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. 2021 Jan 18;44(7):5974–5988. doi: 10.1002/mma.7162

Mass conservative reaction–diffusion systems describing cell polarity

Evangelos Latos 1,✉, Takashi Suzuki 2
PMCID: PMC8048841  PMID: 33888921

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:

ut=DΔu+f(u,v),τvt=Δv−f(u,v),inΩ×(0,T),∂∂ν(u,v)=0,on∂Ω×(0,T),(u,v)t=0=(u0(x),v0(x)),inΩ, (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)=(u0(x),v0(x))≥0, (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 (u,v)=(u(·,t),v(·,t)) 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:

ddt∫Ωu+τvdx=0. (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:

f(u,v)=−auu2+b+v,f(u,v)=−α1u+vα2(u+v)+12−v,f(u,v)=α1(u+v)[(αu+v)(u+v)−α2], (3)

where a, b, α, α1, and α2 are positive constants.

In their study, Mori et al. 11 suggested

f(u,v)=b1vγu2k2+u2+k0−δu, (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

f(u,v)=b1vγumk2+um+k0−δu

with m > 2.

The main characteristics of the system are the following:

  • Quasi positivity for f(u,v)−f(u,v) provides positivity for (u, v):
    f=f(u,v):ℝ‾+2→ℝ,locally Lipschitz continuous withf(0,v)≥0≥f(u,0).
    Therefore, the solution is nonnegative, provided that nonnegative initial data are given.
  • Mass conservative reaction–diffusion system: ddt∫Ωu+τvdx=0⇒
    1|Ω|∫Ωu+τvdx=λ=1|Ω|∫Ωu0+τv0dx. (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

f(u,v)=h(u)+kv,h(u)=−auu2+b,k=1,

the first model takes the form

ut=DΔu+h(u)+kv,τvt=Δv−h(u)−kv,inΩ×(0,T),∂∂ν(u,v)=0,on∂Ω×(0,T),(u,v)t=0=(u0(x),v0(x)),inΩ. (6)

Henceforth, Ci, i=1,2,…,9 denote positive constants independent of t. Since this h = h(u) is a smooth function of u ∈ R satisfying

h(0)=0≥h(u)≥−C1,u≥0, (7)

if 0≤(u0,v0)=(u0(x),v0(x))∈C2(Ω¯)2, for simplicity, from here on, we denote X=C2(Ω¯)2, then problem (6) admits a unique classical solution (u,v)=(u(·,t),v(·,t)) uniformly bounded, and global‐in‐time (Theorem 1.1 in Fellner et al. 12 ). Therefore, the orbit O={(u(·,t),v(·,t))}t≥0 is compact in X, and hence, the ω‐limit set defined by

ω(u0,w0)={(u∗,w∗)|∃tk↑+∞s.t.‖u(·,tk)−u∗(λ),w(·,tk)−w∗(λ)‖X=0} (8)

is nonempty, compact, and connected.

With

w=Du+v,ξ=1−τD,

the system (6) transforms into

ut=DΔu+h(u)−kDu+kw,τwt+ξut=Δw,inΩ×(0,T),∂∂ν(u,w)=0,on∂Ω×(0,T),(u,w)t=0=(u0(x),w0(x)),inΩ (9)

for w0=Du0+v0. In the stationary state, we have

Δw=0inΩ,∂w∂ν∂Ω=0,

and therefore, this w is a constant denoted by w¯. w¯ is prescribed by the initial value using (5):

τw¯+ξ|Ω|∫Ωudx=λ=1|Ω|∫Ωτw0+ξu0dx. (10)

We thus obtain

−DΔu=q(u)+kτλ−ξ|Ω|∫Ωudx,∂u∂ν∂Ω=0 (11)

for

q(u)=h(u)−kDu.

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 ξ=1−τD, and v=w¯−Du, where w¯ is a constant defined by

w¯=1τλ−ξ|Ω|∫Ωu.

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 X=C2(Ω¯)2 with compact orbit. The following theorem is proven by the existence of the Lyapunov functional to (6):

ddtξ∫ΩD2|∇u|2−Q(u)dx+τk2‖w‖22+ξ‖ut‖22+k‖∇w‖22=0.

Theorem 1

( 3 ) If ξ=1−τD>0, it holds that ω(u0, v0) ⊂ Eλ.

Remark 1

From the result 12 established later, the restriction on the space dimension N=1,2,3, in Latos and Suzuki, 3 is excluded for the compactness of O. 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 Jλ′(u)=0, where

Jλ(v)=∫ΩD2|∇v|2−Q(v)−kτλvdx−kξ2τ|Ω|∫Ωv2,v∈H1(Ω) (12)

for Q′(u) = q(u). Then we obtain the dynamical stability of local minimizers of this functional.

Theorem 2

( 3 ) Let ξ=1−τD>0 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 Jλ=Jλ(v) in (12), and put

w∗=1τλ−ξ|Ω|∫Ωu∗dx.

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

‖u0−u∗‖H12+‖w0−w∗‖22<δ,1|Ω|∫Ωτw0+ξu0dx=λ,

then it holds that

supt≥0‖u(·,t)−u∗‖H12+‖w(·,t)−w∗‖22<ε

for the solution (u,w)=(u(·,t),w(·,t)) to (9).

2.2. Second model

By letting

f(u,v)=h(u+v)+α1v,h(u+v)=−α1(u+v)(α2(u+v)+1)2,

the model takes the form

ut=DΔu+h(u+v)+α1v,τvt=Δv−h(u+v)−α1v,inΩ×(0,T),∂∂ν(u,v)=0,on∂Ω×(0,T),(u,v)t=0=(u0(x),v0(x)),inΩ. (13)

Since h = h(z) is a smooth function of z ∈ R satisfying

h(0)=0≥h(z)≥−C2,u≥0, (14)

if (u0,v0)∈X=C2(Ω¯)2 with (u0,v0)=(u0(x),v0(x))≥0, the problem (13) admits a uniformly bounded unique classical solution (u,v)=(u(·,t),v(·,t))≥0, global‐in‐time.

With

w=Du+v,z=u+v,ξ=1−τDτ−1,α=1−Dτ−1

and

g(z)=(1−D)h(z)−α1Dz,

the system (13) transforms into

zt=DΔz+(wt−DΔw+α1w)+g(z),wt+ξzt=αΔw,inΩ×(0,T),∂∂ν(z,w)=0on∂Ω×(0,T),(z,w)t=0=(z0(x),w0(x)),inΩ, (15)

where (z0,w0)=(u0+v0,Du0+v0). The orbit O={(u(·,t),w(·,t))}t≥0 to (15) is thus compact in X=C2(Ω¯)2, and hence, the ω‐limit set defined by

ω(u0,w0)={(u∗,w∗)|∃tk↑+∞s.t.‖u(·,tk)−u∗(λ),w(·,tk)−w∗(λ)‖X=0}

is nonempty, compact, and connected.

First, total mass conservation arises in the form of

1|Ω|∫Ωξz+wdx=λ=1|Ω|∫Ωξz0+w0dx. (16)

Second, there is a Lyapunov functional defined by

L=L(z,w)=∫Ωα+D2|∇w|2+k2w2+ξD2|∇z|2−ξG(z)dx, (17)

satisfying

dLdt+ξ‖zt‖22+‖wt‖22+αD‖Δw‖22+αk‖∇w‖22=0. (18)

Third, in the stationary state of (15), the component w = w(x) is spatially homogeneous similarly, denoted by w=w¯∈R. Hence, it holds that

w¯=λ−ξ|Ω|∫Ωzdx (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,

−DΔz=g(z)+kλ−ξ|Ω|∫Ωzdx,∂z∂ν∂Ω=0. (20)

This problem is the Euler–Lagrange equation corresponding to the variational functional

Jλ(z)=∫ΩD2|∇z|2−G(z)−kλzdx+kξ2|Ω|∫Ωzdx2,z∈H1(Ω). (21)

Thus, the set of stationary solutions is associated with λ in (16), denoted by Eλ. We say that (z,w¯)∈Eλ, if z ∈ H1(Ω) solves (20) and w¯∈R is defined by (19).

Then we obtain the following results similarly.

Theorem 3

( 4 ) If ξ=1−τDτ−1>0, it holds that ω(z0, w0) ⊂ Eλ.

Theorem 4

( 4 ) Let ξ=1−τDτ−1>0 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 Jλ=Jλ(z) in (21), and put

w∗=λ−ξ|Ω|∫Ωz∗dx.

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

‖z0−z∗‖H12+‖w0−w∗‖22<δ,1|Ω|∫Ωw0+ξu0dx=λ,

then it holds that

supt≥0‖z(·,t)−z∗‖H12+‖w(·,t)−w∗‖22<ε

for the solution (z,w)=(z(·,t),w(·,t)) 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

f(u,v)=α1(u+v)[(αu+v)(u+v)−α2],

because it does not satisfy the quasi‐positivity. Hence in this work we consider the fourth model, (1) for

f(u,v)=vbγu2k2+u2+k0−δu, (22)

where δ > 0. One can consider the more general reaction term used in Holmes and Edelstein‐Keshet, 13

f(u,v)=vbγumk2+um+k0−δu,m>2

in the argument below.

Putting

a(u)=bγu2k2+u2+k0, (23)

we obtain f(u, v) = va(u) − δu and

a0≡bk0≤a(u)≤b(γ+k0)≡a1,0≤a′(u)≤α(k) (24)

with

α(k)=maxu>02bγk2u(k2+u2)2=33bγ16k.

Therefore, this model is reduced to

ut=DΔu+va(u)−δu,τvt=Δv−va(u)+δu,inΩ×(0,T),∂∂ν(u,v)=0,on∂Ω×(0,T).(u,v)t=0=(u0(x),v0(x))inΩ. (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

−DΔu=−(δ+aD)u+aτλ−ξ|Ω|∫Ωu,∂u∂ν∂Ω=0 (26)

for ξ=1−τD and

λ=1|Ω|∫Ωu0+τv0dx. (27)

There is a unique spatially homogeneous solution to (26), that is,

u∗=aλa+τδ.

The linearized operator around this u∗ is given by

Lφ=−DΔφ+(δ+aD)φ+aξτ|Ω|∫Ωφdx,∂φ∂ν∂Ω=0.

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

∂∂tzw=DΔ−δaτ−1δτ−1Δ−τ−1azwinΩ×(0,T)∂∂ν(z,w)∂Ω=0,1|Ω|∫Ωz+τwdx=0.

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):

−DΔu+δu=va(u),−Δv=−va(u)+δuinΩ,∂∂ν(u,v)∂Ω=0, (28)

with

1|Ω|∫Ωu+τvdx=λ. (29)

By the argument in the previous section, the function w=Du+v in (28) is a constant denoted by w¯, which is determined by (29):

w¯=1τλ−ξ|Ω|∫Ωudx.

Therefore, the system (28) is reduced to

−DΔu+δ+Da(u)u=a(u)τλ−ξ|Ω|∫ΩudxinΩ,∂u∂ν∂Ω=0. (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 (u∗,v∗)∈R2 to

u∗+τv∗=λ,f(u∗,v∗)=0, (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

A(u∗)=B(u∗), (32)

where

A(u)=τδb+γ+k0+λτδb(u−λ),B(u)=γk2k2+u2.

Thus, u∗ is a zero of a qubic polynomial, and the number of Gλ is at most three. Since

B(0)<A(0),A(λ)=−∞<B(λ),

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 (u∗,v∗)=(u∗(λ),v∗(λ)) in Proposition 1. The linearized operator around the solution u∗ = u∗(λ) to (30) is given by

Lφ=−DΔφ+(δ+Da(u∗))φ+Da′(u∗)u∗φ−a′(u∗)τλ−ξ|Ω|∫Ωu∗dxφ+a(u∗)ξτ|Ω|∫ΩφdxinΩ,∂φ∂ν∂Ω=0. (33)

We examine the degeneracy of this L in accordance with the eigenvalues 0=μ1<μ2≤…→∞ and the eigenfunctions ϕj in ‖ϕj‖2=1 for j=1,2,…. Where ϕ is the eigenfunction of −Δ with Neumann boundary conditions.

First, for μ1=0, it holds that ϕ1=constant and this condition is equivalent to

δ+Da(u∗)+Da′(u∗)u∗+a′(u∗)ξτ|Ω|∫Ωu∗dx+a(u∗)ξτ|Ω|=a′(u∗)τλ,

although the possible bifurcated object is spatially homogeneous. Second, for μj, j ≥ 2, it holds that ∫Ωϕj=0, and the above degeneracy condition is reduced to

Dμj+δ+Da(u∗)+Da′(u∗)u∗+a′(u∗)ξτ|Ω|∫Ωu∗dx=a′(u∗)τλ.

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

N≤3,2|ξ|a1<τ3(μ2D+δ). (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 ξ=1−τD>0 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 σ=σ(b,γ,k,k0,τ)>0 such that

σ(1+λ2D)≤δ (35)

implies

limt→∞‖u(·,t)−ū(t),v(·,t)−v¯(t)‖∞=0 (36)

for the solution (u,v)=(u(x,t),v(x,t)) to (25) for (23), where

ū(t)=1|Ω|∫Ωu(x,t)dx,v¯(t)=1|Ω|∫Ωv(x,t)dx.

The ω‐limit set ω(u0, v0) defined by (8) satisfies

(u∗,v∗)∈ω(u0,v0)⊂Fλ (37)

for some (u∗, v∗) ∈ Gλ and

Fλ={(ũ∗,v˜∗)∈R‾+2|ũ∗+τv˜∗=λ}. (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 w=Du+v, we transform (25) into

ut−DΔu+θ(u)=a(u)w,τwt+ξut=ΔwinΩ×(0,T)∂∂ν(u,w)=0on∂Ω×(0,T)(u,w)t=0=(u0(x),w0(x))inΩ, (39)

where

w0=Du0+v0,ξ=1−τD,θ(u)=bu+Da(u)u.

Lemma 6

The solution (u, w) to (39) satisfies the estimate:

∫0T(w−w¯,τw+ξu−λ)dt≤C3, (40)

where (· , ·) is the usual inner product in L2(Ω) and

w¯=1|Ω|∫Ωwdx.

Recalling

τw+ξu=u+τv,1|Ω|∫Ωu+τvdx=λ,

we obtain

(τw+ξu−λ)t−Δ(w−w¯)=0,∂w∂ν∂Ω=0 (41)

by (39). By

∫Ωτw+ξu−λdx=0,

it holds that

(−Δ)−1(τw+ξu−λ)t+(w−w¯)=0,

where (− Δ)−1f = z denotes

−Δz=finΩ,∂z∂ν∂Ω=0,∫Ωzdx=0

for f satisfying

∫Ωfdx=0.

Hence, there arises

(−Δ)−1(τw+ξu−λ)t,τw+ξu−λ+w−w¯,τw+ξu−λ=0.

(− Δ)−1 is a bounded self‐adjoint operator in E={f∈L2(Ω)|∫Ωfdx=0}, and therefore, it holds that

12ddt(−Δ)−1(τw+ξu−λ),τw+ξu−λ+w−w¯,τw+ξu−λ=0.

Then we obtain (40) because of the positivity of (− Δ)−1. □

Since

λ=τw¯+ξū,ū=1|Ω|∫Ωudx,

we get

τ∫0T‖w−w¯‖22dt≤|ξ|∫0T‖w−w¯‖22dt12∫0T‖u−ū‖22dt12+C3 (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

‖v(·,t)‖2≤C4λ,t≥1. (43)

By

τvt≤Δv−a0v+δu,∂v∂ν∂Ω=0,vt=0=v0(x),

we argue as in Latos et al., 17 recalling a0 = bγ > 0 in (24). First, we apply the comparison theorem to deduce

‖v(·,t)‖2≤‖eτ−1(Δ−a0)tv0‖2+τ−1δ∫0t‖eτ−1(Δ−a0)(t−s)u(s)‖2ds, (44)

where Δ is provided with the homogeneous Neumann boundary condition.

Second, the semigroup estimate 18

‖etΔz‖p≤C5max{1,t−N2(1q−1p)}‖z‖q,1≤q≤p≤∞

is applied to the right‐hand side of (44). It follows that

‖v(·,t)‖2≤C5{‖v0‖1+τ−1δ∫0te−τ−1a0(t−s)t−s−N4‖u(s)‖1ds≤λC61+τ−1δ∫0∞e−τ−1a0tt−N4dt=C7λ,

provided that t ≥ 1 and N ≤ 3. □

Recall a1 = b(γ + k0) in (24).

Lemma 8

If

a1(1+12τ)+2D(μ2−12bγα(k)C4λ)2≤δ2, (45)

it holds that

∫0T‖u−ū‖22dt≤a1τ(μ2D+δ)∫0T‖w−w¯‖22dt+C8. (46)

In this proof, we use the notations

‖z‖22=1|Ω|∫Ωz2dx,(z,ζ)=1|Ω|∫Ωz·ζdx,z¯=1|Ω|∫Ωzdx.

Then it follows that

‖z−z¯‖22=‖z‖22−z¯2,(z,ζ−ζ¯)=(z−z¯,ζ−ζ¯).

We begin by integrating over Ω the first equation of (25) to get

ūt+δū=a(u)v‾,

and then multiplying with ū,

12ddtū2+δū2=a(u)v‾·ū.

Next, we test the first equation of (25) with u:

12ddt‖u‖22+D‖∇u‖22+δ‖u‖22=(a(u)v,u).

Subtracting the last two relations above, we calculate

12ddt‖u−ū‖22+D‖∇u‖22+δ‖u−ū‖22=(a(u)v,u)−a(u)v‾·ū=a(u)v,u−ū=(a(u)v−a(u)v‾,u−ū)=(a(u)(v−v¯),u−ū)+(a(u)v¯−a(u)v‾,u−ū). (47)

Moreover, we have

a(u)v¯−a(u)v‾=a(u)1|Ω|∫Ωvdy−1|Ω|∫Ωa(u)vdy

or

a(u(x,t))v¯−a(u)v‾=1|Ω|∫Ωa(u(x,t))−a(u(y,t))v(y,t)dy,

which implies

‖a(u)v¯−a(u)v‾‖22≤‖v‖22·1|Ω|2∬Ω×Ωa(u(x,t))−a(u(y,t))2dxdy.

Here, the Poincaré–Wirtinger inequality implies

1|Ω|2∬Ω×Ω|z(x)−z(y)|2dxdy≤2·1|Ω|2∬Ω×Ω|z(x)−z¯|2+|z(y)−z¯|2dxdy=4‖z−z¯‖2≤4μ2−1‖∇z‖22. (48)

Therefore, (47) with the help of (48) blue,

12ddt‖u−ū‖22+D‖∇u‖22+δ‖u−ū‖22≤a1‖u−ū‖2·‖v−v¯‖2+2μ2−12‖v‖2‖∇a(u)‖2·‖u−ū‖2≤a1D‖u−ū‖22+‖w−w¯‖2·‖u−ū‖2+2bμ2−12γα(k)‖v‖2‖∇u‖2‖u−ū‖2≤a1D‖u−ū‖22+a12τ‖w−w¯‖22+a12τ‖u−ū‖22+D2‖∇u‖22+12D(2μ2−12bγα(k)C4λ)2‖u−ū‖22

by (24), and hence,

12ddt‖u−ū‖22+(μ2D2+δ)‖u−ū‖22≤a1(1+12τ)+2D(μ2−12bγα(k)C4λ)2‖u−ū‖22+a12τ‖w−w¯‖22

by a1 = b(γ + k0).

Thus, we conclude

ddt‖u−ū‖22+(μ2D+δ)‖u−ū‖22≤a1τ‖w−w¯‖22

from (45) and then obtain (46). □

Inequality (45) arises if we have (35) for σ=σ(b,γ,k,k0,τ)>0 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.

From (42) and (46), we get

τ∫0T‖w−w¯‖22dt≤|ξ|∫0T‖w−w¯‖22dt12·a1τ(μ2D+δ)∫0T‖w−w¯‖22dt+C812+C3.

Then (34) blue

∫0T‖w−w¯‖22dt≤C9,

and hence,

∫0∞‖w−w¯‖22dt<+∞. (49)

From the parabolic regularity and uniformly boundedness of (u,v)=(u(x,t),v(x,t)), the mapping t→‖w−w¯‖22 is uniformly continuous, and therefore, we have

limt→∞‖w−w¯‖22=0

by (49). Then, again using the parabolic regularity, we get

limt→∞‖w−w¯‖∞=0.

Since (49) implies also

∫0∞‖u−ū‖22dt<+∞

by (46), it holds that

limt→∞‖u−ū‖∞=0

similarly. We thus obtain (36).

Given (u^∗,v^∗)∈ω(u0,v0), finally, we have tk → ∞ such that

limk→∞‖u(tk)−u^∗,v(tk)−v^∗‖∞=0.

Then it holds that

λ=ū(tk)+τv¯(tk)→u^∗+τv^∗

and hence (u^∗,v^∗)∈Fλ. □

Now we study the spatially homogeneous part of (25).

Lemma 10

Take (ũ∗,v˜∗)∈R‾+2\{(0,0)} and let (U,V)=(U(t),V(t)) be the solution to (25) for (u0,v0)=(ũ∗,v˜∗):

dUdt=f(U,V),τdVdt=−f(U,V),(U,V)t=0=(ũ∗,v˜∗). (50)

Put λ=ũ∗+τv˜∗>0 and define Gλ as in Proposition 1. Then it holds that

∅≠ω(ũ∗,v˜∗)∈Gλ. (51)

First, we have

ddt(U+τV)=0,

and hence,

U+τV=λ. (52)

Then (50) is reduced to the single system,

dUdt=−δU+a(U)τ−1(λ−U),Ut=0=ũ∗≥0 (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 O={U(t)} in R‾+.

Finding G(U) such that

G′(U)=−δU+a(U)τ−1(λ−U),

we obtain

ddtG(U)=G′(U)dUdt=[G′(U)]2≥0.

This −G(U) is a Lyapunov functional, and therefore, there is

limt→∞G(U(t))=G∞

from the compactness of O.

The ω‐limit set for (53) is defined by

ω(ũ∗)={u^∗|∃tk→∞such thatlimk→∞U(tk)=u^∗}.

It is invariant under the flow defined by (53). Hence, given u^∗∈ω(ũ∗), it holds that

Ũ(t)∈ω(ũ∗),t≥0

for the solution Ũ=Ũ(t) to (53) with the initial value ũ∗ replaced by u^∗. It also holds that

G(u^∗)=G∞,∀u^∗∈ω(ũ∗),

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

ω(ũ∗)={u∗(λ)}.

Thus we obtain limt→∞U(t)=u∗(λ), and hence, limt→∞V(t)=v∗(λ) 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 (ũ∗,v˜∗)∈ω(u0,v0)⊂Fλ, let (U, V) be the solution to (25) with the initial value (u0, v0) replaced by (ũ∗,v˜∗). This solution (U,V)=(U(t),V(t)) is spatially homogeneous as in (50), and hence, it follows that (51). Then we obtain ω˜(ũ∗,v˜∗)⊂ω(u0,v0) from the invariance of the ω‐limit set under the flow of (25). Then the result follows. □

Remark 4

If ∃(ũ∗,v˜∗)∈ω(u0,v0)\Gλ is the case, there arises {(U(t), V(t))} ⊂ ω(u0, v0) for U=U(t) and V=V(t) 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

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