A rational approximation of the arctangent function and a new approach in computing pi

Size: px
Start display at page:

Download "A rational approximation of the arctangent function and a new approach in computing pi"

Transcription

1 arxiv:63.33v math.gm] 4 Mar 6 A rational approimation of the arctangent function and a new approach in computing pi S. M. Abrarov and B. M. Quine March 4, 6 Abstract We have shown recently that integration of the error function erf ( represented in form of a sum of the Gaussian functions provides an asymptotic epansion series for the constant pi. In this work we derive a rational approimation of the arctangent function arctan ( that can be readily generalized it to its counterpart sgn ( π/ + arctan (, where sgn ( is the signum function. The application of the epansion series for these two functions leads to a new asymptotic formula for π. Keywords: arctangent function, error function, Gaussian function, rational approimation, constant pi Derivation Consider the following integral ] e y t erf (t dt = ( y π arctan, ( y Dept. Earth and Space Science and Engineering, York University, Toronto, Canada, M3J P3. Dept. Physics and Astronomy, York University, Toronto, Canada, M3J P3.

2 where we imply that all variables t, and y are real. Assuming that y = the integral ( can be rewritten as arctan ( = π e t erf (t dt. ( The error function can be represented in form of a sum of the Gaussian functions (see Appendi A erf ( = lim π e (l /. (3 Consequently, substituting this limit into the equation ( leads to arctan ( = π lim e t t π e (l / t } {{ } erf(t Each integral term in this equation is analytically integrable. Consequently, we obtain a new equation for the arctangent function Since it follows that arctan ( = 4 lim π = 6 lim π = 4 arctan ( dt. (l + 4. (4 (l + 4. (5 It should be noted that the limit (5 has been reported already in our recent work ].

3 Ε Fig.. The difference ε over the range at = (blue, = (red, = 3 (green, = 4 (brown and = 5 (black. Truncation of the limit (4 yields a rational approimation of the arctangent function arctan ( 4 (l + 4. (6 Figure shows the difference between the original arctangent function arctan ( and its rational approimation (6 ε = arctan ( 4 (l + 4 over the range at =, =, = 3, = 4 and = 5 shown by blue, red, green, brown and black curves, respectively. As we can see from this figure, the difference ε is dependent upon. In particular, it increases with increasing argument by absolute value. Thus, we can conclude that the rational approimation (6 of the arctangent function is more accurate when its argument is smaller. Consequently, in order to obtain a higher accuracy we have to look for an equation in the form π = N a n arctan (b n, b n <<, n= 3

4 where a n and b n are the coefficients, with arguments of the arctangent function as small as possible by absolute value b n. For eample, applying the equation (6 we may epect that at some fied the approimation π = 4 arctan ( = 6 (l + 4 is less accurate than the approimation based on the Machin s formula 3, 4] ( ( ] π = 4 4 arctan arctan ( 4 (/5 (l (/5 + 4 /39 (l (/ Furthermore, with same equation (6 for arctan ( we can improve accuracy by using another formula for pi 4] ( ( ( ] π = 4 arctan + 8 arctan 5 arctan ( (/8 6 (l (/ (/57 (l (/ (/39 (l (/ due to smaller arguments b n of the arctangent function. Application. Counterpart function Once the rational approimation (6 for the arctangent function is found, from the identity ( arctan + arctan ( = π sgn (, where, > sgn ( =, =, < 4.

5 is the signum function 5], it follows that 4 (l + 4 π sgn ( + arctan (. (7 Figure shows the epansion series (7 computed at = (blue curve. The arctangent function is also shown for comparison (red curve. As we can see from this figure, on the left-half plane the epansion series (7 is greater than the original arctangent function by π/, while on the right-half plane it is smaller than the original arctangent function by π/. Approimation for Π sgn arctan Fig.. The epansion series (7 computed at = (blue curve resembling the function sgn ( π/ + arctan (. The original arctangent function (red curve is also shown for comparison. The approimation (7 can be replaced with eact relation by tending the integer to infinity and taking the limit as 4 lim (l + 4 = π sgn ( + arctan (. (8 Since this limit represents a simple generalization of the equation (4, the function sgn ( π/ + arctan ( can be regarded as a counterpart to the arctangent function arctan (. 5

6 . Asymptotic formula for pi Using the limits (4 and (8 for the arctangent function arctan ( and its counterpart function sgn ( π/ + arctan (, we can readily obtain an asymptotic epansion series for pi. et us rewrite the equation (8 as follows arctan ( = π sgn ( 4 lim The difference of the equations (9 and (4 yields = π (4 sgn ( lim (l + 4 }{{} eq. (9 or or 4 lim ] (l (l + 4 π = 8 lim (l + 4. (9 ( 4 lim (l + 4 }{{} eq. (4 = π sgn ( ] (l (l + 4 ( since sgn ( = / 5]. Obviously, the equation ( can be interpreted as π = ( ] arctan + arctan (. Remarkably, although the argument is still present in the limit ( this asymptotic epansion series remains, nevertheless, independent of. This signifies that according to equation ( the constant π can be computed at any real value of the argument R. The limit ( can be truncated by an arbitrarily large value >> as given by π 8 (l (l ]. (

7 We performed sample computations by using Wolfram Mathematica 9 in enhanced precision mode in order to visualize the number of coinciding digits with actual value of the constant pi The sample computations show that accuracy of the approimation limit ( depends upon the two values and (the dependence on the argument in the equation ( is due to truncation now. For eample, at = and =, we get }{{} , 5 coinciding digits while at same = but smaller = 9, the result is }{{} coinciding digits Comparing these approimated values with the actual value for the constant pi one can see that at = and = 9 the quantity of coinciding digits are 5 and 33, respectively. It should be noted, however, that the argument cannot be taken arbitrarily small since its optimized value depends upon the chosen integer. 3 Conclusion We obtain an efficient rational approimation for the arctangent function arctan ( that can be generalized to its counterpart function sgn ( π/ + arctan (. The application of the epansion series of the arctangent function and its counterpart results in a new formula for π. The computational test we performed shows that the new asymptotic epansion series for pi may be rapid in convergence. Acknowledgments This work is supported by National Research Council Canada, Thoth Technology Inc. and York University. The authors would like to thank Prof. H. Rosengren and Prof.. Tournier for review and useful information. 7

8 Appendi A Consider an integral of the error function (see integral on page 4 in 6] erf ( = π e u sin ( u du u. This integral can be readily epressed through the sinc function {sinc ( = sin ( /, sinc ( = = } by making change of the variable v = u leading to or erf ( = π = 4 π e v sin (v vdv v e v sin (v dv v erf ( = 4 π = π e v sinc (v dv. e v sin (v dv v The factor in the argument of the sinc function can be ecluded by making change of the variable t = v again. This provides or erf ( = 4 π erf ( = π e t /4 sinc (t dt e t /4 sinc (t dt. (A. As it has been shown in our recent publication, the sinc function can be epressed as given by 7] sinc ( = lim 8 ( l /. (A.

9 From the following integral sinc ( = (u du = (t dt (A.3 it is not difficult to see that the ine epansion (A. of the sinc function is just a result of integration of equation (A.3 performed by using the midpoint rule over each infinitesimal interval t = /. There are many ine epansions of the sinc function can be found from equation (A.3 by taking integral with help of efficient integration methods 8]. For eample, another ine epansions of the sinc function can be found by using the trapezoidal rule + ( sinc ( = lim + and the Simpson s rule sinc ( = lim + ( ( l / ( ] l (A.4 + ( ] l. (A.5 It is interesting to note that the limit (A.5 can also be derived trivially as a weighted sum of equations (A. and (A.4 in a proportion /3 to /3 as follows sinc ( = 3 lim + 3 lim ( l / + ( + ( ] l. Any of these or similar ine epansions of the sinc function can be used in integration to obtain epansion series for the error function erf ( and, consequently, for the constant pi as well. However, as a simplest case we consider an application of equation (A. only. Thus, substituting the ine epansion (A. of the sinc function into the integral (A. yields erf ( = π lim ep ( t /4 ( l / t } {{ } sinc(t dt. 9

10 Each terms in this equation is analytically integrable. Therefore, its integration leads to the epansion series (3 of the error function. The more detailed description of the epansion series (3 of the error function is given in our work ]. References ] H.A. Fayed and A.F. Atiya, An evaluation of the integral of the product of the error function and the normal probability density with application to the bivariate normal integral, Math. Comp., 83 ( S / ] S.M. Abrarov and B.M. Quine, A new asymptotic epansion series for the constant pi, arxiv: ] J.M. Borwein, P.B. Borwein and D.H. Bailey, Ramanujan, modular equations, and approimations to pi or how to compute one billion digits of pi, Amer. Math. Monthly, 96 (3 ( stable/356 4] J.M. Borwein and S.T. Chapman, I prefer pi: A brief history and anthology of articles in the American Mathematical Monthly, Amer. Math. Monthly, (3 ( math.monthly ] E.W. Weisstein, CRC Concise Encyclopedia of Mathematics, nd ed., Chapman & Hall/CRC 3. 6] E.W. Ng and M. Geller, A table of integrals of the error functions, J. Research Natl. Bureau Stand. 73B ( ( ] S.M. Abrarov and B.M. Quine, A rational approimation for efficient computation of the Voigt function in quantitative spectroscopy, J. Math. Research, 7 ( ( Preprint version: arxiv:54.3 8] J.H. Mathews and K.D. Fink, Numerical methods using Matlab, 4 th ed., Prentice Hall 999.

Identities for the arctangent function by enhanced midpoint integration and the high-accuracy computation of pi

Identities for the arctangent function by enhanced midpoint integration and the high-accuracy computation of pi arxiv:1604.03752v1 [math.gm] 10 Apr 2016 Identities for the arctangent function by enhanced midpoint integration and the high-accuracy computation of pi S. M. Abrarov and B. M. Quine April 10, 2016 Abstract

More information

A formula for pi involving nested radicals

A formula for pi involving nested radicals arxiv:60.0773v [math.gm] 7 Apr 08 A formula for pi involving nested radicals S. M. Abrarov and B. M. Quine April 7, 08 Abstract We present a new formula for pi involving nested radicals with rapid convergence.

More information

arxiv: v2 [math.gm] 3 Jan 2018

arxiv: v2 [math.gm] 3 Jan 2018 arxiv:1712.04414v2 [math.gm] 3 Jan 2018 Efficient computation of pi by the Newton Raphson iteration and a two-term Machin-like formula S. M. Abrarov and B. M. Quine January 3, 2018 Abstract In our recent

More information

An iteration procedure for a two-term Machin-like formula for pi with small Lehmer s measure

An iteration procedure for a two-term Machin-like formula for pi with small Lehmer s measure arxiv:706.08835v3 [math.gm] 6 Jul 07 An iteration procedure for a two-term Machin-like formula for pi with small Lehmer s measure S. M. Abrarov and B. M. Quine July 6, 07 Abstract In this paper we present

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

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

Lecture 4.2 Finite Difference Approximation

Lecture 4.2 Finite Difference Approximation Lecture 4. Finite Difference Approimation 1 Discretization As stated in Lecture 1.0, there are three steps in numerically solving the differential equations. They are: 1. Discretization of the domain by

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

Numerical Integration (Quadrature) Another application for our interpolation tools!

Numerical Integration (Quadrature) Another application for our interpolation tools! Numerical Integration (Quadrature) Another application for our interpolation tools! Integration: Area under a curve Curve = data or function Integrating data Finite number of data points spacing specified

More information

Chapter 9. Derivatives. Josef Leydold Mathematical Methods WS 2018/19 9 Derivatives 1 / 51. f x. (x 0, f (x 0 ))

Chapter 9. Derivatives. Josef Leydold Mathematical Methods WS 2018/19 9 Derivatives 1 / 51. f x. (x 0, f (x 0 )) Chapter 9 Derivatives Josef Leydold Mathematical Methods WS 208/9 9 Derivatives / 5 Difference Quotient Let f : R R be some function. The the ratio f = f ( 0 + ) f ( 0 ) = f ( 0) 0 is called difference

More information

MATH section 3.1 Maximum and Minimum Values Page 1 of 7

MATH section 3.1 Maximum and Minimum Values Page 1 of 7 MATH section. Maimum and Minimum Values Page of 7 Definition : Let c be a number in the domain D of a function f. Then c ) is the Absolute maimum value of f on D if ) c f() for all in D. Absolute minimum

More information

Integral approximations to π with nonnegative integrands

Integral approximations to π with nonnegative integrands Integral approximations to π with nonnegative integrands S.K. Lucas Department of Mathematics and Statistics James Madison University Harrisonburg VA 2287 Email: lucassk@jmu.edu May 27 One of the more

More information

MATH 108 REVIEW TOPIC 6 Radicals

MATH 108 REVIEW TOPIC 6 Radicals Math 08 T6-Radicals Page MATH 08 REVIEW TOPIC 6 Radicals I. Computations with Radicals II. III. IV. Radicals Containing Variables Rationalizing Radicals and Rational Eponents V. Logarithms Answers to Eercises

More information

MA 114 Worksheet #01: Integration by parts

MA 114 Worksheet #01: Integration by parts Fall 8 MA 4 Worksheet Thursday, 3 August 8 MA 4 Worksheet #: Integration by parts. For each of the following integrals, determine if it is best evaluated by integration by parts or by substitution. If

More information

Exam 2 Solutions, Math March 17, ) = 1 2

Exam 2 Solutions, Math March 17, ) = 1 2 Eam Solutions, Math 56 March 7, 6. Use the trapezoidal rule with n = 3 to approimate (Note: The eact value of the integral is ln 5 +. (you do not need to verify this or use it in any way to complete this

More information

Math 181, Exam 2, Fall 2014 Problem 1 Solution. sin 3 (x) cos(x) dx.

Math 181, Exam 2, Fall 2014 Problem 1 Solution. sin 3 (x) cos(x) dx. Math 8, Eam 2, Fall 24 Problem Solution. Integrals, Part I (Trigonometric integrals: 6 points). Evaluate the integral: sin 3 () cos() d. Solution: We begin by rewriting sin 3 () as Then, after using the

More information

= 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

Gaussian integrals. Calvin W. Johnson. September 9, The basic Gaussian and its normalization

Gaussian integrals. Calvin W. Johnson. September 9, The basic Gaussian and its normalization Gaussian integrals Calvin W. Johnson September 9, 24 The basic Gaussian and its normalization The Gaussian function or the normal distribution, ep ( α 2), () is a widely used function in physics and mathematical

More information

Regent College Maths Department. Core Mathematics 4 Trapezium Rule. C4 Integration Page 1

Regent College Maths Department. Core Mathematics 4 Trapezium Rule. C4 Integration Page 1 Regent College Maths Department Core Mathematics Trapezium Rule C Integration Page Integration It might appear to be a bit obvious but you must remember all of your C work on differentiation if you are

More information

A Natural Extension of the Pythagorean Equation to Higher Dimensions

A Natural Extension of the Pythagorean Equation to Higher Dimensions A Natural Extension of the Pythagorean Equation to Higher Dimensions Marc Chamberland Department of Mathematics and Statistics Grinnell College Grinnell, Iowa 50112 August 25, 2008 Abstract. The Pythagorean

More information

Advanced Higher Grade

Advanced Higher Grade Prelim Eamination / 5 (Assessing Units & ) MATHEMATICS Advanced Higher Grade Time allowed - hours Read Carefully. Full credit will be given only where the solution contains appropriate woring.. Calculators

More information

Iteration & Fixed Point

Iteration & Fixed Point Iteration & Fied Point As a method for finding the root of f this method is difficult, but it illustrates some important features of iterstion. We could write f as f g and solve g. Definition.1 (Fied Point)

More information

Evaluation of integrals by differentiation with respect to a parameter

Evaluation of integrals by differentiation with respect to a parameter December 8 Evaluation of integrals by differentiation with respect to a parameter Khristo N Boyadzhiev Department of Mathematics and Statistics, Ohio Northern University, Ada, OH 458, USA k-boyadzhiev@onuedu

More information

Representation of Functions by Power Series. Geometric Power Series

Representation of Functions by Power Series. Geometric Power Series 60_0909.qd //0 :09 PM Page 669 SECTION 9.9 Representation of Functions b Power Series 669 The Granger Collection Section 9.9 JOSEPH FOURIER (768 80) Some of the earl work in representing functions b power

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

MATH MIDTERM 4 - SOME REVIEW PROBLEMS WITH SOLUTIONS Calculus, Fall 2017 Professor: Jared Speck. Problem 1. Approximate the integral

MATH MIDTERM 4 - SOME REVIEW PROBLEMS WITH SOLUTIONS Calculus, Fall 2017 Professor: Jared Speck. Problem 1. Approximate the integral MATH 8. - MIDTERM 4 - SOME REVIEW PROBLEMS WITH SOLUTIONS 8. Calculus, Fall 7 Professor: Jared Speck Problem. Approimate the integral 4 d using first Simpson s rule with two equal intervals and then the

More information

DIFFERENTIATING UNDER THE INTEGRAL SIGN

DIFFERENTIATING UNDER THE INTEGRAL SIGN DIFFEENTIATING UNDE THE INTEGAL SIGN KEITH CONAD I had learned to do integrals by various methods shown in a book that my high school physics teacher Mr. Bader had given me. [It] showed how to differentiate

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

THE inverse tangent function is an elementary mathematical

THE inverse tangent function is an elementary mathematical A Sharp Double Inequality for the Inverse Tangent Function Gholamreza Alirezaei arxiv:307.983v [cs.it] 8 Jul 03 Abstract The inverse tangent function can be bounded by different inequalities, for eample

More information

Lecture 12 Reactions as Rare Events 3/02/2009 Notes by MIT Student (and MZB)

Lecture 12 Reactions as Rare Events 3/02/2009 Notes by MIT Student (and MZB) Lecture 1 Reactions as Rare Events 3/0/009 Notes by MIT Student (and MZB) 1. Introduction In this lecture, we ll tackle the general problem of reaction rates involving particles jumping over barriers in

More information

RAMANUJAN: A TALE OF TWO EVALUATIONS

RAMANUJAN: A TALE OF TWO EVALUATIONS ROCKY MOUNTAIN JOURNAL OF MATHEMATICS Volume 46, Number 3, 06 RAMANUJAN: A TALE OF TWO EVALUATIONS DONALD J. MANZOLI ABSTRACT. In 887, beneath a canopy of stars, Srinivasa Ramanujan commenced his brief

More information

Review: Limits of Functions - 10/7/16

Review: Limits of Functions - 10/7/16 Review: Limits of Functions - 10/7/16 1 Right and Left Hand Limits Definition 1.0.1 We write lim a f() = L to mean that the function f() approaches L as approaches a from the left. We call this the left

More information

CISE-301: Numerical Methods Topic 1:

CISE-301: Numerical Methods Topic 1: CISE-3: Numerical Methods Topic : Introduction to Numerical Methods and Taylor Series Lectures -4: KFUPM Term 9 Section 8 CISE3_Topic KFUPM - T9 - Section 8 Lecture Introduction to Numerical Methods What

More information

Chapter 3 Single Random Variables and Probability Distributions (Part 1)

Chapter 3 Single Random Variables and Probability Distributions (Part 1) Chapter 3 Single Random Variables and Probability Distributions (Part 1) Contents What is a Random Variable? Probability Distribution Functions Cumulative Distribution Function Probability Density Function

More information

2.2. Limits Involving Infinity. Copyright 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall

2.2. Limits Involving Infinity. Copyright 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall 2.2 Limits Involving Infinity Copyright 2007 Pearson Education, Inc. Publishing as Pearson Prentice Hall Finite Limits as x ± What you ll learn about Sandwich Theorem Revisited Infinite Limits as x a End

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

π in terms of φ via the Machin s Route

π in terms of φ via the Machin s Route in terms of φ via the Machin s Route Hei-Chi Chan Mathematical Science Program, University of Illinois at Springfield Springfield, IL 62703-507 email: chan.hei-chi@uis.edu Abstract In this paper, we prove

More information

Calculus II Practice Test Problems for Chapter 7 Page 1 of 6

Calculus II Practice Test Problems for Chapter 7 Page 1 of 6 Calculus II Practice Test Problems for Chapter 7 Page of 6 This is a set of practice test problems for Chapter 7. This is in no way an inclusive set of problems there can be other types of problems on

More information

Master-Slave Algorithm for Highly Accurate and Rapid Computation of the Voigt/Complex Error Function

Master-Slave Algorithm for Highly Accurate and Rapid Computation of the Voigt/Complex Error Function Journal of Mathematics Research; Vol. 6, No. 2; 214 ISSN 1916-9795 E-ISSN 1916-989 Published by Canadian Center of Science and Education Master-Slave Algorithm for Highly Accurate and Rapid Computation

More information

arxiv: v2 [math.nt] 28 Feb 2010

arxiv: v2 [math.nt] 28 Feb 2010 arxiv:002.47v2 [math.nt] 28 Feb 200 Two arguments that the nontrivial zeros of the Riemann zeta function are irrational Marek Wolf e-mail:mwolf@ift.uni.wroc.pl Abstract We have used the first 2600 nontrivial

More information

arxiv: v1 [math.nt] 20 Mar 2017

arxiv: v1 [math.nt] 20 Mar 2017 On certain ratios regarding integer numbers which are both triangulars and squares arxiv:1703.06701v1 [math.nt] 0 Mar 017 Fabio Roman Abstract We investigate integer numbers which possess at the same time

More information

8.4 Integration of Rational Functions by Partial Fractions Lets use the following example as motivation: Ex: Consider I = x+5

8.4 Integration of Rational Functions by Partial Fractions Lets use the following example as motivation: Ex: Consider I = x+5 Math 2-08 Rahman Week6 8.4 Integration of Rational Functions by Partial Fractions Lets use the following eample as motivation: E: Consider I = +5 2 + 2 d. Solution: Notice we can easily factor the denominator

More information

{ } and let N = 1, 0, 1, 2, 3

{ } and let N = 1, 0, 1, 2, 3 LUZERNE COUNTY MATHEMATICS CONTEST Luzerne County Council of Teachers of Mathematics Wilkes University - 2014 Junior Eamination (Section II) NAME: SCHOOL: Address: City/ZIP: Telephone: Directions: For

More information

Integrals of the form. Notes by G.J.O. Jameson. I f (x) = x. f(t) cos t dt, S f (x) = x

Integrals of the form. Notes by G.J.O. Jameson. I f (x) = x. f(t) cos t dt, S f (x) = x Integrals of the form f(t)eit dt Notes by G.J.O. Jameson Basic results We consider integrals of the form with real and imaginary parts I f () = f(t)e it dt, C f () = f(t) cos t dt, S f () = f(t) sin t

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

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

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

Experimental mathematics and integration

Experimental mathematics and integration Experimental mathematics and integration David H. Bailey http://www.davidhbailey.com Lawrence Berkeley National Laboratory (retired) Computer Science Department, University of California, Davis October

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

A Rational Approximation for Efficient Computation of the Voigt Function in Quantitative Spectroscopy

A Rational Approximation for Efficient Computation of the Voigt Function in Quantitative Spectroscopy Journal of Mathematics Research; Vol. 7, No. ; 015 ISSN 1916-9795 E-ISSN 1916-9809 Published by Canadian Center of Science and Education A Rational Approximation for Efficient Computation of the Voigt

More information

2016 FAMAT Convention Mu Integration 1 = 80 0 = 80. dx 1 + x 2 = arctan x] k2

2016 FAMAT Convention Mu Integration 1 = 80 0 = 80. dx 1 + x 2 = arctan x] k2 6 FAMAT Convention Mu Integration. A. 3 3 7 6 6 3 ] 3 6 6 3. B. For quadratic functions, Simpson s Rule is eact. Thus, 3. D.. B. lim 5 3 + ) 3 + ] 5 8 8 cot θ) dθ csc θ ) dθ cot θ θ + C n k n + k n lim

More information

MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li

MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li MATH 1010E University Mathematics Lecture Notes (week 8) Martin Li 1 L Hospital s Rule Another useful application of mean value theorems is L Hospital s Rule. It helps us to evaluate its of indeterminate

More information

THE DISTANCE BETWEEN TWO RANDOM POINTS IN A 4- AND 5-CUBE.

THE DISTANCE BETWEEN TWO RANDOM POINTS IN A 4- AND 5-CUBE. THE DISTANCE BETWEEN TWO RANDOM POINTS IN A 4- AND 5-CUBE. JOHAN PHILIP Abstract. We determine exact expressions for the probability distribution and the average of the distance between two random points

More information

SOLVING EQUATIONS OF ONE VARIABLE

SOLVING EQUATIONS OF ONE VARIABLE 1 SOLVING EQUATIONS OF ONE VARIABLE ELM1222 Numerical Analysis Some of the contents are adopted from Laurene V. Fausett, Applied Numerical Analysis using MATLAB. Prentice Hall Inc., 1999 2 Today s lecture

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

The stationary points will be the solutions of quadratic equation x

The stationary points will be the solutions of quadratic equation x Calculus 1 171 Review In Problems (1) (4) consider the function f ( ) ( ) e. 1. Find the critical (stationary) points; establish their character (relative minimum, relative maimum, or neither); find intervals

More information

1 5 π 2. 5 π 3. 5 π π x. 5 π 4. Figure 1: We need calculus to find the area of the shaded region.

1 5 π 2. 5 π 3. 5 π π x. 5 π 4. Figure 1: We need calculus to find the area of the shaded region. . Area In order to quantify the size of a 2-dimensional object, we use area. Since we measure area in square units, we can think of the area of an object as the number of such squares it fills up. Using

More information

Limits and Their Properties

Limits and Their Properties Chapter 1 Limits and Their Properties Course Number Section 1.1 A Preview of Calculus Objective: In this lesson you learned how calculus compares with precalculus. I. What is Calculus? (Pages 42 44) Calculus

More information

Math Exam 1a. c) lim tan( 3x. 2) Calculate the derivatives of the following. DON'T SIMPLIFY! d) s = t t 3t

Math Exam 1a. c) lim tan( 3x. 2) Calculate the derivatives of the following. DON'T SIMPLIFY! d) s = t t 3t Math 111 - Eam 1a 1) Evaluate the following limits: 7 3 1 4 36 a) lim b) lim 5 1 3 6 + 4 c) lim tan( 3 ) + d) lim ( ) 100 1+ h 1 h 0 h ) Calculate the derivatives of the following. DON'T SIMPLIFY! a) y

More information

THE CONVEX HULL OF THE PRIME NUMBER GRAPH

THE CONVEX HULL OF THE PRIME NUMBER GRAPH THE CONVEX HULL OF THE PRIME NUMBER GRAPH NATHAN MCNEW Abstract Let p n denote the n-th prime number, and consider the prime number graph, the collection of points n, p n in the plane Pomerance uses the

More information

Serie slowly convergent

Serie slowly convergent Serie slowly convergent Edgar Valdebenito We exhibit a serie slowly convergent for pi: abstract π = 3.459265358979... = 0.383098868379... π I. Serie de convergencia lenta π = (-) n 3 (/2) n 32 2 n 2 +

More information

y sin n x dx cos x sin n 1 x n 1 y sin n 2 x cos 2 x dx y sin n xdx cos x sin n 1 x n 1 y sin n 2 x dx n 1 y sin n x dx

y sin n x dx cos x sin n 1 x n 1 y sin n 2 x cos 2 x dx y sin n xdx cos x sin n 1 x n 1 y sin n 2 x dx n 1 y sin n x dx SECTION 7. INTEGRATION BY PARTS 57 EXAPLE 6 Prove the reduction formula N Equation 7 is called a reduction formula because the eponent n has been reduced to n and n. 7 sin n n cos sinn n n sin n where

More information

Multidimensional partitions of unity and Gaussian terrains

Multidimensional partitions of unity and Gaussian terrains and Gaussian terrains Richard A. Bale, Jeff P. Grossman, Gary F. Margrave, and Michael P. Lamoureu ABSTRACT Partitions of unity play an important rôle as amplitude-preserving windows for nonstationary

More information

Numerical Methods. Root Finding

Numerical Methods. Root Finding Numerical Methods Solving Non Linear 1-Dimensional Equations Root Finding Given a real valued function f of one variable (say ), the idea is to find an such that: f() 0 1 Root Finding Eamples Find real

More information

arxiv: v1 [math.co] 24 Jan 2017

arxiv: v1 [math.co] 24 Jan 2017 CHARACTERIZING THE NUMBER OF COLOURED m ARY PARTITIONS MODULO m, WITH AND WITHOUT GAPS I. P. GOULDEN AND PAVEL SHULDINER arxiv:1701.07077v1 [math.co] 24 Jan 2017 Abstract. In a pair of recent papers, Andrews,

More information

University of Alberta ENGM 541: Modeling and Simulation of Engineering Systems Laboratory #5

University of Alberta ENGM 541: Modeling and Simulation of Engineering Systems Laboratory #5 University of Alberta ENGM 54: Modeling and Simulation of Engineering Systems Laboratory #5 M.G. Lipsett, Updated 00 Integration Methods with Higher-Order Truncation Errors with MATLAB MATLAB is capable

More information

MATH 101 Midterm Examination Spring 2009

MATH 101 Midterm Examination Spring 2009 MATH Midterm Eamination Spring 9 Date: May 5, 9 Time: 7 minutes Surname: (Please, print!) Given name(s): Signature: Instructions. This is a closed book eam: No books, no notes, no calculators are allowed!.

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

MATHEMATICS FOR ENGINEERING

MATHEMATICS FOR ENGINEERING MATHEMATICS FOR ENGINEERING INTEGRATION TUTORIAL FURTHER INTEGRATION This tutorial is essential pre-requisite material for anyone studying mechanical engineering. This tutorial uses the principle of learning

More information

VII. Techniques of Integration

VII. Techniques of Integration VII. Techniques of Integration Integration, unlike differentiation, is more of an art-form than a collection of algorithms. Many problems in applied mathematics involve the integration of functions given

More information

The Value of the Zeta Function at an Odd Argument

The Value of the Zeta Function at an Odd Argument International Journal of Mathematics and Computer Science, 4(009), no., 0 The Value of the Zeta Function at an Odd Argument M CS Badih Ghusayni Department of Mathematics Faculty of Science- Lebanese University

More information

SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS

SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS STRUCTURE OF EXAMINATION PAPER. There will be one -hour paper consisting of 4 questions..

More information

- 2 ' a 2 =- + _ y'2 + _ 21/4. a 3 =! +! y'2 +! 21/4 +!. / (!:_ +! y'2) 21/ Y 2 2 c!+!v'2+!21/4). lc!+!v'2) 21/4.

- 2 ' a 2 =- + _ y'2 + _ 21/4. a 3 =! +! y'2 +! 21/4 +!. / (!:_ +! y'2) 21/ Y 2 2 c!+!v'2+!21/4). lc!+!v'2) 21/4. ....................................... ~. The Arithmetic Geometric Mean The arithmetic mean of two numbers a and b is defined as the "average" of the numbers, namely, aib while the geometric mean is given

More information

UNIT 3. Recall From Unit 2 Rational Functions

UNIT 3. Recall From Unit 2 Rational Functions UNIT 3 Recall From Unit Rational Functions f() is a rational function if where p() and q() are and. Rational functions often approach for values of. Rational Functions are not graphs There various types

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

Section 7.4 #1, 5, 6, 8, 12, 13, 44, 53; Section 7.5 #7, 10, 11, 20, 22; Section 7.7 #1, 4, 10, 15, 22, 44

Section 7.4 #1, 5, 6, 8, 12, 13, 44, 53; Section 7.5 #7, 10, 11, 20, 22; Section 7.7 #1, 4, 10, 15, 22, 44 Math B Prof. Audrey Terras HW #4 Solutions Due Tuesday, Oct. 9 Section 7.4 #, 5, 6, 8,, 3, 44, 53; Section 7.5 #7,,,, ; Section 7.7 #, 4,, 5,, 44 7.4. Since 5 = 5 )5 + ), start with So, 5 = A 5 + B 5 +.

More information

Limits and the derivative function. Limits and the derivative function

Limits and the derivative function. Limits and the derivative function The Velocity Problem A particle is moving in a straight line. t is the time that has passed from the start of motion (which corresponds to t = 0) s(t) is the distance from the particle to the initial position

More information

Further factorising, simplifying, completing the square and algebraic proof

Further factorising, simplifying, completing the square and algebraic proof Further factorising, simplifying, completing the square and algebraic proof 8 CHAPTER 8. Further factorising Quadratic epressions of the form b c were factorised in Section 8. by finding two numbers whose

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

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS TUTORIAL 2 - INTEGRATION

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS TUTORIAL 2 - INTEGRATION EDEXCEL NATIONAL CERTIFICATE UNIT 8 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME - CALCULUS TUTORIAL - INTEGRATION CONTENTS Be able to apply calculus Differentiation: review of standard derivatives, differentiation

More information

6.6 General Form of the Equation for a Linear Relation

6.6 General Form of the Equation for a Linear Relation 6.6 General Form of the Equation for a Linear Relation FOCUS Relate the graph of a line to its equation in general form. We can write an equation in different forms. y 0 6 5 y 10 = 0 An equation for this

More information

2413 Exam 3 Review. 14t 2 Ë. dt. t 6 1 dt. 3z 2 12z 9 z 4 8 Ë. n 7 4,4. Short Answer. 1. Find the indefinite integral 9t 2 ˆ

2413 Exam 3 Review. 14t 2 Ë. dt. t 6 1 dt. 3z 2 12z 9 z 4 8 Ë. n 7 4,4. Short Answer. 1. Find the indefinite integral 9t 2 ˆ 3 Eam 3 Review Short Answer. Find the indefinite integral 9t ˆ t dt.. Find the indefinite integral of the following function and check the result by differentiation. 6t 5 t 6 dt 3. Find the indefinite

More information

211 Real Analysis. f (x) = x2 1. x 1. x 2 1

211 Real Analysis. f (x) = x2 1. x 1. x 2 1 Part. Limits of functions. Introduction 2 Real Analysis Eample. What happens to f : R \ {} R, given by f () = 2,, as gets close to? If we substitute = we get f () = 0 which is undefined. Instead we 0 might

More information

arxiv:math-ph/ v1 10 Jan 2005

arxiv:math-ph/ v1 10 Jan 2005 Asymptotic and eact series representations for the incomplete Gamma function arxiv:math-ph/5119v1 1 Jan 5 Paolo Amore Facultad de Ciencias, Universidad de Colima, Bernal Díaz del Castillo 34, Colima, Colima,

More information

Fitting Integrands to Basic Rules

Fitting Integrands to Basic Rules 6_8.qd // : PM Page 8 8 CHAPTER 8 Integration Techniques, L Hôpital s Rule, and Improper Integrals Section 8. Basic Integration Rules Review proceres for fitting an integrand to one of the basic integration

More information

Numerical evaluation of Bessel function integrals for functions with exponential dependence

Numerical evaluation of Bessel function integrals for functions with exponential dependence EDUCATION Revista Meicana de Física E 59 (23) 5 2 JULY DECEMBER 23 Numerical evaluation of Bessel function integrals for functions with eponential dependence J. L. Luna a, H. H. Corzo a,b, and R. P. Sagar

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

APPLICATIONS OF DIFFERENTIATION

APPLICATIONS OF DIFFERENTIATION 4 APPLICATIONS OF DIFFERENTIATION APPLICATIONS OF DIFFERENTIATION 4.4 Indeterminate Forms and L Hospital s Rule In this section, we will learn: How to evaluate functions whose values cannot be found at

More information

Order of convergence. MA3232 Numerical Analysis Week 3 Jack Carl Kiefer ( ) Question: How fast does x n

Order of convergence. MA3232 Numerical Analysis Week 3 Jack Carl Kiefer ( ) Question: How fast does x n Week 3 Jack Carl Kiefer (94-98) Jack Kiefer was an American statistician. Much of his research was on the optimal design of eperiments. However, he also made significant contributions to other areas of

More information

171, Calculus 1. Summer 1, CRN 50248, Section 001. Time: MTWR, 6:30 p.m. 8:30 p.m. Room: BR-43. CRN 50248, Section 002

171, Calculus 1. Summer 1, CRN 50248, Section 001. Time: MTWR, 6:30 p.m. 8:30 p.m. Room: BR-43. CRN 50248, Section 002 171, Calculus 1 Summer 1, 018 CRN 5048, Section 001 Time: MTWR, 6:0 p.m. 8:0 p.m. Room: BR-4 CRN 5048, Section 00 Time: MTWR, 11:0 a.m. 1:0 p.m. Room: BR-4 CONTENTS Syllabus Reviews for tests 1 Review

More information

The answers below are not comprehensive and are meant to indicate the correct way to solve the problem. sin

The answers below are not comprehensive and are meant to indicate the correct way to solve the problem. sin Math : Practice Final Answer Key Name: The answers below are not comprehensive and are meant to indicate the correct way to solve the problem. Problem : Consider the definite integral I = 5 sin ( ) d.

More information

On the counting function for the generalized Niven numbers

On the counting function for the generalized Niven numbers On the counting function for the generalized Niven numbers Ryan Daileda, Jessica Jou, Robert Lemke-Oliver, Elizabeth Rossolimo, Enrique Treviño Abstract Given an integer base q 2 and a completely q-additive

More information

The Fundamental Theorem of Calculus Part 3

The Fundamental Theorem of Calculus Part 3 The Fundamental Theorem of Calculus Part FTC Part Worksheet 5: Basic Rules, Initial Value Problems, Rewriting Integrands A. It s time to find anti-derivatives algebraically. Instead of saying the anti-derivative

More information

Comparison of Optimal Homotopy Asymptotic Method with Homotopy Perturbation Method of Twelfth Order Boundary Value Problems

Comparison of Optimal Homotopy Asymptotic Method with Homotopy Perturbation Method of Twelfth Order Boundary Value Problems Abstract Comparison of Optimal Homotopy Asymptotic Method with Homotopy Perturbation Method of Twelfth Order Boundary Value Problems MukeshGrover grover.mukesh@yahoo.com Department of Mathematics G.Z.S.C.E.T

More information

Lecture 4b. Bessel functions. Introduction. Generalized factorial function. 4b.1. Using integration by parts it is easy to show that

Lecture 4b. Bessel functions. Introduction. Generalized factorial function. 4b.1. Using integration by parts it is easy to show that 4b. Lecture 4b Using integration by parts it is easy to show that Bessel functions Introduction In the previous lecture the separation of variables method led to Bessel's equation y' ' y ' 2 y= () 2 Here

More information

MA2501 Numerical Methods Spring 2015

MA2501 Numerical Methods Spring 2015 Norwegian University of Science and Technology Department of Mathematics MA5 Numerical Methods Spring 5 Solutions to exercise set 9 Find approximate values of the following integrals using the adaptive

More information

A rational approximation for efficient computation of the Voigt function in quantitative spectroscopy

A rational approximation for efficient computation of the Voigt function in quantitative spectroscopy arxiv:1504.003v1 [physics.data-an] 7 Mar 015 A rational approximation for efficient computation of the Voigt function in quantitative spectroscopy S. M. Abrarov and B. M. Quine March, 7 015 Abstract We

More information

Properties of a Configuration of Repeatedly Reflected Points over Reflection-Determined Lines

Properties of a Configuration of Repeatedly Reflected Points over Reflection-Determined Lines Properties of a Configuration of Repeatedly Reflected Points over Reflection-Determined Lines Matthew J Cox January 15, 2017 Abstract We explore a certain configuration of reflections of points over lines

More information

APPM 1360 Final Exam Spring 2016

APPM 1360 Final Exam Spring 2016 APPM 36 Final Eam Spring 6. 8 points) State whether each of the following quantities converge or diverge. Eplain your reasoning. a) The sequence a, a, a 3,... where a n ln8n) lnn + ) n!) b) ln d c) arctan

More information