New Approximations to the Mathematical Constant e

Size: px
Start display at page:

Download "New Approximations to the Mathematical Constant e"

Transcription

1 Joural of Mathematics Research September, 009 New Approximatios to the Mathematical Costat e Sajay Kumar Khattri Correspodig author) Stord Haugesud Uiversity College Bjørsosgate 45 PO box 558, Haugesud, Norway Tel: sajay.khattri@hsh.o Abstract Based o the Newto-Cotes ad Gaussia quadrature rules, we develop several ew closed form approximatios to the mathematical costat e. For validatig effectiveess of our approximatios, a compariso of our results to the existig approximatios is also preseted. Because of the level of mathematics, the preseted work is easily embraceable i a udergraduate class. Aother aim of this work is to ecourage studets for formulatig other better approximatios by usig the suggested strategy. Keywords: Mathematical costat, Closed form approximatio, Quadrature. Itroductio The umber e is oe of the most fudametal umbers i mathematics. This umber is also referred to as Euler s umber or Napier s costat. I this work, we develop several ew closed form approximatios to the mathematical costat e through quadrature rules. Classically the umber e is defied as = lim + ) ) Let us call this defiitio the Euler s e Ee). First year udergraduate studets are exposed to cocepts of limits ad quadrature. By usig these cocepts, we are further refiig the limit ). Based o this work, teacher ca ask studets to formulate eve better approximatios to the mathematical costat e. Figure presets a graph of the fuctio /x. The area uder the graph ad betwee the vertical lies x = ad x = + is give as + x dx For formig various closed form approximatios to e, we use quadrature rule for approximatig the itegral. The exact value of this itegral is l + ).. Approximatio through trapezoidal quadrature rule The Trapezoidal quadrature rule is give as + x dx = h [ f x ) + f x ) ] 3

2 Vol., No. ISSN: Here, h =, x = ad x = +. Thus, Thiitio of e through the trapezoidal rule is give as [l x] + = [ + ] + ) + l = + + = [ ] ) + l = ) l = l e ) e = ) = lim ) Let us call this defiitio, the Trapezoidal Euler s e TEE). 3. Approximatio through Simpso s quadrature rule The Simpso s 3 quadrature rule for approximatig itegral is give as Here, h =, x 0 =, x = + ad x = x dx = h 3 x dx = ) + l = ) + 5 l + ) = + + [ ] l + ) = l e e = + [ ) [ f x0 ) + 4 f x ) + f x ) ] [ ] ) Thiitio of e through the Simpso s quadrature rule is = lim + [ ) ) Let us call this defiitio, the 3 Simpso Euler s e 3 SEE) 4

3 Joural of Mathematics Research September, Approximatio through Simpso s 3 8 quadrature rule Approximatio of the itegral through Simpso s 3 8 quadrature rule is + x dx = 3 h 8 Here, h = 3, x 0 =, x = 3+ 3, x = 3+ 3 ad x 3 = + + x dx = l + ) = [ + [ [ f x0 ) + 3 f x ) + 3 f x ) + f x 3 ) ] ] ) ) l + ) [+ e = + ) [+ l + ) = = l e Thiitio of e through the Simpso s 3 8 quadrature rule is = lim + ) 8 [ ) Let us call this defiitio, the 3 8 Simpso Euler s e 3 8 SEE). 5. Approximatig e through Boole s quadrature rule The Boole s quadrature rule is give as follows + x dx = h 45 Here, h = 4, x 0 =, x = 4+ 4, x = 4+ 4, x 3 = ad x 4 = + l + ) = 4 45 = [ 7 f x0 ) + 3 f x ) + f x ) + 3 f x 3 ) + 7 f x 4 ) ] + [ ] [ l + ) [+ e = + ) [+ l ) + ) = = l e 5

4 Vol., No. ISSN: Thiitio of e through the Boole s quadrature rule is = lim + ) 480 [ ) Let us call this defiitio, the Boole Euler s e BEE).. Approximatig e through Gauss-Legedre poit quadrature The two poit Gauss-Legedre Quadrature is give as + x dx = k [ w f x ) + w f x ) ] Here, k = + =, x = ad x 3 = + 3. Weights are w = ad w = l l + x dx = 3 + ) ) 3 + ) + 3 = l + ) = ) e = e = = l e + ) ) 3+ [+ +3 Thiitio of e through the two poit Gauss-Legedre quadrature rule is = lim + ) 3+ [+ +3 ) Let us call this defiitio, the two poit Gauss-Legedre Euler s e P-GLEE). 7. Approximatig e through Gauss-Legedre 3 poit quadrature Three poit Gauss-Legedre quadrature rule is give as + The weights w i ad poits x i are give as x dx = k [ w f x ) + w f x ) + w 3 f x 3 ) ] w = 8 9 w = 5 9 w 3 = 5 9 x = + x = + ) x 3 = + )

5 Joural of Mathematics Research September, 009 Thus, l + ) = ) ) ) l + ) [ 0 ] ) = = l + ) = l + ) [ = l e e = ] + ) [ Thiitio of e through the three poit Gauss-Legedre quadrature rule is = lim + ] ) [ ) Let us call this defiitio, the three poit Gauss-Legedre Euler s e 3P-GLEE). The Eglish meaig of the word GLEE is brightess. Through umerical work, we will see that it is ideed a very bright approximatio to the fudametal costat e. For = 00, the 3P-GLEE gives us , ad which is e accurate to fiftee decimal places. If we replace by as doe by Kox 999) ad Brothers 998) i their approximatio formulae, the 3P-GLEE gives exact e for = Approximatig e through Gauss-Legedre 4 poit quadrature The four poit Gauss-Legedre quadrature rule is give as + x dx = k [ w f x ) + w f x ) + w 3 f x 3 ) + w 4 f x 4 ) ] Here, k =. Weights w i ad poits x i are give as w = w = w 3 = w 4 = ) x = 7 + ) 7 3 x = 7 + ) x 3 = 7 + ) 7 3 x 4 = 7 5 ) 5 ) 5 ) 5 ) 7

6 Vol., No. ISSN: Thus, Thus, l + ) = = = [ ] l + ) = l + ) = l e Thiitio of e through the four poit Gauss-Legedre quadrature rule is = lim + ] ) [ ) Let us call this defiitio, the four poit Gauss-Legedre Euler s e 4P-GLEE). For = 00, the 4P-GLEE gives us ad which is e accurate to twety oe decimal places. If we replace by as doe by Kox 999) ad Brothers 998) i their approximatio formulae, the 4P-GLEE gives exact e for = Approximatig e through Gauss-Legedre 5 poit quadrature The five poit Gauss-Legedre quadrature rule is give as: + Here, k =. Weights w i ad poits x i are give as x dx = k [ w f x ) + w f x ) + w 3 f x 3 ) + w 4 f x 4 ) + w 5 f x 5 ) ] w = 8 5 w = w 3 = w 4 = w 5 = x = + 70 x = x3 = x4 = x5 = l + ) = = [ ] =

7 Joural of Mathematics Research September, 009 Thus, [ ] l + ) = l e l + ) = l e Thiitio of e through the five poit Gauss-Legedre quadrature rule is ] = lim + ) [ ) Let us call this defiitio, the five poit Gauss-Legedre Euler s e 5P-GLEE). For = 00, the 5P-GLEE gives us , ad which is e accurate to twety five decimal places. O the other had, the classical defiitio ) gives e accurate oly to two decimal places. Approximatio by various GLEE formulae ad Euler s e Ee) equatio??) for = 00. 4P-GLEE { }} { e = }{{} Ee } {{ } 3P-GLEE } {{ } 5P-GLEE If we replace by as doe by Kox 999) ad Brothers 998), the 5P-GLEE gives exact e for =. After itroducig studets to the stadard defiitio of the umber e give by equatio ). Whe we preseted our ew defiitios ad their derivatios i the class, the studets has show cosiderable iterest. Studets fid it very appealig that simple techiques gives us the closed form approximatio which improves accuracy from two digits to twety five digits. 0. Numerical Work For performig computatios to high accuracy, we are usig the C ++ library ARPREC D. H. Bailey, 00). Let us ow briefly metio existig relatios for represetig mathematical costat e. Kox 999) ad Brothers 998) have also developed some very ice closed form approximatios to the mathematical costat e. The Table ) displays closed form formulae developed i Kox 999) ad Brothers 998). Reader ca observe that the formulae B, B, B3, B4, B5, B ad B7 are ot defied for =. O the other had, formulae ), 3), 4), 5), ), 7), 8) ad 9) aried for =. Let us ow compare our formulae with the formulae preseted i the Table. For = 00, Table presets error i approximatig e through differet closed form approximatios. Here, error is equal to the exact value of the mathematical costat e mius the value give by differet approximatios. From the Table, it ca be iferred that the approximatios developed by us are more accurate. It is also obvious that our formulae are computatioally efficiet. For example, i the Table the formula B7 gives most accurate approximatio. The reader ca see that for evaluatig B7, we eed to evaluate B ad B5. Ad, for computig B, we eed to compute B3 ad B4. Ad for computig B4, we eed to compute ACM ad B. Ad so o. I the differet defiitios of the costat e through formulae ), 3), 4), 5), ), 7), 8) ad 9). It ca be see that for large values of, all of these formulae behaves as: + ) ) Let us call this defiitio, the Gauss e GE). The reader ca observe that the GE is modestly differet tha the classical defiitio ). To see why this defiitio of e is more accurate tha the classical defiitio of e. Let us compute e from these two defiitios for = 000. From the classical defiitio, we get e =, Which is accurate oly till 3 decimal places. While from GE we get e =, Ad, which is e accurate till decimal places. It is ideed a substatial improvemet over classical result. We are just chagig the classical defiitio slightly. Let us ow observe a iterestig coectio betwee the formula MIM see Table ) ad our formulae GE 0). For = 000, MIM gives e =, While from GE we get e =, Both of these values are accurate till decimal places. Thus, both of these formulae are givig same order of accuracy. This lead us to believe that they must be the same formulae. The readers are ecouraged to see it for themselves. Replacig by 0.5) i GE 0), we 9

8 Vol., No. ISSN: get MIM. These formulae are derived from differet methods. The MIM is derived i Kox 999) ad Brothers 998) by ifiite series expasio. While, we obtaied GE 0) from quadrature rules.. Coclusios We have developed several closed form approximatios to the mathematical costat e. Numerical compariso study validate the effectiveess of our results over the existig closed form approximatios. The other mai aim of this work is to ecourage udergraduate studets for developig ew approximatios. The strategy preseted i this paper is easily adoptable i a udergraduate class. Based o the work preseted i this paper, teachers ca ask studets to further develop ew approximatios by usig various other quadratures. Through our teachig experiece we foud our work is ecouragig studets to formulate eve better approximatios to the costat e. Refereces C. L. Wag. 989). Simple Iequalities Ad Old Limits. America Mathematical Mothly. Vol. 94), April. C. W. Bares. 984). Euler s costat ad e. America Mathematical Mothly. Vol. 97). D. H. Bailey, Y. Hida, X. S. Li ad B. Thompso. 00). ARPREC: A Arbitrary Precisio Computatio Package. LBNL-535. Sept. E. Maor. 994). e: The Story of a Number. Priceto Uiversity Press.. H. J. Brothers ad J. A. Kox. 998). New closed-form approximatios to the logarithmic costat e. Mathematical Itelligecer. 04). H. Yag ad H. Yag. 00). The Arithmetic-Geometric Mea Iequality ad the Costat e. Mathematics Magazie. Vol. 744) October. J. A. Kox ad H. J. Brothers. 999). Novel series based approximatios to e. The College Mathematics Joural, Vol. 30 4), September. R. Johsobaugh. 98). The Trapezoid Rule, Stirlig s Formula ad Euler s costat. America Mathematical Mothly. Vol. 889), Nov. 98. T. N. T. Goodma. 98). Maximum products ad lim + ) = e. America Mathematical Mothly. Vol. 939), October

9 Joural of Mathematics Research September, 009 Table. Differet closed form approximatios to the umber e from Kox 999) ad Brothers 998). Formulae + ) + ) + ) Name ACM MIM + ) ) 5 ) ACMMIM + ) + ) ) B ) B ) ) 8 7 B) MIM) B5 7 + ) + + ) ) B3 ) ACM) + 5 B) B4 0 7 B3) 3 B4) B B) B5) B Table. Error exact-formulae) by differet closed form approximatios for = 00. Formulae Error Formulae Error ACM 5, P-GLEE, MIM 9, P-GLEE 9,4 0 ACMMIM, P-GLEE 5,93 0 B 3, P-GLEE 3,70 0 B7,

10 Vol., No. ISSN: Figure. Graph of f x) = x. The shaded area is equal to l + ).

NEW CLOSE FORM APPROXIMATIONS OF ln(1 + x) Sanjay Kumar Khattri. 1. Introduction

NEW CLOSE FORM APPROXIMATIONS OF ln(1 + x) Sanjay Kumar Khattri. 1. Introduction THE TEACHING OF MATHEMATICS 009 Vol XII pp 7 4 NEW CLOSE FORM APPROXIMATIONS OF l + x) Sajay Kumar Khattri Abstract Based o Newto-Cotes ad Gaussia quadrature rules we develop several closed form approximatios

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

1 6 = 1 6 = + Factorials and Euler s Gamma function

1 6 = 1 6 = + Factorials and Euler s Gamma function Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Discrete Orthogonal Moment Features Using Chebyshev Polynomials

Discrete Orthogonal Moment Features Using Chebyshev Polynomials Discrete Orthogoal Momet Features Usig Chebyshev Polyomials R. Mukuda, 1 S.H.Og ad P.A. Lee 3 1 Faculty of Iformatio Sciece ad Techology, Multimedia Uiversity 75450 Malacca, Malaysia. Istitute of Mathematical

More information

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

Sequences of Definite Integrals, Factorials and Double Factorials

Sequences of Definite Integrals, Factorials and Double Factorials 47 6 Joural of Iteger Sequeces, Vol. 8 (5), Article 5.4.6 Sequeces of Defiite Itegrals, Factorials ad Double Factorials Thierry Daa-Picard Departmet of Applied Mathematics Jerusalem College of Techology

More information

Math 113, Calculus II Winter 2007 Final Exam Solutions

Math 113, Calculus II Winter 2007 Final Exam Solutions Math, Calculus II Witer 7 Fial Exam Solutios (5 poits) Use the limit defiitio of the defiite itegral ad the sum formulas to compute x x + dx The check your aswer usig the Evaluatio Theorem Solutio: I this

More information

1 Approximating Integrals using Taylor Polynomials

1 Approximating Integrals using Taylor Polynomials Seughee Ye Ma 8: Week 7 Nov Week 7 Summary This week, we will lear how we ca approximate itegrals usig Taylor series ad umerical methods. Topics Page Approximatig Itegrals usig Taylor Polyomials. Defiitios................................................

More information

4.1 Sigma Notation and Riemann Sums

4.1 Sigma Notation and Riemann Sums 0 the itegral. Sigma Notatio ad Riema Sums Oe strategy for calculatig the area of a regio is to cut the regio ito simple shapes, calculate the area of each simple shape, ad the add these smaller areas

More information

18.440, March 9, Stirling s formula

18.440, March 9, Stirling s formula Stirlig s formula 8.44, March 9, 9 The factorial fuctio! is importat i evaluatig biomial, hypergeometric, ad other probabilities. If is ot too large,! ca be computed directly, by calculators or computers.

More information

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim

f(x) dx as we do. 2x dx x also diverges. Solution: We compute 2x dx lim Math 3, Sectio 2. (25 poits) Why we defie f(x) dx as we do. (a) Show that the improper itegral diverges. Hece the improper itegral x 2 + x 2 + b also diverges. Solutio: We compute x 2 + = lim b x 2 + =

More information

Removing magic from the normal distribution and the Stirling and Wallis formulas.

Removing magic from the normal distribution and the Stirling and Wallis formulas. Removig magic from the ormal distributio ad the Stirlig ad Wallis formulas. Mikhail Kovalyov, email: mkovalyo@ualberta.ca Published i Mathematical Itelligecer, 0, Volume 33, Number 4. The Wallis formula

More information

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT

TR/46 OCTOBER THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION A. TALBOT TR/46 OCTOBER 974 THE ZEROS OF PARTIAL SUMS OF A MACLAURIN EXPANSION by A. TALBOT .. Itroductio. A problem i approximatio theory o which I have recetly worked [] required for its solutio a proof that the

More information

On the Derivation and Implementation of a Four Stage Harmonic Explicit Runge-Kutta Method *

On the Derivation and Implementation of a Four Stage Harmonic Explicit Runge-Kutta Method * Applied Mathematics, 05, 6, 694-699 Published Olie April 05 i SciRes. http://www.scirp.org/joural/am http://dx.doi.org/0.46/am.05.64064 O the Derivatio ad Implemetatio of a Four Stage Harmoic Explicit

More information

Proof of Goldbach s Conjecture. Reza Javaherdashti

Proof of Goldbach s Conjecture. Reza Javaherdashti Proof of Goldbach s Cojecture Reza Javaherdashti farzijavaherdashti@gmail.com Abstract After certai subsets of Natural umbers called Rage ad Row are defied, we assume (1) there is a fuctio that ca produce

More information

ENGI Series Page 6-01

ENGI Series Page 6-01 ENGI 3425 6 Series Page 6-01 6. Series Cotets: 6.01 Sequeces; geeral term, limits, covergece 6.02 Series; summatio otatio, covergece, divergece test 6.03 Stadard Series; telescopig series, geometric series,

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES 11 INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES 11.4 The Compariso Tests I this sectio, we will lear: How to fid the value of a series by comparig it with a kow series. COMPARISON TESTS

More information

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series Applied Mathematical Scieces, Vol. 7, 03, o. 6, 3-337 HIKARI Ltd, www.m-hikari.com http://d.doi.org/0.988/ams.03.3430 Compariso Study of Series Approimatio ad Covergece betwee Chebyshev ad Legedre Series

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations

Section 1.1. Calculus: Areas And Tangents. Difference Equations to Differential Equations Differece Equatios to Differetial Equatios Sectio. Calculus: Areas Ad Tagets The study of calculus begis with questios about chage. What happes to the velocity of a swigig pedulum as its positio chages?

More information

Sigma notation. 2.1 Introduction

Sigma notation. 2.1 Introduction Sigma otatio. Itroductio We use sigma otatio to idicate the summatio process whe we have several (or ifiitely may) terms to add up. You may have see sigma otatio i earlier courses. It is used to idicate

More information

MAT1026 Calculus II Basic Convergence Tests for Series

MAT1026 Calculus II Basic Convergence Tests for Series MAT026 Calculus II Basic Covergece Tests for Series Egi MERMUT 202.03.08 Dokuz Eylül Uiversity Faculty of Sciece Departmet of Mathematics İzmir/TURKEY Cotets Mootoe Covergece Theorem 2 2 Series of Real

More information

Some New Iterative Methods for Solving Nonlinear Equations

Some New Iterative Methods for Solving Nonlinear Equations World Applied Scieces Joural 0 (6): 870-874, 01 ISSN 1818-495 IDOSI Publicatios, 01 DOI: 10.589/idosi.wasj.01.0.06.830 Some New Iterative Methods for Solvig Noliear Equatios Muhammad Aslam Noor, Khalida

More information

Using An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically

Using An Accelerating Method With The Trapezoidal And Mid-Point Rules To Evaluate The Double Integrals With Continuous Integrands Numerically ISSN -50 (Paper) ISSN 5-05 (Olie) Vol.7, No., 017 Usig A Acceleratig Method With The Trapezoidal Ad Mid-Poit Rules To Evaluate The Double Itegrals With Cotiuous Itegrads Numerically Azal Taha Abdul Wahab

More information

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled 1 Lecture : Area Area ad distace traveled Approximatig area by rectagles Summatio The area uder a parabola 1.1 Area ad distace Suppose we have the followig iformatio about the velocity of a particle, how

More information

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations

Higher-order iterative methods by using Householder's method for solving certain nonlinear equations Math Sci Lett, No, 7- ( 7 Mathematical Sciece Letters A Iteratioal Joural http://dxdoiorg/785/msl/5 Higher-order iterative methods by usig Householder's method for solvig certai oliear equatios Waseem

More information

A New Method to Order Functions by Asymptotic Growth Rates Charlie Obimbo Dept. of Computing and Information Science University of Guelph

A New Method to Order Functions by Asymptotic Growth Rates Charlie Obimbo Dept. of Computing and Information Science University of Guelph A New Method to Order Fuctios by Asymptotic Growth Rates Charlie Obimbo Dept. of Computig ad Iformatio Sciece Uiversity of Guelph ABSTRACT A ew method is described to determie the complexity classes of

More information

The Riemann Zeta Function

The Riemann Zeta Function Physics 6A Witer 6 The Riema Zeta Fuctio I this ote, I will sketch some of the mai properties of the Riema zeta fuctio, ζ(x). For x >, we defie ζ(x) =, x >. () x = For x, this sum diverges. However, we

More information

About the use of a result of Professor Alexandru Lupaş to obtain some properties in the theory of the number e 1

About the use of a result of Professor Alexandru Lupaş to obtain some properties in the theory of the number e 1 Geeral Mathematics Vol. 5, No. 2007), 75 80 About the use of a result of Professor Alexadru Lupaş to obtai some properties i the theory of the umber e Adrei Verescu Dedicated to Professor Alexadru Lupaş

More information

DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES

DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES Icreasig ad Decreasig Auities ad Time Reversal by Jim Farmer Jim.Farmer@mq.edu.au Research Paper No. 2000/02 November 2000 Divisio of Ecoomic ad Fiacial

More information

Series III. Chapter Alternating Series

Series III. Chapter Alternating Series Chapter 9 Series III With the exceptio of the Null Sequece Test, all the tests for series covergece ad divergece that we have cosidered so far have dealt oly with series of oegative terms. Series with

More information

ACCELERATING CONVERGENCE OF SERIES

ACCELERATING CONVERGENCE OF SERIES ACCELERATIG COVERGECE OF SERIES KEITH CORAD. Itroductio A ifiite series is the limit of its partial sums. However, it may take a large umber of terms to get eve a few correct digits for the series from

More information

Bangi 43600, Selangor Darul Ehsan, Malaysia (Received 12 February 2010, accepted 21 April 2010)

Bangi 43600, Selangor Darul Ehsan, Malaysia (Received 12 February 2010, accepted 21 April 2010) O Cesáro Meas of Order μ for Outer Fuctios ISSN 1749-3889 (prit), 1749-3897 (olie) Iteratioal Joural of Noliear Sciece Vol9(2010) No4,pp455-460 Maslia Darus 1, Rabha W Ibrahim 2 1,2 School of Mathematical

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013. Large Deviations for i.i.d. Random Variables

MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013. Large Deviations for i.i.d. Random Variables MASSACHUSETTS INSTITUTE OF TECHNOLOGY 6.265/15.070J Fall 2013 Lecture 2 9/9/2013 Large Deviatios for i.i.d. Radom Variables Cotet. Cheroff boud usig expoetial momet geeratig fuctios. Properties of a momet

More information

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula Derived from the Gamma Function

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula Derived from the Gamma Function Steve R. Dubar Departmet of Mathematics 23 Avery Hall Uiversity of Nebraska-Licol Licol, NE 68588-3 http://www.math.ul.edu Voice: 42-472-373 Fax: 42-472-8466 Topics i Probability Theory ad Stochastic Processes

More information

Bernoulli numbers and the Euler-Maclaurin summation formula

Bernoulli numbers and the Euler-Maclaurin summation formula Physics 6A Witer 006 Beroulli umbers ad the Euler-Maclauri summatio formula I this ote, I shall motivate the origi of the Euler-Maclauri summatio formula. I will also explai why the coefficiets o the right

More information

A Further Refinement of Van Der Corput s Inequality

A Further Refinement of Van Der Corput s Inequality IOSR Joural of Mathematics (IOSR-JM) e-issn: 78-578, p-issn:9-75x Volume 0, Issue Ver V (Mar-Apr 04), PP 7- wwwiosrjouralsorg A Further Refiemet of Va Der Corput s Iequality Amusa I S Mogbademu A A Baiyeri

More information

NOTE ON THE NUMERICAL TRANSCENDENTS S AND s = - 1. n n n BY PROFESSOR W. WOOLSEY JOHNSON.

NOTE ON THE NUMERICAL TRANSCENDENTS S AND s = - 1. n n n BY PROFESSOR W. WOOLSEY JOHNSON. NOTE ON THE NUMBERS S AND S =S l. 477 NOTE ON THE NUMERICAL TRANSCENDENTS S AND s = - 1. BY PROFESSOR W. WOOLSEY JOHNSON. 1. The umbers defied by the series 8 =l4--+-4--4-... ' O 3 W 4 W } where is a positive

More information

MA131 - Analysis 1. Workbook 9 Series III

MA131 - Analysis 1. Workbook 9 Series III MA3 - Aalysis Workbook 9 Series III Autum 004 Cotets 4.4 Series with Positive ad Negative Terms.............. 4.5 Alteratig Series.......................... 4.6 Geeral Series.............................

More information

4.1 SIGMA NOTATION AND RIEMANN SUMS

4.1 SIGMA NOTATION AND RIEMANN SUMS .1 Sigma Notatio ad Riema Sums Cotemporary Calculus 1.1 SIGMA NOTATION AND RIEMANN SUMS Oe strategy for calculatig the area of a regio is to cut the regio ito simple shapes, calculate the area of each

More information

MATH 10550, EXAM 3 SOLUTIONS

MATH 10550, EXAM 3 SOLUTIONS MATH 155, EXAM 3 SOLUTIONS 1. I fidig a approximate solutio to the equatio x 3 +x 4 = usig Newto s method with iitial approximatio x 1 = 1, what is x? Solutio. Recall that x +1 = x f(x ) f (x ). Hece,

More information

SOME TRIBONACCI IDENTITIES

SOME TRIBONACCI IDENTITIES Mathematics Today Vol.7(Dec-011) 1-9 ISSN 0976-38 Abstract: SOME TRIBONACCI IDENTITIES Shah Devbhadra V. Sir P.T.Sarvajaik College of Sciece, Athwalies, Surat 395001. e-mail : drdvshah@yahoo.com The sequece

More information

Section 11.8: Power Series

Section 11.8: Power Series Sectio 11.8: Power Series 1. Power Series I this sectio, we cosider geeralizig the cocept of a series. Recall that a series is a ifiite sum of umbers a. We ca talk about whether or ot it coverges ad i

More information

NUMERICAL METHODS COURSEWORK INFORMAL NOTES ON NUMERICAL INTEGRATION COURSEWORK

NUMERICAL METHODS COURSEWORK INFORMAL NOTES ON NUMERICAL INTEGRATION COURSEWORK NUMERICAL METHODS COURSEWORK INFORMAL NOTES ON NUMERICAL INTEGRATION COURSEWORK For this piece of coursework studets must use the methods for umerical itegratio they meet i the Numerical Methods module

More information

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS Jural Karya Asli Loreka Ahli Matematik Vol. No. (010) page 6-9. Jural Karya Asli Loreka Ahli Matematik A NEW CLASS OF -STEP RATIONAL MULTISTEP METHODS 1 Nazeeruddi Yaacob Teh Yua Yig Norma Alias 1 Departmet

More information

MAT 271 Project: Partial Fractions for certain rational functions

MAT 271 Project: Partial Fractions for certain rational functions MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,

More information

COMPUTING THE EULER S CONSTANT: A HISTORICAL OVERVIEW OF ALGORITHMS AND RESULTS

COMPUTING THE EULER S CONSTANT: A HISTORICAL OVERVIEW OF ALGORITHMS AND RESULTS COMPUTING THE EULER S CONSTANT: A HISTORICAL OVERVIEW OF ALGORITHMS AND RESULTS GONÇALO MORAIS Abstract. We preted to give a broad overview of the algorithms used to compute the Euler s costat. Four type

More information

4x 2. (n+1) x 3 n+1. = lim. 4x 2 n+1 n3 n. n 4x 2 = lim = 3

4x 2. (n+1) x 3 n+1. = lim. 4x 2 n+1 n3 n. n 4x 2 = lim = 3 Exam Problems (x. Give the series (, fid the values of x for which this power series coverges. Also =0 state clearly what the radius of covergece is. We start by settig up the Ratio Test: x ( x x ( x x

More information

AMS Mathematics Subject Classification : 40A05, 40A99, 42A10. Key words and phrases : Harmonic series, Fourier series. 1.

AMS Mathematics Subject Classification : 40A05, 40A99, 42A10. Key words and phrases : Harmonic series, Fourier series. 1. J. Appl. Math. & Computig Vol. x 00y), No. z, pp. A RECURSION FOR ALERNAING HARMONIC SERIES ÁRPÁD BÉNYI Abstract. We preset a coveiet recursive formula for the sums of alteratig harmoic series of odd order.

More information

Lecture 2 Appendix B: Some sample problems from Boas, Chapter 1. Solution: We want to use the general expression for the form of a geometric series

Lecture 2 Appendix B: Some sample problems from Boas, Chapter 1. Solution: We want to use the general expression for the form of a geometric series Lecture Appedix B: ome sample problems from Boas, Chapter Here are some solutios to the sample problems assiged for Chapter, 6 ad 9 : 5 olutio: We wat to use the geeral expressio for the form of a geometric

More information

Q-BINOMIALS AND THE GREATEST COMMON DIVISOR. Keith R. Slavin 8474 SW Chevy Place, Beaverton, Oregon 97008, USA.

Q-BINOMIALS AND THE GREATEST COMMON DIVISOR. Keith R. Slavin 8474 SW Chevy Place, Beaverton, Oregon 97008, USA. INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 8 2008, #A05 Q-BINOMIALS AND THE GREATEST COMMON DIVISOR Keith R. Slavi 8474 SW Chevy Place, Beaverto, Orego 97008, USA slavi@dsl-oly.et Received:

More information

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series.

1.3 Convergence Theorems of Fourier Series. k k k k. N N k 1. With this in mind, we state (without proof) the convergence of Fourier series. .3 Covergece Theorems of Fourier Series I this sectio, we preset the covergece of Fourier series. A ifiite sum is, by defiitio, a limit of partial sums, that is, a cos( kx) b si( kx) lim a cos( kx) b si(

More information

Lesson 10: Limits and Continuity

Lesson 10: Limits and Continuity www.scimsacademy.com Lesso 10: Limits ad Cotiuity SCIMS Academy 1 Limit of a fuctio The cocept of limit of a fuctio is cetral to all other cocepts i calculus (like cotiuity, derivative, defiite itegrals

More information

The Ratio Test. THEOREM 9.17 Ratio Test Let a n be a series with nonzero terms. 1. a. n converges absolutely if lim. n 1

The Ratio Test. THEOREM 9.17 Ratio Test Let a n be a series with nonzero terms. 1. a. n converges absolutely if lim. n 1 460_0906.qxd //04 :8 PM Page 69 SECTION 9.6 The Ratio ad Root Tests 69 Sectio 9.6 EXPLORATION Writig a Series Oe of the followig coditios guaratees that a series will diverge, two coditios guaratee that

More information

PH 411/511 ECE B(k) Sin k (x) dk (1)

PH 411/511 ECE B(k) Sin k (x) dk (1) Fall-26 PH 4/5 ECE 598 A. La Rosa Homework-2 Due -3-26 The Homework is iteded to gai a uderstadig o the Heiseberg priciple, based o a compariso betwee the width of a pulse ad the width of its spectral

More information

18.01 Calculus Jason Starr Fall 2005

18.01 Calculus Jason Starr Fall 2005 Lecture 18. October 5, 005 Homework. Problem Set 5 Part I: (c). Practice Problems. Course Reader: 3G 1, 3G, 3G 4, 3G 5. 1. Approximatig Riema itegrals. Ofte, there is o simpler expressio for the atiderivative

More information

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus

Taylor polynomial solution of difference equation with constant coefficients via time scales calculus TMSCI 3, o 3, 129-135 (2015) 129 ew Treds i Mathematical Scieces http://wwwtmscicom Taylor polyomial solutio of differece equatio with costat coefficiets via time scales calculus Veysel Fuat Hatipoglu

More information

The natural exponential function

The natural exponential function The atural expoetial fuctio Attila Máté Brookly College of the City Uiversity of New York December, 205 Cotets The atural expoetial fuctio for real x. Beroulli s iequality.....................................2

More information

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE

NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE UPB Sci Bull, Series A, Vol 79, Iss, 207 ISSN 22-7027 NEW FAST CONVERGENT SEQUENCES OF EULER-MASCHERONI TYPE Gabriel Bercu We itroduce two ew sequeces of Euler-Mascheroi type which have fast covergece

More information

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION Iteratioal Joural of Pure ad Applied Mathematics Volume 94 No. 204, 9-20 ISSN: 3-8080 (prited versio); ISSN: 34-3395 (o-lie versio) url: http://www.ijpam.eu doi: http://dx.doi.org/0.2732/ijpam.v94i.2 PAijpam.eu

More information

De la Vallée Poussin Summability, the Combinatorial Sum 2n 1

De la Vallée Poussin Summability, the Combinatorial Sum 2n 1 J o u r a l of Mathematics ad Applicatios JMA No 40, pp 5-20 (2017 De la Vallée Poussi Summability, the Combiatorial Sum 1 ( 2 ad the de la Vallée Poussi Meas Expasio Ziad S. Ali Abstract: I this paper

More information

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations

Research Article A New Second-Order Iteration Method for Solving Nonlinear Equations Abstract ad Applied Aalysis Volume 2013, Article ID 487062, 4 pages http://dx.doi.org/10.1155/2013/487062 Research Article A New Secod-Order Iteratio Method for Solvig Noliear Equatios Shi Mi Kag, 1 Arif

More information

Wallis sequence estimated through the Euler Maclaurin formula: even from the Wallis product π could be computed fairly accurately

Wallis sequence estimated through the Euler Maclaurin formula: even from the Wallis product π could be computed fairly accurately 38 Wallis sequece estimated through the Euler Maclauri formula: eve from the Wallis product π could be computed fairly accurately Vito Lampret Summary The power of the Euler Maclauri summatio formula is

More information

SHARP INEQUALITIES INVOLVING THE CONSTANT e AND THE SEQUENCE (1 + 1/n) n

SHARP INEQUALITIES INVOLVING THE CONSTANT e AND THE SEQUENCE (1 + 1/n) n SHARP INEQUALITIES INVOLVING THE CONSTANT e AND THE SEQUENCE + / NECDET BATIR Abstract. Several ew ad sharp iequalities ivolvig the costat e ad the sequece + / are proved.. INTRODUCTION The costat e or

More information

COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π 2 SECONDS AFTER IT IS TOSSED IN?

COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π 2 SECONDS AFTER IT IS TOSSED IN? COURSE INTRODUCTION: WHAT HAPPENS TO A QUANTUM PARTICLE ON A PENDULUM π SECONDS AFTER IT IS TOSSED IN? DROR BAR-NATAN Follows a lecture give by the author i the trivial otios semiar i Harvard o April 9,

More information

Paired Data and Linear Correlation

Paired Data and Linear Correlation Paired Data ad Liear Correlatio Example. A group of calculus studets has take two quizzes. These are their scores: Studet st Quiz Score ( data) d Quiz Score ( data) 7 5 5 0 3 0 3 4 0 5 5 5 5 6 0 8 7 0

More information

Carleton College, Winter 2017 Math 121, Practice Final Prof. Jones. Note: the exam will have a section of true-false questions, like the one below.

Carleton College, Winter 2017 Math 121, Practice Final Prof. Jones. Note: the exam will have a section of true-false questions, like the one below. Carleto College, Witer 207 Math 2, Practice Fial Prof. Joes Note: the exam will have a sectio of true-false questios, like the oe below.. True or False. Briefly explai your aswer. A icorrectly justified

More information

INFINITE SEQUENCES AND SERIES

INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES INFINITE SEQUENCES AND SERIES I geeral, it is difficult to fid the exact sum of a series. We were able to accomplish this for geometric series ad the series /[(+)]. This is

More information

Series: Infinite Sums

Series: Infinite Sums Series: Ifiite Sums Series are a way to mae sese of certai types of ifiitely log sums. We will eed to be able to do this if we are to attai our goal of approximatig trascedetal fuctios by usig ifiite degree

More information

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + 62. Power series Defiitio 16. (Power series) Give a sequece {c }, the series c x = c 0 + c 1 x + c 2 x 2 + c 3 x 3 + is called a power series i the variable x. The umbers c are called the coefficiets of

More information

Investigating the Significance of a Correlation Coefficient using Jackknife Estimates

Investigating the Significance of a Correlation Coefficient using Jackknife Estimates Iteratioal Joural of Scieces: Basic ad Applied Research (IJSBAR) ISSN 2307-4531 (Prit & Olie) http://gssrr.org/idex.php?joural=jouralofbasicadapplied ---------------------------------------------------------------------------------------------------------------------------

More information

PH 411/511 ECE B(k) Sin k (x) dk (1)

PH 411/511 ECE B(k) Sin k (x) dk (1) Fall-27 PH 4/5 ECE 598 A. La Rosa Homework-3 Due -7-27 The Homework is iteded to gai a uderstadig o the Heiseberg priciple, based o a compariso betwee the width of a pulse ad the width of its spectral

More information

Series with Central Binomial Coefficients, Catalan Numbers, and Harmonic Numbers

Series with Central Binomial Coefficients, Catalan Numbers, and Harmonic Numbers 3 47 6 3 Joural of Iteger Sequeces, Vol. 5 (0), Article..7 Series with Cetral Biomial Coefficiets, Catala Numbers, ad Harmoic Numbers Khristo N. Boyadzhiev Departmet of Mathematics ad Statistics Ohio Norther

More information

Infinite Sequences and Series

Infinite Sequences and Series Chapter 6 Ifiite Sequeces ad Series 6.1 Ifiite Sequeces 6.1.1 Elemetary Cocepts Simply speakig, a sequece is a ordered list of umbers writte: {a 1, a 2, a 3,...a, a +1,...} where the elemets a i represet

More information

On the Variations of Some Well Known Fixed Point Theorem in Metric Spaces

On the Variations of Some Well Known Fixed Point Theorem in Metric Spaces Turkish Joural of Aalysis ad Number Theory, 205, Vol 3, No 2, 70-74 Available olie at http://pubssciepubcom/tjat/3/2/7 Sciece ad Educatio Publishig DOI:0269/tjat-3-2-7 O the Variatios of Some Well Kow

More information

Solutions to Homework 7

Solutions to Homework 7 Solutios to Homework 7 Due Wedesday, August 4, 004. Chapter 4.1) 3, 4, 9, 0, 7, 30. Chapter 4.) 4, 9, 10, 11, 1. Chapter 4.1. Solutio to problem 3. The sum has the form a 1 a + a 3 with a k = 1/k. Sice

More information

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION NEW NEWTON-TYPE METHOD WITH k -ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION R. Thukral Padé Research Cetre, 39 Deaswood Hill, Leeds West Yorkshire, LS7 JS, ENGLAND ABSTRACT The objective

More information

International Journal of Pure and Applied Mathematics Volume 7 No ,

International Journal of Pure and Applied Mathematics Volume 7 No , Iteratioal Joural of Pure ad Applied Mathematics Volume 7 No. 003, 07-1 AN IMPROVEMENT OF ARCHIMEDES METHOD OF APPROXIMATING π Gopal Chakrabarti 1, Richard Hudso 1 Uiversity of South Carolia Columbia SC

More information

An Introduction to Randomized Algorithms

An Introduction to Randomized Algorithms A Itroductio to Radomized Algorithms The focus of this lecture is to study a radomized algorithm for quick sort, aalyze it usig probabilistic recurrece relatios, ad also provide more geeral tools for aalysis

More information

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula from the Sum of Average Differences

Topics in Probability Theory and Stochastic Processes Steven R. Dunbar. Stirling s Formula from the Sum of Average Differences Steve R Dubar Departmet of Mathematics 03 Avery Hall Uiversity of Nebraska-Licol Licol, NE 68588-030 http://wwwmathuledu Voice: 40-47-373 Fax: 40-47-8466 Topics i Probability Theory ad Stochastic Processes

More information

ON POINTWISE BINOMIAL APPROXIMATION

ON POINTWISE BINOMIAL APPROXIMATION Iteratioal Joural of Pure ad Applied Mathematics Volume 71 No. 1 2011, 57-66 ON POINTWISE BINOMIAL APPROXIMATION BY w-functions K. Teerapabolar 1, P. Wogkasem 2 Departmet of Mathematics Faculty of Sciece

More information

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n =

sin(n) + 2 cos(2n) n 3/2 3 sin(n) 2cos(2n) n 3/2 a n = 60. Ratio ad root tests 60.1. Absolutely coverget series. Defiitio 13. (Absolute covergece) A series a is called absolutely coverget if the series of absolute values a is coverget. The absolute covergece

More information

COMPLEX FACTORIZATIONS OF THE GENERALIZED FIBONACCI SEQUENCES {q n } Sang Pyo Jun

COMPLEX FACTORIZATIONS OF THE GENERALIZED FIBONACCI SEQUENCES {q n } Sang Pyo Jun Korea J. Math. 23 2015) No. 3 pp. 371 377 http://dx.doi.org/10.11568/kjm.2015.23.3.371 COMPLEX FACTORIZATIONS OF THE GENERALIZED FIBONACCI SEQUENCES {q } Sag Pyo Ju Abstract. I this ote we cosider a geeralized

More information

Math 113 Exam 3 Practice

Math 113 Exam 3 Practice Math Exam Practice Exam 4 will cover.-., 0. ad 0.. Note that eve though. was tested i exam, questios from that sectios may also be o this exam. For practice problems o., refer to the last review. This

More information

Applied Mathematics Letters

Applied Mathematics Letters Applied Mathematics Letters 5 (01) 03 030 Cotets lists available at SciVerse ScieceDirect Applied Mathematics Letters joural homepage: www.elsevier.com/locate/aml O ew computatioal local orders of covergece

More information

Lecture 4. We also define the set of possible values for the random walk as the set of all x R d such that P(S n = x) > 0 for some n.

Lecture 4. We also define the set of possible values for the random walk as the set of all x R d such that P(S n = x) > 0 for some n. Radom Walks ad Browia Motio Tel Aviv Uiversity Sprig 20 Lecture date: Mar 2, 20 Lecture 4 Istructor: Ro Peled Scribe: Lira Rotem This lecture deals primarily with recurrece for geeral radom walks. We preset

More information

PROPERTIES OF THE POSITIVE INTEGERS

PROPERTIES OF THE POSITIVE INTEGERS PROPERTIES OF THE POSITIVE ITEGERS The first itroductio to mathematics occurs at the pre-school level ad cosists of essetially coutig out the first te itegers with oe s figers. This allows the idividuals

More information

A FIBONACCI MATRIX AND THE PERMANENT FUNCTION

A FIBONACCI MATRIX AND THE PERMANENT FUNCTION A FIBONACCI MATRIX AND THE PERMANENT FUNCTION BRUCE W. KING Burt Hiils-Ballsto Lake High School, Ballsto Lake, New York ad FRANCIS D. PARKER The St. Lawrece Uiversity, Cato, New York The permaet of a -square

More information

Sequences I. Chapter Introduction

Sequences I. Chapter Introduction Chapter 2 Sequeces I 2. Itroductio A sequece is a list of umbers i a defiite order so that we kow which umber is i the first place, which umber is i the secod place ad, for ay atural umber, we kow which

More information

Teaching Mathematics Concepts via Computer Algebra Systems

Teaching Mathematics Concepts via Computer Algebra Systems Iteratioal Joural of Mathematics ad Statistics Ivetio (IJMSI) E-ISSN: 4767 P-ISSN: - 4759 Volume 4 Issue 7 September. 6 PP-- Teachig Mathematics Cocepts via Computer Algebra Systems Osama Ajami Rashaw,

More information

Section 1 of Unit 03 (Pure Mathematics 3) Algebra

Section 1 of Unit 03 (Pure Mathematics 3) Algebra Sectio 1 of Uit 0 (Pure Mathematics ) Algebra Recommeded Prior Kowledge Studets should have studied the algebraic techiques i Pure Mathematics 1. Cotet This Sectio should be studied early i the course

More information

Relations between the continuous and the discrete Lotka power function

Relations between the continuous and the discrete Lotka power function Relatios betwee the cotiuous ad the discrete Lotka power fuctio by L. Egghe Limburgs Uiversitair Cetrum (LUC), Uiversitaire Campus, B-3590 Diepebeek, Belgium ad Uiversiteit Atwerpe (UA), Campus Drie Eike,

More information

The Choquet Integral with Respect to Fuzzy-Valued Set Functions

The Choquet Integral with Respect to Fuzzy-Valued Set Functions The Choquet Itegral with Respect to Fuzzy-Valued Set Fuctios Weiwei Zhag Abstract The Choquet itegral with respect to real-valued oadditive set fuctios, such as siged efficiecy measures, has bee used i

More information

CONTENTS. Course Goals. Course Materials Lecture Notes:

CONTENTS. Course Goals. Course Materials Lecture Notes: INTRODUCTION Ho Chi Mih City OF Uiversity ENVIRONMENTAL of Techology DESIGN Faculty Chapter of Civil 1: Orietatio. Egieerig Evaluatio Departmet of mathematical of Water Resources skill Egieerig & Maagemet

More information

7 Sequences of real numbers

7 Sequences of real numbers 40 7 Sequeces of real umbers 7. Defiitios ad examples Defiitio 7... A sequece of real umbers is a real fuctio whose domai is the set N of atural umbers. Let s : N R be a sequece. The the values of s are

More information

CATHOLIC JUNIOR COLLEGE General Certificate of Education Advanced Level Higher 2 JC2 Preliminary Examination MATHEMATICS 9740/01

CATHOLIC JUNIOR COLLEGE General Certificate of Education Advanced Level Higher 2 JC2 Preliminary Examination MATHEMATICS 9740/01 CATHOLIC JUNIOR COLLEGE Geeral Certificate of Educatio Advaced Level Higher JC Prelimiary Examiatio MATHEMATICS 9740/0 Paper 4 Aug 06 hours Additioal Materials: List of Formulae (MF5) Name: Class: READ

More information

MATH CALCULUS II Objectives and Notes for Test 4

MATH CALCULUS II Objectives and Notes for Test 4 MATH 44 - CALCULUS II Objectives ad Notes for Test 4 To do well o this test, ou should be able to work the followig tpes of problems. Fid a power series represetatio for a fuctio ad determie the radius

More information

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n.

Alternating Series. 1 n 0 2 n n THEOREM 9.14 Alternating Series Test Let a n > 0. The alternating series. 1 n a n. 0_0905.qxd //0 :7 PM Page SECTION 9.5 Alteratig Series Sectio 9.5 Alteratig Series Use the Alteratig Series Test to determie whether a ifiite series coverges. Use the Alteratig Series Remaider to approximate

More information

Classroom. We investigate and further explore the problem of dividing x = n + m (m, n are coprime) sheep in

Classroom. We investigate and further explore the problem of dividing x = n + m (m, n are coprime) sheep in Classroom I this sectio of Resoace, we ivite readers to pose questios likely to be raised i a classroom situatio. We may suggest strategies for dealig with them, or ivite resposes, or both. Classroom is

More information