Algorithms for Classical Orthogonal Polynomials

Total Page:16

File Type:pdf, Size:1020Kb

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 on the co ecients x and x of their dierence equation x ry x x y x y x n Here y x y x y x and ry x y x y x denote the forward and backward dierence op erators resp ectively In particular this solves the corresp onding inverse problem to nd the classical discrete orthogonal p olynomial solutions of a given holonomic recurrence equation Polynomials of the Hyp ergeometric Typ e A longstanding problem in the theory of sp ecial functions whose solution can b e very helpful in applied mathematics as well as in many quantummechanical problems of physics is the determination of the dierentiation formulas of the hyp ergeometrictyp e orthogonal p olynomials p x only from the co ecients of the dierential equation n 00 0 x y x x y x y x n which is satised by these p olynomials n y x p x k x n N f g k n n 0 n The co ecients x x and turn out to b e themselves p olynomials wrt x of degrees n not larger than and resp ectively This problem was partially solved by Tricomi Chapter IV in the sense that he was able to calculate the co ecients and of the derivative rule n n n 0 x p x x p x p x n n n n n1 n However his formula for was not only in terms of the co ecients of and k but n n furthermore the second highest co ecients of p x were involved and to evaluate he n n needed to know also the co ecients of the recurrence equation p x A x B p x C p x n+1 n n n n n1 another structural prop erty of orthogonal p olynomial systems Since the p olynomials p x given by are completely determined by the dierential equation n and their leading co ecients k n N it is desirable to obtain the recurrence equation n 0 and the derivative rule from these informations alone Recently Yanez Dehesa and Nikiforov presented such formulas which however are ad ditionally in terms of the constant D given by a representation of the typ e n Z n s s D n ds p x n n+1 x s x C 0 for p x x b eing solution of the equation and C b eing a contour satisfying n certain b oundary conditions Their development is more general in the sense that they did not assume that n is an integer On the other hand the assumption that n is an integer implies that the contour C is closed the integral representation b eing equivalent to the Ro drigues representation n d E n n x x p x n n x dx where n E D n n i and the solutions are classical orthogonal p olynomials with density x In this article we represent the co ecients of b oth and in terms of x x and the term ratio k k alone hence giving a complete solution of the prop osed problem n+1 n It is clear that our formulas should dep end additionally on the leading co ecients k since n such a standardization can b e prescrib ed arbitrarily If one takes the monic standardization ie k then the formulas in fact dep end only on the co ecients of the dierential equation n For the classical orthogonal p olynomials our formulas are stronger than Yanez Dehesas and Nikiforovs result since k is intrinsic part of p x whereas the constants D E are not n n n n Moreover we will give D and E in terms of the co ecients of the dierential equation to o n n Algebraically two identities dierential equation and recurrence equation eg are needed to deduce the third one derivative rule eg see whereas here kind of magic we would like to deduce two from one That this is p ossible is due to the analytic knowledge that orthogonal p olynomial solutions of the dierential equation satisfy some structural prop erties namely the recurrence equation and derivative rule take sp ecial forms We make the general assumption that our p olynomials p x are orthogonal wrt a measure n ie Z if m n p x p x dx n m h if m n n I where I denotes an appropriate integration path for example a real interval Ma jor to ols in our development are the following wellknown structural prop erties of such families of orthogonal p olynomials Lemma Any system of p olynomials fp x j n N g p b eing of exact degree n orthogo n 0 n nal with resp ect to a measure satises a threeterm recurrence equation of the form p x A x B p x C p x n N p x n+1 n n n n n1 0 1 A B and C not dep ending on x n n n Pro of This prop erty is wellknown see eg Chapter IV To prove it one substitutes n+1 equates the co ecients of x and gets immediately that k n+1 A n k n With this choice we study the dierence p x A x p x Since this is a p olynomial of n+1 n n degree not larger than n it can b e decomp osed as n X p x A x p x d p x n+1 n n j n j =0 We cho ose m n and multiply by p x Integrating with resp ect to yields m Z Z p x p x dx p x A x p x dx d h m n+1 m n n m m I I where on the right hand side was applied Both left hand integrals vanish since p x is m orthogonal to p x and since xp x as a p olynomial of degree not larger than n is n+1 m orthogonal to p x implying d This gives the result 2 n m The second imp ortant structural prop erty for our considerations is given by Lemma Any system of p olynomials fp x j n N g p b eing of exact degree n that n 0 n are solutions of the dierential equations and furthermore orthogonal with resp ect to a measure x x dx having weight function x satises a derivative rule of the form 0 x p x x p x p x n N f g n n n n n1 n and not dep ending on x n n n n+1 Pro of Substituting and equating the co ecients of x one gets immediately that a n n In x it is shown by an elementary argument that under the given conditions the solutions p x of the dierential equations are orthogonal with resp ect to the weight function n R (x) C dx (x) x e x given by Pearsons dierential equation d x x x x dx for a suitable constant C in a suitable interval I dep ending on the zeros of x Hence multiplying by x the dierential equation takes the selfadjoint form d 0 x x y x x y x n dx Using this identity Tricomi showed that IV Z 0 x x p x f x dx n I 0 x x for any p olynomial f x of degree n If holds then the degree of x p n n is n Hence one can write n X 0 x p x x e p x n j n n j =0 As ab ove from one can deduce that e for j n see Chapter IV 2 j An immediate consequence is the following Corollary Any system of p olynomials fp x j n N g p b eing of exact degree n that n 0 n are solutions of the dierential equation and furthermore orthogonal with resp ect to a measure x x dx having weight function x satises a derivative rule of the form 0 x p x p x p x p x n N n n+1 n n n n1 n and not dep ending on x n n n n+1 Pro of Substituting in and equating the co ecients of x one gets immediately that k n a n n k n+1 Substituting in one gets moreover 0 x p x x p x p x n n n n n1 n n p x p x p x B p x C p x n n n1 n+1 n n n n1 n A n hence is valid with B C n n n 2 n n n n n n n A A A n n n Classical Orthogonal Polynomials of an Interval In this section we give the prop osed explicit recurrence equation and derivative rule formulas Assume a family of dierential equations is given for n N with continuous functions 0 x x and constants and we search for p olynomial solutions of degree n Then n since p x is linear one deduces that x must b e an at most linear p olynomial and since 1 p x is quadratic one deduces that x must b e an at most quadratic p olynomial Hence 2 we may assume that 2 x ax bx c x dx e n Equating co ecients of the highest p owers x in for generic p x given by one n deduces that moreover ann dn or ann dn n n Hence only if the dierential equation takes the sp ecial form 2 00 0 ax bx c y x dx e y x ann dn y x it can have p olynomial solutions Moreover we can assume that for n N hence an d for n N since n otherwise no orthogonal p olynomial solutions can exist This is discussed in detail in In particular d In the following theorem we give explicit representations of the corresp onding recurrence equation and
Recommended publications
  • Chebyshev Polynomials of the Second, Third and Fourth Kinds in Approximation, Indefinite Integration, and Integral Transforms *
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Journal of Computational and Applied Mathematics 49 (1993) 169-178 169 North-Holland CAM 1429 Chebyshev polynomials of the second, third and fourth kinds in approximation, indefinite integration, and integral transforms * J.C. Mason Applied and Computational Mathematics Group, Royal Military College of Science, Shrivenham, Swindon, Wiltshire, United Kingdom Dedicated to Dr. D.F. Mayers on the occasion of his 60th birthday Received 18 February 1992 Revised 31 March 1992 Abstract Mason, J.C., Chebyshev polynomials of the second, third and fourth kinds in approximation, indefinite integration, and integral transforms, Journal of Computational and Applied Mathematics 49 (1993) 169-178. Chebyshev polynomials of the third and fourth kinds, orthogonal with respect to (l+ x)‘/‘(l- x)-‘I* and (l- x)‘/*(l+ x)-‘/~, respectively, on [ - 1, 11, are less well known than traditional first- and second-kind polynomials. We therefore summarise basic properties of all four polynomials, and then show how some well-known properties of first-kind polynomials extend to cover second-, third- and fourth-kind polynomials. Specifically, we summarise a recent set of first-, second-, third- and fourth-kind results for near-minimax constrained approximation by series and interpolation criteria, then we give new uniform convergence results for the indefinite integration of functions weighted by (1 + x)-i/* or (1 - x)-l/* using third- or fourth-kind polynomial expansions, and finally we establish a set of logarithmically singular integral transforms for which weighted first-, second-, third- and fourth-kind polynomials are eigenfunctions.
    [Show full text]
  • Generalizations of Chebyshev Polynomials and Polynomial Mappings
    TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 359, Number 10, October 2007, Pages 4787–4828 S 0002-9947(07)04022-6 Article electronically published on May 17, 2007 GENERALIZATIONS OF CHEBYSHEV POLYNOMIALS AND POLYNOMIAL MAPPINGS YANG CHEN, JAMES GRIFFIN, AND MOURAD E.H. ISMAIL Abstract. In this paper we show how polynomial mappings of degree K from a union of disjoint intervals onto [−1, 1] generate a countable number of spe- cial cases of generalizations of Chebyshev polynomials. We also derive a new expression for these generalized Chebyshev polynomials for any genus g, from which the coefficients of xn can be found explicitly in terms of the branch points and the recurrence coefficients. We find that this representation is use- ful for specializing to polynomial mapping cases for small K where we will have explicit expressions for the recurrence coefficients in terms of the branch points. We study in detail certain special cases of the polynomials for small degree mappings and prove a theorem concerning the location of the zeroes of the polynomials. We also derive an explicit expression for the discrimi- nant for the genus 1 case of our Chebyshev polynomials that is valid for any configuration of the branch point. 1. Introduction and preliminaries Akhiezer [2], [1] and, Akhiezer and Tomˇcuk [3] introduced orthogonal polynomi- als on two intervals which generalize the Chebyshev polynomials. He observed that the study of properties of these polynomials requires the use of elliptic functions. In thecaseofmorethantwointervals,Tomˇcuk [17], investigated their Bernstein-Szeg˝o asymptotics, with the theory of Hyperelliptic integrals, and found expressions in terms of a certain Abelian integral of the third kind.
    [Show full text]
  • Chebyshev and Fourier Spectral Methods 2000
    Chebyshev and Fourier Spectral Methods Second Edition John P. Boyd University of Michigan Ann Arbor, Michigan 48109-2143 email: [email protected] http://www-personal.engin.umich.edu/jpboyd/ 2000 DOVER Publications, Inc. 31 East 2nd Street Mineola, New York 11501 1 Dedication To Marilyn, Ian, and Emma “A computation is a temptation that should be resisted as long as possible.” — J. P. Boyd, paraphrasing T. S. Eliot i Contents PREFACE x Acknowledgments xiv Errata and Extended-Bibliography xvi 1 Introduction 1 1.1 Series expansions .................................. 1 1.2 First Example .................................... 2 1.3 Comparison with finite element methods .................... 4 1.4 Comparisons with Finite Differences ....................... 6 1.5 Parallel Computers ................................. 9 1.6 Choice of basis functions .............................. 9 1.7 Boundary conditions ................................ 10 1.8 Non-Interpolating and Pseudospectral ...................... 12 1.9 Nonlinearity ..................................... 13 1.10 Time-dependent problems ............................. 15 1.11 FAQ: Frequently Asked Questions ........................ 16 1.12 The Chrysalis .................................... 17 2 Chebyshev & Fourier Series 19 2.1 Introduction ..................................... 19 2.2 Fourier series .................................... 20 2.3 Orders of Convergence ............................... 25 2.4 Convergence Order ................................. 27 2.5 Assumption of Equal Errors ...........................
    [Show full text]
  • Dymore User's Manual Chebyshev Polynomials
    Dymore User's Manual Chebyshev polynomials Olivier A. Bauchau August 27, 2019 Contents 1 Definition 1 1.1 Zeros and extrema....................................2 1.2 Orthogonality relationships................................3 1.3 Derivatives of Chebyshev polynomials..........................5 1.4 Integral of Chebyshev polynomials............................5 1.5 Products of Chebyshev polynomials...........................5 2 Chebyshev approximation of functions of a single variable6 2.1 Expansion of a function in Chebyshev polynomials...................6 2.2 Evaluation of Chebyshev expansions: Clenshaw's recurrence.............7 2.3 Derivatives and integrals of Chebyshev expansions...................7 2.4 Products of Chebyshev expansions...........................8 2.5 Examples.........................................9 2.6 Clenshaw-Curtis quadrature............................... 10 3 Chebyshev approximation of functions of two variables 12 3.1 Expansion of a function in Chebyshev polynomials................... 12 3.2 Evaluation of Chebyshev expansions: Clenshaw's recurrence............. 13 3.3 Derivatives of Chebyshev expansions.......................... 14 4 Chebychev polynomials 15 4.1 Examples......................................... 16 1 Definition Chebyshev polynomials [1,2] form a series of orthogonal polynomials, which play an important role in the theory of approximation. The lowest polynomials are 2 3 4 2 T0(x) = 1;T1(x) = x; T2(x) = 2x − 1;T3(x) = 4x − 3x; T4(x) = 8x − 8x + 1;::: (1) 1 and are depicted in fig.1. The polynomials can be generated from the following recurrence rela- tionship Tn+1 = 2xTn − Tn−1; n ≥ 1: (2) 1 0.8 0.6 0.4 0.2 0 −0.2 −0.4 CHEBYSHEV POLYNOMIALS −0.6 −0.8 −1 −1 −0.8 −0.6 −0.4 −0.2 0 0.2 0.4 0.6 0.8 1 XX Figure 1: The seven lowest order Chebyshev polynomials It is possible to give an explicit expression of Chebyshev polynomials as Tn(x) = cos(n arccos x): (3) This equation can be verified by using elementary trigonometric identities.
    [Show full text]
  • Approximation Atkinson Chapter 4, Dahlquist & Bjork Section 4.5
    Approximation Atkinson Chapter 4, Dahlquist & Bjork Section 4.5, Trefethen's book Topics marked with ∗ are not on the exam 1 In approximation theory we want to find a function p(x) that is `close' to another function f(x). We can define closeness using any metric or norm, e.g. Z 2 2 kf(x) − p(x)k2 = (f(x) − p(x)) dx or kf(x) − p(x)k1 = sup jf(x) − p(x)j or Z kf(x) − p(x)k1 = jf(x) − p(x)jdx: In order for these norms to make sense we need to restrict the functions f and p to suitable function spaces. The polynomial approximation problem takes the form: Find a polynomial of degree at most n that minimizes the norm of the error. Naturally we will consider (i) whether a solution exists and is unique, (ii) whether the approximation converges as n ! 1. In our section on approximation (loosely following Atkinson, Chapter 4), we will first focus on approximation in the infinity norm, then in the 2 norm and related norms. 2 Existence for optimal polynomial approximation. Theorem (no reference): For every n ≥ 0 and f 2 C([a; b]) there is a polynomial of degree ≤ n that minimizes kf(x) − p(x)k where k · k is some norm on C([a; b]). Proof: To show that a minimum/minimizer exists, we want to find some compact subset of the set of polynomials of degree ≤ n (which is a finite-dimensional space) and show that the inf over this subset is less than the inf over everything else.
    [Show full text]
  • 32 FA15 Abstracts
    32 FA15 Abstracts IP1 metric simple exclusion process and the KPZ equation. In Vector-Valued Nonsymmetric and Symmetric Jack addition, the experiments of Takeuchi and Sano will be and Macdonald Polynomials briefly discussed. For each partition τ of N there are irreducible representa- Craig A. Tracy tions of the symmetric group SN and the associated Hecke University of California, Davis algebra HN (q) on a real vector space Vτ whose basis is [email protected] indexed by the set of reverse standard Young tableaux of shape τ. The talk concerns orthogonal bases of Vτ -valued polynomials of x ∈ RN . The bases consist of polyno- IP6 mials which are simultaneous eigenfunctions of commuta- Limits of Orthogonal Polynomials and Contrac- tive algebras of differential-difference operators, which are tions of Lie Algebras parametrized by κ and (q, t) respectively. These polynomi- als reduce to the ordinary Jack and Macdonald polynomials In this talk, I will discuss the connection between superin- when the partition has just one part (N). The polynomi- tegrable systems and classical systems of orthogonal poly- als are constructed by means of the Yang-Baxter graph. nomials in particular in the expansion coefficients between There is a natural bilinear form, which is positive-definite separable coordinate systems, related to representations of for certain ranges of parameter values depending on τ,and the (quadratic) symmetry algebras. This connection al- there are integral kernels related to the bilinear form for lows us to extend the Askey scheme of classical orthogonal the group case, of Gaussian and of torus type. The mate- polynomials and the limiting processes within the scheme.
    [Show full text]
  • Orthogonal Functions: the Legendre, Laguerre, and Hermite Polynomials
    ORTHOGONAL FUNCTIONS: THE LEGENDRE, LAGUERRE, AND HERMITE POLYNOMIALS THOMAS COVERSON, SAVARNIK DIXIT, ALYSHA HARBOUR, AND TYLER OTTO Abstract. The Legendre, Laguerre, and Hermite equations are all homogeneous second order Sturm-Liouville equations. Using the Sturm-Liouville Theory we will be able to show that polynomial solutions to these equations are orthogonal. In a more general context, finding that these solutions are orthogonal allows us to write a function as a Fourier series with respect to these solutions. 1. Introduction The Legendre, Laguerre, and Hermite equations have many real world practical uses which we will not discuss here. We will only focus on the methods of solution and use in a mathematical sense. In solving these equations explicit solutions cannot be found. That is solutions in in terms of elementary functions cannot be found. In many cases it is easier to find a numerical or series solution. There is a generalized Fourier series theory which allows one to write a function f(x) as a linear combination of an orthogonal system of functions φ1(x),φ2(x),...,φn(x),... on [a; b]. The series produced is called the Fourier series with respect to the orthogonal system. While the R b a f(x)φn(x)dx coefficients ,which can be determined by the formula cn = R b 2 , a φn(x)dx are called the Fourier coefficients with respect to the orthogonal system. We are concerned only with showing that the Legendre, Laguerre, and Hermite polynomial solutions are orthogonal and can thus be used to form a Fourier series. In order to proceed we must define an inner product and define what it means for a linear operator to be self- adjoint.
    [Show full text]
  • 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]
  • Generalizations and Specializations of Generating Functions for Jacobi, Gegenbauer, Chebyshev and Legendre Polynomials with Definite Integrals
    Journal of Classical Analysis Volume 3, Number 1 (2013), 17–33 doi:10.7153/jca-03-02 GENERALIZATIONS AND SPECIALIZATIONS OF GENERATING FUNCTIONS FOR JACOBI, GEGENBAUER, CHEBYSHEV AND LEGENDRE POLYNOMIALS WITH DEFINITE INTEGRALS HOWARD S. COHL AND CONNOR MACKENZIE Abstract. In this paper we generalize and specialize generating functions for classical orthogo- nal polynomials, namely Jacobi, Gegenbauer, Chebyshev and Legendre polynomials. We derive a generalization of the generating function for Gegenbauer polynomials through extension a two element sequence of generating functions for Jacobi polynomials. Specializations of generat- ing functions are accomplished through the re-expression of Gauss hypergeometric functions in terms of less general functions. Definite integrals which correspond to the presented orthogonal polynomial series expansions are also given. 1. Introduction This paper concerns itself with analysis of generating functions for Jacobi, Gegen- bauer, Chebyshev and Legendre polynomials involving generalization and specializa- tion by re-expression of Gauss hypergeometric generating functions for these orthog- onal polynomials. The generalizations that we present here are for two of the most important generating functions for Jacobi polynomials, namely [4, (4.3.1–2)].1 In fact, these are the first two generating functions which appear in Section 4.3 of [4]. As we will show, these two generating functions, traditionally expressed in terms of Gauss hy- pergeometric functions, can be re-expressed in terms of associated Legendre functions (and also in terms of Ferrers functions, associated Legendre functions on the real seg- ment ( 1,1)). Our Jacobi polynomial generating function generalizations, Theorem 1, Corollary− 1 and Corollary 2, generalize the generating function for Gegenbauer polyno- mials.
    [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]
  • Arxiv:2008.08079V2 [Math.FA] 29 Dec 2020 Hypergroups Is Not Required)
    HARMONIC ANALYSIS OF LITTLE q-LEGENDRE POLYNOMIALS STEFAN KAHLER Abstract. Many classes of orthogonal polynomials satisfy a specific linearization prop- erty giving rise to a polynomial hypergroup structure, which offers an elegant and fruitful link to harmonic and functional analysis. From the opposite point of view, this allows regarding certain Banach algebras as L1-algebras, associated with underlying orthogonal polynomials or with the corresponding orthogonalization measures. The individual be- havior strongly depends on these underlying polynomials. We study the little q-Legendre polynomials, which are orthogonal with respect to a discrete measure. Their L1-algebras have been known to be not amenable but to satisfy some weaker properties like right character amenability. We will show that the L1-algebras associated with the little q- Legendre polynomials share the property that every element can be approximated by linear combinations of idempotents. This particularly implies that these L1-algebras are weakly amenable (i. e., every bounded derivation into the dual module is an inner deriva- tion), which is known to be shared by any L1-algebra of a locally compact group. As a crucial tool, we establish certain uniform boundedness properties of the characters. Our strategy relies on continued fractions, character estimations and asymptotic behavior. 1. Introduction 1.1. Motivation. One of the most famous results of mathematics, the ‘Banach–Tarski paradox’, states that any ball in d ≥ 3 dimensions can be split into a finite number of pieces in such a way that these pieces can be reassembled into two balls of the original size. It is also well-known that there is no analogue for d 2 f1; 2g, and the Banach–Tarski paradox heavily relies on the axiom of choice [37].
    [Show full text]
  • 8.3 - Chebyshev Polynomials
    8.3 - Chebyshev Polynomials 8.3 - Chebyshev Polynomials Chebyshev polynomials Definition Chebyshev polynomial of degree n ≥= 0 is defined as Tn(x) = cos (n arccos x) ; x 2 [−1; 1]; or, in a more instructive form, Tn(x) = cos nθ ; x = cos θ ; θ 2 [0; π] : Recursive relation of Chebyshev polynomials T0(x) = 1 ;T1(x) = x ; Tn+1(x) = 2xTn(x) − Tn−1(x) ; n ≥ 1 : Thus 2 3 4 2 T2(x) = 2x − 1 ;T3(x) = 4x − 3x ; T4(x) = 8x − 8x + 1 ··· n−1 Tn(x) is a polynomial of degree n with leading coefficient 2 for n ≥ 1. 8.3 - Chebyshev Polynomials Orthogonality Chebyshev polynomials are orthogonal w.r.t. weight function w(x) = p 1 . 1−x2 Namely, Z 1 T (x)T (x) 0 if m 6= n np m dx = (1) 2 π −1 1 − x 2 if n = m for each n ≥ 1 Theorem (Roots of Chebyshev polynomials) The roots of Tn(x) of degree n ≥ 1 has n simple zeros in [−1; 1] at 2k−1 x¯k = cos 2n π ; for each k = 1; 2 ··· n : Moreover, Tn(x) assumes its absolute extrema at 0 kπ 0 k x¯k = cos n ; with Tn(¯xk) = (−1) ; for each k = 0; 1; ··· n : 0 −1 k For k = 0; ··· n, Tn(¯xk) = cos n cos (cos(kπ=n)) = cos(kπ) = (−1) : 8.3 - Chebyshev Polynomials Definition A monic polynomial is a polynomial with leading coefficient 1. The monic Chebyshev polynomial T~n(x) is defined by dividing Tn(x) by 2n−1; n ≥ 1.
    [Show full text]