Abstract
A reaction–diffusion system with mass conservation modeling cell polarity is considered. A range of the parameters is found where the ω‐limit set of the solution is spatially homogeneous, containing constant stationary solution as well as possible nontrivial spatially homogeneous orbit.
Keywords: Chemical reaction–diffusion system, Fix–Caginalp equation, Global dynamics, Total mass conservation system
1. INTRODUCTION
The present work studies the following mass‐conserved reaction–diffusion system:
| (1) |
where Ω ⊂ RN is a bounded domain with smooth boundary ∂Ω, ν is the outer unit normal vector, D, τ are positive constants, and , (u0, v0) ≢ 0, are the nonnegative, nontrivial initial values, taken to be sufficiently smooth.
Given the sufficiently smooth nonlinearity f = f(u, v), standard theory allows the existence of a unique local‐in‐time classical solution to (1), as it can be seen in other studies, 1 , 2 , 3 , 4 , 5 , 6 , 7 we also refer the interested reader to Pierre's monograph 8 for a more complete presentation of the history of such systems. The solution (u, v) has the following total mass conservation property:
| (2) |
The class of models that we are going to study, were proposed in Otsuji et al. 9 to describe cell polarity. The proposed mechanism shall separate different species inside the cell according to their diffusion coefficients, that is, slow and fast diffusions shall localize the species near the membrane and in the cytosol, respectively. Three kinds of molecules are interacting. Each one of them has two phases, active and inactive, which are characterized by slow and fast diffusions, respectively. The model problem (1) focuses on these two phases of a single species, ignoring the interactions between the other species.
The model shall allow Turing pattern, 10 which is the appearance of spatially inhomogeneous stable stationary states induced by diffusion. In their study, Otsuji et al. 9 suggest the following three models for this purpose:
| (3) |
where a, b, α, α1, and α2 are positive constants.
In their study, Mori et al. 11 suggested
| (4) |
where b1, γ, δ, k0, k are positive constants (see Mori et al. 11 ). System (1) with the above reaction term will be referred in the following as the fourth model and is the main topic of study in this paper. The results of this paper can be directly applied to more general reaction terms of the type
with m > 2.
The main characteristics of the system are the following:
- Quasi positivity for provides positivity for (u, v):
Therefore, the solution is nonnegative, provided that nonnegative initial data are given. - Mass conservative reaction–diffusion system:
(5)
For the global existence and uniform‐in‐time bounds of nonnegative classical solutions to this system in all space dimension, we refer the interested reader to Theorem 1.1 in Fellner et al. 12 Actually, Fellner et al. 12 consider an even more general class of systems where the reaction terms might have a (slightly super‐) quadratic growth.
In this paper, we give an answer to the natural question which rises next about the asymptotic behavior of the solution and whether it converges to the equilibrium. Namely, is the solution to this fourth model (4) asymptotically spatially homogeneous or do we have a Turing paradigm (stable nonconstant stationary state under the local enhancement and long‐range inhibition)?
This work is organized as follows: in Section 2, we summarize what has been done in the previous relevant models. In Section 3, we present and prove some of the key features of the fourth model, and we state our main Theorem 5. In Section 4, we prove our main result.
2. REVIEW OF THE PREVIOUS WORK
In the first and the second models, the stationary state is described by the elliptic eigenvalue problem with nonlocal term, with the eigenvalue associated with the total mass that is conserved in time. The stationary state has a variational functional J, while there is a Lyapunov functional L(u, v) for the nonstationary problem. This Lyapunov functional is reduced to the stationary variational functional, if the total mass of (u, v) is prescribed. This remarkable structure, called semi‐unfolding minimality, induces dynamical stability of the local minimizer of J. We will briefly revisit what has already been done for these models.
2.1. First model
If we let
the first model takes the form
| (6) |
Henceforth, Ci, denote positive constants independent of t. Since this h = h(u) is a smooth function of u ∈ R satisfying
| (7) |
if , for simplicity, from here on, we denote , then problem (6) admits a unique classical solution uniformly bounded, and global‐in‐time (Theorem 1.1 in Fellner et al. 12 ). Therefore, the orbit is compact in X, and hence, the ω‐limit set defined by
| (8) |
is nonempty, compact, and connected.
With
the system (6) transforms into
| (9) |
for . In the stationary state, we have
and therefore, this w is a constant denoted by . is prescribed by the initial value using (5):
| (10) |
We thus obtain
| (11) |
for
The set of stationary solutions to (6), denoted by Eλ, is thus defined in accordance with λ in (5), that is, (u, v) ∈ Eλ if and only if u = u(x) is a solution to (11) for , and , where is a constant defined by
By exploiting the above observations, Morita and Ogawa 7 and Morita 5 studied the spectral analysis of the stationary solution. The purpose of Latos and Suzuki 3 was to study the previous results from the point of view of global dynamics. In fact, with the use of the Lyapunov functional, they showed the existence of a global‐in‐time solution to (6) in with compact orbit. The following theorem is proven by the existence of the Lyapunov functional to (6):
Theorem 1
( 3 ) If , it holds that ω(u0, v0) ⊂ Eλ.
Remark 1
From the result 12 established later, the restriction on the space dimension , in Latos and Suzuki, 3 is excluded for the compactness of . This extension is also valid to the second model described below.
The problem (11) has a variational structure. Thus, u = u(x) is a solution if and only if , where
| (12) |
for Q′(u) = q(u). Then we obtain the dynamical stability of local minimizers of this functional.
Theorem 2
( 3 ) Let and h = h(u) to be a real‐analytic function in u ∈ R. Given λ > 0, let u∗ = u∗(x) ∈ H1(Ω) be a local minimizer of in (12), and put
Then this stationary solution (u∗, w∗) to (9), for (u0, w0) satisfying (10), is dynamically stable in H1(Ω) × L2(Ω). Thus, any ε > 0 admits δ > 0 such that if (u0, w0) ∈ H1(Ω) × L2(Ω) satisfies
then it holds that
for the solution to (9).
2.2. Second model
By letting
the model takes the form
| (13) |
Since h = h(z) is a smooth function of z ∈ R satisfying
| (14) |
if with , the problem (13) admits a uniformly bounded unique classical solution , global‐in‐time.
With
and
the system (13) transforms into
| (15) |
where . The orbit to (15) is thus compact in , and hence, the ω‐limit set defined by
is nonempty, compact, and connected.
First, total mass conservation arises in the form of
| (16) |
Second, there is a Lyapunov functional defined by
| (17) |
satisfying
| (18) |
Third, in the stationary state of (15), the component w = w(x) is spatially homogeneous similarly, denoted by . Hence, it holds that
| (19) |
by (16). Plugging (19) into the first equation of (15), we see that the stationary state of (9) is reduced to a single equation concerning z = z(x), that is,
| (20) |
This problem is the Euler–Lagrange equation corresponding to the variational functional
| (21) |
Thus, the set of stationary solutions is associated with λ in (16), denoted by Eλ. We say that , if z ∈ H1(Ω) solves (20) and is defined by (19).
Then we obtain the following results similarly.
Theorem 3
( 4 ) If , it holds that ω(z0, w0) ⊂ Eλ.
Theorem 4
( 4 ) Let and h = h(z) to be a real‐analytic function in z ∈ R. Given λ > 0, let z ∗ =z∗(x) ∈ H1(Ω) be a local minimizer of in (21), and put
Then the stationary solution (z∗, w∗) to (15) is dynamically stable in H1(Ω) × L2(Ω). Thus, any ε > 0 admits δ > 0 such that if (z0, w0) ∈ H1(Ω) × L2(Ω) satisfies
then it holds that
for the solution to (15).
Remark 2
We note the following facts. First, the local minimizer in Theorems 2 and 4 may be degenerate. Second, there is a correspondence between the Morse index of the linearized operator around the stationary solution (u∗, z∗) or (z∗, w∗) and that of u∗ or z∗ as a critical point of the variational functional Jλ. This property is called the spectral comparison, and a result in this direction is obtained in Latos et al. 4 for the second model.
3. THE MODEL AND THE RESULT
We skip the third model
because it does not satisfy the quasi‐positivity. Hence in this work we consider the fourth model, (1) for
| (22) |
where δ > 0. One can consider the more general reaction term used in Holmes and Edelstein‐Keshet, 13
in the argument below.
Putting
| (23) |
we obtain f(u, v) = va(u) − δu and
| (24) |
with
Therefore, this model is reduced to
| (25) |
The nonlinearity a(u) in (23) is not so wild. If it is a contact denoted by a > 0, the system (25) is linear, but a special form of the first model. Hence the stationary state is reduced to
| (26) |
for and
| (27) |
There is a unique spatially homogeneous solution to (26), that is,
The linearized operator around this u∗ is given by
Using the eigenvalues and eigenfunctions of −Δ under the Neumann boundary condition, we see that this L is nondegenerate always. Thus there is no Turing pattern in this case, that is, in the case when a(u) is a constant.
We can actually confirm the linearized stability of this spatially homogeneous stationary solution (u∗, v∗) to (25) for v∗ satisfying λ = u∗ + τv∗. In fact, this linearized equation takes the form
Using the eigenvalues and eigenfunctions of −Δ under the Neumann boundary condition again, we see that all the eigenvalues of the linearized operator are real and negative. Hence, (u∗, v∗) is asymptotically stable. In spite of these simple profiles of the solution for the case that a(u) = a > 0 is a constant, the global dynamics of (25) for (23) is not subject to a Lyapunov functional.
To confirm this property, we take a look at the stationary problem to (25):
| (28) |
with
| (29) |
By the argument in the previous section, the function in (28) is a constant denoted by , which is determined by (29):
Therefore, the system (28) is reduced to
| (30) |
We see that (30) admits no variational functional unless a(u) is a constant as in (26). Therefore, no Lyapunov functional is expected in the nonstationary problem (25).
The first observation is the existence of a unique spatially homogeneous stationary solution to (25).
Proposition 1
For every λ > 0, let Gλ be the set of solutions to
(31) for f = f(u, v) defined by (22). Then Gλ is composed of at least one and at most three elements.
Equality (31) is equivalent to
(32) where
Thus, u∗ is a zero of a qubic polynomial, and the number of Gλ is at most three. Since
on the other hand, there is u∗ ∈ (0, λ) satisfying (32). Hence, we obtain the result. □
Remark 3
There is a case that Gλ is composed of three elements. In the case described in Morita and Shinjo, 6 two of them are stable, and the other is unstable, as stationary solutions to the ordinary differential equation (50) given below.
Put in Proposition 1. The linearized operator around the solution u∗ = u∗(λ) to (30) is given by
| (33) |
We examine the degeneracy of this L in accordance with the eigenvalues and the eigenfunctions ϕj in for . Where ϕ is the eigenfunction of −Δ with Neumann boundary conditions.
First, for , it holds that and this condition is equivalent to
although the possible bifurcated object is spatially homogeneous. Second, for μj, j ≥ 2, it holds that , and the above degeneracy condition is reduced to
Then, there is a chance of a spatially inhomogeneous bifurcation.
From the above analysis, our main target is revealed. We want to prove that when D ≫ 1 is the case, in relation to λ, the solution (u, v) is asymptotically spatially homogeneous. The region that this holds cannot be the entire one because of the possible spatially inhomogeneous bifurcation of stationary states suggested above. Our result in the paper is the following theorem valid under the technical assumption
| (34) |
Recall that μ2 > 0 is the second eigenvalue of −Δ under the Neumann boundary condition and a1 = b(γ + k0) is the upper bound of a(u) in (24). Note that is not assumed in the following theorem and inequality (34) above and inequality (35) below are consistent if δ is sufficiently large.
Theorem 5
Assume (34). There exists a constant such that
(35) implies
(36) for the solution to (25) for (23), where
The ω‐limit set ω(u0, v0) defined by (8) satisfies
(37) for some (u∗, v∗) ∈ Gλ and
(38)
So far, spatially homogenization in reaction–diffusion system under the Neumann boundary condition with fast diffusion has been studied in several contexts. In Conway et al., 14 this property is shown under the presence of the invariant region. Even without this property, the local theory 15 assures that spatially homogeneous compact attractor is also an attractor of the corresponding spatially inhomogeneous system. Both results are significantly based on the theory of dynamical systems. In these works, the exponential convergence rate to the spatially homogeneous part is assured, which our method did not reach. Theorem 5, however, assures that any solution exhibits asymptotic spatial homogeneity under the cost of large δ in this fourth model.
Since wave‐propagation phenomena are reported in numerical simulations, 11 , 13 we can suspect some dynamics inside ω(u0, v0) for the general case. In accordance with the conclusion (37), there is a possibility of ω(u0, v0) ≠ {(u∗(λ), v∗(λ))}, as this ω‐limit set contains nontrivial spatially homogeneous orbit of (25). See the final remark of the present paper. Concluding the present section, we refer to Henry 16 for fundamental concepts on the dynamical systems, ω‐limit sets and LaSalle's principle used below.
4. PROOF OF THEOREM 5
Using , we transform (25) into
| (39) |
where
Lemma 6
The solution (u, w) to (39) satisfies the estimate:
(40) where (· , ·) is the usual inner product in L2(Ω) and
Recalling
we obtain
(41) by (39). By
it holds that
where (− Δ)−1f = z denotes
for f satisfying
Hence, there arises
(− Δ)−1 is a bounded self‐adjoint operator in , and therefore, it holds that
Then we obtain (40) because of the positivity of (− Δ)−1. □
Since
we get
| (42) |
by (40). Here, a result on the boundedness of v = w − Du follows from the second equation of (25).
In the following lemma, C4 is a constant independent of v0. Actually, we use the semigroup estimate to bound ‖v(· , t)‖2 above by ‖v0‖1 + ‖u0‖1, where the conditions t ≥ 1 and N ≤ 3 are required.
Lemma 7
If N ≤ 3, then
(43)
By
we argue as in Latos et al., 17 recalling a0 = bγ > 0 in (24). First, we apply the comparison theorem to deduce
(44) where Δ is provided with the homogeneous Neumann boundary condition.
Second, the semigroup estimate 18
is applied to the right‐hand side of (44). It follows that
provided that t ≥ 1 and N ≤ 3. □
Recall a1 = b(γ + k0) in (24).
Lemma 8
If
(45) it holds that
(46)
In this proof, we use the notations
Then it follows that
We begin by integrating over Ω the first equation of (25) to get
and then multiplying with ,
Next, we test the first equation of (25) with u:
Subtracting the last two relations above, we calculate
(47) Moreover, we have
or
which implies
Here, the Poincaré–Wirtinger inequality implies
(48) Therefore, (47) with the help of (48) blue,
by (24), and hence,
by a1 = b(γ + k0).
Thus, we conclude
Inequality (45) arises if we have (35) for sufficiently large. Then we obtain the following lemma, recalling (8) and (38).
Lemma 9
Assume (34) and inequality (35) for σ > 0 as above. Then it holds that (36) and ω(u0, v0) ⊂ Fλ.
Then (34) blue
and hence,
(49) From the parabolic regularity and uniformly boundedness of , the mapping is uniformly continuous, and therefore, we have
by (49). Then, again using the parabolic regularity, we get
Since (49) implies also
by (46), it holds that
similarly. We thus obtain (36).
Given , finally, we have tk → ∞ such that
Then it holds that
and hence . □
Now we study the spatially homogeneous part of (25).
Lemma 10
Take and let be the solution to (25) for :
(50) Put and define Gλ as in Proposition 1. Then it holds that
(51)
First, we have
and hence,
(52) Then (50) is reduced to the single system,
(53) by (22) and (23). This system is a spatially homogeneous part of (25), and therefore, there is a global‐in‐time uniformly bounded orbit in .
Finding G(U) such that
we obtain
This −G(U) is a Lyapunov functional, and therefore, there is
from the compactness of .
The ω‐limit set for (53) is defined by
It is invariant under the flow defined by (53). Hence, given , it holds that
for the solution to (53) with the initial value replaced by . It also holds that
and hence, G′(U(t)) ≡ 0 (LaSalle's principle).
This property means that (U(t), V(t)) with V(t) defined by (52) is a spatially homogeneous solution in Proposition 1, which implies
Thus we obtain , and hence, again by (52). □
Finally, we combine all the above results to prove our main theorem:
Proof of Theorem 5
It suffices to show the existence of (u∗, v∗) ∈ Gλ such that (u∗, v∗) ∈ ω(u0, v0).
Given , let (U, V) be the solution to (25) with the initial value (u0, v0) replaced by . This solution is spatially homogeneous as in (50), and hence, it follows that (51). Then we obtain from the invariance of the ω‐limit set under the flow of (25). Then the result follows. □
Remark 4
If is the case, there arises {(U(t), V(t))} ⊂ ω(u0, v0) for and defined by (53) and (52).
CONFLICT OF INTEREST
This work does not have any conflicts of interest.
ACKNOWLEDGEMENTS
The authors thank the referees for valuable comments and suggestions. The first author is supported by the Austrian Science Fund (FWF): F73 SFB LIPID HYDROLYSIS. The second author is partially supported by JSPS Grants‐in‐Aid for Scientific Research (grant numbers 19H01799 and 16H06576) and JSPS Core‐to‐Core Program A, Advanced Research Network.
Latos E, Suzuki T. Mass conservative reaction–diffusion systems describing cell polarity. Math Meth Appl Sci. 2021;44:5974–5988. 10.1002/mma.7162
REFERENCES
- 1. Shin‐Ichiro E, Tzeng S‐Y. Spike solutions for a mass conservation reaction–diffusion system. Discret Contin Dyn Syst ‐ A. 2020;40:3357‐3374. [Google Scholar]
- 2. Edelstein‐Keshet L, Holmes WR, Zajac M. From Simple to Detailed Models for Cell Polarization, Vol. 20130003. Dutot, M; 2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Latos E, Suzuki T. Global dynamics of a reaction–diffusion system with mass conservation. J Math Anal Appl. 2014;411:107‐118. [Google Scholar]
- 4. Latos E, Morita Y, Suzuki T. Global dynamics and spectrum comparison of a reaction–diffusion system with mass conservation. J Dyn Diff Equat. 2018;30:828‐844. [Google Scholar]
- 5. Morita Y. Spectrum comparison for a conserved reaction–diffusion system with a variational property. J Appl Anal Comp. 2012;2:57‐71. [Google Scholar]
- 6. Morita Y, Shinjo N. Reaction–diffusion models with a conservation law and pattern formations. Josai Math Monogr. 2016;9:177‐190. [Google Scholar]
- 7. Morita Y, Ogawa T. Stability and bifurcation of nonconstant solutions to a reaction–diffusion system with conservation of mass. Nonlinearity. 2010;23:1387‐1411. [Google Scholar]
- 8. Pierre M. Global existence in reaction–diffusion systems with control of mass: a survey, Milan. J Math. 2010;78:417‐455. [Google Scholar]
- 9. Otsuji M, Ishihara S, Co C, Kaibuchi K, Mochizuki A, Kuroda S. A mass conserved reaction–diffusion system captures properties of cell polarity. PLoS Comput Biol. 2007;e108:3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Turing AM. The chemical basis of morphogenesis. Philos Trans R Soc Lond B. 1952;237:37‐72. [Google Scholar]
- 11. Mori Y, Jilkine A, Edelstein‐Keshet L. Wave‐pinning and cell polarity from a bistable reaction–diffusion system. Biophys J. 2008;94:3684‐3697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Fellner K, Morgan J, Tang BQ. Uniform‐in‐time bounds for quadratic reaction–diffusion systems with mass dissipation in higher dimensions. DCDS ‐ S, 10.3934/dcdss.2020334; 2018. [DOI]
- 13. Holmes WR, Edelstein‐Keshet L. Analysis of minimal Rho‐GTP phase circuit regulating cell shape. Phys Biol. 2016;13:046001. [DOI] [PubMed] [Google Scholar]
- 14. Conway E, Hoff D, Smoller J. Large time behavior of solutions of systems of nonlinear reaction–diffusion equations. SIAM J Appl Math. 1978;35:1‐16. [Google Scholar]
- 15. Hale J. Large diffusivity and asymptotic behavior in parabolic systems. J Diff Equat. 1986;118:455‐466. [Google Scholar]
- 16. Henry D. Geometric Theory of Semilinear Parabolic Equations, Lecture Notes in Math 840. Berlin: Springer Verlag; 1981. [Google Scholar]
- 17. Latos E, Suzuki T, Yamada Y. Transient and asymptotic dynamics of a prey–predator system with diffusion. Math Meth Appl Sci. 2012;35:1101‐1109. [Google Scholar]
- 18. Rothe F. Global Solutions of Reaction–Diffusion Systems, Lecture Notes in Math, Vol. 1072. Berlin: Springer Verlag; 1984. [Google Scholar]
