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1 Introduction 2
2 The fractional Sobolev space W s,p 5
3 The space Hs and the fractional Laplacian operator 11
4 Asymptotics of the constant C(n,s) 22
5 Extending a W s,p(Ω) function to the whole of Rn 33
6 Fractional Sobolev inequalities 39
7 Compact embeddings 49
8 H¨older regularity 54
9 Some counterexamples in non-Lipschitz domains 59
References 65
1. Introduction These pages are for students and young researchers of all ages who may like to hitchhike their way from 1 to s ∈ (0, 1). To wit, for anybody who, only endowed with some basic undergraduate analysis course (and knowing where his towel is), would like to pick up some quick, crash and essentially self-contained information on the fractional Sobolev spaces W s,p.
The reasons for such a hitchhiker to start this adventurous trip might be of different kind: (s)he could be driven by mathematical curiosity, or could be tempted by the many applications that fractional calculus seems to have recently experienced. In a sense, fractional Sobolev spaces have been a classical topic in functional and harmonic analysis all along, and some important books, such as [59, 90] treat the topic in detail. On the other hand, fractional spaces, and the corresponding nonlocal
2 equations, are now experiencing impressive applications in different sub- jects, such as, among others, the thin obstacle problem [87, 69], opti- mization [37], finance [26], phase transitions [2, 14, 88, 40, 45], stratified materials [83, 23, 24], anomalous diffusion [68, 98, 65], crystal disloca- tion [92, 47, 8], soft thin films [57], semipermeable membranes and flame propagation [15], conservation laws [9], ultra-relativistic limits of quan- tum mechanics [41], quasi-geostrophic flows [64, 27, 21], multiple scatter- ing [36, 25, 50], minimal surfaces [16, 20], materials science [4], water waves [81, 100, 99, 32, 29, 74, 33, 34, 31, 30, 42, 51, 75, 35], elliptic problems with measure data [71, 54], non-uniformly elliptic problems [39], gradient potential theory [72] and singular set of minima of variational functionals [70, 56]. Don’t panic, instead, see also [86, 87] for further motivation. For these reasons, we thought that it could be of some interest to write down these notes – or, more frankly, we wrote them just because if you really want to understand something, the best way is to try and explain it to someone else. Some words may be needed to clarify the style of these pages have been gathered. We made the effort of making a rigorous exposition, starting from scratch, trying to use the least amount of technology and with the simplest, low-profile language we could use – since capital letters were always the best way of dealing with things you didn’t have a good answer to. Differently from many other references, we make no use of Besov spaces4 or interpolation techniques, in order to make the arguments as elementary as possible and the exposition suitable for everybody, since when you are a student or whatever, and you can’t afford a car, or a plane fare, or even a train fare, all you can do is hope that someone will stop and pick you up, and it’s nice to think that one could, even here and now, be whisked away just by hitchhiking. Of course, by dropping fine technologies and powerful tools, we will miss several very important features, and we apologize for this. So, we highly
4About this, we would like to quote [53], according to which “The paradox of Besov spaces is that the very thing that makes them so successful also makes them very difficult to present and to learn”.
3 recommend all the excellent, classical books on the topic, such as [59, 90, 1, 93, 94, 101, 80, 91, 67, 60], and the many references given therein. Without them, our reader would remain just a hitchhiker, losing the opportunity of performing the next crucial step towards a full mastering of the subject and becoming the captain of a spaceship. In fact, compared to other Guides, this one is not definitive, and it is a very evenly edited book and contains many passages that simply seemed to its editors a good idea at the time. In any case, of course, we know that we cannot solve any major problems just with potatoes – it’s fun to try and see how far one can get though. In this sense, while most of the results we present here are probably well known to the experts, we believe that the exposition is somewhat original. These are the topics we cover. In Section 2, we define the fractional Sobolev spaces W s,p via the Gagliardo approach and we investigate some of their basic properties. In Section 3 we focus on the Hilbert case p = 2, dealing with its relation with the fractional Laplacian, and letting the principal value integral definition interplay with the definition in the Fourier space. Then, in Section 4 we analyze the asymptotic behavior of the constant factor that appears in the definition of the fractional Laplacian. Section 5 is devoted to the extension problem of a function in W s,p(Ω) to W s,p(Rn): technically, this is slightly more complicated than the classi- cal analogue for integer Sobolev spaces, since the extension interacts with the values taken by the function in Ω via the Gagliardo norm and the computations have to take care of it. Sobolev inequalities and continuous embeddings are dealt with in Sec- tion 6, while Section 7 is devoted to compact embeddings. Then, in Sec- tion 8, we point out that functions in W s,p are continuous when sp is large enough. In Section 9, we present some counterexamples in non-Lipschitz do- mains. After that, we hope that our hitchhiker reader has enjoyed his trip from the integer Sobolev spaces to the fractional ones, with the advantages of being able to get more quickly from one place to another - particularly when the place you arrived at had probably become, as a result of this, very similar to the place you had left. The above sentences written in old-fashioned fonts are Douglas
4 Adams’s of course, and we took the latitude of adapting their meanings to our purposes. The rest of these pages are written in a more conventional, may be boring, but hopefully rigorous, style.
2. The fractional Sobolev space W s,p This section is devoted to the definition of the fractional Sobolev spaces. No prerequisite is needed. We just recall the definition of the Fourier transform of a distribution. First, consider the Schwartz space S of rapidly decaying C∞ functions in Rn. The topology of this space is generated by the seminorms
N α pN (ϕ) = sup (1 + |x|) |D ϕ(x)| , N =0, 1, 2, ... , x∈Rn |αX|≤N where ϕ ∈ S (Rn). Let S ′(Rn) be the set of all tempered distributions, that is the topological dual of S (Rn). As usual, for any ϕ ∈ S (Rn), we denote by F 1 −iξ·x ϕ(ξ) = n/2 e ϕ(x) dx (2π) Rn Z the Fourier transform of ϕ and we recall that one can extend F from S (Rn) to S ′(Rn). Let Ω be a general, possibly non smooth, open set in Rn. For any real s > 0 and for any p ∈ [1, ∞), we want to define the fractional Sobolev spaces W s,p(Ω). In the literature, fractional Sobolev-type spaces are also called Aronszajn, Gagliardo or Slobodeckij spaces, by the name of the ones who introduced them, almost simultaneously (see [3, 44, 89]). We start by fixing the fractional exponent s in (0, 1). For any p ∈ [1, +∞), we define W s,p(Ω) as follows
s,p p |u(x) − u(y)| p W (Ω) := u ∈ L (Ω) : n +s ∈ L (Ω × Ω) ; (2.1) ( |x − y| p ) i.e, an intermediary Banach space between Lp(Ω) and W 1,p(Ω), endowed with the natural norm
1 p p p |u(x) − u(y)| kuk s,p := |u| dx + dxdy , (2.2) W (Ω) |x − y|n+sp ZΩ ZΩ ZΩ 5 where the term 1 |u(x) − u(y)|p p [u] s,p := dxdy W (Ω) |x − y|n+sp ZΩ ZΩ is the so-called Gagliardo (semi )norm of u. It is worth noticing that, as in the classical case with s being an integer, the space W s′,p is continuously embedded in W s,p when s ≤ s′, as next result points out. Proposition 2.1. Let p ∈ [1, +∞) and 0 < s ≤ s′ < 1. Let Ω be an open set in Rn and u : Ω → R be a measurable function. Then
kukW s,p(Ω) ≤ CkukW s′,p(Ω) for some suitable positive constant C = C(n,s,p) ≥ 1. In particular,
′ W s ,p(Ω) ⊆ W s,p(Ω) . Proof. First, |u(x)|p 1 dxdy ≤ dz |u(x)|p dx |x − y|n+sp |z|n+sp ZΩ ZΩ ∩ {|x−y|≥1} ZΩ Z|z|≥1 p ≤ C(n,s,p)kukLp(Ω) , where we used the fact that the kernel 1/|z|n+sp is integrable since n+sp > n. Taking into account the above estimate, it follows |u(x) − u(y)|p dxdy |x − y|n+sp ZΩ ZΩ ∩ {|x−y|≥1} |u(x)|p + |u(y)|p ≤ 2p−1 dxdy |x − y|n+sp ZΩ ZΩ ∩{|x−y|≥1} p p ≤ 2 C(n,s,p)kukLp(Ω) . (2.3) On the other hand, |u(x) − u(y)|p |u(x) − u(y)|p dxdy ≤ dx dy . |x − y|n+sp |x − y|n+s′p ZΩ ZΩ ∩ {|x−y|<1} ZΩ ZΩ ∩ {|x−y|<1} (2.4)
6 Thus, combining (2.3) with (2.4), we get
|u(x) − u(y)|p dxdy |x − y|n+sp ZΩ ZΩ |u(x) − u(y)|p ≤ 2pC(n,s,p)kukp + dxdy Lp(Ω) |x − y|n+s′p ZΩ ZΩ and so
p p p p |u(x) − u(y)| kuk s,p ≤ 2 C(n,s,p)+1 kuk p + dxdy W (Ω) L (Ω) |x − y|n+s′p ZΩ ZΩ p ≤ C(n,s,p)kuk ′ , W s ,p(Ω) which gives the desired estimate, up to relabeling the constant C(n,p,s).
We will show in the forthcoming Proposition 2.2 that the result in Proposition 2.1 holds also in the limit case, namely when s′ = 1, but for this we have to take into account the regularity of ∂Ω (see Example 9.1). As usual, for any k ∈ N and α ∈ (0, 1], we say that Ω is of class Ck,α if there exists M > 0 such that for any x ∈ ∂Ω there exists a ball B = Br(x), r> 0, and an isomorphism T : Q → B such that
k,α −1 k,α T ∈ C (Q), T ∈ C (B), T (Q+)= B ∩ Ω, T (Q0)= B ∩ ∂Ω
−1 and kT kCk,α(Q) + kT kCk,α(B) ≤ M, where
′ n−1 ′ Q := x =(x , xn) ∈ R × R : |x | < 1 and |xn| < 1 ,
′ n−1 ′ Q+ := x =(x , xn) ∈ R × R : |x | < 1 and 0 < xn < 1
and Q0 := {x ∈ Q : xn =0} .
We have the following result.
7 Proposition 2.2. Let p ∈ [1, +∞) and s ∈ (0, 1). Let Ω be an open set in Rn of class C0,1 with bounded boundary and u : Ω → R be a measurable function. Then kukW s,p(Ω) ≤ CkukW 1,p(Ω) (2.5) for some suitable positive constant C = C(n,s,p) ≥ 1. In particular, W 1,p(Ω) ⊆ W s,p(Ω) . Proof. Let u ∈ W 1,p(Ω). Thanks to the regularity assumptions on the domain Ω, we can extend u to a functionu ˜ : Rn → R such thatu ˜ ∈ 1,p n W (R ) and ku˜kW 1,p(Rn) ≤ CkukW 1,p(Ω) for a suitable constant C (see, e.g., [49, Theorem 7.25]). Now, using the change of variable z = y − x and the H¨older inequality, we have |u(x) − u(y)|p dxdy |x − y|n+sp ZΩ ZΩ ∩ {|x−y|<1} |u(x) − u(z + x)|p ≤ dz dx |z|n+sp ZΩ ZB1 |u(x) − u(z + x)|p 1 = dz dx |z|p |z|n+(s−1)p ZΩ ZB1 p 1 |∇u(x + tz)| ≤ n +s−1 dt dz dx Ω B 0 |z| p Z Z 1 Z ! 1 |∇u˜(x + tz)|p ≤ n+p(s−1) dtdz dx Rn |z| Z ZB1 Z0 1 p k∇u˜k p Rn ≤ L ( ) dtdz |z|n+p(s−1) ZB1 Z0 p ≤ C1(n,s,p)k∇u˜kLp(Rn)
p ≤ C2(n,s,p)kukW 1,p(Ω) . (2.6)
Also, by (2.3), |u(x) − u(y)|p dxdy ≤ C(n,s,p)kukp . (2.7) |x − y|n+sp Lp(Ω) ZΩ ZΩ ∩ {|x−y|≥1} 8 Therefore, from (2.6) and (2.7) we get estimate (2.5).
We remark that the Lipschitz assumption in Proposition 2.2 cannot be completely dropped (see Example 9.1 in Section 9); we also refer to the forthcoming Section 5, in which we discuss the extension problem in W s,p. Let us come back to the definition of the space W s,p(Ω). Before going ahead, it is worth explaining why the definition in (2.1) cannot be plainly extended to the case s ≥ 1. Suppose that Ω is a connected open set in Rn, then any measurable function u : Ω → R such that |u(x) − u(u)|p dxdy < +∞ |x − y|n+sp ZΩ ZΩ is actually constant (see [10, Proposition 2]). This fact is a matter of scaling and it is strictly related to the following result that holds for any u in W 1,p(Ω): p |u(x) − u(y)| p lim (1 − s) dxdy = C1 |∇u| dx (2.8) s→1− |x − y|n+sp ZΩ ZΩ ZΩ for a suitable positive constant C1 depending only on n and p (see [11]). In the same spirit, in [66], Maz’ja and Shaposhnikova proved that, for s,p Rn a function u ∈ 0 1 and it is not an integer we write s = m + σ, where m is an integer and σ ∈ (0, 1). In this case the space W s,p(Ω) consists of those equivalence classes of functions u ∈ W m,p(Ω) whose distributional derivatives Dαu, with |α| = m, belong to W σ,p(Ω), namely W s,p(Ω) := u ∈ W m,p(Ω) : Dαu ∈ W σ,p(Ω) for any α s.t. |α| = m n (2.10)o
5For the sake of simplicity, in the definition of the fractional Sobolev spaces and those of the corresponding norms in (2.1) and (2.2) we avoided any normalization constant. In view of (2.8) and (2.9), it is worthing notice that, in order to recover the classical W 1,p and Lp spaces, one may consider to add a factor C(n,p,s) ≈ s(1 − s) in front of the double integral in (2.2).
9 and this is a Banach space with respect to the norm
1 p p α p kuk s,p := kuk + kD uk . (2.11) W (Ω) W m,p(Ω) W σ,p(Ω) |αX|=m Clearly, if s = m is an integer, the space W s,p(Ω) coincides with the Sobolev space W m,p(Ω).
Corollary 2.3. Let p ∈ [1, +∞) and s,s′ > 1. Let Ω be an open set in Rn of class C0,1. Then, if s′ ≥ s, we have
′ W s ,p(Ω) ⊆ W s,p(Ω).
Proof. We write s = k + σ and s′ = k′ + σ′, with k,k′ integers and σ, σ′ ∈ (0, 1). In the case k′ = k, we can use Proposition 2.1 in order to conclude that W s′,p(Ω) is continuously embedded in W s,p(Ω). On the other hand, if k′ ≥ k + 1, using Proposition 2.1 and Proposition 2.2 we have the following chain ′ ′ ′ W k +σ ,p(Ω) ⊆ W k ,p(Ω) ⊆ W k+1,p(Ω) ⊆ W k+σ,p(Ω) . The proof is complete.
As in the classic case with s being an integer, any function in the fractional Sobolev space W s,p(Rn) can be approximated by a sequence of smooth functions with compact support.
∞ Rn Theorem 2.4. For any s> 0, the space C0 ( ) of smooth functions with compact support is dense in W s,p(Rn).
A proof can be found in [1, Theorem 7.38]. s,p ∞ Let W0 (Ω) denote the closure of C0 (Ω) in the norm k·kW s,p(Ω) defined in (2.11). Note that, in view of Theorem 2.4, we have
s,p Rn s,p Rn W0 ( )= W ( ) , (2.12)
Rn s,p s,p ∞ but in general, for Ω ⊂ , W (Ω) =6 W0 (Ω), i.e. C0 (Ω) is not dense in W s,p(Ω). Furthermore, it is clear that the same inclusions stated in Propo- s,p sition 2.1, Proposition 2.2 and Corollary 2.3 hold for the spaces W0 (Ω).
10 Remark 2.5. For s< 0 and p ∈ (1, ∞), we can define W s,p(Ω) as the dual −s,q space of W0 (Ω) where 1/p +1/q = 1. Notice that, in this case, the space W s,p(Ω) is actually a space of distributions on Ω, since it is the dual of a ∞ space having C0 (Ω) as density subset. Finally, it is worth noticing that the fractional Sobolev spaces play an important role in the trace theory. Precisely, for any p ∈ (1, +∞), assume that the open set Ω ⊆ Rn is sufficiently smooth, then the space of traces Tu 1,p on ∂Ω of u in W (Ω) is characterized by kTuk 1− 1 ,p < +∞ (see [43]). W p (∂Ω) 1− 1 ,p Moreover, the trace operator T is surjective from W 1,p(Ω) onto W p (∂Ω). In the quadratic case p = 2, the situation simplifies considerably, as we will see in the next section and a proof of the above trace embedding can be find in the forthcoming Proposition 3.8.
3. The space Hs and the fractional Laplacian operator In this section, we focus on the case p = 2. This is quite an important s,2 Rn s,2 Rn case since the fractional Sobolev spaces W ( ) and W0 ( ) turn out s Rn s Rn to be Hilbert spaces. They are usually denoted by H ( ) and H0 ( ), respectively. Moreover, they are strictly related to the fractional Laplacian operator (−∆)s (see Proposition 3.6), where, for any u ∈ S and s ∈ (0, 1), (−∆)s is defined as
s u(x) − u(y) (−∆) u(x) = C(n, s) P.V. n+2s dy (3.1) Rn |x − y| Z u(x) − u(y) = C(n, s) lim n+2s dy. ε→0+ C |x − y| Z Bε(x) Here P.V. is a commonly used abbreviation for “in the principal value sense” (as defined by the latter equation) and C(n, s) is a dimensional constant that depends on n and s, precisely given by
−1 1 − cos(ζ1) C(n, s)= n+2s dζ . (3.2) Rn |ζ| Z The choice of this constant is motived by Proposition 3.3.
11 Remark 3.1. Due to the singularity of the kernel, the right hand-side of (3.1) is not well defined in general. In the case s ∈ (0, 1/2) the integral in (3.1) is not really singular near x. Indeed, for any u ∈ S , we have |u(x) − u(y)| n+2s dy Rn |x − y| Z |x − y| 1 ∞ Rn ≤ C n+2s dy + kukL ( ) n+2s dy |x − y| C |x − y| ZBR Z BR 1 1 = C n+2s−1 dy + n+2s dy |x − y| C |x − y| ZBR Z BR R 1 +∞ 1 = C dρ + dρ < +∞ |ρ|2s |ρ|2s+1 Z0 ZR where C is a positive constant depending only on the dimension and on the L∞ norm of u. Now, we show that one may write the singular integral in (3.1) as a weighted second order differential quotient. Lemma 3.2. Let s ∈ (0, 1) and let (−∆)s be the fractional Laplacian operator defined by (3.1). Then, for any u ∈ S ,
s 1 u(x + y)+ u(x − y) − 2u(x) Rn (−∆) u(x)= − C(n, s) n+2s dy, ∀x ∈ . 2 Rn |y| Z (3.3) Proof. The equivalence of the definitions in (3.1) and (3.3) immediately follows by the standard changing variable formula. Indeed, by choosing z = y − x, we have
s u(y) − u(x) (−∆) u(x) = − C(n, s) P.V. n+2s dy Rn |x − y| Z u(x + z) − u(x) = − C(n, s) P.V. n+2s dz. (3.4) Rn |z| Z Moreover, by substitutingz ˜ = −z in last term of the above equality, we have u(x + z) − u(x) u(x − z˜) − u(x) P.V. n+2s dz = P.V. n+2s dz.˜ (3.5) Rn |z| Rn |z˜| Z Z 12 and so after relabelingz ˜ as z
u(x + z) − u(x) 2P.V. n+2s dz Rn |z| Z u(x + z) − u(x) u(x − z) − u(x) = P.V. n+2s dz + P.V. n+2s dz Rn |z| Rn |z| Z Z u(x + z)+ u(x − z) − 2u(x) = P.V. n+2s dz. (3.6) Rn |z| Z Therefore, if we rename z as y in (3.4) and (3.6), we can write the fractional Laplacian operator in (3.1) as
s 1 u(x + y)+ u(x − y) − 2u(x) (−∆) u(x) = − C(n, s) P.V. n+2s dy. 2 Rn |y| Z The above representation is useful to remove the singularity of the integral at the origin. Indeed, for any smooth function u, a second order Taylor expansion yields
2 u(x + y)+ u(x − y) − 2u(x) kD uk ∞ ≤ L , |y|n+2s |y|n+2s−2 which is integrable near 0 (for any fixed s ∈ (0, 1)). Therefore, since u ∈ S , one can get rid of the P.V. and write (3.3).
3.1. An approach via the Fourier transform Now, we take into account an alternative definition of the space Hs(Rn)= W s,2(Rn) via the Fourier transform. Precisely, we may define
Hˆ s(Rn)= u ∈ L2(Rn): (1 + |ξ|2s)|F u(ξ)|2 dξ < +∞ (3.7) Rn Z and we observe that the above definition, unlike the ones via the Gagliardo norm in (2.2), is valid also for any real s ≥ 1. We may also use an analogous definition for the case s< 0 by setting
Hˆ s(Rn)= u ∈ S ′(Rn): (1 + |ξ|2)s|F u(ξ)|2 dξ < +∞ , Rn Z 13 although in this case the space Hˆ s(Rn) is not a subset of L2(Rn) and, in order to use the Fourier transform, one has to start from an element of S ′(Rn), (see also Remark 2.5). The equivalence of the space Hˆ s(Rn) defined in (3.7) with the one defined in the previous section via the Gagliardo norm (see (2.1)) is stated and proven in the forthcoming Proposition 3.4. First, we will prove that the fractional Laplacian (−∆)s can be viewed as a pseudo-differential operator of symbol |ξ|2s. The proof is standard and it can be found in many papers (see, for instance, [91, Chapter 16]). We will follow the one in [97] (see Section 3), in which is shown how singular integrals naturally arise as a continuous limit of discrete long jump random walks. Proposition 3.3. Let s ∈ (0, 1) and let (−∆)s : S → L2(Rn) be the fractional Laplacian operator defined by (3.1). Then, for any u ∈ S , (−∆)su = F −1(|ξ|2s(F u)) ∀ξ ∈ Rn. (3.8) Proof. In view of Lemma 3.2, we may use the definition via the weighted second order differential quotient in (3.3). We denote by L u the integral in (3.3), that is
L 1 u(x + y)+ u(x − y) − 2u(x) u(x)= − C(n, s) n+2s dy, 2 Rn |y| Z with C(n, s) as in (3.2). L is a linear operator and we are looking for its “symbol” (or “multiplier”), that is a function S : Rn → R such that L u = F −1(S(F u)). (3.9) We want to prove that S(ξ) = |ξ|2s, (3.10) where we denoted by ξ the frequency variable. To this scope, we point out that |u(x + y)+ u(x − y) − 2u(x)| |y|n+2s 2−n−2s 2 −n−2s n ≤ 4 χB1 (y)|y| sup |D u| + χR \B1 (y)|y| sup |u| Rn B1(x) 2−n−2s n+1 −1 −n−2s 1 2n n R ≤ C χB1 (y)|y| (1 + |x| ) + χR \B1 (y)|y| ∈ L ( ). 14 Consequently, by the Fubini-Tonelli’s Theorem, we can exchange the in- tegral in y with the Fourier transform in x. Thus, we apply the Fourier transform in the variable x in (3.9) and we obtain
S(ξ)(F u)(ξ) = F (L u) 1 F (u(x + y)+ u(x − y) − 2u(x)) = − C(n, s) n+2s dy 2 Rn |y| Z iξ·y −iξ·y 1 e + e − 2 F = − C(n, s) n+2s dy( u)(ξ) 2 Rn |y| Z 1 − cos(ξ · y) F = C(n, s) n+2s dy( u)(ξ). (3.11) Rn |y| Z Hence, in order to obtain (3.10), it suffices to show that
1 − cos(ξ · y) −1 2s n+2s dy = C(n, s) |ξ| . (3.12) Rn |y| Z n To check this, first we observe that, if ζ =(ζ1, ..., ζn) ∈ R , we have
1 − cos ζ |ζ |2 1 1 ≤ 1 ≤ |ζ|n+2s |ζ|n+2s |ζ|n−2+2s near ζ = 0. Thus,
1 − cos ζ1 n+2s dζ is finite and positive. (3.13) Rn |ζ| Z Now, we consider the function I : Rn → R defined as follows
1 − cos(ξ · y) I(ξ)= n+2s dy. Rn |y| Z We have that I is rotationally invariant, that is
I(ξ)= I(|ξ|e1), (3.14)
n where e1 denotes the first direction vector in R . Indeed, when n = 1, then we can deduce (3.14) by the fact that I(−ξ) = I(ξ). When n ≥ 2,
15 T we consider a rotation R for which R(|ξ|e1) = ξ and we denote by R its transpose. Then, by substitutingy ˜ = RT y, we obtain
1 − cos (R(|ξ|e1)) · y I(ξ) = n+2s dy Rn |y| Z T 1 − cos (|ξ|e1) · (R y) = n+2s dy Rn |y| Z 1 − cos (|ξ|e1) · y˜ = n+2s dy˜ = I(|ξ|e1), Rn |y˜| Z which proves (3.14). As a consequence of (3.13) and (3.14), the substitution ζ = |ξ|y gives that
I(ξ) = I(|ξ|e1)
1 − cos(|ξ|y1) = n+2s dy Rn |y| Z 1 1 − cos ζ1 −1 2s = n n+2s dζ = C(n, s) |ξ| . |ξ| Rn Z ζ/|ξ|
− 1 1 − cos(ζ1) where we recall that C(n, s) is equal to n+2s dζ by (3.2). Rn |ζ| Hence, we deduce (3.12) and then the proof isZ complete.
Proposition 3.4. Let s ∈ (0, 1). Then the fractional Sobolev space Hs(Rn) defined in Section 2 coincides with Hˆ s(Rn) defined in (3.7). In particular, for any u ∈ Hs(Rn)
2 −1 2s F 2 [u]Hs(Rn) = 2C(n, s) |ξ| | u(ξ)| dξ. Rn Z where C(n, s) is defined by (3.2).
Proof. For every fixed y ∈ Rn, by changing of variable choosing z = x − y,
16 we get |u(x) − u(y)|2 |u(z + y) − u(y)|2 n+2s dx dy = n+2s dz dy Rn Rn |x − y| Rn Rn |z| Z Z Z Z u(z + y) − u(y) 2 = n/2+s dy dz Rn Rn |z| Z Z !
u(z + ·) − u(·) 2
= n/2+s dz Rn |z| 2 n Z L (R ) 2 u(z + ·) − u(·) F = n/2+s dz, Rn |z| 2 n Z L (R )
where Plancherel Formula has been used. Now, using (3.12) we obtain
2 F u(z + ·) − u(·) n/2+s dz Rn |z| 2 n Z L (R )
iξ·z 2 |e − 1| F 2 = n+2s | u(ξ)| dξ dz Rn Rn |z| Z Z (1 − cos ξ · z) F 2 = 2 n+2s | u(ξ)| dz dξ Rn Rn |z| Z Z = 2C(n, s)−1 |ξ|2s |F u(ξ)|2 dξ. Rn Z This completes the proof.
Remark 3.5. The equivalence of the spaces Hs and Hˆ s stated in Proposi- tion 3.4 relies on Plancherel Formula. As well known, unless p = q = 2, one cannot go forward and backward between an Lp and an Lq via Fourier transform (see, for instance, the sharp inequality in [5] for the case 1 < p< 2 and q equal to the conjugate exponent p/(p − 1) ). That is why the general fractional space defined via Fourier transform for 1
0, say Hs,p(Rn), does not coincide with the fractional Sobolev spaces W s,p(Rn) and will be not discussed here (see, e.g., [101]). Finally, we are able to prove the relation between the fractional Lapla- cian operator (−∆)s and the fractional Sobolev space Hs.
17 Proposition 3.6. Let s ∈ (0, 1) and let u ∈ Hs(Rn). Then,
s 2 −1 2 2 [u]Hs(Rn) = 2C(n, s) k(−∆) ukL2(Rn). (3.15) where C(n, s) is defined by (3.2). Proof. The equality in (3.15) plainly follows from Proposition 3.3 and Proposition 3.4. Indeed,
s s 2 2 F 2 2 sF 2 k(−∆) ukL2(Rn) = k (−∆) ukL2(Rn) = k|ξ| ukL2(Rn)
1 2 = C(n, s)[u] s Rn . 2 H ( )
Remark 3.7. In the same way as the fractional Laplacian (−∆)s is related to the space W s,2 as its Euler-Lagrange equation or from the formula 2 s kuk s,2 = u(−∆) u dx , a more general integral operator can be defined W that is related to the space W s,p for any p (see the recent paper [52]). R Armed with the definition of Hs(Rn) via the Fourier transform, we can easily analyze the traces of the Sobolev functions (see the forthcom- ing Proposition 3.8). We will follow Sections 13, 15 and 16 in [91]. Let Ω ⊆ Rn be an open set with continuous boundary ∂Ω. Denote by T the trace operator, namely the linear operator defined by the uniformly continuous extension of the operator of restriction to ∂Ω for functions ∞ Rn 6 in D(Ω), that is the space of functions C0 ( ) restricted to Ω. ′ n n Now, for any x = (x , xn) ∈ R and for any u ∈ S (R ), we denote by n−1 v ∈ S (R ) the restriction of u on the hyperplane xn = 0, that is
v(x′)= u(x′, 0) ∀x′ ∈ Rn−1. (3.16)
Then, we have
′ ′ ′ n−1 F v(ξ ) = F u(ξ ,ξn) dξn ∀ξ ∈ R , (3.17) R Z
6 Notice that we cannot simply take T as the restriction operator to the boundary, since the restriction to a set of measure 0 (like the set ∂Ω) is not defined for functions which are not smooth enough.
18 where, for the sake of simplicity, we keep the same symbol F for both the Fourier transform in n − 1 and in n variables. To check (3.17), we write
F ′ 1 −iξ′·x′ ′ ′ v(ξ ) = n−1 e v(x ) dx 2 Rn−1 (2π) Z 1 −iξ′·x′ ′ ′ = n−1 e u(x , 0) dx . (3.18) 2 Rn−1 (2π) Z
On the other hand, we have
′ F u(ξ ,ξn) dξn R Z
′ ′ 1 −i (ξ ,ξn)·(x ,xn) ′ ′ = n e u(x , xn) dx dxn dξn R (2π) 2 Rn Z Z
′ ′ 1 −iξ ·x 1 −iξn·xn ′ ′ = n−1 e 1 e u(x , xn) dxndξn dx 2 Rn−1 π 2 R R (2π) Z "(2 ) Z Z #
1 −iξ′·x′ ′ ′ = n−1 e u(x , 0) dx , 2 Rn−1 (2π) Z where the last equality follows by transforming and anti-transforming u in the last variable, and this coincides with (3.18). Now, we are in position to characterize the traces of the function in Hs(Rn), as stated in the following proposition.
Proposition 3.8. ([91, Lemma 16.1]). Let s > 1/2, then any function s n u ∈ H (R ) has a trace v on the hyperplane xn = 0 , such that v ∈ s− 1 n−1 s n H 2 R T H R ( ). Also, the trace operator is surjective from ( ) onto s− 1 n−1 H 2 (R ).
Proof. In order to prove the first claim, it suffices to show that there exists an universal constant C such that, for any u ∈ S (Rn) and any v defined as in (3.16),
kvk s− 1 ≤ CkukHs(Rn). (3.19) H 2 (Rn−1)
19 By taking into account (3.17), the Cauchy-Schwarz inequality yields
F ′ 2 2 s F ′ 2 dξn | v(ξ )| ≤ (1 + |ξ| ) | u(ξ ,ξn)| dξn 2 s . (3.20) R R (1 + |ξ| ) Z Z ′ 2 Using the changing of variable formula by setting ξn = t 1+ |ξ | , we have
p 1 ′ 2 1/2 ′ 2 −s dξn 1+ |ξ | 1+ |ξ | 2 s = s dt = 2 s dt R (1 + |ξ| ) R (1 + |ξ′|2)(1 + t2) R (1 + t ) Z Z Z 1 −s = C(s ) 1+ |ξ′|2 2 , (3.21)
dt where C(s) := 2 s < +∞ since s> 1/2. R (1 + t ) Z Combining (3.20) with (3.21) and integrating in ξ′ ∈ Rn−1, we obtain
s− 1 1+ |ξ′|2 2 |F v(ξ′)|2 dξ′ Rn−1 Z 2 s ′ 2 ′ ≤ C(s) 1+ |ξ| |F u(ξ ,ξn)| dξn dξ , Rn−1 R Z Z that is (3.19). Now, we will prove the surjectivity of the trace operator T . For this, s− 1 n−1 we show that for any v ∈ H 2 (R ) the function u defined by
′ ′ ξn 1 F u(ξ ,ξn) = F v(ξ ) ϕ , (3.22) 1+ |ξ′|2 ! 1+ |ξ′|2 p p ∞ R s Rn with ϕ ∈ C0 ( ) and ϕ(t) dt = 1, is such that u ∈ H ( ) and Tu = v. R Z Indeed, we integrate (3.22) with respect to ξn ∈ R, we substitute ξn = t 1+ |ξ′|2 and we obtain p ′ ′ ξn 1 F u(ξ ,ξn) dξn = F v(ξ ) ϕ dξn R R 1+ |ξ′|2 1+ |ξ′|2 Z Z ! p p = F v(ξ′) ϕ(t) dt = F v(ξ′) (3.23) R Z 20 and this implies v = Tu because of (3.17). The proof of the Hs-boundedness of u is straightforward. In fact, from (3.22), for any ξ′ ∈ Rn−1, we have
2 s ′ 2 1+ |ξ| |F u(ξ ,ξn)| dξn R Z 2 2 s F ′ 2 ξn 1 = 1+ |ξ| | v(ξ )| ϕ ′ 2 dξn R 1+ |ξ′|2 1+ |ξ | Z ! 1 ′ 2 s− 2 F ′ 2 p = C 1+ |ξ | ) | v(ξ )| , (3.24)