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VIA PARA-DIFFERENTIAL OPERATORS

MADANI MOUSSAI

We will use the para-differential operators for the study of the composition opera- torTf : u fu on Lizorkin-Triebel space Fp , qs (Rn), in the following sense:

Letf:RRbe a function which belongs locally to Besov spaceBs+1∞, q(R) such that f(0) = 0, then Tf takes either Bs , q(Rn)Fp , qs (Rn) (in case s > 1) or W1(Rn)Fp , qs (Rn) (in case 0< s <1) toFp , qs (Rn).

AMS 2010 Subject Classification: 46E35, 47H30.

Key words: Besov spaces, Littlewood-Paley decomposition, Lizorkin-Triebel spa- ces, pseudo-differential operators.

1. INTRODUCTION AND MAIN RESULT

LetEp,qs (Rn) denote the real space of either the Besov spaceBp , qs (Rn) or the Lizorkin-Triebel space Fp , qs (Rn), when there is no need to distinguish the Bp , qs (Rn) space and theFp , qs (Rn) one (abbreviated toB-space andF-space in the following). For a Borel-measurable functionf :R→Rwe are interested in composition by the study of the associate nonlinear operatorTf :u→f◦uon Esp,q(Rn). The problem of the composition consists in the full characterization of functions f such that Tf takes Ep,qs (Rn) to itself (such function f is also said to act on Ep,qs (Rn) by composition). In this sense, the following results are well-known:

– For 1≤p <∞and 0< s <1, a functionf :R→Racts onEp,qs (Rn) by composition if and only iff(0) = 0, and eitherfis locally Lipschitz continuous, i.e.,f ∈W1,`oc(R) (in the caseEp,qs (Rn)⊂L(R)), orf is uniformly Lipschitz continuous i.e. f ∈ W1(R) (in the case Ep,qs (R) 6⊂ L(R)). For p = ∞, a function f :R → Racts on Bs , q(R) by composition if and only if f(0) = 0 and f ∈W1,`oc(R), cf. [2, 17].

If we consider an investigation such thatTf takes Ep,qs (Rn)∩L(Rn) to Esp,q(Rn), the problem of the composition is not trivial in the sense that f is not linear. We recall the following results:

MATH. REPORTS13(63),2 (2011), 151–170

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– Dahlberg [9] proved: For 1≤ p ≤ +∞ and 1 + (1/p) < m < n/p an integer, if Tf maps the Sobolev spacesWpm(Rn) into itself, then f is a linear function.

– The result of Dahlberg was extended toEp,qs (Rn). More precisely, for either 1 + (1/p) < s < n/p or 1 + (1/p) = s < n/p (with 1< q ≤ ∞ in the case ofB-space and 1< p <∞in the case of F-space), the operator Tf takes Esp,q(Rn) into itself, if and only if f(t) =c tfor some real c, see e.g. [17].

Many authors studied analytically the boundedness of the composition operator Tf on Ep,qs (Rn), as in the different works of Bourdaud and his col- laborators [2, 3, 4, 6, 7], as well as in [14] and Runst-Sickel [17], for example.

Using the para-differential operators theory, Meyer [12] proved the bounded- ness of Tf, associated to smooth functions f ∈C(R) withf(0) = 0, on the Bessel potential spaces Hps(Rn) in the algebra case, i.e.,s > n/p .

In this work, we will be interested in the composition problem using the para-differential operators. Then we will essentially prove the following results, in which our principal contribution concerns the part of F-space. But before formulating this, we introduce the following notation, which depends on the choice of the parameter s

(1.1) K =

( W1(Rn) in the case 0< s <1, Bs , q(Rn) in the case s >1.

Theorem 1.1. Let 0 < s 6= 1 and 1 ≤ p, q ≤ ∞, with 1 ≤ p < ∞ in the case of F-space. Let f : R → R be a Borel measurable function such that f(0) = 0 and f ∈ Bs+1, `oc, q (R). Then the composition operator Tf maps K ∩Ep,qs (Rn) into Ep,qs (Rn).

As an immediate consequence, we have the following statement:

Corollary 1.2. Let p, q and s be as in Theorem 1.1. Let f : R → R be a Borel measurable function such that f(0) = 0. Then the following assertions hold:

(i) If f(j) ∈ L`oc(R) for j = 1, . . . ,[s] + 2, then Tf maps K ∩Ep,qs (Rn) into Ep,qs (Rn).

(ii)Assume in addition s−[s]>1/p. If f ∈Ep , qs+2, `oc(R), then Tf maps K ∩Ep,qs (Rn) into Ep,qs (Rn).

Remark 1.3. We have the identities (equivalent norms):

–Wpm(Rn) =Fp ,m2(Rn), 1< p <∞,m= 1,2, . . ..

–Hps(Rn) =Fp ,s2(Rn), 1< p <∞.

– The H¨older spaces Cs(Rn) = Bs ,∞(Rn), 0 < s 6= integer, see [18, 2.2.2, 2.5.7].

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– Let Wps(Rn) denote the Slobodeckij spaces, see [18, 2.2.2] for a defi- nition. Then Wps(Rn) = Fp , ps (Rn), 1 < p < ∞, 0 < s 6= integer, see [18, 2.2.2(18), 2.5.7(5)].

Hence by Theorem 1.1 it holds that, fors >0 and f ∈Bs+1, `oc∞, q (R), the operator Tf maps Cs(Rn) into itself. If in addition f(0) = 0, then Tf maps K ∩E intoE, whereE =Wpm(Rn) orHps(Rn) orWps(Rn).

Remark 1.4. As mentioned before the main result, the part ofB-space in Theorem 1.1 can be compared with the previous works of Peetre, which proved in [15] that for s > n/p and a function f : R→Rsuch that f(0) = 0 and f ∈C(R), the operatorTf maps Bsp , q(Rn) to itself.

Again Meyer in [12] studied the boundedness of the composition opera- tor modulo the para-product on algebra spaces Hps(Rn), in which the “para- linearization” was used to transform a partial differential nonlinear equation to an almost linear one. We will extend the result of the Hps-boundedness to Esp,q-spaces, in the same way of Theorem 1.1.

We turn to the main result. The claimed boundedness in Theorem 1.1 will be reflected by certain refined inequalities. For this reason we found it convenient to recall the Littlewood–Paley decomposition, see Subsection 2.1 below. This leads us to give the outline of the paper. In Section 2, we first collect the needed material about Besov and Lizorkin-Triebel spaces and some classical inequalities. Second, as Bs , q(Rn) plays an important role in this work, we recall, in Subsections 2.2.1–2.2.2, some properties and characteriza- tion by differences of this space. Section 3 is devoted to the proof of the main result, in which we give in Subsections 3.1–3.2 a study of the composition op- erator on Bs , q(Rn), the basic tool and the complete proof, respectively; here we extend our investigation to the case s= 1. Finally, in Section 4 we prove a result for the composition operator modulo the para-product.

Notation. All functions and spaces are assumed to be real valued. For brevity, we employ some reductions. The parameters p, q are fixed as follows:

p ∈ [1,+∞] in the case of B-space, and p ∈ [1,+∞[ in the case of F-space, and q ∈[1,+∞]. We put

Ep,q=

`q(Lp) in the case B-space, Lp(`q) in the case F-space.

We will use acut-offfunction denoted byρ: we fixρ∈C0(R), a function such that suppρ⊂[−2,2] andρ(x) = 1 if x∈[−1,1]. We put

(1.2) ρt(x) =ρ(x/t), t >0, x∈R.

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For a space E of functions defined on Rn, the associated local space is defined as

E`oc={f ∈ S0:ϕf ∈E, ∀ϕ∈C0(Rn)}.

We denote byW1(Rn) the space of bounded functions such that the first order weak derivatives are bounded, equipped with the norm

kfkW1

(Rn)=kfk+

n

X

j=1

k∂jfk.

Also, we will use several times the following elementary convolution es- timate: For any real b ∈]0,1[ and any sequence {εj}j∈N of positive numbers, such that k{εj}j∈Nk`q =C <+∞, it holds

(1.3)

X

k=0 k

X

j=0

bk−jεj

!q!1/q

+

X

k=0

X

j=k

bj−kεj

!q!1/q

≤ 2C 1−b. Now, the standard notations: Smeans the Schwartz space of all infinitely differentiable and rapidly decreasing functions, andS0its topological dual, the space of tempered distributions. Iff ∈ S0, letFf =fbbe the Fourier transform and F−1f denotes its inverse. Ifϕ∈ S then we set

ϕ(ξ) =b Z

Rn

e−ix·ξϕ(x) dx and F−1ϕ(ξ) = (2π)−nϕ(−ξ),b ∀ξ ∈Rn. For s∈R, [s] denotes the greatest integer less than or equal to s. Withk · kp we denote the Lp-norm. For 1 ≤ p ≤ ∞ we denote by p0 = p/(p−1) the conjugate exponent. Constants c, c1, . . . are strictly positive and depend only on the fixed parameters n, s, p, q, and probably on auxiliary functions; their values may vary from line to line.

2. BESOV AND LIZORKIN-TRIEBEL SPACES

We begin this section by noting that, for basic properties of B-space and F-space, such equivalent norms, embeddings, approximation by smooth functions, . . .etc, we refer to Bergh and L¨ofstr¨om [1], Franke [10], Peetre [16], Runst and Sickel [17] and Triebel [18, 19].

2.1. Definition and first properties

Letγ be a C(Rn) even and positive function, such that 0≤γ(ξ) ≤1, γ(ξ) = 1 for |ξ| ≤1 andγ(ξ) = 0 for |ξ| ≥3/2. We put

(2.1) φ(ξ) =γ(ξ)−γ(2ξ), ∀ξ ∈Rn,

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whose support is contained in the compact annulus (1/2)≤ |ξ| ≤(3/2), and the identity PM

j=1 φ(2−jξ) = γ(2−Mξ)−γ(ξ) for all integer M ≥ 1 yields (when M →+∞), the following resolution of unity

γ(ξ) +

X

j=1

φ(2−jξ) = 1, ∀ξ∈Rn.

We introduce the pseudo-differential operators Sj and Qj defined on S0(Rn) by

S0 =Q0=γ(D), Sj =γ(2−jD), Qj =φ(2−jD) forj= 1,2, . . . . Since γ is even,Sjf and Qjf are real valued as soon asf is real valued function. Hence for every f ∈ S0(Rn), the Littlewood–Paley decomposition is described by the following series

(2.2) f =

X

j=0

Qjf =Skf +

X

j=k+1

Qjf, ∀k∈N,convergence in S0(Rn).

Remark 2.1. According to Young inequality in Lp(Rn), the families of operators {Sj}j∈N and {Qj}j∈N constitute bounded subsets of the normed space L(Lp(Rn)), for anyp∈[1,+∞].

Definition 2.2. Lets∈R. The space Ep,qs (Rn) is the collection off ∈ S0 such that

(2.3) kfkEs

p,q(Rn)=k{2skQkf}k∈NkEp,q <+∞.

By means of (2.2), we have introduced the Banach space Ep,qs (Rn); its norm is independent of the chosen functions (2.1), see e.g. [18].

Lemma 2.3. The families of operators {Sj}j∈N and {Qj}j∈N are uni- formly bounded in Ep,qs (Rn).

Proof. The proof of the boundedness in the case ofB-space is obvious, and will be omitted. Now the case ofF-space. We introduce the maximal function (2.4) Q∗,ak f(x) = sup

y∈Rn

|Qkf(x−y)|

1 + (2k|y|)a , with a >0.

Then in (2.3), by replacingQkf byQ∗,ak f witha > min(p,q)n , we obtain an equi- valent norm in F-space, see e.g. [19, Theorem 2.3.2]. We will use this norm.

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Clearly,QjQkf(x) = 0 if|k−j| ≥4, which implies the following estimate

|QjQkf(x)| ≤ Z

Rn

|F−1φ(y)| |Qkf(x−2−jy)|dy

≤ Z

Rn

(1 + 23a|y|a)|F−1φ(y)||Qkf(x−2−jy)|

1 + (2k−j|y|)a dy

≤c|Q∗,ak f(x)|, and gives the desired result.

Now, we recall some estimates of the Yamazaki type for the conver- gent series.

Proposition2.4. Letb >1. (i)Let s∈R. Then there exists a constant c >0, such that for all sequence{gj}j∈NofS0(Rn)’s functions, with thesuppbgj is contained in the annulus b−12j ≤ |ξ| ≤ b2j and k{2sjgj}j∈NkEp,q = A <

+∞, the series P

j=0 gj converges in S0(Rn) to a limit in Ep,qs (Rn), and

X

j=0

gj Es

p,q(Rn)

≤c A.

(ii) If s > 0 the assertion (i) remains true if one replaces the annuls b−12j ≤ |ξ| ≤b2j by the ball |ξ| ≤b2j.

Proof. The proof of (i) can be found in [20, Theorem 3.6] or [17, Propo- sition 2.3.1/1, p. 59], while the proof of (ii) is given in [20, Theorem 3.7] or [17, Proposition 2.3.1/2, p. 60].

Proposition 2.5. Let b > 1 and s ∈ R. Then there exists a constant c >0, such that for all g∈Ep,qs (Rn), and all function θ∈C0(Rn) supported by the annulus b−1 ≤ |ξ| ≤b, the sequence {gj}j∈N, which is defined by bgj = θ(2−j·)bg, satisfies

k{2sjgj}j∈NkEp,q ≤ckgkEs p,q(Rn). Proof. Step1.The case of F-space.

Substep 1.1. The case q = 2. Let Lj be a pseudo-differential operator with a symbol θ(2−jξ). We introduce the operator T : g → {Lj(g)}j∈N, defined from S(Rn) toS0(Rn, `2(N)) the space of tempered distributions with values in the Hilbert space `2(N). We haveT(g)(ξ) =[ M(ξ)bg(ξ), withM(ξ) = {θ(2−jξ)}j∈N. We claim that

(2.5) kM(α)(ξ)k`2(N) ≤c(1 +|ξ|)−|α|, ∀α∈Nn. Indeed, observe that

–|ξ| ∼2j on support ofθ(2−jξ), then

|2−j|α|θ(α)(2−jξ)| ≤c(1 +|ξ|)−|α|, c=c(b, α, n)>0;

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– there exists a positive integerr =r(b), such that for allξ there existr annulus b−12j ≤ |ξ| ≤b2j for whichξ belongs, hence (2.5) is obtained with a constantc r1/2(α)k.

We now apply the vectorial version of Mihlin–Marcinkiewicz multipliers theorem, cf. [1, Theorem 6.1.6], then we obtain

kT(g)kLp(Rn,`2(N))≤ckgkp.

Substep1.2. The general case. By considering the supports we have (2.6) θ(2−jξ)Qdkg(ξ) = 0, for |k−j| ≥1 +ν, ν = 1 +hlog 2b

log 2 i

. Using (2.4), then we automatically replaceQkgbyQ∗,ak gin (2.3), and we have

|gj(x)| ≤ Z

Rn

X

|k−j|≤ν

|F−1θ(y)| |Qkg(x−2−jy)|dy

≤ Z

Rn

(1 + 2νa|y|a)|F−1θ(y)| X

|k−j|≤ν

|Qkg(x−2−jy)|

1 + (2k−j|y|)a dy

≤(2ν+ 1) Z

Rn

(1 + 2νa|y|a)|F−1θ(y)|dy

X

|k−j|≤ν

|Q∗,ak g(x)|

and we obtain

|gj(x)| ≤

















 c

P

k=j−ν

2−sk(2sk|Q∗,ak g(x)|) if s >0, c

j+ν

P

k=j−ν

|Q∗,ak g(x)| if s= 0, c

j+ν

P

k=0

2−sk(2sk|Q∗,ak g(x)|) if s <0.

Consequently, ifs >0 ors <0, the estimate of P

j=0 2sjq|gj(x)|q1/q

follows using (1.3). However, the cases= 0 can be obtained by H¨older inequality, i.e.,

X

j=0

|gj(x)|q ≤c1

X

j=0

j+ν X

k=j−ν

1

q/q0 j+ν

X

k=j−ν

|Q∗,ak g(x)|q

≤c2(2ν+ 1)q/q0

X

j=0 j+ν

X

k=j−ν

|Q∗,ak g(x)|q

≤c3(2ν+ 1)1+(q/q0)

X

k=0

|Q∗,ak g(x)|q.

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Now, we choose the number a > min(p,q)n , then the result follows.

Step2.The case of B-space. We have

k2jnF−1θ(2j·)∗Qkgkp ≤ kF−1θk1kQkgkp. Again, from (2.6) we arrive at

kgjkp

















 c

P

k=j−ν

2−sk(2skkQkgkp) if s >0, c

j+ν

P

k=j−ν

kQkgkp if s= 0, c

j+ν

P

k=0

2−sk(2skkQkgkp) if s <0.

Then we proceed as in Step 1. We omit details.

2.2. The special caseBs , q(Rn) 2.2.1. Some properties of Bs , q(Rn)

We need the following statements, which the first and the second can be found in [17, Theorem 2.2.4/1] and [19, Theorem 2.3.8, pp. 58–59], respectively.

Proposition 2.6. Let s > 0. Then the following continuous embed- ding holds:

(2.7) Bs , q(Rn),→L(Rn).

Proposition 2.7. Let s∈R. Let m= 1,2,3, . . .. Then the expression X

|α|≤m

kf(α)kBs−m

, q(Rn)

defines an equivalent norm in Bs∞, q(Rn).

Proposition 2.8. Let 0 < s ≤ 1 < t. Then the following chain, of continuous embeddings, holds:

Bt , q(Rn),→W1(Rn),→Bs , q(Rn).

Proof. SinceBt−1, q(Rn),→L(Rn), then the first one is satisfied. Now, by Proposition 2.7, and the embedding L(Rn),→B0 ,∞(Rn) see [17, Theo- rem 2.2.2/(8)], it holds

kfkB1

,(Rn)≤c1

kfk+

n

X

j=1

k∂jfkB0

,(Rn)

≤c2kfkW1

(Rn).

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Now by the embedding B1 ,(Rn) ,→ Bs , q(Rn), for 0 < s < 1, we obtain the desired result.

Proposition 2.9. Let s > 0. Then the Banach space Bs , q(Rn) is an algebra for the pointwise multiplication of functions.

Proof. Letf, g∈Bs , q(Rn). Form (2.2), we can write (2.8) f g=

X

j=0

Qjf

Sjg+

X

k=j+1

Qkg

=

X

j=0

(Qjf) (Sjg) +

X

k=1

(Sk−1f) (Qkg).

Since F(Qjf Sjg) is supported by the ball |ξ| ≤ 3(2j), then by Propositions 2.4(ii) and 2.6, and Remark 2.1, it holds

X

j=0

(Qjf) (Sjg) Bs

, q(Rn)

≤c1kfkBs

, q(Rn)kgk≤c2kfkBs

, q(Rn)kgkBs

, q(Rn). Similarly for the last term in (2.8), and details will be omitted.

Remark 2.10. We recall the definition of the pointwise multiplication of functions. Let f, g∈ S0. The productf g is defined by the formula

(2.9) f g= lim

j→+∞(Sjf)(Sjg)

if the limit on the right hand side of (2.9) exists in S0 (see [17, 4.2]).

2.2.2. Characterization of Bs , q(Rn)by differences

The Littlewood-Paley approach is the simplest to Besov space, as far as we are concerned with estimate of families of functions, duality and approxi- mation . . . , see e.g. [18]. Alternative descriptions by using differences turn out to be more convenient for the study of composition operators. Further, we need the following characterization of the B-space; we give it forBs , q(Rn).

Proposition 2.11. (i) Let 0< s <1. Then the expression kfk+

Z

|h|≤1

|h|−sqkf(·+h)−fkq dh

|h|n 1/q

defines an equivalent norm in Bs∞, q(Rn).

(ii) Let 0< s < 1. Then a function f ∈L(Rn) belongs to Bs , q(Rn), if and only if

(2.10) kfk+ Z 1

0

τ−sq sup

|h|≤τ

|f(·+h)−f|

q

dτ τ

1/q

<+∞.

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(iii) Let 0< s <2. Then a function f ∈L(Rn) belongs to Bs , q(Rn), if and only if

(2.11) kfk+ Z 1

0

τ−sq sup

|h|≤τ

|f(·+h) +f(· −h)−2f|

q

dτ τ

1/q

<+∞.

Moreover, the expressions (2.10) and (2.11) generate equivalent norms in the Besov space Bs , q(Rn). Also, the above assertions (i)–(iii) remain true if one replaces R

|h|≤1. . .dh and R1

0 . . . dτ by R

Rn. . .dh and R

0 . . .dτ, respectively.

Proof. See e.g. [18, Theorem 2.5.12] and [19, Theorem 3.5.3, p. 194].

3. PROOF OF THE MAIN RESULT

3.1. Preparation, the composition operator on Bs , q(Rn)

The boundedness of the composition operator onBs∞, q(Rn) is one of the main tools when we prove Theorem 1.1. That is the following statement.

Proposition 3.1. Let 0< s6= 1. Letf :R→Rbe a function such that f ∈Bs, `oc∞, q(R). If u∈ K thenf ◦u∈Bs , q(Rn).

Proof.Let t≥max(1,kuk). For the brevity we putfet=f ρt (see (1.2) for the definition of ρt), and we will use the equality f ◦u = fet◦u. The inequality

(3.1) |f(u(x))| ≤ kfk, ∀x∈Rn,

implies that f ◦u belongs to L(Rn). Now we divide our proof into some steps with respect to s:

Step1. The case0< s <1. Clearly, it holds Z

Rn

|h|−sq

sup

|v|≤k∇uk|h|

|fet(·+v)−fet|

q

dh

|h|n 1/q

≤c1k∇uks Z

0

τ−sq sup

|v|≤τ

|fet(·+v)−fet|

q

dτ τ

1/q

≤c2kfetkBs

, q(R)kuksW1

(Rn), which, together with (3.1), gives us

kf◦gkBs

, q(Rn) ≤ ckfetkBs

, q(R)

1 +kuksW1

(Rn)

.

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Step2. The case 1< s6= integer. Let|α| ≤[s], then ∂αfet(u) is the sum of terms of type

(fet(`)◦u)∂β1u . . . ∂β`u, |α| ≥`≥0, |β1|+· · ·+|β`|=|α|.

Then it suffices to estimate

(3.2) U =

Z

Rn

|h|−(s−[s])qkA(·, h)kq dh

|h|n 1/q

, where

A(x, h) =fet(`)(u(x+h))·∂β1u . . . ∂β`u(x+h)−fet(`)(u(x))·∂β1u . . . ∂β`u(x).

The Lipschitz continuous of uyields

|fet(`)(u(x+h))−fet(`)(u(x))| ≤

sup

|v|≤k∇uk|h|

|fet(`)(·+v)−fet(`)| , and it holds

|A(x, h)| ≤ |fet(`)(u(x+h))−fet(`)(u(x))| |∂β1u . . . ∂β`u(x+h)|+

+|fet(`)(u(x))| |∂β1u . . . ∂β`u(x+h)−∂β1u . . . ∂β`u(x)| ≤

≤c1

sup

|v|≤k∇uk|h|

|fet(`)(. . .+v)−fet(`)|

k∂β1uk. . .k∂β`uk+ +kfet(`)k

|∂β1u(x+h)−∂β1u(x)| k∂β2uk . . .k∂β`uk+ +|∂β2u(x+h)−∂β2u(x)| k∂β1ukk∂β3uk. . .k∂β`uk +. . .

≤c2 max

kfet(`)k,

sup

|v|≤k∇uk|h|

|fet(`)(·+v)−fet(`)|

×

×

k∂β1uk

Bs−[s], q(Rn). . .k∂β`uk

Bs−[s], q(Rn)+ +|∂β1u(x+h)−∂β1u(x)| k∂β2uk

Bs−[s]∞, q(Rn). . .k∂β`uk

Bs−[s], q(Rn)+. . .

. Then we obtain the following inequality

|A(x, h)| ≤ c3 max

kfet(`)k,

sup

|v|≤k∇uk|h|

|fet(`)(·+v)−fet(`)|

(3.3) ×

×

kuk`Bs

, q(Rn) +

`

X

j=1

|∂βju(x+h)−∂βju(x)|kuk`−1Bs

, q(Rn)

.

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Here, we have employed the Sobolev embedding Bs−[s], q(Rn) ,→ L(Rn), (s−[s]>0). Now by the embeddingBs , q(Rn),→Bs−[s], q(Rn) and the follow- ing inequalities

(3.4) Z

Rn

|h|−(s−[s])qk∂βju(·+h)−∂βjukq dh

|h|n 1/q

≤ kukBs

∞, q(Rn), the estimate of the last term in (3.3), which is defined byP`

j=1. . ., is obvious;

it is bounded byckuksBs

, q(Rn). Also, by the embedding (2.7) and Proposition 2.11(ii) we obtain

Z

Rn

|h|−(s−[s])q

sup

|v|≤k∇uk|h|

|fet(`)(·+v)−fet(`)|

q

dh

|h|n 1/q

≤c1k∇uks−[s] Z

0

τ−(s−[s])q sup

|v|≤τ

|fet(`)(·+v)−fet(`)|

q

dτ τ

1/q

≤c2kuks−[s]Bs

, q(Rn)kfet(`)k

Bs−[s], q(R)≤c3kuks−[s]Bs

, q(Rn)kfetkBs

, q(R). All together with the inequality kfet(`)k≤ckfetkBs

, q(R), yield (3.5) U ≤ckfetkBs

, q(R)kuksBs

, q(Rn).

Step3. The cases= 2,3, . . .. We fix a numberσ such that 1< σ <2.

Substep3.1. The case s= 2. Assume first

fet∈B1 , q(R) and u∈B2∞, q(Rn).

Let us prove the following inequality (3.6) kf ◦ukB1

, q(Rn)≤ckfetkB1

, q(R)

1 +kukB2

, q(Rn)+kuk1/σB2

∞, q(Rn)

. We start with the following identity

fet(u(x+h)) +fet(u(x−h))−2fet(u(x)) = 1 2

2

X

j=1

Aj(x, h) +Aj(x,−h) , where the Aj’s are defined by

A1(x, h) =fet(u(x+h))−fet(2u(x)−u(x−h)), A2(x, h) =fet(u(x+h)) +fet(2u(x)−u(x+h))−2fet(u(x)).

Using the norms defined in (2.10)–(2.11), then it suffices to estimate (3.7) Uj =

Z 0

τ−1

sup

|h|≤τ

|Aj(·, h)|

q

dτ τ

1/q

, forj= 1,2.

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Estimate of U1. Since u∈Bσ ,∞(R), it holds

|u(x+h) +u(x−h)−2u(x)| ≤ckukB2

∞, q(Rn)|h|σ. Hence for all |h| ≤τ

|A1(x, h)| ≤c

sup

|v|≤cτσkukB2

∞, q(Rn)

|fet(·+v)−fet| . Consequently, in (3.7) the change of variable w = c τσkukB2

, q(Rn) in the integral w.r.t. τ, and the continuous embeddingB1 , q(R),→B1/σ, q(R) yield (3.8) U1 ≤c1kfetk

B1/σ∞, q(R)kuk1/σB2

, q(Rn)≤c2kfetkB1

∞, q(R)kuk1/σB2

, q(Rn). Estimate of U2. For |h| ≤τ and allx∈Rn, it holds

|A2(x, h)| ≤ sup

|v|≤k∇uk|h|

|fet(u(x) +v) +fet(u(x)−v)−2fet(u(x))|

sup

|v|≤k∇ukτ

|fet(·+v) +fet(· −v)−2fet| .

In (3.7), using the change of variable w = k∇ukτ in the integral w.r.t. τ, then by the embedding B2 , q(Rn),→W1(Rn) (see Proposition 2.8) it holds (3.9) U2 ≤c1kfetkB1

, q(R)k∇uk≤c2kfetkB1

, q(R)kukB2

, q(Rn). Now (3.6) follows from (3.1), (3.8) and (3.9).

Substep3.2. The case s= 2. Letfet∈B2 , q(R) and u∈B2∞, q(Rn). The function fet0 satisfies (3.6), because fet0 ∈ B1 , q(R), then by Propositions 2.7 and 2.9, it holds

kfet◦ukB2

, q(Rn)≤c1

n

X

j=1

k(fet0◦u)∂jukB1

, q(Rn)

≤c2

n

X

j=1

k(fet0◦u)kB1

, q(Rn)k∂jukB1

∞, q(Rn), which is bounded by

(3.10) c3kfetkB2

, q(R)kukB2

∞, q(Rn)

1 +kukB2

, q(Rn)+kuk1/σB2

, q(Rn)

. Substep3.3. Now we argue by induction on the integers, then we prove (3.10) with B∞,qs instead of B∞,q2 . Let f ∈ Bs+1, `oc∞, q (R) and u ∈ Bs+1, q(Rn).

(14)

We apply the inductive assumption to fet0. Then by Proposition 2.7 and the algebra property of Bt , q(Rn),t >0, see Proposition 2.9, we obtain

kfet◦ukBs+1

, q(Rn)≤c1 n

X

j=1

k(fet0◦u)∂jukBs

, q(Rn)

≤c2

n

X

j=1

k(fet0◦u)kBs

, q(Rn)k∂jukBs

, q(Rn)

≤c3kfet0kBs

, q(R)kuksBs

, q(Rn)kukBs+1

∞, q(Rn)

1 +kukBs

, q(Rn)+kuk1/σBs

, q(Rn)

≤c4kfetkBs+1

, q(R)kuks+1

Bs+1, q(Rn)

1 +kukBs+1

, q(Rn)+kuk1/σ

Bs+1, q(Rn)

. This completes the proof.

Remark 3.2. In the case s > 1, Proposition 3.1 has been proved by Bourdaud and Lanza de Cristoforis, see [3, Theorem 4].

If s = 1, Proposition 3.1 can be studied, but by replacing K (see (1.1) for a definition) by B1+ε, q(Rn) for ε >0 arbitrary small.

Proposition 3.3. Let f :R→Rbe a function such that f ∈B1, `oc, q(R).

Let ε >0. If u∈B1+ε, q(Rn) thenf ◦u∈B1 , q(Rn).

Proof. Let f ∈ B1, `oc∞, q(R) and u ∈ B1+ε, q(Rn), then we will prove the following inequality

kf ◦ukB1

, q(Rn)≤ckfetkB1

, q(R)

1 +kukB1+ε

∞, q(Rn)+kuk1/(1+ε)

B1+ε, q(Rn)

; with fet = f ρt and t ≥ max(1,kuk). Using the splitting and notation of Substep 3.1 of the proof of Proposition 3.1.

Assume that 0< ε <1. Since fet∈B1 , q(R),→B1/(1+ε), (R), it holds

|A1(x, h)| ≤ckfetkB1

∞, q(R)|u(x+h) +u(x−h)−2u(x)|1/(1+ε). Since 0<1 +ε <2, then we have

Z 0

τ−1

sup

|h|≤τ

|u(·+h)+u(·−h)−2u|1/(1+ε)

q

dτ τ

1/q

≤ kuk1/(1+ε)

B1+ε, q/(1+ε)(Rn), Consequently, the continuous embedding B1+ε, q/(1+ε)(Rn),→B1+ε, q(Rn) yields

U1≤ckfetkB1

, q(R)kuk1/(1+ε)

B1+ε, q(Rn).

The estimate of U2 is unchanged, we just use in (3.9) the embedding B1+ε, q(Rn),→W1(Rn),

(15)

i.e., k∇uk≤ckukB1+ε

, q(Rn).

Proposition 3.4. Let 0 < s 6= integer. Let f : R → R be a function such thatf(j)∈L`oc(R) forj= 1, . . . ,[s] + 1. Ifu∈ Kthenf◦u∈Bs , q(Rn).

Proof. As in the Step 2 of the proof of Proposition 3.1 with s > 0, we arrive to estimate (3.2). The locally Lipschitz continuous of f(j) yields

|fet(`)(u(x+h))−fet(`)(u(x))| ≤ckfet(`+1)k|u(x+h)−u(x)|, 0≤`≤[s], and we have (see (3.3))

|A(x, h)| ≤cmax

kfet(`)k,kfet(`+1)k

|u(x+h)−u(x)|kuk`Bs

∞, q(Rn)+ +

`

X

j=1

|∂βju(x+h)−∂βju(x)|kuk`−1Bs

∞, q(Rn)

.

Hence, using (3.4) we obtain an estimate similar to (3.5). Notice that, in the case 0< s <1, we also employ the embeddingW1(Rn),→Bs∞, q(Rn).

3.2. Basic estimates

It is well-known that fors >0 all function ofBs , q(Rn) acts by pointwise multiplication on Ep,qs (Rn), cf. [16, Theorem 9, p. 144] and [17]. We use this idea in the present section. Also, the proof of Theorem 1.1 relies upon the fol- lowing statement which is an almost orthogonality type, and has been proved previously for L2(Rn),Hps(Rn) and Bp , qs (Rn) in [8], [13] and [5], respectively.

Proposition 3.5. Let b > 1 and s > 0. Then there exists a constant c >0, such that the inequality

X

j=0

χjfj

Esp,q(Rn)

≤c

sup

k∈N

kkBs

∞, q(Rn)

k{2sjfj}j∈NkEp,q

holds, for every sequence {χj}j∈N of functions in Bs , q(Rn), and every se- quence {fj}j∈N such that suppfbj ⊆ {ξ∈Rn:|ξ| ≤b2j}.

Proof. We begin by a splitting of the area of summing with respect toj, i.e., we write

χj =Sjχj+

X

k=j+1

Qkχj, j∈N,

(16)

which implies P

j=0χjfj =g1+g2, where g1 =

X

j=0

fjSjχj and g2=

X

k=1 k−1

X

j=0

fjQkχj.

Estimate of g1. The function fbj ∗(γ(2−j·)χbj) is supported by the ball

|ξ| ≤2j(b+ 2), then Proposition 2.4(ii) and the inequality kSjχjk≤ckF−1γk1 sup

k∈N

kk, ∀j∈N give the desired result.

Estimate of g2. Also, since the function Pk−1

j=0fbj ∗(φ(2−k·)χbj) is sup- ported by the ball |ξ| ≤2k(2 + (b/2)), then Proposition 2.4(ii) yields

kg2kEs

p,q(Rn)≤c

2sk

k−1

X

j=0

fjQkχj

k∈N

E

p,q

.

Now using in the order Minkowski (w.r.t. `q, q ≥ 1) and H¨older inequalities, we obtain the desired estimate, i.e., for theB-space

kg2kBs

p , q(Rn)

X

k=1

2skq k−1

X

j=0

kfjQkχjkp q1/q

X

k=1

2skq k−1

X

j=0

kfjkpkQkχjk q1/q

X

j=0

X

k=j+1

2skqkQkχjkq 1/q

2−sj(2sjkfjkp)

≤csup

j∈N

jkBs

, q(Rn)

X

`=0

2s`qkf`kqp 1/q

, and for the F-space

kg2kFs

p , q(Rn)

X

k=1

2skq

k−1

X

j=0

fj(·)Qkχj(·)

q1/q p

X

j=0

X

k=j+1

2skq|fj(·)Qkχj(·)|q 1/q

p

X

j=0

X

k=j+1

2skqkQkχjkq 1/q

2−sj(2sj|fj(·)|) p

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