arXiv:1512.03124v1 [math.SP] 10 Dec 2015 pleteness. eak1.1. Remark ing: (1.1) hoe 1.1. Theorem following: the are results main our where hssleJtmrky’ ojcuei 95[8(e also let [28](see precisely, 1995 point MathMore in transition Almost conjecture of exact Jitomirskaya’s spectrum solve the thus point find purely to will We spectrum interes continuous provides [35]. it theory because also spectral beca and studied physics extensively in been backgrounds has which constant, coupling hspprcnen h pcrlmaueo h lotMathi Almost the of spectral the concerns paper This Date (3) (2) (1) HR HS RNIIN O H ALMOST THE FOR TRANSITIONS PHASE SHARP eebr1,2015. 11, December : θ oehrwt 3,w ietesapdsrpino hs tra phase of operator. description Mathieu sharp almost the the give p we [3], to conject Jitomirskaya’s with spectrum solves Together which continuous place, singular p takes from the spectrum of locate freq transition strength and the phase factors the of those the between both properties competition arithmetic on the the way study and fundamental constant a coupling in depends operator Abstract. If eaigegnucin o a.e. for eigenfunctions decaying If o all for If all ∈ | 1 | λ λ θ | ≤ R | | . ( e > < H stephase, the is θ λ RU VL,JAGN O,ADQ ZHOU QI AND YOU, JIANGONG AVILA, ARTUR at()i rvdb Avila by proved is (1) Part 1 . λ,α,θ | Let β , e < , then ti nw htteseta yeo h lotMathieu almost the of type spectral the that known is It then p q u n n α β ) , n ethe be ∈ AHE OPERATOR MATHIEU H then = H R λ,α,θ β λ,α,θ \ u ( Q n α H 1. α +1 n =lmsup lim := ) with a ueyasltl otnossetu for spectrum continuous absolutely purely has λ,α,θ − a ueypitsetu ihexponentially with spectrum point purely has ∈ anresults Main + hcnegn of convergent th R u 0 n n a ueysnua otnosspectrum continuous singular purely has \ →∞ − Q β < 1 1 2 + stefeunyand frequency the is θ ( . α ln λ ) [3] q q o 2 cos < n n esaehr utfrcom- for just here state we , +1 ∞ , π hnw aetefollow- the have we then , α, ( nα n define and + r n[8 30]. [28, in ure rbe n[30]). in 8 Problem θ ) stosfor nsitions ec.We uency. igeape in examples ting itwhere oint u s fisstrong its of use r point ure n , λ rmsingular from e operator, ieu uoperator: eu ∈ the R sthe is 2 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

Remark 1.2. The cases β = 0, ∞ have been solved in previous works [3, 9]. Together with Theorem 1.1, one sees the sharp phase transition scenario of three types of the spectral measure. Moreover, the type of the spectral measure is clear for all (λ, β) except the line λ = eβ. See Figure 1 and Figure 2 below.

λ

pp

sc

λ = 1 ac β(α)

Figure 1. Phase transition diagram

ac sc pp λ 0 1 eβ

Figure 2. Phase transition for fixed α.

Remark 1.3. Theorem 1.1(3), also called Anderson localization (AL), is optimal in the sense that the result can not be true for Gδ dense θ [25]. The arithmetic property of θ will influence the spectral measure. Now we briefly recall the history of this problem. By symmetry, we just need to consider the case λ> 0. In 1980, Aubry-Andr´e[1] conjectured that the spectral measure of Hλ,α,θ depends on λ in the following way: (1) If λ< 1, then Hλ,α,θ has purely absolutely continuous spectrum for all α ∈ R\Q, and all θ ∈ R. (2) If λ> 1, then Hλ,α,θ has pure point spectrum for all α ∈ R\Q, and all θ ∈ R. However, Aubry and Andr´eoverlooked the role of the arithmetic property of α. Avron-Simon [12] soon found that by Gordon’s lemma [21], Hλ,α,θ has PHASE TRANSITION 3 no eigenvalues for any λ ∈ R, θ ∈ R if β(α) = ∞. Since then, people pondered how the arithmetic property of α influences the spectral type and under which condition Aubry-Andr´e’s conjecture [1] is true. γ−1 When α is Diophantine (i.e. there exist γ,τ > 0 such that kkαkT ≥ |k|τ , for all 0 6= k ∈ Z), and λ is large enough, the operator has pure point spectrum [17, 19, 39], and when λ is small enough, the operator has abso- lutely continuous spectrum [14, 15, 16]. The common feature of the above results is that they both rely on KAM-type arguments, thus the largeness or smallness of λ depend on Diophantine constant γ,τ, we therefore call such results perturbative results. Non-perturbative approach to localization problem was developed by Jitomirskaya, based on partial advance [26, 27], she finally proved that if α is Diophantine, Hλ,α,θ has AL for all λ> 1 and a.e. θ ∈ R. It follows from the strong version of Aubry duality [22], Hλ−1,α,θ has purely absolutely continuous spectrum for a.e. θ ∈ R. Therefore, Jito- mirskaya [29] proved Aubry-Andr´e’s conjecture in the measure setting, i.e. the conjecture holds for almost every α ∈ R\Q, θ ∈ R. Before Jitomirskaya’s result, Last [33], Gesztesy-Simon [20], Last-Simon [36] have already showed that Hλ,α,θ has absolutely continuous components for every λ< 1, α ∈ R\Q,θ ∈ R, so the conjecture in subcritical regime still has some hope to be true, which was also conjectured by Simon [38]. Re- cently, Avila-Jitomirskaya [10] showed that if α is Diophantine, then Hλ,α,θ is purely absolutely continuous for every θ ∈ R. For β > 0, Avila-Damanik [7] proved that the conjecture (1) for almost every θ. The complete answer of Aubry-Andr´e’s conjecture (1) was provided by Avila [3]. One thus sees that λ = 1 is the phase transition point from absolutely continuous spectrum to singular spectrum. The remained issue is Aubry-Andr´e’s conjecture (2) when α is Liouvillean. People already knew that the spectral measure is pure point for Diophantine α and almost every phases, while it is purely singular continuous for β(α)= ∞ and all phase. So there must be phase transition when β(α) goes from zero to infinity. In 1995, Jitomirskaya [28] modified the second part of the Aubry-Andr´e’s conjecture and conjectured the following

(1) If 1 <λ eβ, the spectrum is pure point with exponential decaying eigenfunctions for a.e. θ.

Thus λ = eβ is conjectured to be the exact phase transition point from con- tinuous spectrum to pure point spectrum. There are some partial results on Jitomirskaya’s conjecture. By Gordon’s lemma [21] and the exact formula of Lyapunov exponent [13], one can prove that Hλ,α,θ has purely singular con- β tinuous spectrum for any θ ∈ R if 1 <λ e 9 , then Hλ,α,θ has AL for a.e. θ ∈ R. You-Zhou [40] proved that if 4 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

β 1 λ>Ce with C large enough , then the eigenvalues of Hλ,α,θ with exponen- tially decaying eigenfunctions are dense in the spectrum. Readers can find more discussions on these two results in section 4. The main contribution of this paper is to give a full proof of Jitomirskaya’s conjecture. We remark that the spectral type at the transition points λ = 1 and λ = eβ have not been completely understood so far. Partial results include the following: in case λ = 1, since the of the spectrum is zero for every α ∈ R\Q [11, 34], by Aubry duality [22], we know Hλ,α,θ is purely singular continuous for a.e. θ ∈ R. In fact, Avila [2] has proved more: if θ is not rational w.r.t α, then Hλ,α,θ is purely singular continuous. We remark that, by Gordon’s lemma [21], if β > 0, then Hλ,α,θ is purely singular continuous for λ = 1 and every θ ∈ R, we include this in Theorem 1.1(2). Excluding or proving the existence of point spectrum in case that α is Diophantine is one of the major interesting problems for the critical . For the second transition point λ = eβ, one knows almost nothing but purely singular continuous spectrum for a Gδ set of θ [25]. The spectral type possibly depends on the finer properties of approximation of α, as conjectured by Jitomirskaya in [30].

2. preliminaries For a bounded analytic (possibly matrix valued) F defined on ω {θ||ℑθ| < h}, let kF kh = sup|ℑθ|

2.1. Continued Fraction Expansion. Let α ∈ (0, 1) be irrational. Define a0 = 0, α0 = α, and inductively for k ≥ 1,

−1 −1 1 ak = [αk−1], αk = αk−1 − ak = G(αk−1)= { }, αk−1

Let p0 = 0,p1 = 1,q0 = 1,q1 = a1, then we define inductively pk = akpk−1 + pk−2, qk = akqk−1 + qk−2. The sequence (qn) is the denominators of best rational approximations of α since we have

(2.1) ∀1 ≤ k

1If one check carefully the proof, it already gives C = 1. PHASE TRANSITION 5

2.2. Cocycles. A cocycle (α, A) ∈ R\Q × Cω(T,SL(2, R)) is a linear skew product: (α, A) : T1 × R2 → T1 × R2 (θ, v) 7→ (θ + α, A(θ) · v), for n ≥ 1, the products are defined as

An(θ)= A(θ + (n − 1)α) · · · A(θ), −1 and A−n(θ)= An(θ − nα) . For this kind of cocycles, the Lyapunov expo- nent 1 L(α, A) = lim ln kAn(θ)kdθ, n→∞ n Z is well defined. Assume now A ∈ C0(T,SL(2, R)) is homotopic to the identity. Then there exists ψ : T × T → R and u : T × T → R+ such that cos 2πy cos 2π(y + ψ(x,y)) A(x) · = u(x,y) . sin 2πy sin 2π(y + ψ(x,y))     The function ψ is called a lift of A. Let µ be any probability measure on T×T which is invariant by the continuous map T : (x,y) 7→ (x + α, y + ψ(x,y)), projecting over Lebesgue measure on the first coordinate (for instance, take 1 n−1 k µ as any accumulation point of n k=0 T∗ ν where ν is Lebesgue measure on T × T). Then the number P

rotf (α, A)= ψdµ mod Z Z does not depend on the choices of ψ and µ, and is called the fibered rotation number of (α, A), see [31] and [23]. Let cos 2πφ − sin 2πφ R = , φ sin 2πφ cos 2πφ   0 then any A ∈ C (T,SL(2, R) is homotopic to θ 7→ Rnθ for some n ∈ Z, we call n the degree of A, and denote deg A = n. The fibered rotation number is invariant under conjugation in the following sense: For cocycles 0 (α, A1) and (α, A2), if there exists B ∈ C (T, PSL(2, R)), such that B(θ + −1 α) A1(θ)B(θ)= A2(θ), then we say (α, A1) is conjugated to (α, A1). If B has degree n, then we have 1 (2.4) rot (α, A ) = rot (α, A )+ nα. f 1 f 2 2 If furthermore B ∈ C0(T, SL(2, R)) with deg B = n ∈ Z, then we have

(2.5) rotf (α, A1) = rotf (α, A2)+ nα. The cocycle (α, A) is Cω reducible, if it can be Cω conjugated to a constant cocycle. The cocycle (α, A) is called Cω rotations reducible, if there exist B ∈ Cω(T,SL(2, R)) such that B(θ+α)−1A(θ)B(θ) ∈ SO(2, R). The crucial reducibility results for us is the following: 6 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

ω ˜ Theorem 2.1. [8, 24] Let (α, A) ∈ R\Q × Ch (T,SL(2, R)) with h> h> 0, R ∈ SL(2, R), for every τ > 1,γ> 0, if rotf (α, A) ∈ DCα(τ, γ), where γ DC (τ, γ)= {φ ∈ R|k2φ − mαk ≥ ,m ∈ Z} α R/Z (|m| + 1)τ then there exist T = T (τ), κ = κ(τ), such that if κ κ kA(θ) − Rkh < T (τ)γ (h − h˜) , then there exist B ∈ Cω(T,SL(2, R)), ϕ ∈ Cω(T, R), such that h˜ h˜ −1 B(θ + α)A(θ)B(θ) = Rϕ(θ),

1 2 e with estimates kB − id kh˜ ≤ kA(θ) − Rkh , kϕ(θ) − ϕˆ(0)kh ≤ 2kA(θ) − Rkh.

2.3. Almost Mathieu cocycle. Note that a sequence (un)n∈Z is a formal solution of the eigenvalue equation Hλ,α,θu = Eu if and only if it satisfied u u n+1 = Sλ (θ + nα) · n , where u E u  n   n−1 E − 2λ cos 2π(θ) −1 Sλ (θ)= ∈ SL(2, R). E 1 0   λ We call (α, SE) an almost Mathieu cocycle. Denote the spectrum of Hλ,α,θ by Σλ,α, which is independent of θ when α ∈ R\Q. If E ∈ Σλ,α, then the Lyapunov exponent of almost Mathieu cocycle can be computed directly.

Theorem 2.2. [13] If α ∈ RrQ, E ∈ Σλ,α, then we have λ L(α, SE ) = max{0, ln |λ|}. 2.4. Global theory of one frequency quasi-periodic SL(2, R) cocycle. We make a short review of Avila’s global theory of one frequency quasi- periodic SL(2, R) cocycle [4]. Suppose that A ∈ Cω(R/Z, SL(2, R)) ad- mits a holomorphic extension to |ℑθ| < δ, then for |ǫ| < δ we can define ω Aǫ ∈ C (R/Z, SL(2, C)) by Aǫ(θ) = A(θ + iǫ). The cocycles which are not uniformly hyperbolic are classified into three regimes: subcritical, critical, and supercritical. In particular, (α, A) is said to be subcritical, if there exists δ > 0, such that L(α, Aε)=0 for |ε| < δ. The heart of Avila’s global theory is his “Almost Reducibility Conjec- ture”(ARC), which says that subcriticality implies almost reducibility. Re- call the cocycle (α, A) is called almost reducible, if there exists h∗ > 0, and ω −1 a sequence Bn ∈ Ch∗ (T,PSL(2, R)) such that Bn(θ + α) A(θ)Bn(θ) con- verges to constant uniformly in |ℑθ| < h∗. For our purpose, we need this strong version of almost reducibility, and h∗ should be chosen to be δ − ǫ with ǫ arbitrary small. The full solution of ARC was recently given by Avila in [5, 6]. In the case β(α) > 0, it is the following: PHASE TRANSITION 7

ω Theorem 2.3. [5] Let α ∈ R\Q with β(α) > 0, h > 0, A ∈ Ch (T, R). If (α, A) is subcritical, then for any 0 < h∗ < h there exists C > 0 such ω that if δ > 0 is small enough, then there exist B ∈ Ch∗ (T,PSL(2, R)) and Cδq R∗ ∈ SO(2, R) such that kBkh∗ ≤ e and −1 −δq kB(θ + α) A(θ)B(θ) − R∗kh∗ ≤ e . 2.5. Aubry duality. Suppose that the quasi-periodic Schr¨odinger operator

(2.6) (HV,α,θx)n = xn+1 + xn−1 + V (nα + θ)xn = Exn, 2πinϕ has an analytic quasi-periodic Bloch wave xn = e ψ (nα + φ) for some ψ ∈ Cω(T, C) and ϕ ∈ [0, 1). It is easy to see the Fourier coefficients of ψ(θ) satisfy the following Long-range operator:

(2.7) (LV,α,ϕu)n = Vkun−k + 2cos2π(ϕ + nα)un = Eun, Z Xk∈ Almost Mathieub operator is the only operator which is invariant under Aubry duality, and the dual of Hλ,α,θ is Hλ−1,α,ϕ. Rigorous spectral Aubry duality was founded by Gordon-Jitomirskaya- Last-Simon in [22], where they proved that if Hλ,α,θ has pure point spectrum for a.e. θ ∈ R, then Hλ−1,α,ϕ has purely absolutely continuous spectrum for a.e. ϕ ∈ R. Readers can find more discussions about dynamical Aubry duality in section 4.

3. Singular continuous spectrum In this section, we prove Theorem 1.1 (2). We re-state it as in following Theorem 3.1. Let α ∈ R\Q with 0 < β(α) ≤ ∞. If 1 ≤ λ < eβ, then Hλ,θ,α has purely singular continuous spectrum for any θ ∈ T. Remark 3.1. We stress again by classical Gordon’s argument [21], one can β only obtain result in rigime 1 ≤ λ < e 2 . The reason why one can only β obtain e 2 is that, in the classical Gordon’s lemma, one has to approximate the solution by periodic ones along double periods. β Proof. If 1 <λ 0. By Kotani’s theory [32], the operator Hλ,θ,α doesn’t support any absolutely continuous spectrum, thus one only needs to exclude the point spectrum. In the case λ = 1, since Lebesgue measure of Σ1,α is zero for any α ∈ R\Q [11, 34], then H1,θ,α also doesn’t support any absolutely continuous spectrum, thus to prove Theorem 3.1, it is also enough to exclude the point spectrum. As in classical Gordon’s lemma, we approximate the quasi-periodic cocy- λ cles by periodic ones. Denote A(θ)= SE(θ) and

(3.1) Am(θ) = A(θ + (m − 1)α) · · · A(θ + α)A(θ), = Am(θ) · · · A2(θ)A1(θ) 8 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

pn pn (3.2) Am(θ) = A(θ + (m − 1) ) · · · A(θ + )A(θ), qn qn m 2 1 e = A (θ) · · · A (θ)A (θ),

−1 for m ≥ 1. We also denotee A−m(θ)e = Aem(θ − mα) , A−m(θ) = Am(θ − m pn )−1. Our proof is based on the following qn e e Proposition 3.1. Let α ∈ R\Q. If λ ≥ 1 and E ∈ Σλ,α, then for any ǫ> 0, there exists N = N(E, λ, ǫ) > 0 such that if qn > N, then we have

1 (ln λ+ǫ)qn (3.3) sup kA±qn (θ) − A±qn (θ)k ≤ e , θ∈T qn+1 1 e (ln λ+ǫ)qn (3.4) sup kAqn (θ + qnα) − Aqn (θ)k ≤ e . θ∈T qn+1

Proof. Furman’s result [18] gives

1 λ (3.5) lim sup log kAm(θ)k≤ L(α, SE). m→±∞ θ∈T |m|

Then by Theorem 2.2, we know for any ǫ> 0, there exists K = K(E, λ, ǫ) > 0, such that for any |m|≥ K, we have

|m|(ln λ+ǫ/2) (3.6) sup kAm(θ)k ≤ e . θ∈T

In the following, we only consider m is positive, the proof is similar for negative m. In order to prove (3.3), we need the following:

Lemma 3.1. Let α ∈ R\Q. If λ ≥ 1 and E ∈ Σλ,α, then for any ǫ > 0, there exists N− = N−(E, λ, ǫ) > 2K, such that

m(ln λ+2ǫ/3) (3.7) sup kAm(θ)k ≤ e θ∈T e for any qn ≥ N−, m ≥ K.

Proof. Clearly, for fixed m ∈ Z and δ > 0, if qn is sufficiently large we have

1 1 sup ln kAm(θ)k− ln kAm(θ)k < δ. θ∈T m m

e Thus, there exists N− = N−(E, λ, ǫ) > 0 such that if qn ≥ N− then (3.7) holds for K ≤ m ≤ 2K − 1. Since any m ≥ K can be written as a sum of integers mi satisfying K ≤ mi ≤ 2K − 1, this implies that (3.7) holds for all m ≥ K.  PHASE TRANSITION 9

Once we have Lemma 3.1, (3.3) can be proved directly by telescoping arguments. In fact, if qn ≥ N− we can write

qn qn i+1 i i i−1 Aqn − Aqn = A · · · A A − A A · · · A1 Xi=1   e K qn−K qn e e e qn i+1 i i i−1 = + + A · · · A A − A A · · · A1  Xi=1 i=XK+1 i=qnX−K+1    = (I) + (II) + (III), e e e since for i ≤ q , we have kAi − Aik ≤ 4πλ(i−1) ≤ 4πλ , then by (3.6) and n qnqn+1 qn+1 Lemma 3.1, we can estimate K e 4πλ (I) ≤ (4λ + 3)i−1e(qn−i)(ln λ+2ǫ/3), qn+1 Xi=1 q −K 4πλ n (II) ≤ e(qn−1)(ln λ+2ǫ/3), qn+1 i=K+1 Xq 4πλ n (III) ≤ (4λ + 3)qn−ie(i−1)(ln λ+2ǫ/3). qn+1 i=qnX−K+1 If qn is sufficiently large, then (3.3) follows directly. Using the similar argu- ment as above, we can prove (3.4). 

Now we finish the proof of Theorem 3.1 by contradiction. For any fixed θ, we suppose that E is an eigenvalue of Hλ,α,θ, then there exists v = v 0 with kvk = 1, and for any ε > 0, there exists N = N(E, λ, ε), v  −1 such that if |m| > N(E, λ, ε), then kAm(θ)vk ≤ ε. In particular, for any 0 < 2ǫ < ln λ − β, we can select qn > max{N(E, λ, ǫ), N(E, λ, ε)}, and (β−ǫ)qn qn+1 > e , such that

(3.8) kAqn (θ)vk≤ ε, kA−qn (θ)vk≤ ε, where N(E, λ, ǫ) is defined in Proposition 3.1. What’s important is the following observation: Lemma 3.2. The following estimate holds:

−(β−ln λ−2ǫ)qn kAqn (θ + qnα)+ A−qn (θ + qnα)k≤ 2ε + 10e . Proof. By (3.3), it is sufficient for us to prove

−(β−ln λ−2ǫ)qn (3.9) kAqn (θ + qnα)+ A−qn (θ + qnα)k≤ 2ε + 8e . By Hamilton-Clay Theorem, for any M ∈ SL(2, R), one has e e (3.10) M + M −1 = trM · Id, 10 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

′ ′ for every θ ∈ T. Take M = Aqn (θ ), then (3.11) A (θ′)+ A (θ′)=trA (θ′). qn e −qn qn By assumptions (3.8) and (3.3), we have e e e

ktrAqn (θ)k

≤ kAq (θ)v + A−q (θ)vk + kAq (θ) − Aq (θ)k + kA−q (θ) − A−q (θ)k en n n n n n ≤ 2ε + 2e−(β−ln λ−2ǫ)qn . e e As a result of (3.3) and (3.4), we have

ktrAqn (θ + qnα)k

≤ ktrAq (θ + qnα) − trAq (θ + qnα)k + ktrAq (θ + qnα) − trAq (θ)k e n n n n +ktrAq (θ) − trAq (θ)k + ktrAq (θ)k e n n n ≤ 2ε + 8e−(β−ln λ−2ǫ)qn , e e then (3.9) follows from (3.11).  However by Lemma 3.2, we have

kA2qn (θ)vk = kAqn (θ + qnα)Aqn (θ)vk

≥ kA−qn (θ + qnα)Aqn (θ)vk − kAqn (θ + qnα)+ A−qn (θ + qnα)kkAqn (θ)vk 1 ≥ 1 − 2ε2 − 10εe−(β−ln λ−2ǫ)qn > , e 2 e which contradicts with the assumption that E is an eigenvalue. 

4. Anderson localization In this section, we prove Theorem 1.1 (3). We re-state it as the following Theorem 4.1. Let α ∈ R\Q be such that 0 < β(α) < ∞. If λ > eβ, then the almost Mathieu operator Hλ,α,φ has Anderson Localization for a.e. φ. Traditional method for Anderson Localization is to prove the exponen- tially decay of Green function [9, 26, 27, 29]. Due to the limitation of the method, Anderson Localization can be proved only for Liouvillean frequency 16β 16β with λ > e 9 so far [9]. So there is still a gap between eβ and e 9 . In this paper, we develop a new approach depending on the reducibility and Aubry duality. We will show that Theorem 4.1 can be obtained by dynamical Aubry duality and the following full measure reducibility result:

β λ−1 Theorem 4.2. Let α ∈ RrQ with β(α) > 0, if λ > e , rotf (α, SE ) is λ−1 Diophantine w.r.t. α, then (α, SE ) is reducible. The dynamical Aubry duality was established by Puig [37], who proved that Anderson localization of the Long range operator LV,α,ϕ for almost

b PHASE TRANSITION 11

V every ϕ ∈ T implies reducibility of (α, SE ) for almost every energies. Con- versely, to deal with localization problem by reducibility was first realized by You-Zhou in [40]. However, in [40] they can only prove the eigenvalues of LV,α,ϕ with exponentially decaying eigenfunctions are dense in the spectrum. The main issue remained is to prove those eigenfunctions form a complete basis.b The key point in this paper is that, we find that the quantitative estimates in the proof of Theorem 4.2 actually provides an asymptotical distribution of the eigenvalues and eigenfunctions, which ultimately implies pure point spectrum for almost every phases. Compared with tradition localization argument, the price we have to pay is that we lose precise arith- metic control on the localization phases. However, by this approach, one can indeed establish a kind of equivalence between quantitative full measure reducibility of Schr¨odinger operator (or Schr¨odinger cocycle) and Anderson localization of its dual Long-range operator.

Proof Theorem 4.1: We need the following definition: Definition 4.1. For any fixed N ∈ N,C > 0,ε> 0, a normalized eigenfunc- tion u(n) is said to be (N,C,ε)-good, if |u(n)|≤ e−Cε|n|, for |n|≥ (1 − ε)N.

φ We label the (N,C,ε)-good eigenfunctions of Hλ,α,φ by uj (n), denote the φ corresponding eigenvalue by Ej , also we denote φ φ φ EN,C,ε = {Ej |uj (n) is a (N,C,ε)-good normalized eigenfunction} φ pp and denote E(φ)= N>0 EN,C,ε. Let µδ0,φ be the spectral measure supported on E(φ) with respect to δ . S 0 The following spectral analysis is completely new and will be crucial for our proof. Proposition 4.1. Suppose that there exists C > 0, such that for any δ > 0, there exists ε> 0, and for a.e. φ, (4.1) #{linearly independent (N,C,ε)-good eigenfunctions}≥ (1 − δ)2N, pp for N large enough, then for a.e. φ, we have µφ = µδ0,φ = µδ0,φ. Proof. Fix φ ∈ T1 such that (4.1) is satisfied. Denote φ φ KN,C,ε = {j ∈ N|uj (n) is a (N,C,ε)-good eigenfunction}. φ Notice that for any fixed N,C,ε, #KN,C,ε is finite, and also

φ 2 −CεN (4.2) |uj (n)| > 1 − e , |n|≤X(1−ε)N φ for (N,C,ε)-good eigenfunction uj (n). 12 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

Let µpp = µpp (N,C,ε) be the truncated spectral measure supported δn,φ δn,φ φ on EN,C,ε. Then by and (4.2), we have e e 1 1 |µpp | > |µpp | 2N δn,φ 2N δn,φ |nX|≤N |nX|≤N 1 e = hPEφ δn, δni 2N N,C,ε |nX|≤N 1 = hP φ δn, δni 2N Ej |n|≤N j∈Kφ X XN,C,ε 1 > |uφ(n)|2 2N j |n|≤(1−ε)N j∈Kφ X XN,C,ε 1 > #Kφ (1 − e−CεN ) 2N N,C,ε > (1 − δ)(1 − e−CεN ). Since E(φ)= E(φ + α), we can rewrite the above inequalities as 1 |µpp | > (1 − δ)(1 − e−CεN ), 2N δ0,φ+nα |nX|≤N Let N go to ∞, since δ is arbitrary small, we have

pp |µ 0 |dφ = 1, 1 δ ,φ ZT T1 pp  by Birkhoff’s ergodic theorem. Thus for a.e. φ ∈ , µφ = µδ0,φ = µδ0,φ.

Let Θγ = {φ|φ ∈ DCα(τ, γ)}. We have γ>0 Θγ = 1, which implies that for any δ > 0, there exists ε> 0, such that if |γ| < ε, then |Θ | > 1 − δ . By S γ 3 Birkhoff’s ergodic theorem again, we have 1 e e lim χΘγ (φ + kα)= χΘγ (φ)dφ. e 1 N→∞ 2N e T |kX|≤N Z δ Thus for N large enoughe (we take N = N(1 − 3 )), we have δ (4.3) #{k|φ + kα ∈ Θγ , |k|≤e2N(1 − )}≥ (1 − δ)2N. 3

For any φ ∈ Θγ, we choose N¯ sufficiently large such that (4.3) holds for N > N¯ . We will prove that Hλ,α,φ has at least (1−δ)2N different eigenvalues φ φ Ek whose eigenfunctions uk (n) are (N, ln λ − β − ǫ, ε)-good for any ǫ. To prove this, we need the following quantitative version of Theorem 4.2: Proposition 4.2. Let α ∈ RrQ with β(α) > 0 and λ > eβ. Suppose λ−1 that rot (α, S −1 ) = φ + kα ∈ DCα(τ, γ). Then for any fixed γ > 0, f λ Ek PHASE TRANSITION 13

τ > 0 and small enough ǫ > 0, there exist c1(λ, γ, τ, ǫ, α), c2(λ, γ, τ, ǫ) and ω Bk ∈ Cln λ−β−ǫ(T,SL(2, R)), such that −1 λ−1 (4.4) B (θ + α) S −1 (θ)B (θ)= R ′ , k λ Ek k φ+k α with estimates:

(4.5) kBkkln λ−β−ǫ ≤ c1(λ, γ, τ, ǫ, α), ′ (4.6) |k − k | ≤ c2(λ, γ, τ, ǫ). β −1 Proof. If λ > e > 1, λ Ek ∈ Σλ−1,α, then the almost Mathieu cocycle λ−1 (α, S −1 ) is subcritical in the regime |Iθ| < ln λ. To prove Proposition λ Ek 4.2, we need Theorem 2.2 and the following: Lemma 4.1. If α ∈ RrQ, λ> 1, E ∈ R, then for ǫ ≥ 0, λ−1 λ−1 L(α, (SE )ǫ) = max{L(α, SE ), (ǫ − ln λ)}. Proof. The proof can be found in Appendix A of [4].  Now by Theorem 2.3, for 0 < 2ǫ < ln λ − β, there exists a sequence of ω Bn ∈ Cln λ−ǫ/2(T,PSL(2, R)) such that −1 λ−1 B (θ + α) S −1 (θ)B (θ)= R + F (θ), e n λ Ek n ϕn n with estimate e e ′ Cδ qn (4.7) kBnkln λ−ǫ/2 ≤ e , ′ −δ qn kFenkln λ−ǫ/2 ≤ e , which implies

(4.8) | deg Bn|≤ c(λ, ǫ)qn. One may consult footnote 5 of [5] in proving this. e If φ + kα ∈ DCα(τ, γ), we have ′ k2(φ + kα) − mα − k αkR/Z ′ γ (1 + |k |)−τ γ ≥ ′ ≥ . (|m + k | + 1)τ (|m| + 1)τ

By (2.4), this formula implies that rotf (α, Rϕn + Fn(θ)) ∈ DCα(τ, (1 + −τ | deg Bn|) γ). Let qs be the smallest denominator such that

(β−o(1))qs qs+1 > e , e ′ −qsδ γ κ ǫ κ e < T (τ)( τ ) ( ) , (1 + c(λ, ǫ)|qs|) 2 where T = T (τ), κ = κ(τ) are defined in Theorem 2.1. By Theorem 2.1, ω ω there exist Bk(θ) ∈ Cln λ−ǫ(T,SL(2, R)), ηk(θ) ∈ Cln λ−ǫ(T, R), such that −1 Bk(θ + α) (Rϕs + Fs(θ))Bk(θ)= Rηk(θ). 14 ARTURAVILA,JIANGONGYOU,ANDQIZHOU

′ −qsδ with estimates kηkkln λ−ǫ ≤ e and ′ −qsδ /2 (4.9) kBk − idkln λ−ǫ ≤ e .

Let ψk(θ) satisfy

(4.10) ψk(θ + α) − ψk(θ)= ηk(θ) − ηˆk(0). since ln λ > β, by (2.3), we know that there exists c = c(α, ǫ) such that ω (4.10) has analytic solution ψk(θ) ∈ Cln λ−β−ǫ(T, R) with estimate ′ −qsδ (4.11) kψkkln λ−β−ǫ ≤ c(α, ǫ)kηkkln λ−ǫ ≤ c(α, ǫ)e . ′ Let Bk(θ)= Bs(θ)Bk(θ)Rψk(θ), then there exists k ∈ Z, such that −1 λ−1 Bk(θ + α) S −1 (θ)Bk(θ)= R = R ′ . e λ Ek ηˆk(0) φ+k α λ−1 ω Since rot (α, S −1 ) is irrational w.r.t α, then B (θ) ∈ C (T,SL(2, R)), f λ Ek k ln λ−β−ǫ one can consult Remark 1.5 of [11] for this proof. Notice that deg Rψk(θ) = 0 and by (4.9), we have deg Bk = 0. Consequently by (2.5), we have ′ (4.12) k = k − deg Bs. (4.6) then follows from (4.8) and (4.12), and (4.5) follows from (4.7), (4.9) and (4.11). e  Rewrite (4.4) as ′ 2πi(φ+k α) −1 λ−1 e 0 (4.13) Bk(θ + α) Sλ−1E (θ)Bk(θ)= ′ , k 0 e−2πi(φ+k α) ! z (θ) z (θ) and write B (θ)= 11 12 , then we have k z (θ) z (θ)  21 22  −1 −1 (4.14) (λ Ek − 2λ cos(θ))z11(θ) ′ ′ −2πi(φ+k α) 2πi(φ+k α) = z11(θ − α)e + z11(θ + α)e . Taking the Fourier transformation for (4.14), we have ′ z11(n +1)+ z11(n − 1) + 2λ cos 2π(φ + k α + nα)z11(n)= Ekz11(n), ω then z11(n) is a eigenfunction, since z11 ∈ Cln λ−β−ǫ(T, C). To normalize z11b(n), we needb the following observation: b b Lemmab 4.2. We have the following: b −1 kz11kl2 ≥ (2kBkC0 ) . Proof. Write z b(θ) z (θ) u = 11 , v = 12 , z (θ) z (θ)  21   22  then kukL2 kvkL2 > 1 since det Bk(θ) = 1. This implies that −1 −1 2 2 2 0 kz11kL + kz21kL = kukL > kvkL2 > (kBkC ) . PHASE TRANSITION 15

′ −2πi(φ+k α) By (4.13), we have z21(θ + α)= e z11(θ), therefore, we have −1 kz11kl2 = kz11kL2 ≥ (2kBkC0 ) .  b ′ φ zb11(n+k ) Normalizing z11(n) by u (n) = b . Now we prove it is in fact k kz11kl2 (N, ln λ − β − ǫ, ε)-good. Let b δ c (λ, γ, τ, ǫ, α) c (λ, γ, τ, ǫ) 2ε< − 3 − 2 , 3 N N ′ ′ ln 2c1(λ,γ,τ,ǫ,α) φ φ+k α where c3(λ, γ, τ, ǫ, α)= ln λ−β−ǫ . Since uk (n)= uk (n−k ), then by Proposition 4.2 and Lemma 4.2, we have ′ φ φ+k α ′ |uk (n)| = |uk (n − k )| ′ 2 −|n−k |(ln λ−β−ǫ) ≤ kBkkln λ−β−ǫe ≤ e(c3(λ,γ,τ,ǫ,α)+|k|+c2(λ,γ,τ,ǫ))(ln λ−β−ǫ)e−|n|(ln λ−β−ǫ) δ ≤ e(N(1− 3 )+c2(λ,γ,τ,ǫ)+c3(λ,γ,τ,ǫ,α))(ln λ−β−ǫ)e−|n|(ln λ−β−ǫ) ≤ e−|n|(ln λ−β−ǫ)ε, φ for |n|≥ N(1 − ε), which means (uk (n)) is (N, ln λ − β − ǫ, ε)-good. By Proposition 4.1 and the above estimate, we know for a.e. φ ∈ T1, Hλ,α,φ has Anderson Localization.

Acknowledgements A.A was partially supported by the ERC Starting Grant“Quasiperiodic”and by the Balzan project of Jacob Palis. J. Y was partially supported by NNSF of China (11471155) and 973 projects of China (2014CB340701). Q. Z was partially supported by Fondation Sciences Math´ematiques de Paris (FSMP) and and ERC Starting Grant “Quasiperiodic”.

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CNRS UMR 7586, Institut de Mathematiques´ de Jussieu - Paris Rive Gauche, Batimentˆ Sophie Germain, Case 7012, 75205 Paris Cedex 13, France & IMPA, Estrada Dona Castorina 110, 22460-320, Rio de Janeiro, Brazil E-mail address: [email protected]

Department of Mathematics, Nanjing University, Nanjing 210093, China E-mail address: [email protected]

Laboratoire de Probabilites´ et Modeles` aleatoires,´ Universite´ Pierre et Marie Curie, Boite courrier 188 75252, Paris Cedex 05, France Current address: Department of Mathematics, Nanjing University, Nanjing 210093, China E-mail address: [email protected]