Analysis and Mathematical Physics
, Volume 10 (3) – Jun 10, 2020

/lp/springer-journals/diagonalization-of-the-finite-hilbert-transform-on-two-adjacent-5BKUAGRwBl

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- Springer Journals
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- Copyright © The Author(s) 2020
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- 1664-2368
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- 1664-235X
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- 10.1007/s13324-020-00371-6
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In this paper we study the spectra of bounded self-adjoint linear operators that 2 2 are related to ﬁnite Hilbert transforms H : L ([b , 0]) → L ([0, b ]) and L L R 2 2 H : L ([0, b ]) → L ([b , 0]). These operators arise when one studies the interior R R L problem of tomography. The diagonalization of H , H has been previously obtained, R L but only asymptotically when b =−b . We implement a novel approach based on L R the method of matrix Riemann–Hilbert problems (RHP) which diagonalizes H , H R L explicitly. We also ﬁnd the asymptotics of the solution to a related RHP and obtain error estimates. Keywords Diagonalization of integral operators with continuous spectrum · Finite Hilbert transforms on multi intervals · Spectral theory of ﬁnite Hilbert transforms · Riemann–Hilbert problem · Asymptotics of hypergeometric functions Elliot Blackstone elliotb@kth.se Marco Bertola Marco.Bertola@concordia.ca Alexander Katsevich Alexander.Katsevich@ucf.edu Alexander Tovbis Alexander.Tovbis@ucf.edu Department of Mathematics and Statistics, Concordia University, 1455 de Maisonneuve W., Montréal, Québec H3G 1M8, Canada SISSA, International School for Advanced Studies, Via Bonomea 265, Trieste, Italy Department of Mathematics, KTH Royal Institute of Technology, Lindstedtsvägen 25, 114 28 Stockholm, Sweden Department of Mathematics, University of Central Florida, P.O. Box 161364, 4000 Central Florida Blvd, Orlando, FL 32816-1364, USA 0123456789().: V,-vol 27 Page 2 of 59 M. Bertola et al. Contents 1 Introduction ............................................... 2 Integral operator K and RHP ...................................... ∗ ∗ 3 Spectral properties and diagonalization H H and H H ...................... R L R L 4 Diagonalization of H , H via Titchmarsh–Weyl theory ....................... R L 5 Small λ asymptotics of Γ(z; λ) ..................................... Appendix .................................................. Appendix A: Construction of Γ(z; λ) ................................... Appendix B: Deﬁnition and properties of a(λ) ............................... Appendix C: Properties of d (z; λ), d (z; λ) ............................... L R Appendix D: Proof of Theorem 14 ..................................... References .................................................. 1 Introduction Let I , I ⊂ R be multiintervals, i.e. the unions of ﬁnitely many non-overlapping 1 2 intervals (but the sets I , I can overlap). The intervals can be bounded or unbounded. 1 2 Consider the Finite Hilbert transform (FHT) and its adjoint: 1 f (x ) 2 2 ∗ 2 2 H : L (I ) → L (I )(H f )(y) = dx ; H : L (I ) → L (I ), 1 2 2 1 π x − y 1 g(y) (H g)(x ) = dy. (1) π x − y The general problem we consider is to study the spectral properties of H (and the ∗ ∗ associated self-adjoint operators H H, HH ) depending on the geometry of the sets I , I . The properties we are interested in include ﬁnding the spectrum, establishing 1 2 the nature of the spectrum (e.g., discrete vs. continuous), and ﬁnding the associated resolution of the identity. In the case when I = I , these problems were studied 1 2 starting in the 50s and 60s, see e.g. [20–22,27–29,33]. ∗ ∗ More recently, the problem of the diagonalization of H H and HH occurred when solving the problem of image reconstruction from incomplete tomographic data, e.g. when solving the interior problem of tomography [4,8,23,34–36]. In these applications, a signiﬁcant diversity of different arrangements of I , I was encountered: the two 1 2 sets can be disjoint (i.e., dist(I , I )> 0), touch each other (i.e., have a common 1 2 endpoint), or overlap over an interval. Each of these arrangements leads to different spectral properties of the associated FHT. Generally, if dist(I , I )> 0, the operators 1 2 ∗ ∗ H H and HH are Hilbert–Schmidt with discrete spectrum [6,17]. In one particular case of overlap, when I =[a , a ], I =[a , a ], a < a < a < a , the spectrum 1 1 3 2 2 4 1 2 3 4 is discrete, but has two accumulation points: λ = 0 and λ = 1[3,4], where λ denotes the spectral parameter. In two cases when I , I touch each other, the spectrum is 1 2 purely absolutely continuous. The case I =[a , a ], I =[a , a ], a < a < a , 1 1 2 2 2 3 1 2 3 was considered in [19]. The case when I , I are unions of more than one sub-interval 1 2 each and I ∪ I = R was considered in [7]. 1 2 To obtain the above mentioned results, three methods have been employed. In very few exceptional cases, e.g. when I ∪ I = R, it is possible to diagonalize the FHT 1 2 Diagonalization of the ﬁnite Hilbert transform on two… Page 3 of 59 27 explicitly via some ingenious transformations. When I , I each consist of a single 1 2 interval (the intervals can be separated, touch, or overlap), the method of a commuting differential operator is used [3,4,17–19]. Here the associated singular functions (and kernels of the unitary transformations) are obtained as solutions of the special Sturm- Liouville problems for the differential operator that commutes with the FHT. As is seen, both of these approaches are fairly limited. In [6], a new powerful approach based on the method of the Riemann–Hilbert Prob- lem (RHP) and the nonlinear steepest descent method of Deift–Zhou was proposed. This approach allows one to treat fairly general cases of I , I . However, the limita- 1 2 tion of this approach so far was the assumption dist(I , I )> 0, which ensured that 1 2 ∗ ∗ the associated operators H H and HH are Hilbert–Schmidt. In the case when I , I touch each other, the RHP approach encountered several challenges that have not been studied before. Here are the three main ones: 1. In the case of a purely discrete spectrum, residues are used to compute singular functions in [6]. However, in the limit dist(I , I ) → 0 the spectra of the operators 1 2 change from discrete to continuous. Thus, a different technique is needed to extract the spectral properties of the FHT from the solution of the corresponding RHP; 2. Construction of small λ approximations of the RHP solution near the common endpoints (parametrices) was not known, and it had to be developed; 3. The proper boundary conditions near the common endpoints in the formulation of the RHP was not well understood. As stated earlier, in the particular case when I =[a , a ], I =[a , a ], a < 1 1 2 2 2 3 1 a < a , the spectral analysis of the FHT was performed in [19]. Since the method in 2 3 [19] is based on a commuting differential operator, this method cannot be extended to more general situations of touching intervals, for example, to the case when I consists of two disjoint intervals. The goal of this paper is to extend the RHP and Deift–Zhou approach from [6] to the case when I , I touch each other. This problem in its most 1 2 general setting is very complicated. For example, if I , I touch each other at several 1 2 points, the continuous spectrum may have multiplicity greater than 1 (see [7]). If there are also pieces of I that are at a positive distance from I (or, vice versa), then 1 2 there will be discrete spectrum accumulating at λ = 0 embedded in the continuous spectrum. In this paper we build the foundation for using the RHP/Deift–Zhou method by studying the case I =[a , a ], I =[a , a ], a < a < a , as a model example. 1 1 2 2 2 3 1 2 3 Our results include: 1. Formulating the corresponding RHP (including the proper boundary conditions) and explicitly calculating its solution Γ(z; λ) in terms of hypergeometric functions; ∗ ∗ 2. Complete spectral analysis of the operators H H and HH as well as diagonal- ization of the operators H, H ; 3. Calculating the leading order asymptotics of Γ(z; λ) in the limit λ → 0 in various regions of the complex z plane. These regions include, in particular, a small annulus centered at the common endpoint a . 4. Finally, we also show that the spectral asymptotics of [19] match the explicit spectral results of this paper. The asymptotics in the annulus around a from Item 3 allows us to use Γ(z; λ) as a parametrix near any common endpoint for more general multiintervals I , I . 1 2 27 Page 4 of 59 M. Bertola et al. This parametrix is the key missing link that is needed to construct the leading order asymptotics of Γ(z; λ) for the general I , I . This will be the subject of future research. 1 2 The paper is organized as follows. In Sect. 2 we introduce the integral operator 2 2 K : L ([b , b ]) → L ([b , b ]), b < 0 < b , L R L R L R 2 2 1 1 which, when restricted to L ([b , 0]) and L ([0, b ]), coincides with H and H , L R L R 2i 2i 2 2 respectively (see equation (3)). Here H is the FHT from L ([b , 0]) → L ([0, b ]), L L R 2 2 and H is the FHT from L ([0, b ]) → L ([b , 0]). In the spirit of the above notation, R R L we have a = b , a = 0, and a = b . It can easily be shown that the knowledge of 1 L 2 3 R 2 ∗ ∗ the spectrum of K allows one to ﬁnd the spectra of H H and H H . Similarly to L R L R the case of disjoint intervals studied in [5], the key observation is that the kernel K of K,see (4), is a kernel of integrable type in the sense of [16]. Therefore, the kernel of ˆ ˆ the resolvent R of K is readily available in terms of the solution Γ(z; λ) of the matrix RHP 1. Thus, RHP 1 plays a fundamental role in our paper. Because the jump matrix of this RHP is constant in z, its solution Γ(z; λ) satisﬁes a Fuchsian system of linear differential equations with three singular points and, therefore, can be expressed in terms of hypergeometric functions. An explicit expression for Γ(z; λ) is obtained in Theorem 1. Using this expression, we show that the matrix Γ(z; λ) is analytic for λ ∈ C\[−1/2, 1/2] and has analytic continuations across (−1/2, 0) and (0, 1/2) from above and from below (Proposition 2). In Sect. 3 we explicitly ﬁnd the unitary operators U : L ([b , 0]) → L L 2 2 2 L ([0, 1],σ ) and U : L ([0, b ]) → L ([0, 1],σ ), which diagonalize the oper- χ R R χ L R ∗ ∗ ators H H and H H , respectively, see Theorem 8.Here σ , σ denote the L R χ χ L R L R corresponding spectral measures. We prove in Theorems 6 and 7 that the spectrum of ∗ ∗ the operators H H and H H is simple, purely absolutely continuous, and consists L R L R of the interval [0, 1]. Our approach is based on the resolution of the identity Theorem 3 (see, for example, [2]) and explicit calculation of the jump of the kernel of the resol- vent R over the spectral set in terms of the hypergeometric functions (Theorem 5). In the process, we ﬁnd that Γ(z; λ) satisﬁes the jump condition in the spectral variable 1 1 λ over the segment [− , ], see Theorem 4, which, in some sense, is dual to the jump 2 2 condition in the z variable, see RHP 1. This observation is a RHP analogue of certain bispectral problems [15]. The spectrum and diagonalization of the operators H , H was studied in [19], L R where the authors used a second order differential operator L,see (90), which com- mutes with H and H . The Titchmarsh-Weyl theory was utilized in [19] to obtain L R the small-λ asymptotics of the unitary operators U , U that diagonalize H , H , 1 2 L R ∗ ∗ i.e. U H U and U H U are multiplication operators. In Sect. 4, we construct the 2 L 1 R 1 2 operators U , U ,see (115), (116), explicitly in terms of the hypergeometric func- 1 2 tions everywhere on the continuous spectrum. We also show, see Theorem 13, that ∗ ∗ the diagonalization of H H and H H , obtained in Sect. 3, is equivalent to the L R L R diagonalization obtained through the operators U , U . 1 2 In Sect. 5 we obtain the leading order behavior of Γ(z; λ) as λ → 0 in different regions of the complex z-plane, see Theorem 17. The main tool we use here is the Deift– Zhou nonlinear steepest descent method combined with the g-function mechanism, Diagonalization of the ﬁnite Hilbert transform on two… Page 5 of 59 27 which reduces (asymptotically) the original RHP 1 for Γ(z; λ) to the so called model RHP 4 for Ψ(z). The latter represents the leading order approximation of Γ(z; λ) on 1 1 compact subsets of C\[− , ]. Since the jump matrices in RHP 4 commute with each 2 2 other, the model RHP has a simple algebraic solution (Theorem 16). However, due to a singularity at the common endpoint z = 0, this solution is not unique. In order to select the appropriate Ψ(z), we need to match it with the leading order behavior of Γ(z; λ) as λ → 0 in a small annulus centered at z = 0, which is derived in Theorem 15.This, in turn, requires calculating the leading order approximation of the hypergeometric function F (a, b; c; η), where the parameters a, b, c go to inﬁnity in a certain way as λ → 0. Moreover, this approximation must be uniform in a certain large radius annulus Ω in the complex η-plane. Such asymptotics was recently obtained in [26] based on the saddle point method for complex integrals of the type of (133), but error estimates and uniformity needed for our purposes were not addressed there. Thus, we state and prove Theorem 14 for such complex integrals. Details of the construction of Γ(z; λ), the proof of Theorem 14, and other auxiliary material can be found in the Appendix. 2 Integral operator K and RHP 2 2 Let us begin by deﬁning the ﬁnite Hilbert transforms H : L ([b , 0]) → L ([0, b ]) L L R 2 2 and H : L ([0, b ]) → L ([b , 0]) by R R L 0 b 1 f (x ) 1 g(y) H [ f ](y) := dx , H [g](x ) := dy. (2) L R π x − y π y − x b 0 Notice that the adjoint of H is −H . L R 2.1 Definition and properties of K 2 2 We deﬁne the integral operator K : L ([b , b ]) → L ([b , b ]) by the requirements L R L R 1 1 ˆ ˆ K = H , K = H . (3) 2 L 2 R L ([b ,0]) L ([0,b ]) L R 2i 2i Explicitly, χ (x )χ (z) + χ (x )χ (z) L R R L K [ f ](z) := K (z, x ) f (x ) dx , where K (z, x ) := 2πi (x − z) (4) and χ ,χ are indicator functions on [b , 0], [0, b ], respectively. L R L R 2 2 Proposition 1 The integral operator K : L ([b , b ]) → L ([b , b ]) is self-adjoint L R L R and bounded. Proof The boundedness of K follows from the boundedness of the Hilbert transform on L (R) and we can see that K is self-adjoint because K (z, x ) = K (x , z). 27 Page 6 of 59 M. Bertola et al. 2.2 Resolvent of K and the Riemann–Hilbert problem The operator K falls within the class of “integrable kernels” (see [16]) and it is known that its spectral properties are intimately related to a suitable Riemann–Hilbert ˆ ˆ problem. In particular, the kernel of the resolvent integral operator R = R(λ) : 2 2 L ([b , b ]) → L ([b , b ]), deﬁned by L R L R ˆ ˆ (I + R(λ)) I − K = I , (5) can be expressed through the solution Γ(z; λ) of the following RHP. Riemann–Hilbert Problem 1 Find a 2×2 matrix-function Γ(z; λ), λ ∈ C\[−1/2, 1/2], analytic for z ∈ C\[b , b ] and satisfying L R 1 − Γ(z ; λ) = Γ(z ; λ) , z ∈[b , 0], (6) + − L Γ(z ; λ) = Γ(z ; λ) , z ∈[0, b ], (7) + − R Γ(z; λ) = O (1) O (log(z − b )) , z → b , (8) L L Γ(z; λ) = O (log(z − b )) O (1) , z → b , (9) R R Γ(z; λ) ∈ L ([b , b ]), (10) L R −1 Γ(z; λ) = 1 + O z , z →∞, (11) where 1 denotes the identity matrix. The endpoint behavior of Γ(z; λ) is described column-wise, the intervals (b , 0) and (0, b ) are positively oriented, and z denotes L R ± the values on the positive/negative side of the jump contour (b , b ) respectively. L R As described in Appendix A, we are able to construct the solution of RHP 1 in terms of the hypergeometric functions a, a + 1 1 aπi −a h (z) := e z F ⇒ h (z) ∞ 2 1 2a + 2 z a + 1, a + 1 1 aπi −a−1 =−ae z F , (12) 2 1 2a + 2 z a+1 z −a − 1, −a 1 s (z) := − F ⇒ s (z) ∞ 2 1 aπi e −2a z a + 1 −a, −a 1 = z F , (13) 2 1 aπi −e −2a z where h , s are linearly independent solutions of the ODE ∞ ∞ z(1 − z)w (z) + a(a + 1)w(z) = 0, (14) Diagonalization of the ﬁnite Hilbert transform on two… Page 7 of 59 27 and a = a(λ), where 1 i + 4λ − 1 a(λ) := ln . (15) i π 2λ The principle branch of the log is taken and 4λ − 1 = 2λ + O (1) as λ →∞, so it can be shown that a(λ) is analytic for λ ∈ C\[−1/2, 1/2]. This function a(λ) will occur frequently throughout this paper so we have listed its relevant properties in Appendix B. We will often write a in place of a(λ) for convenience. Recall that the standard Pauli matrices are 01 0 −i 10 σ = ,σ = ,σ = . (16) 1 2 3 10 i 0 0 −1 In Appendix A, we describe how to construct the (unique!) solution to RHP 1. Theorem 1 For λ ∈ C\[−1/2, 1/2], the unique solution to RHP 1 is b b L R −1 −1 ˆ z(b −b )(a+1) ˆ R L Γ(z; λ) = σ Q (λ)Γ (M (∞)) Γ (M (z)) Q(λ)σ , (17) 2 1 1 2 b (z−b ) R L where M (z) = and z(b −b ) R L aπi − tan(aπ) 0 1 e Q = , Γ(a+3/2)Γ (a+1/2) 2a+1 aπi aπi 04 e −e 1 Γ(a)Γ (a+2) h (z) s (z) ∞ ∞ Γ(z) = . (18) h (z) s (z) ∞ ∞ Here a := a(λ) which is deﬁned in (15) and h , s are deﬁned in (12),(13). ∞ ∞ Remark 1 For any λ ∈ C\[−1/2, 1/2], the function Γ(z; λ) has the symmetries Γ(z; λ) = Γ(z; λ), σ Γ(z;−λ)σ = Γ(z; λ) (19) 3 3 which follow from the observation that σ Γ(z;−λ)σ and Γ(z; λ) also solve RHP 1. 3 3 Proposition 2 The matrix Γ(z; λ), deﬁned in (17), is analytic for λ ∈ C\[−1/2, 1/2] and can be analytically continued across the intervals (−1/2, 0) and (0, 1/2) from above and from below. Proof Recall from [24] 15.2 that the hypergeometric function F (a, b; c; z) (here a, b, c are generic parameters) is an entire function of a, b and meromorphic in c with poles at non positive integers. It easy to see that Γ(z; λ) is analytic for λ ∈ C\[−1/2, 1/2] because a(λ) is analytic and |[a(λ)]| < for λ ∈ C\[−1/2, 1/2]. Note that a(λ) = 0 only for λ =∞, so we can see that the second row of Q(λ) has a simple zero when λ =∞ and the second column of Γ(z,λ) has a simple pole when λ =∞. Thus the 27 Page 8 of 59 M. Bertola et al. product Γ(z,λ)Q(λ) = O (1) as λ →∞ so Γ(z; λ) is analytic at λ =∞ as well. Using Appendix B, we can see that a(λ) ∈ / R for λ ∈ (−1/2, 0) ∪ (0, 1/2). Thus, Γ(z; λ) can be analytically continued across the intervals (−1/2, 0) and (0, 1/2) from above and from below (but these continuations do not coincide on (−1/2, 0) and on (0, 1/2)). We now show the relation between K and Γ(z; λ). ˆ ˆ Theorem 2 With the resolvent operator R deﬁned by (5), let the kernel of R be denoted by R. Then, t −1 g (x )Γ (x ; λ)Γ (z; λ)f (z) 1 i χ (z) R(z, x ; λ) = where f (z) = , χ (z) 2πi λ(z − x ) R −i χ (x ) g (x ) = . (20) χ (x ) The matrix Γ(z; λ) is deﬁned in (17) and functions χ ,χ are indicator functions on L R [b , 0], [0, b ], respectively. L R Theproof is thesameasin[6] (Lemma 3.16) so it will be omitted here. An important ingredient of the proof is the observation that the jump of Γ(z; λ) can be compactly written as Γ(z ; λ) = Γ(z ; λ) 1 − f (z)g (z) (21) + − 1 for z ∈[b , b ] and L R f (z)g (x ) K (z, x ) = , (22) 2πi (x − z) where K (z, x ) is the kernel of K,see (4). ∗ ∗ 3 Spectral properties and diagonalization H H and H H R L 2 2 The goal of this section is to construct unitary operators U : L ([0, b ]) → L (J,σ ) R R R 2 2 and U : L ([0, b ]) → L (J,σ ) such that L R L ∗ ∗ 2 ∗ ∗ 2 U H H U = λ , U H H U = λ (23) R R L L R R L L 2 2 where λ is a multiplication operator (the space is clear by context), J := {λ : 0 ≤ λ ≤ 1}, and the spectral measures σ ,σ are to be determined. This is to be L R 2 2 understood in the sense of operator equality on L (J,σ ), L (J,σ ), respectively. R L We will begin this section with a brief summary of the spectral theory for a self-adjoint operator with simple spectrum. Diagonalization of the ﬁnite Hilbert transform on two… Page 9 of 59 27 3.1 Basic facts about diagonalizing a self-adjoint operator with simple spectrum For an in-depth review of the spectral theorem for self-adjoint operators, see [2,11,32]. We present a short summary of this topic which is directly related to the needs of this paper. Let K be a Hilbert space and let A be a self-adjoint operator with simple spectrum acting on K. Recall from [2], that a self-adjoint operator has simple spectrum if there is a vector g ∈ K so that the span of E [g], where Δ runs through the set of all subintervals of the real line, is dense in K. Here the family of operators E denotes the so-called resolution of the identity for the operator A, which we deﬁne in (25). Deﬁne R, the resolvent of A, via the formula −1 R(t ) = (tI − A) (24) for t ∈ / R. Then, according to [11] p.921, the resolution of the identity is computed by the formula β−δ −1 ˆ ˆ ˆ ˆ ˆ E := E − E = lim lim R(t + i ) − R(t − i ) dt , (25) (α,β) β α + + 2πi →0 δ→0 α+δ where α< β. Once we obtain E , we can construct the unitary operators which will diagonalize A, as described in the following Theorem from [2] p.279. Theorem 3 If A is a self-adjoint operator with simple spectrum, if g is any generating element, and if σ(t ) =E [g], g, then the formula ˜ ˆ f = f (t ) d E [g] (26) associates with each function f ∈ L (R,σ ) a vector f ∈ K, and this correspondence is an isometric mapping of L (R,σ ) onto K. It maps the domain D(Q) of the multi- plication operator Q in L (R,σ ) into the domain D(A) of the operator A, and if the element f ∈ D(A) corresponds to the function f ∈ L (R,σ ), then the element A f corresponds to the function t f (t ). Remark 2 In short, Theorem 3 says that σ(t ) := E [g], g deﬁnes the spectral mea- ∗ 2 sure (g is any generating element) and the operator U : L (R,σ ) → K deﬁned by ˜ ˜ ˆ U [ f ](x ) := f (t ) d E [g](x ; t ) (27) is unitary. Moreover, UAU = t (28) in the sense of operator equality on L (R,σ ). Thus our immediate goal moving forward is to construct the resolution of the ∗ ∗ identity for H H and H H . R L R L 27 Page 10 of 59 M. Bertola et al. ∗ ∗ 3.2 Resolution of the identity for H H and H H R L R L From (25), knowledge of the resolvent operator is paramount. We are able to express ∗ ∗ the resolvents of H H , H H in terms of the resolvent of K . R L R L ∗ ∗ Proposition 3 The resolvent of H H and H H is R L R L −1 2 ∗ R (λ ) := I − H H = I + π R(λ/2)π , (29) R R R R −1 2 ∗ R (λ ) := I − H H = I + π R(λ/2)π , (30) L L L L 2 2 2 2 where π : L ([b , b ]) → L ([0, b ]), π : L ([b , b ]) → L ([b , 0]) are R L R R L L R L orthogonal projections (i.e. restrictions), R(λ) is deﬁned by the relation (5) and the kernel of R(λ) is computed in Theorem 2. ∗ ∗ Remark 3 The resolvents of H H and H H , deﬁned in (29), (30), slightly differ R L R L from the standard deﬁnition given by (24). It is easy to see that −1 R (λ ) 2 ∗ = λ I − H H , (31) and the same is true for the resolvent of H H . 2 2 2 Proof In the direct sum decomposition L ([b , b ]) = L ([b , 0]) ⊕ L ([0, b ]), K L R L R has the block structure i i ∗ i 0 − H 0 H 0 − H L L ˆ 2 2 2 K = = = . (32) i i i ∗ − H 0 − H 0 H 0 R R 2 2 2 L For λ sufﬁciently large, we can write (recall that K is bounded, see Proposition 1) −1 1 K ˆ ˆ I + R(λ) = I − K = (33) λ λ n=0 where all the even powers in the right hand side of (33) are block diagonal and all the odd powers in (33) are block off-diagonal. The result is extended to all λ/ ∈ R via analytic continuation. Similarly, we can write −1 n 1 H H ∗ R I − H H = (34) 2 2 λ λ n=0 and comparing with the series in (33) gives our result for the resolvent of H H .The proof for the resolvent of H H is nearly identical. L Diagonalization of the ﬁnite Hilbert transform on two… Page 11 of 59 27 To construct the resolution of the identity (see (25)), we need to compute the jump ∗ ∗ of the resolvent of H H and H H in the λ-plane. The kernel of the resolvent is R L R L expressed in terms of Γ(z; λ) (see Theorem 2), so we need to compute the jump of Γ(z; λ) in the λ-plane. Remark 4 In the remaining sections of this paper we will frequently encounter the following Möbius transformations: b (x − b ) b b x R L R L M (x ) = , M (x ) = , (35) 1 2 x (b − b ) x (b + b ) − b b R L R L R L −b (x − b ) x (b − b ) L R R L M (x ) = M (M (x )) = , M (x ) = . (36) 3 1 2 4 x (b − b ) x (b + b ) − 2b b R L R L R L Deﬁne functions d (z; λ) := α(λ)h (M (z)) + β(λ)s (M (z)) , (37) R 1 1 ∞ ∞ aπi −aπi d (z; λ) := −e α(λ)h (M (z)) + e β(λ)s (M (z)) , (38) L 1 1 ∞ ∞ where h , s is deﬁned (12), (13), a := a(λ) is deﬁned in (15), and coefﬁcients ∞ ∞ α(λ), β(λ) are −aπi a aπi e tan(aπ)Γ (a) 4 e Γ(a + 1/2) α(λ) := ,β(λ) := . (39) a+1 4 Γ(a + 3/2) Γ(a + 2) The functions d , d will play a major role in this section so we have compiled all L R of their relevant properties in Appendix C. Importantly, it is shown that both d (z; λ) and d (z; λ) are single valued when λ ∈ (−1/2, 0).For λ ∈ (−1/2, 0) ∪ (0, 1/2), deﬁne vectors −2b b |λ|(2a (−|λ|) + 1) d (z;−|λ|) R L − f (z,λ) := , sgn(λ)d (z;−|λ|) b − b L R L −sgn(λ)d (z;−|λ|) g (z,λ) := . (40) d (z;−|λ|) We are now ready to compute the jump of Γ(z; λ) in the λ−plane. Theorem 4 For λ ∈ (−1/2, 0) ∪ (0, 1/2), Γ(z; λ ) = Γ(z; λ ) 1 − f (z,λ)g (z,λ) , (41) + − 2 where Γ(z; λ) is deﬁned in (17). Proof The proof is straightforward; we have −1 Γ(z; λ ) = Γ(z; λ )Γ (z; λ )Γ (z; λ ) (42) + − − + 27 Page 12 of 59 M. Bertola et al. −1 and thus we compute Γ (z; λ )Γ (z; λ ) to obtain the stated result. We see from (17) − + that Γ(z; λ) is deﬁned in terms of Γ, Q which are deﬁned in (18). For λ ∈ (−1/2, 0) (standard orientation), we ﬁnd that ˆ ˆ Γ (z,λ ) = Γ (z,λ ) σ , (43) + − 1 − tan(aπ)Γ (a)Γ (a + 2) Q (λ) = σ Q (λ). (44) + 1 − 2πia 2a+1 e 4 Γ(a + 3/2)Γ (a + 1/2) Recall from Proposition 7 that a (λ) + a (λ) =−1for λ ∈ (−1/2, 0) thus the jump + − for Q follows. Then by inspection, we see from (12), (13) h (z, a (λ)) = h (z, −1 − a (λ)) = s (z, a (λ)) (45) ∞ + ∞ − ∞ − so the jump of Γ follows. Now using (17), (43), (44) we obtain −1 Γ (z; λ )Γ (z; λ ) − + b b 2a + 1 L R 01 −1 = 1 − M (z,λ ) M (z,λ ) (46) − − z(b − b ) a(a + 1) R L −1 ˆ ˆ wherewehaveused Γ (M (∞))Q Q Γ (M (∞)) = c (λ)1 and c (λ) is the − 1 − + 1 − − scalar appearing on the right hand side of (44). Here M (z,λ) := Γ (M (z)) Qσ .Let 1 2 m , m denote the (2,1), (2,2) elements of the matrix M, respectively. Then, 21 22 01 m m m m 22 21 22 −1 −1 −1 M M =|M | =|M | m m 21 22 00 −m −m m −m 21 22 21 and, explicitly, aπi aπi ie Γ(a + 3/2) ie Γ(a + 3/2) m (z; λ) = d (z; λ), m (z; λ) = d (z; λ), 21 L 22 R −a−1 −a−1 4 Γ(a) 4 Γ(a) 2πia 2a+1 2 2e 4 Γ a + |M (z; λ)|=− . λa(a + 1)Γ (a) To compute |M | we have used (224). Finally, we calculate 2a + 1 −1 M (z,λ ) M (z,λ ) − − a(a + 1) 2a + 1 m (z; λ ) 22 − = m (z; λ ) m (z; λ ) 21 − 22 − −m (z; λ ) a(a + 1)|M | 21 − d (z; λ) = 2λ (2a + 1) d (z; λ) d (z; λ) − L R −d (z; λ) which can be used to obtain the desired result for λ ∈ (−1/2, 0). Diagonalization of the ﬁnite Hilbert transform on two… Page 13 of 59 27 Now, to calculate the jump of Γ(z; λ) when λ ∈ (0, 1/2), we take advantage of the symmetry Γ(z; λ) = σ Γ(z;−λ)σ ,see Remark 1. For brevity, let 3 3 J (z; λ) := 1 − f (z,λ)g (z,λ). (47) Using (41)for λ ∈ (−1/2, 0), we obtain Γ(z; λ ) = Γ(z; λ )J (z; λ ) (48) + − − only for λ ∈ (−1/2, 0).For λ ∈ (0, 1/2), −1 Γ(z; λ ) = σ Γ(z,(−λ) )σ = σ Γ(z,(−λ) )J (z; (−λ) )σ + 3 − 3 3 + − 3 −1 = Γ(z; λ )σ J (z; (−λ) )σ . (49) − 3 − 3 It can now be veriﬁed that −1 t σ J (z; (−λ) )σ = 1 − f (z,λ)g (z,λ ) (50) 3 − 3 2 − for λ ∈ (0, 1/2). ∗ ∗ Recall from Proposition 3 and Theorem 2 that the resolvents of H H , H H are L R L R expressed in terms of Γ(z; λ). In light of the previous Theorem, we can now compute ∗ ∗ the jump of the resolvents of H H , H H in the λ plane, which is required to L R L R construct the resolution of the identity, see (25). Theorem 5 The kernel of R(λ) is single valued for λ ∈ C\[−1/2, 1/2] and satisﬁes the jump property i χ (z) −i χ (x)χ (x ) f (x,λ)g (z,λ) R L 2 χ (z) R(z, x ; λ ) − R(z, x ; λ ) = (51) + − 2πi λxz for λ ∈ (−1/2, 0) ∪ (0, 1/2), where χ ,χ are the characteristic functions on L R (b , 0), (0, b ) and R(z, x ; λ), f (x,λ), g (z,λ) are deﬁned in (20), (40), respec- L R 2 2 tively. Proof Recall, from (2), that t −1 g (x )Γ (x ; λ)Γ (z; λ)f (z) R(z, x ; λ) = . (52) 2πi λ(z − x ) From Proposition 2 we can see that Γ(z; λ) is single valued for λ ∈ C\[−1/2, 1/2] so from (2) it immediately follows that the kernel of R(λ) is also single valued for λ ∈ C\[−1/2, 1/2].Let Δ F (λ) := F (λ ) − F (λ ) for any F. To prove the result λ + − 27 Page 14 of 59 M. Bertola et al. −1 we need to compute Δ [Γ (x ; λ)Γ (z; λ)].For λ ∈ (−1/2, 0), we calculate (see proof of Theorem 4) b b (x −z) L R −1 −1 xz(b −b )(a+1) R L Γ (x ; λ )Γ (z; λ ) = M (x,λ ) M (z,λ ). (53) − − − − Using M (z,λ ) = c (λ)M (z,λ ), where c (λ) is the scalar found in the right hand + − − − side of (44), b b (x −z) L R −1 −1 xz(b −b )(a+1) R L Γ (x ; λ )Γ (z; λ ) = M (x,λ ) M (z,λ ) + + + + −b b (x −z) L R −1 axz(b −b ) R L = M (x,λ ) M (z,λ ), (54) − − so we have that −b b (x − z)(2a + 1) L R 01 −1 −1 Δ [Γ (x ; λ)Γ (z; λ)]= M (x,λ ) M (z,λ ) λ − − xza(a + 1)(b − b ) R L z − x = f (x,λ)g (z,λ). (55) xz Now for λ ∈ (0, 1/2), we again take advantage of the symmetry Γ(z; λ) = σ Γ(z;−λ)σ ,see Remark 1. The process is the same as in the proof of Theorem 3 3 4. Directly from (20)wehave t −1 g (x )Δ Γ (x ; λ)Γ (z; λ) f (z) λ 1 Δ R(z, x ; λ) = (56) 2πi λ(z − x ) −1 and plugging in our calculation of Δ Γ (x ; λ)Γ (z; λ) gives the result. Remark 5 From Theorem 5 we can immediately see that when λ ∈ (−1/2, 0)∪(0, 1/2) and x , z ∈ (0, b ), b b (2a (−|λ|) + 1) L R − R(z, x ; λ ) − R(z, x ; λ ) = d (x;−|λ|)d (z;−|λ|) (57) + − R R sgn(λ)πxz(b − b ) R L and when x , z ∈ (b , 0), b b (2a (−|λ|) + 1) L R − R(z, x ; λ ) − R(z, x ; λ ) = d (x;−|λ|)d (z;−|λ|), (58) + − L L sgn(λ)πxz(b − b ) R L where d , d are deﬁned in (37). R L ∗ ∗ Proposition 4 The operators H H , H H do not have eigenvalues. R L R L Diagonalization of the ﬁnite Hilbert transform on two… Page 15 of 59 27 ∗ ∗ Proof We will prove this statement for H H only, as the proof for H H is similar. R L R L We show that the resolvent of H H has no poles in the λ plane. Recall from (29) that −1 2 ∗ R (λ ) = I − H H = I + π R(λ/2)π , (59) R R R R and using (2), we can see that the kernel of R is −1 [Γ (x ; λ/2)Γ (z; λ/2)] 1,2 χ (x )χ (z). (60) R R πλ(x − z) Using Proposition 2, we know that Γ(z; λ/2) can (potentially) have a pole only when λ = 0, ±1. Since (60) is single-valued for x , z ∈ (0, b ) and pole-free for 2 2 2 λ ∈ C\{0, ±1}, R (λ ) is pole-free for λ ∈ R\{0, 1}. We can see that λ = 0 is not an eigenvalue of H H because the null space of H contains only the zero R R vector. Likewise, it is easy to see that λ = 1 is not an eigenvalue as well. Otherwise ∗ 2 H H f = f for some f ∈ L ([0, b ]), f ≡ 0, and the contradiction R R ∗ ∗ f 2 =H H f 2 < H H f =H f 2 R R R R L ([0,b ]) L ([0,b ]) L ([b ,0]) R R R R L < H f = f 2 (61) R R L ([0,b ]) proves the desired assertion. Here we used the convention that whenever the norm · is computed, the left-most Hilbert transform inside the norm is evaluated over the entire line. For convenience we deﬁne D (z; λ) := d (z;−|λ|/2), D (z; λ) := d (z;−|λ|/2), (62) R R L L where d , d are deﬁned in (37). Recall from Appendix C that d (z;−|λ|), L R L d (z;−|λ|) are single-valued for λ ∈ (−1/2, 1/2).Now for y ∈[b , 0], x ∈ R L [0, b ],λ ∈[0, 1], deﬁne the kernels D (y; λ) −D (x ; λ) L R 2 2 φ (y,λ ) := ,φ (x,λ ) := . (63) L R π y|λ|D (∞; λ) π x |λ|D (∞; λ) R L 2 2 Using Proposition 8 we can see that φ (y,λ ) = O (1) as y → b and φ (x,λ ) = L L R O 1 as x → b . We can see from (12), (13) that h (M (z)) = O z , ( ) R 1 s (M (z)) = O z as z → 0 whenever λ ∈[0, 1]. Since both D , D are 1 R L 2 −1/2 − linear combinations of h , s ,itfollows that φ (y,λ ) = O y as y → 0 and ∞ ∞ 2 −1/2 + φ (x,λ ) = O x as x → 0 . Also deﬁne the weights 2 2 dσ (λ ) |b |b (a + 1/2) dσ (λ ) |b |b (a + 1/2) L L R R L R 2 2 = D (∞; λ), = D (∞; λ), R L 2 2 dλ i (b − b ) dλ i (b − b ) R L R L (64) 27 Page 16 of 59 M. Bertola et al. 2 2 where a := a (−|λ|/2). Notice that both σ (λ ), σ (λ ) (here ’ denotes differentia- L R 2 2 tion with respect to λ ) are non-negative real analytic for λ ∈ (0, 1), by Propositions 7 and 8. With (25) in mind, we can now prove the following theorem. ∗ ∗ 2 2 Theorem 6 The spectrum of H H , H H is {λ ∈[0, 1]}. Moreover, for 0 ≤ λ ≤ R L R L 2 2 1,g ∈ L ([b , 0]),f ∈ L ([0, b ]), the operators L R λ b 2 2 2 E [ f ](x ) = φ (x,μ )φ (z,μ ) f (z) dzdσ (μ ), (65) R R R R,λ 0 0 λ 0 2 2 2 E 2 [g](x ) = φ (x,μ )φ (z,μ )g(z) dzdσ (μ ), (66) L L L L,λ 0 b where φ ,φ and σ ,σ are deﬁned in (63), (64), respectively, are the resolution of L R L R ∗ ∗ the identity for H H , H H , respectively. R L R L ∗ ∗ Proof We will consider only the operator H H . The proofs for H H are completely R L R L analogous. It follows from Proposition 3 and Theorem 5 that = 0,λ ∈ R\[0, 1] 2 2 R (λ ) − R (λ ) (67) R+ R− = 0,λ ∈[0, 1], ∗ 2 where R is the resolvent of H H ,see (29). Thus the spectral set is {λ ∈[0, 1]}. R R It was shown in Proposition 4 that H H has no eigenvalues. ˆ ˆ Next, we construct E 2. It was shown in Theorem 5 that R(λ) is single-valued R,λ for λ ∈ C\[−1/2, 1/2], thus from (25) and Proposition 3 we have λ −δ −1 1 2 2 2 E = lim lim R (μ + i ) − R (μ − i ) dμ . (68) R R R,λ + + 2πi μ →0 δ→0 We have shown in Proposition 4 that H H has no eigenvalues. According to [2] section 82, the lack of eigenvalues guarantees that E has no points of discontinuity. R,λ Now returning to (68), we can take δ = 0 and we can move the limit inside the integral as the kernel of R has analytic continuation above and below the interval (0, 1).So from (25), (29), and Remark 3 we obtain −1 1 2 2 2 E = R (μ ) − R (μ ) dμ R+ R− R,λ 2πi μ −sgn(μ) ˆ ˆ = π R (μ/2) − R (μ/2) π dμ , (69) R + − R 2πi μ and now plugging in (57) gives the result. Note that Δ 2 R (λ ) = sgn(λ)Δ R(λ/2), R λ because when λ is on the upper shore of (−1, 0), λ is on the lower shore of (0, 1). Diagonalization of the ﬁnite Hilbert transform on two… Page 17 of 59 27 ∗ ∗ 3.3 Nature of the spectrum of H H and H H R L R L ∗ ∗ In this subsection, we show that the spectrum of H H and H H is simple and R L R L purely absolutely continuous. We will prove statements in this section for H H only because the statements and ideas for proofs are nearly identical for H H . Notice that the resolution of the identity of H H [see (65)] can be compactly written as 2 2 2 E 2 [ f ](x ) = φ (x,μ )U [ f ](μ ) dσ (μ ), (70) R R R R,λ where φ ,σ are deﬁned in (63), (64), respectively and the operator U : R R R ∞ ∞ C ([0, b ]) → C ((0, 1)) is deﬁned as 2 2 U [ f ](μ ) := φ (z,μ ) f (z)dz. (71) R R For any interval Δ ⊂[0, 1], which is at a positive distance from 0 and 1 (to avoid the 2 2 singularities of φ (z,μ ) as μ → 0or 1), we have ˆ ˆ ˆ ˆ E [ f ] =E [ f ](·), E [ f ](·)=E [ f ](·), f R,Δ 2 R,Δ R,Δ R,Δ L ([0,b ]) =E [ f ](·), f , f ∈ C ([0, b ]), (72) R,Δ R where we have used that E is a self-adjoint projection operator, see [2] p.214. R,Δ Using (70) and (71), it is easy to show that 2 2 ∞ E [ f ], f = U [ f ](μ ) dσ (μ ) = U [ f ] , f ∈ C ([0, b ]). R,Δ R R R R L (Δ,σ ) (73) By (72) and (73) and by continuity, we can extend U to all of L ([0, b ]) and R R 2 2 E [ f ] = U [ f ] , f ∈ L ([0, b ]). (74) R,Δ R R 2 2 L ([0,b ]) L (Δ,σ ) R R Taking the limit Δ →[0, 1] in (72), (73) and using that E is the resolution of the R,λ identity, the spectrum is conﬁned to [0, 1], and there are no eigenvalues, we prove the following Lemma. 2 2 Lemma 1 The operator U extends to an isometry from L ([0, b ]) → L ([0, 1],σ ). R R R We are now ready to conclude this section. ∗ ∗ Theorem 7 The spectrum of H H , H H is simple and purely absolutely continu- R L R L ous. Proof To prove that the spectrum is simple we will show that g(x ) := χ (x ) (75) R 27 Page 18 of 59 M. Bertola et al. is a generating vector. So for any f ∈ L ([0, b ]) we want to show that lim f − α E [g](x ) = 0, (76) jn R,I jn n→∞ L ([0,b ]) j =1 where α are some constants, and I := [( j − 1)/n, j /n). Thus, the intervals I , jn jn jn 1 ≤ j ≤ n, partition the spectral interval [0, 1]. Using the properties of E 2,we R,λ calculate f (x ) − α E [g](x ) jn R,I jn j =1 2 2 2 2 2 = φ (x,μ ) U [ f ](μ ) − φ (μ )U [g](μ ) dσ (μ ) (77) R R n R R where φ is the simple function 2 2 φ (μ ) = α χ (μ ). (78) n jn I jn j =1 Using the properties of E 2, we can write the left hand side of (77)as R,λ E [ f − α g](x ). (79) R,I jn jn j =1 ˆ ˆ Now using (74), (78), (79), and the fact that E E = 0 whenever Δ ∩ Δ =∅ R,Δ R,Δ j k j k (see [2], p. 214), we see that n n 2 2 ˆ ˆ f − α E [g](x ) = E [ f − α g](x ) jn R,I R,I jn jn jn 2 2 L ([0,b ]) L ([0,b ]) R R j =1 j =1 n n 2 2 = E [ f − α g](x ) = U [ f ]− α U [g] R,I jn 2 R jn R 2 jn L ([0,b ]) L (I ,σ ) R jn R j =1 j =1 = U [ f ]− φ U [g] , (80) R n R 2 L ([0,1],σ ) since the intervals I are disjoint. Now our goal is to show that any U [ f]∈ jn R L ([0, 1],σ ) can be approximated by φ U [g]. Using statement (6) of Proposition 8 R n R in Appendix C and (62), (63), it follows that 2 2 U [g](λ ) = φ (x,λ )g(x )dx = 1. (81) R R 0 Diagonalization of the ﬁnite Hilbert transform on two… Page 19 of 59 27 It is clear that any U [ f ] can be approximated by a sequence of simple function φ , R n so we have ˆ ˜ f − α E [g](x ) = U [ f ]− φ → 0, n →∞, jn R,I R n 2 jn L ([0,1],σ ) L ([0,b ]) j =1 (82) as desired. Thus, the spectrum of H H is simple and g = χ is a generating vector. R R Lastly, to show that the spectrum of H H is purely absolutely continuous, we need to show that the function σ (λ ) := E [ f ], f (83) R,λ is absolutely continuous for any f ∈ C ([0, b ]) (such functions are dense in L ([0, b ])), see [2], Vol. 2, Section 95. Similarly to the proof of Lemma 1,we have 2 2 λ λ 0 2 2 2 2 2 2 2 σ (λ ) = U [ f ](μ ) dσ (μ ) + U [ f ](μ ) dσ (μ ) (84) f R R R R 0 λ ∗ 2 for any λ ∈ (0, 1). The operator H H has no eigenvalues, so σ (λ ) is continuous. 0 R f 2 2 Hence it sufﬁces to show that dσ (λ )/dλ is continuous on any interval [ , 1 − ], 2 2 0 < < 1. Since both dσ (μ )/dμ and the kernel of U are real analytic for R R 2 ∞ μ ∈ (0, 1) (see Proposition 8) and f ∈ C ([0, b ]), the desired assertion follows immediately. ∗ ∗ 3.4 Diagonalization of H H and H H R L R L We are now ready to use Theorem 3 and build the unitary operators which will diago- ∗ ∗ nalize H H and H H . Recall from Theorem 7 that χ ,χ are generating vectors R L R L R L ∗ ∗ for H H , H H , respectively. Following Theorem 3 and Remark 2, we deﬁne R L R L ∗ 2 2 ∗ 2 2 U : L ([0, 1],σ ) → L ([b , 0]) and U : L ([0, 1],σ ) → L ([0, b ]) by χ L χ R L L R R 1 1 ∗ 2 ∗ 2 ˆ ˜ ˜ ˆ U [˜ g](y) := g ˜(λ ) d E 2 [χ ](y), U [ f ](x ) := f (λ ) d E 2 [χ ](x ), L R L,λ R,λ L R 0 0 (85) ∗ ∗ ˆ ˆ where E 2 , E 2 are the resolutions of the identity for H H , H H , respectively, L R L,λ R,λ L R 2 2 see (65), (66). The spectral measures are σ (λ ) := E [χ ],χ and σ (λ ) := χ L L χ L L,λ R E [χ ],χ . R R R,λ Remark 6 Using Proposition 8, it can be veriﬁed that 2 2 2 2 dσ (λ ) dσ (λ ) dσ (λ ) dσ (λ ) χ χ L R L R = , = , (86) 2 2 2 2 dλ dλ dλ dλ 27 Page 20 of 59 M. Bertola et al. 2 2 2 where σ (λ ), σ (λ ) (here denotes differentiation with respect to λ ) are deﬁned L R in (64). Remark 7 Again, using Proposition 8, it can be veriﬁed that 1 1 ∗ 2 2 ∗ 2 2 ˜ ˜ U [˜ g](y) = φ (y,λ)g ˜(λ ) dσ (λ ), U [ f ](x ) = φ (x,λ) f (λ ) dσ (λ ), L L R R L R 0 0 (87) where φ ,φ are deﬁned in (63). It is now clear that the adjoint of U , deﬁned in L R R (71), is U , and 2 2 U [g](λ ) = φ (y,λ )g(y) dy. (88) L L We conclude this section with the following main result. 2 2 2 Theorem 8 The operators U : L ([0, b ]) → L ([0, 1],σ ),U : L ([b , 0]) → R R R L L L ([0, 1],σ ), deﬁned in (71), (88), respectively, are unitary and ∗ ∗ 2 ∗ ∗ 2 U H H U = λ , U H H U = λ (89) R R L L R R L L 2 2 in the sense of operator equality on L ([0, 1],σ ),L ([0, 1],σ ), respectively, where R L λ is to be understood as a multiplication operator. ∗ ∗ Proof We state the proof for H H only as the proof for H H is nearly identical. R L R L The resolution of the identity of H H was constructed in Theorems 6 and in Theorem 7 it was shown that the spectrum of H H is simple and χ is a generating vector. R R Notice that both U , deﬁned in (85), and σ = σ , deﬁned in (64), were constructed χ R R R in accordance with Theorem 3 and Remark 2. The combination of Remarks 6, 7 and Theorem 3 complete the proof. We later obtain a different proof of this Theorem, see Corollary 1 and Theorem 13. 4 Diagonalization of H , H via Titchmarsh–Weyl theory R L Using recent developments in the Titchmarsh-Weyl theory obtained in [13], it was shown in [19] that the operator b + b R L Lf (x ) := P(x ) f (x ) + 2 x − f (x ), P(x ) := x (x − b )(x − b ) L R (90) has only continuous spectrum and commutes with the FHTs H , H , deﬁned in (2). L R We now state the main result of [19] and refer the reader to this paper for more details. Diagonalization of the ﬁnite Hilbert transform on two… Page 21 of 59 27 2 2 2 Theorem 9 The operators U : L ([b , 0]) → L (J,ρ ) and U : L ([0, b ]) → 1 L 1 2 R 2 2 2 L (J,ρ ), where J = (b + b )/8, ∞ , are isometric transformations. Moreover, L R in the sense of operator equality on L (J,ρ ) one has U H U = σ(ω), (91) 2 L where −b 1 −δ −1/2 σ(ω) = 1 + O ,ω →∞, = ω , (92) b cosh(μ(ω)π ) 2 1 ω−(b +b ) /8 L R 1 1 −δ μ(ω) = − , ρ (ω) = 1 + O , ρ (ω) = −b b 4 1 2 L R b (b −b ) R L 1 −δ 1 + O , and 0 <δ << 1 is ﬁxed. b (b −b ) R L There is a minor typo in this theorem in [19]; when describing σ(λ), the factor is incorrect and should be − . The operators U , U in Theorem 9 were obtained 1 2 asymptotically when ω →∞. Here we obtain these operators explicitly. According to [13], the kernels of U , U and the spectral measures ρ ,ρ are deﬁned through 1 2 1 2 particular solutions of Lf = ω f . Such solutions will be constructed in the following subsections. 4.1 Interval [0, b ] Deﬁne the function i μ i μ 1 3 b (b − b ) + , + R R L − +i μ 4 2 4 2 2 f (x,ω) := M (x ) F M (x ) , R 4 2 1 x (b + b ) − 2b b 1 + i μ R L R L (93) where M (x ) and μ are deﬁned in Remark 4 and Theorem 9, respectively. Notice that M (x ) maps b →−1, 0 → 0, b → 1. If we take b =−b = a in (93), where a 4 L R R L is a constant, we obtain (4.9) of [19]. Now deﬁne ϕ (x,ω) := kf (x,ω) + k f (x,ω), ϑ (x,ω) := l f (x,ω) + l f (x,ω), 2 R 2 2 R 2 R R (94) where Γ(−i μ) k := , 1 i μ 3 i μ Γ − Γ − 4 2 4 2 k 1 −b l := 2γ + 2Ψ − i μ + ln . (95) 2 b (b − b ) b (b − b ) R L R R L Here γ is Euler’s constant and Ψ is the Digamma function, see [1] 6.3.1. 27 Page 22 of 59 M. Bertola et al. Remark 8 Using properties of the Gamma functions, see [1] 6.1.30, it can be shown that coth(μπ ) |k| = , (96) 2πμ provided μ ≥ 0. Remark 9 Notice that if we take 1 (b + b ) R L i μ(ω) = a + ⇒ ω = + b b a(a + 1) (97) L R 2 8 2 2 for λ ∈[−1, 1] (this implies μ ∈[0, ∞) iff ω ∈[(b + b )/8, ∞)), where a := L R a (−|λ|/2), it can be veriﬁed via [1] 15.3.16 that −b α(−|λ|/2) −b β(−|λ|/2) R R √ h (M (x )) = kf (x,ω), √ s (M (x )) = k f (x,ω) 1 R 1 ∞ ∞ R x π x π (98) where M (x ) is deﬁned in Remark 4, α, β and h , s are deﬁned in (39) and (12), ∞ ∞ (13), respectively. This relation immediately implies that −b ϕ (x,ω) = √ D (x,λ) (99) 2 R x π for λ ∈[−1, 1],see (62)for D (x,λ). Theorem 10 The functions ϕ ,ϑ deﬁned in (94) satisfy the following properties: 2 2 2 2 1. For x ∈[0, b ] and ω ∈[(b + b )/8, ∞), ϕ (x,ω), ϑ (x,ω) are linearly R 2 2 L R independent solutions of L f = ω f , where L is deﬁned in (90), 2. ϕ (x,ω), ϑ (x,ω) ∈ R, for all x ∈[0, b ], ω ∈ R, 2 2 R 3. P(x )ϕ (x,ω) → 0 as x → b , 2 R 4. P(x )W (ϑ (x,ω), ϕ (x,ω)) = 1 for all x ∈[0, b ], ω ∈ C, x 2 2 R 5. lim P(x )W (ϑ (x,ω), ϕ (x,ω )) = 1 for all ω, ω ∈ C. x 2 2 x →b Proof 1. By deﬁnition, ϕ ,ϑ are linear combinations of f and f , which can 2 2 R be expressed in terms of h , s ,see Remark 9. Recall that h (x ), s (x ) are ∞ ∞ ∞ ∞ 1 1 solutions of (14). It can now be veriﬁed that h (M (x )) , s (M (x )) are 1 1 ∞ ∞ x x solutions of (b + b ) L R L[g](x ) = + b b · a(a + 1) g(x ), (100) L R where a := a (−|λ|/2). Thus ϕ ,ϑ solve Lf = ω f for x ∈[0, b ] and ω ∈ − 2 2 R 2 2 [(b + b )/8, ∞).Toshow ϕ ,ϑ are linearly independent, we compute their 2 2 L R Wronskian. It is a simple exercise to show that W [ϑ ,ϕ ]= 2i [kl ]W [ f , f ]. (101) x 2 2 2 x R R Diagonalization of the ﬁnite Hilbert transform on two… Page 23 of 59 27 Using Remark 8,[1] 6.3.12 and Remark 9,(210), (224), it can be veriﬁed that −1 i μb (b − b ) R L [kl ]= , W [ f , f ]= . (102) 2 x R P(x ) 2μb (b − b ) R L Thus ϕ ,ϑ are linearly independent since W [ϑ ,ϕ ]= 1/P(x ). 2 2 x 2 2 2. This is clear by the deﬁnition of ϑ ,ϕ ,see (94). 2 2 3. This follows from Remark 9 and Proposition 8 because D (x,λ) is analytic at x = b . Moreover, using [1] 15.3.6, it can be shown that ϕ (b ,ω) = 1. R 2 R 4. We have previously shown that P(x )W [ϑ (x,ω), ϕ (x,ω)]= 1for x ∈ (0, b ), x 2 2 R 2 2 ω ∈[(b + b )/8, ∞). This can be extended to the entire complex ω plane. L R 2 2 5. Using [1] 15.3.6, 15.3.10 and Remark 9,for ω ∈ ((b +b )/8, ∞) (which implies L R μ ∈ (0, ∞)), we have ϕ (x,ω) = 1 + O x − b ,ϑ (x,ω) =−2[i μl k] ln(b − x ) + o(1) ( ) 2 R 2 2 R (103) 2 2 as x → b . Thus for ω, ω ∈ ((b + b )/8, ∞) we have R L R 2[i μl k] W ϑ (x,ω), ϕ (x,ω ) = + O (ln(b − x )) (104) x 2 2 R b − x as x → b .Soby (104), lim P(x )W ϑ (x,ω), ϕ (x,ω ) = 1, (105) x 2 2 x →b 2 2 which holds for ω, ω ∈ ((b +b )/8, ∞), and can be extended to any ω, ω ∈ C. L R 4.2 Interval [b , 0] This subsection will be similar to the last so many proofs will be omitted, as the ideas have been previously presented. Deﬁne the function i μ i μ 1 3 −b (b − b ) 1 + , + L R L − +i μ 4 2 4 2 2 f (x,ω) := (−M (x )) F M (x ) , L 4 2 1 x (b + b ) − 2b b 1 + i μ R L R L (106) where M (x ) and μ(ω) are deﬁned in Remark 4 and Theorem 9, respectively. Now deﬁne ϕ (x,ω) := kf (x,ω) + k f (x,ω), ϑ (x,ω) := l f (x,ω) + l f (x,ω), 1 L 1 1 L 1 L L (107) 27 Page 24 of 59 M. Bertola et al. where k is deﬁned in (95) and k 1 −b l := 2γ + 2Ψ − i μ + ln . (108) 2 b (b − b ) b (b − b ) R L L R L Remark 10 The functions f , f , deﬁned in (106), (93), respectively, share the relation L R b f (M (x ), ω) R 2 = f (x,ω), (109) x (b + b ) − b b R L L R where M (x ) is deﬁned in (4). This relation combined with Remark 9 shows that b M (x ) −b L 2 L ϕ (x,ω) = ϕ (M (x ), ω) = √ D (x,λ), (110) 1 2 2 L b x x π where D ,ϕ are deﬁned in (62), (94), respectively, and the relation between ω and L 2 λ is described in (97). Theorem 11 The functions ϕ ,ϑ deﬁned in (94) satisfy the following properties: 1 1 2 2 1. For x ∈[b , 0] and ω ∈[(b + b )/8, ∞), ϕ (x,ω), ϑ (x,ω) are linearly L 1 1 L R independent solutions of L f = ω f , where L is deﬁned in (90), 2. ϕ (x,ω), ϑ (x,ω) ∈ R, for all x ∈[b , 0], ω ∈ R, 1 1 L 3. P(x )ϕ (x,ω) → 0 as x → b , 1 L 4. −P(x )W (ϑ (x,ω), ϕ (x,ω)) = 1 for all x ∈[b , 0], ω ∈ C, x 1 1 L 5. lim −P(x )W (ϑ (x,ω), ϕ (x,ω )) = 1 for all ω, ω ∈ C. x 1 1 x →b 4.3 Diagonalization of H , H L R According to the spectral theory developed in [13], we have gathered nearly all the necessary ingredients to diagonalize H , H . It remains to construct two functions L R m (ω) and m (ω) so that 1 2 2 2 ϑ (x,ω) +m (ω)ϕ (x,ω) ∈ L ([b , 0]), ϑ (x,ω) +m (ω)ϕ (x,ω) ∈ L ([0, b ]) 1 1 1 L 2 2 2 R (111) whenever ω> 0. It can be veriﬁed that m =− , j = 1, 2 (112) where l and l , k are deﬁned in (108), (95), respectively. The spectral measures ρ ,ρ 1 2 1 2 are constructed via the formula ρ (ω ) − ρ (ω ) = lim m (s + i ) ds, (113) j 2 j 1 j →0 1 Diagonalization of the ﬁnite Hilbert transform on two… Page 25 of 59 27 for j = 1,2(see [13] for more details). From (113) we obtain tanh(μπ ) tanh(μπ ) ρ (ω) = ,ρ (ω) = , (114) 1 2 2 2 b (b − b ) b (b − b ) R L R L L R wherewehaveused (112), Remark 8, and (102). Deﬁne the operators U : 2 2 2 2 L ([b , 0]) → L (J,ρ ) and U : L ([0, b ]) → L (J,ρ ), where J = L 1 2 R 2 2 2 b +b R L , ∞ ,as U [ f ](ω) := ϕ (x,ω) f (x ) dx , U [ f ](ω) = ϕ (x,ω) f (ω) dρ (ω), 1 1 1 1 b J (115) ˜ ˜ U [ f ](ω) := ϕ (x,ω) f (x ) dx , U [ f ](ω) = ϕ (x,ω) f (ω) dρ (ω), 2 2 2 2 0 J (116) where ϕ ,ϕ are deﬁned in (107), (94), respectively. We are now ready to prove the 1 2 main result of this section. Theorem 12 The operators U , U , deﬁned in (115), (116), are unitary and in the 1 2 2 2 2 sense of operator equality on L (J,ρ ), where J = (b + b )/8, ∞ , one has R L U H U =− sech(μπ ), (117) 2 L where ρ is deﬁned in (114). Proof First, the operators U , U are unitary by [13]. According to Proposition 8 and 1 2 Remark 10, −b D (x ; λ) −b L L L H [ϕ ](y,ω) = H √ (y,ω) = sech(μπ )ϕ (x,ω), (118) L 1 L 2 x π b since (97)impliesthat |λ|= sech(μπ ).Using (118), we calculate that −b ρ (ω) ∗ ∗ 1 ˜ ˜ H U [ f ](x ) = U sech(μπ ) f (ω) (x ) (119) 1 2 b ρ (ω) for any f ∈ L (J,ρ ), which is equivalent to U H U =− sech(μπ ). (120) 2 L Since the adjoint of H is −H , we have an immediate Corollary. L R 27 Page 26 of 59 M. Bertola et al. Corollary 1 In the sense of operator equality on L (J,ρ ) one has ∗ ∗ ∗ 2 U H U = sech(μπ ), U H H U = sech (μπ ), (121) 1 R 1 L 2 L 1 and in the sense of operator equality on L (J,ρ ) one has ∗ ∗ 2 U H H U = sech (μπ ). (122) 2 R R 2 Proof The proof follows quickly from Theorem 12 because ∗ ∗ ∗ ∗ (U H U ) = U H U (123) 2 L 1 1 L 2 and (what follows is the multiplication operator) b b ρ (ω) b R R L − sech(μπ ) =− sech(μπ ) · =− sech(μπ ). (124) b b ρ (ω) b L L R This corollary can be used to recover Theorem 8. We have now obtained two (seem- ∗ ∗ ingly) different diagonalizations of H H and H H in Theorem 8 and Corollary 1. R L R L We show that these diagonalizations are equivalent in the sense of change of spectral variable. Theorem 13 The two diagonalizations of H H obtained in Theorem 8 and Corol- lary1 are equivalent; that is, ∗ 2 ∗ 2 U sech (μπ )U = U λ U (125) 1 L 1 L in the sense of operator equality on L ([b , 0]). The operators U , U are deﬁned L 1 L 2 2 in (115), (88), respectively and sech (μπ ), λ are to be understood as multiplication operators. An identical statement about U and U , deﬁned in (116), (71), respectively, 2 R can be made. Proof We will relate the operators U , U by using the change of variable λ → ω in L 1 (97), which implies that b (a + 1/2) 2 2 2 sech (μ(ω)π ) = λ , dλ = dρ (ω). (126) iπλ b (b − b ) L R L Now using this change of variable, we see that ∗ ∗ 2 ˜ ˜ U [ f ](x ) = U [c(ω) f (sech (μπ )](x ), (127) L 1 where c(ω) =−b π |λ|D (∞; λ). Similarly, L R U [ f ](λ ) = U [ f ](ω). (128) L 1 c(ω) Diagonalization of the ﬁnite Hilbert transform on two… Page 27 of 59 27 So using (127) and (128) we obtain ∗ 2 ∗ 2 U λ U [ f ](x ) = U sech (μπ )U [ f ](x ), (129) L 1 L 1 as desired. 5 Small asymptotics of 0(z; ) In this section we only consider the symmetric scenario when b =−b = 1, but the R L results can be obtained for general endpoints via Möbius transformations. The main results of this section are Theorems 15 and 17, which describes the small λ asymptotics of Γ(z; λ) ﬁrst in a small annulus around z = 0 and then in the rest of C respectively. The proof of Theorem 15 is based on the asymptotics of hypergeometric functions that appear in Γ(z; λ), whereas the prove of Theorem 17 is based on Theorem 15 and the Deift–Zhou nonlinear steepest descent method [10]. Remark 11 Everywhere in this section we consider λ ∈ C\[−1/2, 1/2], where λ on upper/lower shores of [−1/2, 1/2] is also allowed; such values will be denoted by λ respectively. 5.1 Modified saddle point method uniform with respect to parameters According to (17), we are interested in h (η), where z + 1 η = . (130) 2z In view of the integral representation ([1], 15.3.1) a, a + 1 1 Γ(2a + 2) t (1 − t ) aπi −a aπi −a h (η) := e η F = e η dt ∞ 2 1 2a + 2 η Γ(a + 1) 1 − t /η (131) of h (η), given by (12), where a(λ) →∞ as λ → 0, we want to use the saddle point method to ﬁnd the small λ asymptotics of h (η). We start with the case λ ≥ 0 which implies [a]→−∞ as λ → 0, see Appendix B for more information about a(λ). For λ ≤ 0 the results are similar, see Remark 18. With that in mind, deﬁne function t (1 − t ) S (t ) = S (t,η) := −i ln (132) 1 − where the branch cuts of S (t ) in t variable are chosen to be (−∞, 0), (1, ∞), and the ray from t = η to t =∞ with angle arg η. The integral from (131) can be now written as 27 Page 28 of 59 M. Bertola et al. a(λ) 1 1 t (1 − t ) i [a(λ)]S (t ) −[a(λ)]S (t ) η η dt = e e dt . (133) 1 − 0 0 Deﬁne closed regions z + 1 Ω := η = : M ≤|η|≤ 2M , (134) 2z z + 1 Ω := η = : M ≤|η|≤ 2M , 0 ≤ arg(η) ≤ π , (135) 2z where M is a large, positive, ﬁxed number that is to be determined. Notice that the set z+1 of all z such that ∈ Ω is a small annulus about the origin. The large a asymptotics 2z of the integral in (133) that is uniform in η ∈ Ω is technically not covered by standard saddle point theorems (see, for example, [12,25,30]). Therefore, in Appendix D we present a proof of Theorem 14 for such integrals, that will be used later for the small lambda asymptotics of hypergeometric functions h (η), s (η) and their derivatives. ∞ ∞ The obtained results in Theorem 14 leading order term of the hypergeometric function is consistent with the results of Paris [26], where the formal asymptotic expansion in the large parameter a(λ) was derived, but the error estimates and uniformity in η were not addressed. The following proposition identifying the saddle points of S (t ) is a simple exercise. We need the saddle point t (η) to state Theorem 14. Proposition 5 For η ∈ Ω , the function S (t ) has exactly two simple saddle points + η ∗ ∗ t (η) deﬁned by S (t (η)) = 0. Explicitly, ± η ± t (η) = η + η − η = 2η + O (1) as η →∞, (136) ∗ −1 t (η) = η − η − η = + O η as η →∞, (137) where the branchcut for t (η) is [0, 1]. Moreover, 2i ∗ ∗ ∗ S (t (η)) =−2i ln t (η) and S (t (η)) = . (138) ± ± η − ∗ ∗ t (η) 1 − t (η) − − Let B(ζ, r ), B (ζ, r ) denote an open disc and a punctured open disc respectively of radius r > 0 centered at ζ ∈ C. Theorem 14 Fix a sufﬁciently small > 0, a sufﬁciently large M (see (134)) and suppose F (t,η,λ) satisﬁes the following properties: 1. For every (η, λ) ∈ Ω × B (0, ) ,F (t,η,λ) is analytic in t ∈ B(1/2, 1/2); 2. F (t,η,λ) is continuous in all variables in B(1/2, 1/2) × Ω × B (0, ) and for every t ∈ B(1/2, 1/2) it is bounded in (η, λ) ∈ Ω × B (0, ); 3. F (t,η,λ) = O (t ) as t → 0, where c > −1 uniformly in (η, λ) ∈ Ω × 0 + B (0, ); Diagonalization of the ﬁnite Hilbert transform on two… Page 29 of 59 27 4. F (t,η,λ) = O ((1 − t ) ) as t → 1, where c > −1 uniformly in (η, λ) ∈ Ω × B (0, ); ∗ 0 5. |F (t (η), η, λ)| is separated from zero for all (η, λ) ∈ Ω × B (0, ). Then −[a(λ)]S (t ) F (t,η,λ)e dt ∗ 2π M −[a(λ)]S (t (η)) ∗ = e F t (η), η, λ 1 + O , [a(λ)]S (t (η)) [a(λ)] η − (139) as λ → 0, where a(λ) is deﬁned in (15). This approximation is uniform for η ∈ Ω . The idea of the proof is as follows: we deform the contour of integration in (139) from [0, 1] to a path we call γ , which passes through a relevant saddle point t (η) of S (t ). We then show that the leading order contribution in (139) comes from a small neighborhood of t (η). Remark 12 One can simplify equation (139) in Theorem 14 by substituting (138). 5.2 Small asymptotics of 0(z; ) for z ∈ Ä In this subsection we use Theorem 14 to calculate the leading order asymptotics of Γ(z; λ) given by (17)as λ → 0, provided that z ∈ Ω, where z + 1 z + 1 ˜ ˜ Ω := z : ∈ Ω , Ω := z : ∈ Ω . (140) + + 2z 2z Notice that Ω is a small annulus about the origin. In this section, we will often use the variable κ =− ln λ (141) instead of λ and the function z 1 i + z − 1 g(z) := a − = ln . (142) 2 i π −z The properties of the g-function can be found in Proposition 6. −κ Corollary 2 In the limit λ = e → 0 2 1/4 2 z + 1 2z(1 − z ) M ±κ −g(z) h = i4 √ e 1 + O , (143) 2z κ 1 + 1 − z ±κ −g(z) 2 2 z + 1 κ(2z) e M h =∓4 √ 1 + O , (144) 2 1/4 2 2z κ π(1 − z ) (1 + 1 − z ) 27 Page 30 of 59 M. Bertola et al. 2 1/4 2 z + 1 (1 − z ) (1 + 1 − z ) M ±κ g(z)− −a 2 s = i4 e 1 + O , 2z κ (2z) (145) z + 1 κ(1 + 1 − z ) M ±κ g(z)− −a s =±4 √ e 1 + O , (146) 2 1/4 2z κ π 2z(1 − z ) provided ±λ ≥ 0, where each approximation is uniform in z ∈ Ω . The functions h , h and s , s are deﬁned in (12), (13), respectively. The functions 1 − z and ∞ ∞ ∞ ∞ 2 1/4 (1 − z ) have branch cuts on (−1, 1) and (−∞, 1) respectively. Proof According to Theorem 14, 1 −1−2a aπi z + 1 e Γ(2a + 2) π 1 − z 2z 1 − z h = 1 + 2z Γ (a + 1) a 1 + z z + 1 1 + z 1 + O , (147) i [a(λ)]S (t ) z+1 where we have used F (t,η,λ) = e and η = . By Proposition 7 2z −2a −a z + 1 1 − z aπi 1 + = exp −aπig(z) − (148) 2z 1 + z 2 z(1 + z) −κg(z)−κ/2 2 = √ √ e 1 + O λ 2(1 + 1 − z ) (149) as λ → 0 with λ ≥ 0 and z ∈ Ω .Using [24] 5.5.5, 5.11.13 we have a+1/2 Γ(2a + 2) 4 Γ a + a 1 2 a+1/2 = √ · = 4 1 + O (150) Γ(a + 1) Γ(a + 1) π a z+1 as a →−i ∞. Now plugging (149), (150)into(147), we obtain the result for h 2z when λ ≥ 0. The approximation when λ ≤ 0 can be found in an similar manner. i [a(λ)]S (t ) For h (η) we again use Theorem 14 with F (t,η,λ) = to obtain ∞ 1−t /η aΓ(2a + 2) 1 t (1 − t ) aπi h (η) =−e dt a+1 2 η Γ(a + 1) 1 − t /η 1 − t /η −1−2a(λ) −1/4 1 1 M aπi a −a−1 =−2ae 4 η 1 − 1 + 1 − 1 + O , η η a (151) Diagonalization of the ﬁnite Hilbert transform on two… Page 31 of 59 27 which is equivalent to the stated result. Notice that the functions s (η), s (η),as written, only have the integral representation [1] 15.3.1 for −1/2 ≤[a(λ)] < 0. In this case, we obtain the stated result immediately via the observation h (η) = s (η). To obtain the results when 0 ≤[a(λ)]≤ 1/2, use [24] ∞ ∞ a→−a−1 15.5.19 with z → 1/η, a →−a, b →−a − 1, and c →−2a to obtain a(a − 1) 1 −a + 2, −a + 1 1 1 − F 2 1 η η −2a + 2 η 1 −a + 1, −a 1 + 2a(2a − 1) 1 − F 2 1 η −2a + 1 η −a, −a − 1 1 = 2a(2a − 1) F . (152) 2 1 −2a η Now with z → 1/η, a →−a + 1, b →−a, and c →−2a + 1, we have a(a − 2) 1 −a + 3, −a + 2 1 1 − F 2 1 η η −2a + 3 η 2(a − 1) −a + 2, −a + 1 1 + 2(1 − a) 1 − 2a + F 2 1 η −2a + 2 η −a + 1, −a 1 = 2(1 − a)(1 − 2a) F . (153) 2 1 −2a + 1 η Combining the two previous equations, we see that −a, −a − 1 1 2 1 −2a η a(a − 2) 1 −a + 3, −a + 2 1 = 1 − F 2 1 2η(a − 1)(2a − 1) η −2a + 3 η 1 3(1 − a) −a + 2, −a + 1 1 + a 1 − 2(2a − 1) + F . (154) 2 1 η η −2a + 2 η The perk of this equation is that the right hand side has an integral representation for −1/2 ≤[a]≤ 1/2. Thus we can apply Theorem 14 twice and obtain the leading order asymptotics. So we have shown −a − 1, −a 1 −aπi a+1 s (η) =−e η F ∞ 2 1 −2a η 1+2a 1/4 1 1 1 M −aπi −a a+1 =− e 4 η 1 + 1 − 1 − 1 + O . 2 η η a (155) 27 Page 32 of 59 M. Bertola et al. A similar process can be repeated for s (η) and we obtain a + 1 −a, −a 1 s (η) = η F 2 1 aπi −e −2a η 1+2a(λ) −1/4 1 1 −aπi −a−1 a =−2(a + 1)e 4 η 1 − 1 + 1 − η η 1 + O . (156) We have an immediate Corollary. −κ Corollary 3 In the limit λ = e → 0, z + 1 2z 10 10 2 σ /4 Γ = i (1 − z ) (1 + i σ ) √ 2 1 2zκ 2 0 2z 0 ± 1 + 1 − z i π 2z ±κ −g(z) σ aσ 3 3 2 × 1 + O 4 e , (157) provided ±λ ≥ 0, which is uniform for z ∈ Ω . It remains to ﬁnd the small λ leading order asymptotics of the remaining factors of Γ(z; λ). This is a tedious, but straightforward exercise. Lemma 2 We have ⎡ ⎤ a 1 1 a 1 Γ − Γ − −a i Γ − Γ − −a ( ) 2 2 2 2 2 ⎢ ⎥ 1 a 8Γ 1− Γ(−a) ( ) 1 aπi 4Γ − Γ(−1−a) 2 ⎢ ⎥ −1 − σ −aσ 2 2 3 3 Γ = e 4 . (158) ⎢ ⎥ a 1 a 1 1 2 ⎣ −Γ ( +1)Γ a+ ⎦ iΓ( + )Γ (a+ ) 2 2 2 2 2 Γ( +1)Γ (a) a 1 Γ + Γ(a+2) 2 2 −κ Moreover, in the limit λ = e → 0, 1 2 κ 0 10 −1 ∓ σ −aσ −1 3 3 ˆ 4 Γ = e 4 (1 + i σ ) 1 + O κ , 01 0 ± 2 i 2κ (159) provided ±λ ≥ 0. Proof Using [1] 15.3.15 then 15.1.20, we have a a πΓ a + , + 1 a, a + 1 2 −a/2 2 2 −aπi /2 F 2 = (−1) F 1 = e 2 1 2 1 2a + 2 a 3 a 1 a + Γ + Γ + 2 2 2 2 (160) Diagonalization of the ﬁnite Hilbert transform on two… Page 33 of 59 27 −a/2 −aπi /2 where (−1) = e . Thus, in view of Theorem 1 and (12), we obtain the (1,1) entry of Γ . Repeating this process for h , s , s , we obtain our explicit result. ∞ ∞ The asymptotics directly follow from the use of Stirling’s formula and Proposition 7. According to Theorem 1, − tan(aπ) 0 aπi Q(λ) = D(1+ie σ ), where D := . 2 Γ(a+3/2)Γ (a+1/2) 2a+1 aπi 04 e Γ(a)Γ (a+2) (161) Combining that with Proposition 7 and 5.11.13 from [24], we obtain the following Lemma. −κ Lemma 3 In the limit λ = e → 0, ±10 −1 D = i 1 + O κ , (162) 2a+1 ±κ 04 e provided ±λ ≥ 0. We are ready to put the pieces from this section together and obtain the asymptotics of Γ(z; λ) as λ → 0for z ∈ Ω. Deﬁne the matrix √ √ 2 2 i + z + z − 1 −i − z + z − 1 √ √ Φ(z) := √ 2 1/4 2 2 2 z(z − 1) i − z + z − 1 −i + z + z − 1 σ /4 i z − 1 = 1 + (σ − i σ ) . (163) 3 2 2z z This matrix is a particular solution of the so-called model RHP 4 corresponding to x = y = i /2in (188). As we will see in Theorem 15 below, the limit of Γ(z; λ) as λ → 0, λ> 0 distinguishes Φ(z) among all other solutions of the model RHP. −κ Lemma 4 In the limit λ = e → 0 −1 1 z + 1 −1 −1 κg(z)σ 2z(a+1) 3 ˆ ˆ D Γ Γ e 2 01 2z Φ(z) 1 + O , λ ≥ 0 D = (164) σ Φ(z)σ 1 + O , λ ≤ 0 3 3 uniformly in z ∈ Ω . + 27 Page 34 of 59 M. Bertola et al. −1 −1 −1 1 2z(a+1) Proof First take λ ≥ 0; the leading order term of D Γ z+1 κgσ Γ e D from Lemmas and Corollaries 3, 2, 3,wehave 2z √ √ 2i 2z 1 −1 10 2 σ /4 (1 + i σ ) (1 − z ) (1 + i σ ) √ 2 2 2 0 −iz 2 0 1 + 1 − z 2 −1/4 ' (z − 1) = (1 − σ ) + iz (σ − i σ ) + 1 − z (σ + i σ ) 1 3 2 3 2 3/2 2z · 1 − σ 1 − z = Φ(z). −1 −1 −1 1 2z(a+1) When λ ≤ 0, observe that the leading order term of D Γ z+1 κgσ ˆ 3 Γ e D is now 2z √ σ 2i 2z 10 1 −1 2 σ /4 σ · (1 + i σ ) (1 − z ) (1 + i σ ) √ · σ 3 2 2 3 0 −iz 0 1 + 1 − z (165) and thus we have the leading order term. Since Φ(z) is uniformly bounded away from 0 when z ∈ Ω, we immediately obtain the lower order term. Deﬁne matrix Φ(z), for [κ]≤ 0, Ψ (z; κ) = (166) σ Φ(z)σ , for [κ]≥ 0. 1 1 Note that the matrix σ Φ(z)σ is also a solution to RHP 4 with x = y =−i /2in 1 1 (188). Now we are ready to prove one of the main results of this section. Theorem 15 Let θ ∈ (0,π/2) be ﬁxed. Then −κg(z)σ 3 ˜ Ψ (z; κ) 1 + O e , z ∈ Ω, θ < | arg(z)| <π − θ, ⎪ 0 ⎪ κ ⎪ ⎡ ⎤ ⎪ 2 ⎨ M −κg(z)σ ⎣ ⎦ 3 ˜ Ψ (z; κ) 1 + O e , z ∈ Ω, π − θ< arg(z)<π + θ, κ(2g(z)−1) Γ(z; λ) = ±ie 1 ⎡ ⎤ −κ(2g(z)+1) ⎪ 1 ∓ie M −κg(z)σ ⎪ ⎣ ⎦ 3 ˜ ⎪ Ψ (z; κ) 1 + O e , z ∈ Ω, − θ< arg(z)<θ ⎩ κ −κ ˜ ˜ as λ = e → 0 uniformly in z ∈ Ω, provided ±λ ≥ 0. See Fig. 1 for θ, Ω. ˜ ˜ Proof First assume λ ≥ 0 and z ∈ Ω (this implies z ∈ Ω and z ≤ 0). The following calculation −κgσ −κgσ aπi −κgσ κgσ −2κgσ aπi κgσ 3 3 3 3 3 3 e Q = e D 1 + ie σ e e = D e + ie σ e 2 2 (167) Diagonalization of the ﬁnite Hilbert transform on two… Page 35 of 59 27 and use of Lemma 4 give us −1 σ 1 aπi −1 −1 2z(a+1) ˆ ˆ Γ(z; λ) = (1 − ie σ )D Γ (∞) Γ 2aπi 1 + e 01 z + 1 κgσ 2κgσ aπi −κgσ 3 3 3 e D(σ e + ie I )e 2z −κ(2g+1) 1 ie −κgσ = Φ(z) 1 + O e , (168) κ(2g−1) −ie 1 as desired. Now take λ ≤ 0 and proceed similar to above. We use the calculation κgσ κgσ aπi −κgσ κgσ aπi 2κgσ κgσ 3 3 3 3 3 3 e Q = e D(1 + ie σ )e e = D(1 + ie e σ )e 2 2 (169) and Lemma 4 to obtain −κ(2g+1) 1 ie −κgσ Γ(z; λ) = σ Φ(z)σ 1 + O e . (170) 1 1 κ(2g−1) −ie 1 ˜ ¯ The results for z ∈ Ω with z ≥ 0 are immediate via use of the symmetry Γ(z ¯; λ) = Γ(z; λ). Recall that Φ(z ¯) = σ Φ(z)σ from Remark 13, g(z ¯) = g(z) and κ(λ) = 1 1 κ(λ). 5.3 Deift–Zhou steepest descent method The g-function, deﬁned in (142), will play an important role so we list its relevant properties, all of which follow directly from Proposition 7. Proposition 6 g(z) has the following properties: 1. g(z) is analytic on C\[−1, 1], Schwarz symmetric and g(∞) = 0, 2. g (z) + g (z) = 1 for z ∈[−1, 0],g (z) + g (z) =−1 for z ∈[0, 1], + − + − 3. (2g(z) − 1) = 0 for z ∈[−1, 0] and (2g(z) − 1)< 0 for z ∈ C\[−1, 0], 4. (2g(z) + 1) = 0 for z ∈[0, 1] and (2g(z) + 1)> 0 for z ∈ C\[0, 1], 5.3.1 Transformation 0(z; ) → Z(z; κ) Our ﬁrst transformation will be −κ κg(z)σ Y (z; κ) := Γ(z; e )e , (171) where Γ(z; λ) was deﬁned in (17). Since Γ(z; λ) is the solution of RHP 1,itiseasy to show that Y (z; κ) solves the following RHP. 27 Page 36 of 59 M. Bertola et al. Fig. 1 The set Ω and lenses −κ Riemann–Hilbert Problem 2 Find a matrix Y (z; κ),e = λ ∈ C\{0}, analytic for z ∈ C\[−1, 1] and satisfying the following conditions: κ(g −g ) −κ(g +g −1) + − + − e −ie Y (z ; κ) =Y (z ; κ) , z ∈ (−1, 0) (172) + − −κ(g −g ) + − 0 e κ(g −g ) + − e 0 Y (z ; κ) =Y (z ; κ) , z ∈ (0, 1) (173) + − κ(g +g +1) −κ(g −g ) + − + − ie e −1 Y (z; κ) =1 + O z as z →∞, (174) Y (z; κ) = O (1) O (log(z + 1)) as z →−1, (175) Y (z; κ) = O (log(z − 1)) O (1) as z → 1, (176) Y (z; κ) ∈L as z → 0. (177) loc The endpoint behavior is listed column-wise. The jumps for Y (z; κ) on (−1, 0) and (0, 1) can be written as 10 10 Y (z ; κ) = Y (z ; κ) (−i σ ) , z ∈ (−1, 0) + − κ(2g (z)−1) κ(2g (z)−1) − + ie 1 ie 1 (178) 1 1 −κ(2g (z)+1) −κ(2g (z)+1) − + 1 e 1 e i i Y (z ; κ) = Y (z ; κ) (i σ ) , z ∈ (0, 1). + − 1 01 01 (179) This decomposition can be veriﬁed by direct matrix multiplication and by using the (±) jump properties of g(z) in Proposition 6. We deﬁne the ‘lense’ regions L as in L,R Fig. 2. Recall, from Proposition 6, that [2g(z) + 1]≥ 0 with equality only for z ∈ (0, 1) and [2g(z) − 1]≤ 0 with equality only for z ∈ (−1, 0). Our second and ﬁnal Diagonalization of the ﬁnite Hilbert transform on two… Page 37 of 59 27 transformation is ⎪ Y (z; κ), z outside the lenses ⎪ 10 (±) Y (z; κ) , z ∈ L κ(2g(z)−1) ∓ie 1 Z (z; κ) := (180) 1 −κ(2g(z)+1) ⎪ 1 ∓ e (±) Y (z; κ) , z ∈ L . Since Y (z; κ) solves RHP 2, it is a direct calculation to show Z (z; κ) solves the following RHP. Riemann–Hilbert Problem 3 Find a matrix Z (z; κ), analytic on the complement of the arcs of Fig. 2, satisfying the jump conditions (±) ⎪ z ∈ ∂L \R, ⎪ L κ(2g−1) ie 1 −κ(2g+1) 1 e (±) Z (z ; κ) = Z (z ; κ) z ∈ ∂L \R, (181) + − −i σ z ∈ (−1, 0), ⎪ 1 i σ z ∈ (0, 1), normalized by −1 Z (z; κ) = 1 + O z , as z →∞, (182) and with the same endpoint behavior as Y (z; κ) near the endpoints z = 0, ±1,see (175). (±) The jumps for Z (z; κ) on ∂L will be exponentially small as long as z is a ﬁxed L,R distance away from 0, ±1 due to Proposition 6. If we ‘ignore’ the jumps on the lenses of the RHP for Z (z; κ), we obtain the so-called model RHP. Riemann–Hilbert Problem 4 Find a matrix Ψ(z), analytic on C\[−1, 1], and satisfy- ing Ψ (z) = Ψ (z)(−i σ ), for z ∈[−1, 0], (183) + − 1 Ψ (z) = Ψ (z)(i σ ), for z ∈[0, 1], (184) + − 1 Ψ(z) = O |z ∓ 1| , as z →±1, (185) Ψ(z) = O |z| , as z → 0, (186) −1 Ψ(z) = 1 + O z as z →∞. (187) Note that condition (186) does not guarantee the uniqueness of Ψ(z). 27 Page 38 of 59 M. Bertola et al. Theorem 16 Ψ(z) is a solution to RHP 4 if and only if there exist x , y ∈ C such that σ /4 1 z − 1 x −x Ψ(z) = 1 + . (188) y −y z z Proof The Sokhotski–Plemelj formula (see [14]) can be applied to this problem to obtain the solution 1/4 z − 1 Ψ (z) = β(z) , where β(z) = . (189) Take any solution to RHP 4 (different from Ψ (z)) and call it Ψ (z). Then it can be 1 2 −1 −1 seen that the matrix Ψ (z)Ψ (z) has no jumps in the complex plane, Ψ (z)Ψ (z) = 2 2 1 1 −1 −1 −1 1 + O z as z →∞ and Ψ (z)Ψ (z) = O z as z → 0. Then it must be that −1 Ψ (z)Ψ (z) = 1 + , (190) where A is a constant matrix. Notice that β(z) 1 11 1 −1 Ψ (z) = + , (191) 11 −11 2 2β(z) so we have A A β(z) 1 11 1 −1 Ψ (z) = 1 + Ψ (z) = 1 + + . 2 1 11 −11 z z 2 2β(z) (192) −1/2 Since Ψ (z) is a solution of RHP 4,itmustbetruethat Ψ (z) = O z as z → 0. 2 2 Thus the matrix A must satisfy 11 00 x −x A · = ⇒ A = . (193) 11 00 y −y It is easy now to check that (188) with any x , y ∈ C satisﬁes RHP 4. Remark 13 Assume Ψ(z) is a solution of the RHP 4. Then det Ψ(z) ≡ 1 if and only if y = x in the representation (188). If, additionally, x ∈ i R in this representation then Ψ(z) has the symmetry Ψ(z) = σ Ψ(z)σ . (194) 1 1 Both properties can be easily veriﬁed. 5.3.2 Approximation of Z(z; κ) and main result We will construct a piecewise (in z) approximation of Z (z; κ) when κ →∞.Our approach is very similar to that in [6]. Denote by D a disc of small radius l centered j Diagonalization of the ﬁnite Hilbert transform on two… Page 39 of 59 27 (±) Fig. 2 Lense regions L L,R at j, j = 0, ±1, where l is chosen so that ∂ D ⊂ Ω. The idea is as follows: on the (±) lenses L (see Fig. 2) outside the discs D , j = 0, ±1, the jumps of Z (z; κ) are L,R uniformly close to the identity matrix thus Ψ (z; κ) (a solution to model RHP, see (166)) is a ‘good’ approximation of Z (z; κ).Inside D , j = 0, ±1, we construct local approximations that are commonly called ‘parametrices’. The solution of the so-called Bessel RHP is necessary. Riemann–Hilbert Problem 5 Let ν ∈ (0,π) be any ﬁxed number. Find a matrix B (ζ ) ±i θ + that is analytic off the rays R ,e R and satisﬁes the following conditions. ±i θ B (ζ ) = B (ζ ) ,ζ ∈ e R (195) ν+ ν− + −4 ζ ±iπν e 1 B (ζ ) = B (ζ ) ,ζ ∈ R (196) ν+ ν− − −10 |ν| B (ζ ) = O ζ for ν = 0 or O (log ζ ) for ν = 0 as ζ → 0, (197) B (ζ ) = F (ζ ) 1 + O √ as ζ →∞, 3 1 1 −i −σ /2 − where F (ζ ) := (2π) ζ √ . (198) −i 1 This RHP has an explicit solution in terms of Bessel functions and can be found in [31]. Deﬁne local coordinates at points z =±1as −4 ξ (z) =κ(2g(z) − 1), for z ∈ D , (199) −1 −1 4 ξ (z) =κ(2g(z) + 1), for z ∈ D . (200) 1 1 27 Page 40 of 59 M. Bertola et al. We call Z (z; κ) our approximation of Z (z; κ) and deﬁne ⎪ ) Ψ (z; κ), z ∈ C\ D , 0 j j =−1 σ σ 3 3 − −1 Z (z; κ) := (201) 2 2 Ψ (z; κ)i F (ξ )B (ξ )i , z ∈ D , 0 −1 0 −1 −1 Z (z; κ), z ∈ D , ⎪ 0 ⎪ σ σ 3 3 − −1 2 2 Ψ (z; κ)i σ F (ξ )B (ξ )σ i , z ∈ D . 0 1 1 0 1 1 1 Remark 14 The matrix Z (z; κ) was constructed to have exactly the same jumps as Z (z; κ) when z ∈ D ∪[−1, 1]. For more details see [6], section 4.3. 0,±1 Corollary 4 Z (z; κ) = Ψ (z; κ) 1 + O as κ →∞ (202) uniformly in z ∈ Ω, Proof In Theorem 15, we obtained the leading order behavior of Γ(z; λ) for z ∈ Ω as λ → 0. This Theorem can easily be written in terms of Z (z; κ) instead of Γ(z; λ) by applying the transformations (see Sect. 5.3.1) Γ → Y → Z. Deﬁne the error matrix as −1 E (z; κ) := Z (z; κ)Z (z; κ), (203) −1 It is clear that E (z; κ) = 1 + O z as z →∞ since both Z (z; κ), Z (z; κ) have this behavior. E (z; κ) has no jumps inside D because Z (z; κ) was constructed −1,0,1 to have the same jumps as Z (z; κ) inside D ,see Remark 14. Thus E (z; κ) will −1,0,1 (±) have jumps on ∂ D , ∂L \D , and be analytic elsewhere. Explicitly, −1,0,1 0,±1 L,R σ σ 3 3 − −1 −1 2 2 ⎪ Ψ (z; κ)i F (ξ )B (ξ )i Ψ (z; κ), z ∈ ∂ D , 0 −1 0 −1 −1 ⎪ 0 ⎪ 00 −1 (±) 1 + Ψ (z; κ) Ψ (z; κ), z ∈ ∂L \D , ⎪ 0 −1,0 0 L κ(2g(z)−1) ⎪ ie 0 −1 E (z ; κ) = E (z ; κ) Z (z; κ)Ψ (z; κ), z ∈ ∂ D , (204) + − −κ(2g(z)+1) ⎪ 0 −ie (±) ⎪ −1 1 + Ψ (z; κ) Ψ (z; κ), z ∈ ∂L \D , 0 0,1 0 R ⎪ 00 σ σ ⎩ 3 3 −1 − −1 2 2 Ψ (z; κ)i σ F (ξ )B (ξ )σ i Ψ (z; κ), z ∈ ∂ D . 0 1 1 0 1 1 1 Call Σ the collection of arcs where E (z; κ) has a jump, as described in Fig. 3. −κ(2g(z)+1) κ(2g(z)−1) Remark 15 The factors e and e in (205) are exponentially small for all z in the corresponding set, in light of Proposition 6. Now revisiting the jumps of E (z; κ) in (204), we have another Corollary. Diagonalization of the ﬁnite Hilbert transform on two… Page 41 of 59 27 Fig. 3 The contour Σ,where E (z; κ) has jumps Corollary 5 For any z ∈ Σ, ⎪ 1 + O , z ∈ ∂ D , −1,0,1 (±) κ(2g(z)−1) E (z ; κ) = E (z ; κ) as κ →∞ + − 1 + O e , z ∈ ∂L \D , −1,0 (±) −κ(2g(z)+1) 1 + O e , z ∈ ∂L \D , 0,1 (205) uniformly in z ∈ Σ. Proof The behavior for z ∈ ∂ D ,∂ D is a direct consequence of (198), Corollary 4, ±1 0 respectively. The behavior on the lenses is clear via inspection of (204). Corollary 6 Let J be a compact subset of C\{−1, 0, 1}, where we distinguish the points on the upper and lower sides of (−1, 0) and (0, 1). Then we have the approximation Z (z; κ) = Ψ (z; κ) 1 + O as κ →∞ (206) uniformly in z ∈ J. Proof Given J , the disks D can be taken sufﬁciently small in order to not intersect 0,±1 J . Corollaries 4, 5 and the so-called small norm theorem, see [9] Theorem 7.171, can now be applied to conclude that E (z; κ) = 1 + O uniformly for z ∈ J.Thisis equivalent to the stated result. We are now ready to prove the main result of this section. −κ Theorem 17 In the limit λ = e → 0: 1. For z in compact subsets of C\[−1, 1] we have the uniform approximation −κg(z)σ Γ(z; λ) = Ψ (z; κ) 1 + O e ; (207) κ 27 Page 42 of 59 M. Bertola et al. 2. For z in compact subsets of (−1, 0) ∪ (0, 1) we have the uniform approximation 2 10 M −κg(z )σ ⎪ ± 3 Ψ (z ; κ) 1 + O e , z ∈ (−1, 0), ⎪ 0 ± ⎨ κ κ(2g(z )−1) ±ie 1 Γ(z ; λ) = (208) −κ(2g(z )+1) ⎪ ± 2 1 ∓ie M −κg(z )σ ⎪ ± 3 Ψ (z ; κ) 1 + O e , z ∈ (0, 1), ⎪ 0 ± ⎩ κ where ± denotes the upper/lower shore of the real axis in the z-plane. Proof This Theorem is a direct consequence of Corollary 6. We simply need to revert the transforms that took Γ → Z. Doing so, we ﬁnd that −κg(z)σ Z (z; κ)e , z outside lenses (±) ⎨ −κg(z)σ Z (z; κ) e , z ∈ L κ(2g(z)−1) Γ(z; λ) = ±ie 1 (209) ⎪ −κ(2g(z)+1) ⎪ 1 ∓ie (±) ⎪ −κg(z)σ Z (z; κ) e , z ∈ L . Since z is in a compact subset of C\[−1, 1] or (−1, 0) ∪ (0, 1), we apply Corollary 6 to obtain the result. Acknowledgements Open access funding provided by Royal Institute of Technology. The research of M. B. was supported in part by the Natural Sciences and Engineering Research Council of Canada Grant RGPIN-2016-06660. The research of E. B. was supported in part by the European Research Council, Grant Agreement No. 682537. The research of E. B., A. K., and A. T. was supported in part by NSF Grant DMS-1615124. Compliance with ethical standards Conﬂict of interest The authors conﬁrm that there is no conﬂict of interest. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Appendix Appendix A: Construction of 0(z; ) Recall that the Hypergeometric ODE (see [24] 15.10.1) is d w dw η(1 − η) + c − (a + b + 1)η − abw = 0, (210) ( ) dη dη Diagonalization of the ﬁnite Hilbert transform on two… Page 43 of 59 27 which has exactly three regular singular points at η = 0, 1, ∞. The idea is to choose parameters a, b, c so that the monodromy matrices of the fundamental matrix solution solution of the ODE will match (up to similarity transformation) the jump matrices of RHP 1. We orient the real axis of the η−plane as described in Fig. 4. A.1 Solutions of ODE (210) near regular singular points and connection formula According to [24] 15.10.11–15.10.16, three pairs of linearly independent solutions of ODE (210) when η = 0, 1, ∞, respectively, are a, b a − c + 1, b − c + 1 1−c h (η) = F η , s (η) = η F η , (211) 0 2 1 0 2 1 c 2 − c a, b h (η) = F 1 − η , 1 2 1 a + b + 1 − c c − a, c − b c−a−b s (η) = (1 − η) F 1 − η , (212) 1 2 1 c − a − b + 1 a, a − c + 1 1 b, b − c + 1 1 aπi −a bπi −b h (η) = e η F , s (η) = e η F . ∞ 2 1 ∞ 2 1 a − b + 1 η b − a + 1 η (213) From [24] 15.10.7, we have that (a+b)πi −c c−a−b−1 W [h (η), s (η)] = e (a − b)η (1 − η) . (214) η ∞ ∞ Kummer’s 20 connection formula are listed in [24] 15.10.17–15.10.36. We will list only what is necessary in this construction. The connection between solutions at η = 0 and η =∞ is (see [24] 15.10.19, 15.10.20, 15.10.25, 15.10.26) h (η) s (η) = h (η) s (η) C , (215) 0 0 ∞ ∞ ∞0 h (η) s (η) = h (η) s (η) C , (216) ∞ ∞ 0 0 0∞ where Γ (c)Γ (b−a) Γ (2−c)Γ (b−a) (1−c)πi Γ (b)Γ (c−a) Γ (1−a)Γ (b−c+1) C = , (217) ∞0 Γ (c)Γ (a−b) Γ (2−c)Γ (a−b) (1−c)πi Γ (a)Γ (c−b) Γ (1−b)Γ (a−c+1) Γ (1−c)Γ (a−b+1) Γ (1−c)Γ (b−a+1) −1 Γ (a−c+1)Γ (1−b) Γ (b−c+1)Γ (1−a) C = C = . (218) 0∞ ∞0 Γ (c−1)Γ (a−b+1) Γ (c−1)Γ (b−a+1) (c−1)πi (c−1)πi e e Γ (a)Γ (c−b) Γ (b)Γ (c−a) Fig. 4 Orientation of the real axis of the η-plane 27 Page 44 of 59 M. Bertola et al. Fig. 5 Orientation of the real axis of the z-plane The connection between solutions at η = 1 and η =∞ is (see [24] 15.10.23, 15.10.24, 15.10.27, 15.10.28) h (η) s (η) = h (η) s (η) C , (219) 1 1 ∞ ∞ ∞1 h (η) s (η) = h (η) s (η) C , (220) ∞ ∞ 1 1 1∞ where Γ (a+b−c+1)Γ (b−a) Γ (c−a−b+1)Γ (b−a) −aπi (b−c)πi e e Γ (b)Γ (b−c+1) Γ (1−a)Γ (c−a) C = , (221) ∞1 Γ (a+b−c+1)Γ (a−b) Γ (c−a−b+1)Γ (a−b) −bπi (a−c)πi e e Γ (a)Γ (a−c+1) Γ (1−b)Γ (c−b) Γ (a−b+1)Γ (c−a−b) Γ (b−a+1)Γ (c−a−b) aπi bπi e e −1 Γ (1−b)Γ (c−b) Γ (1−a)Γ (c−a) C = C = . (222) 1∞ ∞1 Γ (a−b+1)Γ (a+b−c) Γ (b−a+1)Γ (a+b−c) (c−b)πi (c−a)πi e e Γ (a)Γ (a−c+1) Γ (b)Γ (b−c+1) A.2 Selection of parameters a, b, c Deﬁne c a+b−c+1 h (η) s (η) ∞ ∞ 2 2 Γ(η) := η (1 − η) . (223) h (η) s (η) ∞ ∞ Notice that for any η ∈ C (a+b)πi det Γ(η) = e (a − b) (224) according to (214). Our solution Γ(z; λ) to RHP 1 has singular points at z = b , 0, b . L R Notice that the Möbius transform b (z − b ) R L η = M (z) := (225) z(b − b ) R L maps b → 0, b → 1, and 0 →∞ where the orientation of the z−axis is described L R in Fig. 5. Thus we are interested in the matrix c a+b+1 2 2 b (z − b ) |b |(z − b ) R L L R h (M (z)) s (M (z)) ∞ 1 ∞ 1 Γ (M (z)) = . h (M (z)) s (M (z)) |b |(z − b ) z(b − b ) 1 1 L R R L ∞ ∞ (226) We need to determine parameters a, b, c such that Γ(M (z)) is L at z = loc b , 0, b , so we are interested in the bi-resonant case, which is L R c ∈ Z, c − b − a ∈ Z. (227) Diagonalization of the ﬁnite Hilbert transform on two… Page 45 of 59 27 When z = b , to guarantee that Γ is L we must have that (use the connection loc formula of section A.1 to easily inspect the local behavior) c 1 c 1 > − , − > − . (228) 2 2 2 2 Since c ∈ Z, it must be so that c = 0. Now for z = b , we must have that a + b − c + 1 r + 1 1 = > − , (229) 2 2 2 1 − a − b −r − 1 1 = > − (230) 2 2 2 where a + b = r ∈ Z. Since r ∈ Z, the only possibility is r =−1. So we have that b =−1 − a and c = 0. Lastly, as z → 0, a a+1 h (M (z)) = O z , h (M (z)) = O z , (231) ∞ 1 1 a+1 −b b R L −aπi −a s (M (z)) =−e + O z , (232) ∞ 1 z(b − b ) R L −b b R L −aπi −a+1 s (M (z)) =−(a + 1)e + O z , (233) z(b − b ) R L so we see that it is not possible for Γ(M (z)) to have L behavior at z = 0. On the other hand, observe that b b L R −a s (M (z)) + s (M (z)) = O z , z → 0. (234) ∞ 1 1 z(b − b )(a + 1) R L Thus the matrix b b L R z(b −b )(a+1) R L ˆ Γ(M (z)) (235) is L as z → 0 provided that |(a)| < 1/2. In the next section, we solve for a loc explicitly in terms of λ and the condition |(a)| < 1/2 will be met provided that λ/∈[−1/2, 1/2], see Appendix B. A.3 Monodromy The monodromy matrices of Γ(z) about the singular points z = 0, 1, ∞ are i πcσ iπ(a+b−c+1)σ iπ(b−a−1)σ 3 3 3 M = C e C , M = C e C , M = e , 0 ∞0 0∞ 1 ∞1 1∞ ∞ (236) 27 Page 46 of 59 M. Bertola et al. where C , C , C , C are deﬁned in (217), (218), (221), (222), respectively. ∞0 0∞ ∞1 1∞ With some effort it can be shown that sin πa sin πb 2πiΓ(b−a)Γ (b−a+1) cos πc 1 − 2i sin π(b−a) Γ(b)Γ (c−a)Γ (b−c+1)Γ (1−a) M = 2πiΓ(a−b)Γ (a−b+1) sin πa sin πb cos πc 1 + 2i Γ(a)Γ (c−b)Γ (a−c+1)Γ (1−b) sin π(b−a) sin π(a + b) + sin πc , (237) sin π(b − a) i π i π (b−a)σ − (b−a)σ 3 3 2 2 M = e M e . (238) 1 0 c→a+b−c+1 From the previous section, we take c = 0 and b =−1 − a. It is important to note that the connection matrices C , C , C , C are singular when c = 0 and/or ∞0 0∞ ∞1 1∞ b =−1 − a, but we can see that M , M are not. Taking c = 0 and b =−a − 1, we 0 1 obtain ⎡ ⎤ tan (aπ)Γ (a)Γ (a+2) 1 − i tan(aπ) 1 3 2a+1 i4 Γ(a+ )Γ (a+ ) ⎣ 2 2 ⎦ M = , (239) 0 1 3 2a+1 i4 Γ(a+ )Γ (a+ ) 2 2 1 + i tan(aπ) Γ(a)Γ (a+2) −i πaσ i πaσ 3 3 M = σ e M e σ , (240) 1 3 0 3 −2πiaσ M = e . (241) Let aπi − tan(aπ) 0 1 e Q(λ) = (242) Γ(a+3/2)Γ (a+1/2) 2a+1 aπi aπi 04 e −e 1 Γ(a)Γ (a+2) so then we have 2πia e −1 1 − −1 −1 aπi Q M Q = 2πia , Q M Q = , (243) 0 1 e −1 − 1 aπi 4πia 2πia 2πia e −e +1 1−e 2πia aπi −1 e e Q M Q = (244) ∞ 2πia 1−e aπi The match requires 2πia e − 1 i = (245) aπi e λ which implies 1 i + 4λ − 1 a(λ) = ln . (246) i π 2λ In Appendix B we have listed all the important properties of a(λ). Diagonalization of the ﬁnite Hilbert transform on two… Page 47 of 59 27 A.4 Proof of Theorem 1 We will now construct Γ(z; λ) so that it is the solution of RHP 1. Proof Notice that the matrix b b L R z(b −b )(a+1) R L ˆ Γ(M (z))Q(λ)σ , (247) 1 2 where Γ, M , a are deﬁned in (223), (225), (246), respectively, satisﬁes the following properties: – L behavior at z = 0, provided λ/∈[−1/2, 1/2], due to (235) and properties of a(λ) (see Appendix B), 1 − – jump matrix for z ∈ (b , 0) with positive orientation, see (243) and Fig. 5 for orientation, – jump matrix for z ∈ (0, b ) with positive orientation, see (243), i R – column-wise behavior O (1) O (ln(z − b )) as z → b , because the ﬁrst column L L has no jump on (b , 0) and is analytic for z ∈[ / b , b ] so the ﬁrst column is O (1) L L R as z → b . The Sokhotski–Plemelj formula can be used to inspect the behavior of the second column. – column-wise behavior O (ln(z − b )) O (1) as z → b , same idea as above, R R −1 – behavior Γ(M (∞))Q(λ)σ (1 + O z ) as z →∞, 1 2 – analytic for z ∈ C\[b , b ], due to properties of hypergeometric functions. L R Thus, we conclude that the matrix b b L R −1 −1 z(b −b )(a+1) ˆ ˆ R L Γ(z; λ) := σ Q (λ)Γ (M (∞)) Γ(M (z))Q(λ)σ (248) 2 1 1 2 is a solution of RHP 1 provided thatλ/∈[−1/2, 1/2]. Uniqueness follows immediately from the L behavior of Γ(z; λ) at the endpoints z = b , 0, b . L R Appendix B: Deﬁnition and properties of a() Recall, from (15), that 1 i + 4λ − 1 a(λ) = ln (249) i π 2λ where 4λ − 1 = 2λ + O (1) as λ →∞ and the principle branch of the logarithm is taken. The following proposition lists all relevant properties of a(λ), none of which are difﬁcult to prove. 27 Page 48 of 59 M. Bertola et al. Proposition 7 The function a(λ) has the following properties: 1. a(λ) is analytic and Schwarz symmetric for λ ∈ C\[−1/2, 1/2]. 1,λ ∈ (0, 1/2) 2. a (λ) + a (λ) = + − −1,λ ∈ (−1/2, 0) ,λ ∈ (0, 1/2) 1 1 1 1 3. [a (λ)]= and − < [a(λ)] < for λ ∈ C\ − , . 1 2 2 2 2 − ,λ ∈ (−1/2, 0) 4. For λ ∈ (−1/2, 1/2), [a (λ)] < 0, [a (λ)] > 0, and [a (λ)]=−[a (λ)]. + − + − 5. If λ → 0, provided that either λ ≥ 0 or λ ≤ 0, then 1 1 κ 1 2 −2κ − ln(λ) + + O λ = + + O e , λ ≥ 0, i π 2 i π 2 a(λ) = (250) 1 1 2 κ 1 −2κ ln(λ) + + O λ =− + + O e , λ ≤ 0, i π 2 i π 2 where κ =− ln λ. 6. As λ → 0, provided that either λ ≥ 0 or λ ≤ 0, then κ −2κ ie (1 + O e ), λ ≥ 0, i πa(λ) e = (251) −κ −2κ ie (1 + O e ), λ ≤ 0. Appendix C: Properties of d (z; ), d (z; ) L R In this Appendix we compute and list the important properties of the functions d (z; λ) and d (z; λ). Recall that [from Eq. (37)] b (z − b ) b (z − b ) R L R L d (z; λ) := α(λ)h + β(λ)s , (252) ∞ ∞ z(b − b ) z(b − b ) R L R L b (z − b ) b (z − b ) R L R L aπi −aπi d (z; λ) := −e α(λ)h + e β(λ)s , ∞ ∞ z(b − b ) z(b − b ) R L R L (253) where −aπi a aπi e tan(aπ)Γ (a) 4 e Γ(a + 1/2) α(λ) := ,β(λ) := (254) a+1 4 Γ(a + 3/2) Γ(a + 2) and h , s are deﬁned in (12), (13). ∞ ∞ Proposition 8 For λ ∈ (−1/2, 0), b b x R L 1. d (M (x ); λ) = d (x ; λ), where M (x ) = , R 2 L 2 x (b +b )−b b R L R L 2. d (z; λ) and d (z; λ) are single-valued in λ, L R 3. d (z; λ) is analytic for z ∈ C\[0, b ], d (z; λ) = d (z; λ) for z ∈ C, and L R L L d (z ; λ) − d (z ; λ) = d (z; λ), for z ∈ (0, b ), (255) L + L − R R λ Diagonalization of the ﬁnite Hilbert transform on two… Page 49 of 59 27 4. d (z; λ) is analytic for z ∈ C\[b , 0], d (z; λ) = d (z; λ) for z ∈ C, and R L R R d (z ; λ) − d (z ; λ) =− d (z; λ), for z ∈ (b , 0), (256) R + R − L L 5. We have the SVD system d (y; λ) d (x ; λ) d (x ; λ) d (y; λ) R L L R H (x ) = 2λ , H (y) = 2λ R L y x x y (257) where x ∈ (b , 0) and y ∈ (0, b ). L R b 0 d (x ; λ) d (x ; λ) R L 6. dx = 2πλd (∞; λ), dx =−2πλd (∞; λ) L R x x 0 b We obtain the corresponding identities for D (z; λ), D (z; λ) when λ ∈ (−1, 1) L R via the relation D (z; λ) := d (z;−|λ|/2) and D (z; λ) := d (z;−|λ|/2). R R L L Proof 1. Recall that M (x ), j = 1, 2, 3, are deﬁned in Remark 4. It is easy to show 1 −M (x ) that 1 − M (x ) = M (x ),1 − = .From[1] 15.5.7, 15.5.13, (taking 3 1 M (x ) M (x ) 3 3 −i π a := a (λ) and −1 = e ) we obtain −a−1 a + 1, a + 1 1 M (x ) a + 1, a + 1 1 aπi F =−e F , 2 1 2 1 2a + 2 M (x ) M (x ) 2a + 2 M (x ) 3 3 1 (258) thus we have a + 1, a + 1 1 aπi −a−1 aπi h (M (x )) =−ae M (x ) F =−e h (M (x )). 3 3 2 1 1 ∞ ∞ 2a + 2 M (x ) (259) Taking a →−a − 1 in the identity above yields −aπi s (M (x )) = e s (M (x )), (260) 3 1 ∞ ∞ because h (η)| = s (η). Now using the deﬁnition of d (x ; λ),(259), ∞ a→−a−1 ∞ R (260), and that M (M (x )) = M (x ), we obtain the result. 1 2 3 2. Notice that h (z) = s (z) so we have h (z,λ ) = s (z,λ ).To ∞ ∞ + − ∞ ∞ a→−a−1 compute the jumps of the coefﬁcients α, β,weuse [24] 5.5.3 to obtain α (λ) = β (λ) and, similarly, β (λ) = α (λ). This can now be used to prove the statement. − + − 3. Recall, from the proof of Theorem 4, that d (z; λ), d (z; λ) was deﬁned in terms L R of the (2, 1), (2, 2) element, respectively, of the matrix M (z,λ) = Γ(M (z), λ)Q(λ)σ . (261) 1 2 27 Page 50 of 59 M. Bertola et al. Using the deﬁnition of Γ(z; λ),see (17), some simple algebra shows that −b b L R −1 z(b −b )(a+1) ˆ R L M (z,λ) = Γ (M (∞))Qσ Γ(z; λ). (262) 1 2 Since Γ(z; λ) is a solution of RHP 1, we know M (z,λ) is analytic for z ∈ C\[b , b ] and L R 1 − M = M , z ∈ (b , 0), M = M , z ∈ (0, b ), + − L + − R 01 1 (263) which immediately gives the jumps and analyticity of both d , d . For the sym- L R metry, notice that, by deﬁnition, −a tan(aπ)Γ (a) a + 1, a + 1 1 −a−1 d (z; λ) = M (z) F R 1 2 1 a+1 2a + 2 M (z) 4 Γ(a + ) 1 (a + 1)4 Γ(a + ) −a, −a 1 2 a − M (z) F , (264) 1 2 1 Γ(a + 2) −2a M (z) and a = a(λ), M (z) are Schwarz symmetric. Thus d (z; λ) = d (z; λ) and the 1 R R symmetry of d (z; λ) follows from the relation d (M (x ); λ) = d (x ; λ). L R 2 L 4. This was proven above. 5. Let γ be the circle with center and radius of b /2 with negative orientation. Then, R R b b R R d (y; λ) 2λ d (y; λ) 2λ Δ d (y; λ) R y L H (x ) = dy = dy y 2πi y(y − x ) 2πi y(y − x ) 0 0 2λ d (y; λ) = dy = 2λd (x ; λ) (265) 2πi y(y − x ) where we have deformed γ through z =∞ and into the circle of center and radius b /2 with positive orientation and then apply residue theorem. The remaining computation is nearly identical. 6. The idea is similar to that of the last proof; b b R R d (x ; λ) d (x ; λ) 2πλ 2πλ d (x ; λ) R L dx = dx = dx x 2πi x 2πi x 0 0 γ = 2πλd (∞; λ), (266) and the remaining identity is proven analogously. Diagonalization of the ﬁnite Hilbert transform on two… Page 51 of 59 27 Appendix D: Proof of Theorem 14 D.1 Deformation of [0, 1] to For any η ∈ Ω , we want the path γ to have the property + η S (t ) − S (t (η)) ≤ 0 (267) η η for all t ∈ γ with equality only when t = t (η), so it is important to understand the collection of the level curves of S (t ) − S (t (η)) = 0, (268) η η which obviously depends on η. Lemma 5 For each η ∈ Ω we have the following: 1. There is exactly one curve l emitted from t = 0. Moreover, l lies in the sector 0 0 | arg(t )|≤ π/4 for sufﬁciently small |t |. 2. There is exactly one curve l emitted from t = 1. Moreover, l lies in the sector 1 0 | arg(1 − t )|≤ π/4 for sufﬁciently small |1 − t |. i θ u,η 3. There exists exactly one θ = θ ∈ (0,π) such that S (1/2 + 1/2e ) = u,η η S (t (η)) . Moreover, for M sufﬁciently large, θ ∈ (π/4, 3π/4). η u,η i θ l,η 4. There exists exactly one θ = θ ∈ (−π, 0) such that S (1/2 + 1/2e ) = l,η η S (t (η)) . Moreover, for M sufﬁciently large, θ ∈ (−3π/4, −π/4). η l,η Proof For brevity, deﬁne ηt (1 − t ) ∗ ∗ α (t ) := S (t ) − S (t (η)) = arg − 2arg t (η) . (269) η η η − − η − t The statements listed above are equivalent to i θ 1. For any r > 0 sufﬁciently small, α (re ) is increasing for −π< θ< π and i θ 0,η,r ∃!θ ∈ (−π/4,π/4) such that α (re ) = 0, 0,η,r η i θ 2. For any r > 0 sufﬁciently small, α (1 − re ) is increasing for −π< θ< π and i θ 1,η,r ∃!θ ∈ (−π/4,π/4) such that α (1 − re ) = 0, 1,η,r η 1 1 i θ 3. α + e is increasing for 0 <θ <π and ∃!θ ∈ (π/4, 3π/4) such that η u,η 2 2 1 1 i θ u,η α + e = 0, 2 2 1 1 i θ 4. α + e is increasing for −π< θ< 0 and ∃!θ ∈ (−3π/4, −π/4) such η l,η 2 2 1 1 i θ l,η that α + e = 0. 2 2 The proofs of each of the four claims above are similar so we prove the ﬁrst. i θ i θ i θ i θ ∗ α (re ) = arg(re ) + arg(1 − re ) − arg(η − re ) + arg(η) − 2arg t (η) ≡ θ r sin θ r sin θ −η −1 −1 + tan − tan r cos θ − 1 r cos θ −η 27 Page 52 of 59 M. Bertola et al. Fig. 6 This is a visualization of Lemma 5. The blue lines are the branch cuts of S (t ),the red curves form the level set S (t ) − S (t (η)) = 0and η η the black dashed circle has center and radius 1/2. The + denotes regions where S (t ) − S (t (η)) > 0and η η − denotes regions where S (t ) − S (t (η)) < 0 η η + arg(η) − 2arg t (η) (mod π) (270) Differentiating with respect to θ,wehave d r − r cos θ i θ α (re ) = 1 + 2 2 2 dθ (r cos θ − 1) + r sin θ r − r ((η) cos θ +(η) sin θ) − → 1 (271) 2 2 (r cos θ −η) + (r sin θ −η) i θ as r → 0. So with r small enough, α (re ) > 0 for any θ and for any η ∈ Ω . η + dθ Take M sufﬁciently large so that | arg t (η) | <π/8 (272) for all η ∈ Ω . Thus when r is sufﬁciently small, i π/4 π r / 2 re i π/4 −1 ∗ α (re ) = + tan √ − arg 1 − − 2arg t (η) > 0 4 η r / 2 − 1 (273) −i π/4 and similarly it can be shown that α (re )< 0. Intermediate Value Theorem can i θ 0,η,r now be applied to show ∃!θ ∈ (−π/4,π/4) such that α (re ) = 0. 0,η,r η Remark 16 According to Lemma 5, for every η ∈ Ω ,the set t ∈ B(1/2, 1/2) is split into 4 sectors by the level curve S (t ) − S (t (η)) = 0, see Fig. 6. η η We have now proven that we can deform [0, 1] to an ‘appropriate’ path γ ,as described in the following Theorem. Theorem 18 For each η ∈ Ω , the path [0, 1] can be continuously deformed to a path γ which begins at t = 0 (with arg(t)< −π/4 for small |t |), passes through t = t (η), − Diagonalization of the ﬁnite Hilbert transform on two… Page 53 of 59 27 ends at t = 1 (with arg(t − 1)< 3π/4 for small |t − 1|), and γ ⊂ B(1/2, 1/2). ∗ ∗ Moreover, S (t ) − S (t (η)) ≤ 0 for all t ∈ γ with equality only when t = t (η). η η η − − See (135), (132) for Ω , S (t ), respectively. + η Proof Let us ﬁx some η ∈ Ω . The function S (t ) is a harmonic function in t ∈ + η B(1/2, 1/2), so the level curves S (t ) =S (t (η)) can not form closed loops there. η η Since, according to Lemma 5, there exactly four level curves S (t ) =S (t (η)) η η entering the disc B(1/2, 1/2), and exactly four legs of this level curve emanating from t = t (η), the only possible topology of these level curves is shown on Fig. 6. We can now deform [0, 1] to an ‘appropriate’ path γ as stated in the theorem. The new path of integration, γ , is the black curve in Fig. 7. D.2 Estimates Here we will split γ into 3 pieces (see Fig. 7) and show that the leading order contri- bution in Theorem 14 comes from the piece containing t (η). Deﬁne radius ∗ −1 r := r = max − t (η) = O(M ) (274) η∈Ω so that t (η) ∈ B(1/2, r ) for all η ∈ Ω . The latter estimate follows from Prposition 5. Also deﬁne function v (t ) := v (t,η) = S (t (η)) − S (t ) (275) η η η where the square root is deﬁned so that v (t)> 0 along the path γ lying between η η t (η) and 1. The function v (t ) will be an essential change of variables in the integral (139) so we mention its important properties. Lemma 6 If M > 0 is sufﬁciently large, the function v (t ) for every η ∈ Ω is:( 1) η + biholomorphic in t ∈ B(1/2, 2r ); (2) satisﬁes the condition −1 v (t ) − v (t ) = (2 + O(M )) |t − t | (276) η 1 η 2 1 2 for any t , t ∈ B(1/2, 2r ). Moreover, if I is the image of B(1/2, 2r ) under the map 1 2 η v (t ), then there exists a δ > 0 such that B(0,δ ) ⊂ I . η ∗ ∗ η η∈Ω Proof Statement (1) follows directly from ∗ ∗ v (t ) = t − t (η) − S (t (η)) + O t − t (η) , t ∈ B(1/2, 2r ). (277) − η − − 2 27 Page 54 of 59 M. Bertola et al. Fig. 7 γ = γ + γ + γ L,η C ,η R,η To prove statement (2), we observe that Proposition 5 implies S (t (η)) = 8i + η − −1 O(M ). Then, taking into account (277), −S (t ) ∗ −1 v (t ) = = − S (t (η)) + O(M ), (278) η η 2v (t ) 2 −1 in B(1/2, 2r ), so that |v (t )|= 2 + O(M ) there. That implies (276). To prove the last statement, deﬁne the function δ (η) = min{v : v ∈ ∂ I } (279) ∗ η for all η ∈ Ω . Since δ (η) is a continuous positive function on the compact boundary + ∗ ∂Ω , it must attain its minimal value δ > 0. + ∗ Let δ = and deﬁne ∗ −1 ∗ −1 t (η) := v (−δ), t (η) := v (δ). (280) L η R η With the previous Lemma in mind, we now write γ = γ + γ + γ , where η L,η C ,η R,η −1 γ is the image of [−δ, δ] under the map v , γ is the portion of γ beginning at C ,η L,η ∗ ∗ t = 0 and ending at t = t (η), and γ is the portion of γ beginning at t = t (η) L,η L R and ending at t = 1. The curves γ ,γ ,γ are pictured in Fig. 7. L,η C ,η R,η Remark 17 Notice that ∗ ∗ −1 −1 t (η) − t (η) = v (0) − v (δ) ≥ |δ − 0| > 0 (281) − R η η for all η ∈ Ω by use of (276). An identical statement holds for t (η). Lemma 7 Choose sufﬁciently large M. Then, under the hypotheses of Theorem 14 −[a(λ)]S (t ) F (t,η,λ)e dt C ,η Diagonalization of the ﬁnite Hilbert transform on two… Page 55 of 59 27 ∗ 2π M −[a(λ)]S (t (η)) ∗ = e F t (η), η, λ 1 + O − ∗ [a(λ)]S (t (η)) [a(λ)] η − (282) as λ → 0, λ ≥ 0, uniformly in η ∈ Ω . Proof By deﬁnition, γ is the path of steepest descent for S (t ) − S (t (η)) and C ,η η η ∗ ∗ thus [S (t ) − S (t (η))]= 0 and [S (t ) − S (t (η))]≤ 0on γ with equality η η η η C ,η − − only when t = t (η). Using change of variables v = v (t ) = S (t (η)) − S (t ), (283) η η η we obtain ∗ ∗ −[a]S (t ) −[a]S (t ) −[a][S (t )−S (t )] η η η η − − F (t,η,λ)e dt = e F (t,η,λ)e dt γ γ C ,η C ,η ∗ 2 dv −[a]S (t ) [a]v = e e F (t (v), η, λ) . v (t (v)) −δ η (284) dt Since v (t ) is biholomorphic in B(1/2, 2r ) for every η ∈ Ω , both and η + dv F (t (v), η, λ) are analytic for v ∈ B(0,δ ) by Lemma 6.So F (t (v), η, λ) n 2 = b (η, λ)v =: b (η, λ) + vb (η, λ) + v R (v,η,λ) (285) n 0 1 2 v (t (v)) n=0 where 2 1 F (t (w), η, λ) b (η, λ) = F (t (η), η, λ) , b (η, λ) = dw 0 n − ∗ n+1 −S (t (η)) 2πi v (t (w))w − |w|=δ η η (286) for n ≥ 1, where, by construction, δ< δ .Wehave ∗ 2 dv −[a]S (t ) [a]v e e F (t (v), η, λ) v (t (v)) −δ ∗ 2 −[a]S (t ) [a]v 2 = 2e e b (η, λ) + v R (v,η,λ) dv, (287) 0 2 where R is the even part of R . By the assumptions of the Lemma, 2 2 F (t (v), η, λ) K := max max . (288) v∈∂ B(0,δ ) v (t (v)) (η,λ)∈Ω ×B (0,δ ) ∗ + ∗ η 27 Page 56 of 59 M. Bertola et al. K is ﬁnite. By Cauchy’s estimate we now have |b (η, λ)| ≤ (289) 2n 2n so that for v ∈[0,δ], ∞ ∞ 2(n−1) K δ K 2(n−1) |R (v,η,λ)| = b (η, λ)v ≤ ≤ =: R. 2 2n 2 2 2 δ δ δ − δ ∗ ∗ n=1 n=1 (290) Note that R = O(M ). We ﬁx a sufﬁciently large M. Using a second change of variable −τ =[a]v , we rewrite (287)as ∗ 2 dv −[a]S (t ) [a]v e e F (t (v), η, λ) = v (t (v)) −δ η ∗ 2 −[a]S (t ) −[a]δ e b (η, λ) τ −τ −τ √ e √ − R t ,η,λ dτ (291) [a] [a] −[a] τ Using now the asymptotics of the Incomplete Gamma function (see [24] 8.2.2, 8.2.11), we have −[a]δ −τ 1/2−1 2 [a]δ e τ dτ = Γ(1/2) −Γ(1/2, −[a]δ ) = π + O −[a]e (292) as λ → 0 and −[a]δ −τ −τ 3/2−1 e τ R t ,η,λ dτ [a] −[a]δ −τ 3/2−1 3/2 [a]δ ≤ R e τ dτ = R Γ(3/2) + O (−[a]) e (293) with the error term being uniform with respect to η, λ.Now we have −[a]S (t ) 2 e √ M −[a(λ)]S (t ) F (t,η,λ)e dt = √ b (η, λ) π + O , (294) [a] −[a] C ,η which is equivalent to the statement of the Lemma since, by the hypotheses of the Lemma, b (η, λ) is uniformly bounded away from 0. Next we show that the contribution away from the saddle point is negligible. Diagonalization of the ﬁnite Hilbert transform on two… Page 57 of 59 27 Lemma 8 Assume F (t,η,λ) satisﬁes the hypotheses of Theorem 14. Then, as λ → 0 with λ ≥ 0, we have the bound −[a(λ)]S (t ) −[a(λ)][S (t (η))] −[a(λ)]c η η ∗ F (t,η,λ)e dt ≤ e · e K , (295) LR L+R,η where γ = γ ∪γ and constants c < 0 and K > 0 are η, λ independent. L+R,η L,η R,η ∗ LR Proof Deﬁne c (η) = max S (t ) − S (t (η)) . (296) ∗ η η t ∈γ L+R,η Obviously c (η) is a continuous and negative function of η ∈ Ω . Since Ω is a ∗ + + compact set, the maximal value c of c (η) on Ω is negative. Then ∗ ∗ + −[a(λ)]S (t ) F (t,η,λ)e dt L+R,η ∗ ∗ −[a(λ)][S (t (η))] −[a(λ)] S (t )−S (t (η)) [ ] η − η η − | | ≤ e F (t,η,λ) e dt L+R,η −[a(λ)][S (t (η))] −[a(λ)]c η ∗ ≤ e e |F (t,η,λ)| dt L+R,η −[a(λ)][S (t (η))] −[a(λ)]c η ∗ ≤ e · e K (297) LR where the constant K := max max |F (t,η,λ)| dt . (298) LR η∈Ω λ∈B(0, ) γ L+R,η is ﬁnite by hypotheses of Theorem 14. The combination of Lemmas 7 and 8 proves Theorem 14 provided that λ is in the upper half plane. Remark 18 When λ → 0 in the lower half plane, the key difference is that [a(λ)]→ ∞ (see Proposition 7). With that in mind, rewrite the integrand of (139)as −[a(λ)]S (t ) [a(λ)][−S (t )] η η F (t,η,λ)e = F (t,η,λ)e . (299) We can replace S with −S and carry out the same analysis as before. The only difference will be that the regions in the t plane where [S (t ) − S (t (η))] < 0 and [S (t ) − η η η S (t (η))] > 0 will swap, so we deform [0, 1] to a different contour, see Fig. 8.All previous ideas from this section can now be applied using the new contour γ . 27 Page 58 of 59 M. Bertola et al. Fig. 8 Path of integration when λ is in the lower half plane References 1. Abramowitz, M., Stegun, I.A.: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Dover, New York (1964) 2. Akhiezer, N.I., Glazman, I.M.: Theory of Linear Operators in Hilbert Space, vol. I. Pitman Advanced Publishing Program, Boston (1980) 3. Al-Aifari, R., Defrise, M., Katsevich, A.: Asymptotic analysis of the SVD for the truncated Hilbert transform with overlap. SIAM J. Math. 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