This paper extends multiscale periodic homogenization to Orlicz-Sobolev spaces, demonstrating convergence of minimizers of oscillatory problems to those of a homogenized convex functional using reiterated two-scale convergence.
Contribution
It introduces a novel homogenization framework for convex functionals with nonstandard growth in Orlicz-Sobolev spaces using reiterated two-scale convergence.
Findings
01
Convergence of minimizers to homogenized problem
02
Extension of homogenization to Orlicz-Sobolev setting
03
Use of reiterated two-scale convergence method
Abstract
Multiscale periodic homogenization is extended to an Orlicz-Sobolev setting. It is shown by the reiteraded periodic two-scale convergence method that the sequence of minimizers of a class of highly oscillatory minimizations problems involving convex functionals, converges to the minimizers of a homogenized problem with a suitable convex function.
B(k∣uε(x)∣)≤B(k∥u(x)∥∞), for all k>0, for all x∈Ω.
B(k∣uε(x)∣)≤B(k∥u(x)∥∞), for all k>0, for all x∈Ω.
∥uε∥LB(Ω)≤∥u∥LB(Ω;Cb(RyN×RzN)).
∥uε∥LB(Ω)≤∥u∥LB(Ω;Cb(RyN×RzN)).
tε:u→uε
tε:u→uε
∥uε∥LB(Ω)≤∥u∥LB(Ω;Cb(RyN×RzN)), for all u∈LB(Ω;(V)).
∥uε∥LB(Ω)≤∥u∥LB(Ω;Cb(RyN×RzN)), for all u∈LB(Ω;(V)).
u→M(u):=∬Y×Zu(x,y)dxdy.
u→M(u):=∬Y×Zu(x,y)dxdy.
\displaystyle\Xi^{B}\left(\mathbb{R}_{y}^{N};\mathcal{C}_{b}\right):=\Big{\{}u\in L_{loc}^{B}\left(\mathbb{R}_{x}^{N};C_{b}\left(\mathbb{R}_{z}^{N}\right)\right):\hbox{for every }U\in{\mathcal{A}}(\mathbb{R}^{N}_{x}):
\displaystyle\Xi^{B}\left(\mathbb{R}_{y}^{N};\mathcal{C}_{b}\right):=\Big{\{}u\in L_{loc}^{B}\left(\mathbb{R}_{x}^{N};C_{b}\left(\mathbb{R}_{z}^{N}\right)\right):\hbox{for every }U\in{\mathcal{A}}(\mathbb{R}^{N}_{x}):
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Composite Material Mechanics · Advanced Numerical Methods in Computational Mathematics
Full text
Reiterated periodic homogenization of integral functionals with convex and nonstandard growth integrands.
Joel Fotso Tachago
University of Bamenda
Faculty of Science, Higher Teachers Training College Mathematics department,
Multiscale periodic homogenization is extended to an Orlicz-Sobolev setting. It
is shown by the reiteraded periodic two-scale convergence method that the
sequence of minimizers of a class of highly oscillatory minimizations
problems involving convex functionals, converges to the minimizers of a
homogenized problem with a suitable convex function.
The method of two-scale convergence introduced by Nguetseng [34] and later developed by Allaire [2] have been widely adopted in homogenization of PDEs in classical Sobolev spaces
neglecting materials where microstructure cannot be conveniently captured by modeling exclusively by means of thoses spaces. Recently in [21] some of the above methods were extended to Orlicz-Sobolev setting. On the other hand, an increasing
number of works in homogenization and dimension reduction (see [25, 26, 27, 28, 29, 30, 31, 37], among the others)
are devoted to deal with this more general setting. We also refer to [41, 42, 43] for two scale homogenization in variable exponent spaces, which also evidence Lavrentieff phenomena.
In order to model multiscale phenomena, i.e., to provide homogenization results closer to reality, more than two-scales should be
considered. Indeed the aim of this work is to show that the two-scale
convergence method can be extended and generalized to tackle reiterated homogenization problems in the Orlicz-Sobolev setting.
In details, we intend to study the asymptotic behaviour as ε→0+ of the sequence of
solutions of the problem
[TABLE]
where, for each ε>0, the functional Fε is
defined on W01LB(Ω) by
[TABLE]
Ω being a bounded open set in RxN,n,N∈N, D denoting the
gradient operator in Ω with respect to x and the function
f:RyN×RzN×RnN→[0,+∞) being an integrand, that satisfies the
following hypotheses:
(H1) for all λ∈RN,f(⋅,z,λ) is measurable for all z∈RN and f(y,⋅,λ) is continuous for almost all y∈RN;
(H2)f(y,z,⋅) is strictly convex for a.e. y∈RyN and all z∈RzN;
(H3) for each (k,k′)∈Z2N we have f(y+k,z+k′,λ)=f(y,z,λ) for all (z,λ)∈RzN×RN and a.e. y∈RyN;
(H4) there exist two constants c1,c2>0 such that:
[TABLE]
for all λ∈RnNand for a.e. y∈RyN and all z∈RzN.
We observe that problems of the type (1) have been studied by many
authors in many contexts (see, among the others, [2, 3, 4, 5, 6, 7, 8, 10, 11, 17, 18, 20, 22, 33, 39].
But in all the above papers the
two-scale approach or other methods (see in particular unfolding) have been always considered in classical Sobolev setting. The novelty here is the multiscale approach beyond classical Sobolev
spaces. For the sake of exposition we consider the scales ε and ε2, but more general choices are possible, as in [3].
In particular we introduce the following setting.
Let B an N−function and B its conjugate both verifying the △2 condition, let Ω be a bounded open set in RxN,Y=Z=(−21,21)N,N∈N and ε any sequence of positive numbers converging to [math]. Assume that (uε)ε is bounded in W1LB(Ω). Then, there exist not relabelled subsequences ε,(uε)ε,u0∈W1LB(Ω),
[TABLE]
such that: uε⇀u0 in W1LB(Ω) weakly, and
[TABLE]
1≤i≤N, and for all φ∈LB(Ω;Cper(Y×Z)), where Dxi,Dyi and Dzi denote the distributional derivatives with respect to the variables xi.yi,zi, also denoted by ∂xi∂, ∂yi∂ and ∂zi∂, respectively (see Section 2 for detailed notations and Definition 2.1 and Proposition 2.5 for rigorous results).
Next, we define, following the same type of notation adopted in [21], the space
[TABLE]
where
[TABLE]
Observe that Dx,Dy and Dz denote the vector of distributional derivatives with respect to x≡(x1,…,xN), y≡(y!,…,yN) and z≡(z1,…,zN) respectively.
We equip F01LB with the norm ∥u∥F01LB=∥Du0∥B,Ω+∥Dyu1∥B,Ω×Y+∥Dzu2∥B,Ω×Y×Z, u=(u0,u1,u2)∈F01LB which makes it a
Banach space.
Finally for v=(v0,v1,v2)∈F01LB, denote by Dv, the sum Dv0+Dyv1+Dzv2 and define the functional F:F01LB→R+ by
[TABLE]
With the tool of multiscale convergence at hand in the Orlicz-Sobolev setting, we prove
Theorem 1.1
Let Ω be a bounded open set in RxN and let f:RyN×RzN×RN→[0,+∞) be an integrand satisfying (H1)−(H4).
For each ε>0, let uε be the unique solution of
(1), then as ε→0,
(a)
uε⇀u0* weakly in W01LB(Ω);*
(b)
Duε⇀Du=Du0+Dyu1+Dzu2* weakly reiteratively two-scale in LB(Ω)N−, where u=(u0,u1,u2)∈F01LB is the unique solution of the minimization problem*
[TABLE]
where F01LB and F are as in (3) and (5), respectively.
The paper is organized as follows, Section 2 deals with notations, preliminary results on Orlicz-Sobolev spaces, introduction of suitable function spaces to deal with multiple scales homogenization, and compactness result for reiterated two-scale convergence, while Section 3 contains the main results devoted to the proof of Theorem 1.1, together with Corollary 3.3 which allows to recast the main result in the framework of Γ convergence (see also [23] for the single scale case).
2 Notation and Preliminaries
In what follows X and
V denote a locally compact space and a Banach space, respectively, and
C(X;V) stands for the space of continuous functions from X into V , and
Cb(X;V) stands for those functions in C(X;F) that are bounded. The space Cb(X;V) is enodowed with the supremum norm ∥u∥∞=supx∈X∥u(x)∥ , where
∥\textperiodcentered∥ denotes the norm in V, (in particular, given an open set A⊂RN by Cb(A) we denote the space of real valued continuous and bounded functions defined in A). Likewise the spaces Lp(X;V) and Llocp(X;V)
(X provided with a positive Radon measure) are denoted by Lp(X) and
Llocp(X), respectively, when V=R (we refer to [12, 13, 15] for integration theory).
In the sequel we denote by Y and Z two identical copies of the cube ]−1/2,1/2[N.
In order to enlighten the space variable under consideration we will adopt the notation RxN,RyN, or RzN to indicate where x,y or z belong to.
The family of open subsets in RxN will be denoted by A(RxN).
For any subset E of Rm, m∈N, by E, we denote its closure in the relative topology.
For every x∈RN we denote by [x] its integer part, namely the vector in ZN, which has as component the integer parts of the components of x.
By LN we denote the Lebesgue measure in RN.
2.1 Orlicz-Sobolev spaces
Let B:[0,+∞[→[0,+∞[ be an N−function [1], i.e., B is continuous, convex, with B(t)>0 for t>0,tB(t)→0 as t→0, and tB(t)→∞ as t→∞.
Equivalently, B is of the form B(t)=∫0tb(τ)dτ, where b:[0,+∞[→[0,+∞[ is non decreasing, right continuous,
with b(0)=0,b(t)>0 if t>0 and b(t)→+∞ if t→+∞.
We denote by B, the complementary N−function of B defined by B(t)=sups≥0{st−B(s),t≥0} . It follows
that
[TABLE]
[TABLE]
An N−function B is of class △2 (denoted B∈△2) if there are α>0 and t0≥0 such that B(2t)≤αB(t) for all t≥t0.
In all what
follows B and B are conjugates N−functions
satisfying the △2 (delta-2) condition and c refer to a constant. Let Ω be a
bounded open set in RN,(N∈N). The Orlicz-space
[TABLE]
is a Banach space for the Luxemburg norm:
[TABLE]
It follows
that: D(Ω) is dense in LB(Ω),LB(Ω) is separable and reflexive, the dual
of LB(Ω) is identified with LB(Ω), and the norm on LB(Ω)
is equivalent to ∥⋅∥B,Ω.
We will denote the norm of elements in LB(Ω), both by ∥⋅∥LB(Ω) and with ∥⋅∥B,Ω, the latter symbol being useful when we want emphasize the domain Ω.
Futhermore, it is also convenient to recall that:
(i)
∫Ωu(x)v(x)dx≤2∥u∥B,Ω∥v∥B,Ω for u∈LB(Ω) and v∈LB(Ω),
(ii)
given v∈LB(Ω) the linear functional Lv on LB(Ω) defined by Lv(u)=∫Ωu(x)v(x)dx,(u∈LB(Ω)) belongs to the dual [LB(Ω)]′=LB(Ω) with ∥v∥B,Ω≤∥Lv∥[LB(Ω)]′≤2∥v∥B,Ω,
(iii)
the property limt→+∞tB(t)=+∞
implies LB(Ω)⊂L1(Ω)⊂Lloc1(Ω)⊂D′(Ω), each embedding being continuous.
For the sake of notations, given any d∈N, when u:Ω→Rd, such that each component (ui), of u, lies in LB(Ω)
we will denote the norm of u with the symbol ∥u∥LB(Ω)d:=∑i=1d∥ui∥B,Ω.
Analogously one can define the Orlicz-Sobolev functional space as follows:
W1LB(Ω)={u∈LB(Ω):∂xi∂u∈LB(Ω),1≤i≤d}, where derivatives are taken in the distributional sense on Ω. Endowed with the norm ∥u∥W1LB(Ω)=∥u∥B,Ω+∑i=1d∂xi∂uB,Ω,u∈W1LB(Ω),W1LB(Ω) is
a reflexive Banach space. We denote by W01LB(Ω), the closure of D(Ω) in W1LB(Ω) and the semi-norm u→∥u∥W01LB(Ω)=∥Du∥B,Ω=∑i=1d∂xi∂uB,Ω is a norm on W01LB(Ω) equivalent to ∥⋅∥W1LB(Ω).
By W#1LB(Y), we denote the space of functions u∈W1LB(Y) such that ∫Yu(y)dy=0. It is endowed with the gradient norm.
Given a function space S defined in Y, Z or Y×Z, the subscript Sper means that the functions are periodic in Y, Z or Y×Z, as it will be clear from the context. In particular Cper(Y×Z) denote the space of periodic functions in C(RyN×RzN), i.e. that verify w(y+k,z+h)=w(y,z) for (y,z)∈RN×RN
and (k,h)∈ZN×ZN. Cper∞(Y×Z)=Cper(Y×Z)∩C∞(RyN×RN), and Lperp(Y×Z) is the space of
Y×Z -periodic functions in Llocp(RyN×RzN).
2.2 Fundamentals of reiterated homogenization in Orlicz spaces
This subection is devoted to show some results which are useful for an explicit construction of reiterated multiscale convergence in the Orlicz setting. Indeed all the definitions are given starting from spaces of regular functions, then several norms are introduced together with proofs of functions spaces’ properties.
On the other hand we will not present neither arguments which are very similar to the ones used to deal with standard two scale convergence in the Orlichz setting, nor those related to reiterated two-scale convergence in the standard Sobolev setting (for the latter we refer to [24, Sections 2 and 4]).
We start by defining rigorously the traces of the form u(x,εx,ε2x),x∈Ω,ε>0.
We will consider several cases, according to the regularity of u.
*Case 1: *u∈C(Ω×RyN×RzN)
We define
[TABLE]
Obviously uε∈C(Ω). We define the trace operator of order ε>0,(tε) by
[TABLE]
It results that the operator tε in (7) is linear and continuous.
*Case 2: *u∈C(Ω;Cb(RyN×RzN)).
C(Ω;Cb(RyN×RzN))⊂C(Ω;C(RyN×RzN))=C(Ω×RyN×RzN). We can then consider C(Ω;Cb(RyN×RzN)) as a subspace of C(Ω×RyN×RzN). Since Ω is compact in RxN, then uε∈Cb(Ω) and
the above operator can be considered from C(Ω;Cb(RyN×RzN)) to Cb(Ω),
as linear and continuous.
*Case 3: *u∈LB(Ω;V) where V is a closed vector subspace of Cb(RyN×RzN).
Recall that u∈LB(Ω;V) means the function x\rightarrow\left\|u\left(x\right)\right\|_{\infty}\ \ \from Ω into R belongs to LB(Ω) and
[TABLE]
Let u∈C(Ω;Cb(RyN×RzN)), then ∣uε(x)∣=u(x,εx,ε2x)≤∥u(x)∥∞. As N−functions are non decreasing we deduce that:
[TABLE]
Hence we get ∫ΩB(k∣uε(x)∣)dx≤∫ΩB(k∥u(x)∥∞)dx, thus ∫ΩB(k∥u(x)∥∞)dx≤1⟹∫ΩB(k∣uε(x)∣)dx≤1, that is,
[TABLE]
Therefore the trace operator u→uε from C(Ω;V) into LB(Ω), extends by
density and continuity to a unique operator from LB(Ω;Cb(V)).
It will be still denoted by
[TABLE]
and it verifies:
[TABLE]
In order to deal with reiterated multiscale convergence we need to have good definition for the measurability of test functions, so we should ensure measurability for the trace of elements u∈L∞(RyN;Cb(RzN)) and u∈C(Ω;L∞(RyN;Cb(RzN))), but we omit these proofs, referring to [24, Section 2].
Let M:Cper(Y×Z)→R be the mean value functional (or equivalently ’averaging operator’) defined as
[TABLE]
It results that
(i)
M is nonnegative, i.e. M(u)≥0 for all u∈Cper(Y×Z),u≥0;
(ii)
M is continuous on Cper(Y×Z) (for the sup norm);
(iii)
M(1)=1;
(iv)
M is translation invariant.
In the same spirit of [24], for the given N−function B, we define ΞB(RyN;Cb(RzN)) or simply ΞB(RyN;Cb) the following space
[TABLE]
Hence putting
[TABLE]
with BN(0,1) being the unit ball of RxN centered at the origin, we have a norm on ΞB(RyN;Cb(RzN)) which makes it a Banach space.
We also denote by XperB(RyN;Cb) the closure of Cper(Y×Z) in ΞB(RyN;Cb).
Recall that LperB(Y×Z)
denotes the space of functions in LlocB(RyN×RzN) which are Y×Z-periodic.
Clearly ∥⋅∥B,Y×Z is a norm on LperB(Y×Z), namely it suffices to consider the LB norm just on the unit period.
Let u∈Cper(Y×Z) , we have
[TABLE]
The following result, useful to prove estimates which involve test functions on oscillating arguments (see for instance Proposition 2.2), is a preliminary instrument which aims at comparing the LB norm in Y×Z with the one in (11).
Lemma 2.1
There exists C∈R+ such that ∥uε∥B,BN(0,1)≤C∥u∥B,Y×Z, for every 0<ε≤1, and u∈XperB(RyN;Cb),
Proof. Let ε>0.
We start observing that we can always find a compact set H⊂RN (independent on ε) such that
[TABLE]
where
Zε2={k∈ZN:ε2(k+Z)∩BN(0,1)=∅}.
Define also BN,ε2:=int(⋃k∈Zε2ε2(k+Z)). BN(0,1)⊂BN,ε2.
Thus
[TABLE]
where we have used the change of variables x=ε2(ki+z), in each cube ε2(ki+Z), the periodicity of u in the second variable, the fact that we can cover BN(0,1) with a finite number of cubes ε2(ki+Z), depending on ε2 and denoted by n(ε2).
Since [ε2x]=ki and [z]=0 for every x∈ε2(ki+Z) and z∈Z and LN(ε2(ki+Z))=ε2N, we can write
[TABLE]
where in the third line above we have used the fact that εx=ε[ε2x]+εz.
Now, making again another change of variable of the same type, i.e. y+hi=x/ε, after a covering of BN,ε2 made by ⋃hi∈Zεε(hi+Y), where Zε={h∈ZN:ε(h+Y)∩BN,ε2=∅} we have
[TABLE]
Up to another choice of 0<ε0≤1, we can observe that, given ε<ε0, BN(0,1)⊂BN,ε2 and also BN(0,1)⊂∪i=1n(ε)ε(hi+Y).
On the other hand there is a compact H, which contains ∪i=1n(ε)ε(hi+Y) and whose measure satisfies the following inequality LN(H)≥∑i=1n(ε)εN.
Essentially repeating the same above computations, we have for every k∈R+, and 0<ε≤ε0 and u∈LperB(Y×Z)
:
[TABLE]
For k=∥u∥B,Y×Z
using the convexity of B, and the fact that B(0)=0, we get:
[TABLE]
where the non decreasing behavour of B has been exploited. Therefore, by the definition of norm in BN(0,1), ∥uε∥B,BN(0,1)≤(1+LN(H))∥u∥B,Y×Z.
Lemma 2.2
The mean value operator M defined on Cper(Y×Z) by (9)
can be
extended by continuity to a unique linear and continuous functional denoted in
the same way from XperB(RyN;Cb) to R such that
•
M* is non negative, i.e. for all u∈XperB(RyN;Cb),u≥0⟹M(u)≥0,*
•
M* is translation invariant.*
Proof. It is a consequence of the very defintions (2.2) and of XperB(RyN;Cb), of the density of Cper(Y×Z) in XperB(RyN;Cb), of the continuity of M on XperB(RyN;Cb) and of the continuity of v→vε from XperB(RyN;Cb) to LB(Ω), (see (8)).
Now we endow XperB(RyN;Cb) with another norm. Indeed we define XperB(RyN×RzN) the closure of Cper(Y×Z)
in LlocB(RyN×RzN) with the norm
[TABLE]
Via Riemann-Lebesgue lemma the above norm is equivalent to
∥u∥LB(Y×Z), thus in the sequel we will consider this one.
For the sake of completeness, we state the following result which proves that the latter norm is controlled by the one defined in (11), thus together with Lemma 2.1, it provides the eqivalence among the introduced norms in XperB(RyN;Cb).
The proof is postponed in the Appendix.
Proposition 2.1
It results that
XperB(RyN;Cb)⊂LperB(Y×Z)=XperB(RyN×RzN) and ∥u∥B,Y×Z≤c∥u∥ΞB(RyN;Cb(RzN)) for all u∈XperB(RyN;Cb).
2.3 Reiterated two-scale convergence in Orlicz spaces
Generalizing definitions in [21, 24, 38] we introduce
[TABLE]
We are in position to define reiterated two-scale convergence:
Definition 2.1
A sequence of functions (uε)ε⊆LB(Ω) is said to be:
weakly reiteratively two-scale convergent in LB(Ω)
to a function u0∈LperB(Ω×Y×Z) if
[TABLE]
as ε→0,
-
strongly reiteratively two-scale convergent in LB(Ω) to u0∈LperB(Ω×Y×Z) if for η>0 and f∈LB(Ω;Cper(Y×Z)) verifying ∥u0−f∥B,Ω×Y×Z≤2η there exists ρ>0 such that ∥uε−fε∥B,Ω≤η for all 0<ε≤ρ.
When (12) happens we denote it by "uε⇀u0 in LB(Ω)− weakly reiteratively two-scale "
and we will say that
u0 is the weak reiterated two-scale limit in LB(Ω) of the sequence (uε)ε.
Remark 2.1
The above definition extends in a canonical way, arguing in components, to vector valued functions.
Lemma 2.3
If u∈LB(Ω;Cper(Y×Z)) then uε⇀u in LB(Ω) weakly reiteratively two-scale, and we have ε→0lim∥uε∥B,Ω=∥u∥B,Ω×Y×Z
Proof. Let u∈LB(Ω;Cper(Y×Z)) and f∈LB(Ω;Cper(Y×Z)) then uf∈L1(Ω;Cper(Y×Z)) and
[TABLE]
Similary for all δ>0,B(δu)∈L1(Ω;Cper(Y×Z)) and the result follows.
We are in position of proving a first sequential compactness result.
Proposition 2.2
Given a bounded sequence (uε)ε⊂LB(Ω), one can extract a not relabelled subsequence such that (uε)ε is
weakly reiteratively two-scale convergent in LB(Ω).
Proof. For ε>0, set Lε(ψ)=∫Ωuε(x)ψ(x,εx,ε2x)dx,ψ∈LB(Ω;Cper(Y×Z)). Clearly Lε is a linear form and we have
[TABLE]
for a constant
c independent on ε and ψ. Thus (Lε)ε is bounded in [LB(Ω;Cper(Y×Z))]′. Since LB(Ω;Cper(Y×Z)) is a separable Banach space, we can
extract a not relabelled subsequence, such that, as ε→0,
[TABLE]
In order to characterize L0 note that (13) ensures
[TABLE]
Recalling that LB(Ω;Cper(Y×Z)) is dense in LperB(Ω×Y×Z),L0
can be extended by continuity to an element of [LperB(Ω×Y×Z)]′=LperB(Ω×Y×Z). Thus there exist u0∈LperB(Ω×Y×Z) such that
[TABLE]
for all ψ∈LB(Ω;Cper(Y×Z)).
The proof of the following results are omitted, since they are consequence of ’standard’ density results and are very similar to the (non reiterated) two-scale case (see for instance [21]).
Proposition 2.3
If a sequence (uε)ε is weakly
reiteratively two-scale convergent in LB(Ω)
to u0∈LperB(Ω×Y×Z) then
(i)
uε⇀∫Zu0(⋅,⋅,z)dz* in LB(Ω) weakly two-scale,
and*
(ii)
uε⇀u0* in LB(Ω)-weakly as ε→0 where u0(x)=∬Y×Zu0(x,⋅,⋅)dydz.*
Proposition 2.4
Let XperB,∞(RyN;Cb):=XperB(RyN;Cb)∩L∞(RyN×RzN).
If a sequence (uε)ε is
weakly reiteratively two-scale convergent in LB(Ω)
to u0∈LperB(Ω×Y×Z) we also have
∫Ωuεfεdx→∭Ω×Y×Zu0fdxdydz, for all f∈C(Ω)⊗XperB,∞(RyN;Cb).
Corollary 2.1
Let v∈C(Ω;XperB,∞(RyN;Cb)). Then vε⇀v in LB(Ω)- weakly reiteratively two-scale as ε→0.
Remark 2.2
(1)
If v∈LB(Ω;Cper(Y×Z)), then vε→v in LB(Ω)-strongly reiteratively two-scale as ε→0.
(2)
If (uε)ε⊂LB(Ω) is strongly reiteratively two-scale convergent in LB(Ω) to u0∈LperB(Ω×Y×Z) then
(i)
uε⇀u0* in LB(Ω) weakly reiteratively two-scale as ε→0;*
(ii)
∥uε∥B,Ω→∥u0∥B,Ω×Y×Z* as ε→0.*
The following result is crucial to provide a notion of weakly reiterated two-scale convergence in Orlicz-Sobolev spaces and for the sequential compactness result on W1LB(Ω). It extends and presents an alternative proof of [21, Theorem 4.1].
To this end, recall first that Lper1(Y;W#1LB(Z)) denotes the space of functions u∈Lper1(Y×Z), such that u(y,⋅)∈W#1LB(Z), for a.e. y∈Y.
Proposition 2.5
Let Ω be a bounded open set in RxN, and (uε)ε bounded in W1LB(Ω).
There exist a not relabelled subsequence, u0∈W1LB(Ω),(u1,u2)∈L1(Ω;W#1LB(Y))×L1(Ω;Lper1(Y;W#1LB(Z))) such that:
(i)
uε⇀u0* weakly reiteratively two-scale in LB(Ω),*
(ii)
Dxiuε⇀Dxiu0+Dyiu1+Dziu2* weakly reiteratively two-scale in LB(Ω), 1≤i≤N,*
as ε→0.
Corollary 2.2
If (uε)ε is such thatuε⇀v0 weakly reiteratively two-scale in W1LB(Ω), we have:
(i)
uε⇀∫Zv0(⋅,⋅,z)dz* weakly two-scale in W1LB(Ω),*
(ii)
uε⇀v0* in W1LB(Ω)-weakly, where v0(x)=∬Y×Zv0(x,⋅,⋅)dydz.*
Proof of Proposition 2.5.
We recall that : LB(Ω1×Ω2)⊂L1(Ω1;LB(Ω2)).
Moreover since B satisfies △2, there exist q>p>1 such that: Lq(Ω)↪LB(Ω)↪Lp(Ω),
(relying on [16, Proposition 2.4] (see also [9, Proposition 3.5] ) and a standard argument based on decreasing rearrangements), where the arrows stand for continuous embedding.
Let (uε)ε be bounded in LB(Ω). Then it is bounded in Lp(Ω) and we have:
(i)
uε⇀U0 weakly reiteratively two-scale in LB(Ω),
(ii)
uε⇀u0 in W1LB(Ω),
(i)’
uε⇀U0′ weakly reiteratively two-scale in Lp(Ω),
(ii)’
uε⇀u0′ in W1,p(Ω).
By classical results (see for instance [3] and [20]), we know that
[TABLE]
on the other hand, using W1,p(Ω)-weak↪D′(Ω)−weak and W1LB(Ω)-weak↪D′(Ω)−weak, we deduce that u0′=u0∈W1LB(Ω).
Moreover, since Lp′(Ω)↪LB~(Ω), it results then Lp′(Ω;Cper(Y×Z))⊂LB(Ω;Cper(Y×Z)), thus
[TABLE]
thus
[TABLE]
We also have
(iii)
Dxiuε⇀w~ weakly reiteratively two-scale in LB(Ω), 1≤i≤N,
(iii)’
Dxiuε⇀Dxiu0+Dyiu1+Dziu2 weakly reiteratively two-scale in Lp(Ω), 1≤i≤N, with (u1,u2)∈Lperp(Ω;W#1,p(Y))×Lp(Ω;Lperp(Y;W#1,p(Z))) (see [3] and [20]).
Arguing in components, as done above, we are lead to conclude that
[TABLE]
and Dxiu0∈LB(Ω)⊂LperB(Ω×Y×Z), as u0∈W1LB(Ω). Therefore w~−Dxiu0=Dyiu1+Dziu2∈LperB(Ω×Y×Z).
By Jensen’s inequality, B(∫Z∣w~∣dz)≤(∫ZB(∣w~∣)dz) then
[TABLE]
Since B satisfies △2, ∫Zw~dz=Dxiu0+Dyiu1∈LperB(Ω×Y) with Dxiu0∈LB(Ω)⊂LperB(Ω×Y).
Therefore ∫Zw~dz−Dxiu0=Dyiu1∈LperB(Ω×Y)⊂L1(Ω;LperB(Y)).
On the other hand
u1∈Lperp(Ω;W#1,p(Y)), i.e. for almost all x,u1(x,⋅)∈W#1,p(Y)={v∈Wper1,p(Y):∫Yvdy=0} and
Dyiu1(x,⋅)∈LperB(Y).
In particular u1(x,⋅)∈Lperp(Y)⊂Lper1(Y).
To complete the proof it remains to show that every v∈Lp(Y) with Dyiv∈LperB(Y) is in LperB(Y).
Set u=u−M(u)+M(u), where M is the averaging operator in (9). Then, by Poincaré inequality, it results
[TABLE]
The last inequality being consequence of the fact that t→0limB(t)=0,∃c1>0,B(c11)<1. Hence,
∫YB((1+∣M(u)∣)c1∣M(u)∣)dy≤∫YB(c11)dy≤1; that is ∥M(u)∥B,Y≤(1+∣M(u)∣)c1=(1+∫Yudy)c1≤c1(1+∥u∥L1(Y)).
Thus we can conclude that u1∈Lper1(Ω;W#1LB(Y)).
For what concerns u2 we can argue in a similar way. Recall that
[TABLE]
So Dziu2=w~−(Dxiu0+Dyiu1)∈LperB(Ω×Y×Z)⊂L1(Ω;Lper1(Y;LB(Z))), thus Dziu2(x,y,⋅)∈LperB(Z) for almost all (x,y)∈Ω×RyN;∫Zu2(x,y,⋅)dz=0 as u2(x,y,⋅)∈W#1,p(Z). Consequently, since u2(x,y,⋅)∈Lperp(Z)⊂Lper1(Z),Dziu2(x,y,⋅)∈LperB(Z), exploiting Poincare’ inequality with the averaging operator M, as done above, it results that
u2(x,y,⋅)∈W#1LB(Z).
Since
Lp(Ω;Lperp(Y;W#1,p(Z)))=Lperp(Ω×Y;W#1,p(Z))⊂
Lper1(Ω×Y;W#1,p(Z))=L1(Ω;Lper1(Y;W#1,p(Z))), we deduce that u2∈Lper1(Ω;L1(Y;W#1LB(Z))).
In view of the next applications, we underline that, under the assumptions of the above proposition, the canonical injection W1LB(Ω)↪LB(Ω)
is compact.
3 Homogenization of integral energies with
convex and non standard growth
In this section we study the asymptotic behaviour of (1) under the assumptions (H1)−(H4), stated above.
We start by recalling the properties satisfied by Fε in (2).
Since the function f in (2) is convex in the last argument and satisfies (H4), it results that (cf. [21]) there exists a constant c>0 such that:
[TABLE]
for all λ,μ∈RnN and for a.e. y∈RyN and for all z∈RzN.
Hence for fixed ε>0 and for v∈W01LB(Ω;RnN), the function x↦f(εx,ε2x,v(x)) from Ω into R+ denoted by fε(⋅,⋅,v), is well defined as an element of L1(Ω) and it results (arguing as in [21, Proposition 3.1])
[TABLE]
Moreover, (H4) ensures that for v∈W01LB(Ω;Rn) such that ∥Dv∥(LB(Ω))nN≥1, we have
[TABLE]
Consequently it results that Fε is
continuous, strictly convex and coercive thus there exists a unique uε∈W01LB(Ω) solution of the minimization problem v∈W01LB(Ω)minFε(v), i.e.
[TABLE]
Let ψ∈C(Ω;Cper(Y×Z))N. For fixed x∈Ω the function (y,z)∈RyN×RzN↦f(y,z,ψ(x,y,z))∈R+ denoted by f(⋅,⋅,ψ(x,⋅,⋅)) lies in L∞(RyN;Cb(RzN)). Hence one can define the function x∈Ω↦f(⋅,⋅,ψ(x,⋅,⋅))
and denote it by f(⋅,⋅,ψ)) as
element of C(Ω;L∞(RyN;Cb(RzN))).
Therefore, for fixed ε>0,
the function x↦f(εx,ε2x,ψ(x,εx,ε2x)) denoted by fε(⋅,⋅,ψε) is an element of L∞(Ω). Moreover, in view of the periodicity of f(⋅,⋅,ψ), which is
in C(Ω;Lper∞(Y;Cper∞(Z))) for all ψ∈C(Ω;Cper(Y×Z))N, the following result holds:
Proposition 3.1
For every v∈C(Ω;Cper(Y×Z))N one has
[TABLE]
Futhermore, the mapping v∈C(Ω;Cper(Y×Z))N↦f(⋅,⋅,v)∈Lper1(Ω×Y×Z) extends by continuity to a mapping still denoted by v↦f(⋅,⋅,v) from (LperB(Ω×Y×Z))N into Lper1(Ω×Y×Z) such that:
[TABLE]
for all v,w∈(LperB(Ω×Y×Z))N .
Proof. It is a simple adaptations of the proof of [21, Proposition 5.1], relying in turn on Corollary 2.1. Moreover (16) follows by (14) and by arguments identical to those used to deduce (15), and omitted here since already presented in [21, Proposition 3.1], which in turn require the application of Lemma 2.1
Corollary 3.1
Let ϕε(x):=ψ0+εψ1(x,εx)+ε2ψ1(x,εx,ε2x) for x∈Ω, where ψ0∈C0∞(Ω),ψ1∈[C0∞(Ω)⊗Cper∞(Y)]and ψ2∈[C0∞(Ω)⊗Cper∞(Y)⊗Cper∞(Z)], then, as ε→0,
[TABLE]
Proof. It is a simple adaptations of [21, Corollary 5.1], relying on (14) and (15), observing that
fε(⋅,⋅,(Dψ0+Dyψ1+Dzψ2)ε)∈C(Ω;XperB,∞(RyN;Cb)) and Corollary 2.1 applies.
Now, we observe that, thanks to the density of D(Ω) in W01LB(Ω), of Cper∞(Y)/R in W#1LperB(Y) and that of Cper∞(Y)⊗Cper∞(Z)/R in Lper1(Y;W#1LB(Z)), the space
[TABLE]
is dense in F01LB.
By hypotheses (H1)−(H4), it is easily seen that the following result holds
Lemma 3.1
There exists a unique u=(u0,u1,u2)∈F01LB such that u solves (6).
This subsection is devoted to provide an application of reiterated two-scale convergence to the study of minimum problems involving integral functionals, i.e. to prove Theorem 1.1.
The proof will be achieved by means of several steps. First, following the same strategy in [36], (see also [32]) we regularize the integrands in order to get an approximating family of differentiable
integrands with some extra properties which will be detailed in the sequel.
Let f:RN×RN×RnN→R be such that (H1)−(H4) hold.
Set
[TABLE]
where θm is a symmetric mollifier, namely θm∈D(RnN)(integer m≥1) with 0≤θm,supp(θm)⊂m1BnN(0,1),
(BnN(0,1) being the open unit ball in RnN, and ∫BnN(0,1)θm(η)dη=1. It is easily verified that
(H1)m
fm(⋅,z,λ) is measurable
for every (z,λ)∈RN×RnN and fm(y,⋅,λ) is continuous for almost all y∈RyN;
(H2)m
fm(y,z,⋅) is strictly convex
for almost all (y,z)∈RyN×RzN.
(H3)m
There exists a constant c>0 such that:
[TABLE]
for every (z,λ)∈R×RnN, and for almost all y∈RN.
(H4)m
fm(⋅,⋅,λ) is periodic
for all λ∈RnN
(H5)m
∂λ∂fm(y,z,λ) exists for all λ∈RnN and for almost all (y,z) and there exist a constant c=c(m)>0 such that:
[TABLE]
for all λ∈RnN and for almost all (y,z)∈RN×RN.
All the convergence results established in Proposition 3.1 and Corollary 3.1 for f, remain valid with fm .
Moreover for every v∈LperB(Ω×Y×Z)nN, one has fm(⋅,⋅,v)→f(⋅,⋅,v) in L1(Ω;Lper1(Y×Z)), as m→+∞.
The next result extends to the Orlicz setting an argument presented in [36] to prove Corollary 2.10 therein.
Proposition 3.2
Let (vε) be a sequence in LB(Ω)nN which reiteratively two-scale
converges (in each component) to v∈LperB(Ω×Y×Z)nN, then, for any integer m≥1, we have that there exists a constant C′ such that
[TABLE]
Proof. Let (vl)l≥1 be a sequence in D(Ω;R)⊗Cper∞(Y;R)⊗Cper∞(Z;R) such that vl→v in LperB(Ω×Y×Z)nN as l→∞. The convexity and
differentiability of fm(y,z,⋅)
imply (for any integer l≥1),
[TABLE]
(H1)m,(H2)m and (H5)m guarantee that x⟼∂λ∂fm(⋅,⋅,vl)∈C(Ω;Lper∞(Y;Cper∞(Z))) hence, by Proposition 3.1, it results
[TABLE]
Next, we observe that for a.e. y and every z,λ and a suitable positive constant c, one has
Replacing λ by λ−η and μ by λ respectively, we
obtain:
[TABLE]
Let m>0, and assume ∣η∣≤m1≤1, hence,
[TABLE]
Multiplying both side of the inequality, by θm, we
get:
[TABLE]
Integration leads to (19).
Hence, given vε, we have
[TABLE]
thus
[TABLE]
But ααb(2(1+∣vε∣))≤B(αb(2(1+∣vε∣)))+B(α1)≤αB(b(2(1+∣vε∣)))+B(α1)
Set Ω1={x∈Ω:2(1+∣vε(x)∣)>t0},Ω2=Ω\Ω1.
Hence, we get
[TABLE]
Let C>1+∥4(1+∣vε∣)∥B,Ω. Then ∫ΩB(C4(1+∣vε∣))dx≤1.
Since B(4(1+∣vε∣))=B(CC4(1+∣vε∣))≤K(C)B(C4(1+∣vε∣)) whenever C4(1+∣vε∣)≥t0.
Set Ω3={x∈Ω1:C4(1+∣vε∣)≥t0},Ω4=Ω1\Ω3.
Hence
[TABLE]
Since B∈△2, and (vε) is bounded in LB(Ω) it results that ∫ΩB(4(1+∣vε∣))dx is also
bounded.
Then we have
[TABLE]
for a suitably big constant C′.
Thus
[TABLE]
Using (H5)m we get
[TABLE]
Since vl→v in LperB(Ω×Y×Z)nN as l→∞, it follows that for δ>0
arbitrarily fixed, there exists l0∈N, such that
[TABLE]
for all l≥l0. Hence for all l≥l0,
[TABLE]
Now sending l→∞ we have
[TABLE]
The arbritrariness of δ, concludes the proof.
Letting m→+∞, and replacing vε by Duε, with uε reiteratively two-scale convergent to u(x,y,z):=u0(x)+u1(x,y)+u2(x,y,z) in W1LB(Ω;Rn), one obtains the following result:
Corollary 3.2
Let (uε)ε be a sequence in W01LB(Ω;Rn)
reiteratively two-scale convergent to u=(u0,u1,u2)∈F01LB. Then
[TABLE]
where
Du=Du0+Dyu1+Dzu2.
Now we are in position to put together all the previous results in order to prove our main result.
For every ε, let uε be a minimizer of Fε. Hypothesis (H4) guarantees that
(uε)ε is bounded in W01LB(Ω;R)n. On the other hand, since the real sequence (Fε(uε))ε>0 is bounded, we can extract a not relabelled subsequence, such that we have (a)−(b), in the statement, and ε→0limFε(uε) hold.
It remains to verify that
u=(u0,u1,u2) is the solution of the
minimization problem (\refmp). Let ϕ=(ψ0,ψ1,ψ2)∈F0∞ with ψ0∈D(Ω)n,ψ1∈[D(Ω)⊗Cper∞(Y)/R]n, ψ2∈[C0∞(Ω)⊗Cper∞(Y)⊗Cper∞(Z)/R]n. Define ϕε:=ψ0+εψ1+ε2ψ2. Then ϕε∈W01LB(Ω;R)n so that we have
[TABLE]
Therefore, taking the
limit as ε→0, using the arbitrariness of ϕ,
the density of F0∞ in F01LB the above
inequality leads us to
[TABLE]
This inequality, together with Corollary 3.2, leads
to the equality
[TABLE]
Since (6) has a unique solution, we can conclude that
the whole sequence (uε)ε
verifies (a)−(b) and the proof is completed.
The following corollary recasts the above results in terms of Γ-convergence with respect to reiterated two-scale convergence, thus extending the result proven in the single scale case in [23], (see [14] for details about Γ-convergence).
Corollary 3.3
Let Ω and f be as in Theorem 1.1. Then, for every u=(u0,u1,u2)∈F01LB, it results
[TABLE]
*where Du=Du0+Dyu1+Dzu2.
*
Proof.
The statement will be proven if we show that
[TABLE]
for any sequence uε⇀u∈F01LB reiteratively two-scale, and we exhibit a sequence uε such that uε⇀u∈F01LB reiteratively two-scale, and
[TABLE]
The first inequality is consequence of Corollary 3.2. For what concerns the upper bound we preliminarily observe that a standard argument in the Orlicz setting allows us to consider, for any given N−function B, a generating function b such that b is continuous and B verifies the △2 condition near [math].
Now let ϕε(x):=ψ0+εψ1(x,εx)+ε2ψ1(x,εx,ε2x) for x∈Ω, where
ψ0∈C0∞(Ω),ψ1∈[C0∞(Ω)⊗Cper∞(Y)] and ψ2∈[C0∞(Ω)⊗Cper∞(Y)⊗Cper∞(Z)], then,
[TABLE]
Let F1LB:=W1LB(Ω)×LDyB(Ω;W#1LB(Y))×LDzB(Ω;Lper1(Y;W#1LB(Z))) where
LDyB(Ω;W#1LB(Y)),
LDzB(Ω;Lper1(Y;W#1LB(Z)))
have been defined in (4). Recalling also that F1LB, equipped with the norm ∥u0∥F1LB=∥Du∥B,Ω+∥Dyu1∥B,Ω×Y+∥Dzu2∥B,Ω×Y×Z, u0=(u,u1,u2)∈F01LB is Banach space,
thanks to the density of C∞(Ω) in W1LB(Ω), of Cper∞(Y)/R in W#1LperB(Y) and that of Cper∞(Y)⊗Cper∞(Z)/R in Lper1(Y;W#1LB(Z)), the space F∞:=C∞(Ω)×[D(Ω)⊗Cper∞(Y)/R]×[D(Ω)⊗Cper∞(Y)⊗Cper∞(Z)/R] is dense in F1LB.
As above for v0=(v,v1,v2)∈F1LB we denote by Dv0 the sum Dv+Dyv1+Dzv2.
In view of the stated density,
given δ>0, there exist uδ∈C∞(Ω),vδ∈[D(Ω)⊗Cper∞(Y)/R],wδ∈[D(Ω)⊗Cper∞(Y)⊗Cper∞(Z)/R] such that:
[TABLE]
For every δ,ε>0 and for every x∈Ω, define
uδ,ε(x)=:uδ(x)+εvδ(x,εx)+ε2wδ(x,εx,ε2x). It results that
[TABLE]
As immediate consequence, for δ fixed,
[TABLE]
as ε→0.
Next, setting
[TABLE]
using the above density results:
[TABLE]
Then, via diagonalization, we can construct a sequence δ(ε)→0, as ε→0 and such
that:
(i)
δ(ε)→0limcδ(ε),ε=0.
(ii)
uδ(ε),ε→v in LB(Ω),
(iii)
Duδ(ε),ε⇀Dxv+Dyv1+Dzv2 strongly reiteratively in LperB(Ω×Y×Z).
In particular, it follows that Duδ(ε),ε⇀Dxv weakly in LB(Ω), and
[TABLE]
Since the above construction can be performed for every triple (v,v1,v2)∈F1LB, it is enough to repeat the construction for u0=(u,u1,u2)∈F01LB as claimed.
Remark 3.1
It is worth to observe that the result in Corollary 3.3 holds, with the exact same proof under weaker assumptions than those in Theorem 1.1: namely (H2) can be replaced by convexity, and in (H4) it is not crucial to have f non-negative, it is enough to have a bound from below.
Moreover the same proof can be performed if uε and u are vector valued and not just scalar valued functions.
4 Appendix
Here we present the proof Proposition 2.1 which establishes the equivalence between the norms ∥⋅∥B,Y×Z and ∥⋅∥ΞB(RyN;Cb(RzN)) in XperB(RyN;Cb).
Proof of Proposition 2.1.
The inclusion is a direct consequence of the definition, and clearly every element in LperB(Y×Z), can be obtained as limit in ∥⋅∥B,Y×Z norm of sequences in Cper(Y×Z).
On the other hand, by the very defintion of XperB(RyN;Cb), v∈XperB(RyN;Cb) if and only if there exist (vn)n∈N∈Cper(Y×Z) such that (vn)n∈N converge to v for the norm ∥⋅∥ΞB(RyN;Cb(RzN)).
Thus for every w∈XperB(RyN;Cb)
there exist (wn)n∈N⊂Cper(Y×Z),such that as n→∞,wn→w in ΞB(RyN;Cb(RzN)).
We claim that for every u∈Cper(Y×Z), it results ∥u∥B,Y×Z≤∥u∥ΞB(RyN;Cb). From the claim it follows that
∥wn−wm∥B,Y×Z≤∥wn−wm∥ΞB(RyN;Cb(RzN)), for all m,n∈N. Therefore (wn)n∈N is a Cauchy sequence in XperB(RyN×RzN) and in XperB(RyN;Cb). Hence there exist w1∈XperB(RyN×RzN),w2∈XperB(RyN;Cb) such that
[TABLE]
Moreover the passage to the limit guarantees that
w1B,Y×Z≤w2ΞB(RyN;Cb(RzN)). It is also clear, considering the convergence in the sense of distributions, that w1=w2.
It remains to prove the claim. To this end,
let u,v∈Cper(Y×Z); we have
[TABLE]
Passing to limit, as ε→0, we obtain:
[TABLE]
Using the density of Cper(Y×Z) in LperB(Y×Z) we obtain (with the topology of the
norm)
[TABLE]
for all v∈LperB(Y×Z).
Thus ∥u∥B,Y×Z≤2∥u∥ΞB(RyN;Cb(RzN)), for all u∈Cper(Y×Z),
and we get the result for all u∈XperB(RyN;Cb), via standard density arguments.
5 Acknowledgements
This paper has been written during the visit of J.F.T. at Dipartimento di Ingegneria Industriale (INdAM unit) at University of
Salerno. The authors gratefully acknowledge the supports of the INdAM-ICTP Research in pairs programme. E. Z. is a member of INdAM-GNAMPA.
Bibliography43
The reference list from the paper itself. Each links out to its DOI / PubMed record.
1[1] R. Adams, Sobolev Spaces , Academic Press, New York, 1975.
2[2] G. Allaire, Homogenization and two scale convergence , SIAM J. Math. Anal. 23 , (1992), 1482-1518.
3[3] G. Allaire, M. Briane, Multiscale convergence and reiterated homogenization , Proc. Royal Soc. Edin. 126 , (1996), 297-342.
4[4] M. Amar, Two-scale convergence and homogenization on BV ( Ω ) Ω (\Omega) , Asymptot. Anal., 16 , n.1, (1998), 65–84.
5[5] J.-F. Babadjian, M. Baía, Multiscale nonconvex relaxation and application to thin films , Asymptot. Anal., 48 , (2006), 173-218.
6[6] M. Baía, I. Fonseca, The limit behavior of a family of variational multiscale problems , Indiana Univ. Math. J., 56 , n.1, (2007), 1–50 DOI 10.1512/iumj.2007.56.2869.
7[7] M. Barchiesi, Multiscale homogenization of convex functionals with discontinuous integrand. J. Convex Anal. 14 (2007), no. 1, 205–226.
8[8] G. Carita, A. M. Ribeiro, E. Zappale, An homogenization result in W 1 , p × L q superscript 𝑊 1 𝑝 superscript 𝐿 𝑞 W^{1,p}\times L^{q} . , Journal of Convex Analysis. 18 , (2011), n. 4, 1-28.