Dimension reduction and optimality of the uniform state in a Phase-Field-Crystal model involving a higher order functional
Radu Ignat (IMT, UPS), Hamdi Zorgati (LEDP)

TL;DR
This paper investigates a Phase-Field-Crystal model with higher order derivatives, establishing a dimension reduction via $ ext{Gamma}$-convergence and characterizing conditions for the uniform state to be globally minimal.
Contribution
It provides a $ ext{Gamma}$-convergence analysis for a 3D model to a 2D reduced model and determines the optimality conditions for the uniform state, including for the Ohta-Kawasaki model.
Findings
Dimension reduction from 3D to 2D via $ ext{Gamma}$-convergence.
Necessary and sufficient conditions for the uniform state's global minimality.
Extension of results to the Ohta-Kawasaki model.
Abstract
We study a Phase-Field-Crystal model described by a free energy functional involving second order derivatives of the order parameter in a periodic setting and under a fixed mass constraint. We prove a -convergence result in an asymptotic thin-film regime leading to a reduced 2-dimensional model. For the reduced model, we prove necessary and sufficient conditions for the global minimality of the uniform state. We also prove similar results for the Ohta-Kawasaki model.
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Dimension reduction and optimality of the uniform state in a Phase-Field-Crystal model involving a higher order functional
Radu Ignat
222Institut de Mathématiques de Toulouse & Institut Universitaire de France, UMR 5219, Université de Toulouse, CNRS, UPS IMT, F-31062 Toulouse Cedex 9, France. Email: [email protected]
Hamdi Zorgati
333Département de Mathématiques, Faculté des Sciences de Tunis, Université Tunis El Manar 2092, Tunisia. Email: [email protected]
Abstract
We study a Phase-Field-Crystal model described by a free energy functional involving second order derivatives of the order parameter in a periodic setting and under a fixed mass constraint. We prove a -convergence result in an asymptotic thin-film regime leading to a reduced -dimensional model. For the reduced model, we prove necessary and sufficient conditions for the global minimality of the uniform state. We also prove similar results for the Ohta-Kawasaki model.
Keywords: -convergence, global minimality, fixed mass constraint, Phase-Field-Crystal, Ohta-Kawasaki.
MSC: 35J30, 49S05.
1 Introduction and main results
Recently Phase-Field-Crystal (PFC) models were introduced in order to study crystallization phenomena and to describe the pattern formation at microscopic scales. These models succeed to capture the competition of attractive and repulsive interactions between some modulated phases inducing inhomogeneities and domain formation. (We refer to the review paper of Emmerich et al. [15] for more details.)
In this paper, we consider a -dimensional model inspired by the one derived by Elder et al. [13, 14]. More precisely, this PFC model is described by a free energy functional for the order parameter corresponding to the local mass density (or the number density of particles) which is a variant of the Swift-Hohenberg energy [25] (introduced to study Rayleigh-Bénard convection). This functional involves a double-well potential energy and a regularization term with higher order derivatives: a gradient term favoring changes in the number density and a second order term controlling such changes. As periodic states are expected to nucleate in the regime of thin film domains (which allow for elastic and plastic deformations), the order parameter is considered here as periodic in the in-plane variables together with a null-flux condition in the vertical direction. Several works and numerical simulations illustrated the efficiency of this model to study crystallization and other phenomena, such as crystal growth [13], homogeneous nucleation [4], heterogeneous nucleation, grain growth and crack propagation for ductile material [12].
An important research direction concerns the study of (global) minimizers of this energy functional according to several parameters of the system. It is expected that the minimizers are trivially constant in some parameter regime, and they exhibit stripes or hexagonal type structures in other regimes. Finding analytically the exact curves separating such parameter regions is a big challenge and remains still open, despite some rigorous attempts such as the paper [24] where some bounds on the order-disorder phase transition were obtained by a numerical algorithm. An attempt was also conducted in this direction for a similar type energy, that is the Ohta-Kawasaki problem [26] using numerics that take into account the impact of domain size optimization. In [5], the authors studied the existence of bifurcation branches from the trivial solution with a constraint on the Hamiltonian in the one dimensional case. We mention the work [11] on the Swift-Hohenberg equation where the authors studied stability of the hexagonal patterns and transitions to different solutions like stable or unstable rolls. Also, we refer to [23] where the authors studied an extended Fisher-Kolmogorov equation, finding conditions on a fourth order term that permits existence of different type of one-dimensional periodic solutions exhibiting a countable number of kinks. We discuss in Remark 3.4 the question of finding the parameter region where the minimizers exhibit stripes, in particular, when they are one-dimensional symmetric.
The aim of this paper is to determine the exact parameter curve for the phase transition between the uniform state and the non-trivial states for the PFC model, by providing a necessary and sufficient condition for global minimality of the constant state. We also discuss the case of the Ohta-Kawasaki model.
Model. The -dimensional domain considered here is periodic in the in-plane coordinates with the period and of thickness in the vertical coordinate ; the prototype of the cell is denoted by
[TABLE]
where stands for the -dimensional torus of length . For the scalar order-parameter that is -periodic in the in-plane variables and corresponding to the local mass density, the following free-energy functional is defined
[TABLE]
where is a fixed constant and is a continuous potential. Note that the above quantity is finite for since is bounded in by Sobolev embedding (for more details about the well-posedness and coercivity of the functional , see Lemma 1.2 and Remark 2.1 below).
In the classical PFC model [4, 12, 13, 14, 15], is some positive constant (usually considered in the numerical simulations equal to 1) and is a double-well potential favoring the two phases for some constant . The difficulty in treating this model in the case of positive resides in the possibility of losing the coercivity of the functional (as we point out in Remark 2.1 below). When is nonpositive, we recover the extended Fisher-Kolmogorov type model [9] introduced for the study of some bistable physical systems, which is a higher order generalization of the well known Allen-Cahn model for phase-transitions. Therefore, the case is somehow easier to treat due to this coercivity issue.
Boundary conditions. The number density of particles is supposed to be -periodic in the in-plane variable , i.e.,
[TABLE]
On the top and bottom surfaces, a null-flux condition is imposed
[TABLE]
where is the partial derivative in the vertical direction . This condition physically expresses a finite deposition rate (see [14]) and will make the limit number density of particles to be -dimensional in our thin-film regime.
Mass constraint. The following constant mass constraint is imposed on every order-parameter :
[TABLE]
where is a fixed constant.
Aim. We want to analyze the behavior of the energy and its minimizers in the asymptotic thin-film regime where the relative thickness is very small. First, we will employ the -convergence method in order to deduce a reduced -dimensional model that catches the asymptotic behavior of ; second, we will analyze the minimizers of the -limit, more precisely, we will give a necessary and sufficient condition that guarantees that the uniform state is the (unique) global minimizer of the limit functional.
1.1 Dimension reduction: -convergence result.
The -convergence technique is the usual way to carry out the dimension reduction and was already fruitful for energies involving higher order terms (see e.g. [8, 16, 18, 21]). We recall that a sequence of functionals defined on a topologic space with values into is -converging to the limit functional with respect to the topology of if and only if the following two conditions are satisfied for every :
[TABLE]
Thin-film regime. We consider the thin-film regime
[TABLE]
In order to carry out the asymptotic analysis, we rescale the problem as follows:
Scaling. We consider the new variables
[TABLE]
so that if and only if
[TABLE]
where the reference domain has the -dimensional torus as basis and unit thickness in the vertical direction . The order parameter is rescaled as follows
[TABLE]
for the rescaled order-parameter . The nondimensionalized energy functional writes in terms of as follows:
[TABLE]
where we denoted the in-plane laplacian by .
The boundary conditions transfer to the rescaled configuration , i.e., is -periodic in the in-plane variable and satisfies the zero Neumann boundary condition on the top and bottom surfaces
[TABLE]
Also, the mass constraint on transfers to as
[TABLE]
Therefore, we denote the set of admissible configurations by
[TABLE]
Note that is a convex set in the space . In the following, we restrict our functionals to the set endowed with the weak topology in .
-convergence. The aim is to prove that in the asymptotic regime (1.2) the -limit of functionals on is given by
[TABLE]
where is the subset of functions in that are invariant in the vertical direction, i.e.,
[TABLE]
Note that for a configuration , the functional corresponds to a -dimensional functional on the torus :
[TABLE]
Theorem 1.1**.**
Let and be two sequences such that and as . If satisfies444If , then its Euclidian norm is denoted by .
[TABLE]
and is a continuous potential on bounded from below, i.e.,
[TABLE]
then the sequence of functionals -converges to in the weak topology. More precisely,
A. Compactness: If is a sequence in such that , then up to a subsequence, converges weakly in to a limit .
B. Lower bound: If converges weakly in to a limit , then .
C. Upper bound: If , then there exists a sequence such that strongly in and .
The main ingredient in the proof of the -convergence is given by the coercivity of the functional in :
Lemma 1.2**.**
Let and be a continuous potential on with (1.5). Then for every with (1.4), there exist (all depending on ) such that for every and every we have
[TABLE]
Thanks to the -convergence result in Theorem 1.1, the minimizers of converge to the minimizers of the limit functional over in the regime (1.2). This justifies the importance of the analysis of the minimizers of the limit problem that is done in the next section.
1.2 Optimality of the uniform state in the PFC model.
The aim of this section is to analyze the minimizers of the -limit over the set . In [24, Theorem 3.1], the authors provide a lower bound for the order-disorder phase transition which is illustrated by the fact of whether or not the constant state is a global minimizer. They also provide numerical results for this phase transition. In our analysis, we provide the exact phase transition in the case of the double-well potential obtaining a necessary and sufficient condition for global minimality of the uniform state.
Note that if is a potential, then the Euler-Lagrange equation satisfied by a critical point of over is the following:
[TABLE]
where the right-hand side is due to the constant mass constraint. The necessary and sufficient condition for the uniform state to be a stable critical point of over for potentials is:
[TABLE]
However, in order to ensure that is a global minimizer of over we need a stronger assumption that is related to the following optimal constant in the -dimensional torus :
[TABLE]
(In Proposition 3.1 below, we will relate the above constant with the condition (1.7).) Our main result provides a necessary and sufficient condition for the state to be a (unique) global minimizer of over in the case of the double-well potential which is an improvement of the result [7, Theorem 3.1] and [17, Proposition 3.1].
Theorem 1.3**.**
Let and .
1. The uniform state is a stable critical point of over if and only if (1.7) holds true.
2. Assume that satisfies in for some constant . If (1.7) holds true and
[TABLE]
then is a global minimizer of over . Moreover, if the inequality (1.8) is strict, then is the unique global minimizer of over .
3. Let such that in for some constant and assume that the inequality in (1.7) is strict. Then is not a global minimizer of over provided that
In Section 3 we prove the above result in any dimension . Moreover, in Remark 3.3 below, we interpret the necessary and sufficient condition in Theorem 1.3 in the case of the potential with typical for the PFC model and compare it with the works [7, 13, 17, 24].
1.3 Uniform state for the Ohta-Kawasaki energy.
We present now Theorem 1.3 in the case of the Ohta-Kawasaki functional for self-assembly of diblock copolymers (see e.g. [22, 7]). Let be the -dimensional torus and consider the set of periodic configurations of average :
[TABLE]
The Ohta-Kawasaki energy is defined as
[TABLE]
where is a potential and is a constant parameter. The second term in the above functional can be rewritten as
[TABLE]
where is the unique solution of the problem
[TABLE]
The necessary and sufficient condition for the uniform state to be a stable critical point of over is
[TABLE]
Furthermore, the necessary and sufficient condition for the uniform state to be a global minimizer of over is related with the following optimal constant: for the fixed constants and , let
[TABLE]
In the next Proposition, we prove how the optimal constant in (1.11) is related with (1.10). We also provide a sufficient condition in order that is achieved in (1.11).
Proposition 1.4**.**
Let and be fixed constants.
1. If (1.10) holds true, then
[TABLE]
2. If the inequality in (1.10) is strict, then the infimum in (1.11) is achieved provided that . Moreover, the inequality in (1.12) is strict, i.e.,
[TABLE]
We prove the following necessary and sufficient condition for the uniform state to be the (unique) global minimizer of over in the case of the double-well potential .
Theorem 1.5**.**
Let , and .
1. The uniform state is a stable critical point of over if and only if (1.10) holds true.
2. Assume that satisfies in for some constant . Then is a global minimizer of over if (1.10) holds true and
[TABLE]
Moreover, if the inequality in (1.13) is strict, then is the unique global minimizer of over .
3. Assume that has constant -derivative, i.e., in for some constant . If and the inequality in (1.10) is strict, then is not a global minimizer of over provided that (1.13) fails to be true.
2 -convergence result. Proof of Theorem 1.1 and Lemma 1.2.
Proof of Lemma 1.2.
We develop the first integrant in :
[TABLE]
Step 1. Integrating the crossing terms. Using (1.3), integration by parts leads
[TABLE]
Using the periodicity of in and (1.3), integration by parts applied first in direction and then in -direction for yields 555This computation is carried out for smooth in and the result follows for general by a standard density argument.
[TABLE]
so that
[TABLE]
Step 2. We prove that
[TABLE]
Indeed, as is -periodic in -variables, the Fourier series expansion of writes
[TABLE]
where for every and denotes the scalar product in . One computes that
[TABLE]
Then Plancherel’s identity and Jensen’s inequality yield
[TABLE]
which proves the desired inequality since . Note that if , the above infimum equals (and is not achieved by any ); if , the above infimum is achieved for some .
Step 3. Conclusion. We recall the Poincaré inequality for functions on the interval :
[TABLE]
Applying it for for a.e. , we deduce that
[TABLE]
Combined with Steps 1 and 2, we conclude that there exist (all depending on ) such that for every and every we have \inf_{k\in 2\pi{\mathbb{Z}}^{2},k\neq 0}\big{(}\frac{L^{2}\alpha}{|k|^{2}}-1\big{)}^{2}\geq C>0 (thanks to (1.4)) and
[TABLE]
Moreover, by (2.2), we deduce that with and by (2.3), ; the conclusion then follows by (2.1) and the Poincaré-Wirtinger inequality . ∎
Remark 2.1**.**
1. Note that is not in general the whole space of finite energy configurations of the functional in (1.1). Indeed, if for some , then by setting for , we have that . If , it implies that fails to bound as .
2. The coercivity result in Lemma 1.2 holds for more general continuous potentials for which there exist two positive constants such that
[TABLE]
(in particular, (1.5) could fail). The constant (depending on ) needs to satisfy the following bound
[TABLE]
and is such that (1.4) holds true. Indeed, this follows by the proof of Lemma 1.2 combined with
* the Poincaré inequality*
[TABLE]
which follows by the Fourier expansion (2.2) with for every ;
* and the following inequalities*
[TABLE]
(where we used the Jensen and Poincaré-Wirtinger inequalities for ).
Now we prove the -convergence result in Theorem 1.1.
Proof of Theorem 1.1.
We divide the proof in several steps:
Step 1. Proof of point A. (Compactness). By Lemma 1.2, we know that is bounded in ; therefore, up to a subsequence, weakly in . As is compactly embedded in and in , we deduce that the mass constraint passes to the limit (i.e., ) as well as in (up to a subsequence). Moreover, by Lemma 1.2, we know that ; therefore, we deduce that in . We conclude that .
Step 2. Proof of point B. (Lower bound). Since weakly in which is compactly embedded in , we know that up to a subsequence, uniformly in . In particular, uniformly in (because is continuous). As in the proof of Lemma 1.2 (see Step 1), we write
[TABLE]
where . Using the Poincaré inequality (2.3), we know that for large the last two integrals are nonnegative (because , so it is less than the constant in (2.3) as ). Since weakly in , the lower semicontinuity of yields the conclusion.
Step 3. Proof of point C. (Upper bound). Let . We set . If (i.e., ), then (by Lemma 1.2). Otherwise, and
[TABLE]
by dominated convergence theorem (as ). ∎
3 Optimality of the uniform state. Proof of Theorems 1.3 and 1.5.
3.1 The case of the PFC model.
In this section, we give necessary and sufficient conditions on the parameter and on the potential that guarantee the global minimality of the constant state for the -limit over the set . In fact, we will work in the general context of the -dimensional torus
[TABLE]
with and the set of periodic configurations of average :
[TABLE]
The corresponding functional is
[TABLE]
where is a potential, is a constant parameter and is the Laplacian operator in . For the fixed constants and , we denote
[TABLE]
We start by proving the following result that relates the optimal constant in (3.1) with the condition of stability of the uniform state (that is (3.2) below). We also give a sufficient condition in order that the infimum in is achieved in (3.1).
Proposition 3.1**.**
Let and be fixed.
1. If
[TABLE]
then
[TABLE]
2. If the inequality in (3.2) is strict, then the infimum in (3.1) is achieved provided that . Moreover, the inequality in (3.3) is strict, i.e.,
[TABLE]
Proof of Proposition 3.1.
Assume that (3.2) holds true. We divide the proof in several steps:
Step 1. Proof of (3.3). For of zero average on , we write the following Fourier series expansion
[TABLE]
where for and is the scalar product in . By Plancherel’s identity, we have
[TABLE]
which is a nonnegative quantity thanks to (3.2). By the Hölder inequality
[TABLE]
Therefore, one deduces the conclusion in point 1.
For the rest of the proof, we assume that the inequality in (3.2) is strict.
Step 2. Every minimizing sequence in (3.1) is bounded in . Indeed, let be a minimizing sequence in (3.1) with
[TABLE]
i.e.,
[TABLE]
In particular, the above left-hand side is uniformly bounded (from above). Moreover, by Hölder’s inequality, we have that
[TABLE]
As by (3.4) and the strict inequality in (3.2) we already know that
[TABLE]
is positive, we conclude that the above quantity is uniformly bounded from above in . Combined again with (3.4) and the strict inequality in (3.2), we deduce that is bounded in . Therefore, is bounded in , yielding is bounded in and we conclude that is bounded in since
[TABLE]
for a universal constant , for every zero-average periodic function .
Step 3. Existence of a minimizer in (3.1). As is bounded in , we know that up to a subsequence, converges to a function weakly in , a.e. in and strongly in for (by the Sobolev compact embedding provided that ). We conclude that has zero average, , (by Fatou’s lemma) and
[TABLE]
as in , converges weakly in to and the -norm is weakly lower semicontinuous. Thus, is a minimizer in (3.1).
Step 4. Proof of the strict inequality in (3.3). Assume by contradiction that the equality holds in (3.3). By Step 3, (3.1) has a nonvanishing minimizer (as ), so that the above assumption would imply
[TABLE]
By Step 1, all the inequalities in (3.4) and (3.5) become equalities. In particular,
[TABLE]
i.e., a.e. in . As has vanishing average, it means that a.e. in which contradicts the hypothesis . ∎
Remark that 666One inequality comes from (3.5). To prove that is indeed the infimum in (3.6), it is enough to consider the case of dimension : for every , let in and in . Then the sequence
is a minimizing sequence in (3.6) yielding the value for the infimum.
[TABLE]
Therefore, without the hypothesis at point 2. (implying in particular, that is achieved for ), it is not clear how to conclude that the inequality (3.3) is strict in general. Moreover, it may happen that if the equality holds in (3.2), then . Indeed, already in dimension , if we set , (so, the equality holds in (3.2)) and , by normalizing as
[TABLE]
we obtain that and have zero average and has average ; this yields that .
We will prove now the main result which is a generalization of Theorem 1.3:
Theorem 3.2**.**
Let and .
1. The uniform state is a stable critical point of over if and only if (3.2) holds true.
2. Assume that satisfies in for some constant . Then is a global minimizer of over if (3.2) holds true and
[TABLE]
Moreover, if the inequality in (3.7) is strict, then is the unique global minimizer of over .
3. Assume that satisfies in for some constant . If and the inequality in (3.2) is strict, then is not a global minimizer of over provided that (3.7) fails to be true.
Proof of Theorem 3.2.
We divide the proof in several steps:
Step 1. A Fourier expansion. For , we write the following Fourier series expansion
[TABLE]
where for . By Plancherel’s identity, we have
[TABLE]
Step 2. Proof of 1. First, note that is indeed a critical point of over , i.e., satisfies the Euler-Lagrange equation
[TABLE]
Then we compute the second variation of at over : for every test configuration with ,
[TABLE]
By Step 1, we deduce that
[TABLE]
Therefore, if (3.2) holds true, then is a stable point of over . Conversely, if (3.2) fails to be true, set be a minimum of and choosing the test function , we obtain that
[TABLE]
which proves the instability of .
Step 3. If satisfies in for some , then for every ,
[TABLE]
Indeed, since has vanishing average, the Taylor expansion of in leads to
[TABLE]
then (3.9) follows due to .
Step 4. Proof of 2. If , we denote by of vanishing average. Then Steps 1 and 3 yield
[TABLE]
Note that by (3.4) and (3.2), we have that
[TABLE]
We distinguish two cases:
Case 1: . By (3.10), . In particular, we deduce that minimizes over the set of functions with . Moreover, if is another minimizer in this class, then the above inequalities become equalities; in particular, yielding , i.e., (because ). This yields the uniqueness of the minimizer over all functions with of zero average.
Case 2: . Then yielding by (3.1) and (3.7):
[TABLE]
As , it follows that
[TABLE]
We conclude by (3.10) that which implies that is a global minimizer of over . Moreover, if the inequality in (3.7) is strict, we deduce that , in particular, ; therefore yielding the uniqueness of the global minimizer.
Step 5. Proof of point 3. By the assumptions at point 3. combined with Proposition 3.1, we know that the infimum in (3.1) is achieved by some function of zero average with . Within the notations at Step 4, we have for this minimizer in (3.1):
[TABLE]
As (3.7) fails to be true, i.e., , there exists such that . Set . As in , we have the equality in (3.10) and thus
[TABLE]
which proves that is not a global minimizer of over . ∎
Remark 3.3**.**
Let be the double-well potential used in the PFC model with and fix (in particular, (1.4) holds true). Then we can apply Theorems 1.1 and 1.3 with the conditions (1.7) and (3.7) writing as
[TABLE]
where depends on . The above system determines the so-called order/disorder transition curve separating in the plane the region where the uniform state is optimal. Note that the curve found numerically in [13] has the same aspect as the above parabola. In [24], the sufficient condition was found analytically which is a subregion in our result because by Proposition 3.1 we proved that
[TABLE]
whenever . As our condition (3.11) is necessary and sufficient, we conclude that this is the exact region separating the regime of trivial minimizers from non-trivial ones.
Remark 3.4**.**
A challenging question is to determine the curve separating the parameter region where every global minimizer of over is one-dimensional (that corresponds in particular to the region where stripes structures nucleate in the system, see e.g. [13, 24]). (This question is related to the well-known conjecture of De Giorgi for minimal surfaces.) Very few analytical results are available: we mention in particular the result in [6] for the one-dimensional symmetry in the extended Fisher-Kolmogorov model in . Also, the results in [19] for the one-dimensional symmetry in the Aviles-Giga type models in (recall that in -dimensions, the standard Aviles-Giga model can be seen as a forth order problem in the stream function corresponding to the order parameter, see [1, 2, 3, 20]).
3.2 The case of the Ohta-Kawasaki model.
Proof of Proposition 1.4.
In terms of the Fourier representation of a function of zero average, i.e.,
[TABLE]
where for , we write
[TABLE]
Therefore,
[TABLE]
which is nonnegative thanks to (1.10). The conclusion follows by the same argument as in the proof of Proposition 3.1. The only difference consists in the fact that minimizing sequences in (1.11) are bounded in (instead of as in the case of PFC model); therefore, we need the compact embedding for provided that and one also uses the compact embedding . ∎
Proof of Theorem 1.5.
We start by noting that is a critical point of the Ohta-Kawasaki functional over , i.e., satisfies the Euler-Lagrange equation
[TABLE]
where is the solution of (1.9) associated to the critical point (obviously, if ). The second variation of at a critical point is given for every test configuration with :
[TABLE]
By (3.12), the conclusion of point 1. follows. For points 2. and 3., if , we write the Fourier representation
[TABLE]
where for . Denoting of vanishing average, by (3.9), we obtain that
[TABLE]
and being the same as in (3.10). The conclusion of points 2. and 3. follows by the same argument as in the proof of Theorem 3.2. ∎
Acknowledgment.
The authors thank Xavier Lamy for useful comments. R.I. acknowledges partial support by the ANR project ANR-14-CE25-0009-01.
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