Existence and uniqueness of global classical solutions to a two species cancer invasion haptotaxis model
Jan Giesselmann, Niklas Kolbe, Maria Lukacova-Medvidova and, Nikolaos Sfakianakis

TL;DR
This paper proves the existence and uniqueness of global classical solutions for a complex two-species cancer invasion model involving haptotaxis, cell proliferation, and extracellular matrix dynamics.
Contribution
It establishes the first rigorous mathematical proof of global solutions for a multi-species cancer invasion model with epithelial-mesenchymal transition.
Findings
Positivity of solutions is maintained.
Global existence and uniqueness are proven under large initial data.
The model captures key biological processes like cell migration and ECM remodeling.
Abstract
We consider a haptotaxis cancer invasion model that includes two families of cancer cells. Both families, migrate on the extracellular matrix and proliferate. Moreover the model describes an epithelial-to-mesenchymal-like transition between the two families, as well as a degradation and a self-reconstruction process of the extracellular matrix. We prove positivity and conditional global existence and uniqueness of the classical solutions of the problem for large initial data.
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hsymbol=h
Existence and uniqueness of global classical solutions to a two species cancer invasion haptotaxis model
Jan Giesselmann [email protected] Institute of Applied Analysis and Numerical Simulation, University of Stuttgart
Niklas Kolbe [email protected] Institute of Mathematics, Johannes Gutenberg-University Mainz
Mária Lukáčová-Medvid’ová [email protected] Institute of Mathematics, Johannes Gutenberg-University Mainz
Nikolaos Sfakianakis [email protected] Institute of Mathematics, Johannes Gutenberg-University Mainz
Institute of Applied Mathematics, University of Heidelberg
Abstract
We consider a haptotaxis cancer invasion model that includes two families of cancer cells. Both families, migrate on the extracellular matrix and proliferate. Moreover the model describes an epithelial-to-mesenchymal-like transition between the two families, as well as a degradation and a self-reconstruction process of the extracellular matrix. We prove positivity and conditional global existence and uniqueness of the classical solutions of the problem for large initial data.
1 Introduction
Cancer research is a multidisciplinary effort to understand the causes of cancer and to develop strategies for its diagnosis and treatment. The involved disciplines include the medical science, biology, chemistry, physics, informatics, and mathematics. From a mathematical point of view, the study of cancer has been an active research field since the 1950s and addresses different biochemical processes relevant to the development of the disease, see e.g. [27, 3, 38, 23, 30].
In particular, a large amount of the research focuses on the modelling of the invasion of the Extracellular Matrix (ECM); the first step in cancer metastasis and one of the hallmarks of cancer, [12, 26, 6, 25]. The invasion of the ECM, involves also a secondary family of cancer cells that is more resilient to cancer therapies. These cells are believed to possess stem cell-like properties, such as self-renewal and differentiation, as well as the ability to metastasize, i.e. detach from the primary tumour, afflict secondary sites within the organism and engender new tumours [5, 17]. These cells are termed Cancer Stem Cells (CSCs) and originate from the more usual Differentiated Cancer Cells (DCCs) via a cellular differentiation program that is related to another cellular differentiation program found also in normal tissue, the * Epithelial-Mesenchymal Transition* (EMT) [21, 11, 29].
Both types of cancer cells invade the ECM and while doing so, affect its architecture, composition, and functionality. One of the methods they use, is to secrete matrix metalloproteinases (MMPs), i.e. enzymes that degrade the ECM and allow for the cancer cells to move through it more freely, [10, 9].
During the EMT and the subsequent invasion of the ECM, chemotaxis111cellular movement under the influence of one or more chemical stimuli, and haptotaxis222cellular movement along gradients of cellular adhesion sites or ECM bound chemoattractants, play fundamental role [31, 28]. These processes are typically modelled using Keller-Segel (KS) type systems, i.e. macroscopic deterministic models that were initially developed to describe the chemotactic movement and aggregation of Dictyostelium discoideum bacteria. These models were introduced in [24, 18] and were later (re-)derived using a many particle system approach in [33]. They are known to potentially (according to the spatial dimension and the initial mass) blow-up in finite time and their analysis has been a field of intensive research, e.g. [4, 8].
In a similar spirit, KS-like models have been used to model cancer invasion while taking into account chemotaxis, haptotaxis, and other processes important in development of cancer, see e.g. [2, 35]. Although these models are simplifications of the biochemical reality of the tumour, their solutions display complex dynamics and their mathematical analysis is challenging. We refer indicatively to some relevant results on the analysis of these models. It is by far not an exhaustive list of the topic, rather an insight to analytical approaches for similar models.
In [22] a single family of cancer cells is considered. The model is haptotaxis with cell proliferation, matrix degradation by the MMPs, without matrix remodelling. In this work global existence of weak solutions is proven. In addition, the solutions are shown to be uniformly bounded using the method of “bounded invariant rectangles”, which can be applied once the model is reformulated in divergence form using a particular change of variables.
In [37] the author considers a haptotaxis model with one type of cancer cells, which accounts for self-remodelling of the ECM, and ECM degradation by MMPs. With respect to the MMPs, the model is parabolic. The decoupling between the PDE governing the cancer cells, and the ODE describing the ECM, is facilitated by a particular non-linear change of variables. The global existence of classical solutions follows by a series of delicate a-priori estimates and corresponding limiting processes.
In [40] a single family of cancer cells is considered that responds in chemotactic-haptotactic way to its environment. The ECM is degraded by the MMPs and is self-remodelled. The diffusion of the MMPs is assumed to be very fast and the resulting equation is elliptic. Global existence of classical solutions follows after a-priori estimates, that are established using energy-type arguments.
In [34] two species of cancer cells are considered using a motility-proliferation dichotomy hypothesis on the cancer cells. Further assumptions include the matrix degradation and (self-)remodelling, as well as a type of radiation therapy. The authors prove global existence of weak solutions via an appropriately chosen “approximate” problem and entropy-type estimates.
For further results on the analysis of similar models we refer to the works [7, 16, 39, 36, 15].
In our paper the cancer invasion model features DCCs, with their density denoted by , CSCs, denoted as , and the EMT transition between them. We consider the model in two space dimensions and assume that both families of cancer cells perform a haptotaxis biased random motion modelled by the combination of diffusion and advection terms. We assume moreover that they proliferate with a rate that is influenced by the local density of the total biomass. The ECM is assumed to be degraded by the MMPs which in turn are produced by the cancer cells. They diffuse freely in the environment and degrade with a constant rate.
The model proposed in [32, 13] reads as follows:
[TABLE]
with (fixed) coefficients and an EMT rate function whose properties will be specified below.
The system (1.1) is complemented with the no-flux boundary conditions
[TABLE]
and the initial data
[TABLE]
for which we assume that
[TABLE]
for a given . The domain is bounded with smooth boundary that satisfies
[TABLE]
The model (1.1) has been scaled with respect to reference values of the primary variables and the coefficients of diffusion as well of the evolution of the MMPs have been reduced to 1 since they do not participate in the final (conditional) global existence result. For the complete coefficient/parameter set we refer to [32].
We moreover assume that the parameters of the problem satisfy
[TABLE]
This condition is crucial for the analysis presented in this paper. Similarly to the open problem posed at the end of [37] it is not clear whether solutions to (1.1) may blow up in case (1.6) does not hold.
We assume that the EMT rate is a function , that is Lipschitz continuous, has Lipschitz continuous first derivatives, and satisfies moreover for ,
[TABLE]
[TABLE]
Due to the continuity, we get for that,
[TABLE]
for an with
[TABLE]
Here is the closure of the cylinder
[TABLE]
Let us note that throughout this work we will call solutions of (1.1) strong solutions provided they are regular enough that all derivatives appearing in (1.1) are weak and the solution belongs to the corresponding Sobolev space, e.g. . We refer to solutions of (1.1) as classical solutions provided their regularity is such that all terms in (1.1) are point wise well-defined. The main result in this work is the proof of existence and uniqueness of global classical solutions to the problem (1.1).
Theorem 1.1** (Global existence).**
Let and (1.6) hold. Then for any and there exists a unique classical solution
[TABLE]
of the system (1.1)–(1.5) with and .
The proof of Theorem 1.1 is based on a local existence result for strong solutions, Theorem 2.1, a proof that the strong solutions are indeed classical solutions, Theorem 2.2, and a series of a-priori estimates, inspired by [37], that enable us to extend the local solutions for large times. We note that the raise of the regularity, which takes place in Lemma 5.1, could not be achieved by means of energy-type techniques as in [37]. We instead base our argumentation on parabolic theory and Sobolev embeddings, using an approach that resembles the strategy employed in [40].
Comparing this work with [22, 37, 40] we note that the model (1.1) features two types of cancer cells. We treat their corresponding equations separately due to the different motility parameters of the two families, but their non-linear coupling by the EMT necessitates particular treatment. In comparison to [34] the model we consider in this work assumes that both families of cancer cells migrate and proliferate and that the EMT takes place only in one direction. Thus, we do not consider mesenchymal-epithelial transition. Moreover, we allow for a wide variety of EMT coefficient (functions) that are bounded and Lipschitz continuous (1.7a).
The rest of this paper is structured as follows: in Section 2 we perform a change of variables and prove local existence of strong solutions by a fixed point argument. In addition, we show that these strong solutions are classical solutions. Section 3 is devoted to a series in of a-priori estimates which continues in Section 4. These estimates allow us to extend the local solutions to global solutions in Section 5. We conclude with two appendices. Appendix A gathers some facts from parabolic theory and Appendix B contains the proof of a technical lemma.
2 Local existence of classical solutions regularity
In this section we show local in time existence of classical solutions. To this end we reformulate (1.1) using a change of variables.
2.1 Change of variables
Following [37, 40] we perform the change of variables
[TABLE]
Consequently, the system (1.1) recasts as
[TABLE]
where
[TABLE]
describes the deviation of the total density from the equilibrium value 1.
The system is closed with initial and boundary conditions resulting from (1.2) and (1.3)
[TABLE]
Analogously, (1.4) implies
[TABLE]
For the rest of this work we will use the following notation:
[TABLE]
2.2 Local existence
In this section we establish existence and uniqueness of local (in time) classical solutions of (2.1). We begin by showing existence and uniqueness of local (in time) strong solutions.
Theorem 2.1** (Local existence and uniqueness).**
Let (2.4) and (1.5) be satisfied. Then there exists a unique strong solution (for any ) of system (2.1), (2.3) for a final time depending on
[TABLE]
Moreover,
[TABLE]
Proof.
We will prove the local existence by Banach’s fixed point theorem
Spaces.
Let be the Banach space of functions with finite norm
[TABLE]
and
[TABLE]
Fixed point.
For any we define given such that
[TABLE]
where is given by (2.2). For the proof we fix some (arbitrary) and set .
is well defined and .
We start with the component and consider the equations (2.6a)-(2.6b). Since and this linear parabolic problem has a unique solution by Theorem A.1:
[TABLE]
Here we can apply the Sobolev embedding Theorem A.3 and get
[TABLE]
Moreover, the parabolic comparison principle yields
[TABLE]
The initial value problem (2.6c), (2.6d) can be written as
[TABLE]
where
[TABLE]
due to (2.8) and . The ODE system has the solution
[TABLE]
with gradient
[TABLE]
For we get
[TABLE]
and thus
[TABLE]
Next, we deal with the parabolic problem (2.6e), (2.6f) that can be written as
[TABLE]
with boundary and initial conditions given by (2.6f) where , . We have
[TABLE]
because of , (2.8), (1.7a). Applying the maximal parabolic regularity result (Theorem A.1), there is a unique solution that satisfies
[TABLE]
Further the Sobolev embedding A.3: gives us
[TABLE]
If we get
[TABLE]
Moreover,
[TABLE]
by the parabolic comparison principle since the right hand side of (2.6e) is non negative. Since we have shown that , the assertion (2.18) is true also for in the problem (2.17). Hence (2.21), (2.22) for follow by the same arguments.
is a contraction.
We take and consider . As shown before one can find
[TABLE]
that satisfy (2.6a), (2.6b) for . Further we have
[TABLE]
where
[TABLE]
Hence by Theorem A.1 there is a solution to (2.23),(2.24) satisfying
[TABLE]
for all . The Sobolev embedding A.3 once again yields
[TABLE]
We get from (2.6c), (2.6d) that
[TABLE]
where
[TABLE]
There we have used the notation
[TABLE]
Since and due to (2.26), we get
[TABLE]
The solution of the ODE (2.27) is given by
[TABLE]
and thus
[TABLE]
Finally we obtain by using and the bounds (2.28), (2.29) that
[TABLE]
Next, we derive the parabolic problem for with coefficients by (2.6e)–(2.6h)
[TABLE]
where
[TABLE]
We have used the notation
[TABLE]
Due to , (2.16), (2.21), (2.26), (2.32), (1.7b), (1.7c) we can estimate
[TABLE]
Since a solution of (2.33), (2.34) exists by Theorem A.1 with
[TABLE]
hence the bound can be extended using the Sobolev embedding A.3 and we get
[TABLE]
Then,
[TABLE]
If we take such that
[TABLE]
we see by (2.32) and (2.39) that is a contraction in .
Conclusion and regularity.
According to the Banach fixed-point theorem has a unique fixed point , which together with from (2.7) is the unique solution of (2.1), (2.3). By (2.7) and (2.19) we have that
[TABLE]
Due to (2.10), (2.11), and (2.16) we get
[TABLE]
By (2.22), (2.12), and (2.9) we get the non-negativity
[TABLE]
Moreover we note that due to the non negativity of , , and
[TABLE]
can not become negative and hence . ∎* *
Our next result shows that the strong solutions which we constructed in Theorem (2.1) are indeed classical solutions.
Theorem 2.2** (Regularity).**
Under the initial and boundary conditions (2.3) and (2.4) the solution in Theorem 2.1 satisfies
[TABLE]
for .
Proof.
We use Theorem 2.1 and the Sobolev embedding A.3. Then we obtain for a sufficiently large , that
[TABLE]
We further derive from (2.1) that
[TABLE]
where
[TABLE]
Because of (2.41) and we get
[TABLE]
The solution of (2.42) is given by
[TABLE]
and hence by (2.45)
[TABLE]
The equation for in (2.1) can be written as
[TABLE]
where
[TABLE]
by (2.41), (2.47), and (1.7b). Thus, we can apply Theorem A.2 and get together with (2.47) that the solution of (2.48) satisfies
[TABLE]
Similarly, the equation for in (2.1) can be rewritten as
[TABLE]
Applying Theorem A.2 we obtain
[TABLE]
Furthermore, (2.41), , (2.6a), and (2.6b) yield
[TABLE]
By using (2.47) together with (2.51), (2.55), and (2.56) and repeating the proof of (2.47) for , we get
[TABLE]
The equation for in (2.1) provides further that
[TABLE]
which yields together with and (2.57) that
[TABLE]
∎
Remark 2.3**.**
Let us note that the local existence of classical solutions that follow from the Theorems 2.1 and 2.2 is valid also for more than two space dimensions.
3 A-priori estimates for
To extend the local (in time) solutions whose existence we have established in the last section to global (in time) solutions we need some a priori estimates. Establishing those estimates is the purpose of this section. Let be a classical solution of (2.1) in for any . In what follows we will show the corresponding a priori estimates. We begin by proving bounds for , and uniformly in time.
Lemma 3.1**.**
Let be a solution of (2.1), then we have for all ,
[TABLE]
Proof.
We integrate the equation in (1.1) over and employ the boundary conditions (2.3) and :
[TABLE]
Due to the positivity of and we obtain
[TABLE]
or, after the boundedness of and the corresponding embeddings, as
[TABLE]
Since the right hand side is a quadratic polynomial with roots [math] and , we deduce by comparison
[TABLE]
Similarly, we see that due to the positivity of , , the equation (1.1) implies
[TABLE]
The right-hand side has two roots, one negative and one positive that is larger than :
[TABLE]
We deduce by comparison
[TABLE]
For we get from (1.1), after integration over , due to the positivity of , , , and the boundary conditions (2.3), that:
[TABLE]
Using (3.1a) and (3.1b) we obtain
[TABLE]
Finally we deduce that
[TABLE]
∎
We have shown uniform in time bounds of In order to prove a uniform in time estimate for we need the following Lemma which can be found (for an arbitrary number of dimensions) in [19, Lemma 1] and is an extension of [16, Lemma 4.1]
Lemma 3.2**.**
Let and let satisfy the equation in (1.1) together with \frac{\partial m}{\partial\nu}\big{|}_{\Gamma_{T}}=0. Moreover, we assume that for and all . Then for
[TABLE]
where
[TABLE]
Moreover, if then (3.2) is valid for , if then (3.2) is valid for .
Proof.
See Appendix B. ∎
We now combine Lemma 3.2 with a suitable Sobolev embedding to obtain a uniform bound for in higher Lebesgue spaces:
Lemma 3.3**.**
Let , and satisfy the equation for in (1.1) together with \frac{\partial m}{\partial\nu}\big{|}_{\Gamma_{T}}=0. Moreover, we assume that for , and all . Then,
[TABLE]
for any that satisfies
[TABLE]
Proof.
The proof is based on the Sobolev embedding for , and Lemma 3.2.
Since , it holds that . That is, or
[TABLE]
Then it holds
[TABLE]
where such that
[TABLE]
∎
The main result of this section is the following theorem which asserts uniform in time a priori bounds for and in .
Theorem 3.4**.**
Let be a solution of (2.1), and let (1.6) hold. Then for all :
[TABLE]
Proof.
The proof is divided into 4 steps. We first derive a basic estimate, prove bounds for all in step two and three and finally prove the estimate.
Step 1: First estimates.
We set if and otherwise, and so that
[TABLE]
Since we can consider the integrals , instead of , and get moreover
[TABLE]
using the above assumption. Using (2.1), (3.11), partial integration, (3.10), (1.7a), and the fact that , we obtain
[TABLE]
Similarly, we get
[TABLE]
Step 2: Raise of .
We assume that both for some and show that
[TABLE]
where .
Since we are in space dimensions the inequality
[TABLE]
is true and allows us to find , such that
[TABLE]
The first inequality justifies the Gagliardo-Nirenberg inequality
[TABLE]
and due to the second inequality there is a dual exponent of that satisfies the conditions of Lemma 3.3. We take . Applying Young’s inequality, (3.16), Lemma 3.3, and assumption , we get for any
[TABLE]
Since we are in two space dimensions we have the Gagliardo-Nirenberg interpolation inequality
[TABLE]
and we can moreover estimate by employing (3.18), Young’s inequality and
[TABLE]
where and are arbitrary positive numbers.
In order to prove the bound for we insert (3.17) where into (3.12) and fix such that to obtain
[TABLE]
By adding on both sides of (3.20) we get
[TABLE]
We can now insert (3.19), where and into (3.21) and get
[TABLE]
which implies
[TABLE]
and thus
[TABLE]
Hence we have shown that
[TABLE]
An application of Young’s inequality and (3.25) lead to
[TABLE]
Inserting (3.26) into (3.13) yields
[TABLE]
Since (3.17) and (3.19) are also valid for we can repeat the steps in (3.20)–(3.24) for (3.27) to get
[TABLE]
Step 3: bounds for all .
From Lemma 3.1 and the previous step,
[TABLE]
follows from induction. Hence, we have that
[TABLE]
Step 4: bounds.
For the step we employ this technique used in [1] and applied in the case of KS system in [7]. We are in space dimensions and we know from step 3 that there is such that . Therefore we get by Lemma 3.2
[TABLE]
Inserting (3.31) back into (3.12) we get that
[TABLE]
We define the sequence and moreover, we apply the Gagliardo-Nirenberg inequality
[TABLE]
Thus, we get for by (3.33) and Young’s inequality that
[TABLE]
which implies for sufficiently small
[TABLE]
Adding on both sides of (3.32), choosing such that
[TABLE]
in (3.35) for and inserting in (3.32) yield for
[TABLE]
The later implies that
[TABLE]
where
[TABLE]
By Gronwall’s lemma we get from (3.38), that
[TABLE]
Hence
[TABLE]
where }. Note that by (2.4) and (3.30) we can find a constant such that
[TABLE]
From (3.41), (3.42) and we get that
[TABLE]
Furthermore, we get from (3.36) that can be chosen as , where the constant is independent of . This yields
[TABLE]
and hence
[TABLE]
For we note that by and when taking in (3.44) we eventually get
[TABLE]
Using the bounds (3.31), (3.45) as well as the sequence in (3.13) yields for
[TABLE]
By Hölder’s inequality we estimate
[TABLE]
and get
[TABLE]
We add again on both sides of (3.48) and choose such that
[TABLE]
where , and are chosen such that (3.35) is true for . By setting we find a constant such that
[TABLE]
Inserting (3.50) into (3.48) yields
[TABLE]
where
[TABLE]
Using the same argumentation as in (3.40)–(3.45) it follows for that also
[TABLE]
which completes the proof. ∎
4 A priori estimate for
We begin by deriving estimates for , and . Let us recall (1.6) and, hence, by (3.9) and Lemma 3.2 we have
[TABLE]
Lemma 4.1**.**
Assume that is a solution of (2.1). Then for all the following inequalities are fulfilled
[TABLE]
Proof.
We begin by multiplying equation for in (2.1) by and integrating over . We obtain
[TABLE]
Due to (2.1), the bounds from Theorem 2.1 and the no-flux boundary condition for we have
[TABLE]
By Cauchy’s inequality, the bounds from Theorem 2.1 and (4.1) we have
[TABLE]
Analogously we obtain using (1.7a)
[TABLE]
By Cauchy’s inequality, the bounds from Theorem 2.1 and (4.1) we have
[TABLE]
Inserting (4)- (4.9) into (4.4) we obtain
[TABLE]
which implies
[TABLE]
Applying Gronwall’s lemma to (4.11) implies
[TABLE]
Integrating both sides of (4.10) in time and using (4.12) gives
[TABLE]
This completes the proof of the first line of (4.2). The proof of the second line is obtained analogously by multiplying the equation for in (2.1) by and integrating over .
∎
The following lemma relates with and
Lemma 4.2**.**
*Assume that is a solution of (2.1). Then the following inequality holds *
[TABLE]
Proof.
We use the chain rule in (2.1) to obtain
[TABLE]
with
[TABLE]
Further we use equation (4.15) and multiply it by . Employing (4.1), the bounds from Theorem 2.1 and Young’s inequality we obtain
[TABLE]
By integration over we get
[TABLE]
which yields also
[TABLE]
The estimate (4.14) follows by the Gronwall Lemma applied to (4.19). ∎
Our next lemma provides -bounds for , which only depend on , thereby ruling out finite time blowup of these norms.
Lemma 4.3**.**
*Assume that is a solution of (2.1). Then the following inequalities are satisfied *
[TABLE]
as well as
[TABLE]
Proof.
Due to the bounds in Theorem 2.1 and (4.1) we may rewrite the equations for , of (2.1) as
[TABLE]
with
[TABLE]
From equations (4.22), (4.24) and the estimate (4.2) we get for any
[TABLE]
The last term on the right hand side needs to be estimated further. Using Hölder’s inequality, equation (4.14) for and
[TABLE]
we obtain the following estimate for and for all
[TABLE]
Since we consider the case of two space dimensions, the Gagliardo-Nirenberg inequality, and the estimate for any with on imply the following inequalities for any
[TABLE]
Inserting (4.29) and (4.30) into (4.28) we obtain
[TABLE]
By taking the maximum of the constants in the individual estimates of and , we obtain the same constants in (4.31). Inserting (4.31) into (4.26) implies
[TABLE]
Adding the two estimates above yields
[TABLE]
so that
[TABLE]
Choosing
[TABLE]
we obtain
[TABLE]
If we have completed the proof of the lemma. If we may repeat the procedure described above by taking as new initial datum. Since only depends on we can extend the estimate (4.34) to the whole time interval after finitely many steps. This completes the proof of (4.20). The bounds now (4.21) follow by combing (4.20) and (4.29),(4.30). ∎
We are now in position to state the main result of this section, i.e., does not blow up in finite time.
Lemma 4.4**.**
Assume that is a solution of (2.1). Then the following inequality is fulfilled
[TABLE]
Proof.
Follows directly by combining (4.21) with (4.14). ∎
5 Proof of the global existence Theorem 1.1
In this section we show existence and uniqueness of classical solutions of (2.1) based on the local well-posedness results and a priori estimates from the previous sections. We begin by establishing uniform in time bounds for .
Lemma 5.1**.**
Let be a solution of (2.1), and let (1.6) hold. Then for all
[TABLE]
Proof.
Using (2.1) we can rewrite the equations for and as
[TABLE]
where
[TABLE]
By employing (4.14) for , (4.1), and (1.7a) we have
[TABLE]
This allows us to use the maximal parabolic regularity result in , see A.2, for both equations (5.2), (5.3) to obtain
[TABLE]
Thanks to the Sobolev embedding A.4 we get for all a constant such that
[TABLE]
which yields together with (4.14) that
[TABLE]
Using Theorem A.2 again for (5.2), (5.3) together with (5.6) and (5.9), we get
[TABLE]
Moreover, applying A.2 again in equation for in (2.1) we obtain
[TABLE]
Applying the Sobolev embedding A.3 to (5.10), (5.11) for a fixed yields for
[TABLE]
By considering , the equation for in (2.1) together with (5.12) as well as (2.46), (2.43), and (2.44) with (5.12) we get
[TABLE]
Using now the same arguments as in the proof of Theorem 2.2 we obtain
[TABLE]
Estimate (5.1) follows from (5.14) and (5.13). ∎
Finally we can prove the existence and uniqueness of the global classical solutions, as stated in the main Theorem 1.1.
Proof of the main Theorem 1.1.
Due to the equivalence of (1.1) and (2.1) the proof is a consequence of Theorem 2.1, Theorem 2.2 and Lemma 5.1. Indeed we know that there exist (regular) local-in-time solutions due to Theorem 2.1 and Theorem 2.2. If they only existed until some maximal final time , then the a priori bounds in Lemma 5.1 would enable us to use Theorem 2.1 in order to extend the solution beyond and Theorem 2.2 would ensure the regularity of this extension. This shows that there cannot be a finite maximal time of existence. ∎
Appendix A Parabolic theory
We consider the problem
[TABLE]
where , and are real valued functions in . For the initial condition we assume for a fixed that
[TABLE]
and the compatibility condition
[TABLE]
Furthermore, we assume a bounded domain with
[TABLE]
and .
Theorem A.1**.**
If we assume (A.4), (A.5), and moreover
[TABLE]
then the problem (A.1)– (A.3) has a unique solution
[TABLE]
which can be bound by
[TABLE]
Proof.
Follows from [20, Theorem 9.1 p. 342]. ∎
Theorem A.2**.**
Assume that,
[TABLE]
and that (A.4), (A.5) are satisfied. Then the problem (A.1)– (A.3) has a unique solution
[TABLE]
Proof.
Follows from [20, Theorem 5.3 p. 320]. ∎
Theorem A.3**.**
Assume that satisfies a weak cone condition and . If , then
[TABLE]
for all
Proof.
Follows from [20, Lemma 3.3 p. 80]. ∎
Theorem A.4**.**
Assume that satisfies a weak cone condition and . If then
[TABLE]
for all
Proof.
Follows from [20, Lemma 3.3 p. 80]∎
Appendix B Proof of Lemma 3.2
Proof.
Let be the sectorial operator defined by over the domain
[TABLE]
We will be needing the following embedding properties of the domains of fractional powers of the operators :
[TABLE]
and refer to [16, 14] and the references therein for further details.
We consider the representation formula for the solution of the equation for in (1.1)
[TABLE]
To deduce a control over we consider the two components separately.
For .
- [TABLE]
- •
If , then and have the same regularity, see [16], and hence
[TABLE]
- •
If , then
[TABLE]
For .
We consider the analytic semigroup , and its properties , for all , , and for some , and , for all and , see also [16].
Accordingly we can write the following - estimate, for
[TABLE]
or by setting ,
[TABLE]
for some
Applying now (B.3) to , it reads
[TABLE]
where the integral is finite, and in effect , as long as
[TABLE]
To this end we distinguish the following sub-cases:
- •
If then there exist such that (B.4) reads
[TABLE]
By the embedding now (B.1a) of the domain of the operator we deduce that
[TABLE]
which along with the bounds (B.2a) and(B.2b) of leads to (3.2).
- •
If , the condition (B.4) recasts into
[TABLE]
which is satisfied by some for every , and thus (3.2) follows for .
- •
If there by (B.4) and since there exist such that
[TABLE]
such that the embedding (B.1b) is valid for , and reads
[TABLE]
from which (3.2) yields for .
∎
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