On determinant expansions for Hankel operators
Gordon Blower, Yang Chen

TL;DR
This paper explores determinant expansions related to Hankel operators and orthogonal polynomials, providing new formulas and conditions for Wiener-Hopf operators, with applications to hypergeometric functions and explicit examples.
Contribution
It introduces new determinant formulas for Hankel operators and Wiener-Hopf operators, extending previous results and providing explicit factorization examples.
Findings
Determinant of Wiener-Hopf operators expressed as Hankel operator products.
Conditions under which these determinants relate to hypergeometric functions.
Explicit examples of Wiener-Hopf factorization for specific symbols.
Abstract
Let be a semiclassical weight which is generic in Magnus's sense, and the corresponding sequence of orthogonal polynomials. The paper expresses the Christoffel--Darboux kernel as a sum of products of Hankel integral operators. For , let be the Wiener-Hopf operator with symbol . The paper gives sufficient conditions on such that where and are Hankel operators that are Hilbert--Schmidt. For certain , Barnes's integral leads to an expansion of this determinant in terms of the generalised hypergeometric . These results extend those of Basor and Chen [2], who obtained likewise. The paper includes examples where the Wiener--Hopf factors are found explicitly.
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Taxonomy
TopicsMathematical functions and polynomials · Quantum Mechanics and Non-Hermitian Physics · Spectral Theory in Mathematical Physics
On Determinant Expansions for Hankel Operators
Gordon Blower a and Yang Chenb
a Corresponding author: [email protected]
Department of Mathematics and Statistics, Lancaster University,
Lancaster, LA14YF, United Kingdom
bDepartment of Mathematics, University of Macau,
Avenida da Universidade, Taipa, Macau, China
17 January 2019
Abstract Let be a semiclassical weight which is generic in Magnus’s sense, and the corresponding sequence of orthogonal polynomials. The paper expresses the Christoffel–Darboux kernel as a sum of products of Hankel integral operators. For , let be the Wiener-Hopf operator with symbol . The paper gives sufficient conditions on such that where and are Hankel operators that are Hilbert–Schmidt. For certain , Barnes’s integral leads to an expansion of this determinant in terms of the generalised hypergeometric . These results extend those of Basor and Chen [2], who obtained likewise. The paper includes examples where the Wiener–Hopf factors are found explicitly.
Key words: orthogonal polynomials, special functions, Wiener-Hopf, linear systems
Acknowledgements Gordon Blower acknowledges the generous support as a Distinguished Visiting Scholar at the University of Macau. Yang Chen gratefully acknowledges the generous support of the Macau Science and Technology Development Fund under the grant numbers FDCT 130/2014/ A3 and FDCT 023/2017/A1 and the University of Macau through MYRG2014-00011-FST and MYRG2014-0004-FST.
1. Introduction
Definition 1.1**.**
(i) Let . Then the Hankel operator with scattering function is the integral operator
[TABLE]
which is densely defined in . (The term scattering function is not to be confused with symbol function.)
(ii) Let . Then the Hankel matrix corresponding to is , which gives a densely defined operator in
Given a trace class Hankel operator , the spectrum consists of [math] and a sequence of eigenvalues , listed according to algebraic multiplicity, such that converges. Then we define the Fredholm determinant of by . For Hilbert–Schmidt , we define the Carleman determinant by .The purpose of the present paper is to compute Fredholm determinants such as , using operator theory and tools from linear systems.
The function
[TABLE]
is even, integrable and of rapid decay at infinity and has Fourier transform
[TABLE]
The Wiener–Hopf operator on is . The Wiener–Hopf factorization
[TABLE]
was considered by Basor and Chen [2], who obtained various identities for determinants of related Hankel operators on . The following integral plays a central role in their analysis
[TABLE]
where is Euler’s gamma function, and and are real. Integrals of this form were used by Mellin, Barnes and Meier [11] page 49 to develop theories of special functions.
In section four, we introduce an algebra of complex functions on a strip containing such that each invertible has a Wiener –Hopf factorization , and we consider the Wiener–Hopf operator of with symbol . Then in section 5, we consider the functions
[TABLE]
[TABLE]
and the Hankel integral operators and . The main Theorem 5.1 gives sufficient conditions for the formula
[TABLE]
along with sufficient conditions for the Hankel operators to be self-adjoint.
Self-adjoint bounded Hankel operators have been characterized up to unitary equivalence by the results of [20]. The methods of [20] emphasized the importance of linear systems, and in this paper, linear systems are used to obtain expansions of the Fredholm determinant . In section 6, we consider Wiener–Hopf factorizations which lead to Barnes’s integrals as in (1.5), so that and have explicit expansions in terms of exponential bases. When interpreted with suitable linear systems, these formulas give expansions of in terms of the generalised hypergeometric . These results extend those of Basor and Chen [2], who obtained likewise. In section 7, we make specific choices of and interpret our results in particular examples.
Example 1.2*.*
In the theory of random Hermitian matrices, the following example arises frequently. Let be a continuous, positive and integrable weight on . Then we can take such that
[TABLE]
gives a probability measure on In (1.11), we identify with a Hankel determinant.
For a bounded and measurable function , we define the linear statistic and consider the exponential moment generating function
[TABLE]
In particular, with , we have , which is a monic polynomial of degree . Moreover, Heine [13] showed that is the sequence of monic orthogonal polynomials with respect to the weight . We introduce Then the Hankel determinant
[TABLE]
satisfies
[TABLE]
and . In section 3, we consider how Fredholm determinants are related to finite Hankel determinants when the weight is semiclassical in Magnus’s sense [19]. Our results continue the analysis by Tracy and Widom [32].
2. Linear systems and associated Hankel operators
The results of this section enable us to use linear system methods to compute Fredholm determinants of Hankel operators. For a complex separable Hilbert space , we let be the space of bounded linear operators on with the usual operator norm of , and the ideal of trace class operators; then for , let be the ideal of operators such that the Schatten -norm \|T\|_{{\mathcal{L}}^{p}(H)}=\bigl{(}{\hbox{trace}}(T^{\dagger}T)^{p/2}\bigr{)}^{1/p} is finite.
The Mellin transform gives a unitary transformation from . Let be the right half-plane and let be the Hardy space of holomorphic functions on such that is finite. By the Paley–Wiener Theorem, the Mellin transform gives a unitary transformation that restricts to the orthogonal subspaces
to .
Let be the Laguerre polynomial of order [math] and degree ; then gives an orthonormal basis of . Taking the Laplace transform of the , we obtain an orthonormal basis for the space , namely
[TABLE]
With , we introduce the standard Hilbert sequence space , with the standard orthonormal basis and introduce the usual shift operator by the operation on . There is an unitary map . We have unitary maps between the Hilbert spaces
[TABLE]
where the top arrow is the Mellin transform, the maps down on the left is the change of variables for and , and the bottom arrow across is the expansion in terms of the Laguerre basis. The diagonal arrow is the Laplace transform, and the right downward arrow is given by expansion with respect to (2.1).
There are several equivalent expressions for the Hilbert–Schmidt norm of Hankel operators that appears here. Suppose that , and extend them to by letting for all . Then by a simple Fourier transform calculation as in [5]
[TABLE]
Let be the space of infinitely differentiable functions that have compact support.
Lemma 2.1**.**
(Basor, Tracy [6]) Suppose momentarily that is real and even, so . Then the Mellin transform and the Fourier cosine transform of the function satisfy
[TABLE]
Proof.
The fractional derivative
[TABLE]
has Mellin transform
[TABLE]
where is the usual Mellin transform of . Hence by the Plancherel formula for the Mellin transform
[TABLE]
∎
Proposition 2.2**.**
The following is a commuting diagram of linear isometries, in which the top arrow is the Fourier cosine transform, and the left downwards arrow is the Mellin transform.
[TABLE]
We show that trace class Hankel operators on Hardy space have a matrix representation with respect to reproducing kernels on the state space. Let and ; then we introduce the usual Hardy spaces and which are related by the unitary involution . We regard as a closed linear subspace of and let be the orthogonal projection. For , let be the multiplication operator . The Laplace transform gives a unitary isometry .
Given , suppose that is a bounded Hankel operator. Then by Nehari’s and Fefferman’s theorems [23], there exists such that
[TABLE]
Note that determines up to an additive constant; adding a constant to does not change of . See [23]
Let be the state space and let with the graph norm. Then we introduce the linear system by
[TABLE]
The semigroup operates by multiplication on the state space and is strongly continuous, so Let be the function , so that for all and ; one calls the reproducing kernel of . The various conjugates are introduced so that we can work with analytic, as opposed to anti-analytic, functions.
Lemma 2.3**.**
Let and be such is convergent.
(i) Then the series converges in and ;
(ii) the operators and for are trace class on ;
*(iii) is unitarily equivalent to the Hankel integral operator on with *
Proof.
(i) The series converges in since converges. Also, , so ; hence we can choose in the above, and deduce that belongs to with norm . Hence by Lemma 2.2 of [23], for all with
[TABLE]
(iii) One can easily check that , hence
[TABLE]
We introduce
[TABLE]
From the expansion of as a series of rank one kernels , we deduce that is trace class with One then checks that
[TABLE]
the simplest way to do this is by selecting and , so that
[TABLE]
Also, we deduce that
[TABLE]
[TABLE]
(ii) Hence we can write
[TABLE]
so . Hence and are trace class operators.
Alternatively, one can introduce the sequence of which satisfies and . Then one can show that is unitarily equivalent to a trace-class Hankel operator on the Hardy space of the unit disc, by Peller’s criterion [24, page 232]. Incidently, Peller’s criterion is sharp.
∎
Any bounded Hankel integral operator generates a sequence of moments, in the following sense. For , let be the Hankel integral operator and introduce the moment sequence
[TABLE]
Magnus has characterized the moment sequences that arise as for a semi classical weight on some subset of , as we discuss in the next section.
3. From orthogonal polynomials to Hankel determinants
Let be the sequence of monic orthogonal polynomials of degree for some continuous and positive weight on , given by the recurrence relation
[TABLE]
Let ; then . Let be the orthogonal projection of onto
[TABLE]
Then the Christoffel–Darboux formula gives
[TABLE]
so that is an integrable operator. We show also that for suitable weights, is a sum of products of Hankel operators.
Definition 3.1**.**
(Magnus, [19]) (i) Let be the Cauchy transform of the weight on . The weight is said to be semi-classical if there exist polynomials with such that
[TABLE]
Equivalently, the moments satisfy a recurrence relation
[TABLE]
for some given by the coefficients of , where is the maximum of the degrees of and .
(ii) A pair of polynomials is said to be generic if has degree where , the degree of is less than , has simple zeros and has all residues that are not integers.
(iii) Let for and for .
Theorem 3.2**.**
Let be a positive and continuous semiclassical weight on that corresponds to a generic pair .
(i) Then there exist such that
[TABLE]
(ii) There exist scattering functions such that, for all as in (1.10),
[TABLE]
where T denotes transpose.
(iii) For with and , the moment generating function of the random variable subject to the probability (1.9) is given by
[TABLE]
where the scattering functions are shifted to and .
Proof.
(i) Magnus [19] shows that for each such polynomial pair, there exists a weight with Cauchy transform and a polynomial such that . From (11) of [19], we have . Then by (17) of [19], there exist polynomials and , and recursion coefficients such that with the matrices
[TABLE]
we have an ordinary differential equation
[TABLE]
where the coefficient matrix is rational with trace zero. The three-term recurrence relation (3.1) for gives a positive sequence and a real sequence such that
[TABLE]
so we have a recurrence relation for the matrices in (3.9)
[TABLE]
where the second matrix has determinant , hence the are uniquely determined. We can therefore follow the approach of section VI of [32]. From the differential equation (3.9),
[TABLE]
where is given explicitly by
[TABLE]
which is rational, symmetric with respect to interchange of variables and symmetric with respect to matrix transpose. From the identity , and cancelling any common zeros of and , we deduce that has no zeros on since for all by hypothesis. Observe also that is finite for all . By selecting the products of functions that depend on one variable, namely or , we can therefore choose and from among the functions in and such that and
[TABLE]
By integration, we obtain
[TABLE]
where as or , so . We can select the so that and are all finite, so and are Hilbert–Schmidt.
(ii) Let for some , so that Then
[TABLE]
We let be and be , as in the Corollary, so
[TABLE]
where the final operator has a matrix kernel
[TABLE]
(iii) For , the point lies in the disc of centre and radius in . Then for the step function we have
[TABLE]
so we have the moment generating function of the number of the that are greater than . Then
[TABLE]
where each entry of the matrix is a product of Hankel operators, with scattering functions shifted to .
∎
Theorem 3.2 involves a Fredholm determinant. The following result gives an equivalent expression involving finite determinants on the numerator. We introduce the block matrix
[TABLE]
Corollary 3.3**.**
Suppose that and is invertible.
(i) Then for any orthogonal projection on with ,
[TABLE]
(ii) Let be the Laguerre polynomial, and let be the orthogonal projection onto
[TABLE]
Then is unitarily equivalent to a finite block Hankel matrix.
Proof.
(i) We have especially chosen so that by Theorem 3.2(iii), we have
[TABLE]
Then the stated result follows from a determinant formula credited to Jacobi; see [2].
(ii) Hankel integral operators correspond to Hankel matrices via the Laguerre orthonormal basis of see [24], page 53. (This is a special feature of the Laguerre polynomials.) To extend this to Hankel integral operators on , we just compute the block Hankel matrix
[TABLE]
which has block entries, and the cross-diagonal pattern that is characteristic of Hankel matrices. ∎
Theorem 3.2 shows that replacing by corresponds shifting to . The shift operation is simple to describe in terms of linear systems, as in (5). Unfortunately, is discontinuous, so is not itself a semiclassical weight, and we cannot immediately deduce a differential equation such as 3.9 for orthogonal polynomials generated by . Nevetheless, Min Chao and Chen [21] derived an ODE for gap probabilities in the Jacobi ensemble.
Hence we replace the step function by
[TABLE]
for and , since as .
As in Theorem 3.2, we suppose that satisfies , where are polynomials, and let . Then there exists such that
[TABLE]
is also generic for all real and and . In particular, we can replace our previous weight by
[TABLE]
then we build the system of monic orthogonal polynomials for the complex bilinear form .
Proposition 3.4**.**
Suppose that is generic.
(i) There exists such that
[TABLE]
is generic for all real and ;
(ii) there exists a consistent system of ordinary differential equations as in (3.8)
[TABLE]
where is a proper rational function of with trace zero, and simple poles at the zeros of and ;
(iii) the consistency condition holds
[TABLE]
Proof.
(i) This is a direct check of the definitions. Then the modified potential has rational, and we obtain a family of pairs of polynomials, depending upon parameters . For given , we can choose such that the Gram-Schmidt process for the bilinear form produces orthogonal polynomials of degree up to , for all .
(ii) Magnus [19] obtains and by recursion, and one checks that the degree of is less than or equal to , while the degree of the denominator is . From his recursion formula (20), the degree of is less than or equal to , so is strictly proper. By Proposition 3.4(ii), we can write
[TABLE]
where the residue matrices depend upon , but not upon . The set of singular points in the Riemann sphere is .
We can take , a complex conjugate pair. Then we fix and some and regard as the main deformation parameter. Then the weight
[TABLE]
is positive and continuous on , so is a real polynomial and . Since the differential equation (3.27) has only regular singular points, the monodromy is fully described in [25] by results of Schlesinger page 148 and Dekkers page 180 in terms of connections of dimension two on the punctured Riemann sphere. Schlesinger found the condition for the system to undergo an infinitesimal change in the poles that does not change the monodromy. Let be the fundamental solution matrix of (3.27), and introduce
[TABLE]
to obtain the required variation in .
(iii) This formula follows from the equality of mixed partial derivatives where is the fundamental solution matrix of (3.27) and . To ensure that the differential equations are indeed consistent, we require
[TABLE]
where by Schlesinger’s equations
[TABLE]
[TABLE]
∎
Corollary 3.5**.**
Suppose in (3.30) that , that is a diagonal matrix and
[TABLE]
Then (3.29) reduces to a Painlevé VI equation.
Proof.
By translating to , we replace the singular points by , so we have variation in only one pole. Then we can apply known results from [15] and [17] to reduce the compatibility condition (3.29) to a Painlevé VI ordinary differential equation. ∎
Remark 3.6*.*
(i) Chen and Its [7] showed that the Hankel determinant gives the isomonodromic function for the system of Schlesinger equations that describe the isomonodromic deformation of (3.27) with respect to the position of the poles. The Schlesinger equations may be solved in terms of the -function on a hyperelliptic Riemann surface, as in [18]. The solutions to the monodromy preserving differential equations have singularities which are poles, except for the fixed singularities. Previously, Magnus [19] had found conditions for the system (3.8) to undergo an isomonodromic deformation, and obtained examples that realise the nonlinear Painlevé VI equation as (3.29).
(ii) Tracy and Widom considered Fredholm determinants for classical orthogonal polynomials [31, 32] and computed in terms of operator kernels. They identified weights that produce Painlevé , , and . For differential equations (3.9) with , that have polynomial coefficients, Palmer [22] identified as the -function of the ODE (3.9) for isomonodromic deformations. His analysis addressed the case in which infinity is an irregular singular point.
(iii) By taking , have and
[TABLE]
In section 7, we consider the behaviour of this determinant for large .
4. Wiener–Hopf Factorization
Fix . Let be the space of functions such that:
(i) is bounded and analytic on ;
(ii) as , uniformly for ;
(iii)
[TABLE]
Let .
Proposition 4.1**.**
(i) Then is a commutative and unital Banach algebra under the usual pointwise multiplication,
(ii) there is a bounded linear map from via the transform (2.17).
Proof.
(i) We take the norm to be
[TABLE]
Evidently is a subspace of the Banach algebra of bounded functions on the strip , hence is an integral domain.
(ii) The Hankel integral operator with kernel on has Hilbert–Schmidt norm satisfing
[TABLE]
where we have used Plancherel’s formula. By Cauchy’s integral formula for derivatives, we have
[TABLE]
Hence is a Hilbert–Schmidt operator.
∎
Employing more classical language, Titchmarsh [30] identified a subgroup of with . Let be typical element of such that as along the imaginary axis and such that has no zeros on the imaginary axis. The function is square integrable for . Then has the form
[TABLE]
where (1) are the zeros of for ,
(2) is the winding number of the contour ,
(3) is holomorphic and bounded on and
[TABLE]
(4) is holomorphic and bounded on with
[TABLE]
See also the results of Rappaport from [27].
The spaces and have intersection by Liouville’s theorem, so and are unique up this additive constant. If , then has no zeros and the middle factor is absent, but we are left with the initial factor incorporating the winding number.
Let be an orthogonal projection on , and introduce the complementary spaces and
For , let be the multiplication operator . Then we introduce , , , by
[TABLE]
Lemma 4.2**.**
Let be the space of such that and , and let
[TABLE]
Then is a subalgebra of such that
[TABLE]
Proof.
For we have , and , so the pointwise multiplication is unambiguously defined. Conversely, suppose that , and observe that
[TABLE]
leading to identities such as
[TABLE]
[TABLE]
The ideal property of the Schatten norm gives
[TABLE]
[TABLE]
and similar inequalities for each entry of (), hence the norm satisfies the submultiplicative property.
∎
Let be the subalgebra of consisting of such that is bounded and holomorphic on the right half plane, and let be the subalgebra of consisting of such that for some Note that by Liouville’s theorem. The following result describes that has no imaginary zeros, but may have zeros elsewhere. For a group, we write for the multiplicative commutator.
Lemma 4.3**.**
(1)Suppose that has no zeros on the imaginary axis,
(2) as , uniformly for ,
(3) the winding number of is zero, and
(4) as for some .
Then there exists such that has a Wiener–Hopf factorization
[TABLE]
such that
*(i) is bounded, holomorphic and free from zeros on *
(ii) is bounded, holomorphic and free from zeros on ;
(iii) as uniformly for .
Proof.
(i), (ii) By hypothesis, has no zeros lie on the imaginary axis, and only finitely many in the strip ; so by choosing sufficiently small, we can ensure that is free from zeros . Then we choose
[TABLE]
[TABLE]
then the functions and satisfy , as in (4.15). Also, we can introduce such that
[TABLE]
and is free from zeros on . Then one can introduce such that
[TABLE]
The convolution of a pair of functions gives a continuous function which vanishes at infinity, so are bounded and holomorphic on the smaller half planes determined by abscissae .
(iii) To obtain the more precise estimate of (iii), we consider with and large; then we take and with conjugate and split the integral
[TABLE]
where we have used Hölder’s inequality on the integrals. The other estimates in (iii) are similar. Likewise, one can show that as
∎
5. Wiener–Hopf determinant
This section contains the main theoretical result, as follows.
Theorem 5.1**.**
Suppose that has a Wiener–Hopf factorization as in Lemma 4.3. Then there exists a scattering function
[TABLE]
such that Hankel operators integral operators and are Hilbert–Schmidt on and
[TABLE]
There are three particular cases that arise under the following hypotheses:
(i) if and only if and are real, so that and are self-adjoint;
(ii) if and only if , in which case the Carleman determinants satisfy
[TABLE]
(iii) if and only if the operator is self-adjoint.
Any pair of these conditions implies the other one.
Proof.
By the Lemma 4.3, we can choose such that
[TABLE]
both belong to and satisfy ; hence
[TABLE]
Now the operators are invertible, and and for all . So we have
[TABLE]
so taking the determinant of the inverse of the right-hand side
[TABLE]
We also have
[TABLE]
so
[TABLE]
Taking the unitary conjugation by the Fourier transform, we have and , where
[TABLE]
[TABLE]
the difference in signs in the quotients reflecting the tilde on .
Hence and belong to and determine bounded Hankel operators. We proceed to realise these via linear systems. Let and . Then we introduce the linear systems and by
[TABLE]
Then and . Also, and are Hilbert–Schmidt by Proposition 4.1. Hence is a trace class operator, and is well defined.
Suppose that the linear system realises . Then the matrix system
[TABLE]
realises
[TABLE]
For finite matrices and , we have
[TABLE]
so by a simple approximation argument in Hilbert–Schmidt norm
[TABLE]
Hence
[TABLE]
(i) Now by uniqueness of the Fourier transform, is real if and only if .
(ii) Likewise if and only if , which reduces to the stated condition. If , then
[TABLE]
is determined by the spectrum of the scalar-valued Hankel operator . The nature of the spectrum is determined in [20, 24].
(iii) Evidently is self-adjoint, if and only if ; that is .
Finally, one considers the cases (i), (ii) and (iii) as they apply to ∎
As in Corollary 3.3, we can reduce the Fredholm determinant of Hankel operators to related determinants. Let and be orthogonal projections on such that Then
[TABLE]
Self-adjoint block Hankel matrices have been characterized up to unitary equivalence, as in Theorem 2 of [20].
Corollary 5.2**.**
Let and
[TABLE]
where the zeros and poles satisfy
[TABLE]
Then there exists a linear system as in (5) such that
[TABLE]
(i) Also, and are real.
(ii) Suppose further that and and for . Then and is self-adjoint.
Proof.
(i) For , let be such that . Then
[TABLE]
is meromorphic with poles at and zeros at , all in the open upper half plane. By considering the error term in Stirling’s formula, one can prove that as along the real axis.
Likewise, for , let be non zero real numbers such that . Then
[TABLE]
is meromorphic with poles at and zeros at , all in open lower half plane, and as along the real axis.
Hence and belong to and and determine bounded Hankel operators. We proceed to realise these via linear systems. Let and . Then we introduce the linear systems and by
[TABLE]
Then and . Also, and are Hilbert–Schmidt. Hence is a trace class operator, and is well defined.
(i) Here we have and , so and are real.
(ii) This is a special case of (ii) of the Theorem.
∎
6. Determinant expansions
In case (ii) of the Corollary 5.2 we can compute and explicitly. Theorem 1.4 page 237 of [24] shows that a Hankel operator is trace class if and only if it has a nuclear expansion as a series of Hankel operators of rank one. So to compute and as trace class operators on , we select a sequence of exponential functions in so that has a nuclear expansion in terms of rank one Hankel operators; ultimately, this will enable us to compute the determinant of compressed to in terms of an infinite matrix. For large , most of the entries of this matrix are very small, so this is a practicable means for computing the determinant. Our method follows [9].
Let and where so . We consider
[TABLE]
where we have used the formula ; now we take an integral round a semicircular contour in the left half plane and sum over the residues at poles near the negative real axis of to obtain
[TABLE]
where we have picked out the factor that contributes the pole, so
[TABLE]
where
[TABLE]
and stands for the omitted term in the denominator, and we have written this expression in terms of the generalized hypergeometric functions, as in [11], page 182. There is a similar formula for in which replaces
Without loss of generality, we suppose , so taking the term from , we have
[TABLE]
and likewise with , taking the term from , we have
[TABLE]
We replace the doubly indexed family of powers by a singly indexed sequence by introducing and and , thus obtaining the sequences
[TABLE]
[TABLE]
where there is a recurring pattern of length . With the coefficients given above, suitably re-indexed, let
[TABLE]
Proposition 6.1**.**
Suppose that and are as in (6.8), (6.9) and (6.10). Then the determinant from Corollary 5.2 is given by
[TABLE]
Proof.
We have a series of rank-one kernels
[TABLE]
where converges, so is trace class on . Then we introduce the linear systems with .
[TABLE]
and likewise
[TABLE]
when we combine them into
[TABLE]
with scattering function
[TABLE]
and write . We also consider the operator
[TABLE]
To help compute the Fredholm determinant of , we also let and be defined by
[TABLE]
[TABLE]
We observe that is trace class, and likewise is trace class since converges absolutely. Whereas is not an orthogonal basis, the map is injective by Lerch’s theorem and is dense in .
Then we observe that and , so that
[TABLE]
hence
[TABLE]
With respect to the standard orthonormal basis of , we have a matrix representation
[TABLE]
for the top right corner of as in (6), and
[TABLE]
for the bottom left corner of as in (6).
Whereas is not quite the transpose of , the matrices have a high degree of symmetry which becomes clear when we make our expansion of the determinant. For a finite subset of , let be the cardinality of , and be Vandermonde’s determinant formed from with naturally ordered. For an infinite matrix , and , let be the determinant formed from the submatrix of with rows indexed by and columns indexed by , naturally ordered. Then
[TABLE]
by the Cauchy–Binet formula. Then by Cauchy’s formula, the summand involving is
[TABLE]
Hence we have the determinant expansion of
[TABLE]
∎
We now make an approximation, similar to (2.30) from [2]. Suppose that is large, so that we only need retain the largest terms, which arise from , that is ; then
[TABLE]
Definition 6.2**.**
For a domain in , a divisor is function such that has no limit points in . In particular, the function given by for and for is a divisor.
The set of all divisors on forms an additive group . For each meromorphic function, we associate the divisor given by the sum of for each zero of order at , and for each pole of order at . For -functions, it is convenient to have the following shorthand. For we write
[TABLE]
[TABLE]
There is an additive subgroup of generated by the and with , so that every arises from a quotient of products of Gamma functions, and contains all finitely supported divisors.
7. Examples
Example 7.1*.*
(i) Suppose that Then there exists such that and . Hence we can apply Corollary 5.2 to for the Wiener–Hopf factors
[TABLE]
(ii) This example arises via the scattering amplitude in one-dimentional scattering theory. Let , and consider the Schrödinger equation with even potential . There exist and even solution and and odd solution such that
[TABLE]
such that
[TABLE]
[TABLE]
so is the phase shift. Let the reflection coefficient be . Then with , we introduce and
[TABLE]
as in [10]. In section 5.7 of [10], the authors interpret as a theta function on an infinite-dimensional torus, and obtain series expansions for the determinant. In the current paper, we use the exponential series (2.13) and (6.12) instead, which lead to formulas (6) which resemble those on 5.7 and 5.8 in [10].
In particular, consider the Schrödinger equation
[TABLE]
Then the scattering amplitude is the coefficient of for large when is the scattering function. Then
[TABLE]
which has divisor, in terms of ,
[TABLE]
Example 7.2*.*
Meier’s -function [11] page 206 is
[TABLE]
where we take all the in with degree , which we take to be negative. Then the divisor for the quotient of Gamma functions in the integrand is
[TABLE]
Then the integral converges for .
One can express various applications of Corollary 4.3 in terms of .
Example 7.3*.*
Hankel matrices also arise from functions on the finite-dimensional real torus. Let and observe that Struve’s function [28, page 127] has Mellin transform
[TABLE]
which is holomorphic on ; see [28]. Also, for and , we have as , so as and
[TABLE]
hence by Plancherel’s formula, we have
[TABLE]
We have the determinant of the finite Hankel matrix
[TABLE]
where the final formula resembles the Weyl integration formula for a class function on the symplectic group .
The following example gives a case in which moments satisfy a type of recurrence relation, but do not quite satisfy the conclusions of the Theorem (3.2). The linear system representation is found explicitly.
Proposition 7.4**.**
For , introduce the weight for . Then the moment matrix defines a bounded linear operator on which is not Hilbert–Schmidt.
Proof.
Here as , and as . The moments satisfy
[TABLE]
and generally
[TABLE]
where by integrating by parts, one obtains
[TABLE]
so by solving the recurrence relation
[TABLE]
we obtain
[TABLE]
hence
[TABLE]
the final term includes the sum
[TABLE]
where here is Euler’s constant. Hence the Cauchy transform
[TABLE]
diverges at some points with . Also diverges, so the Hankel moment matrix is not Hilbert–Schmidt.
Nevertheless, the Hankel moment matrix defines a bounded linear operator on . To see this, we transform to Hankel integral operators on via the Laguerre functions. With standing for Bessel’s function of the first kind of order zero, the orthonormal Laguerre functions in satisfy
[TABLE]
We introduce the scattering function
[TABLE]
which we can express as an integral
[TABLE]
By Webber’s integral [GR, 6.63(4); E ITv1,4.14(25), p. 185], the inside integral is
[TABLE]
so we have, on substituting ,
[TABLE]
It is convenient to introduce the incomplete Gamma function
[TABLE]
and write
[TABLE]
We now express as the scattering function of a continuous time linear system. Let the state space be , with dense linear subspace . Then for , we introduce the linear system by
[TABLE]
the corresponding scattering function is
[TABLE]
Then we introduce the operator
[TABLE]
which is the integral operator on that has kernel
[TABLE]
Evidently is the composition of Hilbert’s Hankel operator with kernel and multiplication by so is bounded on Operators of this form were considered by Howland [16]. ∎
8. Application of equilibrium problem to linear statistics
In this section we consider
[TABLE]
with particular emphasis on where is convex and is a step function. Then the exponent in numerator of the expression (1.10) involves
[TABLE]
We regard this as the electrostatic energy associated with positive and equal charges on a line, subject to an electrical field. The following result [26] extends a familiar result to the case of discontinuous fields.
Lemma 8.1**.**
Let be a closed subset of the Riemann sphere and let be lower semi continuous, on a set of positive logarithmic capacity and suppose that there exists such that as for . Then the minimization problem in the collection of all probability measures on ,
[TABLE]
has a unique minimizer , with support . Furthermore, there exists such that
[TABLE]
for quasi almost all in .
Let be and convex, with as and as for some . Then there exists a probability measure supported on and constant such that
[TABLE]
with equality for all . We replace the weight by , the potential by , hence by , where , and consider the integral equation
[TABLE]
The probability density of the linear statistic has mean
[TABLE]
and variance
[TABLE]
To compute , one uses Fourier series.
Lemma 8.2**.**
For , let . Suppose that , and is bounded. Then
[TABLE]
Proof.
We write
[TABLE]
Then for , we let
[TABLE]
so
[TABLE]
For even, is given by
[TABLE]
whereas for odd, is given by
[TABLE]
so
[TABLE]
so . We can therefore write a solution of the extremal problem as
[TABLE]
which by hypothesis is convergent, and then we establish the equality
[TABLE]
∎
Example 8.3*.*
(i) In the context of (3.39) Let and for let , and let is the Chebyshev polynomial of the second kind of degree such that . Then by the Lemma 8.2, we have
[TABLE]
(ii) In the context of (3.31)Let , and consider for ; with . Then by considering the integrals
[TABLE]
where the branch of the square root is chosen so that the integrals converge to zero as , we deduce that from (8.4) satisfies
[TABLE]
where is chosen so that As we cross , the square root changes sign.
Example 8.4*.*
For , we consider
[TABLE]
so
[TABLE]
and subtracting, we have a Mellin convolution
[TABLE]
so
[TABLE]
so
[TABLE]
We deduce that
[TABLE]
Now we let
[TABLE]
which has Mellin transform
[TABLE]
Hence by the Plancherel formula for the Mellin transform
[TABLE]
One compares this formula with Proposition 2.2.
9. References
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