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Al-Salam–Carlitz Orthogonal Polynomials

Updated 7 July 2026
  • Al-Salam–Carlitz orthogonal polynomials are basic hypergeometric q-polynomials defined by explicit terminating series, three-term recurrences, and q-difference equations.
  • They comprise two families, type I and type II, each with distinct representations, orthogonality relations, and spectral behaviors on real and complex lattices.
  • Recent studies extend these polynomials to multivariable and operator-theoretic frameworks, enhancing applications in q-ensembles, generating functions, and zero monotonicity analyses.

Searching arXiv for relevant papers on Al-Salam–Carlitz orthogonal polynomials and related orthogonality results. Looking up additional arXiv records for Al-Salam–Carlitz type I/II orthogonality, zeros, and generalized qq-difference equations. Al-Salam–Carlitz orthogonal polynomials are classical basic hypergeometric qq-polynomials introduced by Al-Salam and Carlitz and usually organized into two families: Al-Salam–Carlitz I, commonly written Un(a)(x;q)U_n^{(a)}(x;q), and Al-Salam–Carlitz II, commonly written Vn(x;aq)V_n(x;a\mid q). They are characterized by explicit terminating basic hypergeometric representations, three-term recurrences, second-order qq-difference equations, and orthogonality relations on real qq-lattices, discrete exponential lattices, and, in the nonclassical regime, contours in the complex plane. Later work has emphasized quasi-definite orthogonality for complex parameters, spectral realizations of type II polynomials, generalized generating functions, and operator-theoretic extensions to multivariable families (Cohl et al., 2016, Groenevelt, 2013, Cao et al., 2020).

1. Definitions and notation

For Al-Salam–Carlitz I, one basic hypergeometric form is

Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),

equivalently,

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.

The sequence has full degree, degxUn(a)=n\deg_x U_n^{(a)}=n, so it is normal and may be rescaled to monic form (Cohl et al., 2016, Forrester et al., 2022).

For Al-Salam–Carlitz II, one standard representation is

Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),

and an equivalent terminating form is

qq0

A notational variant used in the study of zero monotonicity is qq1, also represented by a terminating qq2 series on the qq3-linear lattice qq4, qq5, with parameter range qq6 (Groenevelt, 2013, Castillo et al., 2020).

The literature also contains two-variable and higher-parameter extensions. The classical two-variable families are

qq7

and

qq8

A three-parameter generalization is

qq9

and a five-parameter extension is introduced through homogeneous Un(a)(x;q)U_n^{(a)}(x;q)0-exponential operators (Cao et al., 2020).

2. Recurrence relations and Un(a)(x;q)U_n^{(a)}(x;q)1-difference equations

For Un(a)(x;q)U_n^{(a)}(x;q)2, the three-term recurrence recorded in the complex-parameter orthogonality study is

Un(a)(x;q)U_n^{(a)}(x;q)3

with

Un(a)(x;q)U_n^{(a)}(x;q)4

By Favard’s theorem, this recurrence together with the nonvanishing of the off-diagonal coefficients Un(a)(x;q)U_n^{(a)}(x;q)5 is equivalent to quasi-definiteness of the corresponding linear functional (Cohl et al., 2016).

A second-order Un(a)(x;q)U_n^{(a)}(x;q)6-difference equation for the monic Al-Salam–Carlitz I polynomials is

Un(a)(x;q)U_n^{(a)}(x;q)7

where

Un(a)(x;q)U_n^{(a)}(x;q)8

An equivalent form is

Un(a)(x;q)U_n^{(a)}(x;q)9

This places the family in the standard eigenfunction setting for second-order Vn(x;aq)V_n(x;a\mid q)0-difference operators (Forrester et al., 2022).

For Vn(x;aq)V_n(x;a\mid q)1 on the lattice Vn(x;aq)V_n(x;a\mid q)2, the Nikiforov–Uvarov framework yields a second-order difference equation

Vn(x;aq)V_n(x;a\mid q)3

with

Vn(x;aq)V_n(x;a\mid q)4

and Vn(x;aq)V_n(x;a\mid q)5 determined by Vn(x;aq)V_n(x;a\mid q)6 up to an inessential additive constant. The same family satisfies

Vn(x;aq)V_n(x;a\mid q)7

where

Vn(x;aq)V_n(x;a\mid q)8

These formulas are the basis for the discrete Stieltjes-type analysis of zero variation (Castillo et al., 2020).

3. Orthogonality of Al-Salam–Carlitz I

The modern orthogonality theory for Vn(x;aq)V_n(x;a\mid q)9 extends beyond the positive real regime. Let qq0 be the unique linear functional satisfying

qq1

If qq2 and qq3, then qq4 is positive definite and is represented by a discrete qq5-Jackson integral on qq6. In the general complex-parameter case, with qq7, the functional is only quasi-definite, but orthogonality still holds on a simple closed contour qq8 formed by two qq9-spirals joining qq0: qq1 With weight

qq2

one has, for qq3 and qq4,

qq5

where

qq6

An analogous statement holds for qq7 after replacing qq8 and using the corresponding Jackson integral. In this formulation, the orthogonality relations characterize qq9 up to a degree-dependent multiplicative constant (Cohl et al., 2016).

Other orthogonality realizations coexist in the literature. For the classical two-variable form Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),0, continuous orthogonality is recorded on Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),1 with weight

Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),2

namely

Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),3

with

Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),4

The same source records a discrete orthogonality on the lattice Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),5, Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),6, with a corresponding discrete measure (Cao et al., 2020).

These results show that the usual restriction to positive measures on real intervals is not exhaustive. In particular, orthogonality survives in the quasi-definite setting, where the support moves to logarithmic spirals in the complex plane and positivity is replaced by nondegeneracy of the moment functional (Cohl et al., 2016).

4. Al-Salam–Carlitz II and spectral completion

For Al-Salam–Carlitz II, Groenevelt’s construction fixes two real parameters Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),7 and two nonzero parameters Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),8, and considers the discrete support

Un(a)(x;q)=(a)nq(n2)2ϕ1 ⁣(qn,x1;0;q,qxa),U_n^{(a)}(x;q) = (-a)^n q^{\binom n2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr),9

The associated Jackson-sum integral is

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.0

with weight

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.1

Under the stated nonvanishing and positivity conditions, including the sample sufficient conditions

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.2

the inner product

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.3

is positive definite. Writing

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.4

one obtains

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.5

with

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.6

where

Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.7

The derivation uses a specialization of Askey’s Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.8-beta integral together with the Un(x;a;q)=(a)nqn(n1)22ϕ1 ⁣(qn,x1;0;q,qxa)=k=0n[n k]q(a)nkqk(k1)2xk.U_n(x;a;q) = (-a)^n q^{\tfrac{n(n-1)}2}\, {}_2\phi_1\!\Bigl(q^{-n},x^{-1};0;q,\frac{q x}{a}\Bigr) = \sum_{k=0}^n \begin{bmatrix} n\ k\end{bmatrix}_q (-a)^{\,n-k} q^{\,\tfrac{k(k-1)}2} x^k.9-binomial theorem (Groenevelt, 2013).

A corresponding second-order degxUn(a)=n\deg_x U_n^{(a)}=n0-difference operator is

degxUn(a)=n\deg_x U_n^{(a)}=n1

with

degxUn(a)=n\deg_x U_n^{(a)}=n2

This operator is symmetric and, with a suitable dense domain, self-adjoint on degxUn(a)=n\deg_x U_n^{(a)}=n3. The Al-Salam–Carlitz II polynomials are eigenfunctions: degxUn(a)=n\deg_x U_n^{(a)}=n4 The spectral analysis shows that the polynomial sector is not complete by itself: besides the discrete eigenvalues degxUn(a)=n\deg_x U_n^{(a)}=n5, there is a continuous spectrum accumulating at degxUn(a)=n\deg_x U_n^{(a)}=n6. To obtain a complete orthogonal basis, one introduces supplementary nonpolynomial functions

degxUn(a)=n\deg_x U_n^{(a)}=n7

where

degxUn(a)=n\deg_x U_n^{(a)}=n8

Then

degxUn(a)=n\deg_x U_n^{(a)}=n9

is an orthogonal basis of Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),0 (Groenevelt, 2013).

A separate orthogonality model for the same “second” family uses the Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),1-linear grid Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),2, Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),3, and the positive weight

Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),4

giving

Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),5

This formulation is the one used in the monotonicity analysis of zeros (Castillo et al., 2020).

5. Generating functions and operator generalizations

The classical generating function for Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),6 is

Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),7

A related basic-Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),8 generating function is

Vn(x;aq)=(a)nqn(n1)22ϕ0 ⁣(qn,x1;;q,a1qnx),V_n(x;a\mid q) = (-a)^n q^{-\tfrac{n(n-1)}2}\, {}_2\phi_0\!\Bigl(q^{-n},x^{-1};-;q,a^{-1}q^n x\Bigr),9

where qq00 is a slight variant of qq01. The complex-parameter orthogonality paper also derives a connection relation between qq02 and qq03, with qq04, and from it obtains the generalized generating function

qq05

These identities show that parameter changes can be encoded by explicit connection coefficients rather than by ad hoc renormalization (Cohl et al., 2016).

The operator-theoretic extension developed in the generalized qq06-difference paper begins with the qq07-derivatives

qq08

and introduces the five-parameter homogeneous qq09-exponential operators

qq10

qq11

A seven-variable analytic function qq12 expands in the family qq13 if and only if it satisfies the stated functional equation, and then

qq14

An analogous characterization holds for the qq15-family qq16, with

qq17

Within the same framework, the paper derives qq18-type generating functions, Ramanujan-type integrals involving generalized Al-Salam–Carlitz polynomials, and transformation formulas that generalize classical Heine–Euler–Cauchy identities by inserting Al-Salam–Carlitz polynomials in place of monomials (Cao et al., 2020).

6. Zeros, special parameter regimes, and limiting cases

For the type II family qq19, the zero-monotonicity analysis is based on the function

qq20

On the support of the zeros, qq21, one has qq22, qq23, and qq24. The discrete Stieltjes theorem then implies that every zero

qq25

is a strictly increasing function of qq26. In the terminology of the paper, this is Proposition 3.3: the zeros of qq27 are strictly increasing in qq28 (Castillo et al., 2020).

For qq29, the real positive-definite regimes include qq30 and qq31, and also qq32 with qq33. In these cases the polynomials are orthogonal on the real qq34-lattice in qq35; all zeros lie in qq36 and interlace in the usual way. When qq37 and qq38, the support of the discrete measure is no longer a subset of the real line but lies on two intertwined logarithmic spirals, while the functional remains quasi-definite. In that regime, the zeros spread through the complex plane. Thus the loss of positivity does not imply the loss of orthogonality; what changes is the geometry of the support and the status of the moment functional (Cohl et al., 2016).

The root-of-unity case qq39, qq40, requires a different mechanism. The usual three-term recurrence persists, but one replaces a single linear functional by a finite Gaussian quadrature and then restores nondegeneracy beyond degree qq41 by adding higher-order qq42-difference terms to the bilinear form. This produces quasi-definite bilinear forms for all degrees. At the degenerate parameter value qq43, one recovers a simpler one-parameter family satisfying

qq44

but this family no longer has a nontrivial three-term recurrence and is therefore not covered by Favard’s theorem. Under suitable scaling, the limit qq45 yields Hermite-, Laguerre-, or Charlier-type limits of the Carlitz–Al-Salam family (Cohl et al., 2016).

7. Appearance in discrete qq46-ensembles

In the construction of discrete orthogonal ensembles on exponential lattices, the monic Al-Salam–Carlitz I polynomials are taken on

qq47

with Jackson integral

qq48

and weight

qq49

The orthogonality relation is

qq50

with

qq51

In the same setting, one builds a Pfaffian ensemble by introducing a skew-symmetric kernel qq52 and the skew inner product

qq53

The skew-orthogonal polynomials can be chosen as

qq54

and the qq55-point correlation functions take the Pfaffian form

qq56

where the qq57 matrix kernel is built from skew Christoffel–Darboux sums of qq58. In this probabilistic realization, the limit qq59 gives qq60 and degenerates to the unitary-symmetry qq61-ensemble, while qq62, after suitable rescaling, recovers continuous orthogonal and skew-orthogonal ensembles of Hermite- or Charlier-type (Forrester et al., 2022).

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