Factorial Ratios, Hypergeometric Series, and a Family of Step Functions
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Tsinghua Lectures on Hypergeometric Functions (Unfinished and Comments Are Welcome)
Tsinghua Lectures on Hypergeometric Functions (Unfinished and comments are welcome) Gert Heckman Radboud University Nijmegen [email protected] December 8, 2015 1 Contents Preface 2 1 Linear differential equations 6 1.1 Thelocalexistenceproblem . 6 1.2 Thefundamentalgroup . 11 1.3 The monodromy representation . 15 1.4 Regular singular points . 17 1.5 ThetheoremofFuchs .. .. .. .. .. .. 23 1.6 TheRiemann–Hilbertproblem . 26 1.7 Exercises ............................. 33 2 The Euler–Gauss hypergeometric function 39 2.1 The hypergeometric function of Euler–Gauss . 39 2.2 The monodromy according to Schwarz–Klein . 43 2.3 The Euler integral revisited . 49 2.4 Exercises ............................. 52 3 The Clausen–Thomae hypergeometric function 55 3.1 The hypergeometric function of Clausen–Thomae . 55 3.2 The monodromy according to Levelt . 62 3.3 The criterion of Beukers–Heckman . 66 3.4 Intermezzo on Coxeter groups . 71 3.5 Lorentzian Hypergeometric Groups . 75 3.6 Prime Number Theorem after Tchebycheff . 87 3.7 Exercises ............................. 93 2 Preface The Euler–Gauss hypergeometric function ∞ α(α + 1) (α + k 1)β(β + 1) (β + k 1) F (α, β, γ; z) = · · · − · · · − zk γ(γ + 1) (γ + k 1)k! Xk=0 · · · − was introduced by Euler in the 18th century, and was well studied in the 19th century among others by Gauss, Riemann, Schwarz and Klein. The numbers α, β, γ are called the parameters, and z is called the variable. On the one hand, for particular values of the parameters this function appears in various problems. For example α (1 z)− = F (α, 1, 1; z) − arcsin z = 2zF (1/2, 1, 3/2; z2 ) π K(z) = F (1/2, 1/2, 1; z2 ) 2 α(α + 1) (α + n) 1 z P (α,β)(z) = · · · F ( n, α + β + n + 1; α + 1 − ) n n! − | 2 with K(z) the Jacobi elliptic integral of the first kind given by 1 dx K(z)= , Z0 (1 x2)(1 z2x2) − − p (α,β) and Pn (z) the Jacobi polynomial of degree n, normalized by α + n P (α,β)(1) = . -
Formal Power Series - Wikipedia, the Free Encyclopedia
Formal power series - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Formal_power_series Formal power series From Wikipedia, the free encyclopedia In mathematics, formal power series are a generalization of polynomials as formal objects, where the number of terms is allowed to be infinite; this implies giving up the possibility to substitute arbitrary values for indeterminates. This perspective contrasts with that of power series, whose variables designate numerical values, and which series therefore only have a definite value if convergence can be established. Formal power series are often used merely to represent the whole collection of their coefficients. In combinatorics, they provide representations of numerical sequences and of multisets, and for instance allow giving concise expressions for recursively defined sequences regardless of whether the recursion can be explicitly solved; this is known as the method of generating functions. Contents 1 Introduction 2 The ring of formal power series 2.1 Definition of the formal power series ring 2.1.1 Ring structure 2.1.2 Topological structure 2.1.3 Alternative topologies 2.2 Universal property 3 Operations on formal power series 3.1 Multiplying series 3.2 Power series raised to powers 3.3 Inverting series 3.4 Dividing series 3.5 Extracting coefficients 3.6 Composition of series 3.6.1 Example 3.7 Composition inverse 3.8 Formal differentiation of series 4 Properties 4.1 Algebraic properties of the formal power series ring 4.2 Topological properties of the formal power series -
Sequence Rules
SEQUENCE RULES A connected series of five of the same colored chip either up or THE JACKS down, across or diagonally on the playing surface. There are 8 Jacks in the card deck. The 4 Jacks with TWO EYES are wild. To play a two-eyed Jack, place it on your discard pile and place NOTE: There are printed chips in the four corners of the game board. one of your marker chips on any open space on the game board. The All players must use them as though their color marker chip is in 4 jacks with ONE EYE are anti-wild. To play a one-eyed Jack, place the corner. When using a corner, only four of your marker chips are it on your discard pile and remove one marker chip from the game needed to complete a Sequence. More than one player may use the board belonging to your opponent. That completes your turn. You same corner as part of a Sequence. cannot place one of your marker chips on that same space during this turn. You cannot remove a marker chip that is already part of a OBJECT OF THE GAME: completed SEQUENCE. Once a SEQUENCE is achieved by a player For 2 players or 2 teams: One player or team must score TWO SE- or a team, it cannot be broken. You may play either one of the Jacks QUENCES before their opponents. whenever they work best for your strategy, during your turn. For 3 players or 3 teams: One player or team must score ONE SE- DEAD CARD QUENCE before their opponents. -
0.999… = 1 an Infinitesimal Explanation Bryan Dawson
0 1 2 0.9999999999999999 0.999… = 1 An Infinitesimal Explanation Bryan Dawson know the proofs, but I still don’t What exactly does that mean? Just as real num- believe it.” Those words were uttered bers have decimal expansions, with one digit for each to me by a very good undergraduate integer power of 10, so do hyperreal numbers. But the mathematics major regarding hyperreals contain “infinite integers,” so there are digits This fact is possibly the most-argued- representing not just (the 237th digit past “Iabout result of arithmetic, one that can evoke great the decimal point) and (the 12,598th digit), passion. But why? but also (the Yth digit past the decimal point), According to Robert Ely [2] (see also Tall and where is a negative infinite hyperreal integer. Vinner [4]), the answer for some students lies in their We have four 0s followed by a 1 in intuition about the infinitely small: While they may the fifth decimal place, and also where understand that the difference between and 1 is represents zeros, followed by a 1 in the Yth less than any positive real number, they still perceive a decimal place. (Since we’ll see later that not all infinite nonzero but infinitely small difference—an infinitesimal hyperreal integers are equal, a more precise, but also difference—between the two. And it’s not just uglier, notation would be students; most professional mathematicians have not or formally studied infinitesimals and their larger setting, the hyperreal numbers, and as a result sometimes Confused? Perhaps a little background information wonder . -
Transformation Formulas for the Generalized Hypergeometric Function with Integral Parameter Differences
CORE Metadata, citation and similar papers at core.ac.uk Provided by Abertay Research Portal Transformation formulas for the generalized hypergeometric function with integral parameter differences A. R. Miller Formerly Professor of Mathematics at George Washington University, 1616 18th Street NW, No. 210, Washington, DC 20009-2525, USA [email protected] and R. B. Paris Division of Complex Systems, University of Abertay Dundee, Dundee DD1 1HG, UK [email protected] Abstract Transformation formulas of Euler and Kummer-type are derived respectively for the generalized hypergeometric functions r+2Fr+1(x) and r+1Fr+1(x), where r pairs of numeratorial and denominatorial parameters differ by positive integers. Certain quadratic transformations for the former function, as well as a summation theorem when x = 1, are also considered. Mathematics Subject Classification: 33C15, 33C20 Keywords: Generalized hypergeometric function, Euler transformation, Kummer trans- formation, Quadratic transformations, Summation theorem, Zeros of entire functions 1. Introduction The generalized hypergeometric function pFq(x) may be defined for complex parameters and argument by the series 1 k a1; a2; : : : ; ap X (a1)k(a2)k ::: (ap)k x pFq x = : (1.1) b1; b2; : : : ; bq (b1)k(b2)k ::: (bq)k k! k=0 When q = p this series converges for jxj < 1, but when q = p − 1 convergence occurs when jxj < 1. However, when only one of the numeratorial parameters aj is a negative integer or zero, then the series always converges since it is simply a polynomial in x of degree −aj. In (1.1) the Pochhammer symbol or ascending factorial (a)k is defined by (a)0 = 1 and for k ≥ 1 by (a)k = a(a + 1) ::: (a + k − 1). -
Arithmetic and Geometric Progressions
Arithmetic and geometric progressions mcTY-apgp-2009-1 This unit introduces sequences and series, and gives some simple examples of each. It also explores particular types of sequence known as arithmetic progressions (APs) and geometric progressions (GPs), and the corresponding series. In order to master the techniques explained here it is vital that you undertake plenty of practice exercises so that they become second nature. After reading this text, and/or viewing the video tutorial on this topic, you should be able to: • recognise the difference between a sequence and a series; • recognise an arithmetic progression; • find the n-th term of an arithmetic progression; • find the sum of an arithmetic series; • recognise a geometric progression; • find the n-th term of a geometric progression; • find the sum of a geometric series; • find the sum to infinity of a geometric series with common ratio r < 1. | | Contents 1. Sequences 2 2. Series 3 3. Arithmetic progressions 4 4. The sum of an arithmetic series 5 5. Geometric progressions 8 6. The sum of a geometric series 9 7. Convergence of geometric series 12 www.mathcentre.ac.uk 1 c mathcentre 2009 1. Sequences What is a sequence? It is a set of numbers which are written in some particular order. For example, take the numbers 1, 3, 5, 7, 9, .... Here, we seem to have a rule. We have a sequence of odd numbers. To put this another way, we start with the number 1, which is an odd number, and then each successive number is obtained by adding 2 to give the next odd number. -
3 Formal Power Series
MT5821 Advanced Combinatorics 3 Formal power series Generating functions are the most powerful tool available to combinatorial enu- merators. This week we are going to look at some of the things they can do. 3.1 Commutative rings with identity In studying formal power series, we need to specify what kind of coefficients we should allow. We will see that we need to be able to add, subtract and multiply coefficients; we need to have zero and one among our coefficients. Usually the integers, or the rational numbers, will work fine. But there are advantages to a more general approach. A favourite object of some group theorists, the so-called Nottingham group, is defined by power series over a finite field. A commutative ring with identity is an algebraic structure in which addition, subtraction, and multiplication are possible, and there are elements called 0 and 1, with the following familiar properties: • addition and multiplication are commutative and associative; • the distributive law holds, so we can expand brackets; • adding 0, or multiplying by 1, don’t change anything; • subtraction is the inverse of addition; • 0 6= 1. Examples incude the integers Z (this is in many ways the prototype); any field (for example, the rationals Q, real numbers R, complex numbers C, or integers modulo a prime p, Fp. Let R be a commutative ring with identity. An element u 2 R is a unit if there exists v 2 R such that uv = 1. The units form an abelian group under the operation of multiplication. Note that 0 is not a unit (why?). -
Formal Power Series License: CC BY-NC-SA
Formal Power Series License: CC BY-NC-SA Emma Franz April 28, 2015 1 Introduction The set S[[x]] of formal power series in x over a set S is the set of functions from the nonnegative integers to S. However, the way that we represent elements of S[[x]] will be as an infinite series, and operations in S[[x]] will be closely linked to the addition and multiplication of finite-degree polynomials. This paper will introduce a bit of the structure of sets of formal power series and then transfer over to a discussion of generating functions in combinatorics. The most familiar conceptualization of formal power series will come from taking coefficients of a power series from some sequence. Let fang = a0; a1; a2;::: be a sequence of numbers. Then 2 the formal power series associated with fang is the series A(s) = a0 + a1s + a2s + :::, where s is a formal variable. That is, we are not treating A as a function that can be evaluated for some s0. In general, A(s0) is not defined, but we will define A(0) to be a0. 2 Algebraic Structure Let R be a ring. We define R[[s]] to be the set of formal power series in s over R. Then R[[s]] is itself a ring, with the definitions of multiplication and addition following closely from how we define these operations for polynomials. 2 2 Let A(s) = a0 + a1s + a2s + ::: and B(s) = b0 + b1s + b1s + ::: be elements of R[[s]]. Then 2 the sum A(s) + B(s) is defined to be C(s) = c0 + c1s + c2s + :::, where ci = ai + bi for all i ≥ 0. -
Computation of Hypergeometric Functions
Computation of Hypergeometric Functions by John Pearson Worcester College Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Mathematical Modelling and Scientific Computing University of Oxford 4 September 2009 Abstract We seek accurate, fast and reliable computations of the confluent and Gauss hyper- geometric functions 1F1(a; b; z) and 2F1(a; b; c; z) for different parameter regimes within the complex plane for the parameters a and b for 1F1 and a, b and c for 2F1, as well as different regimes for the complex variable z in both cases. In order to achieve this, we implement a number of methods and algorithms using ideas such as Taylor and asymptotic series com- putations, quadrature, numerical solution of differential equations, recurrence relations, and others. These methods are used to evaluate 1F1 for all z 2 C and 2F1 for jzj < 1. For 2F1, we also apply transformation formulae to generate approximations for all z 2 C. We discuss the results of numerical experiments carried out on the most effective methods and use these results to determine the best methods for each parameter and variable regime investigated. We find that, for both the confluent and Gauss hypergeometric functions, there is no simple answer to the problem of their computation, and different methods are optimal for different parameter regimes. Our conclusions regarding the best methods for computation of these functions involve techniques from a wide range of areas in scientific computing, which are discussed in this dissertation. We have also prepared MATLAB code that takes account of these conclusions. -
A Mathematical Example: Factorial Example: Fibonnaci Sequence Fibonacci As a Recursive Function Fibonacci: # of Frames Vs. # Of
10/14/15 A Mathematical Example: Factorial Example: Fibonnaci Sequence • Non-recursive definition: • Sequence of numbers: 1, 1, 2, 3, 5, 8, 13, ... a0 a1 a2 a3 a4 a5 a6 n! = n × n-1 × … × 2 × 1 § Get the next number by adding previous two = n (n-1 × … × 2 × 1) § What is a8? • Recursive definition: • Recursive definition: § a = a + a Recursive Case n! = n (n-1)! for n ≥ 0 Recursive case n n-1 n-2 § a0 = 1 Base Case 0! = 1 Base case § a1 = 1 (another) Base Case What happens if there is no base case? Why did we need two base cases this time? Fibonacci as a Recursive Function Fibonacci: # of Frames vs. # of Calls def fibonacci(n): • Function that calls itself • Fibonacci is very inefficient. """Returns: Fibonacci no. an § Each call is new frame § fib(n) has a stack that is always ≤ n Precondition: n ≥ 0 an int""" § Frames require memory § But fib(n) makes a lot of redundant calls if n <= 1: § ∞ calls = ∞ memo ry return 1 fib(5) fibonacci 3 Path to end = fib(4) fib(3) return (fibonacci(n-1)+ n 5 the call stack fibonacci(n-2)) fib(3) fib(2) fib(2) fib(1) fibonacci 1 fibonacci 1 fib(2) fib(1) fib(1) fib(0) fib(1) fib(0) n 4 n 3 fib(1) fib(0) How to Think About Recursive Functions Understanding the String Example 1. Have a precise function specification. def num_es(s): • Break problem into parts """Returns: # of 'e's in s""" 2. Base case(s): # s is empty number of e’s in s = § When the parameter values are as small as possible if s == '': Base case number of e’s in s[0] § When the answer is determined with little calculation. -
A Note on the 2F1 Hypergeometric Function
A Note on the 2F1 Hypergeometric Function Armen Bagdasaryan Institution of the Russian Academy of Sciences, V.A. Trapeznikov Institute for Control Sciences 65 Profsoyuznaya, 117997, Moscow, Russia E-mail: [email protected] Abstract ∞ α The special case of the hypergeometric function F represents the binomial series (1 + x)α = xn 2 1 n=0 n that always converges when |x| < 1. Convergence of the series at the endpoints, x = ±1, dependsP on the values of α and needs to be checked in every concrete case. In this note, using new approach, we reprove the convergence of the hypergeometric series for |x| < 1 and obtain new result on its convergence at point x = −1 for every integer α = 0, that is we prove it for the function 2F1(α, β; β; x). The proof is within a new theoretical setting based on a new method for reorganizing the integers and on the original regular method for summation of divergent series. Keywords: Hypergeometric function, Binomial series, Convergence radius, Convergence at the endpoints 1. Introduction Almost all of the elementary functions of mathematics are either hypergeometric or ratios of hypergeometric functions. Moreover, many of the non-elementary functions that arise in mathematics and physics also have representations as hypergeometric series, that is as special cases of a series, generalized hypergeometric function with properly chosen values of parameters ∞ (a ) ...(a ) F (a , ..., a ; b , ..., b ; x)= 1 n p n xn p q 1 p 1 q (b ) ...(b ) n! n=0 1 n q n X Γ(w+n) where (w)n ≡ Γ(w) = w(w + 1)(w + 2)...(w + n − 1), (w)0 = 1 is a Pochhammer symbol and n!=1 · 2 · .. -
Lauricella's Hypergeometric Function
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 7, 452-470 (1963) Lauricella’s Hypergeometric Function FD* B. C. CARLSON Institute for Atomic Research and D@artment of Physics, Iowa State University, Ames, Iowa Submitted by Richard Bellman I. INTRODUCTION In 1880 Appell defined four hypergeometric series in two variables, which were generalized to 71variables in a straightforward way by Lauricella in 1893 [I, 21. One of Lauricella’s series, which includes Appell’s function F, as the case 71= 2 (and, of course, Gauss’s hypergeometric function as the case n = l), is where (a, m) = r(u + m)/r(a). The FD f unction has special importance for applied mathematics and mathematical physics because elliptic integrals are hypergeometric functions of type FD [3]. In Section II of this paper we shall define a hypergeometric function R(u; b,, . ..) b,; zi, “., z,) which is the same as FD except for small but important modifications. Since R is homogeneous in the variables zi, ..., z,, it depends in a nontrivial way on only 71- 1 ratios of these variables; indeed, every R function with n variables is expressible in terms of an FD function with 71- 1 variables, and conversely. Although R and FD are therefore equivalent, R turns out to be more convenient for both theory and applica- tion. The choice of R was initially suggested by the observation that the Euler transformations of FD would be greatly simplified by introducing homo- geneous variables.