Extension of Summation Formulas involving Stirling series

Size: px
Start display at page:

Download "Extension of Summation Formulas involving Stirling series"

Transcription

1 Etension of Summation Formulas involving Stirling series Raphael Schumacher arxiv: v [mathnt] 6 May 06 Abstract This paper presents a family of rapidly convergent summation formulas for various finite sums of the form f(), where is a positive real number Introduction In this paper we will use the Euler-Maclaurin summation formula [3, 5] to obtain rapidly convergent series epansions for finite sums involving Stirling series [] Our ey tool will be the so called Weniger transformation [] For eample, one of our summation formulas for the sum, where R is ( ) 3 ( ) l= ( )l (l 3)!! l (l)! S() (l)b l({}) = 3 3 4π ζ = 3 3 4π ζ B ({}) ()() () ) ( ) ( {} 4 {} {} 4 4) () ( 3 ( 4 {}3 3 6 {} {} 48 4) ()() ( 8 {} {} {}3 9 3 {} ()()(3)(4) ( 64 {}4 3 3 {}3 64 {} 7 53 {} 6 640) ()()(3) {} 79 30), where the B l () s are the Bernoulli polynomials S () (l) denotes the Stirling numbers of the first ind Most of the other formulas in this article have a similar shape Setting in the above formula for the variable := n N, we obtain n ( ) 3 = 3 n3 n 4π ζ = 3 n3 n 4π ζ n ) ( 3 n 4(n) 79 n 30(n)(n)(n3)(n4), which is the corresponding formula given in our previous paper [8] ( ) l= ( )l (l 3)!! (l) (n)(n) (n) n 4(n)(n) 53 n 640(n)(n)(n3) l (l)! B ls ()

2 Definitions As usual, we denote the floor of by the fractional part of by {} Definition (Pochhammer symbol)[] We define the Pochhammer symbol (or rising factorial function) () by () := ()()(3) ( ) = Γ(), Γ() where Γ() is the gamma function defined by Γ() := 0 e t t dt Definition (Stirling numbers of the first ind)[] Let,l N 0 be two non-negative integers such that l 0 We define the Stirling numbers of the first ind S () (l) as the connecting coefficients in the identity where () is the rising factorial function () = ( ) ( ) l S () (l)l, l=0 Definition 3 (Bernoulli numbers)[] We define the -th Bernoulli number B as the -th coefficient in the generating function relation e = B! C with < π Definition 4 (Euler numbers)[3] We define the sequence of Euler numbers {E } by the generating function identity e e = E! Definition 5 (Bernoulli polynomials)[, 3] We define for n N 0 the n-th Bernoulli polynomial B n () via the following eponential generating function as te t e t = n=0 B n () t n t C with t < π n! Using this epression, we see that the value of the n-th Bernoulli polynomial B n () at the point = 0 is B n (0) = B n, which is the n-th Bernoulli number

3 Definition 6 (Euler polynomials)[3] We define for n N 0 the n-th Euler polynomial E n () via the following eponential generating function as Moreover, we have that [4] e t e t = n=0 E n () t n n! E n (0) = ( n ) B n n n N 0 3 Etended Summation Formulas involving Stirling Series In this section we will prove our summation formulas for various finite sums of the form f() For this, we need the following Lemma 7 (Etended Euler-Maclaurin summation formula)[3, 5] Let f be an analytic function Then for all R, we have that f() = f(t)dt ( )m m! m ( ) B ({})! B m ({t})f (m) (t)dt, f ( ) () m B! f( ) () where B m () is the m-th Bernoulli polynomial {} denotes the fractional part of Therefore, for many functions f we have the asymptotic epansion f() for some constant C C f(t)dtc ( ) B ({})! Lemma 8 (Etended Boole summation formula)[3] Let f be an analytic function Then for all R, we have that ( ) f() = ( ) {} ( )m m! m ( ) E ({})! f () () ( ) t {t} E m ({t})f (m) (t)dt, 3 f ( ) () as, m ( )B f () () ( )!

4 where E m () is the m-th Euler polynomial {} denotes the fractional part of Therefore, for many functions f we have the asymptotic epansion ( ) f() C ( ) {} ( ) E ({})! f () () as, for some constant C C From the above lemma we get by setting := n N the following Corollary 9 (Boole Summation Formula)[3] Let f be an analytic function Then for all n N, we have n m ( ) f() = ( ) n ( ) ( )B f () (n) ( )! ( )m m! the following asymptotic epansion ( ) t {t} E m ({t})f (m) (t)dt, m ( )B f () () ( )! n ( ) f() C ( ) n ( ) ( )B f () (n) as n, ( )! for some constant C C As well as the net ey result found by J Weniger: Lemma 0 (Generalized Weniger transformation)[] For every inverse power series a (), where a () is any function in, the following transformation formula holds a () = ( ) () = Now, we prove as an eample the following ( ) l S () (l)a l() l= ( ) l= ( )l S () (l)a l() ()() () Theorem (Etended summation formulas for the harmonic series) = log()γ B ({}) ( ) l ( ) l= l S() (l)b l({}) ()() () 4

5 We also have that = log()γ ( ) l ( ) l= S () l (l)b l({}) ()() () Proof Applying the etended Euler-Maclaurin summation formula to the function f() :=, we get that log()γ B ({}) Applying now the generalized Weniger transformation to the equivalent series log()γ B ({}) log()γ B ({}) = B ({}) B ({}) ( ), we get the first claimed formula To obtain the second epression, we apply the generalized Weniger transformation to the identity log()γ B ({}) At this point, we want to give an overview on summation formulas obtained with this method: ) Etended summation formulas for the harmonic series: = log()γ B ({}) ( ) l ( ) l= l S() (l)b l({}) ()() () = log()γ ( ) l ( ) l= S () l (l)b l({}) ()() () 5

6 ) Etended summation formulas for the partial sums of ζ(): = ζ() B ({}) ( ) l= ( )l S () (l)b l({}) ()() () = ζ() ( ) l= ( )l S () (l)b l({}) ()() () 3) Etended summation formulas for the partial sums of ζ(3): = ζ(3) 3 B ({}) 3 = ζ(3) 3 ( ) l= ( )l (l)s () (l)b l({}) ()() () ( ) l= ( )l (l)s () (l)b l({}) ()() () 4) Etended summation formulas for the sum of the square roots: = 3 3 4π ζ ( ) 3 B ({}) ( ) l (l 3)!! ( ) l= S () l (l)! (l)b l({}), ()() () = 3 3 4π ζ ( ) 3 B ({}) B ({}) 4 ( ) l (l )!! S () l (l)! ( ) l= (l)b l({}) ()() () = 3 3 4π ζ ( ) 3 ( ) l (l 5)!! ( ) l= S () l l! (l)b l({}) ()() () 6

7 5) Etended summation formulas for the partial sums of ζ( 3/): = π ζ ( ) 5 3 B ({}) 3 3 ( ) l (l 5)!! ( ) l= S () l (l)! (l)b l({}), ()() () = π ζ 3 ( ) 5 3 B ({}) 3 B ({}) B 3({}) 4 4 ( ) l (l )!! ( ) l= S () l (l3)! (l)b l3({}) ()() () = π ζ ( ) ( ) l (l 7)!! ( ) l= S () l l! (l)b l({}) ()() () 6) Etended summation formulas for the partial sums of ζ( 5/): = π 3ζ ( ) 7 5 B ({}) ( ) l (l 7)!! ( ) l= S () l (l)! (l)b l({}), ()() () = π 3ζ 5 4 ( ) 7 5 B ({}) B ({}) 5 B3 ({}) 5B 4({}) 8 64 ( ) l (l )!! ( ) l= S () l (l4)! (l)b l4({}) ()() () = π 3ζ ( ) ( ) l (l 9)!! ( ) l= S () l 3 l! (l)b l({}) ()() () 7

8 7) Etended summation formulas for the sum of the inverse square roots: = ζ ( ) B ({}) ( ) l (l )!! ( ) l= S () l (l)! (l)b l({}) ()() () = ζ ( ) ( ) l (l 3)!! ( ) l= S () l l! (l)b l({}) ()() () 8) Etended summation formulas for the partial sums of ζ(3/): = ζ ( ) 3 B ({}) ( ) l (l)!! ( ) l= S () l (l)! (l)b l({}) ()() () = ζ ( ) 3 ( ) l (l )!! ( ) l= S () l l! (l)b l({}) ()() () 9) Etended summation formulas for the partial sums of ζ(5/): = ζ = ζ ( ) ( ) B ({}) ( ) l (l3)!! ( ) l= S () l (l)! (l)b l({}) ()() () ( ) l (l)!! ( ) l= S () l l! (l)b l({}) ()() () 0) Etended Generalized Faulhaber Formulas: For every positive real number R for every comple number m C\{ }, we have that m = m m ζ( m) m m 8 ( m ) () ( ) l= l S (l)b l({}) ()() ()

9 m = m m ζ( m) m B ({}) m m m = m m ζ( m) m m ( ) m m m m ( m ) () ( ) l= l S (l)b l({}) ()() () ( ) m ( ) B ({}) m ( ) m () ( ) l= l m S ()() () (l)b l m ({}) ) Generalized Faulhaber Formulas: For every comple number m C\{ } every natural number n N, we have that n n m = m nm ζ( m) nm m m = m nm ζ( m) nm nm m n m = m nm ζ( m) m m ( ) m nm m m ( ) ( m ) l= Bl S () l (l) (n)(n) (n) ( m ) ( ) l= Bl S () l (l) (n)(n) (n) ( ) m ( ) B n m ( ) m ( ) l= Bl m S () l m (l) (n)(n) (n) ) Etended convergent versions of Stirling s formula: log() = log() log(π) log()b ({}) ( ) l ( ) l= l(l) S() (l)b l({}) ()() (), 9

10 log() = log() log(π) log()b ({}) B ({}) ( ) l ( ) l= (l)(l) S() (l)b l({}) ()() () that log() = log() log(π) log()b ({}) ( ) l ( ) l= l(l ) S() (l)b l({}) ()() () 3) Etended first logarithmic summation formulas: log() = log() 4 ζ ( ) log()b ({}) log()b ({}) ( ) l ( ) l= l(l)(l) S() (l)b l({}) ()() () log() = log() 4 ( ) log()b ζ ({}) log()b ({}) B 3({}) 6 ( ) l ( ) l= (l)(l)(l3) S() (l)b l3({}) ()() () 4) Etended second logarithmic summation formula: log() = log() γ log() B ({}) log() ( ) l ( ) l= (l)! S() l ()S() (l)b l({}) ()() () ( ) l= l S() (l)b l({}) ()() () 0

11 5) Etended third logarithmic summation formula: log() = ζ () log() ( ) l= log() log() B ({}) l ( l m=0 m l m ) S () (l)b l({}) ()() () ( ) l= S() (l)b l({}) ()() () 6) Etended fourth logarithmic summation formula: log() = log() log() γ π 4 log() log()log(π) log(π) γ log() B ({}) log() B ({}) log() ( ) l ( ) l= (l)! S() l ()S() (l)b l({}) ()() () ( ) l= (l)(l) S() (l)b l({}) ()() () 7) Etended summation formula for partial sums of the Gregory-Leibniz series: ( ) = π 4 ( ) {} Setting := n N, we get that n ( ) = π 4 ( )n ( ) l=0 ( )l l S () (l)e l({}) ()()(3) ( ) ( ) ( ) l l=0 l l ( l )S () (l)b l (n)(n)(n3) (n ) 8) Etended formula for the partial sums of the alternating harmonic series: ( ) = log() ( ) {} ( ) l=0 ( )l S () (l)e l({}) ()() ()

12 Setting := n N, we get n ( ) ( ) l = log()( ) n ( ) l=0 l (l )S () n(n)(n) (n) (l)b l 4 Other Etended Summation Formulas for Finite Sums In this section, we denote by η(s) := ( ) s ) The etended alternating Faulhaber formula: ( ) m = η( m) ( ) {} (m) the Dirichlet eta function m ( ) m ( ) ( ) E ({}) m m N 0 Setting := n N, we get n m ( ) ( ) m = η( m) ( )n m ( ) ( ) B n m m N 0 m ) The etended generalized alternating Faulhaber formula: ( ) m = η( m) ( ) {} m Setting := n N, we get (m) ( ) l=0 (l)( ) m () l S (l)e l({}) ()() () m C n ( ) m = η( m) ( )n n m (m) ( m ) ( ) l=0 l ( l )S () (l)b l (n)(n) (n) m C 3) The Geometric Summation Formula: a = a log(a) a a log(a) l ( ) l= S () l! (l)b l({}) l ()() () a Setting := n N, we get n a = an log(a) a an log(a) l ( ) l= S () l! (l)b ln l (n)(n) (n) a

13 4) The alternating Geometric Summation Formula: ( ) a = a ( ) {} log(a) l a ( ) l=0 S () l! (l)e l({}) l a ()() () Setting := n N, we get n ( ) a = a ( )n a n log(a) l ( ) l=0 (l)! (l )S () (l)b ln l a (n)(n) (n) 5) The Euler-Maclaurin Geometric Summation Formula: a = a log(a) a a ( ) log(a)! B ({}) for e π < a < eπ 6) The Euler-Maclaurin alternating Geometric Summation Formula: ( ) a = (a ) a ( ) {}a a ( ) log(a)! B ({}) for e π < a < eπ 7) The Eponential Geometric Summation Formula: e = e e e ( ) B ({})! R 8) The Self-Counting Summation Formula: Let {a } := {,,,3,3,3,4,4,4,4,} be the self-counting sequence [6, 7] defined by a := Then, we have that a = 8 5 ({ B ({})B }) B ({}) 3 4 ({ 8 B }) ({ 8 8 B }) 4 ({ 8 6 B 3 }) 3

14 9) Slowly convergent summation formula for the sum of the square roots: ( = 3 3 B ({}) FresnelS ) π 3 0) Slowly convergent summation formula for the harmonic series: 5 Conclusion = log()γ CosIntegral(π) This paper presents an overview on some rapidly convergent summation formulas obtained by applying the Weniger transformation [] References [] Ernst Joachim Weniger, Summation of divergent power series by means of factorial series, arxiv: v [mathna], 4 May 00 [] Kevin J McGown Harold R Pars, The generalization of Faulhaber s formula to sums of non-integral powers, J Math Anal Appl 330 (007), [3] Jonathan M Borwein, Neil J Calin, Dante Manna, Euler-Boole summation revisited, The American Mathematical Monthly, Vol 6, No 5 (May, 009), DOI: 0469/ X47090, [4] [5] A V Ustinov, A discrete analog of Euler s summation formula, Mathematical Notes, Vol 7, No 6, 00, [6] [7] [8] Raphael Schumacher, Rapidly Convergent Summation Formulas involving Stirling Series, arxiv: v [mathnt], January 06 4

15 00 Mathematics Subject Classification: Primary 65B5; Secondary B68 Keywords: Rapidly convergent summation formulas for finite sums of functions, etended Stirling summation formulas, etended Euler-Maclaurin summation formula, etended Boole summation formula, generalized Weniger transformation, Stirling numbers of the first ind, Bernoulli numbers, Bernoulli polynomials, Euler numbers, Euler polynomials 5

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer.

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer. Problem Sheet,. i) Draw the graphs for [] and {}. ii) Show that for α R, α+ α [t] dt = α and α+ α {t} dt =. Hint Split these integrals at the integer which must lie in any interval of length, such as [α,

More information

New asymptotic expansion for the Γ (x) function

New asymptotic expansion for the Γ (x) function New asymptotic epansion for the Γ function Gergő Nemes December 7, 2008 http://d.doi.org/0.3247/sl2math08.005 Abstract Using a series transformation, Stirling-De Moivre asymptotic series approimation to

More information

Euler-Maclaurin summation formula

Euler-Maclaurin summation formula Physics 4 Spring 6 Euler-Maclaurin summation formula Lecture notes by M. G. Rozman Last modified: March 9, 6 Euler-Maclaurin summation formula gives an estimation of the sum N in f i) in terms of the integral

More information

Harmonic sets and the harmonic prime number theorem

Harmonic sets and the harmonic prime number theorem Harmonic sets and the harmonic prime number theorem Version: 9th September 2004 Kevin A. Broughan and Rory J. Casey University of Waikato, Hamilton, New Zealand E-mail: kab@waikato.ac.nz We restrict primes

More information

RECENT RESULTS ON STIELTJES CONSTANTS ADDENDUM TO HIGHER DERIVATIVES OF THE HURWITZ ZETA FUNCTION. 1. Introduction

RECENT RESULTS ON STIELTJES CONSTANTS ADDENDUM TO HIGHER DERIVATIVES OF THE HURWITZ ZETA FUNCTION. 1. Introduction RECENT RESULTS ON STIELTJES CONSTANTS ADDENDUM TO HIGHER DERIVATIVES OF THE HURWITZ ZETA FUNCTION DOMINIC LANPHIER. Introduction Much recent significant wor on the arithmetic and analytic properties of

More information

Taylor Series and Series Convergence (Online)

Taylor Series and Series Convergence (Online) 7in 0in Felder c02_online.te V3 - February 9, 205 9:5 A.M. Page CHAPTER 2 Taylor Series and Series Convergence (Online) 2.8 Asymptotic Epansions In introductory calculus classes the statement this series

More information

( ) ( ) x. The exponential function f(x) with base b is denoted by x

( ) ( ) x. The exponential function f(x) with base b is denoted by x Page of 7 Eponential and Logarithmic Functions Eponential Functions and Their Graphs: Section Objectives: Students will know how to recognize, graph, and evaluate eponential functions. The eponential function

More information

Example 1: What do you know about the graph of the function

Example 1: What do you know about the graph of the function Section 1.5 Analyzing of Functions In this section, we ll look briefly at four types of functions: polynomial functions, rational functions, eponential functions and logarithmic functions. Eample 1: What

More information

MATH39001 Generating functions. 1 Ordinary power series generating functions

MATH39001 Generating functions. 1 Ordinary power series generating functions MATH3900 Generating functions The reference for this part of the course is generatingfunctionology by Herbert Wilf. The 2nd edition is downloadable free from http://www.math.upenn. edu/~wilf/downldgf.html,

More information

On the stirling expansion into negative powers of a triangular number

On the stirling expansion into negative powers of a triangular number MATHEMATICAL COMMUNICATIONS 359 Math. Commun., Vol. 5, No. 2, pp. 359-364 200) On the stirling expansion into negative powers of a triangular number Cristinel Mortici, Department of Mathematics, Valahia

More information

A Symbolic Operator Approach to Several Summation Formulas for Power Series

A Symbolic Operator Approach to Several Summation Formulas for Power Series A Symbolic Operator Approach to Several Summation Formulas for Power Series T. X. He, L. C. Hsu 2, P. J.-S. Shiue 3, and D. C. Torney 4 Department of Mathematics and Computer Science Illinois Wesleyan

More information

Introduction to Series and Sequences Math 121 Calculus II Spring 2015

Introduction to Series and Sequences Math 121 Calculus II Spring 2015 Introduction to Series and Sequences Math Calculus II Spring 05 The goal. The main purpose of our study of series and sequences is to understand power series. A power series is like a polynomial of infinite

More information

Computer Problems for Taylor Series and Series Convergence

Computer Problems for Taylor Series and Series Convergence Computer Problems for Taylor Series and Series Convergence The two problems below are a set; the first should be done without a computer and the second is a computer-based follow up. 1. The drawing below

More information

SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS. Henri Cohen

SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS. Henri Cohen SOME FORMULAS OF RAMANUJAN INVOLVING BESSEL FUNCTIONS by Henri Cohen Abstract. We generalize a number of summation formulas involving the K-Bessel function, due to Ramanujan, Koshliakov, and others. Résumé.

More information

Some Applications of the Euler-Maclaurin Summation Formula

Some Applications of the Euler-Maclaurin Summation Formula International Mathematical Forum, Vol. 8, 203, no., 9-4 Some Applications of the Euler-Maclaurin Summation Formula Rafael Jakimczuk División Matemática, Universidad Nacional de Luján Buenos Aires, Argentina

More information

ON SOME INEQUALITIES FOR THE INCOMPLETE GAMMA FUNCTION

ON SOME INEQUALITIES FOR THE INCOMPLETE GAMMA FUNCTION MATHEMATICS OF COMPUTATION Volume 66, Number 28, April 997, Pages 77 778 S 25-578(97)84-4 ON SOME INEQUALITIES FOR THE INCOMPLETE GAMMA FUNCTION HORST ALZER Abstract. Let p be a positive real number. We

More information

Dramatis Personae. Robin Whitty. Riemann s Hypothesis, Rewley House, 15 September Queen Mary University of London

Dramatis Personae. Robin Whitty. Riemann s Hypothesis, Rewley House, 15 September Queen Mary University of London Queen Mary University of London Riemann s Hypothesis, Rewley House, 15 September 2013 Symbols Z = {..., 3, 2, 1,0,1,2,3,4,...} the integers R = the real numbers integers, fractions, irrationals C = the

More information

Polyexponentials. Khristo N. Boyadzhiev Ohio Northern University Departnment of Mathematics Ada, OH

Polyexponentials. Khristo N. Boyadzhiev Ohio Northern University Departnment of Mathematics Ada, OH Polyexponentials Khristo N. Boyadzhiev Ohio Northern University Departnment of Mathematics Ada, OH 45810 k-boyadzhiev@onu.edu 1. Introduction. The polylogarithmic function [15] (1.1) and the more general

More information

NORMS OF PRODUCTS OF SINES. A trigonometric polynomial of degree n is an expression of the form. c k e ikt, c k C.

NORMS OF PRODUCTS OF SINES. A trigonometric polynomial of degree n is an expression of the form. c k e ikt, c k C. L NORMS OF PRODUCTS OF SINES JORDAN BELL Abstract Product of sines Summary of paper and motivate it Partly a survey of L p norms of trigonometric polynomials and exponential sums There are no introductory

More information

1 Basic algebra. A few formulas: (a+b) 2 = a 2 +2ab+b 2 (a+b) 3 = a 3 +3a 2 b+3ab 2 +b 3.

1 Basic algebra. A few formulas: (a+b) 2 = a 2 +2ab+b 2 (a+b) 3 = a 3 +3a 2 b+3ab 2 +b 3. Basic algebra A few formulas: (a+b) 2 = a 2 +2ab+b 2 (a+b) 3 = a 3 +3a 2 b+3ab 2 +b 3. The coefficients follow from PASCAL S TRIANGLE, the epansion is called BINOMIAL. Also: a 2 b 2 = (a b)(a+b) a 3 b

More information

Taylor Series and Asymptotic Expansions

Taylor Series and Asymptotic Expansions Taylor Series and Asymptotic Epansions The importance of power series as a convenient representation, as an approimation tool, as a tool for solving differential equations and so on, is pretty obvious.

More information

Math Honors Calculus I Final Examination, Fall Semester, 2013

Math Honors Calculus I Final Examination, Fall Semester, 2013 Math 2 - Honors Calculus I Final Eamination, Fall Semester, 2 Time Allowed: 2.5 Hours Total Marks:. (2 Marks) Find the following: ( (a) 2 ) sin 2. (b) + (ln 2)/(+ln ). (c) The 2-th Taylor polynomial centered

More information

Euler s Formula for.2n/

Euler s Formula for.2n/ Euler s Formula for.2n/ Timothy W. Jones January 28, 208 Abstract In this article we derive a formula for zeta(2) and zeta(2n). Introduction In this paper we derive from scratch k 2 D 2 6 () and k 2p D.

More information

Math 259: Introduction to Analytic Number Theory More about the Gamma function

Math 259: Introduction to Analytic Number Theory More about the Gamma function Math 59: Introduction to Analytic Number Theory More about the Gamma function We collect some more facts about Γs as a function of a complex variable that will figure in our treatment of ζs and Ls, χ.

More information

The incomplete gamma functions. Notes by G.J.O. Jameson. These notes incorporate the Math. Gazette article [Jam1], with some extra material.

The incomplete gamma functions. Notes by G.J.O. Jameson. These notes incorporate the Math. Gazette article [Jam1], with some extra material. The incomplete gamma functions Notes by G.J.O. Jameson These notes incorporate the Math. Gazette article [Jam], with some etra material. Definitions and elementary properties functions: Recall the integral

More information

Here, logx denotes the natural logarithm of x. Mrsky [7], and later Cheo and Yien [2], proved that iz;.(»)=^io 8 "0(i).

Here, logx denotes the natural logarithm of x. Mrsky [7], and later Cheo and Yien [2], proved that iz;.(»)=^io 8 0(i). Curtis Cooper f Robert E* Kennedy, and Milo Renberg Dept. of Mathematics, Central Missouri State University, Warrensburg, MO 64093-5045 (Submitted January 1997-Final Revision June 1997) 0. INTRODUCTION

More information

Name. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question.

Name. SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. REVIEW Eam #3 : 3.2-3.6, 4.1-4.5, 5.1 Name SHORT ANSWER. Write the word or phrase that best completes each statement or answers the question. Use the Leading Coefficient Test to determine the end behavior

More information

THE SERIES SUM OF DIVERGENT ALTERNATING INFINITE SERIES AND THE NATURE OF INFINITY. Peter G. Bass

THE SERIES SUM OF DIVERGENT ALTERNATING INFINITE SERIES AND THE NATURE OF INFINITY. Peter G. Bass THE SERIES SUM OF DIVERGENT ALTERNATING INFINITE SERIES AND THE NATURE OF INFINITY. Peter G. Bass PGBass M6 Ver..0.0 www.relativitydomains.com November 0 ABSTRACT. This paper presents three methods for

More information

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach

On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach On the Convergence of the Summation Formulas Constructed by Using a Symbolic Operator Approach Tian-Xiao He 1, Leetsch C. Hsu 2, and Peter J.-S. Shiue 3 1 Department of Mathematics and Computer Science

More information

A GENERALIZATION OF POST-WIDDER OPERATORS

A GENERALIZATION OF POST-WIDDER OPERATORS ANALELE ŞTIINŢIFICE ALE UNIVERSITĂŢII AL.I. CUZA DIN IAŞI S.N.) MATEMATICĂ Tomul LXII 16 f.1 A GENERALIZATION OF POST-WIDDER OPERATORS BASED ON -INTEGERS BY DIDEM AYDIN ALI ARAL and GÜLEN BAŞCANBAZ-TUNCA

More information

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26.

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26. Answer Key 969 BC 97 BC. C. E. B. D 5. E 6. B 7. D 8. C 9. D. A. B. E. C. D 5. B 6. B 7. B 8. E 9. C. A. B. E. D. C 5. A 6. C 7. C 8. D 9. C. D. C. B. A. D 5. A 6. B 7. D 8. A 9. D. E. D. B. E. E 5. E.

More information

ζ (s) = s 1 s {u} [u] ζ (s) = s 0 u 1+sdu, {u} Note how the integral runs from 0 and not 1.

ζ (s) = s 1 s {u} [u] ζ (s) = s 0 u 1+sdu, {u} Note how the integral runs from 0 and not 1. Problem Sheet 3. From Theorem 3. we have ζ (s) = + s s {u} u+sdu, (45) valid for Res > 0. i) Deduce that for Res >. [u] ζ (s) = s u +sdu ote the integral contains [u] in place of {u}. ii) Deduce that for

More information

Explicit formulas for computing Bernoulli numbers of the second kind and Stirling numbers of the first kind

Explicit formulas for computing Bernoulli numbers of the second kind and Stirling numbers of the first kind Filomat 28:2 (24), 39 327 DOI.2298/FIL4239O Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Explicit formulas for computing Bernoulli

More information

A PROBABILISTIC PROOF OF WALLIS S FORMULA FOR π. ( 1) n 2n + 1. The proof uses the fact that the derivative of arctan x is 1/(1 + x 2 ), so π/4 =

A PROBABILISTIC PROOF OF WALLIS S FORMULA FOR π. ( 1) n 2n + 1. The proof uses the fact that the derivative of arctan x is 1/(1 + x 2 ), so π/4 = A PROBABILISTIC PROOF OF WALLIS S FORMULA FOR π STEVEN J. MILLER There are many beautiful formulas for π see for example [4]). The purpose of this note is to introduce an alternate derivation of Wallis

More information

Section 4.5 Graphs of Logarithmic Functions

Section 4.5 Graphs of Logarithmic Functions 6 Chapter 4 Section 4. Graphs of Logarithmic Functions Recall that the eponential function f ( ) would produce this table of values -3 - -1 0 1 3 f() 1/8 ¼ ½ 1 4 8 Since the arithmic function is an inverse

More information

Chapter 8. Exponential and Logarithmic Functions

Chapter 8. Exponential and Logarithmic Functions Chapter 8 Eponential and Logarithmic Functions Lesson 8-1 Eploring Eponential Models Eponential Function The general form of an eponential function is y = ab. Growth Factor When the value of b is greater

More information

Course. Print and use this sheet in conjunction with MathinSite s Maclaurin Series applet and worksheet.

Course. Print and use this sheet in conjunction with MathinSite s Maclaurin Series applet and worksheet. Maclaurin Series Learning Outcomes After reading this theory sheet, you should recognise the difference between a function and its polynomial epansion (if it eists!) understand what is meant by a series

More information

Math RE - Calculus I Exponential & Logarithmic Functions Page 1 of 9. y = f(x) = 2 x. y = f(x)

Math RE - Calculus I Exponential & Logarithmic Functions Page 1 of 9. y = f(x) = 2 x. y = f(x) Math 20-0-RE - Calculus I Eponential & Logarithmic Functions Page of 9 Eponential Function The general form of the eponential function equation is = f) = a where a is a real number called the base of the

More information

±. Then. . x. lim g( x) = lim. cos x 1 sin x. and (ii) lim

±. Then. . x. lim g( x) = lim. cos x 1 sin x. and (ii) lim MATH 36 L'H ˆ o pital s Rule Si of the indeterminate forms of its may be algebraically determined using L H ˆ o pital's Rule. This rule is only stated for the / and ± /± indeterminate forms, but four other

More information

10.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1.

10.1 Sequences. Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1. 10.1 Sequences Example: A sequence is a function f(n) whose domain is a subset of the integers. Notation: *Note: n = 0 vs. n = 1 Examples: EX1: Find a formula for the general term a n of the sequence,

More information

IRRATIONAL FACTORS SATISFYING THE LITTLE FERMAT THEOREM

IRRATIONAL FACTORS SATISFYING THE LITTLE FERMAT THEOREM International Journal of Number Theory Vol., No. 4 (005) 499 5 c World Scientific Publishing Company IRRATIONAL FACTORS SATISFYING THE LITTLE FERMAT THEOREM Int. J. Number Theory 005.0:499-5. Downloaded

More information

1 Exponential Functions Limit Derivative Integral... 5

1 Exponential Functions Limit Derivative Integral... 5 Contents Eponential Functions 3. Limit................................................. 3. Derivative.............................................. 4.3 Integral................................................

More information

Math 141: Lecture 19

Math 141: Lecture 19 Math 141: Lecture 19 Convergence of infinite series Bob Hough November 16, 2016 Bob Hough Math 141: Lecture 19 November 16, 2016 1 / 44 Series of positive terms Recall that, given a sequence {a n } n=1,

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

3.2 Logarithmic Functions and Their Graphs

3.2 Logarithmic Functions and Their Graphs 96 Chapter 3 Eponential and Logarithmic Functions 3.2 Logarithmic Functions and Their Graphs Logarithmic Functions In Section.6, you studied the concept of an inverse function. There, you learned that

More information

The Riemann and Hurwitz zeta functions, Apery s constant and new rational series representations involving ζ(2k)

The Riemann and Hurwitz zeta functions, Apery s constant and new rational series representations involving ζ(2k) The Riemann and Hurwitz zeta functions, Apery s constant and new rational series representations involving ζ(k) Cezar Lupu 1 1 Department of Mathematics University of Pittsburgh Pittsburgh, PA, USA Algebra,

More information

Harmonic Numbers. Math. 55 Some Inequalities May 9, :54 pm

Harmonic Numbers. Math. 55 Some Inequalities May 9, :54 pm This document was created with FrameMaker 44 Math. 55 Some Inequalities May 9, 1999 1:54 pm The Eercises after Ch. 3.2 in our tetbook, Discrete Mathematics and Its Applications 4th. ed. by K. Rosen (1999),

More information

The Generating Functions for Pochhammer

The Generating Functions for Pochhammer The Generating Functions for Pochhammer Symbol { }, n N Aleksandar Petoević University of Novi Sad Teacher Training Faculty, Department of Mathematics Podgorička 4, 25000 Sombor SERBIA and MONTENEGRO Email

More information

Generalized Akiyama-Tanigawa Algorithm for Hypersums of Powers of Integers

Generalized Akiyama-Tanigawa Algorithm for Hypersums of Powers of Integers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 16 (2013, Article 1332 Generalized Aiyama-Tanigawa Algorithm for Hypersums of Powers of Integers José Luis Cereceda Distrito Telefónica, Edificio Este

More information

Chapter 4 Sequences and Series

Chapter 4 Sequences and Series Chapter 4 Sequences and Series 4.1 Sequence Review Sequence: a set of elements (numbers or letters or a combination of both). The elements of the set all follow the same rule (logical progression). The

More information

A Simple Counterexample to Havil s Reformulation of the Riemann Hypothesis

A Simple Counterexample to Havil s Reformulation of the Riemann Hypothesis A Simple Counterexample to Havil s Reformulation of the Riemann Hypothesis Jonathan Sondow 209 West 97th Street New York, NY 0025 jsondow@alumni.princeton.edu The Riemann Hypothesis (RH) is the greatest

More information

Calculus w/applications Prerequisite Packet Paint Branch High School Math Department

Calculus w/applications Prerequisite Packet Paint Branch High School Math Department Updated 6/014 The problems in this packet are designed to help you review topics from previous math courses that are important to your success in Calculus with Applications. It is important that you take

More information

Elementary properties of the gamma function

Elementary properties of the gamma function Appendi G Elementary properties of the gamma function G.1 Introduction The elementary definition of the gamma function is Euler s integral: 1 Γ(z) = 0 t z 1 e t. (G.1) For the sake of convergence of the

More information

HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK

HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK HUDSONVILLE HIGH SCHOOL COURSE FRAMEWORK COURSE / SUBJECT A P C a l c u l u s ( B C ) KEY COURSE OBJECTIVES/ENDURING UNDERSTANDINGS OVERARCHING/ESSENTIAL SKILLS OR QUESTIONS Limits and Continuity Derivatives

More information

Core Mathematics 2 Unit C2 AS

Core Mathematics 2 Unit C2 AS Core Mathematics 2 Unit C2 AS compulsory unit for GCE AS and GCE Mathematics, GCE AS and GCE Pure Mathematics C2.1 Unit description Algebra and functions; coordinate geometry in the (, y) plane; sequences

More information

Convergence of Some Divergent Series!

Convergence of Some Divergent Series! Convergence of Some Divergent Series! T. Muthukumar tmk@iitk.ac.in 9 Jun 04 The topic of this article, the idea of attaching a finite value to divergent series, is no longer a purely mathematical exercise.

More information

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy Math 4 Spring 08 problem set. (a) Consider these two first order equations. (I) d d = + d (II) d = Below are four direction fields. Match the differential equations above to their direction fields. Provide

More information

MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS

MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS MOMENTS OF HYPERGEOMETRIC HURWITZ ZETA FUNCTIONS ABDUL HASSEN AND HIEU D. NGUYEN Abstract. This paper investigates a generalization the classical Hurwitz zeta function. It is shown that many of the properties

More information

Polynomials and Rational Functions (2.1) The shape of the graph of a polynomial function is related to the degree of the polynomial

Polynomials and Rational Functions (2.1) The shape of the graph of a polynomial function is related to the degree of the polynomial Polynomials and Rational Functions (2.1) The shape of the graph of a polynomial function is related to the degree of the polynomial Shapes of Polynomials Look at the shape of the odd degree polynomials

More information

Bernoulli Polynomials

Bernoulli Polynomials Chapter 4 Bernoulli Polynomials 4. Bernoulli Numbers The generating function for the Bernoulli numbers is x e x = n= B n n! xn. (4.) That is, we are to expand the left-hand side of this equation in powers

More information

arxiv: v1 [math.ca] 2 Nov 2012

arxiv: v1 [math.ca] 2 Nov 2012 Completely monotone functions - a digest Milan Merkle arxiv:2.9v [math.ca] 2 Nov 22 Abstract. This work has a purpose to collect selected facts about the completely monotone CMfunctions thatcan befound

More information

Math 180A. Lecture 16 Friday May 7 th. Expectation. Recall the three main probability density functions so far (1) Uniform (2) Exponential.

Math 180A. Lecture 16 Friday May 7 th. Expectation. Recall the three main probability density functions so far (1) Uniform (2) Exponential. Math 8A Lecture 6 Friday May 7 th Epectation Recall the three main probability density functions so far () Uniform () Eponential (3) Power Law e, ( ), Math 8A Lecture 6 Friday May 7 th Epectation Eample

More information

Honors Advanced Algebra Unit 2 Polynomial Operations September 14, 2016 Task 7: What s Your Identity?

Honors Advanced Algebra Unit 2 Polynomial Operations September 14, 2016 Task 7: What s Your Identity? Honors Advanced Algebra Name Unit Polynomial Operations September 14, 016 Task 7: What s Your Identity? MGSE9 1.A.APR.4 Prove polynomial identities and use them to describe numerical relationships. MGSE9

More information

Generalized Near-Bell Numbers

Generalized Near-Bell Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 12 2009, Article 09.5.7 Generalized Near-Bell Numbers Martin Griffiths Department of Mathematical Sciences University of Esse Wivenhoe Par Colchester

More information

Tail Approximation of the Skew-Normal by the Skew-Normal Laplace: Application to Owen s T Function and the Bivariate Normal Distribution

Tail Approximation of the Skew-Normal by the Skew-Normal Laplace: Application to Owen s T Function and the Bivariate Normal Distribution Journal of Statistical and Econometric ethods vol. no. 3 - ISS: 5-557 print version 5-565online Scienpress Ltd 3 Tail Approimation of the Skew-ormal by the Skew-ormal Laplace: Application to Owen s T Function

More information

Exponential and Logarithmic Functions

Exponential and Logarithmic Functions Lesson 6 Eponential and Logarithmic Fu tions Lesson 6 Eponential and Logarithmic Functions Eponential functions are of the form y = a where a is a constant greater than zero and not equal to one and is

More information

Review of Power Series

Review of Power Series Review of Power Series MATH 365 Ordinary Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Introduction In addition to the techniques we have studied so far, we may use power

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) A.J.Hobson JUST THE MATHS UNIT NUMBER.5 DIFFERENTIATION APPLICATIONS 5 (Maclaurin s and Taylor s series) by A.J.Hobson.5. Maclaurin s series.5. Standard series.5.3 Taylor s series.5.4 Exercises.5.5 Answers to exercises

More information

Super congruences involving binomial coefficients and new series for famous constants

Super congruences involving binomial coefficients and new series for famous constants Tal at the 5th Pacific Rim Conf. on Math. (Stanford Univ., 2010 Super congruences involving binomial coefficients and new series for famous constants Zhi-Wei Sun Nanjing University Nanjing 210093, P. R.

More information

rama.tex; 21/03/2011; 0:37; p.1

rama.tex; 21/03/2011; 0:37; p.1 rama.tex; /03/0; 0:37; p. Multiple Gamma Function and Its Application to Computation of Series and Products V. S. Adamchik Department of Computer Science, Carnegie Mellon University, Pittsburgh, USA Abstract.

More information

Math M111: Lecture Notes For Chapter 10

Math M111: Lecture Notes For Chapter 10 Math M: Lecture Notes For Chapter 0 Sections 0.: Inverse Function Inverse function (interchange and y): Find the equation of the inverses for: y = + 5 ; y = + 4 3 Function (from section 3.5): (Vertical

More information

CHAPTER 2 DIFFERENTIATION 2.1 FIRST ORDER DIFFERENTIATION. What is Differentiation?

CHAPTER 2 DIFFERENTIATION 2.1 FIRST ORDER DIFFERENTIATION. What is Differentiation? BA01 ENGINEERING MATHEMATICS 01 CHAPTER DIFFERENTIATION.1 FIRST ORDER DIFFERENTIATION What is Differentiation? Differentiation is all about finding rates of change of one quantity compared to another.

More information

Pre-Calculus and Trigonometry Capacity Matrix

Pre-Calculus and Trigonometry Capacity Matrix Pre-Calculus and Capacity Matri Review Polynomials A1.1.4 A1.2.5 Add, subtract, multiply and simplify polynomials and rational epressions Solve polynomial equations and equations involving rational epressions

More information

Received 24 November 2015; accepted 17 January 2016; published 20 January 2016

Received 24 November 2015; accepted 17 January 2016; published 20 January 2016 Applied Mathematics, 06, 7, 40-60 Published Online January 06 in SciRes. http://www.scirp.org/journal/am http://d.doi.org/0.436/am.06.7004 The Formulas to Compare the Convergences of Newton s Method and

More information

Applications of Fourier Series and Zeta Functions to Genocchi Polynomials

Applications of Fourier Series and Zeta Functions to Genocchi Polynomials Appl. Math. Inf. Sci., No. 5, 95-955 (8) 95 Applied Mathematics & Information Sciences An International Journal http://d.doi.org/.8576/amis/58 Applications of Fourier Series Zeta Functions to Genocchi

More information

arxiv: v2 [math.gm] 24 May 2016

arxiv: v2 [math.gm] 24 May 2016 arxiv:508.00533v [math.gm] 4 May 06 A PROOF OF THE RIEMANN HYPOTHESIS USING THE REMAINDER TERM OF THE DIRICHLET ETA FUNCTION. JEONWON KIM Abstract. The Dirichlet eta function can be divided into n-th partial

More information

Mathematics 132 Calculus for Physical and Life Sciences 2 Exam 3 Review Sheet April 15, 2008

Mathematics 132 Calculus for Physical and Life Sciences 2 Exam 3 Review Sheet April 15, 2008 Mathematics 32 Calculus for Physical and Life Sciences 2 Eam 3 Review Sheet April 5, 2008 Sample Eam Questions - Solutions This list is much longer than the actual eam will be (to give you some idea of

More information

Math 1B Final Exam, Solution. Prof. Mina Aganagic Lecture 2, Spring (6 points) Use substitution and integration by parts to find:

Math 1B Final Exam, Solution. Prof. Mina Aganagic Lecture 2, Spring (6 points) Use substitution and integration by parts to find: Math B Final Eam, Solution Prof. Mina Aganagic Lecture 2, Spring 20 The eam is closed book, apart from a sheet of notes 8. Calculators are not allowed. It is your responsibility to write your answers clearly..

More information

ON GENERAL PRIME NUMBER THEOREMS WITH REMAINDER

ON GENERAL PRIME NUMBER THEOREMS WITH REMAINDER ON GENERAL PRIME NUMBER THEOREMS WITH REMAINDER GREGORY DEBRUYNE AND JASSON VINDAS Abstract. We show that for Beurling generalized numbers the prime number theorem in remainder form ( π( = Li( + O log

More information

A Note about the Pochhammer Symbol

A Note about the Pochhammer Symbol Mathematica Moravica Vol. 12-1 (2008), 37 42 A Note about the Pochhammer Symbol Aleksandar Petoević Abstract. In this paper we give elementary proofs of the generating functions for the Pochhammer symbol

More information

MATH115. Infinite Series. Paolo Lorenzo Bautista. July 17, De La Salle University. PLBautista (DLSU) MATH115 July 17, / 43

MATH115. Infinite Series. Paolo Lorenzo Bautista. July 17, De La Salle University. PLBautista (DLSU) MATH115 July 17, / 43 MATH115 Infinite Series Paolo Lorenzo Bautista De La Salle University July 17, 2014 PLBautista (DLSU) MATH115 July 17, 2014 1 / 43 Infinite Series Definition If {u n } is a sequence and s n = u 1 + u 2

More information

WBHS Algebra 2 - Final Exam

WBHS Algebra 2 - Final Exam Class: _ Date: _ WBHS Algebra 2 - Final Eam Multiple Choice Identify the choice that best completes the statement or answers the question. Describe the pattern in the sequence. Find the net three terms.

More information

Some Fun with Divergent Series

Some Fun with Divergent Series Some Fun with Divergent Series 1. Preliminary Results We begin by examining the (divergent) infinite series S 1 = 1 + 2 + 3 + 4 + 5 + 6 + = k=1 k S 2 = 1 2 + 2 2 + 3 2 + 4 2 + 5 2 + 6 2 + = k=1 k 2 (i)

More information

Week 2: Sequences and Series

Week 2: Sequences and Series QF0: Quantitative Finance August 29, 207 Week 2: Sequences and Series Facilitator: Christopher Ting AY 207/208 Mathematicians have tried in vain to this day to discover some order in the sequence of prime

More information

Investigating Geometric and Exponential Polynomials with Euler-Seidel Matrices

Investigating Geometric and Exponential Polynomials with Euler-Seidel Matrices 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol. 14 (2011), Article 11.4.6 Investigating Geometric and Exponential Polynomials with Euler-Seidel Matrices Ayhan Dil and Veli Kurt Department of Mathematics

More information

Solutions to Math 41 Final Exam December 9, 2013

Solutions to Math 41 Final Exam December 9, 2013 Solutions to Math 4 Final Eam December 9,. points In each part below, use the method of your choice, but show the steps in your computations. a Find f if: f = arctane csc 5 + log 5 points Using the Chain

More information

Lecture 21 Power Series Method at Singular Points Frobenius Theory

Lecture 21 Power Series Method at Singular Points Frobenius Theory Lecture 1 Power Series Method at Singular Points Frobenius Theory 10/8/011 Review. The usual power series method, that is setting y = a n 0 ) n, breaks down if 0 is a singular point. Here breaks down means

More information

Using the TI-92+ : examples

Using the TI-92+ : examples Using the TI-9+ : eamples Michel Beaudin École de technologie supérieure 1100, rue Notre-Dame Ouest Montréal (Québec) Canada, H3C 1K3 mbeaudin@seg.etsmtl.ca 1- Introduction We incorporated the use of the

More information

MATH 1431-Precalculus I

MATH 1431-Precalculus I MATH 43-Precalculus I Chapter 4- (Composition, Inverse), Eponential, Logarithmic Functions I. Composition of a Function/Composite Function A. Definition: Combining of functions that output of one function

More information

Problem Set 9 Solutions

Problem Set 9 Solutions 8.4 Problem Set 9 Solutions Total: 4 points Problem : Integrate (a) (b) d. ( 4 + 4)( 4 + 5) d 4. Solution (4 points) (a) We use the method of partial fractions to write A B (C + D) = + +. ( ) ( 4 + 5)

More information

Worksheet Week 7 Section

Worksheet Week 7 Section Worksheet Week 7 Section 8.. 8.4. This worksheet is for improvement of your mathematical writing skill. Writing using correct mathematical epression and steps is really important part of doing math. Please

More information

12.3 Properties of Logarithms

12.3 Properties of Logarithms 12.3 Properties of Logarithms The Product Rule Let b, and N be positive real numbers with b 1. N = + N The logarithm of a product is the sum of the logarithms of the factors. Eample 1: Use the product

More information

Integer Powers of Arcsin

Integer Powers of Arcsin Integer Powers of Arcsin Jonathan M. Borwein and Marc Chamberland February 5, 7 Abstract: New simple nested sum representations for powers of the arcsin function are given. This generalization of Ramanujan

More information

Lecture 5: Rules of Differentiation. First Order Derivatives

Lecture 5: Rules of Differentiation. First Order Derivatives Lecture 5: Rules of Differentiation First order derivatives Higher order derivatives Partial differentiation Higher order partials Differentials Derivatives of implicit functions Generalized implicit function

More information

Mathematical Background. e x2. log k. a+b a + b. Carlos Moreno uwaterloo.ca EIT e π i 1 = 0.

Mathematical Background. e x2. log k. a+b a + b. Carlos Moreno uwaterloo.ca EIT e π i 1 = 0. Mathematical Background Carlos Moreno cmoreno @ uwaterloo.ca EIT-4103 N k=0 log k 0 e x2 e π i 1 = 0 dx a+b a + b https://ece.uwaterloo.ca/~cmoreno/ece250 Mathematical Background Standard reminder to set

More information

every hour 8760 A every minute 525,000 A continuously n A

every hour 8760 A every minute 525,000 A continuously n A In the previous lesson we introduced Eponential Functions and their graphs, and covered an application of Eponential Functions (Compound Interest). We saw that when interest is compounded n times per year

More information

MATH 417 Homework 6 Instructor: D. Cabrera Due July Find the radius of convergence for each power series below. c n+1 c n (n + 1) 2 (z 3) n+1

MATH 417 Homework 6 Instructor: D. Cabrera Due July Find the radius of convergence for each power series below. c n+1 c n (n + 1) 2 (z 3) n+1 MATH 47 Homework 6 Instructor: D. Cabrera Due Jul 2. Find the radius of convergence for each power series below. (a) (b) n 2 (z 3) n n=2 e n (z + i) n n=4 Solution: (a) Using the Ratio Test we have L =

More information

The Prime Number Theorem

The Prime Number Theorem The Prime Number Theorem We study the distribution of primes via the function π(x) = the number of primes x 6 5 4 3 2 2 3 4 5 6 7 8 9 0 2 3 4 5 2 It s easier to draw this way: π(x) = the number of primes

More information

Summary sheet: Exponentials and logarithms

Summary sheet: Exponentials and logarithms F Know and use the function a and its graph, where a is positive Know and use the function e and its graph F2 Know that the gradient of e k is equal to ke k and hence understand why the eponential model

More information

-- Chapter 9: Generating Function. Hung-Yu Kao ( ) Department of Computer Science and Information Engineering, National lcheng Kung University

-- Chapter 9: Generating Function. Hung-Yu Kao ( ) Department of Computer Science and Information Engineering, National lcheng Kung University Discrete Mathematics -- Chapter 9: Generating Function Hung-Yu Kao ( ) Department of Computer Science and Information Engineering, National lcheng Kung University Outline Calculational Techniques Partitions

More information