TABLE]
which is in contradiction to the fact that the solution blows up at finite time ∎
6 The ordinary differential inequality for : derivation of lower bounds
In preparation to the last proof, let us now use some of the above derivations to obtain an ODI for the energy function . This ODI, actually, is satisfied by both if such energy function is associated to a local or a global solution to system (1.1); despite this, since we will make use of this ODI to estimate the blow–up time for , we also confine the forthcoming lemma to the case of unbounded solutions.
Lemma 6.1**.**
Under the assumptions of Proposition 3.1, let be the local solution to system (1.1), which blows up at finite time in the sense of (3.1), and the energy function defined in Lemma 5.1. Then there exist such that satisfies this ODI
[TABLE]
being as in (4.3).
Proof.
We start from Lemma 5.1 and use the Gagliardo-Niremberg inequality to estimate the last term on the right hand side of (5.1). For as in Lemma 4.1 and defined in (4.2f), if we set
[TABLE]
Lemma 4.3 yields
[TABLE]
Thanks to the first of (4.2g), and recalling the definitions in (4.3), an application of the Young inequality with exponents and leads to
[TABLE]
with
[TABLE]
Then, by inserting (6.3) into (5.1) gives the claimed ordinary differential inequality
[TABLE]
with ∎
Proof of Theorem 3.4
For and complying with the blow–up restrictions (BU), let be the number given in Lemma 4.1 and the finite blow–up time, in –norm, of the local solution to system (1.1) provided by Proposition 3.1. Since , from Theorem 3.3 we know that On the other hand, Lemma 6.1 ensures that satisfies the ODI (6.1) for any , where in particular it is seen that the function obeys the Osgood criterion (2.1), where have been computed in lemmata 5.1 and 6.1 and defined in (4.2g). Thereafter, by integrating (6.1) between [math] and , we obtain estimate (3.2), and the proof is completed. ∎
Remark 6.2**.**
We observe that, conversely to what happens with relation (3.2), it is possible to obtain an explicit expression for the lower bound by reducing (6.5) as follows: from the definition of , i.e. , and the Hölder inequality we can estimate in relation (6.1) as
[TABLE]
with
[TABLE]
so that (6.1) can be rewritten in this form:
[TABLE]
Now, similarly to what done in [16], since blows up at finite time there exists a time such that
[TABLE]
From (recall (4.2g)), we can estimate the second and third terms of (6.7) by means of :
[TABLE]
By plugging expressions (6.8) into (6.7) we obtain for
[TABLE]
[TABLE]
so that an integration of (6.9) on yields this explicit lower bound for :
[TABLE]
Acknowledgments
The authors would like to express their sincere gratitude to Professor Stella Vernier Piro and Professor Tomomi Yokota for giving them the precious opportunity of a joint study and their encouragement. GV and MM are members of the Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of the Istituto Nazionale di Alta Matematica (INdAM) and are partially supported by the research project Integro–differential Equations and Non–Local Problems, funded by Fondazione di Sardegna (2017).
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