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ISSN: 1072-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu

NONLINEAR DEGENERATE ELLIPTIC EQUATIONS IN WEIGHTED SOBOLEV SPACES

AHARROUCH BENALI, BENNOUNA JAOUAD

Abstract. We study the existence of solutions for the nonlinear degenerated elliptic problem

diva(x, u,∇u) =f in Ω, u= 0 on∂Ω,

where Ω is a bounded open set inRN,N2,ais a Carath´eodory function having degenerate coercivitya(x, u,∇u)∇u ν(x)b(|u|)|∇u|p, 1< p < N, ν(·) is the weight function,bis continuous andfLr(Ω).

1. Introduction

In this article we prove the existence of solutions for some nonlinear elliptic equations with principal part having degenerate coercivity. The model case is

−divν(·)|∇u|p−2∇u (1− |u|)α

=f in Ω, u= 0 on∂Ω,

(1.1) with Ω a bounded open subset of RN, N ≥ 2, p > 1, α ≥ 0, ν(·) is weight function defined on Ω andf a measurable function on whose summability we will make different assumptions. It is clear from the above example that the differential operator is defined on W01,p(Ω, ν), but that it may not be coercive on the same space asunear to 1. Because of this lack of coercivity, standard existence theorems for solutions of nonlinear elliptic equations cannot be applied. We consider the nonlinear degenerate elliptic problem

A(u) =−div(a(x, u,∇u)) =f in Ω, u= 0 on∂Ω,

where, Ω is a bounded open subset ofRN,N ≥2, 1< p < N, anda: Ω×R×RN → RN is a Carath´eodory function, such that the following assumption holds

a(x, s, ξ).ξ≥ν(x)b(|s|)|ξ|p, for almost everyxin Ω, for every (s, ξ)∈R×RN, with

b(|s|) = 1/(1− |s|)α, (1.2)

2010Mathematics Subject Classification. 35J70, 46E30, 35J85.

Key words and phrases. Nonlinear degenerated elliptic operators; weighted Sobolev space;

monotony and rearrangement methods.

c

2020 Texas State University.

Submitted December 4, 2019. Published October 12, 2020.

1

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under various assumptions on f. As stated before, due to assumption (1.2), the operator A may not be coercive on W01,p(Ω, ν), when the solutions approach the critical values±1. To overcome this difficulties, we will reason by approximation, cutting by means of truncatures the nonlinearitya(x, s, ξ) in order to get coercive differential operator on W01,p(Ω, ν), and give a sense to the equation when the solutions near to±1 and to manage the set{x∈Ω : |u(x)|= 1}. For the caseν(·) being a constant, the existence of solutions to problem (1.1) is proved in [11], when f a measurable function on whose summability have make different assumptions, the analogous problems was treated by many other authors. See, for example, [3, 4, 9, 10, 8] where problems such as

−div 1

(1± |u|)α|∇u|p−2∇u

=f, are considered.

This article is organized as follows: In section 2, we recall some preliminaries on Weighted Sobolev spaces and properties of rearrangement. In section 3, we first prove the propositions that we will use to prove some a priori estimates of the solutions, then we prove the existence of weak and entropy solution with respect to the summability off.

2. Preliminaries

Assumptions. Letb : [0, l[→ (0,∞), with l > 0, be a continuous function such that

lim

s→lb(s) = +∞. (2.1)

We define

A(s) = Z s

0

b(t)p−11 dt, fors∈[0, l), A(l) = lim

s→l

Z s

0

b(t)p−11 dt= +∞.

We study Dirichlet problems of the form

−diva(x, u,∇u) =f in Ω,

u= 0 on∂Ω, (2.2)

where Ω is a bounded open set inRN,N ≥2, 1< p < N, anda: Ω×(−l, l)×RN → RN, is a Carath´eodory function andν : Ω→R+satisfies the following assumptions:

a(x, s, ξ)·ξ≥b(|s|)ν(x)|ξ|p, ν∈Lr(Ω), r≥1, ν−1∈Lt(Ω), t≥N, 1 + 1

t < p < N(1 +1

t). (2.3) for a.e.x∈Ω, for alls∈(−l, l) and allξ∈RN;

|a(x, s, ξ)| ≤ν(x)[h(x) +b(|s|)|ξ|p−1], (2.4) for a.e.x∈Ω, for alls∈(−l, l), for allξ∈RN, andh∈Lp0(Ω, ν);

(a(x, s, ξ)−a(x, s, ξ0))·(ξ−ξ0)>0, (2.5) for a.e.x∈Ω, for alls∈(−l, l) and allξ∈RN,ξ6=ξ0. Moreover,f is a measurable function on whose summability we will make several assumptions.

For stating existence results in the next section, we need some classes of solutions.

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Definition 2.1. We say thatu∈W01,p(Ω, ν) is a weak solution to problem (2.2) if Z

a(x, u,∇u)· ∇ϕ dx= Z

f ϕ dx, ∀ϕ∈W01,p(Ω, ν). (2.6) Definition 2.2. A measurable function u∈ W01,p(Ω, ν) is an entropy solution to problem (2.2) if

|u| ≤l a.e. in Ω (2.7)

and for all 0< k < l, Z

a(x, u,∇u)· ∇Tk(u−ϕ)dx≤ Z

f Tk(u−ϕ)dx, (2.8) for anyϕ∈W01,p(Ω, ν)∩L(Ω) such thatkϕkL(Ω)< l−k.

Weighted Sobolev spaces. Let 1≤p < N, andν : Ω→Rbe a weight function, i.e. a function which is measurable and positive almost everywhere in Ω. The weighted Lebesgue spacesLp(Ω, ν) is defined as

Lp(Ω, ν) =

u: measurable, real-valued function, Z

ν(x)|u(x)|pdx <∞ . which is a Banach space (uniformly convex and hence reflexive ifp >1) equipped with the norm

kukLp(Ω,ν)=Z

ν(x)|u(x)|pdx1/p .

By W1,p(Ω, ν) we denote the completion of the spaceC1(Ω) with respect to the norm

kukW1,p(Ω,ν)=kukLp(Ω,ν)+k|∇u|kLp(Ω,ν).

Moreover we denote by W01,p(Ω, ν) the closure of C1(Ω) in W1,p(Ω, ν) which is normed by

kukW1,p

0 (Ω,ν)=k|∇u|kLp(Ω,ν).

We denote by W−1,p0(Ω,1/ν) the dual space ofW01,p(Ω, ν); for more details see [16].

Rearrangement properties. We recall some definitions about decreasing re- arrangement of functions. Let Ω be a bounded open set of RN and u : Ω → R a measurable function.

Definition 2.3. The distribution function ofuis defined as µu(t) =|{x∈Ω :|u(x)|> t}|, t≥0.

The functionµu is decreasing and right continuous.

Definition 2.4. The decreasing rearrangement of uis defined as u(s) := sup{t≥0 :µu(t)> s}, s≥0.

The functionu is the generalized inverse ofµu. We recall that Z

|u|pdx=p Z +∞

0

tp−1µu(t)dt, forp≥1. (2.9) Then theLp-norm, for 1 ≤p <+∞, is invariant with respect to rearrangement, that is,

kukLp(Ω)=kukLp[0,|Ω|].

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Moreover, ifu∈L(Ω), by definitionu(0) = ess sup|u|. For more details about rearrangements we refer the reader to [6, 13, 18]. We recall that a measurable functionu: Ω→Rbelongs to the Marcinkiewicz spaceMp(Ω) (or weak-Lp) if the distribution functionµu satisfies

µu(t)≤ c

tr, ∀t >0,

for some constantc. We observe that the above condition is equivalent to u(s)≤ c

s1/r, ∀s >0, and we define

kukMp(Ω)= sup

s>0

u(s)s1/r.

We observe that the Marcinkiewicz spaces are “intermediate” between Lebesgue spaces. Indeed, it is not difficult to show that

Lp(Ω)⊂Mp(Ω)⊂Lq(Ω),

for 1≤q < p. Now, we give a sense to the gradient of a functionu∈L1(Ω) such that the truncates ofuare Sobolev functions.

Lemma 2.5([7]). For each measurable functionu: Ω→Rsuch that for everyk >

0 the truncated functionTk(u)belong to Wloc1,1(Ω), there exists a unique measurable function v: Ω→RN such that

∇Tk(u) =vχ|u|<k a.e. inΩ. (2.10) Furthermore,u∈W01,1(Ω)if and only ifv∈L1loc(Ω), and thenv=∇uin the usual weak sense.

Now we recall some Sobolev-type inequalities which will be used later.

Lemma 2.6 ([16]). Let ν be a nonnegative function on Ω such that ν ∈ Lr(Ω), r≥1,ν−1∈Lt(Ω),t≥N. And letp, p] be two real number that satisfyt≥N/p, 1 + 1t < p < N(1 + 1t),1/p]= 1/p(1 +1t)−N1. Then

kukp] ≤c0k∇ukLp(ν), ∀u∈W01,p(Ω, ν).

Lemma 2.7. Suppose thatλ >0 and1≤γ <+∞. Letψa non-negative measur- able function on (0,+∞). Then the

Z +∞

0

t−λ

Z t

0

ψ(s)dsγdt t ≤c

Z +∞

0

(t1−λψ(t))γdt

t , , (2.11) Z +∞

0

tλ

Z +∞

t

ψ(s)dsγdt t ≤c

Z +∞

0

(t1+λψ(t))γdt

t . (2.12)

Also we shall need the following proposition of weak approximation (see [5]). Let u∈W01,p(Ω), and fors∈[0,|Ω|], letG(s) be a measurable subset of Ω such that

|G(s)|=s s1< s2⇒G(s1)⊂G(s2) G(s) ={x∈Ω :|u(x)|> t} ifs=µ(t).

For a given a functionϕ∈L1(Ω), we set φ(s) = d

ds Z

G(s)

ϕ(x)dx.

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Lemma 2.8 ([5]). If ϕ∈Lp(Ω) withp >1, then there exists a sequence (ϕ(s))n, such that ϕn(s) =ϕ(s) andϕn * φweakly inLp(0,|Ω|).

3. Main result

The following Proposition gives a sufficient condition for the gradient of a func- tion to belong to some Marcinkiewicz space, These are the generalized results of [7]

in the Weighted Sobolev spacesW01,p(Ω, ν).

Proposition 3.1. Let 1< p < N, andu∈ T01,p(Ω, ν)be such that Z

{|u|<k}

|∇u|pν(x)dx≤M kλ

for every k >0. Then u∈ Mp1(Ω) wherep1=p](1−λ/p). More precisely, there exists ac such thatmeas{|u|> k}= meas{x∈Ω :|u(x)|> k} ≤ck−p1.

Proof. Fork >0, from (2.3), we have

kTk(u)kp] ≤c1k∇Tk(u)kLp(ν)≤c1kλ/p.

For 0< ε≤k, we have{x∈Ω :|u|> ε}={x∈Ω :|Tk(u)|> ε}. Hence meas{|u|> ε} ≤(kTk(u)kp]

ε )p] ≤c1kλp]/pε−p].

Settingε=k, we obtain meas{|u|> ε} ≤c1k−p1, wherep1=p](1−λ/p).

Proposition 3.2. Let 1< p < N, andu∈ T01,p(Ω, ν)be such that Z

{|u|<k}

|∇u|pν(x)dx≤M kλ

for everyk >0. Thenν1/p∇u∈ Mp2(Ω) wherep2=pp1/(λ+p1). More precisely, there exists ac such that meas{ν1/p|∇u|> h} ≤ch−p2.

Proof. Fork, h >0. Setφ(k, α) = meas{ν(x)|∇u|p > α, |u|> k}. From Proposi- tion 3.1 we have

φ(k,0)≤c1k−p1.

Using that the functionα7→φ(k, α) is non-increasing, fork, λ >0 we obtain φ(0, α)≤1

α Z α

0

φ(0, s)ds

=1 α

Z α

0

φ(0, s) +φ(k,0)−φ(k,0)ds

≤φ(k,0) + 1 α

Z α

0

φ(0, s)−φ(k,0)ds

≤φ(k,0) + 1 α

Z α

0

φ(0, s)−φ(k, s)ds.

(3.1)

Sinceφ(0, s)−φ(k, s) = meas{ν(x)|∇u|p> s, |u|< k}we have 1

α Z α

0

φ(0, s)−φ(k, s)ds= 1 α

Z

|u|<k

ν(x)|∇u|pdx≤ckλ α, which by (3.1) gives

φ(0, α)≤c1k−p1+c2kλ

α . (3.2)

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By minimizing (3.2) inkand settingα=hpwe obtain meas{ν1/p|∇u|> k} ≤ch−pp1/(λ+p1)

3.1. A priori estimate. Letεbe positive and sufficiently small. We consider the problem

−divaε(x, uε,∇uε) =fε in Ω,

uε= 0 on∂Ω, (3.3)

where aε(x, s, ξ) = a(x, Tl−ε(s), ξ), with x ∈ Ω, s ∈ R and ξ ∈ RN and fε ∈ L(Ω). We use some classical results (see, for example [1, 2]) to assure that problem (3.3) has at least one solutionuε∈W01,p(Ω, ν)∩L(Ω). Then, we define bε(t) = b(Tl−ε(t)) for allt∈[0,+∞), and

Aε(s) = Z s

0

bε(r)1/(p−1)dr.

First, we prove an integral inequality for weak solutions of problem (3.3).

Proposition 3.3. Let uε be a weak solution of (3.3). Then Aε(uε(s))≤CN

Z |Ω|

s

r−p0/N0[D(r)]p0/pZ r 0

fε(σ)dσp0/p

dr, s∈[0,|Ω|], (3.4) whereD: [0,|Ω|]→Ris a measurable function such that

Z

|uε|>y

ν−t(x)dx= Z µ(y)

0

(D(r))tdr.

Proof. Letφ=Th(uε−Tθ(uε)) be a test function in (3.3). Then we have 1

h Z

θ<|uε|≤θ+h

b(|uε|)ν(x)|∇uε|pdx≤ Z

|uε|>θ

|f|dx

Applying Hardy-Littlewood inequality and passing to the limit onhto 0, we obtain b(θ)

− d dθ

Z

|uε|>θ

ν(x)|∇uε|pdx

Z µ(θ)

0

fε(s)ds. (3.5) On the other hand by H¨older inequality, we obtain

−d dθ

Z

|uε|>θ

|∇uε|dx≤

− d dθ

Z

|uε|>θ

ν(x)|∇uε|pdx1/p

×

− d dθ

Z

|uε|>θ

ν−p0/p(x)dx1/p0

− d dθ

Z

|uε|>θ

ν(x)|∇uε|pdx1/p

×

− d dθ

Z

|uε|>θ

ν−t(x)dx1/r1p0

(−µ0uε(θ))1/r2p0. (3.6)

where 1/r1+ 1/r2 = 1 andp0r1/p =t. By Lemma 2.8, since ν−1 ∈ Lt(Ω), t > 1 there existsD∈Lt([0,|Ω|]) such that

−d dθ

Z

|uε|>θ

ν−t(x)dx=−µ0u

ε(θ)[D(µuε(θ))]t.

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Then inequality (3.6), becomes

−d dθ

Z

|uε|>θ

|∇uε|dx≤

− d dθ

Z

|uε|>θ

ν(x)|∇uε|pdx1/p

× (−µ0u

ε(θ))1/p0[D(µuε(θ))]t/r1p0 .

(3.7)

From isoperimetric inequality and Fleming-Rishel formula (see [15]), it follows that CNb(θ)1/puε(θ))1/N0

− d dθ

Z

|uε|>θ

ν(x)|∇uε|pdx1/p

×

(−µ0uε(θ))1/p0[D(µuε(θ))]t/r1p0b(θ)1/p ,

(3.8)

which by (3.5) gives

b(θ)1/(p−1)≤CNuε(θ))−p0/N0(−µ0uε(θ))[D(µuε(θ))]t/r1Z µ(θ) 0

fε(s)dsp0/p

integrating between 0 andu(s) we obtain A(u(s))≤CN

Z u(s)

0

h

uε(θ))−p0/N0(−µ0uε(θ))[D(µuε(θ))]t/r1

×Z µ(θ) 0

fε(s)dsp0/pi dθ,

(3.9)

which gives the results.

Remark 3.4. Since 1 + 1t < p < N(1 + 1t), and t≥N/p, we have qp0/p≥1 and q/r10 ≥1, where r1 =t(p−1), which allows us to apply the Proposition 2.11 and Proposition 2.12 to prove estimation (3.10) and (3.11), below.

Proposition 3.5. Let uε be a solution of (3.3).

(a) If 1< r < tN/(tp−N), then

k(Aε(|uε|))qkL1(Ω)≤ckfkqpLr0(Ω)/p; (3.10) whereq=rtN(p−1)/(t(N−rp) +rN).

(b) If r= 1, then

kAε(|uε|)kMN t(p−1)/(N+t(N−p)) ≤ckfkpL01/p(Ω)kDkpL0t/p[0,|Ω|]. (3.11) Proof. Case 1 < r < tN/(tp−N). Let us observe that Aε being monotone, by Proposition 3.3, properties of rearrangements, (2.12) and (2.11), we obtain

k(Aε(|uε|))qkL1(Ω)≤CN

Z +∞

0

hZ |Ω|

s

r−p0/N0[D(r)]p0/pZ r 0

f(σ)dσp0/p

driq

ds

≤CN

Z +∞

0

hZ |Ω|

s

r

p0r0 1 N0

Z r

0

f(σ)dσ

p0r0 1 p drirq0

1ds

≤CN

Z +∞

0

h s

r0 1 q

Z |Ω|

s

r

p0r0 1 N0

Z r

0

f(σ)dσ

p0r0 1 p drirq0

1ds s

≤CN

Z +∞

0

h s(

r0 1 +q

q pN0r010) p

p0r0 1

Z s

0

f(σ)dσiqp

0 p ds

s

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≤CN Z +∞

0

h s(

r0 1 +q

q p

0r0 0N1) p

p0r0 1

+1f(s)iqp

0 p ds

s

≤CN Z +∞

0

h s(

r0 1 +q

q p

0r0 1 N0 ) p

p0r0 1

+1−qpp0

f(s)iqp

0 p ds,

where qpp0 ≥ 1, p0pr1 = t, and CN a constant that vary from line to line. Since fε∈Mr(Ω) we conclude that

k(Aε(|uε|))qkL1(Ω)≤CN

Z +∞

0

(f(s))−rq(

1 r0 1

Np00+pp0)+qpp0

ds

≤CNkfkrLr([0,|Ω|]).

(3.12) where

r=−rq(1 r01 − p0

N0 +p0 p) +qp0

p , q= rtN(p−1) t(N−rp) +rN. Caser= 1. By Proposition 3.3, and H¨older inequality, we have

Aε(u(s))≤CN

Z |Ω|

s

r−p0/N0[D(r)]p0/pZ r 0

f(σ)dσp0/p

dr

≤CNkDkLt[0,|Ω|]

Z |Ω|

s

r

p0t(p−1) N0(tp−t−1)

tp−t−1t(p−1)

≤CNkDkLt[0,|Ω|]s1−

p0t(p−1) N0(tp−t−1)

which implies the result.

Remark 3.6. Sincep/N <1 + 1t, (see (2.3)), we have N tp

N t(p−1)−N+tp >1.

Proposition 3.7. Let uε be a solution of (3.3).

(a) If N t(p−1)−N+tpN tp < r < tp−NtN , then

k∇Aε(|uε|)kLp(Ω,ν)≤c1. (3.13) (b) If

max 1, tN p

N t(p−1)p+pt−N

< r < tN p

N t(p−1) +pt−N, then

k∇Aε(|uε|)kLβ(Ω,νβ/p)≤c2, (3.14) whereβ =rNrN t(p−1)p+N tp−ptr.

(c) If

1≤r≤max 1, tN p

N t(p−1)p+pt−N , then

1/p∇Aε(|uε|)kMβ(Ω)≤c3, (3.15) whereβ =rNrN t(p−1)p+N tp−ptr.

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Proof. Let uε is a solution of (3.3), by the definition of Aε we can use as test functionv= [Th(Aε(|uε|)−Tθ(Aε(|uε|)] sign(uε) and obtain

Z

θ<Aε(|uε|)≤θ+h

ν(x)|∇Aε(|uε|)|pdx≤ Z

Aε(|uε|)>θ

|fε|dx, (3.16) Case 1: N t(p−1)−N+tpN tp < r < tp−NtN . Passing to the limit in (3.16), we obtain

d dθ

Z

Aε(|uε|)≤θ

ν(x)|∇Aε(|uε|)|pdx≤ Z µε(θ)

0

fε(s)ds, (3.17) where we have denoted withµε(θ) the distribution functions ofAε(|uε|). Integrating (3.17) between 0 and +∞and using a H¨older inequality, we have

Z

ν(x)|∇Aε(|uε|)|pdx≤ Z +∞

0

dθ Z µε(θ)

0

fε(s)ds

= Z |Ω|

0

Aε(uε(s))fε(s)ds

≤ kfkLr(Ω).kAε(|uε|)kLr0(Ω).

(3.18)

We observe that if r is such that N t(p−1)−NN t +pt ≤r < tp−NtN , by (3.10) the right- hand side of the above inequality is controlled by a constant depending on the norm offε inLr(Ω); so by (3.18) inequality (3.13) follows.

Case 2: max 1,N t(p−1)p+pt−NtN p

< r < N t(p−1)+pt−NtN p . Applying the H¨older inequality in (3.16) and reasoning as before, we obtain

Z

|∇Aε(|uε|)|βνβ/p(x)dx

≤ Z +∞

0

Z µε(θ)

0

fε(s)dsβ/p

(−µ0ε(θ))1−βp

≤Z +∞

0

(1 +θ)q(−µ0ε(θ))dθ1−βp

×Z +∞

0

(1 +θ)q(1−pβ)Z µε(θ) 0

fε(s)ds dθβ/p

.

(3.19)

By the properties of rearrangements, we can write the first integral on the right- hand side of (3.19) as

Z +∞

0

(1 +θ)q(−µ0ε(θ))dθ= Z |Ω|

0

(1 +Aε(uε))qds, (3.20) and by (3.10) this quantity is bounded by a constant depending on the norm of fε in Lr(Ω). On the other hand, integrating by parts the second integral on the right-hand side of (3.19) we have

Z +∞

0

(1 +θ)q(1−βp)Z µε(θ) 0

fε(s)ds dθ

≤c Z |Ω|

0

fε(s)[(1 +Aε(uε))(q(1−βp)+1)]ds

≤ckfεkLr(Ω)

hZ |Ω|

0

[(1 +Aε(uε))q]dsi1−1r

.

(3.21)

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Applying again (3.10), by (3.19) it follows the estimate (3.14).

Case 3: 1≤r≤max 1,N t(p−1)p+pt−NtN p

. Integrating inequality (3.17) between 0 andk, we obtain

Z

Aε(|uε|)≤k

ν(x)|∇Aε(|uε|)|pdx≤ Z k

0

dθ Z µε(θ)

0

fε(s)ds. (3.22) Ifr= 1, from (3.22) we obtain

Z

Aε(|uε|)≤k

ν(x)|∇Aε(|uε|)|pdx≤kkfεkL1(Ω). by (3.11) and (2.3) we obtain the assertion.

If 1 ≤ r ≤ max(1,N t(p−1)p+pt−NtN p ), then by (3.10) it follows that Aε(|uε|) ∈ Mq(Ω), withq=tN+rN−ptrrN t(p−1) ; so we obtain

Z

Aε(|uε|)≤k

ν(x)|∇Aε(|uε|)|pdx≤ck1−rq0

by Proposition 3.2, we conclude the result.

Replacing∇A(|u|) by∇uthe above estimates also hold; furthermore it follows that

Z

ν(x)|∇u|γdx≤c,

withγ < tN+NN t(p−1)−t, wherecis a constant depending on theL1(Ω) norm offε. Using (3.5), theTk(uε) are uniformly bounded inW01,p(Ω, ν) for anyk >0. Hence, there exists a functionu∈W01,γ(Ω, ν) such that

uε→u a.e. in Ω, (3.23)

and, for anyk >0,

Tk(uε)* Tk(u) weakly inW01,p(Ω, ν). (3.24) Remark 3.8. Choosingk > l, we have

uε* u weakly inW01,p(Ω, ν). (3.25) Indeed, let us suppose f ∈ L1(Ω). Using T2l(|uε|)−Tl(|uε|) as test function in (3.3), by (2.3) we obtain

b(l−ε) Z

(T2l(|uε|)−Tl(|uε|))p]dx≤lkfεkL1(Ω).

Lettingε→0, from condition (2.1), we conclude that, for almost allxin Ω,|u| ≤l, which give the result by (3.24).

Next we prove a lemma needed for proving the existence result.

Lemma 3.9. Let uε be a weak solution to problem (3.3). Supposef ∈L1(Ω), and letfε∈L(Ω) be such thatfε→f inL1(Ω). Then

∇uε→ ∇u a.e. in{|u|< l}.

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Proof. We adapt the proof[presented in [11]. By Remark 3.8, we have uε →u in measure. We will prove thatuε→uin measure on{|u|< m}. Letλ >0 andη >0 for 0< k < l, andM >0, we set

E1={|u|< l} ∩({|∇uε|> M} ∪ {|∇u|> M} ∪ {|uε|> k} ∪ {|u|> k}), E2={|u|< l} ∩ {|uε−u|> η},

E3={|uε−u| ≤η,|∇uε| ≤M,|∇u| ≤M,|uε| ≤k,|u| ≤k,|∇(uε−u)| ≥λ}

∩ {|u|< l}.

Observe that{|u|< l} ∩ {|∇uε| ≥λ} ⊂E1∪E2∪E3.

Sinceuεand∇uε are bounded inL1(Ω), for anyσ >0 we can fix M andk < l such that|E1|< σ/3 independently of ε. By the monotonicity Assumption (2.5), there exists a real valued functionγ such that

meas({x∈Ω :γ(x) = 0}) = 0, (a(x, s, ξ)−a(x, s, ξ0))(ξ−ξ0)≥γ(x),

for anys∈(−l, l), ξ, ξ0 ∈RN,|s| ≤k,|ξ|,|ξ0| ≤M, and|ξ−ξ0| ≥λ. Denoting by χη the characteristic function of [0, η], we obtain

Z

E3

γ(x)dx≤ Z

E3

[aε(x, uε,∇uε)−aε(x, uε,∇u)](∇uε−u)dx

≤ Z

{|uε|≤k,|u|≤k}

h

aε(x, uε,∇uε)−aε(x, uε,∇Tk(u))

×

∇uε−Tk(u))χη(|uε−Tk(u)|i dx

≤ Z

h

aε(x, uε,∇uε)−aε(x, uε,∇Tk(u))

×

∇uε−Tk(u))χη(|uε−Tk(u)|i dx

≤ Z

aε(x, uε,∇uε)(∇uε−Tk(u))χη(|uε−Tk(u)|)dx

− Z

aε(x, uε,∇Tk(u))·(∇uε−Tk(u))χη(|uε−Tk(u)|)dx :=J1−J2.

For the termJ1, using Tη(uε−Tk(u)), we have

|J1|= Z

fεTη(|uε−Tk(u)|)dx

≤ηkfkL1(Ω).

Choosingη >0 such thatk+η < l, there existsε0>0 such that for allε < ε0, aε(x, uε,∇Tk(u)) =a(x, uε,∇Tk(u)) in{x∈Ω :|uε−Tk(u)| ≤η};

and since{x∈Ω :|uε−Tk(u)| ≤η} ⊂ {x∈Ω :|uε| ≤k+η} we obtain J2=

Z

a(x, uε,∇Tk(u))· ∇Tη(uε−Tk(u))dx

= Z

a(x, Tk+η(uε),∇Tk(u))·(∇Tk+η(uε−Tk(u)))χη(|uε−Tk(u)|)dx.

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By (3.24), it follows that

Tk+η(uε)* Tk+η(u) weakly inW01,p(Ω, ν), on the other hand

|a(x, Tk+η(uε),∇Tk(u))| ≤b(|Tk+η(uε|))ν(x)|∇Tk+η(u)|p−1 using Vitali’s theorem we have

a(x, Tk+η(uε),∇Tk(u))→a(x, Tk+η(u),∇Tk(u)) strongly inLp0(Ω, ν−1/(p−1)).

Lettingεand ηtend to 0 respectively inJ2, we obtain

ε→0lim Z

a(x, uε,∇Tk(u))· ∇Tη(uε−Tk(u))dx

= Z

a(x, Tk+η(u),∇Tk(u))·(∇Tk+η(u−Tk(u)))χη(|uε−Tk(u)|)dx, and

η→0lim Z

a(x, Tk+η(u),∇Tk(u))·(∇Tk+η(u−Tk(u)))χη(|uε−Tk(u)|)dx= 0.

For η small enough ηkfkL1(Ω) < δ/2, by Kolmogorov theorem, we have |E3| < σ independently ofε. Fix η, by the fact thatuε→uin measure, we chooseε1 such that |E2| < η for ε ≤ε1. This implies that ∇uε → ∇uin measure in {|u| < l}, consequently

∇uε→ ∇u a.e. in{|u|< l}.

We observe that sinceuε→ua.e. in Ω (see (3.23)), we have

{x∈Ω :|u(x)|=l}=n

x∈Ω : lim

ε→0

Z |uε(x)|

0

bε(t)≥ Z l

0

b(t)dto

. (3.26) Theorem 3.10. Let f be a function in Lr(Ω), withr > tN/(tp−N). Assume that (2.1)–(2.5)hold. Then there exists a weak solutionu∈W01,p(Ω, ν)of problem(2.2) such that kukL(Ω)< l.

Proof. For fε = f with ε > 0. By classical results see for example [2, 1]) there exists a solution uε ∈ W01,p(Ω, ν) of the approximated problem (2.2). Estimate (3.4) implies

Aε(kuεkL)≤C(f) =CN

Z |Ω|

0

r−p0/N0[D(r)]p0/pZ r 0

fε(σ)dσp0/p

dr. (3.27) SinceAis bijective in [0, l), we can takeB=A−1(C(f)) and then we chooseε0>0 such thatb(s)≤b(l−ε) for anys∈[0, B]. By definition ofbεandAεwe have, for anyε < ε0,

Aε(s) =A(s), s∈[0, B].

Moreover, beingAε increasing, it follows that, for anyε < ε0, Aε(s)≤C(f)⇔s∈[0, B], so by (3.27) we obtain

kuεkL ≤B < l.

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By (2.3) and Lemma 3.9, we have

aε(x, uε1(x),∇uε1(x))→a(x, u,∇u) strongly inLp0(Ω, ν−1/(p−1)), fε→f strongly inL(Ω).

Passing to the limit in the weak formulation of problem (3.3), we conclude thatu is a weak solution of (2.2), which satisfieskukL(Ω)< l.

Theorem 3.11. Letf ∈Lr(Ω), with N t(p−1)−NN tp +tp< r < tp−NtN . Under hypothesis (2.1)-(2.5), there exists a weak solutionu∈W01,p(Ω, ν)of problem (2.2), such that meas({x∈Ω :|u(x)|=l}) = 0.

Proof. Letuε∈W01,p(Ω, ν) be a weak solution to the approximated problem (3.3).

By Remark (3.8), we haveuε→ua.e. in Ω, sinceA(l) = +∞, (3.26) implies that Aε(|uε|)→A(|u|) a.e. in Ω. (3.28) By (3.13) and (3.28), we obtain

Aε(|uε|)→A(|u|) weakly inW01,p(Ω, ν), (3.29) SinceA(|u|) is bounded inL1(Ω) and meas({x∈Ω : |u(x)|=l}) = 0, by (2.3) we have

aε(x, uε,∇uε)→a(x, u,∇u) a.e. Ω.

On the other hand by (2.3) and (3.13)

|aε(x, uε,∇uε)| is bounded in Lp0(Ω, ν−1/(p−1));

passing to the limit in the weak formulation (3.3), we obtain Z

a(x, u,∇u)· ∇ϕ dx= Z

f ϕ dx, for allϕ∈W01,p(Ω, ν).

Theorem 3.12. Let f ∈ Lr(Ω), with 1 ≤ r < N t(p−1)−N+tpN tp . Under hypothesis (2.1)−(2.5), there exists a solution u∈W01,p(Ω, ν)of problem (2.2), in the sense of Definition (2.2)such that meas({x∈Ω :|u(x)|=l}) = 0.

Proof. Let uε be a weak solution of the approximate problem (3.3), by passing to the limit we can show that |u| < l a.e. in Ω. Take Tk(uε −ϕ), with ϕ ∈ W01,p(Ω, ν)∩L(Ω) as test function in (3.3) we obtain

Z

|uε−ϕ|≤k

a(x, Tl−ε(uε),∇uε)· ∇uεdx

− Z

|uε−ϕ|≤k

a(x, Tl−ε(uε),∇uε)· ∇ϕ dx

= Z

fεTk(uε−ϕ)dx.

(3.30)

Since {|uε−ϕ|} ⊆ {|uε| ≤k+kϕkL(Ω) = M}, for 1 < k < l and kϕkL(Ω) <

l−k, we obtainM < l and consequently|a(x, TM(uε),∇TM(uε))| is bounded in Lp0(Ω, ν−1/(p−1)), and

ε→0lim Z

|uε−ϕ|≤k

a(x, Tl−ε(uε),∇uε)· ∇ϕ dx= Z

|u−ϕ|≤k

a(x, u,∇u)· ∇ϕ dx. (3.31)

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Moreover since fε strongly convergent to f in L1(Ω), and Tk(uε −ϕ) weakly*

convergent toTk(u−ϕ) inL(Ω), we have

ε→0lim Z

fεTk(uε−ϕ)dx= Z

f Tk(u−ϕ)dx. (3.32) On the other handa(x, Tl−ε(uε),∇uε)· ∇uεbeing non-negative, and almost every- where convergent toa(x, u,∇u)· ∇u, by Fatou’s lemma we conclude that

lim inf

ε→0

Z

|uε−ϕ|≤k

a(x, Tl−ε(uε),∇uε)·∇uεdx≤ Z

|u−ϕ|≤k

a(x, u,∇u)·∇u dx. (3.33) Combining (3.31), (3.32) and (3.33) we obtain

Z

a(x, u,∇u)· ∇Tk(u−ϕ)dx≤ Z

f Tk(u−ϕ)dx, for allϕ∈W01,p(Ω, ν).

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Aharrouch Benali

Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar El Mahraz, Labora- tory LAMA, Department of Mathematics, P.O. Box 1796 Atlas Fez, Morocco

Email address:[email protected]

Bennouna Jaouad

Sidi Mohamed Ben Abdellah University, Faculty of Sciences Dhar El Mahraz, Labora- tory LAMA, Department of Mathematics, P.O. Box 1796 Atlas Fez, Morocco

Email address:[email protected]

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