554 research outputs found

    The Cauchy Operator for Basic Hypergeometric Series

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    We introduce the Cauchy augmentation operator for basic hypergeometric series. Heine's 2Ï•1{}_2\phi_1 transformation formula and Sears' 3Ï•2{}_3\phi_2 transformation formula can be easily obtained by the symmetric property of some parameters in operator identities. The Cauchy operator involves two parameters, and it can be considered as a generalization of the operator T(bDq)T(bD_q). Using this operator, we obtain extensions of the Askey-Wilson integral, the Askey-Roy integral, Sears' two-term summation formula, as well as the qq-analogues of Barnes' lemmas. Finally, we find that the Cauchy operator is also suitable for the study of the bivariate Rogers-Szeg\"o polynomials, or the continuous big qq-Hermite polynomials.Comment: 21 pages, to appear in Advances in Applied Mathematic

    The Bivariate Rogers-Szeg\"{o} Polynomials

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    We present an operator approach to deriving Mehler's formula and the Rogers formula for the bivariate Rogers-Szeg\"{o} polynomials hn(x,y∣q)h_n(x,y|q). The proof of Mehler's formula can be considered as a new approach to the nonsymmetric Poisson kernel formula for the continuous big qq-Hermite polynomials Hn(x;a∣q)H_n(x;a|q) due to Askey, Rahman and Suslov. Mehler's formula for hn(x,y∣q)h_n(x,y|q) involves a 3ϕ2{}_3\phi_2 sum and the Rogers formula involves a 2ϕ1{}_2\phi_1 sum. The proofs of these results are based on parameter augmentation with respect to the qq-exponential operator and the homogeneous qq-shift operator in two variables. By extending recent results on the Rogers-Szeg\"{o} polynomials hn(x∣q)h_n(x|q) due to Hou, Lascoux and Mu, we obtain another Rogers-type formula for hn(x,y∣q)h_n(x,y|q). Finally, we give a change of base formula for Hn(x;a∣q)H_n(x;a|q) which can be used to evaluate some integrals by using the Askey-Wilson integral.Comment: 16 pages, revised version, to appear in J. Phys. A: Math. Theo

    Semi-Finite Forms of Bilateral Basic Hypergeometric Series

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    We show that several classical bilateral summation and transformation formulas have semi-finite forms. We obtain these semi-finite forms from unilateral summation and transformation formulas. Our method can be applied to derive Ramanujan's 1ψ1_1\psi_1 summation, Bailey's 2ψ2_2\psi_2 transformations, and Bailey's 6ψ6_6\psi_6 summation.Comment: 8 pages. accepted by Proc. Amer. Math. So

    A Note on Generalized qq-Difference Equations and Their Applications Involving qq-Hypergeometric Functions

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    In this paper, we use two qq-operators T(a,b,c,d,e,yDx)\mathbb{T}(a,b,c,d,e,yD_x) and E(a,b,c,d,e,yθx)\mathbb{E}(a,b,c,d,e,y\theta_x) to derive two potentially useful generalizations of the qq-binomial theorem, a set of two extensions of the qq-Chu-Vandermonde summation formula and two new generalizations of the Andrews-Askey integral by means of the qq-difference equations. We also briefly describe relevant connections of various special cases and consequences of our main results with a number of known results.Comment: 17 page

    Applications of operator identities to the multiple q-binomial theorem and q-Gauss summation theorem

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    AbstractIn this paper, we first give an interesting operator identity. Furthermore, using the q-exponential operator technique to the multiple q-binomial theorem and q-Gauss summation theorem, we obtain some transformation formulae and summation theorems of multiple basic hypergeometric series

    Bayesian inference in the time varying cointegration model

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    There are both theoretical and empirical reasons for believing that the parameters of macroeconomic models may vary over time. However, work with time-varying parameter models has largely involved Vector autoregressions (VARs), ignoring cointegration. This is despite the fact that cointegration plays an important role in informing macroeconomists on a range of issues. In this paper we develop time varying parameter models which permit coin- tegration. Time-varying parameter VARs (TVP-VARs) typically use state space representations to model the evolution of parameters. In this paper, we show that it is not sensible to use straightforward extensions of TVP-VARs when allowing for cointegration. Instead we develop a speci…cation which allows for the cointegrating space to evolve over time in a manner comparable to the random walk variation used with TVP-VARs. The properties of our approach are investigated before developing a method of posterior simulation. We use our methods in an empirical investigation involving a permanent/transitory variance decomposition for inflation
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