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Pseudospectral and spectral bounds for the Oseen vortices operator PDF

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PSEUDOSPECTRAL AND SPECTRAL BOUNDS FOR THE OSEEN VORTICES OPERATOR TE LI, DONGYIWEI, ANDZHIFEI ZHANG 7 1 0 2 n Abstract. In this paper, we solve Gallay’s conjecture on the spectral lower bound and a pseudospecrtalboundforthelinearizedoperatoroftheNavier-StokesequationinR2 around J rapidly rotating Oseen vortices. 3 2 1. introduction ] In this paper, we consider the Navier-Stokes equations in R2 P A ∂ v ν∆v+v v+ p = 0, t − ·∇ ∇ . (1.1) divv = 0, h  t v(0,x) = v (x), a  0 m where v(t,x) denotes the velocity, p(t,x) denotes the pressure and ν > 0 is the viscosity  [ coefficient. Let ω(t,x) = ∂ v1 ∂ v2 be the vorticity. The vorticity formulation of (1.1) 1 takes 2 − 1 v (1.2) ∂ ω ν∆ω+v ω = 0, ω(0,x) = ω (x). 9 t 0 − ·∇ 6 Given the vorticity ω, the velocity can be recovered by the Biot-Savart law 2 6 1 (x y)⊥ .0 (1.3) v(t,x) = 2π R2 x− y 2 ω(t,y)dy = KBS ∗ω. 1 Z | − | 0 Itis well knownthattheNavier-Stokes equations (1.2)hasafamily of self-similar solutions 7 called Lamb-Oseen vortices of the form 1 α x α x : (1.4) ω(t,x) = , v(t,x) = vG , v νtG √νt √νt √νt i (cid:16) (cid:17) (cid:16) (cid:17) X where the vorticity profile and the velocity profile are given by r a 1 1 ξ⊥ (ξ) = e−|ξ|2/4, vG(ξ) = 1 e−|ξ|2/4 . G 4π 2π ξ 2 − | | (cid:16) (cid:17) It is easy to see that ω(t,x)dx = α for any t > 0. The parameter α R is called the R2 ∈ circulation Reynolds number. R Toinvestigate thelong-timebehaviourof (1.2),itisconvenienttointroducetheself-similar variables x ξ = , τ = logt, √νt and the rescaled vorticity w and the rescaled velocity u 1 x ν x ω(t,x) = w logt, , v(t,x) = u logt, . t √νt t √νt r (cid:16) (cid:17) (cid:16) (cid:17) Date: January 24, 2017. 1 2 TELI,DONGYIWEI,ANDZHIFEIZHANG Then (w,u) satisfies (1.5) ∂ w+u w =Lw, τ ·∇ where the linear operator L is given by ξ (1.6) L =∆+ +1. 2 ·∇ For any α R,theLamb-Oseen vortex α (ξ) isasteady solution of (1.5). Gallay andWayne ∈ G [11, 12] proved that for the integrable initial vorticity, the long-time behaviour of the 2-D Navier-Stokes equations can be described by the Lamb-Oseen vortex. More precisely, for any initial data w L1(R2), the solution of (1.5) satisfies 0 ∈ lim w(τ) α = 0, α = w (ξ)dξ. τ→+∞ − G L1(R2) R2 0 Z (cid:13) (cid:13) This result suggests that α(cid:13) is a stab(cid:13)le equilibrium of (1.5) for any α R. This situation is G ∈ very similar to the Couette flow (y,0) in a finite channel, which is stable for any Reynolds number [8]. Recently, there are many important works [1, 2, 3, 16, 25] devoted to the study of long-time behaviour of the Navier-Stokes(Euler) equations around the Couette flow. Tostudythestability ofαG, itis naturaltoconsiderthelinearized equation aroundα (ξ), G which takes as follows (1.7) ∂ w = (L αΛ)w, τ − where Λ is a nonlocal linear operator defined by (1.8) Λw = vG w+u = Λ w+Λ w, u= K w. 1 2 BS ·∇ ·∇G ∗ The operator L αΛ in the weighted space Y = L2(R2, −1dx) defined in section 2 − G has a compact resolvent. Thus, the spectrum of L αΛ in Y is a sequence of eigenvalues − λn(α) n∈N satisfying Reλn(α) 0 for any n,α. A very important problem is to study { } ≤ how the spectrum changes as α + , which corresponds to the high Reynolds number | | → ∞ limit(the most relevant regime for turbulent flows). Theeigenvalues which correspondto the eigenfunctions in the kernel of Λdonot change as α varies. We denote by L and Λ therestriction of theoperators L and Λ to the orthogonal ⊥ ⊥ complement of kerΛ in Y. Then we define the spectral lower bound (1.9) Σ(α) = inf Rez : z σ L +αΛ ⊥ ⊥ ∈ − n o and pseudospectral bound (cid:0) (cid:1) −1 −1 (1.10) Ψ(α) = sup L αΛ iλ . ⊥ ⊥ Y→Y λ∈Rk − − k (cid:16) (cid:17) (cid:0) (cid:1) For selfadjoint operators, spectral and pesudospectral bounds are the same. Here L αΛ is a non-selfadjoint operator. It is easy to see that Σ(α) Ψ(α) for any α R. In−fact, ≥ ∈ Σ(α) and Ψ(α) are different. Moreover, the pseudo-spectrum plays an important role in the hydrodynamic stability [22], and the spectrum theory of non-selfadjoint operator is also a very active topic [4, 5, 20, 21]. Maekawa [17] proved that Σ(α) and Ψ(α) tend to infinity as α + . However, the | | → ∞ proof does not provide explicit bounds on Σ(α) and Ψ(α). Numerical calculations performed 1 by Prochazka and Pullin [18, 19] indicate that Σ(α) = O(α 2) as α + . Based on the | | | | → ∞ analysis for a model problem, Gallay [9] proposed the following conjecture. THE OSEEN VORTICES OPERATOR 3 Conjecture: there exists C > 0 independent of α so that as α + , | | → ∞ Σ(α) C−1 α 12, C−1 α 13 Ψ(α) C α 13. ≥ | | | | ≤ ≤ | | If this conjecture is true, then it shows that the linearized operator L αΛ becomes highly − non-selfadjoint in the fast rotating limit, and the fast rotation has a strong stabilizing effect on vortices. To solve this conjecture, Gallagher and Gallay suggested the following model problem (see Villani [24] P. 53 and [23]). Model problem: identify sufficient condition on f : R R, so that the real parts of the → eigenvalues of H = ∂2+x2+iαf(x) α − x in L2(R) go to infinity as α + , and estimate this rate. | | → ∞ Let Σ(α) be the infimum of the real part of σ(H ) and Ψ(α)−1 be the supremum of the α normoftheresolvent ofH along theimaginary axis. Undertheappropriateconditions onf, α Gallagher, Gallay and Nier [13] proved that Σ(α) and Ψ(α) go to infinity as α + , and | | → ∞ presented the precise estimate of the growth rate of Ψ(α). Their proof used the hypocoercive method, localization techniques, and semiclassical subelliptic estimates. 1 For the simplified linearized operator L αΛ1, Deng [6] proved that Ψ(α) = O(α 3). The − | | same result was proved by Deng [7] for the full linearized operator restricted to a smaller subspace than ker(Λ)⊥. Deng used the multiplier method based on Weyl calculus [15]. The goal of this paper is to give a positive answer on Gallay’s conjecture. The main difficulty comes from the nonlocal operator Λ so that the hypocoercive method introduced 2 by Villani [24] does not work. In fact, the linearized operator with the nonlocal skew-adjoint operator often appears in the linear stability theory of the incompressible fluids. In this paper, we develop a method to handle the nonlocal operator. The most key idea is to reduce the nonlocal operator to a model operator by constructing the wave operator. This is motivated by the following simple fact in the scattering theory. Let A,B be two selfadjoint operators in theHilbertspace H. Let U(t) = eitA and V(t) = eitB bethe strongly continuous groups of unitary operators. The wave operator is defined by W = lim W(t), W(t)= U( t)V(t). ± t→±∞ − Then it holds that (1.11) AW = W B. ± ± In fact, we have eisAe−itAeitB = e−i(t−s)Aei(t−s)BeisB, which gives by taking t that → ±∞ eisAW = W eisB. ± ± Then the identity (1.11) follows by taking the derivative in s at s = 0. In a joint work of the last two authors and Zhao [26], we use similar ideas to prove the optimal enhanced dissipation rate for the linearized Navier-Stokes equations in T2 around the Kolmogorov flow. 4 TELI,DONGYIWEI,ANDZHIFEIZHANG 2. Spectral analysis of the linearized operator In this section, we recall some facts about the spectrum of the linearized operator L αΛ − from [11, 12, 9, 10]. Although these facts will not be used in our proof, they will be helpful to understand this spectral problem. Let ρ(ξ) be a nonnegative function. We introduce the weighted L2 space L2(R2,ρdξ) = w L2(R2) : w 2 = w(ξ)2ρ(ξ)dξ < + , ∈ k kL2(ρ) R2| | ∞ n Z o which is a (real) Hilbert space equipped with the scalar product w ,w = w (ξ)w (ξ)ρ(ξ)dξ. 1 2 L2(ρ) 1 2 h i R2 Z We denote Y = L2(R2, −1dξ). G Lemma 2.1. It holds that 1. the operator L is selfadjoint in Y with compact resolvent and purely discrete spectrum n (2.1) σ(L) = : n = 0,1,2, . − 2 ··· 2. the operator Λ is skew-symm(cid:8)etric in Y. (cid:9) The first fact follows from the following observation: ξ 2 1 (2.2) = −12L 21 = ∆+ | | L −G G − 16 − 2 is a two-dimensional harmonic oscillator, which is self-adjoint in L2(R2) with compact resol- vent and discrete spectrum given by σ(L). Furthermore, we know that − 1. λ = 0 is a simple eigenvalue of L with the eigenfunction ; 0 G 2. λ = 1 is an eigenvalue of L of multiplicity two with the eigenfunctions ∂ and 1 −2 1G ∂ ; 2 G 3. λ = 1 is an eigenvalue of L of multiplicity three with the eigenfunctions ∆ ,(∂2 1 − G 1 − ∂2) and ∂ ∂ . 2 G 1 2G Now we consider the spectrum of L αΛ in Y for any fixed α R. Since Λ is a relatively − ∈ compact perturbation of L in Y, L αΛ has a compact resolvent in Y by the classical − perturbationtheory[14]. So,thespectrumof L αΛisasequenceofeigenvalues λn(α) n∈N. − { } Using the fact that Λw = 0 for w = ,∂ ,∂ ,∆ , 1 2 G G G G we deduce that 0, 1, 1 are also eigenvalues of L αΛ for any α R. Let us introduce the −2 − − ∈ following subspaces of X: ⊥ Y = w Y : w(ξ)dξ = 0 = , 0 ∈ R2 G n Z o (cid:8) (cid:9) ⊥ Y = w Y : ξw(ξ)dξ = 0 = ,∂ ,∂ , 1 0 1 2 ∈ R2 G G G n Z o (cid:8) (cid:9) Y = w Y : ξ 2w(ξ)dξ = 0 = ,∂ ,∂ ,∆ ⊥. 2 1 1 2 ∈ R2| | G G G G n Z o These spaces are invariant under the linear evolution gene(cid:8)rated by L αΛ(cid:9). − The following proposition shows that the Oseen vortex α is spectrally stable in Y for any α R. G ∈ THE OSEEN VORTICES OPERATOR 5 Proposition 2.2. For any α R, the spectrum of L αΛ satisfies ∈ − σ(L αΛ) z C : Rez 0 in Y, − ⊂ ∈ ≤ 1 σ(L αΛ) (cid:8)z C : Rez (cid:9) in Y , 0 − ⊂ ∈ ≤ −2 σ(L αΛ) (cid:8)z C : Rez 1(cid:9) in Y , 1 − ⊂ ∈ ≤ − σ(L αΛ) z C : Rez < 1 in Y . (cid:8) (cid:9) 2 − ⊂ ∈ − The operator L αΛ is invariant un(cid:8)der rotations with(cid:9)respect to the origin. Thus, it is natural to introduc−e the polar coordinates (r,θ) in R2. Let us decompose (2.3) Y = n∈NXn, ⊕ where X denote the subspace of all w Y so that n ∈ w(rcosθ,rsinθ)= a(r)cos(nθ)+b(r)sin(nθ) for some radial functions a,b : R+ R. → Lemma 2.3. kerΛ= X α∂ +β∂ . In particular, kerΛ⊥ X . 0 1 2 n>0 n ⊕ G G ⊂ ⊕ 3. Redu(cid:8)ction to on(cid:9)e-dimensional operators Following Deng’s work[7], wereducethelinearized operatortoafamily of one-dimensional operators. 1 We conjugate the linearized operator L αΛ with 2, and then obtain a linear operator in L2(R2,dξ): − G α H (3.1) α = −12L 21 +α −12Λ 21 = +α , H −G G G G L M where is defined by (2.2) and is defined by L M 1 w = vG w 12ξ KBS ( 12w) . M ·∇ − 2G · ∗ G Let us introduce some notations: (cid:0) (cid:1) 1 +∞ r s (3.2) [h] = min( , )|k|sh(s)ds, k K 2k s r | | Z0 1 e−r2/4 (3.3) σ(r)= − , g(r) = e−r2/8. r2/4 Then for w = w (r)eikθ, we have k∈Z∗ k P ( iλ)w (rcosθ,rsinθ)= ( w )(r)eikθ, α α,k,λ k H − H k∈Z∗ (cid:0) (cid:1) X where the operator acts on L2(R ,rdr) and is given by α,k,λ + H 1 k2 r2 1 (3.4) = ∂2 ∂ + + +iβ (σ(r) ν ) iβ g [g ], Hα,k,λ − r − r r r2 16 − 2 k − k − k Kk · where αk (3.5) β = , λ = β ν R. k k k 8π ∈ Without loss of generality, we assume β 1 for any k 1. k | |≥ | | ≤ We introduce the operator (3.6) α,k,λ = r12 α,k,λr−21 := k. H H H e e 6 TELI,DONGYIWEI,ANDZHIFEIZHANG Then acts on L2(R ,dr) and is given by k + H k2 1 r2 1 (3.7) e = ∂2+ − 4 + +iβ (σ(r) ν ) iβ g [g ], Hk − r r2 16 − 2 k − k − k Kk · 1 +∞ r s (3.8) ek[h] = min( , )|k|(rs)21h(s)ds, e K 2k s r | | Z0 and C∞(R ) is aecore of the operator with domain 0 + Hk (3.9) D( )= ω H2 (R ,dr) L2(R ,dr) : ω L2(R ,dr) . Hk ∈ loc + e ∩ + Hk ∈ + That is, (cid:8) (cid:9) e e w D = D( )= w L2(R ,dr) :∂2w, ,r2w L2(R ,dr) k 2, Hk ∈ + r r2 ∈ + | | ≥ D1 = D(eHk)=n w ∈L2(R+,dr) :r12∂r2(w/r12),r12∂r(w/r32),or2w ∈ L2(R+,dr) |k| = 1. n o Then the resolvent estimate is reduced to the following estimate e 1 Hku L2(R+,dr) & |βk|3 u L2(R+,dr). We also write (cid:13) (cid:13) (cid:13) (cid:13) (cid:13)e (cid:13) (cid:13) (cid:13) (3.10) = A +iβ B iλ, k k k k H − where e e e k2 1 r2 1 A = ∂2+ − 4 + , k − r r2 16 − 2 B = σ(r) g [g ]. ek k − K · It is easy to see that e e 3 (3.11) Ker(B1) = span r2g(r) , Ker(Bk) = 0 for k 2. | | ≥ Thus, L−αΛ|(kerΛ)⊥ iseunitary eq(cid:8)uivalen(cid:9)t to Hek|(ker(cid:8)Be1)(cid:9)⊥ ⊕ Hk. |k|=1 |k|≥2 In the sequel, we denote by , the L2(R L,dr) inner productL, and by the norm of + e e L2(R ,dr), the norm ofh·Lp·i(R ,dr). The notation a & b or a . b mke·akns that there + Lp + k·k exists a constant C > 0 independent of α,k,λ so that a C−1b or a Cb. ≥ ≤ 4. Resolvent estimate of 1 H As w = w, it is enough to prove the following resolvent estimate for . H−1 H1 e H1 Theoreem 4.1.eFor any λ R and w r23g(r) ⊥ D1, we have e ∈ ∈ { } ∩ 1 1w & β1 3 w . kH k | | k k Moveover, there exist λ R and v er32g(r) ⊥ D1 so that ∈ ∈{ } ∩ 1 1v . β1 3 v . kH k | | k k e THE OSEEN VORTICES OPERATOR 7 4.1. Reduction to the model operator . Let us introduce the operator T defined by 1 L I [w](r)g(r) 1 (4.1) Tw(r) = w(r)+ , σ′(r)r32 where r 3 (4.2) I1[w](r) = s2g(s)w(s)ds. Z0 It is easy to check that T is a bounded linear operator in L2(R ,dr). The adjoint operator + T∗ is also a bounded linear operator in L2(R ,dr) given by + +∞ ω(s)g(s) (4.3) T∗ω(r)= ω(r)+r23g(r) ds. Zr s23σ′(s) Lemma 4.2. It holds that 3 1. Tw 2 = w 2 hw,r2gi2; k k k k − kr23gk2 2. T∗T = P, where P is the projection to r32g(r) ⊥ L2(R+,dr); { } ∩ 3. TT∗ = IL2(R+,dr). Proof. The first one is equivalent to the second one. Thanks to r (r3σ′(r))′ = r3g(r)2 and I1[s32g(s)](r) = s3g(s)2ds = r3σ′(r), − − Z0 we find that 3 3 3 I1[s2g(s)](r)g(r) T(r2g)(r) = r2g(r)+ = 0. σ′(r)r32 Thus, it suffices to check that for any w ∈ {r32g(r)}⊥ ∩L2(R+,dr), u ∈ C0∞(R+), T∗Tw,u = w,u , h i h i which is equivalent to verifying that I [w](r)g(r) I [u](r)g(r) I [w](r)g(r) I [u](r)g(r) 1 1 1 1 ,u + w, + , = 0. σ′(r)r32 σ′(r)r32 σ′(r)r32 σ′(r)r32 D E D E D E 3 ⊥ Using the facts that for w r2g(r) , ∈ I [ω](0) = lim I [ω](r) = 0, (cid:8) 1 (cid:9) 1 r→+∞ and (r3σ′(r))′ = r3g(r)2, we get by integration by parts that − I [w](r)g(r) +∞ I [w] 1 1 ,u = dI [u] D σ′(r)r32 E Z0 σ′(r)r3 1 +∞ I [w] = I [u]( 1 )′dr − 1 σ′(r)r3 Z0 +∞ r32g(r)w(r)σ′(r)r3 I1[ω](σ′(r)r3)′ = I [u] − dr − 1 (σ′(r)r3)2 Z0 +∞ I [u]g(r) +∞ g2(r) 1 = w(r) dr I [w]I [u] dr. −Z0 σ′(r)r32 −Z0 1 1 (σ′(r)r32)2 This shows that T∗T = P. 8 TELI,DONGYIWEI,ANDZHIFEIZHANG On the other hand, we have +∞ w(s)g(s) T∗w 2 w 2 = ∂ (r3σ′(r)f 2), f (r)= ds, | | −| | − r | 1| 1 Zr s23σ′(s) which gives T∗w 2 = w 2, thus TT∗ = I. (cid:3) k k k k We have the following important relationship between T and B . 1 Lemma 4.3. It holds that e TB = σ(r)T. 1 Proof. Direct calculation gives e I [B w]g(r) 1 1 TB w = B w+ 1 1 σ′(r)r32 e e e I [σw]g(r) I [g [gw]]g(r) 1 1 1 = σ(r)w g [gw]+ K . − K1 σ′(r)r32 − σ′(r)r32 e Thus, it suffices to show that e (4.4) I1[σw] = σ′(r)r32 1[gw]+I1[g 1[gw]]+σ(r)I1[w]. K K Direct calculation shows that e e σ′(r)r32 1[gw] = r12(e−r42 σ(r)) +∞min(r, s)(rs)12g(s)w(s)ds K − s r Z0 e = r12(e−r42 σ(r))[ rr−21s23g(s)w(s)ds+ +∞r32s−21g(s)w(s)ds] − Z0 Zr = (e−r42 σ(r))I1[w]+r2(e−r42 σ(r)) +∞s−21g(s)w(s)ds, − − Zr and r I1[g 1[gw]](r) = s23g2(s) 1[gw](s)ds K K Z0 r 1 +∞ t s = e s32g2(s)ds min(e , )(ts)12g(t)w(t)dt 2 s t Z0 Z0 = 1 rse−s42ds st32g(t)w(t)dt+ 1 rs3e−s42ds +∞t−21g(t)w(t)dt 2 2 Z0 Z0 Z0 Zs = 1 rt32g(t)w(t)dt rse−s42ds+ 1 rs3e−s42ds rt−21g(t)w(t)dt 2 2 Z0 Zt Z0 Zs + 1 rs3e−s42ds +∞t−21g(t)w(t)dt 2 Z0 Zr = rt23g(t)w(t)(e−t42 e−r42)dt+ 1 rt−21g(t)w(t)dt ts3e−s42ds − 2 Z0 Z0 Z0 +[4(1 e−r42) r2e−r42] +∞t−21g(t)w(t)dt − − Zr = e−r42I1[w]+I1[σw]+r2(σ(r) e−r42) +∞t−12g(t)w(t)dt, − − Zr which give (4.4). (cid:3) THE OSEEN VORTICES OPERATOR 9 Lemma 4.4. It holds that [T,A ]w = TA w A Tw = f(r)Tw, 1 1 1 − where e e e g(r)4 g(r)2 6 f(r)= 2 + r 0. (σ′(r)2) σ′(r) r − ≥ (cid:0) (cid:1) Proof. First of all, we have [T,A ]w = I1[(−∂r2 + 43r12 + 1r62)w]g(r) ∂2+ 3 1 + r2 I1[w]g(r) . 1 σ′(r)r32 − − r 4r2 16 σ′(r)r32 (cid:16) (cid:17)(cid:16) (cid:17) Using the facets that r I1[−∂r2w] = −r32g(r)w′(r)+(r32g(r))′w(r)− (s32g(s))′′w(s)ds, Z0 3 1 r2 (−∂r2+ 4r2 + 16)r32g(r) = r32g(r), we deduce that 3 1 r2 I1 (−∂r2+ 4r2 + 16)w = −r23g(r)ω′(r)+(r32g(r))′ω(r)+I1[ω], Direct calculatio(cid:2)n gives (cid:3) ∂r2 Iσ1[′ω(r])gr(r32) = ω′(r)gσ2′((rr)) +ω(r) gσ2′((rr)) ′+r32g(r)ω(r) σg(′(rr))rr323 ′+I1[ω] σg(′(rr))rr323 ′′. (cid:16) (cid:17) (cid:0) (cid:1) (cid:0) (cid:1) (cid:0) (cid:1) Let F = r32g(r) and G(r) = σ′(r)r3. We have 3 1 r 3 1 r2 F′ = F, F′′ = 1+ F, G′ = F2. 2 · r − 4 4 · r2 − 16 − Summing up, we ob(cid:0)tain (cid:1) (cid:0) (cid:1) F′F F2 F [T,A ]w = +( )′+F( )′ w 1 G G G (cid:2) 3 1 r2 I [w(cid:3)]F F e + 1 1 +I [w]( )′′. − 4 · r2 − 16 G 1 G On the other hand, we have (cid:0) (cid:1) F 3 1 r2 F F F′F (G′)2 ′′ = 1+ + 4 +2 , G 4 · r2 − 16 G G G G2 (cid:0)F′F(cid:1) (cid:0)F2 F (cid:1) F′F (cid:0) (G′)2 (cid:1) +( )′+F ′ = 4 +2 , G G G G G2 Then we infer that (cid:0) (cid:1) F′F (G′)2 I [w]F 1 [T,A ]w = 4 +2 (w+ ) 1 G G2 G (cid:0) g4 g2 (cid:1)6 e = 2 + ( r) Tw = f(r)Tw. (σ′)2 σ′(r) r − (cid:0) (cid:1) It remains to prove that f(r) 0. We have ≥ g4 g2 6 r6+r2(6 r2)(r2+4 4er42) 2 + ( r)= − − , (σ′)2 σ′(r) r − 32(r2 +1 er42)2 4 − 10 TELI,DONGYIWEI,ANDZHIFEIZHANG while by Taylor expansion, we have r6+r2(6 r2)(r2+4 4er42) =2r4+24r2 24r2er42 +4r4er42 − − − +∞ 1 r2 +∞ 1 r2 =2r2 r2+2r2 ( )n 12 ( )n n! 4 − n! 4 h nX=0 nX=1 i +∞ 1 r2 +∞ 1 r2 =2r2 8 ( )n 12 ( )n 0. (n 1)! 4 − n! 4 ≥ h nX=2 − nX=2 i This completes the proof. (cid:3) It follows from Lemma 4.3 and Lemma 4.2 that for w r32g(r) ⊥ D1, ∈ { } ∩ T w = TA w+iβ TB w iλTw 1 1 1 1 H − = TA T∗Tw+iβ σ(r)Tw iλTw. 1 1 e e e − Lemma 4.2 ensures that T : r23g(re) ⊥ → L2(R+,dr) is invertible and T−1 = T∗. Let w = T−1u. We infer from Lemma 4.4 that (cid:8) (cid:9) T T−1u=TA T−1u+iβ σ(r)u iλu 1 1 1 H − (4.5) =A u+f(r)u+iβ σ(r)u iλu= u, 1 1 1 e e − L where e g(r)4 g(r)2 6 (4.6) f(r)= 2 + r . (σ(r)′)2 σ(r)′ r − So, the operator T plays a role of wave operator. Le(cid:0)t (cid:1) D( )= ω H2 (R ,dr) L2(R ,dr) : ω L2(R ,dr) . L1 ∈ loc + ∩ + L1 ∈ + Then u D( 1) T∗u(cid:8) D( 1) r32g(r) ⊥, and D( 1) = D( 3) = D. (cid:9) ∈ L ⇔ ∈ H ∩ L H Moreover, we have (cid:8) (cid:9) w,w = T−1u,T∗u = u,u . e 1 1 1 hH i hH i hL i On the other hand, w = Tw = u for any w r32g(r) ⊥ D1. Thus, we reduce the k k ek k kek ∈ { } ∩ resolvent estimate of to one of the model operator . 1 1 H L 4.2. Coercive estimates. e Lemma 4.5. The operator A can be represented as 1 1 (4.7) A1−e2 w = −r−23g−1∂r r3g2∂r(r−32g−1w) . In particular, we have (cid:0) (cid:1) (cid:2) (cid:3) e 1 (4.8) A for k 1. k ≥ 2 ≥ 3 Proof. Let F(r)= r2g(r). Then weehave r−23g−1∂r r3g2∂r(r−23g−1w) = F−1∂r F2∂r(F−1w) − − F′′ 3 1 r2 1 (cid:2) (cid:3) = ∂2+ (cid:2) w = ( ∂2(cid:3)+ 1+ )w = A w, − r F − r 4 · r2 − 16 1− 2 here we used F′′ = (34 · r12 −1+ 1r(cid:0)26)F. (cid:1) (cid:0)e (cid:1)

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