The Hypergeometric Functions Approach to the Connection Problem for the Classical Orthogonal Polynomials

Total Page:16

File Type:pdf, Size:1020Kb

The Hypergeometric Functions Approach to the Connection Problem for the Classical Orthogonal Polynomials Technical Report Inst. of Computer Sci., Univ. of Wroc law Feb. 1998; rev. Aug. 2003 DOI: 10.13140/RG.2.1.2993.3209 http://www.ii.uni.wroc.pl/~sle/publ.html THE HYPERGEOMETRIC FUNCTIONS APPROACH TO THE CONNECTION PROBLEM FOR THE CLASSICAL ORTHOGONAL POLYNOMIALS STANISLAW LEWANOWICZ Abstract. Let fPkg and Qk be any two sequences of classical orthogonal polynomials. Using theorems of the theory of generalized hypergeometric functions, we give closed-form expressions as well as recurrence relations for the coefficients an;k in the connection equation Pn Qn = k=0 an;kPk (n 2 N). 1. Introduction Let fPk(x)g and fQk(x)g be two systems of the classical orthogonal polynomials, i. e. associated with the names of Jacobi, Laguerre, Hermite and Bessel. We are looking for the coefficients an;k in n X (1.1) Qn = an;kPk; k=0 called connection coefficients. An analogous problem is formulated for fPk(x)g and fQk(x)g being systems of the classical orthogonal polynomials of a discrete variable, i. e. associated with the names of Charlier, Meixner, Krawtchouk and Hahn. Two type of results are met in a vast literature of this subject: closed-type formulae, or recurrence relations (usually in k) for an;k (see [2]{[5], [10], [11], [13], [14], [16]{[25], [29]{ [33], [36]). In the present paper, we show that both types of information on an;k may be obtained using theorems of the theory of generalized hypergeometric functions. 2. Some results on generalized hypergeometric functions Throughout this section, the letters p, q, r, s, t, u and n stand for non-negative integers. We shall use the Pochhhammer's symbol (α)k = Γ(k + α)=Γ(α): The definition for the generalized hypergeometric function is 1 k [ap] X (ap)kx (2.1) pFq x = [bq] (bq)kk! k=0 where the symbols [ap] and [bq] denote sets a1; a2; : : : ; ap and b1; b2; : : : ; bq of complex param- eters, respectively, such that −bj 62 N0 and ai 6= bj for 1 ≤ i ≤ p and 1 ≤ j ≤ q, and where 2 STANISLAW LEWANOWICZ the above contracted notation will be used troughout the paper p q Y Y f(ap) = f(ai); f(bq) = f(bj); i=1 j=1 f being a given function. Lemma 2.1. (2.2) n k −n; [ap]; [cr] X n (ap)k(αt)kz p+r+1Fq+s z! = [bq]; [ds] k (bq)k(βu)k(k + λ)k k=0 k − n; [k + ap]; [k + αt] −k; k + λ, [cr]; [βu] × p+t+1Fq+u+1 z r+u+2Fs+t ! : 2k + λ + 1; [k + bq]; [k + βu] [ds]; [αt] Proof. Eq. (2.2) is a specialized form of a much more general result in [26, Vol. II, x9.1, Eq. (13)]. Lemma 2.2. n k −n; [ap]; [cr] X n (ap)k(αt)kz (2.3) p+r+1Fq+s z! = [bq]; [ds] k (bq)k(βu)k k=0 k − n; [k + ap]; [k + αt] −k; [cr]; [βu] × p+t+1Fq+u z r+u+1Fs+t ! : [k + bq]; [k + βu] [ds]; [αt] Proof. Eq. (2.3) is a specialized form of a much more general result in [26, Vol. II, x9.1, Eq. (27)]. Lemma 2.3 ( Wimp [34]; see also Wimp [35, App. C]; or Luke [26, Vol. II, x12.4]). Let β, µ, [φP ], [ Q] be such that none of the quantities β + 1, φi, j and µ are negative integers or zero. Let w 2 C n f0g and let φi = β + 1 for i = P + 1. Then the functions (φP )k k [k + φP +1] (2.4) Uk(w) = w P +1FQ+1 w (k ≥ 0); (k + µ)k( Q)k 2k + µ + 1; [k + Q] satisfy the difference equation θ+1 X (2.5) fAm(k; θ + 1)w + Bm(k; θ + 1)g Uk+m(w) = 0; m=0 where θ := max(P; Q + 1), (2.6) A0(k; R) ≡1; m (2k + µ)m(k + β + 1)m (2.7) Am(k; R) =(−1) m!(k + µ)m −m; 2k + µ + m; [k + φP +1 + 1] × P +3FP +2 1 (1 ≤ m ≤ R); 2k + µ + R + 1; [k + φP +1] CONNECTION PROBLEM FOR THE CLASSICAL ORTHOGONAL POLYNOMIALS 3 (2.8) B0(k; R) =BR(k; R) ≡ 0; m (2k + µ)m+1(k + β + 1)m[k + Q] (2.9) Bm(k; R) =(−1) (m − 1)!(k + µ)m[k + φP +1] 1 − m; 2k + µ + m + 1; [k + Q + 1] × Q+2FQ+1 1 (1 ≤ m ≤ R): 2k + µ + R + 1; [k + Q] Functions Uk(w) do not satisfy any other difference equation of type (2.5), with Am and Bm independent of w, of order ≤ θ + 1. In the special case of P = Q + 1 and w = 1, the above result can be refined in the following sense. Lemma 2.4 (Lewanowicz [15]). Functions (φQ+1)k [k + φQ+2] (2.10) Uk(1) = Q+2FQ+1 1 (k + µ)k( Q)k 2k + µ + 1; [k + Q] satisfy the difference equation θ X (2.11) fAm(k; θ) + Bm(k; θ)g Uk+m(1) = 0; m=0 of order θ := Q + 1, notation being that of (2.7)-(2.9). We have the following confluent version of the result given in Lemma 2.3. Lemma 2.5. Let β, [φP ], [ Q] be such that none of the quantities β + 1, φi, j and µ are negative integers or zero. Let w 2 Cnf0g and let φi = β +1 for i = P +1. Then the functions (φP )k k [k + φP +1] (2.12) Vk(w) = w P +1FQ w (k ≥ 0); ( Q)k [k + Q] satisfy the difference equation # X (2.13) fCm(k)w + Dm(k)g Vk+m(w) = 0; m=0 where # := max(P; Q) + 1, C0(k) ≡ 1, D0(k) ≡ 0, and m (k + β + 1)m −m; [k + φP +1 + 1] (2.14) Cm(k) =(−1) P +2FP +1 1 ; m! [k + φP +1] m (k + β + 1)m(k + Q) 1 − m; [k + Q + 1] (2.15) Dm(k) =(−1) Q+1FQ 1 (m − 1)!(k + φP +1) [k + Q] for m = 1; 2;:::;#. Proof. Replacing in (2.5) w by µw and passing to the limit with µ ! 1, and making use of the confluence principle [k + φP +1] [k + φP +1] lim P +1FQ+1 µw = P +1FQ w µ!1 [k + Q]; 2k + µ + 1 [k + Q] (see [26, Vol. I, x3.5]), we obtain the equation θ+1 X fCm(k)w + Dm(k)g Vk+m(w) = 0; m=0 4 STANISLAW LEWANOWICZ with θ = max(P; Q + 1). If P > Q then θ = P , and by [26, Vol.I, Eqs. 2.9(14), (15)] Cθ+1(k) 6≡ 0, Dθ+1(k) ≡ 0. If P ≤ Q then θ = Q + 1, and by the above-cited equations Cθ+1(k) = Dθ+1(k) ≡ 0, Dθ(k) 6≡ 0. Hence the result. In the special case of P = Q and w = 1, the above result can be refined in the following sense. Lemma 2.6. The functions (φQ+1)k [k + φQ+1] (2.16) Vk(1) = Q+1FQ 1 (k ≥ 0) ( Q)k [k + Q] satisfy the difference equation Q X (2.17) fCm(k) + Dm(k)g Vk+m(w) = 0; m=0 notation being that of (2.14)-(2.15) with P = Q. Proof. In Lemma 2.5, let P := Q and w := 1. It suffices to show that the last term of the sum in (2.13) vanishes, so that the order of the difference equation reduces to Q. Indeed, using [26, Vol. I, Eq. 2.9(14)], we obtain (k + β + 1)Q+1 CQ+1 = = −DQ+1: [k + φQ+1] 3. Classical polynomials orthogonal on an interval Let fPk(x)g and fQk(x)g be two systems of the classical orthogonal polynomials, i. e. associated with the names of Jacobi, Laguerre, Hermite and Bessel. Let us look for the coefficients an;k in n X (3.1) Qn(c x) = an;k(c)Pk(x)(c 6= 0); k=0 slightly generalizing equation (1.1). The following hypergeometric series representation of these polynomials is well known: (α,β) n n + β −n; n + α + β + 1 1 + x (3.2) P (x) =(−1) 2F1 ; n n β + 1 2 α n −n (3.3) L (x) =(α + 1)n(−1) 1F1 x ; n α + 1 n −n=2; −n=2 + 1=2 1 (3.4) Hn(x) =(2x) 2F0 − ; | x2 α −n; n + α + 1 x (3.5) Y (x) = 2F0 − : n | 2 Shifted Jacobi polynomials are given by (α,β) (α,β) (3.6) Rn (x) = Pn (2x − 1): CONNECTION PROBLEM FOR THE CLASSICAL ORTHOGONAL POLYNOMIALS 5 3.1. Explicit forms for the connection coefficients. The above results allow to obtain connection formulae between classical orthogonal polynomials. For instance, the following expansions hold: 8 n > β X BB α >Yn (c x) = an;k (c)Yk (x); <> (3.7) k=0 ! n(n + β + 1) k − n; k + n + β + 1 > BB k k > an;k (c) = c 2F1 c ; :> k (k + α + 1)k 2k + α + 2 8 n > γ X LL α >Ln(c x) = an;k(c)Lk (x); <> (3.8) k=0 k ! > LL n n (−c) k − n; k + α + 1 > an;k(c) = (−1) (γ + 1)n 2F1 c ; :> k (γ + 1)k k + γ + 1 8 n > γ X LB α >Ln(c x) = an;k (c)Yk (x); <> (3.9) k=0 k ! > LB n n (α + 1)k(−2c) k − n > an;k (c) = (−1) (γ + 1)n 1F1 −2c ; :> k (γ + 1)k k + γ + 1 8 n > γ X BJ (α,β) >Yn (cx) = an;k(c)R (x); > k > k=0 > k < BJ (−n)k(n + γ + 1)k c (3.10) an;k(c) = − > (k + α + β + 1)k 2 > ! > k + β + 1; k − n; k + n + γ + 1 c > × 3F1 − : :> 2k + α + β + 2 2 8 n (γ,δ) X >R (c x) = aJB(c)Y α(x); > n n;k k > > k=0 < JB n n (k + δ + 1)n−k(n + γ + δ + 1)k k (3.11) an;k(c) = (−1) (−2c) > k n!(k + α + 1)k > ! > k − n; k + n + γ + δ + 1 > × 2F2 −2c ; :> 2k + α + 2; k + δ + 1 8 n (γ,δ) X (α,β) >P (x) = aJJ P (x); > n n;k k > > k=0 < JJ n n + δ (−n)k(n + γ + δ + 1)k (3.12) an;k = (−1) > n (δ + 1)k(k + α + β + 1)k > ! > k − n; k + β + 1; k + n + γ + δ + 1 > × 3F2 1 ; :> 2k + α + β + 2; k + δ + 1 6 STANISLAW LEWANOWICZ For instance, let us prove (3.12).
Recommended publications
  • Orthogonal Polynomials on the Unit Circle Associated with the Laguerre Polynomials
    PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 129, Number 3, Pages 873{879 S 0002-9939(00)05821-4 Article electronically published on October 11, 2000 ORTHOGONAL POLYNOMIALS ON THE UNIT CIRCLE ASSOCIATED WITH THE LAGUERRE POLYNOMIALS LI-CHIEN SHEN (Communicated by Hal L. Smith) Abstract. Using the well-known fact that the Fourier transform is unitary, we obtain a class of orthogonal polynomials on the unit circle from the Fourier transform of the Laguerre polynomials (with suitable weights attached). Some related extremal problems which arise naturally in this setting are investigated. 1. Introduction This paper deals with a class of orthogonal polynomials which arise from an application of the Fourier transform on the Laguerre polynomials. We shall briefly describe the essence of our method. Let Π+ denote the upper half plane fz : z = x + iy; y > 0g and let Z 1 H(Π+)=ff : f is analytic in Π+ and sup jf(x + yi)j2 dx < 1g: 0<y<1 −∞ It is well known that, from the Paley-Wiener Theorem [4, p. 368], the Fourier transform provides a unitary isometry between the spaces L2(0; 1)andH(Π+): Since the Laguerre polynomials form a complete orthogonal basis for L2([0; 1);xαe−x dx); the application of Fourier transform to the Laguerre polynomials (with suitable weight attached) generates a class of orthogonal rational functions which are com- plete in H(Π+); and by composition of which with the fractional linear transfor- mation (which maps Π+ conformally to the unit disc) z =(2t − i)=(2t + i); we obtain a family of polynomials which are orthogonal with respect to the weight α t j j sin 2 dt on the boundary z = 1 of the unit disc.
    [Show full text]
  • Arxiv:1903.11395V3 [Math.NA] 1 Dec 2020 M
    Noname manuscript No. (will be inserted by the editor) The Gauss quadrature for general linear functionals, Lanczos algorithm, and minimal partial realization Stefano Pozza · Miroslav Prani´c Received: date / Accepted: date Abstract The concept of Gauss quadrature can be generalized to approx- imate linear functionals with complex moments. Following the existing lit- erature, this survey will revisit such generalization. It is well known that the (classical) Gauss quadrature for positive definite linear functionals is connected with orthogonal polynomials, and with the (Hermitian) Lanczos algorithm. Analogously, the Gauss quadrature for linear functionals is connected with for- mal orthogonal polynomials, and with the non-Hermitian Lanczos algorithm with look-ahead strategy; moreover, it is related to the minimal partial realiza- tion problem. We will review these connections pointing out the relationships between several results established independently in related contexts. Original proofs of the Mismatch Theorem and of the Matching Moment Property are given by using the properties of formal orthogonal polynomials and the Gauss quadrature for linear functionals. Keywords Linear functionals · Matching moments · Gauss quadrature · Formal orthogonal polynomials · Minimal realization · Look-ahead Lanczos algorithm · Mismatch Theorem. 1 Introduction Let A be an N × N Hermitian positive definite matrix and v a vector so that v∗v = 1, where v∗ is the conjugate transpose of v. Consider the specific linear S. Pozza Faculty of Mathematics and Physics, Charles University, Sokolovsk´a83, 186 75 Praha 8, Czech Republic. Associated member of ISTI-CNR, Pisa, Italy, and member of INdAM- GNCS group, Italy. E-mail: [email protected]ff.cuni.cz arXiv:1903.11395v3 [math.NA] 1 Dec 2020 M.
    [Show full text]
  • Orthogonal Polynomials and Cubature Formulae on Spheres and on Balls∗
    SIAM J. MATH. ANAL. c 1998 Society for Industrial and Applied Mathematics Vol. 29, No. 3, pp. 779{793, May 1998 015 ORTHOGONAL POLYNOMIALS AND CUBATURE FORMULAE ON SPHERES AND ON BALLS∗ YUAN XUy Abstract. Orthogonal polynomials on the unit sphere in Rd+1 and on the unit ball in Rd are shown to be closely related to each other for symmetric weight functions. Furthermore, it is shown that a large class of cubature formulae on the unit sphere can be derived from those on the unit ball and vice versa. The results provide a new approach to study orthogonal polynomials and cubature formulae on spheres. Key words. orthogonal polynomials in several variables, on spheres, on balls, spherical har- monics, cubature formulae AMS subject classifications. 33C50, 33C55, 65D32 PII. S0036141096307357 1. Introduction. We are interested in orthogonal polynomials in several vari- ables with emphasis on those orthogonal with respect to a given measure on the unit sphere Sd in Rd+1. In contrast to orthogonal polynomials with respect to measures defined on the unit ball Bd in Rd, there have been relatively few studies on the struc- ture of orthogonal polynomials on Sd beyond the ordinary spherical harmonics which are orthogonal with respect to the surface (Lebesgue) measure (cf. [2, 3, 4, 5, 6, 8]). The classical theory of spherical harmonics is primarily based on the fact that the ordinary harmonics satisfy the Laplace equation. Recently Dunkl (cf. [2, 3, 4, 5] and the references therein) opened a way to study orthogonal polynomials on the spheres with respect to measures invariant under a finite reflection group by developing a theory of spherical harmonics analogous to the classical one.
    [Show full text]
  • Algorithms for Classical Orthogonal Polynomials
    Konrad-Zuse-Zentrum für Informationstechnik Berlin Takustr. 7, D-14195 Berlin - Dahlem Wolfram Ko epf Dieter Schmersau Algorithms for Classical Orthogonal Polynomials at Berlin Fachb ereich Mathematik und Informatik der Freien Universit Preprint SC Septemb er Algorithms for Classical Orthogonal Polynomials Wolfram Ko epf Dieter Schmersau koepfzibde Abstract In this article explicit formulas for the recurrence equation p x A x B p x C p x n+1 n n n n n1 and the derivative rules 0 x p x p x p x p x n n+1 n n n n1 n and 0 p x p x x p x x n n n n1 n n resp ectively which are valid for the orthogonal p olynomial solutions p x of the dierential n equation 00 0 x y x x y x y x n of hyp ergeometric typ e are develop ed that dep end only on the co ecients x and x which themselves are p olynomials wrt x of degrees not larger than and resp ectively Partial solutions of this problem had b een previously published by Tricomi and recently by Yanez Dehesa and Nikiforov Our formulas yield an algorithm with which it can b e decided whether a given holonomic recur rence equation ie one with p olynomial co ecients generates a family of classical orthogonal p olynomials and returns the corresp onding data density function interval including the stan dardization data in the armative case In a similar way explicit formulas for the co ecients of the recurrence equation and the dierence rule x rp x p x p x p x n n n+1 n n n n1 of the classical orthogonal p olynomials of a discrete variable are given that dep end only
    [Show full text]
  • Orthogonal Polynomials and Classical Orthogonal Polynomials
    International Journal of Mechanical Engineering and Technology (IJMET) Volume 9, Issue 10, October 2018, pp. 1613–1630, Article ID: IJMET_09_10_164 Available online at http://iaeme.com/Home/issue/IJMET?Volume=9&Issue=10 ISSN Print: 0976-6340 and ISSN Online: 0976-6359 © IAEME Publication Scopus Indexed ORTHOGONAL POLYNOMIALS AND CLASSICAL ORTHOGONAL POLYNOMIALS DUNIA ALAWAI JARWAN Education for Girls College, Al-Anbar University, Ministry of Higher Education and Scientific Research, Iraq ABSTRACT The focus of this project is to clarify the concept of orthogonal polynomials in the case of continuous internal and discrete points on R and the Gram – Schmidt orthogonalization process of conversion to many orthogonal limits and the characteristics of this method. We have highlighted the classical orthogonal polynomials as an example of orthogonal polynomials because of they are great importance in physical practical applications. In this project, we present 3 types (Hermite – Laguerre – Jacobi) of classical orthogonal polynomials by clarifying the different formulas of each type and how to reach some formulas, especially the form of the orthogonality relation of each. Keywords: Polynomials, Classical Orthogonal, Monic Polynomial, Gram – Schmidt Cite this Article Dunia Alawai Jarwan, Orthogonal Polynomials and Classical Orthogonal Polynomials, International Journal of Mechanical Engineering and Technology, 9(10), 2018, pp. 1613–1630. http://iaeme.com/Home/issue/IJMET?Volume=9&Issue=10 1. INTRODUCTION The mathematics is the branch where the lots of concepts are included. An orthogonality is the one of the concept among them. Here we focuse on the orthogonal polynomial sequence. The orthogonal polynomial are divided in two classes i.e. classical orthogonal polynomials, Discrete orthogonal polynomials and Sieved orthogonal polynomials .There are different types of classical orthogonal polynomials such that Jacobi polynomials, Associated Laguerre polynomials and Hermite polynomials.
    [Show full text]
  • Orthogonal Polynomials: an Illustrated Guide
    Orthogonal Polynomials: An Illustrated Guide Avaneesh Narla December 10, 2018 Contents 1 Definitions 1 2 Example 1 2 3 Three-term Recurrence Relation 3 4 Christoffel-Darboux Formula 5 5 Zeros 6 6 Gauss Quadrature 8 6.1 Lagrange Interpolation . .8 6.2 Gauss quadrature formula . .8 7 Classical Orthogonal Polynomials 11 7.1 Hermite Polynomials . 11 7.2 Laguerre Polynomials . 12 7.3 Legendre Polynomials . 14 7.4 Jacobi Polynomials . 16 7.5 Chebyshev Polynomials of the First Kind . 17 7.6 Chebyshev Polynomials of the Second Kind . 19 7.7 Gegenbauer polynomials . 20 1 Definitions Orthogonal polynomials are orthogonal with respect to a certain function, known as the weight function w(x), and a defined interval. The weight function must be continuous and positive such that its moments (µn) exist. Z b n µn := w(x)x dx; n = 0; 1; 2; ::: a The interval may be infinite. We now define the inner product of two polynomials as follows Z 1 hf; giw(x) := w(x)f(x)g(x) dx −∞ 1 We will drop the subscript indicating the weight function in future cases. Thus, as always, a 1 sequence of polynomials fpn(x)gn=0 with deg(pn(x)) = n are called orthogonal polynomials for a weight function w if hpm; pni = hnδmn Above, the delta function is the Kronecker Delta Function There are two possible normalisations: If hn = 1 8n 2 f0; 1; 2:::g, the sequence is orthonormal. If the coefficient of highest degree term is 1 for all elements in the sequence, the sequence is monic.
    [Show full text]
  • MATH 304 Linear Algebra Lecture 38: Orthogonal Polynomials. Problem
    MATH 304 Linear algebra Lecture 38: Orthogonal polynomials. Problem. Approximate the function f (x) = ex on the interval [ 1, 1] by a quadratic polynomial. − The best approximation would be a polynomial p(x) that minimizes the distance relative to the uniform norm: f p = max f (x) p(x) . k − k∞ x 1 | − | | |≤ However there is no analytic way to find such a polynomial. Another approach is to find a “least squares” approximation that minimizes the integral norm 1 1/2 2 f p 2 = f (x) p(x) dx . k − k 1 | − | Z− The norm 2 is induced by the inner product k · k 1 g, h = g(x)h(x) dx. h i 1 Z− Therefore f p 2 is minimal if p is the k − k orthogonal projection of the function f on the subspace 3 of quadratic polynomials. P Suppose that p0, p1, p2 is an orthogonal basis for 3. Then P f , p0 f , p1 f , p2 p(x) = h i p0(x) + h i p1(x) + h i p2(x). p0, p0 p1, p1 p2, p2 h i h i h i Orthogonal polynomials : the vector space of all polynomials with real P 2 n coefficients: p(x) = a0 + a1x + a2x + + anx . ··· Basis for : 1, x, x 2,..., x n,... P Suppose that is endowed with an inner product. P Definition. Orthogonal polynomials (relative to the inner product) are polynomials p0, p1, p2,... such that deg pn = n (p0 is a nonzero constant) and pn, pm = 0 for n = m. h i 6 Orthogonal polynomials can be obtained by applying the Gram-Schmidt orthogonalization process to the basis 1, x, x 2,..
    [Show full text]
  • Moments of Classical Orthogonal Polynomials
    Moments of Classical Orthogonal Polynomials zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr.rer.nat) im Fachbereich Mathematik der Universität Kassel By Patrick Njionou Sadjang ????? Ph.D thesis co-supervised by: Prof. Dr. Wolfram Koepf University of Kassel, Germany and Prof. Dr. Mama Foupouagnigni University of Yaounde I, Cameroon October 2013 Tag der mündlichen Prüfung 21. Oktober 2013 Erstgutachter Prof. Dr. Wolfram Koepf Universität Kassel Zweitgutachter Prof. Dr. Mama Foupouagnigni University of Yaounde I Abstract The aim of this work is to find simple formulas for the moments mn for all families of classical orthogonal polynomials listed in the book by Koekoek, Lesky and Swarttouw [30]. The generating functions or exponential generating functions for those moments are given. To my dear parents Acknowledgments Foremost, I would like to express my sincere gratitude to my advisors Prof. Dr. Wolfram Koepf and Prof. Dr. Mama Foupouagnigni for the continuous support of my Ph.D study and research, for their patience, motivation, enthusiasm, and immense knowledge. Their guidance helped me in all the time of research and writing of this thesis. I could not have imagined having better advisors and mentors for my Ph.D study. I am grateful to Prof. Dr. Mama Foupouagnigni for enlightening me the first glance of re- search. My sincere thanks also go to Prof. Dr. Wolfram Koepf for offering me the opportunity to visit the University of Kassel where part of this work has been written. I acknowledge the financial supports of the DAAD via the STIBET fellowship which en- abled me to visit the Institute of Mathematics of the University of Kassel.
    [Show full text]
  • Orthogonal Polynomials 71
    Orthogonal Polynomials Vilmos Totik 11/11/05 Abstract In this survey, different aspects of the theory of orthogonal polynomials of one (real or complex) variable are reviewed. Orthogonal polynomials on the unit circle are not discussed. Contents 1 Introduction 71 2 Orthogonal polynomials 73 Orthogonal polynomials with respect to measures . 73 TheRiemann–Hilbertapproach . 74 Orthogonal polynomials with respect to inner products . .. 76 Varyingweights............................ 77 Matrixorthogonalpolynomials . 77 3 The L2 extremal problem 77 4 Orthogonal polynomials on the real line 79 5 Classical orthogonal polynomials 80 arXiv:math/0512424v1 [math.CA] 18 Dec 2005 6 Where do orthogonal polynomials come from? 82 Continuedfractions. 82 Pad´eapproximation and rational interpolation . 83 Momentproblem ........................... 85 Jacobi matrices and spectral theory of self-adjoint operators. 85 Quadrature .............................. 86 Randommatrices........................... 87 Surveys in Approximation Theory Volume 1, 2005. pp. 70–125. Copyright c 2005 Surveys in Approximation Theory. ISSN 1555-578X All rights of reproduction in any form reserved. 70 Orthogonal Polynomials 71 7 Some questions leading to classical orthogonal polynomials 88 Electrostatics ............................. 88 Polynomial solutions of eigenvalue problems . 89 Harmonicanalysisonspheresandballs . 89 Approximationtheory . 90 8 Heuristics 91 9 General orthogonal polynomials 93 Lowerandupperbounds. 94 Zeros.................................. 95 Regularity..............................
    [Show full text]
  • Math 563 Lecture Notes Approximation with Orthogonal Bases
    Math 563 Lecture Notes Approximation with orthogonal bases Spring 2020 The point: The framework for approximation by orthogonal bases (`generalized Fourier series') is set up - the appropriate spaces, general idea and examples using polynomials. The Chebyshev polynomials, which have an important connection to Fourier series, are a notable example to be revisited soon. The structure here is the foundation for essential methods in numerical analysis - Gaussian quadrature (efficient integration), Fourier series (efficient approximation) and more. Related reading: Details on orthogonal polynomials can be found in Quarteroni, 10.1. 1 General theory We now consider the problem of continuous approximation. For a space of functions on [a; b], we seek a basis fφjg such that the first n can be used to approximate the function. Let w(x) > 0 be a positive function. For complex-valued functions on [a; b], define the `weighted' L2 norm1 Z b 1=2 2 kfkw = w(x)jf(x)j dx a which has an associated (complex) inner product Z b hf; giw = f(x)g(x)w(x) dx: (1) a Note that in the case of real functions, the overbar (complex conjugate) can be dropped). We consider approximating functions in the `weighted L2' space Z b 2 2 Lw([a; b]) = ff :[a; b] ! C s.t. jf(x)j w(x) dx < 1g a which includes, in practice, essentially any function of interest. The norm and inner product (1) is well-defined on this space. 1 p Technically, kfk2;w or something similar should be written to distinguish from other L norms, but the 2 here is implied; the subscript may be dropped entirely if the context is clear.
    [Show full text]
  • Moments of Orthogonal Polynomials and Combinatorics
    MOMENTS OF ORTHOGONAL POLYNOMIALS AND COMBINATORICS SYLVIE CORTEEL, JANG SOO KIM AND DENNIS STANTON Abstract. This paper is a survey on combinatorics of moments of orthogonal polynomials and linearization coefficients. This area was started by the seminal work of Flajolet followed by Viennot at the beginning of the 1980’s. Over the last 30 years, several tools were conceived to extract the combinatorics and compute these moments. A survey of these techniques is presented, with applications to polynomials in the Askey scheme. 1. Introduction In this article we will consider polynomials Pn(x) in one variable x with coefficients in a commutative ring K indexed by a non-negative integer n. In general K will be C or R. Sometimes these polynomials will depend on formal variables a, b, c, d and q. Given a sequence µn n 0 of elements of K, there exists a unique linear functional on the { } ≥ n L space of polynomials, : K[x] K such that µn = (x ). The sequence µn n 0 is called the moment sequence of thisL linear! functional. L { } ≥ Definition 1.1. Asequence Pn(x) n 0 is called an orthogonal polynomial sequence (OPS) with respect to a linear functional{ }if ≥ L (1) Pn(x) is a polynomial of degree n for each n 0, (2) (P (x)P (x)) = K δ for all n, m 0, where≥ K = 0. L n m n n,m ≥ n 6 In this case we also call Pn(x) an orthogonal polynomial. Note that if is a linear function for an OPS, then any linear functional 0 which is obtained by multiplyingL a nonzero constant to is also a linear functional for the OPS.L Conversely, if L L and 0 are linear functionals for an OPS, then = c 0 for a nonzero constant c.Thus,thereis a uniqueL linear functional for an OPS such thatL ·L(1) = 1.
    [Show full text]
  • MULTIPLE ORTHOGONAL POLYNOMIALS for CLASSICAL WEIGHTS 1. Introduction in This Work We Consider Properties of Multiple Orthogonal
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 355, Number 10, Pages 3887{3914 S 0002-9947(03)03330-0 Article electronically published on June 10, 2003 MULTIPLE ORTHOGONAL POLYNOMIALS FOR CLASSICAL WEIGHTS A. I. APTEKAREV, A. BRANQUINHO, AND W. VAN ASSCHE Abstract. A new set of special functions, which has a wide range of appli- cations from number theory to integrability of nonlinear dynamical systems, is described. We study multiple orthogonal polynomials with respect to p>1 weights satisfying Pearson's equation. In particular, we give a classification of multiple orthogonal polynomials with respect to classical weights, which is based on properties of the corresponding Rodrigues operators. We show that the multiple orthogonal polynomials in our classification satisfy a linear differ- ential equation of order p + 1. We also obtain explicit formulas and recurrence relations for these polynomials. 1. Introduction In this work we consider properties of multiple orthogonal polynomials Q~n of vector index ~n P=(n1;n2;:::;np). These are polynomials of one variable with j j p deg Q~n = ~n := j=1 nj, which satisfy the following orthogonality conditions with respect to p weights w supported on contours γ (j =1;:::;p): Z j j ν (1.1) Q~n(z)z wj(z) dz =0,ν=0;:::;nj − 1 ;j=1;:::;p: γj Our attention goes to classical weights, by which we mean that each of these weight functions is a solution of Pearson's differential equation (1.2) (φ(z)w(z))0 + (z)w(z)=0; with polynomial coefficients φ and . These multiple orthogonal polynomials ap- pear as common denominators in Hermite-Pad´e rational approximation (of type II) to p functions near infinity, in the same way as ordinary orthogonal polynomials arise in Pad´e approximation to a function near infinity (see, e.g., [12, Chapter 4], where these polynomials are called polyorthogonal polynomials).
    [Show full text]