- •Preface
- •Foreword
- •The Henri Poincaré Prize
- •Contributors
- •Contents
- •Stability of Doubly Warped Product Spacetimes
- •Introduction
- •Warped Product Spacetimes
- •Asymptotic Behavior
- •Fuchsian Method
- •Velocity Dominated Equations
- •Velocity Dominated Solution
- •Stability
- •References
- •Introduction
- •The Tomonaga Model with Infrared Cutoff
- •The RG Analysis
- •The Dyson Equation
- •The First Ward Identity
- •The Second Ward Identity
- •The Euclidean Thirring Model
- •References
- •Introduction
- •Lie and Hopf Algebras of Feynman Graphs
- •From Hochschild Cohomology to Physics
- •Dyson-Schwinger Equations
- •References
- •Introduction
- •Quantum Representation and Dynamical Equations
- •Quantum Singularity Problem
- •Examples for Properties of Solutions
- •Effective Theory
- •Summary
- •Introduction
- •Results and Strategy of Proofs
- •References
- •Introduction
- •Critical Scaling Limits and SLE
- •Percolation
- •The Critical Loop Process
- •General Features
- •Construction of a Single Loop
- •The Near-Critical Scaling Limit
- •References
- •Black Hole Entropy Function and Duality
- •Introduction
- •Entropy Function and Electric/Magnetic Duality Covariance
- •Duality Invariant OSV Integral
- •References
- •Weak Turbulence for Periodic NLS
- •Introduction
- •Arnold Diffusion for the Toy Model ODE
- •References
- •Angular Momentum-Mass Inequality for Axisymmetric Black Holes
- •Introduction
- •Variational Principle for the Mass
- •References
- •Introduction
- •The Trace Map
- •Introduction
- •Notations
- •Entanglement-Assisted Quantum Error-Correcting Codes
- •The Channel Model: Discretization of Errors
- •The Entanglement-Assisted Canonical Code
- •The General Case
- •Distance
- •Generalized F4 Construction
- •Bounds on Performance
- •Conclusions
- •References
- •Particle Decay in Ising Field Theory with Magnetic Field
- •Ising Field Theory
- •Evolution of the Mass Spectrum
- •Particle Decay off the Critical Isotherm
- •Unstable Particles in Finite Volume
- •References
- •Lattice Supersymmetry from the Ground Up
- •References
- •Stable Maps are Dense in Dimensional One
- •Introduction
- •Density of Hyperbolicity
- •Quasi-Conformal Rigidity
- •How to Prove Rigidity?
- •The Strategy of the Proof of QC-Rigidity
- •Enhanced Nest Construction
- •Small Distortion of Thin Annuli
- •Approximating Non-renormalizable Complex Polynomials
- •References
- •Large Gap Asymptotics for Random Matrices
- •References
- •Introduction
- •Coupled Oscillators
- •Closure Equations
- •Introduction
- •Conservative Stochastic Dynamics
- •Diffusive Evolution: Green-Kubo Formula
- •Kinetic Limits: Phonon Boltzmann Equation
- •References
- •Introduction
- •Bethe Ansatz for Classical Lie Algebras
- •The Pseudo-Differential Equations
- •Conclusions
- •References
- •Kinetically Constrained Models
- •References
- •Introduction
- •Local Limits for Exit Measures
- •References
- •Young Researchers Symposium Plenary Lectures
- •Dynamics of Quasiperiodic Cocycles and the Spectrum of the Almost Mathieu Operator
- •Magic in Superstring Amplitudes
- •XV International Congress on Mathematical Physics Plenary Lectures
- •The Riemann-Hilbert Problem: Applications
- •Trying to Characterize Robust and Generic Dynamics
- •Cauchy Problem in General Relativity
- •Survey of Recent Mathematical Progress in the Understanding of Critical 2d Systems
- •Random Methods in Quantum Information Theory
- •Gauge Fields, Strings and Integrable Systems
- •XV International Congress on Mathematical Physics Specialized Sessions
- •Condensed Matter Physics
- •Rigorous Construction of Luttinger Liquids Through Ward Identities
- •Edge and Bulk Currents in the Integer Quantum Hall Effect
- •Dynamical Systems
- •Statistical Stability for Hénon Maps of Benedics-Carleson Type
- •Entropy and the Localization of Eigenfunctions
- •Equilibrium Statistical Mechanics
- •Short-Range Spin Glasses in a Magnetic Field
- •Non-equilibrium Statistical Mechanics
- •Current Fluctuations in Boundary Driven Interacting Particle Systems
- •Fourier Law and Random Walks in Evolving Environments
- •Exactly Solvable Systems
- •Correlation Functions and Hidden Fermionic Structure of the XYZ Spin Chain
- •Particle Decay in Ising Field Theory with Magnetic Field
- •General Relativity
- •Einstein Spaces as Attractors for the Einstein Flow
- •Loop Quantum Cosmology
- •Operator Algebras
- •From Vertex Algebras to Local Nets of von Neuman Algebras
- •Non-Commutative Manifolds and Quantum Groups
- •Partial Differential Equations
- •Weak Turbulence for Periodic NSL
- •Ginzburg-Landau Dynamics
- •Probability Theory
- •From Planar Gaussian Zeros to Gravitational Allocation
- •Quantum Mechanics
- •Recent Progress in the Spectral Theory of Quasi-Periodic Operators
- •Recent Results on Localization for Random Schrödinger Operators
- •Quantum Field Theory
- •Algebraic Aspects of Perturbative and Non-Perturbative QFT
- •Quantum Field Theory in Curved Space-Time
- •Lattice Supersymmetry From the Ground Up
- •Analytical Solution for the Effective Charging Energy of the Single Electron Box
- •Quantum Information
- •One-and-a-Half Quantum de Finetti Theorems
- •Catalytic Quantum Error Correction
- •Random Matrices
- •Probabilities of a Large Gap in the Scaled Spectrum of Random Matrices
- •Random Matrices, Asymptotic Analysis, and d-bar Problems
- •Stochastic PDE
- •Degenerately Forced Fluid Equations: Ergodicity and Solvable Models
- •Microscopic Stochastic Models for the Study of Thermal Conductivity
- •String Theory
- •Gauge Theory and Link Homologies
Large Gap Asymptotics for Random Matrices
Igor Krasovsky
Abstract Asymptotic behavior is discussed of the sine-kernel and Airy-kernel Fredholm determinants related to random matrices.
Let Ks(j ), j = 1, 2 be the trace-class operators with kernels |
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K(1)(x, y) |
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sin(x − y) |
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K(2)(x, y) |
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Ai(x)Ai (y) − Ai(y)Ai (x) |
(1) |
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acting on L2(0, 2s) and L2(−s, ∞), respectively. We are interested in the behaviour of the following Fredholm determinants, the so called sine-kernel and Airy-kernel determinants,
Ps(j ) = det(I − Ks(j )), j = 1, 2, |
(2) |
as s → +∞. In the Gaussian Unitary Ensemble of random matrices [11], Ps(1) is the probability, in the bulk scaling limit, that there are no eigenvalues in the interval (0, 2s); while Ps(2) is the probability, in the edge scaling limit, that there are no eigenvalues in the interval (−s, +∞) (Ps(2) is the distribution of the largest eigenvalue). The asymptotics of Ps(j ) as s → +∞ are often referred to as the large gap asymptotics.
We will describe the main steps of the method of computing the asymptotics of Ps(j ) used in [4, 5, 10]. However, we leave out all the Riemann-Hilbert analysis and just state its results when needed. The details are given in the 3 mentioned publications.
First, we discuss the case of the sine-kernel. In [7], Dyson found that
Igor Krasovsky
Department of Mathematical Sciences, Brunel University West London, Uxbridge UB83PH, UK,
e-mail: Igor.Krasovsky@brunel.ac.uk
V. Sidoraviciusˇ (ed.), New Trends in Mathematical Physics, |
413 |
© Springer Science + Business Media B.V. 2009 |
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414 |
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Igor Krasovsky |
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ln Ps(1) = − |
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ln s + c0 + |
a1 |
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+ · · · , |
s → +∞, |
(3) |
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where |
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c0 = |
ln 2 |
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(4) |
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Here ζ (z) is the Riemann zeta-function. The constants a1, a2, were also identified in [7]. The first 2 leading terms in the expansion (3) were found earlier by des Cloizeaux and Mehta [6]. The results in [6] and [7] were not fully rigorous.
The fact that the first leading term in (3) is correct was proved in [14] by Widom. The full asymptotic expansion of (d/ds) ln Ps was obtained rigorously by Deift, Its, and Zhou in [3]. This result proves (3) up to the expression for c0. The final step, a proof that c0 is given by (4), was carried out recently and in 3 variants: by Ehrhardt [8], by the author [10], and by Deift, Its, Zhou, and the author in [4]. The methods of [10] and [4] are closely related and we will now describe a “hybrid” approach based on these 2 papers.
For a function f (θ ) integrable over the unit circle, the Toeplitz determinant with symbol f is given by the expression:
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2π |
e−i(j −k)θ f (θ )dθ |
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(5) |
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Dn(f ) = det 2π 0 |
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A Toeplitz determinant has the following two useful representations: |
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2π |
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Dn(f ) = |
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(6) |
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(2π )nn |
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Dn(f ) = χk−2, |
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(7) |
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j =0 |
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where χk are the leading coefficients of the polynomials φk (z) = χk zk |
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k = 0, 1, . . . orthogonal with weight f (θ ) on the unit circle. If f (θ ) is real and nonnegative,
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2π |
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φk (eiθ )φm(eiθ )f (θ )dθ = δkm, k, m = 0, 1, . . . . |
(8) |
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To obtain the asymptotics of the Fredholm determinants, we represent them as double-scaling limits of Toeplitz (for the sine-kernel case) and Hankel (for the Airykernel case, see below) determinants. Let
f (θ ) |
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fα (θ ) |
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α < θ < 2π − α |
(9) |
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otherwise. |
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Large Gap Asymptotics for Random Matrices |
415 |
Now observe that
Ps(1) = nlim Dn(f2s/n). |
(10) |
→∞ |
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This fact is actually used in random matrix theory to obtain the sine-kernel determinant; it was also used by Dyson in [7]. Note that if we could find the asymptotics of the polynomials orthogonal with weight (9), and in particular, the asymptotics of χk , k → ∞, we would obtain by (10) and (7) part of (3) but not the constant c0, as the product of the first χ0χ1 · · · χk0 would remain undetermined. However, this difficulty can be resolved. We start with the following identity, which can be obtained from (7):
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|φn(eiα , α)|2 − |
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φn(e−iα , α)eiα φn(eiα , α) + c.c. , |
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ln Dn(fα ) = |
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(11) |
where φk (z, α) are the polynomials orthogonal w.r.t. fα given by (9), and φk (z, α) are their derivatives w.r.t. the variable z. To use this identity, we now need to find the asymptotics of the polynomials appearing in the r.h.s. We do this by solving the Riemann-Hilbert problem associated with these polynomials using a steepest descent approach of Deift and Zhou [2]. (Riemann-Hilbert formulation for orthogonal polynomials was first observed in the case of orthogonality on the real line by Fokas, Its, and Kitaev in [9].) This step of the analysis is technically the most involved one. If we substitute the results in the r.h.s. of (11), we obtain
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ln Dn(fα ) = − |
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8 cot |
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+ O |
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n sin2(α/2) |
for all n > s0 with some fixed s0. A crucial fact is that this expansion holds and the
error term is uniform for |
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≤ α < π . We will now integrate this identity. |
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First, we can obtain an expression for Dn(fα ) as α → π from below. Changing |
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in (6) and expanding the integrand in π − α, we |
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obtain |
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Dn(fα ) = |
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as α → π from below and n is fixed. Here |
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is a Selberg integral. Using its asymptotics as n → ∞, we obtain from (13)
416 |
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Igor Krasovsky |
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ln D |
(f |
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= |
n2 ln |
π − α |
− |
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ln n |
+ |
c |
0 + |
δ |
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π, (15) |
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where c0 is given by (4) and δn → 0 as n → ∞ (δn depends only on n).
Now we can integrate the identity (12) from α close to π to α ≥ 2s0/n and use (15) at the lower integration limit. We thus obtain the following general formula:
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ln Dn(α) = n2 ln cos |
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4 ln n sin |
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+ c0 |
+ O n sin(α/2) |
+ δn, (16) |
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for |
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Note that for a fixed α, as n → ∞ (16) reproduces a result of Widom [13] for |
the asymptotics of a determinant on a fixed arc of the unit circle, which was used by Dyson to conjecture the value of c0 (4).
Setting α = 2s/n, s > s0 in (16), and letting n → ∞, we obtain by (10) |
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Ps(1) = nlim Dn(f2s/n) = − |
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4 ln s + c0 |
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with c0 given by (4). This, in particular, completes the proof for the constant term c0 in (3). Note that the present approach can be used to compute further terms in the asymptotic expansion.
We now turn our attention to the Airy-kernel determinant, Ps(2), known as the Tracy-Widom distribution. In [12], Tracy and Widom found a connection of Ps(2) with the Hastings-McLeod solution of the Painlevé II equation, and also observed that
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ln det(I − Ks ) = − |
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as s → +∞, |
(18) |
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where the values of b3, b6, . . . are extracted from the asymptotics of the Hastings-
McLeod solution, and |
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This value of χ was conjectured in [12] based on numerical evidence and by taking into account a similar expression for the constant c0 in (4). A proof was given by Deift, Its, and the author in [5], and another proof by Baik, Buckingham, and DiFranco appeared in [1]. Here we discuss the approach used in [5], stressing its similarities to the method in the case of the sine-kernel described above.
For a function w(x) integrable over the real half-line (0, ∞), consider the Hankel determinant with symbol w:
DnH (w) = det 0 |
∞ xj +k w(x)dx |
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(20) |
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j,k=0 |
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Large Gap Asymptotics for Random Matrices |
417 |
Just as in the case of a Toeplitz determinant, the Hankel determinant DnH has the following two useful representations:
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∞ |
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(21) |
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With so defined wα (x), the following analogue of (10) holds:
(2) |
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(25) |
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Using (22) we can obtain the following differential identity:
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ln DH (w |
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(26) where pk (x, α) = κk (α)xk + · · · are the polynomials orthogonal on (0, α) with weight wα (x), and the prime denotes differentiation w.r.t. the argument x.
A Riemann-Hilbert analysis of the polynomials pk (x, α) as k → ∞ produces the asymptotic expression for the r.h.s. of (26), and we have
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. (27) |
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ln DnH (wα ) = |
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O |
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dα |
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n|1 − α|3/2 |
This expansion holds uniformly in α (0, 1 − s0/(2n)2/3] for all n > s03/2/2, where s0 is some (large) fixed number.
To proceed as in the case of the sine-kernel, we estimate first DnH (wα ) for α → 0, where a series expansion can be written. This is done by an analysis of (21), and we obtain (cf. the derivation of (13)):
418 |
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Igor Krasovsky |
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DnH (wα ) = |
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as α → 0 from |
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by (14). Note that Dn |
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· · · 0 |
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k!2. |
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k=0
(Both An and DnH (w∞) can also be computed using the formula (22) for the Legendre and Laguerre orthogonal polynomials, respectively.)
Using the asymptotics of An and DnH (w∞) for n → ∞, we conclude that (cf. (15))
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ζ ( 1) |
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ln |
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where δn depends on n only, and δn → 0 as n → ∞. |
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Now we can integrate the identity (27) from α close to 0 to |
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and use (30) at the |
lower integration limit. We obtain for any 0 |
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s0/(2n)2/3, and any n > s |
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DnH (wα ) |
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O n(1 |
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Set here α = 1 − s/(2n)2/3, s > s0, and let n → ∞. By (25) we obtain |
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(2) |
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DH |
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which gives the first 3 terms of (18). Further terms can be obtained in this way as well.
Let us again stress that our approach [10, 4, 5] to compute the asymptotics for the above Fredholm determinants is based on approximating them with Toeplitz