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International Journal of Mathematics and Mathematical Sciences Volume 2009, Article ID 219586,18pages

doi:10.1155/2009/219586

Research Article

Existence of Solution for

Nonlinear Elliptic Equations with

Unbounded Coefficients and

L

1

Data

Hicham Redwane

Facult´e des Sciences Juridiques, ´Economiques et Sociales, Universit´e Hassan 1, B.P. 784, Settat 26 000, Morocco

Correspondence should be addressed to Hicham Redwane,redwane [email protected]

Received 20 July 2009; Accepted 17 November 2009

Recommended by M ´onica Clapp

An existence result of a renormalized solution for a class of nonlinear elliptic equations is established. The diffusion functionsax, u,umay not be inL1

locΩ

N

for a finite value of the unknown and the data belong toL1Ω.

Copyrightq2009 Hicham Redwane. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

1. Introduction

In this paper we investigate the problem of existence of a renormalized solutions for elliptic equations of the type

−divax, u,∇u f inΩ,

u0 onΩ, 1.1

where Ω is an open bounded subset of RN, N 1, with the data f in L1Ω. The

operator−divax, u,∇uis a Leray-Lions operator defined on the weighted sobolev spaces

W01,pΩ, w, but which is not restricted by any growth condition with respect to u see

assumptions2.2,2.4, and2.5ofSection 3. The functionax, s, ξis controlled by a real functionb:− ∞, m→ Rwhich blows up for a finite valuem >0see2.2,2.3.

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i.e., in the distribution meaningseems to be an arduous task. To overcome this difficulty we use in this paper the framework of renormalized solutions. This notion was introduced by DiPerna and Lions1for the study of Boltzmann equationsee also Lions2for a few applications to fluid mechanics models. This notion was then adapted to elliptic vesion of 1.1 in Boccardo et al. 3, and Murat 4, 5 see also 6, 7 for nonlinear parabolic problems. At the same time the equivalent notion of entropy solutions has been developed independently by B´enilan et al.8for the study of nonlinear elliptic problems.

In the case whereax, u,∇uis replaced bydu Au∇uproblems with diffusion

matrices that have at least one diagonal coefficient that blows up for a finite value of the unknownandfL2Ω, existence and uniqueness has been established in Blanchard and

Redwane9,10.

As far as we have the stationary and evolution equations case1.1, the existence and a partial uniqueness of renormalized solutions have been proved in Blanchard et al.11in the case whereax, u,∇uis replaced byAx, u∇uwhereAx, sis a Carath´eodory symmetric matrices, such thatAx, sblows up as sm− uniformly with respect to x. It has also

been applied to the study of linear and nonlinear elliptic and parabolic equations when the diffusion coefficient has a singularity for a finite value of the unknownsee Garc´ıa V´azquez and Orteg ´on Gallego12,13and Orsina14.

The paper is organized as follows. InSection 2we will precise some basic properties of weighted Sobolev spaces.Section 3is devoted to specify the assumptions onax, s, ξ, bs,

andfneeded in the present study and gives the definition of a renormalized solution of1.1. InSection 4Theorem 4.1we establish the existence of such a solution.

2. Preliminaries

Throughout the paper, we assume that the following assumptions hold true.Ωis a bounded open subset onRN, N ≥ 1. Let us suppose that 1 < p < ∞ is a real number, andωxix}{0iN}is a vector of weight functions. Furthermore we suppose that every component

ωixis a measurable function which is strictly positive and satisfies

ωiL1locΩ, ωi−1/p−1∈L1locΩ. 2.1

We define the weighted Lebesgue spaceLpΩ, ω

0with weight ω0, as the space of all

real-valued measurable functionsufor which

up,ω0

Ω|ux|

pω

0xdx

1/p

<∞. 2.2

In order to define the weighted Sobolev space ofW1,pΩ, ω, as the space of all real-valued

functionsuLpΩ, ω

0such that the derivaties in the sense of distributions satisfy∂u/∂xi

LpΩ, ωifor alli1, . . . , N. This set of functions forms a Banach space under the norm

u1,p,ω

Ω|ux|

pω

0xdx

N

i1

Ω

∂x∂uipωixdx 1/p

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To deal with the Dirichlet problem, we use the spaceX W01,pΩ, ωdefined as the closure of C0∞Ω with respect to the norm · 1,p,ω. Note that, C0 Ω is dense inW01,pΩ, ωand W01,pΩ, ω, · 1,p,ωis a reflexive Banach space. Note that the expression

uX

N

i1

Ω

∂x∂uipωixdx 1/p

2.4

is a norm defined onXand is equivalent to the norm2.3. MoreoverX, · Xis a reflexive Banach space, and there exist a weight functionσonΩand a parameter 1< q <∞such that the Hardy inequality

Ω|u|

qσxdx

1/q

C

N

i1

Ω

∂x∂uipωixdx 1/p

2.5

holds for everyuX with a constantC > 0 independent of u. Moreover, the imbedding

X LqΩ, σis compact.

We recall that the dual of the weighted Sobolev spacesW01,pΩ, ω is equivalent to

W−1,pΩ, ω, whereωi ω

1−p

i ;i1, . . . , N}andp p/p−1is the conjugate ofp. For more details we refer the reader to15 see also16.

3. Assumptions on the Data and Definition of a Renormalized Solution

Throughout the paper, we assume that the following assumptions hold true.Ωis a bounded open set onRN, N 1. Let 1 < p <, and letωx ix}

{0≤iN}be a vector of weight functions.

Let now −divax, u,∇u be a Leray-Lions operator defined on W01,pΩ, ω into

W−1,pΩ, ωand where

a:Ω×R×RN−→RN is a Carath´eodory function, such that 3.1

there exists a positive functionbC0−∞, mwhich satisfies

lim

rmbr ∞;

m

0

bsds <∞, brα >0∀r ∈−∞, m,

ax, s, ξ·ξbsp−1

N

i1

ωixi|p, ax, s,0 0,

3.2

for almost everyx∈Ω, for everys∈Randξ∈RN. For anyi1, . . . , N,

|aix, s, ξ| ≤ωix1/p

⎣Lx σx1/p|s|q/p bsp−1

N

j1

ω1j/pxξjp−1

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for almost everyx∈Ω, for everysandξ, and whereLxis a positive function inLpΩ

ax, s, ξax, s, ξξξ≥0, 3.4

for anyξ, ξ ∈RN, for anysRand for almost everyxΩ

f is an element ofL. 3.5

Remark 3.1. As already mentioned in the introduction, problem1.1does not admit a weak solution under assumptions3.1–3.5since the growth ofax, u,∇uis not controlled with respect to u, the field ax, u,∇u is not, in general, defined as a distribution because the difficulty is defining the field ax, u,∇uon the subset{x ∈ Ω;ux m}ofΩ,since on this set,bu ∞.

The following notations will be used throughout the paper. For any K ≥ 0, the truncation at heightKis defined byTKr max−K, minr, K, for any positive numbersl

andK, the functionsTK

l are defined by

TlKr ⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

−K, ifr≤ −K,

r, if −Krl,

l, ifrl.

3.6

We define forn≥1 fixed

θnr T1rTnr

⎧ ⎪ ⎪ ⎪ ⎨ ⎪ ⎪ ⎪ ⎩

0, if |r| ≤n,

rn sgs, if n≤ |r| ≤n1,

sgs, if |r| ≥n1,

3.7

andSnr 1− |θnr|, for allr∈R.

The definition of a renormalized solution for Problem1.1can be stated as follows.

Definition 3.2. A measurable functionudefined onΩis a renormalized solution of Problem 1.1if

TKuW01,pΩ, ω ∀K≥0, 3.8

uxm for almost everyx∈Ω, 3.9

ax, TmKu,∇TmKuχ{u<m}∈ N

i1

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{−n−1≤ux≤−n}ax, u,∇u∇udx−→0 asn−→∞, 3.11

1

δ

{m−2δuxmδ}ax, u,∇u∇udx−→

{um}fdx asδ−→0, 3.12

and if, for every functionSinW1,Rsuch that suppSis compact andSm 0, usatisfies

Ωax, u,∇u∇

Suϕdx

ΩfSuϕdx, ∀ϕ∈W

1,p

0 Ω, ωL∞Ω. 3.13

The following remarks are concerned withDefinition 3.2.

Remark 3.3. Notice that, thanks to our regularity assumptions 3.8, 3.9, 3.10 and the choice ofS, all terms in3.13are well defined.

The following two identifications are made in3.13:

iax, u,∇u∇Suϕidentifies withax, TK

mu,∇TmKuSuϕfor almost every

x∈ Ω, whereK > 0 and suppS⊂ −K, K. As a consequence of3.8,3.9, and 3.10, and ofSW1,R, ϕW1,p

0 Ω, ωL∞Ω, it follows that

ax, TmKu,∇TmKuSuϕL, 3.14

iifSuϕL1Ω, becausefL1ΩandSuϕL∞Ω.

4. Existence Result

This section is devoted to establish the following existence theorem.

Theorem 4.1. Under assumptions3.13.5there exists a renormalized solutionuof Problem1.1.

Proof. The proof is divided into 7 steps. In Step 1, we introduce an approximate problem. Step 2is devoted to establish a few a priori estimates, the limituof the approximate solutions

is introduced and it is shown thatusatisfies3.8and3.9.Step 3is devoted to prove an energy estimateLemma 4.2which is a key point for the monotonicity arguments that are developed inStep 4.Step 5is devoted to prove thatusatisfies3.11. InStep 6we prove that

usatisfies3.12. Finally,Step 7is devoted to prove thatusatisfies3.13ofDefinition 3.2.

Step 1. Let us introduce the following regularization of the data:

r bT1 mεr

∀r∈Rforε >0, 4.1

aεx, s, ξ ax, Tm1εs, ξ a.e.inΩ, ∀s∈R, ∀ξ∈RN, 4.2

LpΩ; fε

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Let us now consider the following regularized problem:

−divaεx, uε,∇uε inΩ, 4.4

0 onΩ. 4.5

In view of3.3,4.1, and4.2,satisfy. Fori1, . . . , N

aε

ix, s, ξωix1/p

Lx σx1/pTm1εs q/p

bεsp−1

N

j1

ω1j/pxξjp−1

⎦ 4.6

a.e.x∈Ω, for alls∈R, ξ∈RN.And

αbεr≤ max

{−1rmε}br ∀r∈R. 4.7

As a consequence, proving existence of a weak solution W1,p

0 Ω, ωof4.4and

4.5is an easy tasksee, e.g., Theorem 2.1 and Remark 2.1 in Chapter 2 of17and see also 18.

Step 2. A priori estimates and pointwise convergence ofuε. UsingTKuεas a test function in4.4leads to

Ωa

εx, uε,∇uε∇TKuεdx

Ωf

εTKuεdxKf

L1Ω. 4.8

Sincesatisfies3.2,4.2, and owing to4.8we have

Ωb

εuεp−1N

i1

∂TK∂xui εpωixdxKfL1Ω, 4.9

αp−1

Ω

N

i1

∂TK∂xuiεpωixdxKfL1Ω. 4.10

From4.10we deduce with a classical argumentsee, e.g.,18that, for a subsequence still indexed byε,

−→u a.e.inΩ, 4.11

TKuε−→TKuweakly inW01,pΩ, ωand strongly inLqΩ, σ, 4.12

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Taking nowTmKuε

0 bεsdsas a test function in4.4gives

Ωa

εx, uε,∇uε∇Zεdx

Ωf

εZεdx. 4.13

Sincesatisfies3.2andbsatisfies3.1, permit to deduce from4.13that

Ω

N

i1

∂Z∂xiεpωixdxCKfL1Ω, 4.14

where|Zε| ≤m

KbsdsCKis a constant independent ofε.

Now for a fixedK >0, assumption3.3gives fori1, . . . , N,

aε

i

x, TmKuε,∇TmKuε

ωix1/p

Lx σx1/p maxK, mq/p

N

j1

ω1j/px∂Z

ε

∂xj

p−1⎤

.

4.15

In view of4.14and4.15, we deduce that

aεx, TmKuε,∇TmKuεis bounded in N

i1

LpΩ, w1ip, 4.16

then there exists a functionXK

N

i1LpΩ, w 1−p

i such that

aεx, TmKuε,∇TmKuε XKweakly in N

i1

LpΩ, wi1−p asε−→0. 4.17

To prove thatuis less or equal tomis an easy task which is performed exactly as in10,11. UsingT2mTmas a test function in4.4leads to

Ωa

εx, uε,∇uεT

2muεTmuε

dx

Ωf

εT

2muεTmuε

dx, 4.18

which implies easily that

Ωa

εx, uε,T

2muεTmuε

T2mTmuεdxmfL1Ω. 4.19

Then3.2,4.1, and4.2yield

bmεp−1

Ω

N

i1

∂T2mT

muε

∂xi

p

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With the help of Poincar´e’s inequality, we have

Ω

T2mTmuεpω0xdx

Cm

bmεp−1fL1Ω

, 4.21

whereCdoes not depend onε. Then in view of3.1,4.11, andω0 >0, we can pass to the

limit in4.21asεtends to 0, to deduce that

T2muTmu 0 a.e.inΩ,

um a.e.inΩ. 4.22

Let us now takeTKvεas a test function in4.4, wherevε

0 bεsds. We obtain

Ωa

εx, uε,∇uε∇TKvεdx

Ωf

εTKvεdxKf

L1Ω. 4.23

Then3.2yields

Ω

N

i1

∂T∂xKviεpωixdxKfL1Ω. 4.24

We deduce with a classical argument that, for a subsequence still indexed byε,

−→v a.e.inΩ, 4.25

TKvε−→TKvweakly inW01,pΩ, ω, 4.26

asεtends to 0, wherevis a measurable function defined onΩwhich is finite a.e. inΩ. Using the admissible test functionθnvεin4.4leads to

Ωa

εx, uε,∇uε∇θnvεdx

Ωf

εθnvεdx. 4.27

As a consequence of the previous convergence results, we are in a position to pass to the limit asεtends to 0 in4.27

lim ε→0

Ωa

εx, uε,∇uε∇θnvεdx

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Using the pointwise convergence of θnu to 0 as n tends to ∞ and |θnu| ≤ 1 a.e. in Ω independently of n, since fL1Ω, Lebesgue’s convergence theorem shows that

Ωfθnvdx → 0,asntends to∞. Passing to the limit in4.28we obtain

lim n→∞εlim→0

{n≤||≤n1}

aεx, uε,∇uε∇vεdx0. 4.29

Step 3. In this step we prove the following monotonicity estimate.

Lemma 4.2. The subsequence ofdefined in Step 1 satisfies for anyK0

lim ε→0

Ω

TK

muε,∇TmKuε

uεp−1 −

TK

muε,∇TmKu

uεp−1

∇TK

muε− ∇TmKu

dx0. 4.30

Proof. LetK≥0 be fixed. Equality4.30is split into

Ω

TK

muε,∇TmKuε

uεp−1 −

TK

muε,∇TmKu

uεp−1

∇TK

muε− ∇TmKu

dx

123,

4.31

where

1

Ω TK

muε,∇TmKuε

uεp−1 ∇T K

muεdx ds dt,

2

Ω TK

muε,∇TmKuε

uεp−1 ∇T K

mudx ds dt,

3

Ω TK

muε,∇TmKu

uεp−1

∇TK

muε− ∇TmKu

dx ds dt.

4.32

In the sequel we pass to the limit in4.31whenεtends to 0.

Limit of

A

ε1

Using the admissible test functionSnvεTK mu

0 1/bs

p−1dsin4.4leads to

ΩSnv

εaεx, uε,∇uε∇TmKu

bup−1dx

Ωa

εuε,∇uε∇Snvε·

TK

mu

0

1

bsp−1ds

dx

Ωf

εSnvε

TK mu

0

1

bsp−1dsdx,

4.33

where

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Since suppSn⊂−n1, n1and{x∈Ω;|vε| ≤n1} ⊂ {xΩ;|uε| ≤n1/α}, we have fori1, . . . , Nandεα/n1

aε

ix, uε,∇uεSnvεaεi

x, Tn1 uε,∇Tn1/αuε

Snvε

SnLRωix1/p

Lx σx1/pTn1/αuεq/p

N j1

ωj1/px∂Tn1v

ε

∂xj

p−1⎤

.

4.34

In view of4.24,4.34we deduce that for fixedn≥1:

aεx, Tn1/αuε,∇Tn1/αuεSnvεis bounded in

N

i1

LpΩ, w1ip, 4.35

independently ofεα/n1. Then there exists a functionYnNi1LpΩ, w 1−p

i such that for fixedn≥1:

Snvεaεx, Tn1/αuε,∇Tn1/αuε Yn weakly in N

i1

LpΩ, w1ip asε−→0.

4.36

Now for maxK, mn/α, we have

Snvεaεx, T

n1/αuε,∇Tn1/αuε

χ{−K<uε<m}

Snvεaεx, TKmuε,∇TKmuεχ{−K<uε<m}

4.37

a.e. inΩ,which implies that, through the use of4.17,4.25, and4.36and passing to the limit asεtends to 0,

Ynχ{−K<u<m}SnvXKχ{−K<u<m} 4.38

a.e. inΩ− {{u−K} ∪ {um}} for maxK, mn/α. As a consequence of4.38we have for maxK, mn/α

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We are now in a position to exploit4.33, which gives together with4.36and4.39

lim ε→0

ΩSnv

εaεx, uε,∇uε∇TmKu

bup−1dx

lim ε→0

ΩSnv

εaεx, T

n1/αuε,∇Tn1/αuε∇T

K mu

bup−1dx

ΩYn

∇TK

mu

bup−1 dx

ΩSnvXK

∇TK

mu

bup−1dx.

4.40

Passing to the limit asntends to∞in4.40leads to

lim n→∞εlim→0

ΩSnv

εaεx, uε,∇uε∇TmKu

bup−1dx

ΩXK

∇TK

mu

bup−1dx. 4.41

The second term of4.33

Ωa

εx, uε,∇uε∇Snvε.

TK

mu

0

1

bsp−1ds

dx

≤ maxm, K

αp−1

{n≤||≤n1}

aεx, uε,∇uε∇vεdx.

4.42

Then4.29implies that

lim n→∞εlim→0

Ωa

εx, uε,∇uε∇Snvε.

TK

mu

0

1

bsp−1ds

dx0. 4.43

In view4.41and4.43, passing to the limit asεtends to 0 and asntends to∞in4.33is an easy task and leads to

ΩXK

∇TK

mu

bup−1 dx

Ωf TK

mu

0

1

bsp−1ds dx. 4.44

We are now in a position to exploit4.44. The use of the test functionTmKuε

0 1/bεs

p−1dsin4.4, yields

Ωa

εx, uε,∇uε∇TmKuε

uεp−1dx

Ωf

ε

TK muε

0

1

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Passing to the limit asεtends to 0 in4.45, in view4.44, we have

lim ε→0A

ε

1εlim0

Ωa

εx, uε,∇uε∇TmKuε

uεp−1dx

ΩXK

∇TK

mu

bup−1 dx. 4.46

Limit of

A

ε2

In view of4.12,4.17and since 1/bεuεp−1converges to 1/bup−1a.e. inΩand due to the

bound 1/bεuεp−11p−1a.e. inΩ, we have

lim ε→0A

ε

2−

ΩXK

∇TK

mu

bup−1dx. 4.47

Limit of

A

ε3

Let us remark that3.1,4.1, and4.11imply that

x, TK

muε,∇TmKu

uεp−1 −→

ax, TK

mu, DTmKu

bup−1 a.e.inΩ, 4.48

asεtends to 0, and that fori1, . . . , N

iTmKuε,∇TmKu uεp−1

w1i/px

⎣ 1

αp−1Lx

maxK, mq/p

αp−1 σ

1/px N j1

w1j/p∂T

K mu

∂xj

p−1⎤

4.49

a.e. inΩ, uniformly with respect toε. It follows that whenεtends to 0

ax, TK

muε,∇TmKu

uεp−1 −→

ax, TK

mu,∇TKu

bup−1 strongly in

N

i1

LpΩ, w1ip. 4.50

In view of4.12, we conclude that

∇TK

muε− ∇TmKu

0 weakly in N

i1

LpΩ, wi, asεgoes to 0. 4.51

As a consequence of4.50and4.51we have for allK >0

lim ε→0A

ε

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Equations4.46,4.46,4.47, and4.46allow to pass to the limit asεtends to zero in4.31 and to obtain4.30ofLemma 4.2.

Step 4. In this step we identify the weak limitXKand we prove the weakL1convergence of the “truncated” energyx, TK

muε,∇TmKuε/bεuεp−1∇TmKuεasεtends to 0. Lemma 4.3. For fixedK0, one has

XKa

x, TmKu,∇TmKu a.e.in{x∈Ω;ux< m}. 4.53

And asεtends to 0

x, TK

muε,∇TmKuε

uεp−1 ∇T

K muε

ax, TK

mu,∇TmKu

bup−1 ∇T

K

muweakly inL. 4.54

Proof. LetK≥0 be fixed. From4.11and4.50together with4.30ofLemma 4.2, we obtain

lim ε→0

Ω

x, TK

muε,∇TmKuε

bTmKuε

p−1 ∇T

K

muεdx

Ω

XK

bTmKu

p−1 ∇TKudx. 4.55

We remark the monotone characterawith respect toξand since 1/bεuεp−1 converges to

1/bup−1a.e. inΩand due to the bound 1/bεuεp−1≤1/αp−1a.e. inΩ, we conclude that for allψNi1LpΩ, wiwe have

0≤lim ε→0

Ω

x, TK

muε,∇TmKuε

uεp−1 −

x, TK muε, ψ

uεp−1

∇TK

muεψ

dx

lim ε→0

Ω

x, TK

muε,∇TmKuε

uεp−1

∇TK

muεψ

dx

−lim

ε→0

Ω

x, TK muε, ψ

uεp−1

∇TK

muεψ

dx Ω XK

bup−1

∇TK

muψ

dx

Ω

ax, TK mu, ψ

bup−1

∇TK

muψ

dx × Ω XK

bup−1 −

ax, TK mu, ψ

bup−1

∇TK

muψ

dx.

4.56

The usual Minty’s argument applies in view of4.56. It follows that

XK

bup−1

ax, TK

mu,∇TmKu

bup−1 a.e.inΩ 4.57

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In order to prove4.54, we observe that the monotone character ofawith respect to ξand4.30give

aεx, TmKuε,∇TmKuε uεp−1 −

aεx, TmKuε,∇TmKu uεp−1

∇TK

muε− ∇TmKu

−→0 4.58

strongly inL1Ωasεtends to 0. Moreover4.12,4.17,4.50, and4.53imply that

x, TK

muε,∇TmKuε

uεp−1 ∇T

K mu

ax, TK

mu,∇TmKu

bup−1 ∇T

K

mu 4.59

weakly inL1Ωasεtends to 0

x, TK

muε,∇TmKu

uεp−1 ∇T

K muε

ax, TK

mu,∇TmKu

bup−1 ∇T

K

mu 4.60

weakly inL1Ωasεtends to 0, and

x, TK

muε,∇TmKu

uεp−1 ∇T K mu

ax, TK

mu,∇TmKu

bup−1 ∇T

K

mu 4.61

strongly inL1Ωasεtends to 0.

Using the above convergence results4.59,4.60, and4.61in4.58we obtain that for anyK≥0

x, TK

muε,∇TmKuε

uεp−1 ∇T

K muε

ax, TK

mu,∇TmKu

bup−1 ∇T

K

mu 4.62

weakly inL1Ωasεtends to 0.

Step 5. In this step we prove thatusatisfies3.11. UsingTn1

m Tmnuεas a test function in4.4leads to

Ωa

εx, uε,∇uεTn1

m Tmnuε

dx

Ωf

εTn1

m Tmnuε

(15)

Since suppTn1

m ·−Tmn·⊂−n1,−n, we have

{−n−1≤x≤−n}

aεx, uε,∇uε∇uεdx

Ωa

εx, uε,∇uεTn1

m Tmnuε

dx

Ω

x, uε,∇uε

uεp−1 ∇

Tmn1TmnuεbTmn11uεp−1dx

Ω

x, Tn1

m uε,∇Tmn1

uεp−1 ∇T

n1

m uεb

Tmn11uεp−1dx

Ω

x, Tn

muε,∇Tmnuε

uεp−1 ∇T n muεb

Tmn11uεp−1dx.

4.64

In view of4.54ofLemma 4.3and sincebTmn11uεp−1 converges tobTmn11up−1a.e. inΩ and due to the boundbTn1

m−1

p−1 max

s∈−n−1,m−1bsp−1 a.e. inΩ, we can pass to the

limit asεtends to 0 for fixedn≥0 to obtain

lim ε→0

{−n−1≤x≤−n}

aεx, uε,∇uε∇uεdx

Ω

ax, Tn1

m u,∇Tmn1u

bup−1 ∇T

n1

m ub

Tn1

m−1u

p−1

dx

Ω ax, Tn

mu,∇Tmnu

bup−1 ∇T

n mub

Tmn11up−1dx

{−n−1≤ux≤−n}ax, u,∇u∇udx.

4.65

Taking the limit asεtends to 0 andntends to∞in4.63and using the estimate4.64and 4.65show that

lim n→∞

{−n−1≤ux≤−n}ax, u,∇u∇udx≤nlim→∞

{u≤−n}

fdx0. 4.66

Step 6. In this step we prove thatusatisfies3.12. UsingSnvε1T

mδuTm−2δuas a test function in4.4leads to

1

δ

ΩSnv

εaεx, uε,∇uεT

mδuTm−2δu

dx

ΩSnv

εfε

TmδuTm2δu

δ dx,

(16)

where

0 bεsds. Since suppSn ⊂ −n1, n1and{x ∈ Ω;|vε| ≤n1} ⊂ {x ∈

Ω;|uε| ≤n1/α}we have

1

δ

ΩSnv

εaεx, uε,∇uεT

mδuTm−2δu

dx

1

δ

ΩSnv

εaεx, T

n1/αuε,∇Tn1/αuε

TmδuTm2δudx.

4.68

In view of4.22,4.36,4.39, and4.53, passing to the limit asεtends to 0 andntends to ∞

lim n→∞εlim→0

1

δ

ΩSnv

εaεx, T

n1/αuε,∇Tn1/αuεTmδuTm−2δu

dx

lim n→∞

1

δ

ΩSnva

x, Tn1/αu,∇Tn1/αu

TmδuTm2δudx

lim n→∞

1

δ

ΩSnvax, Tmδu,∇Tmδu

TmδuTm2δudx

1

δ

Ωax, Tmδu,∇Tmδu

TmδuTm2δudx

1

δ

{m−2δumδ}ax, u,∇u∇udx.

4.69

Taking the limit asεtends to 0,ntends to∞andδtends to 0 in4.67and using the estimate 4.68and4.69show that

lim δ→0

1

δ

{m−2δumδ}

ax, u,∇u∇udx lim δ→0

Ωf

TmδuTm2δu

δ dx

{um}fxdx.

4.70

Step 7. In this step,uis shown to satisfy3.13. LetϕW01,pΩ, ωL∞Ωand letSbe a function inW1,Rsuch that Shas a compact support andSm 0. LetKbe a positive real number such that suppS ⊂ −K, Kand

0 bεsds. UsingSuSnvεϕas a test

function in4.4leads to

ΩSnv

εaεx, uε,∇uεSuϕdx

ΩSuϕa

εx, uε,∇uε∇Snvεdx

Ωf

εSnvεSuϕdx.

4.71

(17)

Limit of First Term in

4.71

Since suppSn⊂−n1, n1and{x∈Ω;|vε| ≤n1} ⊂ {x∈Ω;|uε| ≤n1/α}, we have

Snvεaεx, uε,∇uε Snvεaεx, Tn1/αuε,∇Tn1/αuε

a.e.inΩ. 4.72

In view of4.22,4.36,4.39, and4.53, passing to the limit asεtends to 0

lim ε→0

ΩSnv

εaεx, uε,∇uεSuϕdx

lim ε→0

ΩSnv

εaεx, T

n1/αuε,∇Tn1/αuεSuϕdx

ΩSnva

x, Tn1/αu,∇Tn1/αuSuϕdx

ΩSnva

x, TmKu,∇TmKuSuϕdx,

lim n→∞εlim→0

ΩSnv

εaεx, uε,∇uεSuϕdx

lim n→∞

ΩSnva

x, TmKu,∇TmKuSuϕdx

Ωa

x, TmKu,∇TmKuSuϕdx

Ωax, u,∇u∇

Suϕdx.

4.73

Limit of Second Term in

4.71

Since suppSn⊂−n1,−n∪n1, nfor anyn≥1. As a consequence

ΩSuϕa

εx, uε,∇uε∇SnvεdxS

LΩϕLΩ

{n≤||≤n1}

aεx, uε,∇uε∇vεdx.

4.74

Taking the limit asεtends to 0 andntends to∞in4.74and using the estimate4.29show that

lim n→∞εlim→0

ΩSuϕaεx, uε,∇uε∇Snvεdx0. 4.75

Limit of the Right-Hand Side of

4.71

Due to4.3and4.25, we have

lim n→∞εlim→0

Ωf

εSnvεSuϕdx

(18)

As a consequence of the previous convergence results, we are in a position to pass to the limit asεtends to 0 in4.71and to conclude thatusatisfies3.13. The proof of Theorem 4.1is achieved.

Acknowledgment

The author would like to thank the anonymous referees for interesting remarks.

References

1 R.-J. DiPerna and P.-L. Lions, “On the Cauchy problem for Boltzmann equations: global existence and weak stability,” Annals of Mathematics, vol. 130, no. 2, pp. 321–366, 1989.

2 P.-L. Lions, Mathematical Topics in Fluid Mechanics. Vol. I: Incompressible Models, vol. 3 of Oxford Lecture

Series in Mathematics and Its Applications, Oxford University Press, Oxford, UK, 1996.

3 L. Boccardo, D. Giachetti, J.-I. D´ıaz, and F. Murat, “Existence and regularity of renormalized solutions for some elliptic problems involving derivatives of nonlinear terms,” Journal of Differential Equations,

vol. 106, no. 2, pp. 215–237, 1993.

4 F. Murat, “Soluciones renormalizadas de EDP el´ıpticas no lineales,” Internal Report R93023, Cours `a l’Universit´e de S´eville, Laboratoire d’Analyse Num´erique, Paris VI, Paris, France, 1993.

5 F. Murat, “Equations elliptiques non lin´eaires avec second membresL1ou mesure,” in Comptes Rendus

du 26`eme Congr`es National d’Analyse Num´erique Les Karellis, pp. A12–A24, Les Karellis, France, June

1994.

6 D. Blanchard and H. Redwane, “Renormalized solutions for a class of nonlinear evolution problems,”

Journal de Math´ematiques Pures et Appliqu´ees, vol. 77, no. 2, pp. 117–151, 1998.

7 D. Blanchard, F. Murat, and H. Redwane, “Existence and uniqueness of a renormalized solution for a fairly general class of nonlinear parabolic problems,” Journal of Differential Equations, vol. 177, no. 2,

pp. 331–374, 2001.

8 P. B´enilan, L. Boccardo, T. Gallou¨et, R. Gariepy, M. Pierre, and J.-L. V´azquez, “An L1-theory of existence and uniqueness of solutions of nonlinear elliptic equations,” Annali della Scuola Normale

Superiore di Pisa, vol. 22, no. 2, pp. 241–273, 1995.

9 D. Blanchard and H. Redwane, “Sur la r´esolution d’un probl`eme quasi-lin´eaire `a coefficients singuliers par rapport `a l’inconnue,” Comptes Rendus de l’Acad´emie des Sciences I, vol. 1325, pp. 993–998, 1997.

10 D. Blanchard and H. Redwane, “Quasilinear diffusion problems with singular coefficients with respect to the unknown,” Proceedings of the Royal Society of Edinburgh A, vol. 132, pp. 1–28, 2002.

11 D. Blanchard, O. Guib´e, and H. Redwane, “Nonlinear equations with unbounded heat conduction and integrable data,” Annali di Matematica Pura ed Applicata, vol. 187, no. 3, pp. 405–433, 2008.

12 C. Garc´ıa V´azquez and F. Orteg ´on Gallego, “Sur un probl`eme elliptique non lin´eaire avec diffusion singuli`ere et second membre dansL1,” Comptes Rendus de l’Acad´emie des Sciences I, vol. 1332, pp. 145– 150, 2001.

13 C. Garc´ıa V´azquez and F. Orteg ´on Gallego, “On certain nonlinear parabolic equations with singular diffusion and data inL1,” Communications on Pure and Applied Analysis, vol. 4, no. 3, pp. 589–612, 2005.

14 L. Orsina, “Existence results for some elliptic equations with unbounded coefficients,” Asymptotic

Analysis, vol. 34, no. 3-4, pp. 187–198, 2003.

15 P. Dr´abek, A. Kufner, and F. Nicolosi, Nonlinear Elliptic Equations, Singular and Degenerate Cases, University of West Bohemia, 1996.

16 P. Dr´abek, “Strongly nonlinear degenerated and singular elliptic problems,” in Nonlinear Partial

Differential Equations, vol. 343 of Pitman Research Notes in Mathematics Series, pp. 112–146, Longman,

Harlow, UK, 1996.

17 J.-L. Lions, Quelques M´ethodes de R´esolution des Probl`emes aux Limites non Lin´eaires, Dunodet et Gauthier-Villars, Paris, France, 1969.

References

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