Splitting of a gap in the bulk of the spectrum of random matrices
Benjamin Fahs, Igor Krasovsky

TL;DR
This paper analyzes the probability of two gaps in the eigenvalue spectrum of Gaussian Unitary Ensemble matrices, providing detailed asymptotics for the transition between one large gap and two gaps.
Contribution
It offers explicit uniform asymptotics for gap probabilities and characterizes the transition between single and double gaps in the spectrum.
Findings
Explicit asymptotics for the transition between one and two gaps
Asymptotic terms for the probability of two gaps in the spectrum
Analysis of Toeplitz determinants with symbols on two arcs
Abstract
We consider the probability of having two intervals (gaps) without eigenvalues in the bulk scaling limit of the Gaussian Unitary Ensemble of random matrices. We describe uniform asymptotics for the transition between a single large gap and two large gaps. For the initial stage of the transition, we explicitly determine all the asymptotic terms (up to the decreasing ones) of the logarithm of the probability. We obtain our results by analyzing double-scaling asymptotics of a Toeplitz determinant whose symbol is supported on two arcs of the unit circle.
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Splitting of a Gap in the Bulk of the Spectrum of Random Matrices
Benjamin Fahs
Igor Krasovsky
Abstract
We consider the probability of having two intervals (gaps) without eigenvalues in the bulk scaling limit of the Gaussian Unitary Ensemble of random matrices. We describe uniform asymptotics for the transition between a single large gap and two large gaps. For the initial stage of the transition, we explicitly determine all the asymptotic terms (up to the decreasing ones) of the logarithm of the probability. We obtain our results by analyzing double-scaling asymptotics of a Toeplitz determinant whose symbol is supported on two arcs of the unit circle.
1 Introduction
Let be the union of open disjoint intervals on , and be the (trace-class) integral operator on given by the kernel
[TABLE]
Consider the Fredholm determinant
[TABLE]
For a wide class of random matrix ensembles [1], in particular for the Gaussian Unitary Ensemble, is the probability that the set contains no eigenvalues in the bulk scaling limit where the average distance between the eigenvalues is . In this paper, we are interested in the asymptotics of as , and we study the transition between a single interval to the set composed of 2 disjoint intervals
[TABLE]
Such problems have a rich history, of which we mention some relevant results. For the single interval case ,
[TABLE]
as , where is the Riemann zeta-function. The leading term and logarithmic term in (4) were conjectured by des Cloizeaux and Mehta [5] in 1973, while the constant term remained undetermined until Dyson [9] conjectured an expression for it in 1976, relying on inverse scattering techniques and the work of Widom [16] on Toeplitz determinants (see below). The constant became known as the Widom-Dyson constant. The first rigorous confirmation of the leading term in (4) was given by Widom [17] in 1994. In a landmark paper of 1997, Deift, Its, Zhou [7] were able to confirm the leading term and the logarithmic term, but the proof of the constant continued to defy their techniques. Finally, two independent proofs of the constant were later given by Erhardt [10] and the second author [12], and a further third proof given in [8]. The proofs in [12], [8] use Riemann-Hilbert (RH) methods, while [10] uses operator theoretical techniques.
When is composed of any (fixed) number of intervals, the main term was found and proved by Widom [18] in 1995, where he was also able to identify the next term in the following result:
[TABLE]
as . The constant is explicitly computable, while is an oscillatory function given by a Jacobi inversion problem. In [7], which was mentioned above, the authors were also able to find the full asymptotic expansion for the logarithmic derivative of the determinant on any number of intervals and describe the oscillations in terms of -functions. Here we present their result when is composed of 2 intervals as in (3):
[TABLE]
More precisely, for any , the error term here is of the form
[TABLE]
where , , are bounded periodic functions of . Here
[TABLE]
is the Jacobi Theta-function of the third kind, see e.g. [19]. The constants (in ) , are given in terms of elliptic integrals, and are given in terms of -functions. Let
[TABLE]
with branch cuts on such that for , and let be the unique monic polynomial of degree such that
[TABLE]
where is the limit of as (where the ”+” side is chosen merely for definiteness). Then has no residue at infinity. Hence as , has the form
[TABLE]
which defines the constant appearing in (6).
The parameters appearing in the arguments of the -function in (6) are as follows:
[TABLE]
Integrating (6) in from some large value to , and using the properties of , Deift, Its, and Zhou concluded that
[TABLE]
The value of the constant is unknown as there is no point for the lower limit of integration where would be explicitly known.
In this paper we study the transition between the single interval formula (4) and the two-interval formula (13). We obtain an explicit expression (up to the decreasing terms in the expansion of ) for the asymptotics in the regime where the length of the interval between the gaps decreases sufficiently fast (slightly faster than : see below) as . On the other hand we show that the asymptotics of [7], obtained for fixed gaps, can be extended (with proper adjustments) to the regime when is no longer fixed but decreases sufficiently slowly as . These two regimes overlap. Thus our analysis provides uniform asymptotics for the whole transition. Note, however, that since the constant in (13) is not determined, the expression for the asymptotics in the second regime is not fully explicit. Obtaining an explicit expression for these asymptotics and establishing the constant in (13) is a separate problem and we plan to address it in future work.
The initial phase of the transition between (4) and (13) resembles the birth of a cut — emergence of an extra interval of support of the limiting eigenvalue density in a unitary ensemble of random matrices: asymptotics for the correlation kernel of the eigenvalues in that case were obtained independently by Bertola & Lee [3], Claeys [4], Mo [14]. From the technical point of view, our analysis is very different as we are dealing with so-called hard edges rather than soft edges in [3, 4, 14] and in the context of a different model, so both the g-function needed in the analysis and the local parametrix are different. Moreover, the works [3, 4, 14] deal with correlation kernels and not determinants.
Consider the Toeplitz determinant whose symbol is the characteristic function of a subset of the unit circle :
[TABLE]
where integration is in the positive direction around the unit circle. The proofs of the expansion (4) including the constant term in [8, 12] were based on an analysis of the Toeplitz determinant where is an arc of the unit circle
[TABLE]
The asymptotics of , as , for a fixed arc were found by Widom [16]. In [8, 12], Widom’s result was extended to the case of varying with such that sufficiently slowly. Namely,
[TABLE]
as , uniformly for , for and with sufficiently large. Asymptotics (4) are obtained from (16) by using the fact that
[TABLE]
for fixed and by taking the limit in (16) as with and , where are fixed. The approach of the present paper is based on an analysis of where is the union of 2 arcs , with of sufficiently small length in comparison with (see Theorem 1.2 below). We obtain our results on the sine-kernel determinant by taking the limit of . However, we believe Theorem 1.2 below to be of independent interest for a future study of Toeplitz determinants with symbols supported on several arcs.
1.1 Results
The kernel (1) is translationally invariant and so we can assume the following form for :
[TABLE]
In this paper we provide the asymptotics of (including the constant term) in the double scaling limit as while in such a way that , and connect these asymptotics with those of [7].
Let and
[TABLE]
Clearly, is uniquely represented in the form
[TABLE]
We note that has the form
[TABLE]
We prove the following:
Theorem 1.1**.**
As , uniformly for , where ,
[TABLE]
*where is the Barnes G-function, and where is the leading coefficient of the Legendre polynomial of degree orthonormal on the interval , given by *
[TABLE]
and is given in (4).
As , uniformly for , where (i.e., ), formula (22) reduces to
[TABLE]
where is the Riemann zeta-function.
Remark 1.1**.**
Note that if and while for , then (22) shows that .
Remark 1.2**.**
As we show in Section 5 (Lemma 5.1), the Deift-Its-Zhou asymptotics (6) for 2 fixed gaps where we set , , , can be extended (with a worse error term) to the region where in such a way that
[TABLE]
for any . Clearly, this region overlaps with the region of validity
[TABLE]
of Theorem 1.1. For example, belongs to both regions. In Remark 5.1 we explicitly show the coincidence of the main (order ) asymptotic terms. Full explicit formulas for this matching will be a subject of future work.
Remark 1.3**.**
The function can alternatively be described in terms of the coefficients (23) of the Legendre polynomials:
[TABLE]
Formula (25) shows that is continuous also at the points .
Remark 1.4**.**
The rescaled sine process (with expected distance between particles ) is the determinantal point process with the ’th correlation function , for , given by
[TABLE]
Consider the rescaled sine process conditioned to have no eigenvalues in . Denote this process by and its ’th correlation function by . In Section 4.2, we show that for ,
[TABLE]
as and such that and remain fixed, where
[TABLE]
and is the Legendre polynomial of degree , orthonormal on :
[TABLE]
Recall that for a set and a point process with its -th correlation function denoted , we have
[TABLE]
The process with kernel is a -point process. Thus we obtain from (27) and the first equation of (30) that, as and such that and remain fixed, the expected number of -tuples of on converges to [math], while the expected number of -tuples on the same interval converges to . It follows from the second equation of (30) that
[TABLE]
Thus the asymptotics of as depends on the value of , and we give an overview of the various scaling limits:
- •
If , the asymptotics are given by (4).
- •
If as , such that , the asymptotics are given by Theorem 1.1.
- •
If is of order or larger, the asymptotics of Theorem 1.1 breaks down and the transition to the asymptotic formula (13) containing -functions takes place. This is discussed in Section 5.
- •
If is fixed, the asymptotics are given by the -function regime (13).
For Toeplitz determinants, we obtain the following result. Let be given by (14) with where
[TABLE]
with some . Then, with the notation of Theorem 1.1, we have
Theorem 1.2**.**
*As , uniformly for , where and
,*
[TABLE]
where the expansion of is given in (16) with , .
We use Theorem 1.2 to prove Theorem 1.1.
Proof of Theorem 1.1. It is well-known that
[TABLE]
as for fixed , a fact which we also prove in the appendix for the reader’s convenience. Taking the limit in (33), we then obtain (22). To obtain (24), we substitute (4) for , and note that the standard asymptotics of the Barnes G-function as
[TABLE]
imply that as ,
[TABLE]
Furthermore, we note that as .
1.2 Outline of the proof of Theorem 1.2
It remains to prove Theorem 1.2.
Let and define where are as in Figure 1:
[TABLE]
We denote the complement of as where
[TABLE]
It follows from the integral representation for Toeplitz determinants (see (295) in the Appendix) that for all . Consider the polynomials for given by
[TABLE]
where the leading coefficient is given by
[TABLE]
and we set . The polynomials are orthonormal with weight on :
[TABLE]
Define a matrix in terms of these orthogonal polynomials as follows:
[TABLE]
Then is the unique solution of the following Riemann-Hilbert (RH) Problem
- (a)
is analytic;
- (b)
possesses boundary values and on the and side of , respectively, related by the condition:
[TABLE]
- (c)
as .
The fact that orthogonal polynomials satisfy a RH problem was first observed for polynomials orthogonal on the real line by Fokas, Its, Kitaev [11], and extended to polynomials orthogonal on the unit circle by Baik, Deift, Johansson [2]. The RH problem provides an efficient tool, via the Deift-Zhou steepest descent method, for the asymptotic analysis of the polynomials, see e.g. [6].
In Section 2 we express the logarithmic derivative of the Toeplitz determinant in terms of the polynomials and . These are, in turn, expressed in terms of . In Sections 3 and 4 we analyse the RH problem for as in a double scaling limit where depends on such that for ; where such that ; where such that , while and remain fixed. As a result, we obtain the asymptotics of . Substituting these into the differential identity for , and integrating with respect to , we obtain the asymptotics of , where , and is a function of , which proves Theorem 1.2.
2 Differential Identity
We will now obtain the following:
Proposition 2.1**.**
(Differential identity) Let . The Toeplitz determinant satisfies
[TABLE]
where
[TABLE]
and was given in (37).
Proof.
From the definition of the orthogonal polynomials it is clear that
[TABLE]
The orthogonality conditions imply that
[TABLE]
and similarly,
[TABLE]
[TABLE]
On the other hand, one can express given in (44) in terms of the orthogonal polynomials:
[TABLE]
Now the Christoffel-Darboux formula for orthogonal polynomials gives
[TABLE]
(see eg. [12]), and hence (48) can be written as
[TABLE]
Since, by (50) and orthogonality, , we obtain
[TABLE]
upon which Proposititon 2.1 follows immediately.∎
3 Analysis of Riemann-Hilbert problem
We start by setting so that is a point, and then let develop into an arc. Throughout the rest of the paper we use the notation
[TABLE]
We let such that , and let as such that , while remain constant. Denote where
[TABLE]
Let be the function:
[TABLE]
where the square root has branch cut on and is positive as , and the logarithm has a branch cut for and is positive for . At infinity,
[TABLE]
The boundary values of the function satisfy
[TABLE]
and at we have
[TABLE]
Alternatively, for we can write in the following form:
[TABLE]
On the and side of , we have
[TABLE]
from which it follows that maps the side of to and the side to , and that maps to the outside of the unit disc.
Set
[TABLE]
for . Note that and remain bounded as . Then
[TABLE]
where is analytic in at the point [math]. Thus has the following expansion in at the point
[TABLE]
where
[TABLE]
as .
Define
[TABLE]
where the square root has a branch cut on , and is positive as . Let
[TABLE]
where integration is taken in counter-clockwise direction. It is easily verified by differentiation that
[TABLE]
for any constant and some function . Thus
[TABLE]
The function has a logarithmic singularity at and a jump on , such that
[TABLE]
The jump conditions (69) also imply that
[TABLE]
As ,
[TABLE]
On the interval we can alternatively write in the following form:
[TABLE]
With the notation of (61) we can write
[TABLE]
Then we can expand at the point :
[TABLE]
where
[TABLE]
as .
We define the -function by:
[TABLE]
where is a constant yet to be fixed. The jump conditions for and imply that
[TABLE]
We define the local variable on a disc containing the interval (but not the points ), by
[TABLE]
The jump conditions for imply that the function is analytic in . The precise radius of will be determined later on by requiring that the mapping be conformal on .
Since maps to the exterior of the unit disc, we have
[TABLE]
For with some , it follows from (72) that
[TABLE]
Now consider, as a function of ,
[TABLE]
By (79) and (80) it follows that if we let in (78) then (81) is smaller than 2, and if we instead set then (81) is equal to . Since (82) is monotone in , there exists, for , a unique value for such that
[TABLE]
We define so that satisfies (82). From (59) and (72), it follows that . By (63) and (74) we have the following expansion at the point :
[TABLE]
In what follows, it will be apparent that in the limit and . Moreover, by (64) and (75),
[TABLE]
Substituting these expansions into (83), which we in turn substitute into (82), we obtain
[TABLE]
or upon taking the logarithm,
[TABLE]
Therefore,
[TABLE]
Using the definition of , and in (55), (68), (78), and the expansion of in (87), it is easily seen that there are constants independent of such that has at least one zero in the set
[TABLE]
By (84) and expansion (87), may be chosen such that
[TABLE]
as and so is conformal on the following disc
[TABLE]
for for some fixed . Thus we define to be the set (90).
We define as
[TABLE]
and as
[TABLE]
It follows by (77) that satisfies the following RH problem:
- (a)
is analytic.
- (b)
has the following jumps on :
[TABLE]
- (c)
As ,
[TABLE]
The jump of on factorizes as
[TABLE]
Define
[TABLE]
Then the jumps of are induced by and we obtain by (77) that for
[TABLE]
and similarly
[TABLE]
We proceed to open the lenses around as in Figure 2.
Proposition 3.1**.**
For on the edges of the lense in Figure 2 such that for some fixed , there exists a constant independant of such that
[TABLE]
as and for sufficiently small.
Proof.
Since sends to the outside of the unit disc, it is clear that for we have
[TABLE]
Let denote the function defined as in (55), but with replaced with Then maps to the inside of the circle and for we have the relation
[TABLE]
It follows that if , then
[TABLE]
Using (98), (100), the definition of , and the fact that as , it follows that lies in interior of the unit disc for sufficiently close to the interval , and in particular that
[TABLE]
uniformly for on the lense that is opened around in Figure 2, except near the endpoints and , for some constant .
Consider and at . Let . From (68) we have, with ,
[TABLE]
It follows from (69) and (102) that is analytic at , and we have
[TABLE]
Likewise, we let . Then at the point we have the expansion
[TABLE]
where means on the side and on the side of the unit circle (so the jumps agree with (69)).
We evaluate using the definition (55):
[TABLE]
From (105) and (57), we have that is analytic at , and that at the point we have the expansion
[TABLE]
Likewise we expand at the point :
[TABLE]
Consider now a neighbourhood of . The error terms in (103), (106) are uniform for for some sufficiently small . By (103), (106) and the fact that , it follows that there is a constant independant of for sufficiently small such that
[TABLE]
as . Thus from (108) it follows that there exists such that for all we have
[TABLE]
as , and for sufficiently small. The same may be shown at the point , concluding the proof. ∎
Let
[TABLE]
Then satisfies the following RH problem:
- (a)
is analytic, where as shown in Figure 2.
- (b)
On , has the following jumps:
[TABLE]
- (c)
As ,
[TABLE]
3.1 Main parametrix
In the region , we approximate the RH problem for by a main parametrix , which satisfies the RH problem:
- (a)
is analytic.
- (b)
On and , has the following jumps:
[TABLE]
- (c)
As ,
[TABLE]
A solution to the RH problem for is given by
[TABLE]
where is a constant matrix and
[TABLE]
with branch cuts on and such that and as . For , let be defined such that
[TABLE]
Then is given by
[TABLE]
where it follows from the jumps of (69) that is analytic for , and
[TABLE]
The function defined in (112) will solve the RH problem for with any constant matrix , which we will define later in (128). The reason for the prefactor in (112), which does not affect the jump conditions for , will become apparent later on.
3.2 Model RH problem
Consider the following RH problem for , where :
- (a)
is analytic for given .
- (b)
has boundary values for satisfying
[TABLE]
- (c)
As ,
[TABLE]
It is well-known by the standard theory and is easy to verify that the unique solution to this RH problem is given by
[TABLE]
where are the Legendre polynomials of degree with positive leading coefficients, orthonormal on :
[TABLE]
and we denote the first 3 leading coefficients as follows:
[TABLE]
Writing the large expansion of (118) and using orthogonality in the second column, we obtain that
[TABLE]
When we have
[TABLE]
It is well known that has the explicit representation for :
[TABLE]
where . As a consequence, the coefficients in (120) are given by
[TABLE]
for respectively. From (118), (123), (124), it follows that for ,
[TABLE]
3.3 Local parametrix at
Recall that defined by (90) is an open disc containing and that as the radius of is of length for some . On we defined a local variable in (78). We define the local parametrix on by
[TABLE]
where is given by (118), and where is an analytic function on given by
[TABLE]
with constant matrices and defined below. From (59) and (72) we see that . We let and . Then , and so has a jump on induced by that of on . is a constant, nilpotent matrix
[TABLE]
where
[TABLE]
where was defined in (71) and is a constant matrix given in terms of elements of (121)
[TABLE]
The factor in is needed to cancel the would be non-smallness in the matrix elements of originating from for and for (see Proposition 3.2 below) so that and match to the main order on the boundary for all . This factor, however, has a pole at , but we need to be analytic in . As is easy to verify, the analyticity of (i.e. the absence of a pole at ) is achieved by choosing as defined in (128).
Proposition 3.2**.**
As and , we have the following matching condition uniformly on the boundary :
[TABLE]
where
[TABLE]
and , and are given by (138) below. We have, uniformly for on the boundary ,
[TABLE]
Proof.
First, assume that is bounded. Since
[TABLE]
we have on the boundary that (recall (76), (112), (117), (127))
[TABLE]
It follows from (64), (87), (129) that
[TABLE]
as and . Denote
[TABLE]
From (135), the boundedness of for , and the fact that the radius of equals for some , we have
[TABLE]
as and , uniformly for . From (134) and (136) it follows that take the form
[TABLE]
From (63)–(64), and recalling (87) and the fact that as , it follows that
[TABLE]
as , uniformly on the boundary . Similarly, substituting (84) into (83) and recalling (87), we have
[TABLE]
as , uniformly on the boundary . From (83) and (84) we have
[TABLE]
as . Using (141) it follows from (121) and (124) that
[TABLE]
as (for finite ). Combining (137)–(142) the proposition is proven for bounded .
Now consider . From Stirling’s formula we have
[TABLE]
as . Thus (135) holds uniformly for . We study the particular double scaling limit where , and from (85), (141) we have that in such a manner that . Thus using (143) we find that as
[TABLE]
We also find that as and such that
[TABLE]
Thus we know the large behaviour of , and upon substituting into (138) this yields (132). It remains to calculate the error terms of order and higher, and in particular establish their behaviour as with . We rely here on the work by Kuijlaars, McLaughlin, Van Assche and Vanlessen in [13] where the authors found uniform error terms for the Legendre polynomials as . In the remaining part of the proof of the proposition, we let denote the functions found in [13]. We compare to from (118) in the present paper:
[TABLE]
where the parameter in [13] is set to be here. For bounded away from it follows from equations (3.1), (4.2), (5.5), (7.1) in [13] that
[TABLE]
By the form of in (147) above and formula (8.11) in [13] it is clear that
[TABLE]
as , where and are bounded for and the term is uniform for . As and such that , , we have
[TABLE]
It follows from (147)-(148) that as and
such that , ,
[TABLE]
where, in particular, and are bounded for and the term is uniform for . By comparing (149) with (117) it follows that as and such that , ,
[TABLE]
∎
3.4 Model RH problem
The following RH problem has a solution in terms of Bessel functions.
- (a)
is analytic, where , with , and with orientation taken in the direction of increasing real part.
- (b)
has continuous boundary values on satisfying the following jump conditions:
[TABLE]
- (c)
As , has the following asymptotics:
[TABLE]
- (d)
As , the behaviour of is
[TABLE]
This RH problem has a solution given in [13], in terms of Bessel functions. For definitions and properties of Bessel functions see [15]. We take the principal branches of the Bessel functions. For , we have
[TABLE]
For we the solution is given by
[TABLE]
For it is defined as
[TABLE]
We have the following useful asymptotics as for and :
[TABLE]
3.5 Local parametrix at and
Let and be discs of radius for some fixed but sufficiently small , centered at and respectively. Recalling for , we have on . For , define
[TABLE]
where was defined in (94). Recall the notation for . By (103) and (106) we have the following expansion of for in a neighbourhood of [math]:
[TABLE]
and by considering (77) in addition, one verifies that is analytic on .
Recall from (58), (70) that and define
[TABLE]
where denotes the unit disc. Then is analytic, with a square root singularity at . We define the local variable
[TABLE]
which is analytic on . Then, by (104) and (107), has the following expansion at :
[TABLE]
and by considering (77) in addition, one verifies that is analytic on .
The local parametrix is given by
[TABLE]
on the side of the contour , where and . As a consequence of the expansions of above, we have
[TABLE]
and recalling the definition of in (112), one may verify that is analytic on . Recalling the jumps of in (95)–(96) and jumps of in (77), one verifies that the jumps of match those of on .
Since, recalling (129), as while remains bounded, we have that is uniformly bounded on , and it follows that uniformly for we have the following matching condition of and
[TABLE]
as . A simple calculation yields
[TABLE]
as , where the part is analytic on . Similarly, as we have:
[TABLE]
again with analytic.
3.6 Small norm RH problem
We define as follows:
[TABLE]
Using standard small norm analysis, it follows from Proposition 3.2, (168)-(169) and the fact that the contour lengths are for as and as that given ,
[TABLE]
uniformly for .
If then it follows from Proposition 3.2, and (168)-(169) that
[TABLE]
where is the largest element of in absolute value for , and where the matrices are given by
[TABLE]
with clockwise orientation taken in the integrals.
4 Asymptotic analysis of the differential identity and correlation functions
4.1 Asymptotics of
From (42) we have
[TABLE]
By the transformations and at , (see (92), (110), (170)) and recalling that is positive, we find from (174) that
[TABLE]
From the definition of in (76) and in (91) it follows by computing , in (55), (68) that
[TABLE]
so that
[TABLE]
By (171)
[TABLE]
as . Furthermore, we note that and that as , and substitute this into the definition of in (112) to find
[TABLE]
as . Substituting (178) into (177) and recalling the notation (129) it follows that
[TABLE]
as . We note that as , and thus we have
[TABLE]
as .
4.2 Convergence of correlation functions
Let be the kernel built out of the orthogonal polynomials on
[TABLE]
By the Christoffel-Darboux formula, also has the following useful form
[TABLE]
where for . Let be defined similarly, but for the special case where , namely:
[TABLE]
Let be the ’th correlation function of the determinantal point process with correlation kernel , and let be the ’th correlation function of the same process conditioned to have no points in . Then
[TABLE]
The two correlation functions are also related as follows:
[TABLE]
Similarly, we can write in terms of (both defined in Remark 1.4):
[TABLE]
The infinite sums (185) and (186) can be seen to converge for fixed by Hadamard’s inequality. Since
[TABLE]
as , it follows by formulas (186) and (185) that
[TABLE]
as for fixed (similarly to convergence of the determinants (34), see the Appendix).
By the definition of in (42) and the formula for in (182) we have
[TABLE]
where for . For the asymptotics of the correlation kernel we are less ambitious and choose not to proceed with all the detail in last section, and work with bounded away from as . Since the intention of and was to obtain uniform asymptotics up to the points , we can let in and when we consider bounded away from . Then, in place of Proposition 3.2, we have as and such that and remain fixed, uniformly on the boundary . Thus in the same limit, and tracing back the transformations we have, by (92), (110), (170), that for :
[TABLE]
where is given in (91), and in (129). Thus it follows by (118), (180), the fact that is real to the main order and that
[TABLE]
as , that as and such that , while and remain fixed we have
[TABLE]
Since and as , it follows by continuity of the polynomials that can be replaced by in (192) without modifying the error term. Similarly, by (85), can be replaced by without modifying the error terms. Thus, combining (192) and (188), we prove the statement in Remark 1.4.
4.3 Expansion of Differential Identity
In this section we start by writing the differential identity in a more convenient form, and find an expansion for it as and such that and , before proceeding to integrate it in Section 4.4. Throughout the rest of the paper, the implicit constants in are independent of . For example, if we write then in particular it is uniform in , and if we write , it means this expression is bounded in the double scaling limit described above.
Write the parametrix in (126) in by grouping the factors as follows
[TABLE]
where and are by
[TABLE]
By the transformations and at , (see (92), (110), (170)) we have for
[TABLE]
where
[TABLE]
and
[TABLE]
The expression for in (197) is valid for , while for , we have
[TABLE]
It follows that
[TABLE]
where we suppress dependency on the variable on the right hand side, and where ′ denotes differentiation with respect to . Substituting (180), (195), (199) into (43) we find that
[TABLE]
for . We would now like to evaluate and . Since is real for real on , it follows that is real. Consider the entries of and recall that is real for , and that and are purely imaginary. By (197), is real and so is purely imaginary, while is purely imaginary and is real. From (59), we recall that is real for . Thus . From these observations, we find that
[TABLE]
When , both expressions in (201) are equal to [math].
4.3.1 Evaluation of (201)
Using the expansion for from (83)–(84), and the fact that from (82), we find that
[TABLE]
We substitute the expansion of from (83) into (197), and recall (121)-(125), to find
[TABLE]
Using the expression
[TABLE]
which follows from (125), we compute the following:
[TABLE]
We also have
[TABLE]
where the derivative is taken with respect to . We now evaluate . Let denote the constant
[TABLE]
We have the derivatives of and with respect to evaluated at :
[TABLE]
Let and denote the following functions:
[TABLE]
Then, using (196), (208) and (209), expand . When
[TABLE]
where we denote for . When
[TABLE]
We note that
[TABLE]
Recalling (129), (113), (207), it is readily checked that
[TABLE]
and that as ,
[TABLE]
From (210), (211), (213)–(214) it follows that
[TABLE]
[TABLE]
where was defined in (203).
Proposition 4.1**.**
We have
[TABLE]
and , where was given in (129) and was defined in (131).
The main term of Proposition 4.1 is easy to calculate from (209) and (113), but we defer the rest of the proof to Section 4.5.
From (125), (203) we obtain that
[TABLE]
Recall that . Combining (201), (206), (215), (218), and using Proposition 4.1 gives us
[TABLE]
4.3.2 Evaluation of (200)
Suppressing dependence, we write
[TABLE]
Recall that , and that . From (210) and (211) we obtain that for
[TABLE]
When , we have , while is as in (221) for .
From (87) we have that , and thus substituting into (85) we have
[TABLE]
Recalling the expansion of in (63)–(64) and the definition of in (127), and substituting the values of and from (124)–(125) into the expansion of from (203), we obtain that for ,
[TABLE]
When (and ) we have
[TABLE]
Substituting (214), (217), (223) into (221) we find that
[TABLE]
when evaluated at . When (and ), we have , while is given by
[TABLE]
Finally we find the order of the term which includes in (200). Using the equation for in (173), it is readily seen that
[TABLE]
We recall that the radius of is of size , and that the radius of is of size for . Thus
[TABLE]
Substituting the asymptotics for from (132) and from (167) into (227), it follows that
[TABLE]
Thus, we have from (209), since , that also
[TABLE]
The formula for is given by (210), (211) but with replaced by the derivatives . Recall that
[TABLE]
From (229) we obtain that
[TABLE]
By substituting (216), (219), (220), (231) into the definition of from (200), and substituting the resulting expression into the expression for the differential identity (43), we obtain the following proposition.
Proposition 4.2**.**
We have the following asymptotics for , as and such that and :
[TABLE]
where the integration variable , and where the asymptotics of are given in (216) and the asymptotics of are given in (225).
4.4 Integration of Differential Identity
We evaluate the integral in formula (232) asymptotically to prove Theorem 1.2.
Using (222), (129) we find that
[TABLE]
Letting in the expression for in (233) be fixed, we integrate in , denoting
[TABLE]
Note that by (124) with ,
[TABLE]
We integrate from (225), changing the variable of integration using (233) and recalling from (207) and from (233) to find that for ,
[TABLE]
where is given in (223), .
When we have for
[TABLE]
where, in the error term, . Similarly, we integrate for :
[TABLE]
When and , we have . Thus, for ,
[TABLE]
If , then for
[TABLE]
We keep the term in (240) as it is not uniform in , and is not small as approaches .
[TABLE]
Similarly but simpler, using (225) and (233), we find that for ,
[TABLE]
where . When we again keep track of the error term
[TABLE]
When , we have , and thus the integral of over for is given by (237). For any and , combining (237), (239), (240), (242)
[TABLE]
By (241) and (243), it follows that for , is given explicitly as
[TABLE]
Furthermore, by (216) (which holds for all ) and Proposition 4.1, we find that
[TABLE]
for and for .
4.4.1 Proof of Theorem 1.2
We sum together (244), (246), and substitute the result into (232), to find that
[TABLE]
where . The first sum can be evaluated by noting that
[TABLE]
and, it follows that
[TABLE]
The sum with the leading coefficients is given by
[TABLE]
where is the Barnes G-function. By substituting (249), (250) into (247) we find that
[TABLE]
Now define , , and
[TABLE]
Then, by (233),
[TABLE]
It is an easy exercise using (253), the continuity of as functions of , and (251) to show that
[TABLE]
Substituting the asymptotics from (251) into (254), and using uniformity of the error terms, we prove Theorem 1.2.
4.5 Proof of Proposition 4.1
We consider the small norm matrices, and we prove Proposition 4.1. From (209) it follows that
[TABLE]
where denotes the value of the largest element of the matrix in absolute value. From (212) we have
[TABLE]
It follows from Proposition 3.2, (168)–(169), (173) that
[TABLE]
From (255)–(257), it follows that
[TABLE]
We will evaluate and to prove Proposition 4.1.
We recall from (173) that is a sum of 3 terms. The first term is an integral of , and the two other terms are integrals of and . We first evaluate the contribution from the terms and .
4.5.1 Contribution to from and
It follows from (168) and (169) that
[TABLE]
as and respectively, and that the matrices and are given as follows as
[TABLE]
We recall that is real to the main order and from (129), (212) we have
[TABLE]
Since the interior of the bracket in (260) is imaginary to main order, we can calculate the residue in the integral of (259) to find:
[TABLE]
4.5.2 Contribution to from
Denote
[TABLE]
with branch cuts on such that the square root is positive as . Our goal is to evaluate the terms in (138), and given a matrix we denote
[TABLE]
Define and by
[TABLE]
Then from (138) it follows that
[TABLE]
Recalling the definition of in (127), the definition of in (128), and the definition of in (136), we find that
[TABLE]
We analyze the sign of in (265). From (129) and (212) we have
[TABLE]
From (263) we see that
[TABLE]
for . Write (265) in the form
[TABLE]
where are analytic functions in in . Then a calculation of residues gives the following expansion as :
[TABLE]
We note that is real on , and recall the expansion of in (83)–(84). We also note that , and that is real but that and are imaginary. Combining with (265)–(270), we conclude that
[TABLE]
As a consequence of (262) and (271) we have
[TABLE]
4.5.3 Order of
[TABLE]
By inspection of the signs of each element, it follows that
[TABLE]
The remaining contributions to , defined in (138), are calculated using rougher estimates from (257). Thus it follows that
[TABLE]
Substituting (272) and (274) into (258) yields Proposition 4.1.
5 Connection to the asymptotics of [7]
Consider the Deift-Its-Zhou asymptotics (6) for 2 fixed gaps . Without loss of generality, we assume that . We also denote , . The following lemma shows that these asymptotics can be extended (with a worse error term) to the region where is decreasing at a sufficiently slow rate as . This gives a connection to the asymptotics of Theorem 1.1 (see Remark 1.2 following Theorem 1.1).
Lemma 5.1**.**
Let . As , uniformly for where is fixed and s.t.
[TABLE]
we have
[TABLE]
where are defined in equations (12), (11) above with , , ; , and () with the closest integer to .
Proof.
Consider the setup of [7] for 2 gaps . In the notation of [7], , , , . We now verify that, if tends to zero at a sufficiently slow rate with , the jump matrices of the matrix in the Deift-Its-Zhou RH problem remain uniformly close to the identity, and therefore the analysis of [7] is extendable into that region. We encircle the end-points of the gaps by nonintersecting discs. Note that the discs around , will have to contract as tends to zero, we choose their radia to be . For the matching of the local parametrices and the global one on the boundaries of the discs, we need, in particular, the parameter (see (4.100), (4.102), etc in [7])
[TABLE]
to be uniformly large in absolute value on the boundary of the disc around . Here , , where , and the value of the constant is determined by the equation
[TABLE]
To analize the integrals in the limit , we split the interval , and change the integration variable in the integration over the first one. We then obtain
[TABLE]
where . And therefore, (277) gives
[TABLE]
Substituting this expansion into (276), we obtain that
[TABLE]
on the boundary of the disc around ( is independent of , , ). Similarly, we carry out the analysis around the other end-points of the gaps and obtain that the inequality (282) holds for the relevant quantities on the boundaries of all the disc around the end-points of the intervals. In the notation of [7], this means that
[TABLE]
uniformly on the boundaries of the discs.
To prove the lemma, we need to verify that the jump matrices in (4.123) in [7] have the form on the jump contour Figure 4.122 in [7] in the asymptotic regime of the lemma. First, on the boundaries of the discs (see Figure 4.122 in [7]),
[TABLE]
where (see (3.42) in [7])
[TABLE]
Here and , are as in (8) and (12),
[TABLE]
The sheet of the Riemann surface is chosen such that , . The constant , and is chosen such that the zero of coincides with the zero of (which is inside ). Note (see [7]) that has no other zeros, and has no zeros. Thus is analytic outside and clearly the limit . Moreover by standard arguments based on Liouville theorem, for all . Furthermore [7], modulo the lattice , m,n\in\mbox{\mbox{\msbm Z}}.
In the limit , we have the expansions
[TABLE]
and therefore
[TABLE]
Note that, using the inversion formula () for the theta-functions, we can write
[TABLE]
where
[TABLE]
We can now esimate the matrix elements of on the boundaries of the discs. On the boundary of the disc around , we have , where with a suitable . Recalling periodicity properties of the theta-function, , we write for some uniformly on the boundary
[TABLE]
Similar estimate holds for the other elements of (we replace and in the off-diagonal elements with their derivatives at their zero). In the same vein, using the behaviour of , one obtaines similar estimates on the discs around the other end-points. (Note that, e.g., at , we can assume ). Recalling (283) we thus conlude that uniformly on these boundaries
[TABLE]
Adjusting , we can write this estimate as . The error term here is not small at the point , and we analyse the case of close to separately below. Assume for now that . Then (289) is the estimate we need to prove the lemma in this case. It remains, however, to obtain the same, or better, estimate for on the intervals outside the discs, where (Figure 4.122 in [7]),
[TABLE]
Since by definition of ((1.17) in [7] or (10) in the introduction),
[TABLE]
the estimation of is similar to that of above, and we obtain that and
[TABLE]
on the intervals outside the discs, and so
[TABLE]
with some constant independent of . Substituting this into (290), we obtain as above,
[TABLE]
uniformly on the intervals outside the discs. Combining this result with (289), we see that the estimate
[TABLE]
holds uniformly on the whole contour for in the asymptotic regime of the lemma, and therefore the lemma is proved in the case by the arguments of [7].
Now consider the remaining case . Let
[TABLE]
where is chosen so that . Consider the following function which solves the same jump conditions (given in [7]) as
[TABLE]
Here
[TABLE]
The sheet of the Riemann surface is chosen as before such that , . It is easy to verify that has 2 zeros , . As , . The constant is chosen such that the zero of coincides with the zero of . As in [7], Abel theorem then shows that modulo the lattice. Furthermore, has no other zeros, and has no zeros. Thus is analytic outside and the limit . It follows by standard arguments that for all . We also note that the limit
[TABLE]
has but is not the identity as before. By standard uniqueness arguments
[TABLE]
The construction of local parametrices around the edge points is similar to that in [7]. The definition of the new -matrix is now as follows: in the discs around the end-points and outside. The jump matrices for at the boundaries of the discs have the same form as before
[TABLE]
and a similar (to the one above) examination of the order of on the boundaries shows that uniformly
[TABLE]
As before, a better estimate holds on the rest of the jump contour of . Thus the asymptotics obtained holds in the regime , for . To finish the proof of the lemma it only remains to verify (275) for . By Equation (3.9) in [7],
[TABLE]
where is the coefficient in the large expansion . (Below, we also use , .) By our definition of ,
[TABLE]
and therefore, using also (292),
[TABLE]
We have , and since has the same order as the error term in (293), .
Thus
[TABLE]
But it was shown in [7] (Equation (3.48)) that , and we again obtain (275) now for . The lemma is proved.
∎
Remark 5.1**.**
In the overlap region of the asymptotics of Theorem 1.1 and the lemma, we can explicitly see, as an exercise, the coincidence of the main terms. Indeed, from (11), with , , ,
[TABLE]
Substituting here the expansion (281), we obtain
[TABLE]
Since , we see that this gives exactly the main (order ) term in (24).
Remark 5.2**.**
Integration of the asymptotics of the lemma is related to the determination of the constant in (13) which will be addressed in a future publication.
Acknowledgements
We are grateful to Tom Claeys for useful discussions and suggestions. The work of I.K. was partially supported by the Leverhulme Trust research fellowship RF-2015-243.
Appendix
We include a proof of the well-known formula (34), using arguments from [6]. As mentioned in the introduction, the gap probability of gaps in the bulk scaling limit is given by the sine-kernel Fredholm determinant (2) for a wide class of random matrix ensembles. A particular such ensemble is the Circular Unitary Ensemble (CUE), which is the group of unitary matrices equiped with the Haar measure. The Haar measure induces a probability measure on the eigenvalues of the matrix given by
[TABLE]
From Heine’s identity and (294), it follows that the probability that there are no eigenvalues on a set , where is the unit circle, is given by the following
[TABLE]
where was defined in (14). Denote where
[TABLE]
Using the definition (294) it is easily seen that
[TABLE]
where . Let
[TABLE]
It follows that
[TABLE]
The kernel has the reproducing kernel property, meaning that for
[TABLE]
where
[TABLE]
From (295), we see that
[TABLE]
The Fredholm determinant of a trace-class operator acting on a set can be represented as
[TABLE]
For bounded and , one may verify that the sum indeed converges using Hadamard’s inequality. Let be given by (32), and be the complement. Recall from (18). Noting (299), we apply (300) to (302) to find that
[TABLE]
where
[TABLE]
For fixed , as , we have
[TABLE]
Since the sum (303) converges,
[TABLE]
as , for , where remains fixed and uniformly for for some . From (306), it follows that for fixed but arbitrarily large ,
[TABLE]
as . Thus it follows that
[TABLE]
as and remains fixed.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] G. Akemann, J. Baik, P. Di Francesco, The Oxford Handbook of Random Matrix Theory , Oxford University Press, 2011.
- 2[2] J. Baik, P. Deift, K. Johansson, On the distribution of the length of the longest increasing subsequence of random permutations, J. Amer. Math. Soc. 12 (1999), 1119–1178.
- 3[3] M. Bertola, S.Y. Lee, First Colonization of a Spectral Outpost in Random Matrix Theory, Constr Approx 30 (2009) 225–263.
- 4[4] T. Claeys, Birth of a Cut in Unitary Random Matrix Ensembles, Int. Math. Res. Not. IMRN 6 (2008).
- 5[5] J. des Cloizeaux, M.L. Mehta, Asymptotic behaviour of spacing distributions for the eigenvalues of random matrices, J. Math. Phys 14 (1973) 1648–1650.
- 6[6] P. Deift, Orthogonal polynomials and random matrices: a Riemann-Hilbert approach , Courant Lecture Notes in Mathematics, 1998.
- 7[7] P. Deift, A. Its, Xin Zhou, A Riemann-Hilbert problem approach to asymptotic problems arising in the theory of random matrix models, and also in the theory of integrable statistical mechanics, Ann. of Math. 146, no. 1 (1997) 149–235.
- 8[8] P. Deift, A. Its, I. Krasovsky, X. Zhou, The Widom-Dyson constant for the gap probability in random matrix theory, Journal of Computational and Applied Mathematics 202 (1) (2007) 26–47.
