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www.elsevier.com/locate/anihpc

Suboptimal boundary controls for elliptic equation in critically perforated domain

Ciro D’Apice

a,

, Umberto De Maio

b

, Peter I. Kogut

c

aUniversità di Salerno, Dipartimento di Ingegneria dell’Informazione e Matematica Applicata, via Ponte don Melillo, 84084 Fisciano (SA), Italy bUniversità degli Studi di Napoli “Federico II”, Dipartimento di Matematica e Applicazioni “R. Caccioppoli”, Complesso Monte S. Angelo,

via Cintia, 80126 Napoli, Italy

cDepartment of Differential Equations, Dnipropetrovsk National University, Naukova str., 13, 49050 Dnipropetrovsk, Ukraine Received 3 January 2007; received in revised form 10 July 2007; accepted 16 July 2007

Available online 17 October 2007

Abstract

In this paper we study the asymptotic behaviour, asεtends to zero, of a class of boundary optimal control problemsPε, set in ε-periodically perforated domain. The holes have a critical size with respect toε-sized mesh of periodicity. The support of controls is contained in the set of boundaries of the holes. This set is divided into two parts, on one part the controls are of Dirichlet type;

on the other one the controls are of Neumann type. We show that the optimal controls of the homogenized problem can be used as suboptimal ones for the problemsPε.

©2007 Elsevier Masson SAS. All rights reserved.

MSC:35B27; 49J20; 49J27

Keywords:Optimal control; Homogenization; Perforated domain; Variational convergence; Measure approach

1. Introduction

LetΩ⊂Rn,n2, be a bounded open domain, and letεbe a small positive parameter. To define a perforated domain Ωε, we introduce the following sets: Y = [−1/2,+1/2)n; Qand K are compact subsets of Y such that 0∈intK∂Q,

Θε=

k=(k1, k2, . . . , kn)∈Zn: (εY+εk)Ω= ∅

; (1.1)

Yε=

kΘε

ε(Y+k)

; Tε=

kΘε

{εn/(n1)Q+εk}; (1.2)

Sε=

εn/(n2)K∂(εn/(n1)Q), n3,

exp(−1/ε2)K∂(εn/(n1)Q), n=2, (1.3)

* Corresponding author.

E-mail addresses:[email protected] (C. D’Apice), [email protected] (U. De Maio), [email protected] (P.I. Kogut).

0294-1449/$ – see front matter ©2007 Elsevier Masson SAS. All rights reserved.

doi:10.1016/j.anihpc.2007.07.001

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ΓεD=

kΘε

{Sε+εk}

Ω, ΓεN= [∂Tε\ΓεD] ∩Ω. (1.4)

Then we setΩε=Ω\Tε. The principal feature of the perforated domainΩε is the fact that the size of the holes Qε+εkand their boundariesΓεD,ΓεNare not proportional to the size of the periodicity cellεY. InΩε we consider the following boundary value problem:

yε+yε=fε, inΩε,

νyε= −k0yε+pε, onΓεN, yε=uε, onΓεD,

yε=0, onΣε=∂Ω∂Ωε,

⎫⎪

⎪⎬

⎪⎪

(1.5)

wherefεL2(Ω)is a given function,k0is a positive constant,ν=∂/∂νis the outward normal derivative.

In (1.5)uεandpεare the control functions which act on the system through the set of boundaries of the holes. We say that the control functionsuεandpεare admissible if the following conditions hold:

pεL2εN), uεUε=

a|ΓεD: aH01(Ω)H2(Ω),aH2(Ω)C0

. (1.6)

Then the optimal control problem Pε can be formulated as follows: Given zεL2(Ω), C0 >0, find a triple (u0ε, p0ε, yε0)Ξεsuch that

Iε(u0ε, pε0, yε0)= inf

(uε,pε,yε)Ξε

Iε(uε, pε, yε), (1.7)

where the cost functionalIεand the set of admissible tripletsΞεare defined as Iε=

Ωε

|∇yε|2dx+

Ωε

|yεzε|2dx+

ΓεN

pε2dHn1+β(ε)

ΓεD

u2εdHn1, (1.8)

Ξε=

(uε, pε, yε)H1εD)×L2εN)×H1ε;Σε): (uε, pε, yε)satisfies (1.5)–(1.6)

. (1.9)

HereH1ε;Σε)= {yεH1ε): yε=0 onΣε},β(ε)=εn/(2n)ifn3, andβ(ε)=ε2exp(ε2)ifn=2.

The asymptotic analysis of the boundary value problems in perforated domain with small holes (without controls) has been widely studied by many authors. We mainly could mention Cioranescu and Donato and Murat and Zuazua [7], Cioranescu and Saint Jean Paulin [10], Cioranescu and Murat [9], Dal Maso and Murat [14], Marchenko and Khruslov [23], Zhikov and Kozlov and Oleinik [29], Scrypnik [27]. It is well known the interesting effect of ho- mogenization of the Poisson equation with (zero) Dirichlet conditions on the boundary of the holes, when a "strange term" appears in the limit equation (see [9,23]). Another effect of homogenization of the same equation with a crit- ical size of the holes, when nonhomogeneous Neumann conditions on the boundary of the holes are assumed, was studied by Conca and Donato [11]. In this case some constant that is proportional to the limit of the total flux of the solution through the boundary of the holes, appears in the limit equation. Cardone and D’Apice and De Maio in [5]

and Corbo Esposito and D’Apice and Gaudiello in [12] examined the same equation with mixed boundary conditions on the holes. As proved in [12], in the context of perforated domains with a rather simple geometry of the holes, an interference phenomenon in the homogenization of such boundary value problems is present.

Optimal control problems in perforated domains have been the object of intensive research in the past years [8,18, 24,26]. The numerical computation of such problems is very complicated through thick perforations ofΩε. Therefore, the asymptotic analysis is one of the main approaches to the study of optimization problems in perforated domains.

The goal of this paper is to obtain an appropriate approximation for the optimal solutions to the problemPεfor small enough values ofε. Using the ideas of theΓ-convergence theory and the concept of the variational convergence of constrained minimization problems (see [2,3,19,20]), we show that the homogenized problem for the original one can be recovered in the following analytical form:

Ω

(y· ∇ϕ) dx+ρ

Ω

(ya)ϕ dμ+

1+k0|∂Q|H Ω

yϕ dx

=

Ω

f ϕ dx+ |∂Q|H

Ω

pϕ dx,ϕH01(Ω)L2(Ω, dμ). (1.10)

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yH01(Ω), pL2(Ω), aH2(Ω)H01(Ω), (1.11)

yaL2(Ω, dμ), aH2(Ω)C0, (1.12)

I0(a, p, y)=

Ω

|∇y|2dx+

Ω

|yz|2dx+ρ

Ω

(ya)2

+ |∂Q|H

Ω

p2dx+ |K∂Λ|H

Ω

a2dx−→inf. (1.13)

Here the parametersρ,|∂Q|H,|K∂Λ|H ∈Rand the Borel measureμare coming from the geometry of control zones. In contrast toPε, the limit control problem (1.10)–(1.13) contains two independent distributed control func- tions. We show that this problem has a unique optimal solution, derive the corresponding optimality conditions, and establish that the optimal solution for the homogenized problem can be used as a suboptimal control for the original one.

2. Preliminaries and notation

Throughout the paper we suppose thatΩ is a measurable set in the sense of Jordan; the small parameterεvaries in a strictly decreasing sequence of positive numbers which converges to 0;QandKare compact subsets ofY such that 0∈intK∂Q; the setQhas Lipschitz boundary∂Q, intQis a strongly connected set,Q⊂ {x=(x1, . . . , xn)∈ Rn:x10}, and its boundary∂Qcontains the origin;A=B(0, r0)is an open ball centered at the origin with a radius r0<1/2, so thatAY andKA(see Fig. 1 for 2-d example);C0>0 is a constant independent ofε; the functions fεL2(Ω),zεL2(Ω)are such thatfε f andzεz inL2(Ω)asε→0. For any subsetEΩ we denote by

|E|itsn-dimensional Lebesgue measureLn(E), whereas|∂E|H denotes the(n−1)-dimensional Hausdorff measure of manifold∂EonRn. We suppose that the setsK∂Qςand∂Q\(K∂Qς)have nonzero capacity for anyς >1, whereQς= {ς x,x=(x1, . . . , xn)Q}is the homothetic stretching ofQby a factor ofς. Hence|K∂Qς|H=0 for allς >1.

LetMb(Ω)be the space of bounded Borel measures onΩ with values in[0,+∞]. LetM+0(Ω)be the cone of all nonnegative Borel measuresμonΩ such thatμ(B)=0 for every setBΩ with cap(B, Ω)=0, andμ(B)= inf{μ(U ): Uquasi open, B⊆U}for every Borel setBΩ. Note that ifμM+0(Ω), then the functions ofH1(Ω) are definedμ-almost everywhere and areμ-measurable inΩ, hence the spaceH1(Ω)L2(Ω, dμ)is well defined.

In view of [21] (see Theorems 1.1 and 2.2, Chapter IV), the following result can be easily proved:for every fixed εand for any control functionsuεH1εD)andpεL2εN)there exists a unique functionyε=yε(uε, pε)such that

Fig. 1. Example of perforation scheme.

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yεaεH1ε;ΓεDΣε),

Ωε

(yε· ∇ϕ) dx+

Ωε

yεϕ dx+k0

ΓεN

yεϕ dHn1

=

Ωε

fεϕ dx+

ΓεN

pεϕ dHn1ϕH1ε;ΓεDΣε), (2.1)

yεH1ε)C

fεL2(Ω)+D1(ε)uεH1εD)+D2(ε)pεL2εN)

, (2.2)

whereC,D1(ε), andD2(ε)are some positive constants,Cis independent ofε, and the functionaεH01(Ω)H2(Ω) is such thataεH2(Ω)C0andaε|ΓεD=uε. In the sequel we call the functionyεweak solution to the problem (1.5) and identifyyεwith its quasi continuous representative [14].

Let{(unε, pnε, yεn)} ⊂Ξεbe a minimizing sequence for the problemPε. Then, using the compact embedding result H3/2εD) H1εD)which impliesunεu0ε=aε0|ΓεD strongly inH1εD)and the direct method of Calculus of variation, we come to the following conclusion (for details see [16], [13]):

Theorem 2.1.For everyεthere exists a unique solution(u0ε, p0ε, yε0)Ξεof the optimal control problemPε. 3. On formulation of the homogenization problem

We begin this section with the description of the geometry of the perforated domain Ωε. We describe the class of admissible solutions to problemPε in the terms of singular periodic Borel measures onRn. To do so, we use the approach of Zhikov, Bouchitté and Fragala (see [1,28]).

Let us denote byKλ andQh the homothetic contractions of the setsK andQatλ1 andh1 times. In what follows it is assumed that 0< λh <1. Let the setsΓλ,handΛλ,hbe defined as follows:

Γλ,h=Kλ∂Qh, Λλ,h=∂Qh\Γλ,h. (3.1)

Letμλ,handνλ,hbe the normalized periodic Borel measures onRnwith the periodicity cellYsuch thatμλ,his con- centrated onΓλ,h,νλ,his concentrated onΛλ,h, and both these measures are proportional to the(n−1)-dimensional Hausdorff measure. Since these measures are concentrated and uniformly distributed on the corresponding sets, it follows thatμλ,h(Y\Γλ,h)=0.

For any functionϕC(Rn)we have

Γλ,h

ϕ dHn1= |Γλ,h|H

Y

ϕ dμλ,h=λn1|K∂Qh/λ|H

Y

ϕ dμλ,h, (3.2)

Λλ,h

ϕ dHn1= |Λλ,h|H

Y

ϕ dνλ,h=

|∂Qh|H− |Γλ,h|H Y

ϕ dνλ,h

=

hn1|∂Q|Hλn1|K∂Qh/λ|H Y

ϕ dνλ,h. (3.3)

We introduce also the scaling measures μλ,hε and νελ,h by setting μλ,hε (B) = εnμλ,h1B), νλ,hε (B) = εnνλ,h1B)for every Borel setB⊂Rn, and relate the parametersλ,h, andεby the rule

h(ε)=εn/(n1), λ(ε)=εn/(n2) ifn3, and λ(ε)=exp(−ε2) ifn=2. (3.4) Then

εYλ,hε =εn

Yλ,h=εn,

εYελ,h=εn

Yλ,h=εn. It means that the measuresμλ,hε andνελ,hweakly converge to the Lebesgue measure:λ,hε dx,dνλ,hε dx, that is for everyϕC0(Rn)we have

εlim0

Rn

ϕ dμλ,hε =

Rn

ϕ dx, lim

ε0

Rn

ϕ dνλ,hε =

Rn

ϕ dx. (3.5)

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Remark 3.1.It is easy to see that the scaling measuresμλ,hε andνελ,hbelong to the classM+0(Ω). Hence the spaces H01(Ω)H2(Ω)L2(Ω, dμλ,hε )andH1;Σε)L2(Ω, dνελ,h)are well defined [14].

Now we turn back to the definition of the set of admissible solutions of the problemPε(see (1.9)). We see that ΓεD=

kΘε

Kλ(ε)∂Qh(ε)+εk

, ΓεN=

kΘε

∂Qh(ε)\(Kλ(ε)∂Qh(ε))+εk .

Then, using properties (3.2)–(3.3) and setting σ (ε)=

h(ε)n1|∂Q|Hλ(ε)n1|K∂Qh(ε)/λ(ε)|H

, (3.6)

the term

ΓεNpεϕ dHn1of the integral identity (2.1) can be rewritten in the form

ΓεN

pεϕ dHn1=

kΘε

∂Qh(ε)\Γλ(ε),h(ε)+εk

pεϕ dHn1

=σ (ε)

kΘε

ε(Y+k)

ˆ

pεϕ dνλ(ε),h(ε)(x/ε)=εnσ (ε)

Ω

ˆ

pεϕ dνελ,h (3.7)

for every functionϕC0(Rn;ΣεΓεD)= {ψC0 (Rn): ψ=0 onΣεΓεD}.

Herepˆε is a function ofL2(Ω, dνελ,h)taking the same values aspεL2εN)onΓεN. It is clear that for every boundary controlpεL2εN), one can find a functionpˆεL2(Ω, dνελ,h)such thatpε= ˆpεonΓεN. Hence

ΓεN

p2εdHn1=εnσ (ε)

Ω

ˆ

p2ελ,hε , (3.8)

where

εnσ (ε)=

|∂Q|Hεn/(n2)|K∂Qh(ε)/λ(ε)|H, ifn3,

|∂Q|Hε12exp(−ε12)|K∂Qh(ε)/λ(ε)|H, ifn=2. (3.9) By analogy we obtain

k0

ΓεN

yεϕ dHn1=εnσ (ε)k0

Ω

˘

yεϕ dνελ,h, (3.10)

ΓεD

u2εdHn1=εnλ(ε)n1|K∂Qh(ε)/λ(ε)|H

Ω

aε2λ,hε . (3.11)

Herey˘εH1;Σε)is an extension of the weak solutionyεto the problem (1.5) to the whole of domainΩ, and the functionaεH01(Ω)H2(Ω)L2(Ω, dμλ,hε )is a prototype of the Dirichlet controluεUε(see (1.6)).

Remark 3.2.In view of our initial suppositions, the measureνελ,his supported on the set with nonzero capacity for everyε >0. Since every elementvof the spaceH1;Σε)L2(Ω, dνελ,h)can be interpreted as a quasi continuous function, it is reasonable to suppose that for every elementvH1(Ω), one can find a sequence{vkC(Ω)}k∈Nsuch that

sup

k∈Nlim sup

ε0

Vk

(vvk)2ελ,h<+∞ and lim

k→∞cap(Vk, Ω)=0,

whereVk = {xΩ: v=vk}. We assume that the same property is valid for the elements of the space H01(Ω)L2(Ω, dμλ,hε ).

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As a result, we can reformulate the original optimal control problem Pε (1.7)–(1.9) as follows: Find some (a0ε, p0ε, yε0)∈Xεsuch that

Iˆε(a0ε, pε0, y0ε)= inf

(aε,pε,yε)∈ ˆΞε

Iˆε(aε, pε, yε), (3.12)

Xε=

H01(Ω)H2(Ω)L2(Ω, dμλ,hε )

×L2(Ω, dνελ,h)×

H1;Σε)L2(Ω, dνελ,h) , where

Iˆε(aε, pε, yε)=

Ω

χε|∇ ˘yε|2dx+

Ω

|χεy˘εzε|2dx

+εnσ (ε)

Ω

pε2ελ,h+ |K∂Qh(ε)/λ(ε)|H

Ω

a2ελ,hε , (3.13)

ˆ Ξε=

⎧⎪

⎪⎪

⎪⎪

⎪⎩

(aε, pε, yε)

˘

yεaεH1;ΓεDΣε),aH2(Ω)C0,

Ωχε(∇ ˘yε· ∇ϕ) dx+

Ωχεy˘εϕ dx +k0εnσ (ε)

Ωy˘εϕdνελ,h

Ωχεfεϕ dx

=εnσ (ε)

Ωpεϕ dνελ,h,ϕH1;ΓεDΣε).

⎫⎪

⎪⎪

⎪⎪

⎪⎭

(3.14)

We denote withPˆεthe optimal control problem (3.12)–(3.14). It is clear thatPˆεhas a unique solution(aε0, pε0, yε0)for everyε[16,22]. This solution can be viewed as a prototype of the optimal triplet toPε-problem. Moreover, in this case a priori norm estimate (2.2) takes the form

˘yεH1(Ω,χεdx)+

εnσ (ε)yεL2(Ω,dνελ,h)Cˆ

εnσ (ε)pεL2(Ω,dνλ,hε )+ fεL2(Ω) +

|K∂Qh(ε)/λ(ε)|HaεH1

0(Ω)L2(Ω,dμλ,hε )

. (3.15)

To end this section, we list some auxiliary results that will be useful in the sequel. Let ς (ε)=h(ε)/λ(ε)=

exp(n23nn+2lnε) ifn3, ε2exp(ε12) ifn=2.

(3.16) Thenς (ε)(1,+∞)εand limε0ς (ε)= +∞. We are interested in the limit behaviour of the sequence {|K

∂Qς(ε)|H}asε→0. We recall that the setQς(ε)= {ς (ε)x,x=(x1, . . . , xn)Q}is the homothetic stretching of Qby a factor ofς (ε).

Proposition 3.3.There exists an open coneΛ⊂ {x∈Rn: x1>0}such that

εlim0

K∂Qς(ε)

H= |K∂Λ|H. (3.17)

Proof. Indeed, by the initial assumptions, the origin is a Lipschitz point of the boundary∂Qand intQis a strongly connected set in the classical sense. Hence, there is a neighbourhood U(0)such thatU(0)∩intQis a convex set [4,15]. ThenΛ= {xt[U(0)∩intQ] ∀t(0,+∞)}is a nonempty open cone.

Assume that the origin does not belong to a smooth part of the boundary∂Q. Then the inclusionKΛKQς (ε) holds true for εsmall enough, and it immediately implies the existence of a valueε0>0 such that |K∂Λ|H =

|K∂Qς(ε)|Hε < ε0. If a part of the boundary∂Qcontaining the origin is smooth, then it follows that there is a neighbourhoodU(0)of the origin such thatU(0)∂Qis the graph of a smooth function whose epigraph contains U(0)Q. So that, we may always suppose that there is a functionΨ: Rn1→R satisfyingΨC0(Rn1)and x1=Ψ (x2, . . . , xn)for everyx=(x1, x2, . . . , xn)U(0)∂Q.

LetΛ= {x∈Rn: x1>0}. Then∂Λ= {x∈Rn: x1=0}and we deduce:x=(x1, x2, . . . , xn)Kς (ε)∂Qfor small enoughεif and only ifxς (ε)(U(0)∂Q). Hence

x1= 1 ς (ε)Ψ

ς (ε)x2, . . . , ς (ε)xn

for everyxKς (ε)∂Q.

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Since limε0ς1(ε)Ψ (ς (ε)x2, . . . , ς (ε)xn)=0 by the definition of the Hausdorff measureHn1, we immediately obtain the required result. 2

Remark 3.4.As follows from Proposition 3.3 and its proof, the coneΛcan be recovered in an explicit form in the case when the origin belongs to a smooth part of the boundary∂Q. Moreover, in view of (3.6) we have limε0σ (ε)/εn=

|∂Q|H.

In a similar way the following statement can be proved:

Proposition 3.5.Let{ρε ∈R}ε>0be a sequence of numbers such that

ρε= |A\Qς (ε)|/|A| ∀ε >0. (3.18)

Then the sequence{ρε}ε>0is monotone and there exists a valueρ∈ [1/2,1)such thatlimε0ρε=ρ. 4. Convergence in the variable spaceXε

Let us recall the main types of convergence in variable spaces occurring in the homogenization theory (see [28]).

We cite them with respect to the family of the periodic Borel measureμλ,hε . Here the parametersλ=λ(ε)andh=h(ε) are defined by (3.4). Let{vελ,hL2(Ω, dμλ,hε )}be a bounded sequence, i.e. lim supε0

Ω(vλ,hε )2λ,hε <+∞.

1. The weak convergencevλ,hε vinL2(Ω, dμλ,hε )means thatvL2(Ω)and limε0

Ωvελ,hϕ dμλ,hε =

Ωvϕ dx for anyϕC0(Ω);

2. The strong convergence vλ,hεv in L2(Ω, dμλ,hε ) means that vL2(Ω) and limε0

Ωvλ,hε zλ,hε λ,hε =

Ωvz dxifzλ,hε zinL2(Ω, dμλ,hε ).

The following properties of the convergence in variable spaces hold:

(a) Compactness criterium: if a sequence is bounded inL2(Ω, dμλ,hε ), then this sequence is compact in the sense of the weak convergence;

(b) Property of lower semicontinuity: ifvελ,h vinL2(Ω, dμλ,hε ), then lim inf

ε0

Ω

(vλ,hε )2λ,hε

Ω

v2dx;

(c) Criterium of strong convergence:vελ,hvif and only ifvλ,hε vand limε0

Ω(vλ,hε )2λ,hε =

Ωv2dx;

(d) Sinceμλ,hε dx, it follows that limε0

Ωϕ dμλ,hε =

Ωϕ dxϕC(Ω)and lim supε0μλ,hε (F )|F|for any compact setFΩ.

We begin with the following concept:

Definition 4.1.Let{vελ,hH01(Ω)L2(Ω, dμλ,hε )}be a bounded sequence. We say that this sequence converges weakly inH01(Ω)L2(Ω, dμλ,hε )tovH1(Ω)if

vελ,h v inH01(Ω) and vλ,hε v inL2(Ω, dμλ,hε ). (4.1) In order to check the correctness of this definition we make use of the following auxiliary statements:

Lemma 4.2.IfvH01(Ω), thenlimε0

Ωvϕ dμλ,hε =

Ωvϕ dxϕC0(Ω).

Proof. IfvC0(Ω), then the weak convergenceμλ,hε dxof the measures immediately implies this relation. Let vbe an arbitrary element ofH01(Ω). Then for everyδ >0 there exist a setAδΩ and a functionvδC0(Ω)such

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that cap(Aδ, Ω) < δ, andvδ=vonΩ\Aδ. In what follows, we suppose that the setAδis closed. We now consider the following estimate:

Ω

vϕ dμλ,hε

Ω

vϕ dx

Ω

(vvδ)ϕ dμλ,hε +

Ω

vδϕ dμλ,hε

Ω

vδϕ dx +

Ω

(vvδ)ϕ dx

=J1+J2+J3.

Owing to the weak convergenceμλ,hε dx, we haveJ2→0 asε→0. By Lusin’s Theorem we may suppose that there is a constant d1>0 such thatvvδL2(Ω)d1δ. HenceJ3d1ϕL2(Ω)δ. As for the value J1, we note that each of the measure μλ,hε is supported on a set with nonzero capacity. So, there is a constantd2>0 such that vvδL2(Ω,dμλ,hε )d2for anyδ >0 small enough (see Remark 3.2). It implies the following estimate:

J3=

Ω

(vvδ)ϕ dμλ,hε

d2ϕC(Ω)

μλ,hε (Aδ)1/2

. As a result, we have:

(i) lim supε0μλ,hε (Aδ)|Aδ| by property (d); (ii) |Aδ|d3capn/(n2)(Aδ) by the properties of capacity (see [15]); (iii) cap(Aδ) < δby the initial assumption. Hence, summing up all estimates that were obtained before, we conclude|

Ωvϕ dμλ,hε

Ωvϕ dx|for anyδ >0 small enough (here the constantd does not depend onδ).

This completes the proof. 2

We now consider a more delicate situation.

Lemma 4.3. Let {vελ,hH01(Ω)L2(Ω, dμλ,hε )} and vL2(Ω) be such that vελ,h v in H01(Ω)and hence vελ,hvinL2(Ω). Then

εlim0

Ω

vελ,hλ,hε

Ω

vελ,hdx

=0. (4.2)

Proof. As in the previous lemma, we introduce two functionsv˜ελ,hC(Ω)andv˜∈C(Ω)such thatv˜λ,hε =vελ,hand

˜

v=vquasi everywhere. Let us partition the setΩ into cubesεYwith edgesεand denote these cubes withεYj. Then there are pointsxjλ,hεYjsuch that

Ω

˜

vελ,hλ,hε =

εYj

˜

vελ,h(x) dμλ,hε +

ΩεYj

˜

vελ,h(x) dμλ,hε

=

˜

vελ,h(xjλ,h)

εYj

λ,hε +

ΩεYj

˜

vλ,hε (x) dμλ,hε ,

where the second sum is calculated over the set of the “boundary” cubes. By the definition of the measureμλ,hε , we have

εYjλ,hε =εn

Yλ,hε =εn. Hence

Ω

˜

vελ,hλ,hε =

˜

vελ,h(xjλ,hn+

ΩεYj

˜

vελ,h(x) dμλ,hε . (4.3)

It is clear that an analogous representation takes place for the second term in (4.2), namely,

Ω

˜

vελ,hdx=

˜ vελ,h(xj)

εYj

dx+

ΩεYj

˜

vελ,h(x) dx

=

˜

vελ,h(xjn+

ΩεYj

˜

vλ,hε (x) dx, (4.4)

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