Abstract
We study the global-in-time behavior of solutions to a reaction–diffusion system with mass conservation, as proposed in the study of cell polarity, particularly, the second model of the work by Otsuji et al. (PLoS Comput Biol 3:e108, 2007). First, we show the existence of a Lyapunov function and confirm the global-in-time existence of the solution with compact orbit. Then we study the stability and instability of stationary solutions by using the semi-unfolding-minimality property and the spectral comparison. As a result the dynamics near the stationary solutions is qualitatively characterized by a variational function.
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1 Introduction
The purpose of the present paper is to study the mass conserved reaction–diffusion system
where \(\varOmega \subset \mathbf{R}^N\) is a bounded domain with smooth boundary \(\partial \varOmega \), \(\nu \) is the outer unit normal vector, \(D, \tau >0\) are constants, and \((u_0, v_0)=(u_0(x), v_0(x))\) are smooth nonnegative functions. Given sufficiently smooth nonlinearity \(f=f(u,v)\), standard theory allows the existence of a unique local-in-time classical solution \((u,v)=(u(\cdot , t), v(\cdot ,t))\) to (1). Then mass conservation property for this system writes
Several equations in this form are used in the study of cell polarity, e.g. [8, 17] and [14]. It is expected that different species inside the cell shall separate according to their diffusion coefficients, i.e. slow and fast diffusions will localize the species near the membrane and in the cytosol, respectively. Although three kinds of molecules are interacting inside the cell in [17], each one of them has two phases, that is, active and inactive phases which are characterized by slow and fast diffusions, respectively. Problem (1), thus focuses on these two phases of a single species, ignoring interactions between the other species.
The system (1) is a closed system in the sense that the active and inactive phases are reversible. Thus, it might be natural to suppose negatively that the system allows the Turing pattern (see [26]), that is, the appearance of spatially inhomogeneous stable stationary states induced by diffusion. In fact, the emergence of Turing patterns is widely observed in open systems including activator-inhibitor systems, where an energy flow in the system is assumed to induce the pattern. In [17], however, the authors presented the following three models in which the Turing type instability certainly takes places:
where a, b, \(\alpha ,\alpha _1\), and \(\alpha _2\) are positive constants. So far, mathematical analysis is done for the first model, noticing the similarity between the Fix–Caginalp model [22] (see [11, 13, 15] and [16]).
The present paper deals with the second form of the reaction term f(u, v) of (3) and investigates the stability property of stationary solutions We are primarily interested in how mathematically different the second form of f(u, v) is from the first one, though both allow the Turing type instability. In fact, as mentioned above, the first one is transformed into a phase-field type system and this fact helps in those studies, but apparently the second one does not allow such a nice form. We also found a biological model of reaction–diffusion equations with \(f(u,v)=\mu [h(u+v)+v]\) in [19], though the diffusion of u is absent by a biological reason. We explain briefly this model in the end of this section.
Here we confirm several classical results. First, this nonlinearity \(f=f(u,v)\) satisfies
and hence the standard maximum principle applied to the individual equations to u and v guarantees their non-negativity. Next, the solution is global-in-time because of the weak nonlinearity, that is, at most linear growth as \(u,v\rightarrow \infty \). (see [12]) Thus we obtain the following statement.
Theorem 1
The classical solution \((u,v)=(u(\cdot ,t), v(\cdot ,t))\) to (1) for the second case of f(u, v) in (3) is global-in-time and satisfies
We remark that the classical solution to (1) with \(t>0\) is ensured by \(0\le u_0, v_0\in L^\infty (\varOmega )\), therefore we assume the initial values to be smooth.
Now we let
to rewrite the model as
Here we assume \(\tau \ne 1\) and furthermore,
that is, either \(\tau>1>\tau D\) or \(\tau D>1>\tau \). Using
system (6) transforms into
If the second term on the right-hand side of the first equation of system (9) is reduced to kw, we obtain
where \(z_0=u_0+v_0\) and \(w_0=Du_0+v_0\). It is a generalization of the Fix–Caginalp model [2, 5] for \(g(z)=z-z^3\). We noticed that the first model of (3) is reduced to (10) (see [16]). Then, as in the Fix–Caginalp model [22], we used a variational structure arising between the Lyapunov function and the stationary state, to clarify the global-in-time dynamics [13] in accordance with a spectral property of the stationary state [15]. Namely, first, the stationary state is described by an elliptic boundary value problem with a nonlocal term where the conservative quantity of (10) is involved as a parameter. Second, this elliptic problem has a variational functional associated with the Lyapunov function to (10). Finally, any non-degenerate minimum of this variational functional is dynamically stable as a stationary solution to (10).
Here we show similar properties for problem (9). In this model, we still have a Lyapunov function which induces a variational function to formulate a stationary state. Accordingly the orbit of a non-stationary solution is compact (Theorem 2), while any local minimum is dynamically stable (Theorem 3). Furthermore, the Morse index of the stationary solution, defined by the variational function, is equal to the dynamical instability if \(\xi \eta _2>k\), where \(\eta _2\) denotes the second eigenvalue of \(-\,\varDelta \) under the Neumann boundary condition (Theorem 4). As a consequence of Theorem 4 we can see that any stable stationary solution has a monotone profile in one-dimensional space, similar to the first form of (3) even though the Turing instability takes place (see [11]).
Although (9) is derived from (6) for the case of \(\tau \ne 1\), system (6) itself has a Lyapunov function even for \(\tau =1\). This fact was noticed by [11] to confirm the existence of global-in-time solutions and the spectral comparison property of stationary solutions. Before the end of this section we shall confirm that the Lyapunov function of \(\tau =1\) used by [11] is regarded as a limit case under suitable scaling.
To begin with, we note that mass conservation (2) takes the form
in (z, w)-variable of (8). Noticing this property, we set
To derive the Lyapunov function of (9), we multiply the first equation of (9) with \(z_t\) to obtain
where
and \((\cdot ,\cdot )\) denotes the \(L^2-\)inner product. Multiplying the second equation of (9) with \(w_t-D\varDelta w+kw\), next, we obtain
From (12) and (13) it follows that
Therefore,
is a Lyapunov function with:
Now we formulate the stationary state of (9). First,
holds in the stationary state of (9) and hence \(w=w(x)\) is a spatially homogeneous function denoted by \(w=\overline{w}\in \mathbf{R}\). Then the total mass conservation (11) implies
hence
Plugging (17) into the first equation, we see that the stationary state of (9) is reduced to a single equation concerning \(z=z(x)\), that is,
This problem is the Euler–Lagrange equation corresponding to the functional
defined for \(z\in H^1(\varOmega )\).
Our point is to clarify the dynamical stability of the solution to (18), regarded as a stationary solution to (9). First, the Lyapunov function guarantees the global-in-time solution. Let \((u_0,v_0)\in X=C^2(\overline{\varOmega })^2\) and \(E_\lambda \) be the set of solutions \(z=z(x)\) to (18) for \(\lambda \in \mathbf{R}\) defined by
Theorem 2
If (7) holds, the orbit \(\mathcal{O}=\{ (u(\cdot ,t), v(\cdot ,t))\}_{t\ge 0}\subset X\) of the solution \((u,v)=(u(\cdot ,t), v(\cdot ,t))\) to (6) with (5) is compact and hence the \(\omega \)-limit set defined by
is nonempty, compact, and connected. Furthermore, any \((u_*, v_*)\in \omega (u_0,v_0)\) admits \(z_*\in E_\lambda \) such that
for \(w_*\in \mathbf{R}\) defined by
Finally, it holds that
where
As we have seen, any stationary solution \((u_*,v_*)\) to (9) corresponds to a critical point \(z_*\in H^1(\varOmega )\) of \(J_\lambda (z)\) in (19) through (21)–(22). Now we examine its dynamical stability. The first result follows from the semi-unfolding-minimality between the Lyapunov function L(z, w) and variational functional \(J_\lambda (z)\) (see [21]). Namely, first, it holds that \(L(z,\overline{w})=J_\lambda (z)\) for \(\overline{w}\in \mathbf{R}\) defined by (17). This property is called the semi-unfolding. Second, \(J_\lambda (z)\) arises as the global minimum of L(z, w) among all w satisfying (11). This property is called the semi-minimality. These structures of the second model are similar to the ones of the first model of (3) studied in [13]. In this paper when a stationary solution of (6) is Lyapunov stable, we call that a stationary solution of (6) is dynamically stable.
Theorem 3
Given \(0\le (u_0,v_0)\in X\), let \(z_*\in H^1(\varOmega )\) be a local minimum of \(J_\lambda (z)\) in (19) for \(\lambda \) defined by (20). Then \((u_*,v_*)\) derived from (21)–(22) is a dynamically stable stationary state of (6).
Finally we pay attention to the linearized stability. We write (9) as
recalling \(1-D/\alpha =\xi /\alpha \). Then the linearlized equation of (24) around \((z_*, w_*)\) is given as
where
Therefore, an index of the instability for \((z_*, w_*)\) to (9), or equivalently, that of \((u_*, v_*)\) to (6), is indicated by the number of eigenvalues with negative real parts of the operator \(\mathcal{A}=M^{-1}\mathcal{A}_1\). This operator is actually realized in \(L^2(\varOmega ; \mathbf{C})^2\), the Hilbert space composed of square integrable complex-valued functions on \(\varOmega \), with the domain
On the other hand, the element \(z_*\) is also a stationary state of
that is,
The index of the instability of the solution for \(z_*\) to (26), on the other hand, is indicated by the number of negative eigenvalues of \(\mathcal{L}\), which is the self-adjoint operator in \(L^2(\varOmega )\) defined by
with the domain
The following theorem assures that these two Morse indices coincide, provided that
where \(\eta _2\) is the second eigenvalue of \(-\varDelta \) with the Neumann boundary condition.
Theorem 4
Any eigenvalue \(\sigma \in \mathbf{C}\) of \(\mathcal{A}\) in \(\text{ Re } \ \sigma < \alpha k/2\xi \) is real, and has the same algebraic and geometric multiplicities under an additional condition \(\sigma <\alpha \eta _2\). In addition, if the condition (28) is satisfied, the numbers of negative and zero eigenvalues of \(\mathcal{A}\) and \(\mathcal{L}\) coincide.
We note that the assumption (28) is a technical condition to ensure that the assertion of the above theorem (see the fifth step of the proof in Sect. 4) holds. Hence, we might relax the condition by improving the argument in the proof, which would be a future work.
Theorem 4 is regarded as a spectral comparison property first observed by [1]. It has been examined for the first model of (3) by [15] and for the second model with \(\tau =1\) by [11]. Here we use a similar argument as in [3] for the proof. By virtue of this theorem we can see that there is a restriction on the profile of stable stationary solutions. For instance, in a cylindrical domain [23] tells that every stable solution \(z_*\), given by the critical point of \(J_\lambda \), must be monotone in the axial direction. Therefore, such a property to the solution \((u_*, v_*)\) to (9) is inherited from \(z_*\) through (21) (see [11] for a similar application).
We give a remark on the case \(\tau =1\). Some of the above results are similar to those in ([11]) for the case \(\tau =1\), therefore we make clear the connection by taking the limit \(\tau \rightarrow 1\). We confirm that the Lyapunov function L(u, v) and stationary state valid to \(\tau \ne 1\), that is, (14) and (18), respectively, are reduced to those for \(\tau =1\) used in [11], under suitable scaling. In the following, we assume \(D\ne 1\), because \(\tau =D=1\) is the trivial case of (1).
First, given \(\tau \ne 1\), we define \(\hat{L}(z,w; \tau )\) by
Since
it follows that
which is the Lyapunov function used in [11].
Next, to derive the limit problem of (18) we take
By taking \(\tau \rightarrow 1\), it holds that
On the other hand, since \(\lambda =\xi \hat{\lambda }\) we write (18) as
Because of \(\xi \rightarrow \infty \) as \(\tau \rightarrow 1\), we need to assume \(\int _{\varOmega } z\ dx\rightarrow \hat{\lambda }\) so that the limit problem makes sense. Therefore, we can require the limit problem as \(\tau \rightarrow 1\) to be
with some \(\mu \in \mathbf{R}\)
and \(\int _{\varOmega }z\ dx=\hat{\lambda }\). Hence we end up with
The stationary state of (6) with \(\tau =1\) is now formulated by (29)–(31), using \(z=u+v\). This is the Euler–Lagrange equation of the functional
defined for
As mentioned in the explanation of the model equations, there is a biological model which has a similar form in the kinetics. In [19], the authors propose the next system:
where u and v stand for the density of a proliferating population and a migrating population in tumour cells, respectively. \(\Gamma (u+v)\) is the probability that an immotile cells becomes motile. They assume that the proliferating population does not migrate, hence no diffusion in the u equation. For an explicit function
they show a Turing type instability and wave patterns by using numerical methods, where \(\alpha \) and \(z^*\) are positive parameters. Since we write
the right hand side of the u equation can be written as \(g(z)+\mu v\), where \(g(z)=-\mu \Gamma (z)z\). Our final remark is that with a slightly little modification our results can be extended to the case when h(z) is replaced by g(z).
This paper is composed of four sections. Theorems 2, 3, and 4 are proven in Sects. 2, 3, and 4, respectively. The standard \(L^p\) norm on \(\varOmega \) is denoted by \(\Vert \ \Vert _p\), \(1\le p\le \infty \).
2 Proof of Theorem 2
In this section we will prove several a priori estimates. Henceforth, \(C_i\), \(i=1,2,\ldots ,19\) denote positive constants independent of t.
The first observation is the inequality
which follows from (11) and \(\xi >0\). Now we show the following lemma.
Lemma 2.1
It holds that
Proof
Since
we have
Hence it holds that \(v(x,t)\le \overline{v}(t)\), where \(\overline{v}=\overline{v}(t)\) is the solution to
that is,
Then we obtain
and hence (33). \(\square \)
Lemma 2.2
We have
Proof
First, (15) implies
In (14):
it holds that
Then (35) follows from (32), which is derived from the conservation of the total mass, and Wirtinger’s inequality:
with \(\mu _2>0\) defined to be the second eigenvalue of \(-\varDelta \) under the Neumann boundary condition where, \(\displaystyle {\langle z \rangle =\frac{1}{\vert \varOmega \vert }\int _\varOmega z \ dx}\). \(\square \)
Lemma 2.3
It holds that
Proof
Taking \(\mu >0\), we write the second equation of (9) as
Then it follows that
To estimate the second term on the right-hand side of (38), we use the semigroup estimate (see [20])
recalling that N is the space dimension.
First, we apply this to \(q=2\) and \(r=\infty \) for \(N=1\) and \(1\le r<\frac{2N}{(N-2)_+}\) for \(N\ge 2\). Then it follows that
and hence
from (38). Here we used (35) for the second inequality to derive.
If \(N\ge 2\), we also have
derived from (35), which implies
by (33). Using (34), now we have
Then it holds that
for
where the semigroup estimate (39) is applicable. From (35), (42), and (43) it thus follows that
for \(1\le r\le \infty \) satisfying
Thus we obtain
for \(N\le 5\), while (42) is improved as
for \(N\ge 6\). Continuing this procedure, we reach (44) for any N and then (37) follows from (35). \(\square \)
Proof of Theorem 2
This implies \(T=+\infty \) and the relative compactness of the orbit
From the general theory (see [6, 7]) the \(\omega \)-limit set \(\omega (u_0,v_0)\) is contained in the set of equilibria, that is, L(z, w) is constant on \(\omega (u_0,v_0)\) by LaSalle’s principle.
Given \((u_*, v_*)\in \omega (u_0, v_0)\), let \(({\tilde{u}}, {\tilde{v}})=({\tilde{u}}(\cdot ,t), {\tilde{v}}(\cdot ,t))\) be the solution to (6) for \((u_0,v_0)=(u_*, v_*)\) and
From the above property we have
and then it follows that
from (15). Hence we have
and \(w_*\in \mathbf{R}\). This \(w_*\) is determined by the total mass
for \(\lambda \) in (20). Then (22) follows, and \(z=z_*\) is a solution to (18).
Since each \((u_*, v_*)\in \omega (u_0, v_0)\) satisfies \(w_*=Du_*+v_*\in \mathbf{R}\), it holds that
Then we obtain (23). \(\square \)
3 Proof of Theorem 3
We have derived (25) by reducing the second equation of (9) to the stationary state. This process is valid even in the variational level, that is, between the functionals L(z, w) and \(J_\lambda (z)\). In Lemma 3.1 below, we shall show the semi-unfolding-minimality property, observed in several models in non-equilibrium thermodynamics [9, 10, 22,23,24,25] and [18] (see also [21]).
For the moment we regard L(z, w) and \(J_\lambda (z)\) as smooth functionals of \((z,w)\in H^1(\varOmega )\times H^1(\varOmega )\) and \(z\in H^1(\varOmega )\), defined by (14) and (19), respectively.
Lemma 3.1
Given \(\lambda \in \mathbf{R}\), let \((z,w)\in H^1(\varOmega )\times H^1(\varOmega )\) satisfy
and define \(\overline{w}\in \mathbf{R}\) by (17). Then it holds that
Proof
We have
and hence
by Jensen’s inequality. Then \(L(z,w)\ge L(z,\overline{w})\) follows.
The second identity of (45) is now derived as
\(\square \)
The following lemma holds because \(h=h(z)\) is real analytic in \(z\ge 0\). The proof is similar to Lemma 7 of [13] and is omitted.
Lemma 3.2
Let \(z_*=z_*(x)\) be a local minimizer of functional \(J_\lambda (z)\), \(z\in H^1(\varOmega )\), defined by (19). Since \(h=h(z)\) is a real-analytic function of \(z\in \mathbf{R}\), there exists an \(\varepsilon _0>0\) such that any \(\varepsilon \in (0,\varepsilon _0/4]\) admits a \(\delta _0>0\) so that
We are ready to give the following proof using semi-duality.
Proof of Theorem 3
First, the solution \((z,w)=(z(\cdot ,t), w(\cdot ,t))\) lies on the affine space \(\{ (z,w) \mid \int _\varOmega \xi z+w \ dx=\lambda \}\). Let \((z_0,w_0)\) be the initial value and let \(0\le z_*\in H^1(\varOmega )\) be a local minimum of \(J_\lambda (z)\), \(z\in H^1(\varOmega )\), for \(\lambda \) defined by (16). Given \(\varepsilon >0\), we shall show the existence of \(\delta >0\) such that
implies
for \(\overline{w}\in \mathbf{R}\) defined by (17). This property will imply the stability of \((z_*, \overline{w})\) concerning (9) in \(X=C^2(\overline{\varOmega })^2\), because the orbit
is relatively compact in X.
First, we take \(\varepsilon _0>0\) be as in Lemma 3.2. Then the total mass conservation in the form of (11) implies
by (15). Given \(\varepsilon \in (0,\varepsilon _0/4]\), next, we take \(\delta _0\) as in Lemma 3.2. Then we determine \(\delta >0\) such that (47) implies
From the second inequality of (49) we have
Now we show
In fact, if this is not the case we have \(t_0>0\) such that
because of the first inequality of (49) and the continuity of \(t\mapsto z(\cdot ,t)\in H^1(\varOmega )\). Then Lemma 3.2, based on (50) and (52), implies
a contradiction. Having (50) and (51), we obtain
Since
it holds that
Then (48) follows from (23) and
\(\square \)
4 Proof of Theorem 4
The eigenvalue problem of \(\mathcal{A}\) in \(L^2(\varOmega : \mathbf{C})^2\) takes the form
which means \((\phi , \psi )\ne (0,0)\) and by
it is written as
namely,
Henceforth, \(( \ \cdot \ , \ \cdot \ )\) and \(\Vert \ \cdot \ \Vert \) indicate the inner product and norm in \(L^2(\varOmega ; \mathbf{C})^2\), respectively.
For the proof of Theorem 4, we have to compare nonpositive eigenvalues of \(\mathcal{A}\) and \(\mathcal{L}\), which is defined in (27) as,
To carry out it, we will take the following steps:
-
1.
Prove that every eigenvalue of \(\mathcal{A}\) in \(\{\lambda \in \mathbf{C} ~|~ \text{ Re }\lambda \le 0\}\) is real.
-
2.
Show the coincidence of the algebraic multiplicity and geometric one of each nonpositive eigenvalue.
-
3.
Write the equations of (54) as \(\mathcal{L}\phi =\sigma \mathcal {M}(-\sigma /\alpha )\phi \) by an appropriate nonlocal operator \(\mathcal {M}(s)\), which is bounded for each \(s\ge 0\) provided (28) holds.
-
4.
Consider the weighted eigenvalue problem for \(\mathcal{L}\phi =\mu \mathcal {M}(s)\phi \) and show that the number of negative eigenvalues of this problem is equal to that of \(\mathcal{L}\), that is, \(\mathcal{L}\phi =\mu ^*\phi \).
-
5.
For each negative eigenvalue \(\mu =\mu (s)\) of the weighted problem prove the monotonicity of \(\mu (s)/s\) together with the continuity in \(s\in (0, \infty )\) and conclude the existence of s enjoying \(s=-\mu (s)/\alpha \).
We first show the next lemma.
Lemma 4.1
Any eigenvalue \(\sigma \in \mathbf{C}\) of \(\mathcal{A}\) satisfying
is real.
Proof
We may assume \(\sigma \ne 0\). Letting
we have
by (54). Then it follows that
The last two equalities of (56) imply
while from the first and the third equalities we have
Equalities (57)–(58) are reduced to
Thus \(\sigma _1<\alpha k/2\xi \) implies \(\sigma _2=0\). \(\square \)
Henceforth, we define \(-\varDelta _N\) by \(-\varDelta _N\phi =-\varDelta \phi \), \(\phi \in D(-\varDelta _N)\), and
Since
the operator \(-\,\varDelta _N\) is a self-adjoint operator in \(L^2_0(\varOmega )\). We put also
for \(\phi \in L^2(\varOmega )\).
The proof of the following lemma is similar to that of Lemma 3.3 of [3], although more careful computation is needed.
Lemma 4.2
In addition to the condition for the spectrum \(\sigma \) in Lemma 4.1 assume \(\sigma <\alpha \eta _2\). Then the algebraic and geometric multiplicities of the eigenvalue \(\sigma \) of \(\mathcal{A}\) in (55) coincide.
Proof
Let
To prove
it suffices to show the nonexistence of the solution to
First, Eq. (60) yields
and hence
from the second component. Applying Q to both sides, we obtain
Then the first component of (61) implies
Similarly, (60) implies
and hence
From the second equation of (64) it follows that
by putting \(B=-\varDelta _N-\sigma /\alpha \). We note that B has an inverse by the assumption. Plug this into the first equation of (64). Since \(\xi \langle \phi \rangle +\langle \psi \rangle =0\) and \(\xi \langle \phi _0 \rangle +\langle \psi _0\rangle =0\), we obtain
where
and
The operator \(\tilde{\mathcal{L}}\) in (66) is realized as a self-adjoint operator in \(L^2(\varOmega )\) with the domain \(D(\tilde{\mathcal{L}})=\{ \phi \in H^2(\varOmega ) \mid \left. \frac{\partial \phi }{\partial \nu }\right| _{\partial \varOmega }=0\}\). It holds that \(\tilde{\mathcal{L}}(\phi _0)=0\) by (63). Hence (65) implies
Here we have
Due to (62), the sum of the last three terms on the right-hand side of the above equality is equal to
Hence it follows that
By the assumption (55) in Lemma 4.1 we have
which implies that the right-hand side of the equality (68) is positive. Hence, \((W,\phi _0)>0\), which is a contradiction. If \(\sigma <0\), utilizing
we can assert \((W,\phi _0)>0\), which is a contradiction. \(\square \)
To go to the third step of the proof of Theorem 4, we write the second equation of (54) as
that is,
Next, the first equation of (54) writes
Therefore, it holds that
By Lemmas 4.1 and 4.2, any eigenvalue \(\sigma \) of \(\mathcal{A}\) satisfying (55) is real, with equal algebraic and geometric multiplicities. Then it holds that
by (28) and the assumptions. Here we put
for each \(s>-k/\xi (>-\eta _2)\). From (27) and (70), the complex number \(\sigma \) satisfying (55) is an eigenvalue of \(\mathcal{A}\) if and only if it is real, \(\sigma /\alpha <\eta _2\), and
Associated with this problem we consider the eigenvalue problem
For \(s>-k/\xi \), \(\mathcal {M}(s)\) is self-adjoint and bounded positive operator. Thus problem (72) admits an infinite number of eigenvalues, which are all real, denoted by
according to their multiplicities. For fixed \(s>-k/\xi \), let \(\varSigma (s)=\{ \mu _j(s)\}_{j=1}^\infty \). We note that the problem (71) implies \(\sigma \in \varSigma (-\sigma /\alpha )\).
We next go to the fourth step. We use the weighted \(L^2\) norm \(\Vert \ \cdot \ \Vert _s\) defined by
Then the min-max principle is available to define the spectrum \(\varSigma (s)\) through the Rayleigh quotient (see, e.g. [4])
Thus, it holds that
where \(\phi _{\ell }(s)\) denotes an eigenfunction of (72) corresponding to \(\mu _\ell (s)\) such that \(\Vert \phi _\ell (s)\Vert _s=1\). We note that the eigenvalues are arranged in an increasing order with respect to counting the multiplicity and a corresponding eigenfunction is uniquely determined up to multiplication of the nonzero constant.
We compare the spectrum \(\varSigma (s)\) with that of the operator \(\mathcal {L}\). Let the eigenvalues of \(-\varDelta _N\) be \(\{\eta _i\}_{i=2}^\infty \),
and \(\{ \varPhi _i\}_{i=2}^\infty \) be its \(L^2\) ortho-normal eigenfunctions. Then we have
By (28) we have
Then it holds that
where
Hence the number of non-positive elements of \(\{\mu _j(s)\}_{j=1}^\infty \) is equal to that of the non-positive eigenvalues of \(\mathcal{L}\). More precisely, we have
for each j, where \(\mu _j^*\) denote the j-th eigenvalue of \(\mathcal{L}\).
We now go to the final step. From (71), the real number \(\sigma \) in \(\sigma <\alpha k/2\xi \) is an eigenvalue of \(\mathcal{A}\) if and only if
for some \(j\ge 1\). In particular, the number of zero eigenvalues of \(\mathcal{A}\) is equal to that of zero elements of \(\{ \mu _j(0)\}_{j=1}^\infty \). Namely, this number is equal to \(m^*\). Rewriting (77) with \(s=-\sigma /\alpha \), on the other hand, we see that the number of negative eigenvalues of \(\mathcal{A}\) is equal to that of \(s>0\) such that
for some \(j=1,\ldots , m\).
We prove the monotonicity of \(\mu _j(s)/s\) in s. Here we have
and
with
Hence it follows that
From (79) and (80) we have \(c_0>0\) independent of \(s>0\) and \(\phi \in H^1(\varOmega )\setminus \{0\}\) such that
as \(s'\downarrow s\) uniformly in s and \(\phi \).
By (73) and (81) it holds that
as \(s'\downarrow s>0\). In particular, the mapping
is strictly increasing if \(\mu _j(s)<0\), that is,
for \(j=1, \ldots , m\).
To confirm the continuity of
we use its monotonicity (non-increasing) derived from
Indeed, invoking (75) and noticing that
by the condition (28), we obtain (84). Then (82) and (84) imply
and hence the continuity of (83).
Since (76) implies
each \(j=1,\ldots ,m\) admits a unique \(s=s_j>0\) such that (78) holds. Thus, the number of negative eigenvalues of \(\mathcal{A}\) is equal to m. The proof of Theorem 4 is complete. \(\square \)
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Acknowledgements
The authors would like to thank the referee for careful reading of the manuscript and the valuable comments for the improvement of the first version. The first author was supported from DFG Project CH 955/3-1. The second author was partially supported by the Grand-in-Aid for Scientific Research (A) No. 26247013, (B) No. 26287025 and Challenging Exploratory Research No. 24654044, Japan Society for the Promotion of Science. The third author was partially supported by JST-CREST and JSPS Core to Core Project.
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Latos, E., Morita, Y. & Suzuki, T. Stability and Spectral Comparison of a Reaction–Diffusion System with Mass Conservation. J Dyn Diff Equat 30, 823–844 (2018). https://doi.org/10.1007/s10884-018-9650-6
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DOI: https://doi.org/10.1007/s10884-018-9650-6
Keywords
- Reaction diffusion system
- Mass conservation
- Cell polarity
- Global-in-time behavior
- Lyapunov function
- Spectral comparison