ON THE FRACTIONAL LANE-EMDEN EQUATION JUAN DÁVILA, LOUIS DUPAIGNE, AND JUNCHENG WEI Abstract. We classify solutions of finite Morse index of the fractional LaneEmden equation (−∆)s u = |u|p−1 u in Rn . 1. Introduction Fix an integer n ≥ 1 and let pS (n) denote the classical Sobolev exponent: +∞ if n ≤ 2 pS (n) = n + 2 if n ≥ 3 n−2 A celebrated result of Gidas and Spruck [2020, 20] asserts that there is no positive solution to the Lane-Emden equation (1.1) − ∆u = |u|p−1 u in Rn , whenever p ∈ (1, pS (n)). For p = pS (n), the same equation is known to have (up to translation and rescaling) a unique positive solution, which is radial and explicit (see Caffarelli-Gidas-Spruck [44, 4]). Let now pc (n) > pS (n) denote the Joseph-Lundgren exponent: +∞ if n ≤ 10 √ pc (n) = (n − 2)2 − 4n + 8 n − 1 if n ≥ 11 (n − 2)(n − 10) This exponent can be characterized as follows: for p ≥ pS (n), the explicit singular 2 solution us (x) = A|x|− p−1 is unstable if and only if p < pc (n). It was proved by Farina [1818, 18] that (1.1) has no nontrivial finite Morse index solution whenever 1 < p < pc (n), p 6= pS (n). Through blow-up analysis, such Liouville-type theorems imply interior regularity for solutions of a large class of semilinear elliptic equations: they are known to be equivalent to universal estimates for solutions of (1.2) − Lu = f (x, u, ∇u) in Ω, where L is a uniformly elliptic operator with smooth coefficients, the nonlinearity f scales like |u|p−1 u for large values of u, and Ω is an open set of Rn . For precise statements, see the work of Polacik, Quittner and Souplet [2626, 26] in the subcritical setting, as well as its adaptation to the supercritical case by Farina and two of the authors [1111, 11]. In the present work, we are interested in understanding whether similar results hold for equations involving a nonlocal diffusion operator, the simplest of which 1 2 J. DÁVILA, L. DUPAIGNE, AND J. WEI is perhaps the fractional laplacian. Given s ∈ (0, 1), the fractional version of the Lane-Emden equation1 reads (−∆)s u = |u|p−1 u in Rn . (1.3) Here we have assumed that u ∈ C 2σ (Rn ), σ > s and ˆ |u(y)| (1.4) dy < +∞, (1 + |y|)n+2s n R so that the fractional laplacian of u ˆ s (−∆) u(x) := An,s Rn u(x) − u(y) dy |x − y|n+2s is well-defined (in the principal-value sense) at every point x ∈ Rn . The normalizing 2s−1 Γ( n+2s ) 2 constant An,s = 2πn/2 |Γ(−s)| is of the order of s(1 − s) as s converges to either 0 or 1. The aforementioned classification results of Gidas-Spruck and Caffarelli-GidasSpruck have been generalized to the fractional setting (see Y. Li [2424, 24] and Chen-Li-Ou [88, 8]). The corresponding fractional Sobolev exponent is given by +∞ if n ≤ 2s pS (n) = n + 2s if n > 2s n − 2s Our main result is the following Liouville-type theorem for the fractional LaneEmden equation. Theorem 1.1. Assume that n ≥ 1 and 0 < s < σ < 1. Let u ∈ C 2σ (Rn ) ∩ L1 (Rn , (1 + |y|)n+2s dy) be a solution to (1.3) which is stable outside a compact set i.e. there exists R0 ≥ 0 such that for every ϕ ∈ Cc1 (Rn \ BR0 ), ˆ (1.5) p |u|p−1 ϕ2 dx ≤ kϕk2Ḣ s (Rn ) . Rn • If 1 < p < pS (n) or if pS (n) < p and (1.6) p Γ( n2 − s s p−1 )Γ(s + p−1 ) s s Γ( p−1 )Γ( n−2s − p−1 ) 2 > 2 Γ( n+2s 4 ) n−2s 2 , Γ( 4 ) then u ≡ 0; • If p = pS (n), then u has finite energy i.e. ˆ kuk2Ḣ s (Rn ) = |u|p+1 < +∞. Rn If in addition u is stable, then in fact u ≡ 0. Remark 1. For p > pS (n), the function (1.7) 2s us (x) = A|x|− p−1 1Unlike local diffusion operators, local elliptic regularity for equations of the form (1.2) where this time L is the generator of a general Markov diffusion, cannot be captured from the sole understanding of the fractional Lane-Emden ´equation. For example, further investigations will be needed for operators of Lévy symbol ψ(ξ) = S n−1 |ω · ξ|2s µ(dω), where µ is any finite symmetric measure on the sphere S n−1 . ON THE FRACTIONAL LANE-EMDEN EQUATION where µ Ap−1 = λ 2s n − 2s − 2 p−1 3 ¶ and where (1.8) λ(α) = 22s Γ( n+2s+2α )Γ( n+2s−2α ) 4 4 n−2s−2α n−2s+2α Γ( )Γ( ) 4 4 is a singular solution to (1.3) (see the work by Montenegro and two of the authors [1212, 12] for the case s = 1/2, and the work by Fall [1616; 16, Lemma 3.1] for the general case). In virtue of the following Hardy inequality (due to Herbst [2222, 22]) ˆ φ2 Λn,s dx ≤ kφk2Ḣ s (Rn ) 2s Rn |x| with optimal constant given by Λn,s = 22s 2 Γ( n+2s 4 ) n−2s 2 , Γ( 4 ) us is unstable if only if (1.6) holds. Let us also mention that regular radial solutions in the case s = 1/2 were constructed by Chipot, Chlebik ad Shafrir [99,9]. Recently, Harada [2121, 21] proved that for s = 1/2, condition (1.6) is the dividing line for the asymptotic behavior of radial solutions to (1.3), extending thereby the classical results of Joseph and Lundgren [2323, 23] to the fractional Lane-Emden equation in the case s = 1/2. A similar technique as in [99, 9] allows us to show that the condition (1.6) is optimal. Indeed we have: Theorem 1.2. Assume p > pS (n) and that (1.6) fails. Then there are radial smooth solutions u > 0 with u(r) → 0 as r → ∞ of (1.3) that are stable. It is by now standard knowledge that the fractional laplacian can be seen as a Dirichlet-to-Neumann operator for a degenerate but local diffusion operator in the higher-dimensional half-space Rn+1 + : Theorem 1.3 ([2828, 282525, 2555, 5]). Take s ∈ (0, 1), σ > s and u ∈ C 2σ (Rn ) ∩ L1 (Rn , (1 + |y|)n+2s dy). For X = (x, t) ∈ Rn+1 + , let ˆ ū(X) = P (X, y)u(y) dy, Rn where and pn,s P (X, y) = pn,s t2s |X − y|−(n+2s) ´ n+1 is chosen so that Rn P (X, y) dy = 1. Then, ū ∈ C 2 (Rn+1 + ) ∩ C(R+ ), t1−2s ∂t ū ∈ C(Rn+1 + ) and ∇ · (t1−2s ∇ū) = 0 ū = u 1−2s − lim t ∂t ū = κs (−∆)s u t→0 where (1.9) κs = Γ(1 − s) . 22s−1 Γ(s) in Rn+1 + , on ∂Rn+1 + , on ∂Rn+1 + , 4 J. DÁVILA, L. DUPAIGNE, AND J. WEI Applying Theorem 1.3 to a solution of the fractional Lane-Emden equation, we end up with the equation ( −∇ · (t1−2s ∇ū) = 0 in Rn+1 + (1.10) 1−2s p−1 − lim t ∂t ū = κs |ū| ū on ∂Rn+1 + t→0 An essential ingredient in the proof of Theorem 1.1 is the following monotonicity formula n+1 Theorem 1.4. Take a solution to (1.10) ū ∈ C 2 (Rn+1 + ) ∩ C(R+ ) such that n+1 t1−2s ∂t ū ∈ C(Rn+1 + ). For x0 ∈ ∂R+ , λ > 0, let E(ū, x0 ; λ) = à ˆ ! ˆ p+1 1 κs 2s p−1 −n 1−2s 2 p+1 λ t |∇ū| dx dt − |ū| dx 2 Rn+1 p + 1 ∂Rn+1 ∩B n+1 (x0 ,λ) ∩B n+1 (x0 ,λ) + + ˆ p+1 s + λ2s p−1 −n−1 t1−2s ū2 dσ. p + 1 ∂B n+1 (x0 ,λ)∩Rn+1 + Then, E is a nondecreasing function of λ. Furthermore, µ ¶2 ˆ p+1 dE ∂ ū 2s ū 2s p−1 −n+1 1−2s =λ t + dσ dλ ∂r p−1r ∂B n+1 (x0 ,λ)∩Rn+1 + Remark 2. In the above, B n+1 (x0 , λ) denotes the euclidean ball in Rn+1 centered at x0 of radius λ, σ the n-dimensional Hausdorff measure restricted to ∂B n+1 (x0 , λ), X r = |X| the euclidean norm of a point X = (x, t) ∈ Rn+1 + , and ∂r = ∇ · r the corresponding radial derivative. An analogous monotonicity formula has been derived by Fall and Felli [1717, 17] to obtain unique continuation results for fractional equations. Previously, Caffarelli and Silvestre derived an Almgren quotient formula for the fractional laplacian in [55, 5] and Caffarelli, Roquejoffre and Savin [66, 6] obtained a related monotonicity formula to study regularity of nonlocal minimal surfaces. Another monotonicity formula for fractional problems was obtained by Cabré and Sire [33, 3] and used by Frank, Lenzmann and Silvestre [1919, 19]. The proof of Theorem 1.1 follows an approach used in our earlier work with Kelei Wang [1313, 13] (see also [2929, 29]). First we derive suitable energy estimate (Section 2) and handle the critical and subcritical cases (Section 3). In Section 4 we give a proof of the monotonicity formula Theorem 1.4. Then we use the monotonicity formula and a blown-down analysis (Section 6) to reduce to homogeneous singular solutions. We exclude the existence of stable homogeneous singular solutions in the optimal range of p (Section 5). Finally we prove Theorem 1.2 in Section 7. 2. Energy estimates Lemma 2.1. Let u be a solution to (1.3). Assume that u is stable outside some n n ) and for x ∈ Rn , define ball BR ⊂ Rn . Let η ∈ Cc∞ (Rn \ BR 0 0 ˆ (η(x) − η(y))2 ρ(x) = dy (2.1) |x − y|n+2s Rn ON THE FRACTIONAL LANE-EMDEN EQUATION Then, ˆ 1 An,s |u|p+1 η 2 dx + kuηk2Ḣ s (Rn ) ≤ p p−1 Rn 5 ˆ u2 ρ dx. Rn Proof. Multiply (1.3) by uη 2 . Then, ˆ ˆ p+1 2 |u| η dx = (−∆)s u uη 2 dx n n R R ˆ ˆ (u(x) − u(y))(u(x)η(x)2 − u(y)η(y)2 ) An,s dx dy = 2 |x − y|n+2s Rn Rn ˆ ˆ An,s u2 (x)η 2 (x) − u(x)u(y)(η 2 (x) + η 2 (y)) + u2 (y)η 2 (y) = dx dy 2 |x − y|n+2s Rn Rn ˆ ˆ (u(x)η(x) − u(y)η(y))2 − (η(x) − η(y))2 u(x)u(y) An,s = dx dy 2 |x − y|n+2s Rn Rn ˆ ˆ (η(x) − η(y))2 u(x)u(y) An,s = kuηk2Ḣ s (Rn ) − dx dy 2 |x − y|n+2s Rn Rn Using the inequality 2ab ≤ a2 + b2 , we deduce that ˆ ˆ An,s |u|p+1 η 2 dx ≤ (2.2) kuηk2Ḣ s (Rn ) − u2 ρ dx 2 n n R R Since u is stable, we deduce that ˆ ˆ An,s (p − 1) |u|p+1 η 2 dx ≤ u2 ρ dx 2 Rn Rn Going back to (2.2), it follows that ˆ ˆ An,s 1 p+1 2 2 |u| η dx ≤ kuηkḢ s (Rn ) + u2 ρ dx p p − 1 Rn Rn ¤ Lemma 2.2. For m > n/2 and x ∈ Rn , let (2.3) η(x) = (1 + |x|2 )−m/2 and ˆ ρ(x) = Rn (η(x) − η(y))2 dy |x − y|n+2s Then, there exists a constant C = C(n, s, m) > 0 such that ¡ ¢− n −s ¡ ¢− n −s (2.4) C −1 1 + |x|2 2 ≤ ρ(x) ≤ C 1 + |x|2 2 . Proof. Let us prove the upper bound first. Since ρ is a continuous function, we may always assume that |x| ≥ 1. Split the integral ˆ (η(x) − η(y))2 dy |x − y|n+2s Rn in the regions |x − y| < |x|/2, |x|/2 ≤ |x − y| ≤ 2|x|, and |x − y| > 2|x|. When |x − y| ≤ |x|/2, m+1 |η(x) − η(y)| ≤ C(1 + |x|2 )− 2 |x − y|. So, ˆ ˆ (η(x) − η(y))2 2 −m−1 |x − y|2−n−2s dy dy ≤ C(1 + |x| ) n+2s |x − y| |x−y|≤|x|/2 |x−y|≤|x|/2 ¡ ¢− n −s 2 −m−s ≤ C(1 + |x| ) ≤ C 1 + |x|2 2 . 6 J. DÁVILA, L. DUPAIGNE, AND J. WEI When |x|/2 ≤ |x − y| ≤ 2|x|, ˆ ˆ (η(x) − η(y))2 −n−2s dy ≤ C|x| (η(x)2 + η(y)2 ) dy n+2s |x|/2≤|x−y|≤2|x| |x − y| |y|≤2|x| n ≤ C|x|−n−2s (|x|−2m+n + 1) ≤ C(1 + |x|2 )− 2 −s , where we used the assumption m > n2 . When |x − y| > 2|x|, then |y| ≥ |x| and η(y) ≤ C(1 + |x|2 )−m/2 . Then, ˆ ˆ (η(x) − η(y))2 1 2 −m dy ≤ C(1 + |x| dy ) n+2s n+2s |x−y|>2|x| |x − y| |x−y|>2|x| |x − y| n ≤ C(1 + |x|2 )−m−s ≤ C(1 + |x|2 )− 2 −s . Let us turn to the lower bound. Again, we may always assume that |x| ≥ 1. Then, µ ¶−(n+2s) ˆ ˆ (η(y) − η(x))2 |x| ρ(x) ≥ (η(y) − 2−m/2 )2 dy dy ≥ n+2s |x − y| 2 |y|≤1/2 |y|≤1/2 and the estimate follows. ¤ Corollary 2.3. Let m > n/2, η given by (2.3), R ≥ R0 ≥ 1, ψ ∈ C ∞ (Rn ) be such that 0 ≤ ψ ≤ 1, ψ ≡ 0 on B1n and ψ ≡ 1 on Rn \ B2n . Let ˆ ³x´ µ x ¶ (ηR (x) − ηR (y))2 (2.5) ψ and ρR (x) = dy ηR (x) = η R R0 |x − y|n+2s Rn There exists a constant C = C(n, s, m, R0 ) > 0 such that for all |x| ≥ 3R0 ³ x ´2 ³x´ ρR (x) ≤ Cη |x|−(n+2s) + R−2s ρ R R Proof. Fix x such that |x| ≥ 3R0 . Using the definition of ηR and Young’s inequality, we have ³ ³ ´ ³ ´´2 ¡y¢ 2 y x µ ¶2 ¡ x ¢ ˆ ˆ ³ ´ ψ − ψ (η R − η R ) R0 R0 1 x 2 y ρR (x) ≤ η dy + ψ dy n+2s n+2s 2 R |x − y| R0 |x − y| Rn Rn ¢ ¡ ¢ ¡ ˆ y x ³ x ´2 ˆ −η R )2 (η R 1 ≤η dy + dy n R |x − y|n+2s |x − y|n+2s B2R Rn 0 ³ x ´2 ³x´ ≤ Cη |x|−(n+2s) + R−2s ρ R R and the result follows. ¤ n Lemma 2.4. Let u be a solution of (1.3) which is stable outside a ball BR . Take 0 s(p+1) n n ρR as in Corollary 2.3 with m ∈ ( 2 , 2 + 2 ). Then, there exists a constant C = C(n, s, m, p, R0 ) > 0 such that for all R ≥ 3R0 , ! È ˆ p+1 n−2s p−1 2 2 . u ρR dx ≤ C u ρR dx + R Rn n B3R 0 Proof. By Corollary 2.3, if R ≥ |x| ≥ 3R0 , then ρR (x) ≤ C(|x|−n−2s + R−2s ) ON THE FRACTIONAL LANE-EMDEN EQUATION and so ˆ p+1 7 p+1 4 ρR (x) p−1 ηR (x)− p−1 dx ≤ CRn−2s p−1 . n \B n BR 3R0 Similarly, if |x| ≥ R ≥ 3R0 , then ρR (x) ≤ CR −2s µ ¶− n2 −s |x|2 1+ 2 R and so ρR (x) p+1 p−1 4 − p−1 ηR (x) ≤ CR p+1 −2s p−1 p+1 2m µ ¶− n+2s 2 p−1 + p−1 |x|2 1+ 2 R 2m n+2s p+1 n Since m ∈ ( n2 , n2 + s p+1 2 ), we have p−1 − 2 p−1 < − 2 and so ˆ p+1 p+1 4 ρR (x) p−1 ηR (x)− p−1 dx ≤ CRn−2s p−1 . n Rn \B3R Now, ˆ 0 ˆ ˆ 2 Rn u ρR dx = n B3R ˆ u ρR dx + 0 µˆ 2 ≤ n B3R u ρR dx + 0 n Rn \B3R Rn 2 |u|p+1 ηR 4 4 − 2 u2 ρR ηR p+1 ηRp+1 dx 0 2 ¶ p+1 µˆ dx p+1 p−1 Rn − 4 ηR p−1 ρR µˆ ˆ p+1 n B3R p−1 u2 ρR dx + CR(n−2s p−1 ) p+1 ≤ 0 Rn ¶ p−1 p+1 dx 2 ¶ p+1 2 |u|p+1 ηR dx By a standard approximation argument, Lemma 2.1 remains valid with η = ηR and ρ = ρR and so the result follows. ¤ n+2s Lemma 2.5. Assume that p 6= n−2s . Let u be a solution to (1.3) which is stable n outside a ball BR and ū its extension, solving (1.10). Then, there exists a constant 0 C = C(n, p, s, R0 , u) > 0 such that ˆ 4s t1−2s ū2 dxdt ≤ CRn+2(1−s)− p−1 n+1 BR for any R > 3R0 . Proof. According to Theorem 1.3, ˆ ū(x, t) = pn,s u(z) Rn so that t2s (|x − z|2 + t2 ) ˆ ū(x, t)2 ≤ pn,s So, ˆ u(z)2 Rn t2s (|x − z|2 + t2 ) È ˆ 1−2s 2 n+1 BR t ˆ |x|≤R,z∈Rn 2 R n+2s 2 dz dz. t ! dzdx n+2s dt (|x − z|2 + t2 ) 2 n¡ ¢− n +1−s o ¢− n +1−s ¡ u2 (z) |x − z|2 2 − |x − z|2 + R2 2 dzdx ū dxdt ≤ pn,s ≤C n+2s 2 u(z) |x|≤R,z∈Rn 0 8 J. DÁVILA, L. DUPAIGNE, AND J. WEI Split this last integral according to |x − z| < 2R or |x − z| ≥ 2R. Then, ˆ n¡ ¢− n +1−s ¡ ¢− n +1−s o − |x − z|2 + R2 2 dzdx ≤ u2 (z) |x − z|2 2 |x|≤R,|x−z|<2R ˆ ˆ ¡ ¢− n +1−s u2 (z) |x − z|2 2 dzdx ≤ CR2(1−s) u2 (z) dz ≤ n+1 B3R |x|≤R,|x−z|<2R µˆ CR 2(1−s) 2 |u|p+1 ηR 2 ¶ p+1 È n+1 B3R µˆ p−1 CR2(1−s)+n p+1 − 4 ! p−1 p+1 ηR p−1 u2 (z)ρR (z) dz 2 ¶ p+1 ≤ 4s ≤ CRn+2(1−s)− p−1 , where we used Hölder’sin equality, then Lemma 2.1 and then Lemma 2.4. For the region |x − z| ≥ 2R, the mean-value inequality implies that ˆ n¡ ¢− n +1−s ¡ ¢− n +1−s o u2 (z) |x − z|2 2 − |x − z|2 + R2 2 dzdx ≤ |x|≤R,|x−z|≥2R ˆ ˆ CR2 u2 (z)|x − z|−(n+2s) dzdx ≤ CRn+2 u2 (z)|z|−(n+2s) dz |x|≤R,|x−z|≥2R |z|≥R ˆ 4s ≤ CR2 u2 ρ dz ≤ CRn+2(1−s)− p−1 , |z|≥R where we used again Corollary 2.3 in the penultimate inequality and Lemma 2.4 in the last one. ¤ n Lemma 2.6. Let u be a solution to (1.3) which is stable outside a ball BR and 0 ū its extension, solving (1.10). Then, there exists a constant C = C(n, p, s, u) > 0 such that ˆ ˆ p+1 1−2s 2 |u|p+1 dx ≤ CRn−2s p−1 t |∇ū| dx dt + n+1 ∩∂Rn+1 BR + n+1 n+1 ∩R+ BR Proof. The Lp+1 estimate follows from Lemmata 2.1 and 2.4. Now take a cut-off n+1 n+1 n+1 function η ∈ Cc1 (Rn+1 ∩ (BR \ B2R ) and η = 0 on + ) such that η = 1 on R+ 0 n+1 n+1 n+1 BR0 ∪ (R+ \ B2R ), and multiply equation (1.10) by ūη 2 . Then, ˆ ˆ © ª κs |ū|p+1 η 2 dx = t1−2s ∇ū · ∇(ūη 2 ) dx dt Rn+1 + ∂Rn+1 + (2.6) ˆ = Rn+1 + © ª t1−2s |∇(ūη)|2 − ū2 |∇η|2 dx dt. n+1 Since u is stable outside BR , so is ū and we deduce that 0 ˆ ˆ © ª 1 t1−2s |∇(ūη)|2 dx dt ≥ t1−2s |∇(ūη)|2 − ū2 |∇η|2 dx dt. p Rn+1 Rn+1 + + In other words, p0 (2.7) where 1 p0 + 1 p ˆ Rn+1 + ˆ t1−2s ū2 |∇η|2 dx dt ≥ Rn+1 + = 1. We then apply Lemma 2.5. t1−2s |∇(ūη)|2 dx dt, ¤ ON THE FRACTIONAL LANE-EMDEN EQUATION 9 3. The subcritical case In this section, we prove Theorem 1.1 for 1 < p ≤ pS (n). n Proof. Take a solution u which is stable outside some ball BR . Apply Lemma 0 s 2.4 and let R → +∞. Since p ≤ pS (n), we deduce that u ∈ Ḣ (Rn ) ∩ Lp+1 (Rn ). Multiplying the equation (1.3) by u and integrating, we deduce that ˆ |u|p+1 = kuk2Ḣ s (Rn ) , (3.1) Rn while multiplying by uλ given for λ > 0 and x ∈ Rn by uλ (x) = u(λx) yields ˆ ˆ ˆ (−∆)s/2 u(−∆)s/2 uλ = λs |u|p−1 uλ = Rn wwλ , Rn Rn s/2 where w = (−∆) √ u. Following Ros-Oton and Serra [2727, 27], we use the change of variable y = λ x to deduce that ˆ ˆ √ √ 2s−n s λ 2 λ ww dx = λ w λ w1/ λ dy Rn Rn Hence, − n p+1 ˆ ˆ ˆ |u|p+1 |u|p+1 = x·∇ = (|u|p−1 u)x · ∇u = p+1 Rn Rn Rn ¯ ¯ ˆ ˆ √ √ 2s−n d ¯¯ d ¯¯ λ 1/ λ p−1 λ 2 w w dy = |u| uu = λ dλ ¯λ=1 Rn dλ ¯λ=1 Rn ¯ ˆ ˆ √ √ d ¯¯ 2s − n 2s − n w2 + kuk2Ḣ s (Rn ) w λ w1/ λ dy = ¯ 2 dλ λ=1 Rn 2 Rn In the last equality, we have used the fact that w ∈ C 1 (Rn ), as follows by elliptic regularity. We have just proved the following Pohozaev identity ˆ n n − 2s |u|p+1 = kuk2Ḣ s (Rn ) p + 1 Rn 2 For p < pS (n), the above identity together with (3.1) force u ≡ 0. For p = pS (n), we are left with proving that there is no stable nontrivial solution. Since u ∈ Ḣ s (Rn ), we may apply the stability inequlatiy (1.5) with test function ϕ = u, so that ˆ p |u|p+1 ≤ kuk2Ḣ s (Rn ) . Rn This contradicts (3.1) unless u ≡ 0. ¤ In the following sections, we present several tools to study the supercritical case. 4. The monotonicity formula In this section, we prove Theorem 1.4. 10 J. DÁVILA, L. DUPAIGNE, AND J. WEI Proof. Since the equation is invariant under translation, it suffices to consider the case where the center of the considered ball is the origin x0 = 0. Let (4.1) E1 (ū; λ) = È λ p+1 2s p−1 −n n+1 Rn+1 ∩Bλ + t 2 1−2s |∇ū| 2 ˆ dx dt − n+1 ∂Rn+1 ∩Bλ + κs |ū|p+1 dx p+1 ! For X ∈ Rn+1 + , let also 2s U (X; λ) = λ p−1 ū(λX). (4.2) Then, U satisfies the three following properties: U solves (1.10), (4.3) E1 (ū; λ) = E1 (U ; 1), and, using subscripts to denote partial derivatives, (4.4) λUλ = 2s U + rUr . p−1 Differentiating the right-hand side of (4.3), we find ˆ ˆ dE1 1−2s |U |p−1 Uλ dx. t ∇U · ∇Uλ dx dt − κs (ū; λ) = n+1 n+1 n+1 dλ ∂R ∩B Rn+1 ∩B 1 1 + + Integrating by parts and then using (4.4), ˆ dE1 t1−2s Ur Uλ dσ (ū; λ) = dλ ∂B1n+1 ∩Rn+1 + ˆ ˆ 2s 1−2s 2 t Uλ dσ − =λ t1−2s U Uλ dσ n+1 n+1 n+1 n+1 p − 1 ∂B1 ∩R+ ∂B1 ∩R+ È ! ˆ s 1−2s 2 1−2s 2 t Uλ dσ − =λ t U dσ p−1 ∂B1n+1 ∩Rn+1 ∂B1n+1 ∩Rn+1 + + Scaling back, the theorem follows. λ ¤ 5. Homogeneous solutions Theorem 5.1. Let ū be a stable homogeneous solution of (1.10). Assume that n+2s p > n−2s and (5.1) p Γ( n2 − s s p−1 )Γ(s + p−1 ) s s Γ( p−1 )Γ( n−2s − p−1 ) 2 > 2 Γ( n+2s 4 ) . 2 Γ( n−2s 4 ) Then, ū ≡ 0. Proof. Take standard polar coordinates in Rn+1 + : X = (x, t) = rθ, where r = |X| t X . Let θ1 = |X| denote the component of θ in the t direction and and θ = |X| n S+ = {X ∈ Rn+1 : r = 1, θ1 > 0} denote the upper unit half-sphere. + Step 1. Let ū be a homogeneous solution of (1.10) i.e. assume that for some n ψ ∈ C 2 (S+ ), 2s ū(X) = r− p−1 ψ(θ). ON THE FRACTIONAL LANE-EMDEN EQUATION Then, ˆ ˆ (5.2) n S+ θ11−2s |∇ψ|2 + β ˆ n S+ where κs is given by (1.9) and 2s β= p−1 11 θ11−2s ψ 2 = κs |ψ|p+1 , n ∂S+ µ ¶ 2s n − 2s − . p−1 Indeed, since ū solves (1.10) and is homogeneous, ψ solves n − div(θ11−2s ∇ψ) + βθ11−2s ψ = 0 on S+ (5.3) n , − lim θ11−2s ∂θ1 ψ = κs |ψ|p−1 ψ on ∂S+ θ1 →0 Multiplying (5.3) by ψ and integrating, (5.2) follows. n Step 2. For all ϕ ∈ C 1 (S+ ), µ ¶2 ˆ ˆ ˆ n − 2s 1−2s p−1 2 2 (5.4) κs p |ψ| ϕ ≤ θ1 |∇ϕ| + θ11−2s ϕ2 n n n 2 ∂S+ S+ S+ By definition, ū is stable if for all φ ∈ Cc1 (Rn+1 + ), ˆ ˆ t1−2s |∇φ|2 dxdt (5.5) |ū|p−1 φ2 dx ≤ κs p Rn+1 + ∂Rn+1 + Choose a standard cut-off function η² ∈ Cc1 (R∗+ ) at the origin and at infinity i.e. n χ(²,1/²) (r) ≤ η² (r) ≤ χ(²/2,2/²) (r). Let also ϕ ∈ C 1 (S+ ), apply (5.5) with φ(X) = r− n−2s 2 for X ∈ Rn+1 + , η² (r)ϕ(θ) and let ² → 0. Inequality (5.4) follows. n Step 3. For α ∈ (0, n−2s 2 ), x ∈ R \ {0}, let vα (x) = |x|− n−2s +α 2 and v̄α its extension, as defined in Theorem 1.3. Then, v̄α is homogeneous i.e. there n exists φα ∈ C 2 (S+ ) such that for X ∈ Rn+1 \ {0}, + v̄α (X) = r− In addition, for all ϕ ∈ C n S+ θ11−2s |∇ϕ|2 + φα (θ). n (S+ ), õ ˆ (5.6) 1 n−2s +α 2 n − 2s 2 !ˆ ¶2 −α 2 ˆ = κs λ(α) n S+ θ11−2s ϕ2 ˆ 2 ϕ + n ∂S+ n S+ θ11−2s φ2α ¯ µ ¶¯2 ¯ ¯ ¯∇ ϕ ¯ ¯ φα ¯ Indeed, according to Fall [1616; 16, Lemma 3.1], v̄α is homogeneous. Using the calculus identity stated by Fall-Felli in [1717; 17, Lemma 2.1], we get ! õ ¶2 n − 2s 2 n − div(θ1−2s ∇φ ) + − α θ11−2s φα = 0 on S+ α 1 2 (5.7) n φα = 1 on ∂S+ . 12 J. DÁVILA, L. DUPAIGNE, AND J. WEI Multiply equation (5.7) by ϕ2 /φα , integrate by parts, apply the calculus identity ¯ ¯ ¯ ϕ ¯2 2 ϕ2 2 ¯ ∇φα · ∇ = |∇ϕ| − ¯∇ ¯¯ φα φα φα and recall from Fall [1616; 16, Lemma 3.1] that − lim t1−2s ∂t v α = κs λ(α)|x|− n−2s +α−2s 2 t→0 , where λ(α) is given by (1.8). Step 4. For α ∈ (0, n−2s 2 ) (5.8) n on S+ . φ0 ≤ φα n Indeed, on S+ , µ div(θ11−2s ∇φ0 ) = n − 2s 2 õ ¶2 θ11−2s φ0 ≥ n − 2s 2 ! ¶2 −α 2 θ11−2s φ0 so φ0 is a sub-solution of (5.7). By the maximum principle, the conclusion follows. Step 5. End of proof. Fix α ∈ (0, n−2s 2 ) given by α= so that µ n − 2s 2 ¶2 n − 2s 2s − 2 p−1 2s −α = p−1 2 µ ¶ 2s n − 2s − = β, p−1 where β is the constant appearing in (5.3). 0 Use the stability inequality (5.4) with ϕ = ψφ φα : ¯ µ ¶¯2 µ ¶2 ˆ µ ¶2 ˆ ˆ ¯ ψφ0 ¯¯ ψφ0 n − 2s 1−2s θ11−2s ¯¯∇ |ψ|p+1 ≤ θ (5.9) κs p . + 1 n n n φα ¯ 2 φα S+ ∂S+ S+ Note that a particular case of the identity (5.6) is (5.10) ¯ µ ¶¯2 ¶2 ˆ µ ˆ ˆ ˆ ¯ ϕ ¯¯ n − 2s 1−2s 1−2s 2 1−2s 2 ¯ 2 2 θ1 |∇ϕ| + θ1 ϕ = κs Λn,s ϕ + θ1 φ0 ¯∇ n n n n 2 φ0 ¯ S+ ∂S+ S+ S+ 0 Using (5.10) (with ϕ = ψφ φα ), (5.9) becomes ˆ ˆ ˆ κs p |ψ|p+1 ≤ κs Λn,s ψ2 + n ∂S+ n ∂S+ By (5.8), we deduce that ˆ ˆ κs p |ψ|p+1 ≤ κs Λn,s n ∂S+ n S+ ˆ ψ2 + n ∂S+ n ∂S+ ¯ µ ¶¯2 ¯ ¯ ¯∇ ψ ¯ . ¯ φα ¯ ¯ µ ¶¯2 ¯ ψ ¯¯ θ11−2s φ2α ¯¯∇ . n φα ¯ S+ Using again the identity (5.6), we deduce that ˆ ˆ ˆ κs p |ψ|p+1 ≤ κs (Λn,s − λ(α)) ψ2 + n ∂S+ θ11−2s φ20 n S+ ˆ θ11−2s |∇ψ|2 + β n S+ θ11−2s ψ 2 ON THE FRACTIONAL LANE-EMDEN EQUATION Comparing with (5.2), it follows that ˆ ˆ (5.11) (p − 1) |ψ|p+1 ≤ (Λn,s − λ(α)) n ∂S+ But from (5.2) and (5.6) 13 ψ2 . n ∂S+ ˆ ˆ |ψ|p+1 ≥ λ(α) ψ2 n ∂S+ n ∂S+ Combined with (5.11), we find that λ(α)p ≤ Λn,s unless ψ ≡ 0. ¤ 6. Blow-down analysis Proof of Theorem 1.1. Assume that p > pS (n). Take a solution u of (1.3) which is stable outside the ball of radius R0 and let ū be its extension solving (1.10). Step 1. limλ→+∞ E(ū, 0; λ) < +∞. Since E is nondecreasing, it suffices to show that E(ū, 0; λ) is bounded. Write E = E1 + E2 , where E1 is given by (4.1) and ˆ p+1 s t1−2s ū2 dσ E2 (ū; λ) = λ2s p−1 −n−1 p + 1 ∂B n+1 (0,λ)∩Rn+1 + By Lemma 2.6, E1 is bounded. Since E is nondecreasing, ˆ ˆ p+1 1 2λ t1−2s ū2 . E(ū; λ) ≤ E(u; t) dt ≤ C + λ2s p−1 −n−1 n+1 n+1 λ λ B2λ ∩R+ Applying Lemma 2.5, we deduce that E is bounded. Step 2. There exists a sequence λi → +∞ such that (ūλi ) converges weakly in 1 1−2s Hloc (Rn+1 dxdt) to a function ū∞ . + ;t 1 1−2s This follows from the fact that (ūλi ) is bounded in Hloc (Rn+1 dxdt) by + ;t Lemma 2.6. Step 3. ū∞ is homogeneous To see this, apply the scale invariance of E, its finiteness and the monotonicity formula: given R2 > R1 > 0, 0 = = ≥ ≥ lim E(ū; λi R2 ) − E(ū; λi R1 ) i→+∞ lim E(ūλi ; R2 ) − E(ūλi ; R1 ) i→+∞ µ ¶2 ∂ ūλi 2s ūλi + dx dt lim inf t r i→+∞ (B n+1 \B n+1 )∩Rn+1 p−1 r ∂r + R2 R1 µ ¶2 ˆ 4s 2s ū∞ ∂ ū∞ t1−2s r2−n+ p−1 + dx dt n+1 n+1 p−1 r ∂r (BR \BR )∩Rn+1 + ˆ 4s 1−2s 2−n+ p−1 2 1 Note that in the last inequality we only used the weak convergence of (ūλi ) to ū∞ 1 1−2s in Hloc (Rn+1 dxdt). So, + ;t 2s ū∞ ∂ ū∞ + =0 p−1 r ∂r a.e. in Rn+1 + . 14 J. DÁVILA, L. DUPAIGNE, AND J. WEI And so, u∞ is homogeneous. Step 4. ū∞ ≡ 0 Simply apply Theorem 5.1. n+1 Step 5. (ūλi ) converges strongly to zero in H 1 (BR \Bεn+1 ; t1−2s dxdt) and (uλi ) n+1 converges strongly to zero in Lp+1 (BR \ Bεn+1 ) for all R > ² > 0. Indeed, by 1 1−2s Steps 2 and 3, (ūλi ) is bounded in Hloc (Rn+1 dxdt) and converges weakly to + ;t λi 1−2s 0. It follows that (ū ) converges strongly to 0 in L2loc (Rn+1 dxdt). Indeed, + ;t by the standard Rellich-Kondrachov theorem and a diagonal argument, passing to a subsequence we obtain ˆ t1−2s |ūλi |2 dxdt → 0, n+1 Rn+1 ∩(BR \A) + n+1 n+1 as i → ∞, for any BR = BR (0) ⊂ Rn+1 and A of the form A = {(x, t) ∈ Rn+1 : + 0 < t < r/2}, where R, r > 0. By [1515; 15, Theorem 1.2], ˆ ˆ t1−2s |ūλi |2 dxdt ≤ Cr2 t1−2s |∇ūλi |2 dxdt Rn+1 ∩Brn+1 (x) + Rn+1 ∩Brn+1 (x) + n+1 for any x ∈ ∂Rn+1 ∩ A with + , |x| ≤ R, with a uniform constant C. Covering BR n+1 n+1 n+1 half balls Br (x) ∩ R+ , x ∈ ∂R+ with finite overlap, we see that ˆ ˆ t1−2s |∇ūλi |2 dxdt ≤ Cr2 , t1−2s |ūλi |2 dxdt ≤ Cr2 n+1 ∩A BR n+1 ∩A BR 1−2s and from this we conclude that (ūλi ) converges strongly to 0 in L2loc (Rn+1 dxdt). + ;t n+1 λi 1 1−2s Now, using (2.7), (ū ) converges strongly to 0 in Hloc (R+ \ {0}; t dxdt) n and by (2.6), the convergence also holds in Lp+1 (R \ {0}). loc Step 6. ū ≡ 0. Indeed, ˆ ˆ |∇ūλ |2 κs dx dt − |ūλ |p+1 dx n+1 n+1 n+1 n+1 2 p+1 R+ ∩B1 ∂R+ ∩B1 ˆ ˆ λ 2 κs 1−2s |∇ū | = t dx dt − |ūλ |p+1 dx+ n+1 n+1 n+1 n+1 2 p+1 R+ ∩B² ∂R+ ∩B² ˆ ˆ λ 2 κs 1−2s |∇ū | t dx dt − |ūλ |p+1 dx n+1 n+1 n+1 n+1 n+1 n+1 p + 1 2 R+ ∩B1 \B² ∂R+ ∩B1 \B² ˆ ˆ λ 2 p+1 κs n−2s p−1 1−2s |∇ū | =ε E1 (ū; λε) + t dx dt − |ūλ |p+1 dx n+1 n+1 n+1 n+1 n+1 n+1 p + 1 2 R+ ∩B1 \B² ∂R+ ∩B1 \B² ˆ ˆ λ 2 p+1 κs |∇ū | dx dt − |ūλ |p+1 dx ≤ Cεn−2s p−1 + t1−2s n+1 n+1 n+1 p + 1 n+1 n+1 n+1 2 ∂R+ ∩B1 \B² R+ ∩B1 \B² E1 (ū; λ) = E1 (ūλ ; 1) = t1−2s Letting λ → +∞ and then ε → 0, we deduce that limλ→+∞ E1 (ū; λ) = 0. Using the monotonicity of E, ˆ ˆ p+1 1 2λ E(t) dt ≤ sup E1 + Cλ−n−1+2s p−1 ū2 E(ū; λ) ≤ n+1 n+1 λ λ [λ,2λ] B2λ \Bλ ON THE FRACTIONAL LANE-EMDEN EQUATION 15 and so limλ→+∞ E(ū; λ) = 0. Since u is smooth, we also have E(ū; 0) = 0. Since E is monotone, E ≡ 0 and so ū must be homogeneous, a contradiction unless u ≡ 0. ¤ 7. Construction of radial entire stable solutions defined by Let ūs denote the extension of the singular solution us (1.7) to Rn+1 + ˆ P (X, y)u(y) dy. ūs (X) = Rn Let B1n+1 (7.1) n+1 denote the unit ball in R and for λ ≥ 0, consider div (t1−2s ∇u) = 0 in B1n+1 ∩ Rn+1 + n+1 u = λūs on ∂B1 ∩ Rn+1 + − lim (t1−2s ut ) = κs up on B n+1 ∩ {t = 0}. 1 t→0 Take λ ∈ (0, 1). Since us is a positive supersolution of (7.1), there exists a minimal solution u = uλ . By minimality, the family (uλ ) is nondecreasing and uλ is axially symmetric, that is, uλ (x, t) = uλ (r, t) with r = |x| ∈ [0, 1]. In addition, for a fixed value λ ∈ (0, 1), uλ is bounded, as can be proved by the truncation method of [11, 1], see also [1010, 10] and radially decreasing by the moving plane method (see [77, 7] for a similar setting). From now on let us assume that pS (n) < p and p Γ( n2 − s s p−1 )Γ(s + p−1 ) s s Γ( p−1 )Γ( n−2s − p−1 ) 2 ≤ 2 Γ( n+2s 4 ) , 2 Γ( n−2s 4 ) which means that the singular solution us is stable. Then, uλ ↑ us as λ ↑ 1, using the classical convexity argument in [22, 2] (see also Section 3.2.2 in [1414, 14]). Let λj ↑ 1 and mj = kuλj kL∞ = uλj (0), p−1 Rj = mj 2s , so that mj , Rj → ∞ as j → ∞. Set vj (x) = m−1 j uλj (x/Rj ). Then 0 ≤ vj ≤ 1 is a bounded solution of div (t1−2s ∇vj ) = 0 vj = λj ūs − lim (t1−2s (v ) ) = κ v p j t t→0 s j n+1 in BR ∩ Rn+1 + j n+1 on ∂BR ∩ Rn+1 + j n+1 on BR ∩ {t = 0}. j n+1 Moreover vj ≤ ūs in BR ∩ Rn+1 and vj (0) = 1. Using elliptic estimates we find + j n+1 (for a subsequence) that (vj ) converges uniformly on compact sets of R+ function v that is axially symmetric and solves ( div (t1−2s ∇v) = 0 in Rn+1 + − lim (t1−2s vt ) = κs v p t→0 to a on Rn × {0}. Moreover 0 ≤ v ≤ 1, v(0) = 1 and v ≤ ūs . This v restricted to Rn × {0} is a radial, bounded, smooth solution of (1.3) and from v ≤ ūs we deduce that v is stable. 16 J. DÁVILA, L. DUPAIGNE, AND J. WEI Acknowledgments: J. 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MR 2927586 Departamento de Ingenierı́a Matemática and CMM, Universidad de Chile, Casilla 170 Correo 3, Santiago, Chile E-mail address: jdavila@dim.uchile.cn LAMFA, UMR CNRS 7352, Université de Picardie Jules Verne, 33 rue St Leu, 80039, Amiens Cedex, France E-mail address: louis.dupaigne@math.cnrs.fr Department of Mathematics, University of British Columbia, Vancouver, B.C., Canada, V6T 1Z2. E-mail address: jcwei@math.ubc.ca