In this article, we study a hyperbolic equation of Cahn–Hilliard with a proliferation term and Dirichlet boundary conditions. In particular, we prove the existence and uniqueness of the solution, and also the existence of the global attractor.
The global attractor is a smallest compact set, invariant by an evolution operator called semigroup associated to an equation or a system, which attracts all bounded sets of initial data when time becomes infinity.
The parabolic Cahn–Hilliard equation is on the following form
where u is the order parameter, f is the derivative of a double-well potential F or the local free energy and g is the proliferation term, has been proposed in [3,6] as a model for the growth of cancerous tumors and the biological entities.
Here g can be the linear function , , in that case, (1.1) is known as the Cahn–Hilliard Oono equation and accounts for long-ranged interactions in the phase equation and in the phase separation process [8].
A second possibility is the nonlinear function ; is the proliferation rate. In that case, (1.1) has applications in biology and precisely, models wound healing and tumour growth (in one space dimension) and the clustering of brain tumor cells for other quadratic functions with chemical applications and for other polynomials with biological applications [13].
A third possibility is the nonlinear function , , this model describes the tumorous growth uncontrolled of abnormal cells, what often results by a cancer (see [1]); in this case, α and β are two constants who represent the coefficient of death and of the growth, respectively. Note that α and β parameters can also depend of the spatial variable and the time.
A fourth possibility is the function , , , . This possibility was proposed in [2] in view of applications to image inpainting, h is a given image and D is the inpainting (i.e..,damaged) region, χ denotes the indicator function.
The equation (1.1) has been studied in the references [2,3,6,8,10] and [9], in which authors have proved the existence and the uniqueness of the solution and the existence of the finite-dimensional attractors.
Some studies have been done in the same way, but with only a double-well potential acting in a phase transition phenomenon concerned by a parabolic system or hyperbolic or even parabolic-hyperbolic system (see [4,5,7–9,11,12]).
In this paper, we are going to study the model of Cahn–Hilliard type for the growth of cancerous tumors and other biological applications expressed by the following hyperbolic pertubed Cahn–Hilliard equation with a proliferation term
where the proliferation term is a polynomial of any degree, in a smooth and bounded domain (). We prove the existence and uniqueness of the solution, and also the existence of the global attractor. this work is structured as follows.
We firstly have setting of the problem followed by a priori estimates which allows us to show the existence and uniqueness of the solution of problem, and to assert the dissipativity of the semigroup associated to the problem. And we finally prove the existence of the global attractor, to finish with a conclusion.
Setting of the problem
We consider the following Hyperbolic pertubed equation of Cahn–Hilliard with a proliferation term
in a bounded and regular domain ( or 3) with boundary .
Here is a relaxation parameter, the order parameter, f is a regular potential and g is a proliferation term.
Here, f and g satisfies the following assumptions:
In this article, we assume , , and , , . We suppose that .
We denote by the usual -scalar product with associated norm , and we set , where and denotes the minus Laplace operator with Dirichlet boundary conditions. More generally, denotes the norm in the Banach space X.
The same letter c, and denote constants which may vary from line to line, or even in a same line. Similary, the same letter Q denotes monotone increasing functions which may vary from line to line, or even in a same line.
A priori estimates
We multiply (2.1) by and integrate over Ω. We obtain
which yields
We note that
Besides with continuous injection, so that
Inserting (3.3) into (3.1), we obtain
Owing to Young inequality, we have
Thus
We multiply (2.1) by and integrate over Ω, we obtain
Proceeding as in (3.3), we have
Choosing in (3.5) δ such that , (3.7) yields
Summing (3.6) and (3.9), whère , such that we have
where
satisfies
and
We find from (3.10) and Gronwall’s lemma the dissipative estimate
We multiply (2.1) by and integrate over Ω, we obtain
which yields
Let us note that and is continuously embedded in , then
Substituting (3.15) in (3.14), we have
in particular
We set
we deduce from (3.17) an inequation of the form
Let z be the solution to the ordinary differential equation
It follows from the comparison principle, that there exists a time belonging to, say such that
hence
We multiply (2.1) by and integrate over Ω, we obtain
which gives, owing to (3.15) and (3.19)
Thus
Summing (3.16) and (3.21), where and , we have
where
We have
Integrating (3.22) from 0 to t and owing to (3.23), we obtain, considering
we deduce that
and
We now differentiate (2.1) with respect to time and rewrite the resulting equation as
where .
We multiply (3.27) by and integrate over Ω, we have
Besides , then, oving (2.7), we have
We note that, since with continuous injection,
Inserting (3.29) and (3.30) into (3.28), we find
where
Applying Gronwall’s lemma to (3.31) and owing to (3.25) and (3.26), we obtain
Thus
and
Multiplying (3.27) by and integrate over Ω, we obtain
Thanks to (3.29) and (3.30), we have
and using the Gronwall’s lemma, Owing to (3.33) and (3.34), we find
which yields, for all
and
We now rewrite, for fixed, (2.1) in the form
where
Owing to (3.38) and (3.39), we obtain
We multiply (3.40) by and integrate over Ω, we obtain
Inserting (3.15) into (3.19) and owing to (3.42), we have
Summing ε (3.39) and (3.44), we obtain
then
Finaly, we deduce from (3.19) and (3.45) that
We multiply (2.1) by u and integrate over Ω, we find
which implies, thanks to (3.15) and (3.19)
Summing (3.16) and (3.48) where such that , we get
with
There also exists such that
We deduce, owing to (3.49) and (3.50), that
and it follows from (3.50) and (3.51) that
Therefore, the estimate (3.52) allows to affirm that there exists such that
Actually, repeating the above estimates, starting from instead of , we see that (3.53) holds for , i.e. we have the smoothing property
According to the smoothing property, it is not difficult to prove that we have, owing to (3.13), (3.46) and (3.54), the dissipative following estimate
Existence and uniqueness of solutions
We first have the following theorem
(Existence).
We assume that. Then, the problem (
2.1
)–(
2.3
) possesses at least one solution u such that,and,.
The proof of existence is based on the priori estimates and a standard Galerkin scheme.
(Uniqueness).
We assume that. Then, the system (
2.1
)–(
2.3
) possesses a unique solution u such that,and,.
Let now and be two solutions of (2.1)–(2.3), with initial datas and . We set , and , then u verifies the following problem
We multiply (4.1) by and integrate over Ω. We obtain
We again note that
Besides
which gives
which implies
There exists such that , .
Thus, we find
which implies
Noting that , then , there exists such that and , then we have
Remark that with continuous injection and thanks to (3.19), we find
Hence
We remark that
Besides
which implies
There exists such that , .
Applying Young’s inequality, we obtain
which yields
Then we get
which implies
Noting that with continuous injection and while using (3.46) and poincaré inequality, we have
Inserting (4.8) and (4.10) into (4.4), we find
Where Q is monotone increasing with respect to both arguments. We deduce from (4.11) and Gronwall’s lemma that
hence the uniqueness, as well as the continuous depending with respect to the initial data. □
(Regularity).
We assume,. Then the problem (
2.1
)–(
2.3
) possesses a unique solution u such that
We multiply (2.1) by and intregrate over Ω, we obtain
Note that , and with continuous injection, and owing to the fact that , and grace (3.16), then
and
Inserting (4.14) and (4.15) into (4.13), we find
We now multiply (2.1) by and integrate over Ω, we have
which implies
Thanks to (3.15) and (3.46), we find
Summing (4.16) and (4.17), we obtain
where
We also have
Thus, we deduce thanks to (4.18) and (4.19) the following estimate
Applying the Gronwall’s lemma and owing to (4.19), we have
Therefore, we deduce that
Multiply (2.1) by and integrate over Ω. We find, owing to (3.15)
Intgrating from 0 to t, and owing to (4.21), we find
Finally,
From there the theorem. □
We have, thanks to the Theorems 4.1 and 4.3, two respective phase spaces
and
and we have two energy norms for the problem (2.1)–(2.3), in those phase spaces
We then define the continuous semigroup
for , where u is the unique solution of problem (2.1)–(2.3) with initial data .
For, the semigroup of operators,associated to the problem (
2.1
)–(
2.3
) is dissipative in.
Taking we have, thanks to estimate (3.55) and for all , the estimate below
which concludes the proof. □
We denote
the bounded absorbing set for in phase space , where is large enough.
Dissipativity and regularity of the semigroup
The dissipativity and regularity of the sermigroup associated to the problem (2.1)–(2.3), mean that the semigroup associated to the system (2.1)–(2.3), possesses a bounded absorbing set in .
We assumeand that u is the solution of problem (
2.1
)–(
2.3
) such that. Then, the solution u satisfies the following estimatewhere β and C are the positive constants and Q is a monotonic function.
(4.18) can be written in the form
Applying the Gronwall’s lemma to (5.2), we obtain
where β and C are the positive constants and Q is the monotonic function. □
For, the semigroup of operators,associated to the system (
2.1
)–(
2.3
) is dissipative in.
The corrollary is a straightforward consequence of Theorem 5.1.
We denote
the bounded absorbing set for in phase space , where is large enough.
Existence of global attractor
For , we have already proved the dissipativity and régularity of the semigroup associated to the problem (2.1)–(2.3). It remains to split the semigroup as the sum of two continuous operators, and such that the solution u with initial condition belonging to , can be written as follows with
and
where is the solving operator to the linear hyperbolic problem
is the solving operator to the nonlinear hyperbolic problem
and to show that the operator uniformly converges to 0 over all bounded subset of and the operator is regularizing on , when the time t tends to the infinity.
We multiply (6.1) by v and integrate over Ω, we obtain
We multiply (6.1) by and integrate over Ω, we have
Summing (6.7) and (6.8) where and , we find
with
Noting that, we have also
We deduce, owing to (6.10) that (6.9) can be written as
Applying the Gronwall’s lemma to (6.11), owing to (6.10) we obtain
Thus,
where Q is the monotonic function, and uniformly converges to 0 over all bounded subset of , when the time t tends to the infinity.
It remains to prove that the operator is regularizing on , when the time t tends to the infinity.
Frist, we need the uniform estimate of that we shall use in the continuation.
We multiply (6.4) by and integrate over Ω. We find, thanks to (3.15) and (3.19)
Integrating (6.13) over 0 to t, we obtain
hence
We multiply (6.4) by and integrate over Ω, we obtain
Noting that
and using the continuous embeding of in and also (6.12) and (6.14), owing to the fact that , we find
Following (4.15), we have
Inserting (6.16) and (6.17) into (6.15) in particular, we have
where β and C are the positive constants and Q is a monotonic function.
Integrating (6.18) over 0 to t, we obtain
which implies
The estimate (6.19) allows to assert that the operator is regularizing in .
We can then deduce the following result.
For, The semigrouppossesses the global attractorwho is bounded inand compact in.
References
1.
A.C.Aristotelous, O.A.Karakashian and S.M.Wise, Adaptive, second order in time, primitive-variable discontinuous Galerkin schemes for a Cahn–Hilliard equation with a mass source, IMA J. Numer. Anal35 (2015), 1167–1198. doi:10.1093/imanum/dru035.
2.
L.Cherfils, H.Fakih and A.Miranville, A complexe version of the Cahn–Hilliard equation for grasyscale image inpainting, 2015, HAL Id: hal-0120061, https://hal.archives-ouvertes.fr/hal-01200619.
3.
L.Cherfils, A.Miranville and S.Zelik, One a generalized Cahn–Hilliard equation with biological applications, Discrete and Continuous Dynamical Systems Series B19(7) (2014), 2013–2026. doi:10.3934/dcdsb.2014.19.2013.
4.
M.Evrard Isseret Goyaud, F.Moukamba, D.Moukoko and F.D.R.Langa, Existence of global attractor for a hyperbolic phase field system of type with polynomial growth potential, Britisk Journal of Mathematical and Computer Science18(16) (2016), 1–18, Article no. BJMCS. 28607.
5.
M.Evrard Isseret Goyaud, D.Moukoko and F.Moukamba, Existence and uniqueness of solution for Caginalp hyperbolic phase field system with polynomial growth potential, International Mathematical Forum10(10) (2015), 477–486, www.m-hikari.com, https://dx-doi-org.web.bisu.edu.cn/10.12988/imf.2015.575.
6.
H.Fakih, A Cahn–Hilliard equation with a proliferation term for biological and chemical applications, Asymptotic94 (2015), 71–104. doi:10.3233/ASY-151306.
7.
I.Haydi, Comportement asymptotique des modèles en séparation de phases, PhD thesis, Université de Poitiers, 2013.
8.
E.Khain and L.M.Sander, A generalized Cahn–Hilliard equation for biological applications, Phys. Rev. E77 (2008), 051129. doi:10.1103/PhysRevE.77.051129.
9.
A.Miranville, Asymptotic behaviour of a generalized Cahn–Hilliard–Oono equation, J. Appl. Anal. com.1 (2011), 523–536.
10.
A.Miranville, Asymptotic behaviour of a generalized Cahn–Hilliard equation with a proliferation term, Appl. Anal92(6) (2013), 1308–1321. doi:10.1080/00036811.2012.671301.
11.
D.Moukoko, F.Moukamba and F.D.R.Langa, Attractor for Caginalp hyperbolic field-phase system with singular potential, Journal of Mathematics7(3) (2015).
12.
A.C.Nimi and D.Moukoko, Global attractor and exponential attractor of a parabolic system of Cahn–Hilliard with a proliferation term, AIMS Mathematics5(2) (2019), 1383–1399. doi:10.3934/math.2020095.
13.
Y.Oono and S.Puri, Computationally efficient modeling of ordering of quenched phases, Phys. Rev. Lett.58 (1987), 836–839. doi:10.1103/PhysRevLett.58.836.