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A. Benkirane, J. Douieb, M. Ould Mohamedhen Val

An approximation theorem in Musielak-Orlicz-Sobolev spaces

Abstract. In this paper we prove the uniform boundedness of the operators of co- nvolution in the Musielak-Orlicz spaces and the density of C

0

(R

n

) in the Musielak- Orlicz-Sobolev spaces by assuming a condition of Log-H¨older type of continuity.

2000 Mathematics Subject Classification: 46E30, 46E35, 46A80.

Key words and phrases: Generalized Orlicz-Sobolev spaces;Modular spaces; Musielak- Orlicz function ; approximation theorem.

1. Introduction. Let Ω be an open set in R n and let ϕ be a real-valued func- tion defined in Ω × R + and satisfying the following conditions :

a) ϕ(x, .) is an N-function [convex, increasing, continuous, ϕ(x, 0) = 0, ϕ(x, t) > 0 for all t > 0, ϕ(x,t) t → 0 as t → 0, ϕ(x,t) t → ∞ as t → ∞ ]

b) ϕ(., t) is a measurable function for any t ∈ R + .

A function ϕ(x, t) which satisfies the conditions a) and b) is called a Musielak-Orlicz function.

We define the functional

% ϕ,Ω (u) = Z

ϕ(x, |u(x)|)dx,

where u : Ω 7→ R is a Lebesgue measurable function. In the following the measura- bility of a function u : Ω 7→ R means the Lebesgue measurability.

The set

K ϕ (Ω) = {u : Ω → R mesurable /% ϕ,Ω (u) < +∞}

is called the generalized Orlicz class.

The Musielak-Orlicz space (the generalized Orlicz spaces) L ϕ (Ω) is the vector

space generated by K ϕ (Ω), that is, L ϕ (Ω) is the smallest linear space containing

(2)

the set K ϕ (Ω).

Equivelently:

L ϕ (Ω) =



u : Ω → R mesurable /% ϕ,Ω ( | u(x) |

λ ) < +∞, for some λ > 0



Let

ψ(x, s) = sup

t ­0 {st − ϕ(x, t)},

that is, ψ is the Musielak-Orlicz function complementary to ϕ(x, t) in the sense of Young with respect to the variable s.

In the space L ϕ (Ω) we define the following two norms:

||u|| ϕ,Ω = inf{λ > 0/

Z

ϕ(x, |u(x)|

λ )dx, ¬ 1}.

which is called the Luxemburg norm and the so-called Orlicz norm by :

|||u||| ϕ,Ω = sup

||v||

ψ

¬1

Z

|u(x)v(x)|dx.

where ψ is the Musielak-Orlicz function complementary to ϕ. These two norms are equivalent [19].

We say that a sequence of functions u n ∈ L ϕ (Ω) is modular convergent to u ∈ L ϕ (Ω) if there exists a constant k > 0 such that

n lim →∞ % ϕ,Ω ( u n − u k ) = 0.

For any fixed nonnegative integer m we define

W m L ϕ (Ω) = {u ∈ L ϕ (Ω) : ∀|α| ¬ m D α u ∈ L ϕ (Ω)}

where α = (α 1 , α 2 , ..., α n ) with nonnegative integers α i |α| = |α 1 | + |α 2 | + ... + |α n | and D α u denote the distributional derivatives. The space W m L ϕ (Ω) is called the Musielak-Orlicz-Sobolev space.

Let

% ϕ,Ω (u) = X

|α|¬m

% ϕ,Ω (D α u) and ||u|| m ϕ,Ω = inf{λ > 0 : % ϕ,Ω ( u λ ) ¬ 1}

for u ∈ W m L ϕ (Ω). These functionals are a convex modular and a norm on W m L ϕ (Ω), respectively, and the pair < W m L ϕ (Ω), ||u|| m ϕ,Ω > is a Banach space if ϕ satisfies the following condition [19]:

there exist a constant c > 0 such that inf

x ∈Ω ϕ(x, 1) ­ c.

(1)

(3)

We say that a sequence of functions u n ∈ W m L ϕ (Ω) is modular convergent to u ∈ W m L ϕ (Ω) if there exists a constant k > 0 such that

n lim →∞ % ϕ,Ω ( u n − u k ) = 0.

For two Musielak-Orlicz functions ϕ and ψ the following inequality is called the young inequality [19]:

t.s ¬ ϕ(x, t) + ψ(x, s) for t, s ­ 0, x ∈ Ω (2)

This inequality implies the inequality

|||u||| ϕ,Ω ¬ % ϕ,Ω (u) + 1.

(3)

In L ϕ (Ω) we have the relation between the norm and the modular :

||u|| ϕ,Ω ¬ % ϕ,Ω (u) if ||u|| ϕ,Ω > 1 (4)

||u|| ϕ,Ω ­ % ϕ,Ω (u) if ||u|| ϕ,Ω ¬ 1 (5)

For two complementary Musielak-Orlicz functions ϕ and ψ let u ∈ L ϕ (Ω) and v ∈ L ψ (Ω) we have the H¨older inequality [19]:

| Z

u(x)v(x) dx | ¬ ||u|| ϕ,Ω |||v||| ψ,Ω . (6)

In this paper we assume that there exists a constant A > 0 such that for all x, y ∈ Ω : |x − y| ¬ 1 2 we have :

ϕ(x, t) ϕ(y, t) ¬ t

A log( 1

|x−y|)

(7)

for all t ­ 1.

For examples of Musielak-Orlicz functions which verify (7 ) see §Examples.

The aim of this paper is to prove the density of space of class C functions with compact supports in R n C 0 (R n ) in the space W m L ϕ (R n ) for the modular convergence, under the assumption (7).

Our result generalizes that of Gossez in [14] in the case of classical Orlicz spaces and that of Samko [21] in the case of variable exponent Sobolev spaces W m,p(x) (R n ).

A similar result has been proved by Hudzik in [16] and [17] by assuming the following condition:

Z

M (x, |f ε (x)|)dx ¬ K Z

M (x, |f(x)|)dx

(8)

(4)

for all function f ∈ L M (R n ),where f ε is a regularized function of f. In our paper we don’t assume any condition of type(8).

For others approximations results in Musielak-Orlicz-Sobolev spaces and some applications to nonlinear partial differential equations see [9].

And for nonlinear equations in classical Orlicz spaces see [1], [2], [3], [5], [6], [8], [10], [13], [11], [15], [12] and references within.

2. Main results. Let K(x) be a measurable function with support in the ball B R = B(0, R) and let

K ε (x) = 1 ε n K( x

ε ).

We consider the family of operators

K ε f (x) = Z

K ε (x − y)f(y) dy.

(9)

We define

R = {x ∈ R n : dist(x, Ω) ¬ R} ⊇ Ω, 0 < R < ∞.

Theorem 2.1 Let K(x) ∈ L (B R ) and let ϕ and ψ be two complementary Musielak- Orlicz functions such that ϕ satisfies the conditions (1), (7) and

if D ⊂ Ω is a bounded measurable set, then Z

D

ϕ(x, 1)dx < ∞.

(10)

And ψ satisfies the following condition:

ψ(x, 1) ¬ C a.e in Ω.

(11)

Then the operators K ε are uniformly bounded from L ϕ (Ω) into L ϕ (Ω R ), namely

||K ε f || ϕ,Ω

R

¬ C||f|| ϕ,Ω ∀f ∈ L ϕ (Ω), (12)

where C > 0 does not depend on ε.

Remark 2.2 For any Musielak-Orlicz function ϕ we can replace it by a Musielak-

Orlicz function ϕ which is globally equivalent to ϕ such that ϕ(x, 1) + ψ(x, 1) = 1,

where ψ is the Musielak-Orlicz function complementary to ϕ (see [20], §2.4). Hence

by (1) we may assume without loss of generality that the condition (11) is always

satisfied.

(5)

Theorem 2.3 Let ϕ and K(x) satisfy the assumptions of theorem 1 and Z

B

R

K(y) dy = 1.

(13)

Then (9) is an identity approximation in L ϕ (Ω), that is,

∃λ > 0 : lim ε

→0 % ϕ,Ω

R

( K ε f − f

λ ) = 0, f ∈ L ϕ (Ω).

(14) Let

f ε (x) = 1 ε n |B(0, 1)|

Z

y ∈Ω,|y−x|<ε

f (y) dy (15)

Corollary 2.4 Under the assumptions of Theorem 2.1 ,

ε lim →0 % ϕ,Ω ( f ε − f

λ ) = 0 for some λ > 0.

(16)

Remark 2.5 . The statement (16) is an analogue of mean continuity property for Musielak-Orlicz spaces, but with respect to the averaged śhiftóperator (15).

Corollary 2.6 Under the assumptions of Theorem 2.1 with Ω = R n , C 0 (R n ) is dense in L ϕ (R n ) with respect to the modular topology.

Theorem 2.7 Let ϕ be a Musielak-Orlicz function which satisfies the assumptions of Theorem 2.1 with Ω = R n . Then C 0 (R n ) is dense in W m L ϕ (R n ) with respect to the modular topology.

Examples. Let p : Ω 7→ [1, ∞) be a measurable function such that there exist a constant c > 0 such that for all points x, y ∈ Ω with |x − y| < 1 2 , we have the inequality

|p(x) − p(y)| ¬ c log( |x−y| 1 ) .

Then the following Musielak-Orlicz functions satisfy the conditions of Theorem 2.1 :

1. ϕ(x, t) = t p(x) such that sup x∈Ω p(x) < ∞, 2. ϕ(x, t) = t p(x) log(1 + t),

3. ϕ(x, t) = t(log(t + 1)) p(x) ,

(6)

4. ϕ(x, t) = (e t ) p(x) − 1.

3. Proofs.

Proof (of Theorem 2.1) . We assume that

||f|| ϕ,Ω ¬ 1.

(17)

It suffices to show that

% ϕ,Ω

R

(K ε f ) = Z

R

ϕ(x, |K ε f (x) |)dx ¬ c (18)

for some ε such that 0 < ε ¬ ε 0 ¬ 1, and c > 0 independent of f.

Let

R = ∪ N k=1 ω k R

be any partition of Ω R into small parts ω k R comparable with the given ε:

diam ω k R ¬ ε, k = 1, 2, 3..., N = N(ε).

We represent the integral in (18) as

% ϕ,Ω

R

(K ε f ) = X N k=1

Z

ω

kR

ϕ(x, | Z

K ε (x − y)f(y) dy|)dx.

(19)

We put

ϕ k (t) = inf{ϕ(x, t), x ∈ Ω k R } ¬ inf{ϕ(x, t), x ∈ ω k R } (20)

where some larger partition Ω k R ⊃ ω k R will be chosen later comparable with ε : diam Ω k R ¬ mε , m > 1.

(21) Hence :

% ϕ,Ω

R

(K ε f ) = X N k=1

Z

ω

kR

A k (x, ε) ϕ k (|

Z

K ε (x − y)f(y) dy|) dx . (22)

where

A k (x, ε) := ϕ(x, | R

K ε (x − y)f(y) dy|) ϕ k (| R

K ε (x − y)f(y) dy|) We shall prove the uniform estimate

A k (x, ε) ¬ c, x ∈ ω k R

(23)

where c > 0 does not depend on x ∈ ω k R , k and ε ∈ (0, ε 0 ) with some ε 0 > 0.

(7)

By (6) we have α(x, ε) := |

Z

K ε (x − y)f(y) dy| ¬ M ε n

Z

B

εR

(y)f(y)|dy

¬ M

ε n ||f|| ϕ |||χ B

εR

||| ψ where M = sup B

R

|K(y)|.

By (3) and the condition (11) we obtain

|||χ B

εR

||| ψ ¬ c 2 |B εR | + 1 ¬ c 2 + 1 (24)

for 0 < ε ¬ |B(0, 1)|

n1

:= ε 0 1 . Hence

α(x, ε) ¬ c 1

ε n . (25)

We observe now that by (7) and (20) we have ϕ(x, t)

ϕ k (t) = ϕ(x, t) ϕ(ξ k , t) ¬ t

A log( 1

|x−ξk|)

(26)

where x ∈ ω k R , ξ k ∈ Ω k R . Evidently |x − ξ k | ¬ diam Ω k R ¬ mε . Therefore,

A k (x, ε) = ϕ(x, α(x, ε))

ϕ(ξ k , α(x, ε)) ¬ (α(x, ε))

A log( 1)

¬ (c 1 ε −n )

A log( 1)

¬ (c 1 )

A

log( 1m)

−n )

A log( 1)

(27)

under the assumption that 0 < ε ¬ 2m 1 := ε 0 2 . Then from (27)

A k (x, ε) ¬ c 4 := c 3 e 2nA , c 3 = (c 1 )

A log( 1m)

(28)

for x ∈ ω R k and

0 < ε ¬ 1 m 2 := ε 0 3 . (29)

Therefore, we have the uniform estimate (23) with c = c 3 e 2nA and 0 < ε ¬

ε 0 , ε 0 = min 1¬k¬3 ε 0 k , ε 0 k being given above.

(8)

Using the estimate (23) we obtain from (22)

% ϕ,Ω

R

(K ε f ) = c X N k=1

Z

ω

Rk

ϕ k (| Z

K ε (x − y)f(y) dy|)dx . (30)

So by the Jensen integral inequality we obtain

% ϕ,Ω

R

(K ε f ) ¬ c P N k=1 R

|y|<εR |K ε (y)|dy R

ω

kR

ϕ k (f(x − y))dx

= c P N k=1 R

|y|<R |K(y)|dy R

x +εy∈ω

kR

ϕ k (f(x))dx (31)

Obviously, the domain of integration in x in the last integral is embedded into the domain

[

y ∈B

εR

{x : x + y ∈ ω R k } (32)

which does not depend on y. Now, we choose the sets Ω k R in (20), which were not determined until now, as the sets (32). Then, evidently, Ω k R ⊃ ω R k , and it is easily seen that

diam Ω k R ¬ (1 + 2R)ε (33)

so the requirement (21) is satisfied with m = 1 + 2R . From (32) we have

% ϕ,Ω

R

(K ε f ) ¬ c P N k=1

R

|y|<R |K(y)|dy R

kR

ϕ k (f(x))dx

¬ c R

|y|<R |K(y)|dy P N k=1 R

kR

∩Ω ϕ k (f(x))dx (34)

In view of (33), the covering {ω k = Ω k R ∩ Ω} N k=1 has a finite multiplicity (that is, each point x ∈ Ω belongs simultaneously to not more than a finite number n 0 of the sets w k , n 0 ¬ 1 + (1 + 2R) n in this case ) .

Therefore,

% ϕ,Ω

R

(K ε f ) ¬ c 5 Z

˜

ϕ(x, f (x)) dx, (35)

where

ϕ(x, t) = max ˜

i ϕ i (t),

the maximum being taken with respect to all the sets ω k containing x. Evidently,

˜

ϕ(x, t) ¬ ϕ(x, t) ∀x ∈ Ω.

Then from (35) and (17) we arrive at the final estimate

% ϕ,Ω

R

(K ε f ) ¬ c 5

Z

ϕ(x, f (x)) dx ¬ c 5 .

(36)

(9)

Proof (of Theorem 2.3) .

To prove (14), we use the Theorem 2.1, which provides the uniform boundedness of the operators K ε from L ϕ (Ω) into L ϕ (Ω R ). Then by the Banach-Steinhaus theorem it suffices to verify that (14) holds for some dense set in L ϕ (Ω). So, it is sufficient to prove (14) for the characteristic function χ E (x) of any bounded measurable set E ⊂ Ω [19]. We have

K ε E )(x) − χ E (x) = Z

B

R

k(y)[χ E (x − εy) − χ E (x)]dy, Hence for λ > 0

% ϕ,Ω

R

( K ε E ) − χ E

λ ) = Z

R

ϕ(x, 1 λ

Z

B

R

k(y)[χ E (x − εy) − χ E (x)]dy)dx

¬ Z

B

R

k(y)(

Z

R

ϕ(x, 1

λ E (x − εy) − χ E (x)])dx)dy by the Fubini theorem and the Jensen inequality. Hence by the condition (10) and the Lebesgue dominated convergence theorem we obtain (14) for some λ > 0.

Proof (of Corollary 2.4) .

To obtain Corollary 2.4 from Theorem 2.1, it suffices to choose K(y) = |B(0,1)| 1 χ B(0,1) (y) .

Proof (of Corollary 2.6) .

Let χ N (x) = χ B(0,N) (x). Then the functions f N (x) = χ N (x)f(x) have compact supports and for the approximate of f(x) ∈ L ϕ (R n ) by f N , we have :

% ϕ,R

n

( f − f N λ ) = Z

R

n

ϕ(x, ( f − f N

λ )(x))dx = Z

|x|>N

ϕ(x, f (x)

λ )dx → 0 as N → ∞.

Therefore, we may consider f(x) with a compact support in the ball B N from the very beginning. To approximate the f(x) by C 0 , we use the identity approximation

f ε (x) = Z

R

n

K ε (x − t)f(t)dt = Z

|y|<1

K(y)f (x − εy)dy (37)

where k(y) ∈ C 0 (R n ) has its support in the ball B 1 and satisfies Z

|y|<1

K(y)dy = 1.

(10)

Then, evidently, f ε (x) ∈ C (R n ) and has a compact support because f ε ≡ 0 if

|x| > N + ε.

Therefore, for ε < 1, there exist some λ > 0 such that

% ϕ,R

n

( f ε − f

λ ) = % ϕ,B

N+1

( K ε f − f λ ) → 0

(38)

as ε → 0, by Theorem 2.3.

Proof (of Theorem 2.7) .

The proof follows from Theorem 2.3 and Corollary 2.6 in two steps.

1. Let f(x) ∈ W m L ϕ (R n ) and let µ(r), 0 ¬ r ¬ ∞, be a smooth step-function : µ(x) ≡ 1 for 0 ¬ |x| ¬ 1, µ(x) ≡ 0 for |x| ­ 2, µ(x) ∈ C 0 (R n ) and 0 ¬ µ(x) ¬ 1. Then

f N (x) := µ( x

N )f(x) ∈ W m L ϕ (R n ) (39)

for every N ∈ R + and f N has compact support in B 2N .

The function (39) approximate f(x) in W m L ϕ (R n ). Indeed, denoting ν N (x) = 1 − µ( N x ), we know that ν N (x) ≡ 0 for |x| < N, so using the Leibnitz formula for differentiation, we have for λ > 0

% ϕ,R

n

( f − f N

λ ) = X

|j|¬m

% ϕ,R

n

( D j N f )

λ )

= X

|j|¬m

% ϕ,R

n

( X

0¬k¬j

c k j D k N )D j−k f

λ )

¬ X

|j|¬m

X

0¬k¬j

c k j % ϕ,R

n

( D k N )D j −k f

λ )

¬ X

|j|¬m

% ϕ,R

n

( ν N D j (f)

λ )

+ c X

|j|¬m

X

1¬k¬j

% ϕ,R

n

( D k N )D j−k f

λ )

¬ X

|j|¬m

% ϕ,R

n

( ν N D j (f)

λ )

+ c X

|j|¬m

X

1¬k¬j

1

N |k| % ϕ,R

n

( D j −k f

λ ).

(11)

Hence there exist a λ > 0 which depend to m, n such that each term on the last hand side goes to Zero as N → ∞, the first one by the Lebesgue dominated convergence theorem and the second one by direct examination.

2. By step 1 we may consider f(x) ∈ W m L ϕ (R n ) with compact support. Then we arrange the approximation (37), evidently, f ε ∈ C 0 (R n ). Indeed, for any j we have

D j f ε (x) = 1 ε n +|j|

Z

|y|<1

(D j K)( x − t

ε )f(t)dt ∈ C (R n ) (40)

and f ε (x) has compact support because f ε (x) ≡ 0 if |x| > 1 + β, where β = sup x∈suppf |x|.

We have

% ϕ,R

n

( f − f ε

λ ) ¬ X

|j|¬m

% ϕ,R

n

( D j f − K ε (D j f )

λ )

= X

|j|¬m

% ϕ,Ω

1

( D j f − K ε (D j f )

λ )

where Ω 1 = {x : dist(x, Ω) ¬ 1}, Ω = suppf(x). It suffices to apply Theorem

2.3.

References

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m

L log L(Ω) et applica- tions. (French) [Hedberg-type approximations in the spaces W

m

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1

data, Nonlinear Anal. 39 (2000), no. 4, Ser. A: Theory Methods, 403-411.

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and applications.Studia Math. 92 (1989), no. 3, 231-255.

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[8] A. Benkirane, M. Kbiri Alaoui, Sur certaines quations elliptiques non linarires a’ second membre mesure. (French) [Certain nonlinear elliptic equations with right-hand-side measu- res], Forum Math. 12 (2000), no. 4, 385-395.

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[10] A. Elmahi, D. Meskine, Existence of solutions for elliptic equations having natural growth terms in orlicz spaces, Abstr. Appl. Anal. 12 (2004) 1031-1045.

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[13] J.P. Gossez, Nonlinear elliptic boundary value prolems for equations with rapidly (or slowly) increasing coefficients, Trans. Am. Malh. Soc. 190 (1974), 163-205.

[14] J.P. Gossez, Some approximation properties in Orlicz-Sobolev spaces, Studia Math. 74 (1982), 17-24.

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11 (1987), 379-392.

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0

(R

n

) in generalized Orlicz-Sobolev space W

Mk

(R

n

), Funct. Appro- ximatio Comment. Math. 7 (1979), 15-21.

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0

(Ω) in generalized Orlicz-Sobolev space W

Mk

(Ω) for every open set Ω ⊂ R

n

, Comment. Math. Parce Mat. 20 (1977), 65-78.

[19] J. Musielak, Modular spaces and Orlicz spaces, Lecture Notes in Math. 1034 (1983).

[20] M.M. Rao and Z.D. Ren, Theory of Orlicz spaces, Marcel Deker, New york, 1991.

[21] S. G. SAMKO, Denseness of C

0

(R

n

) in the generalized Sobolev spaces W

1,p(x)

(R

n

), Intern.

Soc. for Analysis, Applic. and Comput. 5 (2000), 333-342.

A. Benkirane

Facult´e des Sciences Dhar-Mahraz, D´epartement de Math´ematiques B. P. 1796 Atlas F`es, Maroc

E-mail: abd.benkirane@gmail.com J. Douieb

Facult´e des Sciences Dhar-Mahraz, D´epartement de Math´ematiques B. P. 1796 Atlas F`es, Maroc

E-mail: jaddouieb@yahoo.fr M. Ould Mohamedhen Val

Facult´e des Sciences Dhar-Mahraz, D´epartement de Math´ematiques B. P. 1796 Atlas F`es, Maroc

E-mail: med.medvall@gmail.com

(Received: 23.02.2011)

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Let ME denote the family of all nonempty and bounded subsets of E and NE the family of all nonempty and relatively compact sets in E.. D e f in it io

A strongly exposing property (SE) is introduced as an appropriate assumption on the space R). An appropriate assumption on this space appears to be a strongly

We shall introduce convenient notations and give some general remarks.. Let denote an arbitrary

In Section 4, we develop a capacity theory based on this space; we study basic properties of capacity, including monotonicity and countable subadditivity, as well as several