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Vol. LXXXI, 2 (2012), pp. 171–183

COMPOSITION OPERATOR ON THE SPACE OF FUNCTIONS TRIEBEL-LIZORKIN AND BOUNDED VARIATION TYPE

M. MOUSSAI

Abstract. For a Borel-measurable functionf:RRsatisfyingf(0) = 0 and sup

t>0

t−1 Z

R

sup

|h|≤t

|f0(x+h)f0(x)|pdx <+∞, (0< p <+∞), we study the composition operatorTf(g) :=f◦gon Triebel-Lizorkin spacesFp,qs (Rn) in the case 0< s <1 + (1/p).

1. Introduction and the main result

The study of the composition operator Tf: g → f ◦g associated to a Borel- measurable function f:R → R on Triebel-Lizorkin spaces Fp,qs (Rn), consists in finding a characterization of the functionsf such that

Tf(Fp,qs (Rn))⊆Fp,qs (Rn).

(1.1)

The investigation to establish (1.1) was improved by several works, for example the papers of Adams and Frazier [1, 2], Brezis and Mironescu [6], Maz’ya and Shaposnikova [9], Runst and Sickel [12] and [10]. There were obtained some necessary conditions onf; from which we recall the following results. Fors >0, 1< p <+∞and1≤q≤+∞

• if Tf takes L(Rn)∩Fp,qs (Rn)toFp,qs (Rn), thenf is locally Lipschitz con- tinuous.

• if Tf takes the Schwartz space S(Rn)toFp,qs (Rn), thenf belongs locally to Fp,qs (R).

The first assertion is proved in [3, Theorem 3.1]. The proof of the second assertion can be found in [12, Theorem 2, 5.3.1].

Bourdaud and Kateb [4] introduced the functions class Up1(R), the set of Lipschitz continuous functionsf such that their derivatives, in the sense of distri- butions, satisfy

Ap(f0) :=

sup

t>0

t−1 Z

R

sup

|h|≤t

|f0(x+h)−f0(x)|pdx1/p

<+∞, (1.2)

Received August 8, 2011; revised February 17, 2012.

2010Mathematics Subject Classification. Primary 46E35, 47H30.

Key words and phrases. Triebel-Lizorkin spaces; Besov spaces; functions of bounded variation;

composition operators.

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and are endowed with the seminorm kfkU1

p(R):= inf(kgk+Ap(g)),

where the infimum is taken over all functionsg such thatf is a primitive ofg. In [4] the authors, proved the acting of the operatorTf on Besov spaceBsp,q(Rn) for 1≤p < +∞, 1 < s <1 + (1/p) andf ∈Up1(R) with f(0) = 0. In [5] the same result holds for 0< s <1 + (1/p).

In this work we will study the composition operatorTf onFp,qs (Rn) for a func- tionf which belongs to Up1(R), then we will obtain a result of type (1.1). To do this, we introduce the setVp(Rn) of the functionsg:Rn→Rsuch that

kgkVp(Rn):=

n

X

j=1

Z

Rn−1

kgx0jkpBV1

p(R)dx0j1/p

<+∞

where BVp1(R) is the Wiener space of the primitives of functions of bounded p-variation (see Subsection 2.2 below for the definition) and

gx0

j(y) :=g(x1, . . . , xj−1, y, xj+1, . . . , xn), y∈R, x∈Rn. (1.3)

We will prove the following statement.

Theorem 1.1. Let 0< p, q <+∞and 0< s <1 + (1/p). Then there exists a constantc >0such that the inequality

kf◦gkFs

p,q(Rn)≤ckfkU1 p(R)

kgkp+kgkVp(Rn)

(1.4)

holds for all functionsg∈Lp(Rn)∩ Vp(Rn)and allf ∈Up1(R)satisfyingf(0) = 0.

Moreover, for all suchf, the operator Tf takesLp(Rn)∩ Vp(Rn) toFp,qs (Rn).

Remark. (i) SinceFp,qs (Rn),→Lp(Rn), thenTf maps fromFp,qs (Rn)∩ Vp(Rn) toFp,qs (Rn) under the assumptions of Theorem 1.1.

(ii) Since the Bessel potential spacesHps(Rn) =Fp,2s (Rn), 1< p <∞, Theorem 1.1 covers the results of composition operators in caseHps(Rn) instead ofFp,qs (Rn).

The paper is organized as follows. In Section 2 we collect some properties of the needed function spacesFp,qs (Rn) andBVp1(R). Section 3 is devoted to the proof of the main result where in a first step we study the case of 1-dimensional which is the main tool when we prove Theorem 1.1. Also, our proof uses various Sobolev and Peetre embeddings, Fubini and Fatou properties, etc. In Section 4 we give some corollaries and prove the sharp estimate of (1.4).

Notation. We work with functions defined on the Euclidean space Rn. All spaces and functions are assumed to be real-valued. We denote by Cb(Rn) the Banach space of bounded continuous functions onRnendowed with the supremum.

Let D(Rn) (resp. S(Rn) and S0(Rn)) denotes the C-functions with compact support (resp. the Schwartz space of allC rapidly decreasing functions and its topological dual). Withk · kp we denote theLp-norm. We define the differences by ∆hf := f(·+h)−f for all h ∈ Rn. If E is a Banach function space on Rn, we denote byE`oc the collection of all functionsf such thatϕf ∈E for all

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ϕ∈ D(Rn). As usual, constantsc, c1, . . .are strictly positive and depend only on the fixed parametersn, s, p, q; their values may vary from line to line.

2. Function spaces 2.1. Triebel-Lizorkin spaces

Let 0< a≤ ∞. For all measurable functionsf onRn, we set Mp,qs,u,a(f) :=Z

Rn

Z a

0

t−sq1 tn

Z

|h|≤t

|∆hf(x)|udhq/udt t

p/q

dx1/p

.

Definition 2.1. Let 0< p <+∞and 0< q≤+∞. Letsbe a real satisfying 1< s <2 and s > nmax1

p−1,1 q−1

.

Then, a functionf ∈Lp(Rn) belongs toFp,qs (Rn) if kfkFs

p,q(Rn):=kfkp+

n

X

j=1

Mp,qs−1,1,∞(∂jf)<+∞.

The set Fp,qs (Rn) is a quasi Banach space for the quasi-norm defined above.

For the equivalence of the above definition with other characterizations we refer to [15, Theorem 3.5.3] from which we recall the following statement.

Proposition 2.2. Let 0 < p < +∞ and 0 < q, u ≤ +∞. Let s be a real satisfying

1< s <2 and s > nmax1 p−1

u,1 q− 1

u

. Then, a functionf ∈Lp(Rn)belongs toFp,qs (Rn)if and only if

kfkp+Mp,qs,u,∞(f)<+∞

(2.1)

and the expression (2.1) is an equivalent quasi-norm in Fp,qs (Rn). Moreover, this assertion remains true if one replacesMp,qs,u,∞ byMp,qs,u,a for any fixeda >0.

The argument of the equivalence of above quasi-norms that we can replace the integration fort∈]0,+∞[ byt≤afor a fixed positive numberais the part of the integral for whicht > acan be easily estimated by theLp-norm.

Embeddings. Triebel-Lizorkin spaces are spaces of equivalence classes w.r.t. al- most everywhere equality. However, if such an equivalence class contains a contin- uous representative, then usually we work with this representative and call also the equivalence class a continuous function. Later on we need the following continuous embeddings:

(i) The spacesFp,qs (Rn) are monotone with respect to s and q, more exactly Fp,∞s (Rn),→Fp,qt (Rn),→Fp,∞t (Rn) ift < s and 0< q≤ ∞.

(ii) With Besov spaces, we haveBsp,1(Rn),→Fp,qs (Rn),→Bp,∞s (Rn).

(iii) If eithers > n/por s=n/pand 0< p≤1, thenFp,qs (Rn),→Cb(Rn).

For various further embeddings we refer to [14, 2.3.2, 2.7.1] or [12, 2.2.2, 2.2.3].

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The Fatou property. Well-known the Triebel-Lizorkin space has the Fatou prop- erty, cf. [8]. We will briefly recall it. Any f ∈Fp,qs (Rn) can be approximated (in the weak sense in S0(Rn)) by a sequence (fj)j≥0 such that any fj is an entire function of exponential type

fj ∈Fp,qs (Rn) and lim sup

j→+∞

kfjkFp,qs (Rn)≤ckfkFp,qs (Rn)

with a positive constantc independent of f. Vice versa, if for a tempered distri- butionf ∈ S0(Rn), there exists a sequence (fj)j≥0 such that

fj∈Fp,qs (Rn) and A:= lim sup

j→+∞

kfjkFp,qs (Rn)<+∞,

and limj→+∞fj=f in the sense of distributions, thenf belongs toFp,qs (Rn) and there exists a constantc >0 independent off such thatkfkFs

p,q(Rn)≤cA.

2.2. Functions of bounded variation

For a functiong:R→R, we set νp(g) := supXN

k=1

|g(bk)−g(ak)|p1/p , (2.2)

taken over all finite sets{]ak, bk[ ;k= 1, . . . , N}of pairwise disjoint open intervals.

A function g is said to be of bounded p-variation if νp(g) < +∞. Clearly, by considering a finite sequence with only two terms, we obtain|g(x)−g(y)| ≤νp(g), for allx, y∈R, henceg is a bounded function. The set of (generalized) primitives of functions of boundedp-variation is denoted by BVp1(R) and endowed with the seminorm

kfkBVp1(R):= inf νp(g),

where the infimum is taken over all functionsgwhosef is the primitive. For more details about this space we refer to [11] or [5]. However, we need to recall some embeddings

BVp1(R),→Up1(R) (2.3)

(equality in case p = 1), see [5, Theorem 5] for the proof which is given for 1< p <+∞and can be easily extended to 0< p≤1, see also [7, Theorem 9.3].

The Peetre embedding theorem

1+(1/p)p,1 (R),→BVp1(R),→B˙1+(1/p)p,∞ (R), (1≤p <+∞), (2.4)

where the dotted space is thehomogeneousBesov space.

Example. Letα∈R. We putuα(x) :=|x+α| − |α|for allx∈R, and fα(x, y) :=uα(x)χ[0,1](y) +uα(y)χ[0,1](x), ∀x, y∈R,

whereχ[0,1] denotes the indicatrix function of [0,1]. Clearly thatνp(u0α) = 2 and kχ[0,1]kBV1

p(R)= 0. Then it holdsfα∈ Vp(R2) with kfαkVp(R2) = 4. TheVp(Rn) space is defined in Section 1.

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3. Proof of the result Theorem 1.1 can be obtained from the following statement.

Proposition 3.1. Let 0 < p, q < +∞, 0 < u < min(p, q) and 0 < s < 1/p.

Then there exists a constantc >0 such that the inequality Mp,qs,u,∞((f◦g)0)≤ckfkU1

p(R)kgkBV1 p(R)

(3.1)

holds for allf ∈Up1(R)∩C1(R)and all real analytic functionsg in BVp1(R).

Proof. For a better readability we split our proof in two steps.

Step 1. Let us prove

Mp,qs,u,a((f◦g)0)≤c a(1/p)−skfkUp1(R)kgkBVp1(R)

(3.2)

for alla >0 and allf ∈Up1(R)∩C1(R) and all real analytic functionsginBVp1(R).

Assume firsta= 1. By the assumptions onf andgit holds (f◦g)0= (f0◦g)g0. We havek(f◦g)0k ≤ kf0kkg0k and

|∆h((f0◦g)g0)(x)| ≤ kf0k|∆hg0(x)| + |g0(x)| |∆h(f0◦g)(x)|.

Hence

Mp,qs,u,1((f◦g)0)≤ kf0kMp,qs,u,1(g0) +V(f;g), where

V(f;g) :=Z

R

Z 1

0

t−sq1 t

Z t

−t

|∆h(f0◦g)(x)|u|g0(x)|udhq/udt t

p/q dx1/p (3.3) .

Estimate ofMp,qs,u,1(g0).By writingR1

0 · · ·=P j=0

R2−j

2−j−1· · · and by an elementary computation, we have

Z 1

0

t−sq1 t

Z t

−t

|∆hg0(x)|udhq/udt t ≤c1

X

j=0

Z 2−j

2−j−1

t−sq sup

|h|≤t

|∆hg0(x)|q dt t

≤c2

X

j=0

2jsq sup

|h|≤2−j

|∆hg0(x)|q.

Letα:= min(1, p/q). By using the monotonicity of the`r-norms (i.e. `1,→`1/α) and by the Minkowski inequality w.r.tLp/(αq), sinceq <+∞, we obtain

Mp,qs,u,1(g0)≤c1

Z

R

X

j=0

2jsαq sup

|h|≤2−j

|∆hg0(x)|αqp/(αq)

dx1/p

≤c2

X

j=0

2jsαqZ

R

sup

|h|≤2−j

|∆hg0(x)|pdx(αq)/p1/(αq)

≤c3

X

j=0

2j(s−(1/p))αq1/(αq) kgkU1

p(R).

From the embedding (2.3) and the assumption ons, the desired estimate holds.

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Estimate of V(f;g). In (3.3) the integral with respect to hcan be limited to the interval [0, t] denoting the corresponding expression by V+(f;g). Let us notice that the estimate with respect to [−t,0] will be completely similar.

Again, by applying the Minkowski inequality twice, it holds V+(f;g)

≤ Z

R

Z 1

0

Z 1

h

t−(s+(1/u))q|∆h(f0◦g)(x)|q|g0(x)|q dt t

u/q dh

p/u dx

1/p

≤ Z 1

0

Z

R

|∆h(f0◦g)(x)|p|g0(x)|pdx

u/p Z

h

t−(s+(1/u))q dt t

u/q dh

1/u

≤c Z 1

0

h−(su+1) Z

R

|∆h(f0◦g)(x)|p|g0(x)|pdx u/p

dh 1/u

.

Case 1: Assume thatg0 does not vanish on R. By the Mean Value Theorem and by the change of variabley=g(x), we find

V+(f;g)

≤c1kg0k1−(1/p) Z 1 0

h−(su+1)Z

R

sup

|v|hkg0k

|f0(v+y)−f0(y)|pdyu/p

dh1/u

≤c2kfkU1

p(R)kg0kZ 1 0

hu((1/p)−s)−1dh1/u

≤c3kfkU1

p(R)kgkBV1 p(R).

Case 2: Assume that the set of zeros of g0 is nonempty. Then it is a discrete set whose complement in R is the union of a family (Il)l of open disjoint intervals.

For anyh >0, we denote byIl,h0 the set ofx∈Il whose distance to the boundary ofIl is greater thanh. We set

Il,h00 :=Il\Il,h0 and gl:=g|Il.

Clearly the functionglis a diffeomorphism ofIl ontog(Il). Let us notice thatIl,h0 is an open interval, possibly empty. In case it is not empty, we have

|g(gl−1(y) +h)−y| ≤hsup

Il

|g0|, ∀y∈gl(Il,h0 ).

(3.4)

The setIl,h00 is an interval of length at most 2hor the union of two such intervals, andg0 vanishes at one of the endpoints of these or those intervals.

We writeV+(f;g)≤V1(f;g) +V2(f;g), where V1(f;g) :=

Z 1

0

h−(su+1)

X

l

Z

Il,h0

|∆h(f0◦g)(x)|p|g0(x)|pdx u/p

dh 1/u

andV2(f;g) is defined in the same way by replacingIl,h0 byIl,h00 .

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Estimate ofV1(f;g). By the change of variabley=gl(x) and by (3.4), we deduce V1(f;g)≤

Z 1

0

h−(su+1)

X

l

sup

Il

|g0|p−1

× Z

g(Il,h0 )

sup

|v|≤hsupIl|g0|

|f0(v+y)−f0(y)|pdy u/p

dh 1/u

≤c1kfkU1 p(R)

X

l

sup

Il

|g0|p

1/p Z 1

0

hu((1/p)−s)−1dh 1/u

≤c2kfkUp1(R)

X

l

sup

Il

|g0|p 1/p

. Hence it suffices to show

X

l

sup

t∈Il

|g0(t)|p1/p

≤ ckgkBV1 p. (3.5)

Indeed, by the assumption ong, for any Il there existsξl∈Il such that

|g0l)| = sup

t∈Il

|g0(t)|.

Furthermore, set βl the right endpoint of Il. The open intervals {]ξl, βl[}l are pairwise disjoint. Then the assertion (3.5) follows from

X

l

sup

t∈Il

|g0(t)|p=X

l

|g0l)−g0l)|p≤νp(g0)p. (See (2.2) for the definition ofνp).

Estimate of V2(f;g). Using both the elementary inequality |∆h(f0 ◦ g)(x)| ≤ 2kf0k and the properties ofIl,h00 , it holds

V2(f;g)≤c1kf0k

X

l

sup

Il

|g0|p

1/p Z 1

0

hu((1/p)−s)−1dh 1/u

≤c2kfkU1

p(R)kgkBV1 p(R).

Hence we obtain (3.2) witha= 1. We put gλ(x) := g(λx) for all x∈R and all λ >0. Then (3.2) can be obtained for alla >0 since kgakBV1

p(R) =akgkBV1 p(R)

and

Mp,qs,u,a((f ◦g)0) =a(1/p)−s−1Mp,qs,u,1((f◦ga)0).

Step 2: Proof of (3.1). Let a > 0. Let f and g be as in Proposition 3.1. By Proposition 2.2 it holds

Mp,qs,u,∞((f◦g)0)≤ k(f ◦g)0kFs

p,q(R)=k(f◦g)0kp+Mp,qs,u,a((f◦g)0).

Applying (3.2), we obtain

Mp,qs,u,∞((f◦g)0)≤ kf0kkg0kp+c1a(1/p)−skfkU1

p(R)kgkBV1 p(R)

(3.6)

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with a positive constantc1 depending only ons, p andq (see the end of Step 1).

Now, by replacing g by gλ in (3.6), (gλ is defined in Step 1), and by using the equality

Mp,qs,u,∞ (f ◦gλ)0

s+1−(1/p)Mp,qs,u,∞((f◦g)0), we deduce

Mp,qs,u,∞((f◦g)0)

≤λ−skf0kkg0kp+c1a(1/p)−sλ(1/p)−skfkU1

p(R)kgkBV1 p(R)

(3.7)

for alla, λ > 0. Taking a= 1/λ. Now letting λ→ +∞ in (3.7), we obtain the

desired result.

Remark. Proposition 3.1 is also valid in then-dimensional case. The inequality (3.1) becomes

Mp,qs−1,u,∞(∂j(f ◦g))≤ckfkUp1(R)kgkVp(Rn), (j= 1, . . . , n) for allf ∈Up1(R)∩C1(R) and all real analytic functionsg inVp(Rn).

Proof of Theorem1.1. Step 1. Observe that the conditions f(0) = 0 andf0 ∈ L(R) imply

kf ◦gkp ≤ kf0kkgkp

which is sufficient for the estimateTf(g) with respect toLp(Rn)-norm.

Step 2: The case 1 < s < 1 + (1/p) and n = 1. We first consider a function f ∈ Up1(R), of class C1 and a function g real analytic in Lp(R)∩BVp1(R). By Proposition 3.1, it holds

kf◦gkFs

p,q(R)≤ckfkU1 p(R)

kgkp+kgkBV1 p(R)

. (3.8)

Now we prove (3.8) in the general case. Letg∈Lp(R)∩BVp1(R) andf ∈Up1(R).

We introduce a function ρ ∈ D(R) satisfying ρ(0) = 1, and we set ϕj(x) :=

2jnF−1ρ(2jx) for allx∈Rand allj ∈N; hereF−1ρdenotes the inverse Fourier transform ofρ. We set also

fj :=ϕj∗f−ϕj∗f(0) and gj :=ϕj∗g.

Then the functiongj is real analytic andgj→g inLp(R). We have also kgjkBV1

p(R)≤ckgkBV1

p(R), ∀j∈N. (3.9)

To prove (3.9), let{]ak, bk[, k = 1, . . . , N} be a set of pairwise disjoint intervals.

By the Minkowski inequality, it holds XN

k=1

Z

R

ϕj(y)

g0(bk−y)−g0(ak−y) dy

p1/p

≤ Z

R

j(y)|XN

k=1

g0(bk−y)−g0(ak−y)

p1/p dy.

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Now, for ally∈R, the intervals ]ak−y, bk−y[ (k= 1, . . . , N) are pairwise disjoint.

Then

XN

k=1

|g0j(bk)−g0j(ak)|p1/p

≤ kF−1ρk1νp(g0), ∀j∈N. Hence we obtain (3.9).

The functionsfj areC such thatfj(0) = 0 and satisfy kfjkU1

p(R)≤ckfkU1

p(R), ∀j ∈N. (3.10)

To prove (3.10), for allt >0 and all h∈[−t, t] we trivially have

j∗f0(x+h)−ϕj∗f0(x)| ≤ Z

R

j(y)|sup

|z|≤t

|f0(x−y+z)−f0(x−y)|dy.

By the Minkowski inequality, we have Z

R

sup

|h|≤t

j∗f0(x+h)−ϕj∗f0(x)|pdx

≤Z

R

j(y)|Z

R

sup

|z|≤t

|f0(x−y+z)−f0(x−y)|pdx1/p

dyp

≤tkF−1ρkp1Ap(f0)p, (see (1.2) for the definition ofAp).

Consequently,

Ap(fj0) +kfj0k≤ kF−1ρk1(Ap(f0) +kf0k) and we obtain the desired result.

On the other hand, we have

j→+∞lim kfj−fk= 0.

(3.11)

To prove (3.11), since limj→+∞ϕj∗f(0) =f(0) = 0, the Lipschitz continuous of f yields

|fj(x)−f(x)| ≤ kf0k

Z

R

|x−y||ϕj(x−y)|dy +|ϕj∗f(0)|

≤c2−jkf0k +|ϕj∗f(0)|.

Then the desired result holds. By the same argument, we obtain kgj−gk≤c2−jkg0k.

(3.12)

Now we apply (3.8) tofj andgj. Then by (3.9) and (3.10), we obtain kfj◦gjkFs

p,q(R)≤ckfkU1 p(R)

kgkp+ kgkBV1 p(R)

. (3.13)

The elementary inequality

kf◦g−fj◦gjk≤ kf0kkg−gjk+kf−fjk

complemented by (3.11)–(3.12) yields the convergence of the sequence{fj◦gj}j∈N tof◦g inL(R). Since

|hfj◦gj−f◦g, ψi| ≤ kfj◦gj−f◦gkkψk1, ∀ψ∈ D(R),

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thus we conclude that limj→+∞fj◦gj =f◦gin the sense of distributions. Hence, by the Fatou property ofFp,qs (R), see Subsection 2.1, we deduce (3.8).

Step 3: The case1< s <1 + (1/p)andn≥2. We use the notation (1.3). Since Triebel-Lizorkin space has the Fubini property (see [12, p. 70]), by (3.1) it holds

kf◦gkFs

p,q(Rn)≤c1 n

X

j=1

Z

Rn−1

kf◦gx0

jkpFs

p,q(R)dx0j1/p

≤c2kfkU1 p(R)

n

X

j=1

Z

Rn−1

kgx0

jkpp+kgx0

jkpBV1 p(R)

dx0j1/p

≤c3kfkU1 p(R)

kgkp+kgkVp(Rn)

.

Step 4: The case 0 < s ≤1. Due to the monotonicity of the Triebel-Lizorkin scale with respect to the smoothness parameter s, the result holds. Indeed, let 1 < t < 1 + (1/p). From Step 3, we have (1.4) with kf ◦gkFt

p,q(Rn) instead of kf ◦gkFs

p,q(Rn). Now we apply the continuous embedding Fp,qt (Rn),→ Fp,qs (Rn).

This completes the proof.

Remark. In case n= 1 and 1≤p, q <+∞the inequality (1.4) becomes kf◦gkFs

p,q(R)≤ckfkU1 p(R)

kgkFs

p,q(R)+kgkBV1 p(R)

for allg ∈Lp(R)∩BVp1(R), since Fp,qs (R)∩BVp1(R) = Lp(R)∩BVp1(R) if s <

1 + (1/p). To prove this equality, we have ˙Bp,∞1+(1/p)(R)∩Lp(R) = B1+(1/p)p,∞ (R) (see [12, 2.6.2, p. 95]). Then by (2.4) and by bothB1+(1/p)p,∞ (R) ,→Bp,1s (R) and Bp,1s (Rn),→Fp,qs (Rn), it holdsLp(R)∩BVp1(R),→Fp,qs (R).

4. Concluding remarks 4.1. Some corollaries

In this section we fix a smooth cut-off functionϕ∈ D(R) such thatϕ(x) = 1 for

|x| ≤ 1. We putϕt(x) :=ϕ t−1x

, ∀x∈Rand for all t >0. Also for brevity we introduce the spaceFp,qs (Rn) :=Fp,qs (Rn)∩L(Rn) endowed with the quasi-norm

kfkFs

p,q(Rn):=kfkFs

p,q(Rn)+kfk.

Theorem 1.1 has a consequence for the case of functionsf which are only locally inUp1(R).

Corollary 4.1. Lets, p, q be real numbers as in Theorem1.1. Then there exists a constantc >0such that the inequality

kf◦gkFs

p,q(Rn)≤ckf ϕkgkkU1 p(R)

kgkFs

p,q(Rn)+kgkVp(Rn)

(4.1)

holds for all functions g ∈ Fp,qs (Rn)∩ Vp(Rn) and all f ∈ Up1,`oc(R) satisfying f(0) = 0. Moreover, for all such functions f, the composition operator Tf takes Fp,qs (Rn)∩ Vp(Rn)toFp,qs (Rn).

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Proof. Since f ◦g = (f ϕkgk)◦g and (f ϕt)(0) = 0, the result follows from

Theorem 1.1.

There is consequence of Theorem 1.1 that we can obtain the equivalence of acting condition and boundedness.

Corollary 4.2. Lets, p, q be real numbers as in Theorem1.1. Letf be a func- tion inUp1,`oc(R)satisfyingf(0) = 0. Then the following assertions are equivalent:

(i) Tf satisfies the acting conditionTf(Fp,qs (Rn)∩ Vp(Rn))⊆ Fp,qs (Rn).

(ii) Tf maps bounded sets inFp,qs (Rn)∩ Vp(Rn)into bounded sets inFp,qs (Rn).

Proof. Lett >0. By (4.1), it holds

kf◦gkFp,qs (Rn)≤c tkf ϕtkUp1(R)

(4.2)

for all g ∈ Fp,qs (Rn)∩ Vp(Rn) such that kgkFs

p,q(Rn)+kgkVp(Rn) ≤t. Now, from (4.2), we conclude thatTf maps bounded sets inFp,qs (Rn)∩ Vp(Rn) into bounded

sets inFp,qs (Rn).

Remark. Ifn/p < s <1 + (1/p), then we can replaceFp,qs (Rn) byFp,qs (Rn) in Corollaries 4.1–4.2, sinceFp,qs (Rn),→Cb(Rn).

We show that Theorem 1.1 can be extended to the case of the boundedness between Besov spaces and Triebel-Lizorkin spaces.

Corollary 4.3. Let 1≤p, q <+∞and0< s <1 + (1/p). Then there exists a constantc >0such that the inequality

kf◦gkFp,qs (Rn)≤ckfkUp1(R)kgkB1+(1/p) p,1 (Rn)

holds for all functions g ∈ Bp,11+(1/p)(Rn) and all f ∈Up1(R) satisfying f(0) = 0.

Moreover, for all such functionsf, the operatorTf takesBp,11+(1/p)(Rn)toFp,qs (Rn).

Proof. This is an easy consequence of Theorem 1.1 and the following continuous embedding

Bp,11+(1/p)(Rn),→ Vp(Rn).

(4.3)

To prove (4.3), we use the notation (1.3) and the equivalent norm in Besov space given by

kfkp +

n

X

j=1

Z 1

0

t−sqk∆2te

jfkqp dt t

1/q

, (0< s <2), where{e1, . . . , en} denotes the canonical basis ofRn, see [15, p. 96].

Letf ∈Bp,11+(1/p)(Rn). Since ˙Bp,11+(1/p)(R)∩Lp(R) =Bp,11+(1/p)(R) (in the sense of equivalent norms, see, e.g. [15]), then by (2.4), we get

kfkVp(Rn)≤c

n

X

j=1

Z

Rn−1

kfx0jkp

B1+(1/p)p,1 (R)dx0j 1/p

.

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Using the Minkowski inequality with respect toLp(Rn−1), it follows Z

Rn−1

Z 1

0

t−(1+(1/p))k∆2tekfx0

jkp

dt t

p

dx0j≤ Z 1

0

t−(1+(1/p))k∆2tekfkp

dt t

p

forj, k∈ {1, . . . , n}. Then we obtain the desired result.

Remark. As in Corollary 4.1 we can see the case when the functionfassociated to the composition operatorTf belongs locally toUp1(R). Indeed, if 1≤p, q <+∞

and 0< s <1 + (1/p), it holds that kf◦gkFs

p,q(Rn)≤ckf ϕkgkkU1

p(R)kgkB1+(1/p) p,1 (Rn)

for allf ∈Up1,`oc(R) such thatf(0) = 0 and all g∈Bp,11+(1/p)(Rn)∩L(Rn).

4.2. Sharpness of estimate For simplicity we define

kgk:=kgkFs

p,q(Rn)+kgkVp(Rn).

According to Corollary 4.1, there is a substantial class ofnonlinearfunctionsf for which there exist constantscf =c(f)>0 such that

kf ◦gkFs

p,q(Rn)≤cfkgk, ∀g∈Fp,qs (Rn)∩ Vp(Rn).

In this form the inequality isoptimalif we avoid linearfunctions in the following sense.

Proposition 4.4. LetΩ : [0,+∞)→[0,+∞)be a continuous function satisfy- ing

t→+∞lim t1/pΩ(t) = 0.

(4.4)

Iff is a function such that the inequality

kf ◦gkFp,qs (Rn) ≤ Ω(kgk) (4.5)

holds for all g ∈ Fp,qs (Rn)∩ Vp(Rn), then f is an affine function (linear, if we assume thatf(0) = 0).

Proof. Let us define a smooth function ϕ∈ D(Rn) such thatϕ(x) = 1 on the cubeQ:= [−1,1]n andϕ(x) = 0 ifx /∈2Q. We put ∆2h:= ∆h◦∆hand

ga(x) :=ax1ϕ(x), (x= (x1, x0)∈R×Rn−1, a >0).

We havekgak ∼aand

2h(f◦ga)(x) = ∆2ah1f(ax1), (∀x∈ 2(1n)Q, ∀h∈ 4(1n)Q, ∀a >0).

On the other hand, for allh∈ 4(1n)Q(i.e. |h| ≤1/4), we have k∆2h(f ◦ga)kp≥Z

x∈(1/(2 n))Q

|∆2h(f◦ga)(x)|pdx1/p

≥c a−1/pZ a/(2 n)

−a/(2 n)

|∆2ah1f(y)|pdy1/p .

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By the above inequality, the embeddingFp,qs (Rn),→Bp,∞s (Rn) and the assumption (4.5), we obtain

Z a/(2 n)

−a/(2 n)

|∆2ah1f(y)|pdy1/p

≤c1|h|sa1/pΩ(kgak)

≤c2a1/pΩ(kgak), (∀h:|h| ≤1/4).

By settingu:=ah1, we deduce that Z a/(2

n)

−a/(2 n)

|∆2uf(y)|pdy1/p

≤c1a1/pΩ(c2a), ∀a >0, ∀u:|u| ≤a.

By applying the assumption (4.4) on Ω and takingato +∞, we obtain Z +∞

−∞

|f(y+ 2u)−2f(y+u) +f(y)|pdy= 0, ∀u∈R. Hencef(y+ 2u)−2f(y+u) +f(y) = 0 a.e.,∀y, u∈R. Then

f0(y+ 2u)−f0(y+u) = 0, i.e.,

it impliesf0(u) =f0(0) (∀u∈R). We deduce thatf0 is a constant.

References

1. Adams D. and Frazier M.,BMO and smooth truncation in Sobolev spaces, Studia Math.89 (1988), 241–260.

2. ,Composition operators on potential spaces, Proc. Amer. Math. Soc.114(1992), 155–165.

3. Allaoui S. E.,Remarques sur le calcul symbolique dans certains espaces de Besov `a valeurs vectorielles, Ann. Math. Blaise Pascal16(2)(2009), 399–429.

4. Bourdaud G. and Kateb M. E. D.,Fonctions qui op`erent sur les espaces de Besov, Math.

Ann.303(1995) 653–675.

5. Bourdaud G., Lanza de Cristoforis M. and Sickel W.,Superposition operators and functions of boundedp-variation, Rev. Mat. Iberoamer.22(2006), 455–485.

6. Brezis H. and Mironescu P.,Gagliardo-Nirenberg, compositions and products in fractional Sobolev spaces, J. Evol. Equ.1(2001), 387–404.

7. DeVore R. and Lorentz G. G.,Constructive Approximation, Springer, Berlin, 1993.

8. Franke J.,On the spacesFp,qs (R)of Triebel-Lizorkin type: Pointwise multipliers and spaces on domains, Math. Nachr.125(1986), 29–68.

9. Maz’ya V. and Shaposnikova T.,An elementary proof of the Brezis and Mironescu theorem on the composition operator in fractional Sobolev spaces, J. Evol. Equ.2(2002), 113–125.

10. Moussai M., The composition in multidimensional Triebel-Lizorkin spaces, Math. Nachr.

284(2-3)(2011), 317–331.

11. Peetre J.,New thoughts on Besov spaces, Duke Univ. Math. Series I, Durham, N. C., 1976.

12. Runst T. and Sickel W., Sobolev Spaces of Fractional Order, Nemytskij Operators, and Nonlinear Partial Differential Equations, de Gruyter, Berlin, 1996.

13. Triebel H.,Interpolation Theory, Function Spaces, Differential Operators, VEB Deutscher Verlag der Wissenschaften, Berlin, 1978.

14. ,Theory of Function Spaces, Birkh¨auser, Basel, 1983.

15. ,Theory of Function Spaces II, Birkh¨auser, Basel, 1992.

M. Moussai, Department of Mathematics, University of M’Sila, P.O. Box 166, 28000 M’Sila, Algeria,e-mail:[email protected]

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