Sum of the generalized harmonic series with even natural exponent
|
|
- Herbert Heath
- 7 years ago
- Views:
Transcription
1 Rendiconti di Matematica, Serie VII Volume 33, Roma (23), 9 26 Sum of te generalized armonic erie wit even natural exponent STEFANO PATRÌ Abtract: In ti paper we deal wit real armonic erie, witout conidering teir complex extenion to te Riemann zeta function. It i well known tat te generalized armonic erie are convergent if te exponent i greater tan one, wile tey are divergent if te exponent i one or le tan one. Furter, if te exponent i an even natural number, tere exit te um of te erie in cloed form being equal to π time a rational number. Ti um wa calculated for te firt time by Euler (ee, for example, [2]) troug Taylor expanion of te function in x/x and ten by Fourier troug te expanion of uitable periodic function. Furter, te formula /n2 = π 2 /6 can be proved by uing Caucy Reidue Calculu or Weiertraß Product Teorem (ee, for example, te firt five book in te reference of []). In recent time te formula /n2 = π 2 /6 a been proved in many oter way (ee [, 3, 4, 5, 6]) troug elementary goniometric argument or imple propertie of te erie and product expanion. Many of tee metod, owever, apply only to te cae /n2. In ti paper we obtain te um of all generalized armonic erie wit an even natural exponent by calculating te eigenvalue of te differential operator derivative of order defined on a certain Hilbert pace and ten by inverting uc operator, in order to obtain te um of te erie a trace of te invere operator. General Cae To calculate te um of te generalized armonic erie / ( n ), let u conider, for eac fixed poitive k N, te linear differential operator T := d Key Word and Prae: Eigenvalue Trace of operator Green function A.M.S. Claification: 34B9, 34B27.
2 2 STEFANO PATRÌ [2] defined on te et D = u L 2 [,]: d2i u() dx 2i Since in ti pace te general eigenvalue equation } = d2i u() dx 2i =, i =,, 2,...,k C (,). T ψ n (x) =λ n ψ n (x) (.) aume te form d [ ( nπ C in x = ( )k n π [ ( nπ C in x, we recognize tat te eigenvalue λ n and te eigenfunction ψ n (x) of te linear operator T are λ n = ( )k n π ( nπ ) and ψ n (x) =C in x repectively. We oberve tat equation (.) defined on te et D can be een, in te frame of quantum mecanic, a a generalization of te time independent Scrödinger equation aociated to a free particle on te interval [,]. Te invere operator of a differential operator i an integral one and by virtue of te propertie of te invere operator (in our cae T ), we ave λ n = ( ) k n π =Tr(T )=Tr [ ( d ) ] (.2) were Tr indicate te trace of te operator. To invert an operator T, for fixed k, weavetofindtekernel G(x, ) uc tat [ ] d G(x, ) u(x) dx = u() (.3) dx were G(x, ) i te Green function of te operator T. By iterating an integration by part and uing te condition on te derivative of even order for te function u D, te left-and ide of te equation (.3)
3 [3] Sum of ome armonic erie 2 become [ ] d G(x, ) u(x) dx dx = G(x, ) d u(x) dg(x, ) dx + d2 G(x, ) d 3 u(x) dx 2 3 G(x, ) + u(x) dx d3 G(x, ) dx 3 = G(x, ) d u(x) + d2 G(x, ) dx 2 G(x, ) + u(x) dx. d 2 u(x) 2 d 4 u(x) 4 d 3 u(x) 3 + d G(x, ) + + d 2 G(x, ) 2 By impoing on te Green function te boundary condition d 2i G(x, ) dx 2i du(x) dx u(x) = d2i G(x, ) = (.4) x= x= dx 2i for all i =,, 2,...,k, te left-and ide of te equation (.3) become [ ] d G(x, ) u(x) dx = dx By ubtituting te (.5) into te (.3), we obtain from wic te relation [ d G(x, ) ] u(x) dx = u() = follow, were δ(x ) i te Dirac δ-function. Te olution of (.7) i G(x, ) = G(x, ) u(x) dx. (.5) δ(x ) u(x) dx (.6) d G(x, ) = δ(x ) (.7) G (x, ) if x [,] G + (x, ) if x [, ]
4 22 STEFANO PATRÌ [4] were G (x, ) and G + (x, ) are two polynomial of degree wit repect to te variable x, tat i G (x, ) =P (x) and G + (x, ) =Q (x). By integrating (.7) wit ɛ >, we obtain te equation +ɛ ɛ d G(x, ) +ɛ dx = ɛ δ(x ) dx from wic, in te limit ɛ +,tejump dicontinuity condition d Q (x) d P (x) = (.8) follow. By ubtituting te olution G(x, ) of te equation (.7) into te left-and ide of te (.6), we obtain P (x) u(x) dx + Q (x) u(x) dx = u(). (.9) By iterating an integration by part and uing te condition (.4) wit te propertie of te et D, te equation (.9) become [ [P (x) Q (x d u(x) dp (x) dq ] (x) d 2 u(x) dx dx 2 [ d 2 ] P (x) + dx 2 d2 Q (x) d 3 u(x) dx u() =u() were te lat term of te left-and ide a coefficient by virtue of (.8). Te kernel G(x, ) of te invere operator given in te (.3) i ten G(x, ) = P (x) if x [,] Q (x) if x [, ] (.) were te 4k parameter ( parameter for eac polynomial) are obtained a olution of te algebraic linear ytem coniting of te 4k linear equation repreenting te boundary condition (.4) in and, te continuity in x = of te derivative up to te order 2 for te (.) to be an identity and te jump dicontinuity in x = of te derivative of order.
5 [5] Sum of ome armonic erie 23 Ti linear ytem i ten of te form d 2i P (x) dx 2i d j P (x) dx j d Q (x) = d2i Q (x) dx 2i = = dj Q (x) dx j d P (x) = (.a) (.b) (.c) for all i =,, 2,...,k and for all j =,, 2,..., 2. At ti point, in analogy wit te cae of finite dimenion in wic te trace of an endomorpim A =(a ρσ ) i given by te um of it diagonal element, tat i Tr(A) = σ a σσ, tetrace of te invere operator ( d /) i ten Tr [ ( d ) ] = G(, ) d. (.2) By ubtituting te trace obtained in te rigt-and ide of (.2) into te equation (.2) and implifying te factor ( ) k, π,, we finally obtain te um of te generalized armonic erie n. 2 Firt example: cae of exponent m =2 Let u conider te linear differential operator T 2 := d2 dx 2 and it eigenvalue equation aving te form wit te eigenvalue It ten follow d 2 [ ( nπ dx 2 C in x = n2 π 2 [ ( nπ 2 C in x, n 2 λ n = n2 π 2 2. = π2 2 Tr [ ( d 2 dx 2 ) ]}. (2.)
6 24 STEFANO PATRÌ [6] In order to invert te operator T 2, we ave to determine it Green function ax + b if x [,] G(x, ) = a x + b if x [, ] and ave to olve te correponding algebraic linear ytem given by te equation (.a), (.b) and (.c), woe form for ti cae i b = a + b = a + b = a + b a a =. Te olution of ti algebraic linear ytem i Ten we ave a =, b =, a =, b =. G(x, ) = ( )x x if x [,] if x [, ]. According to (.2), te trace of te invere operator (T 2 ) i ten [ Tr (T 2 ) ] ( ) 2 = G(, ) d = d = 2 6. (2.2) By ubtituting (2.2) into (2.), we finally obtain te well-known reult n 2 = π Second example: cae of exponent m =4 Let u conider te linear differential operator T 4 := d4 dx 4 and it eigenvalue equation aving te form d 4 [ ( nπ dx 4 C in x = n4 π 4 [ ( nπ 4 C in x,
7 [7] Sum of ome armonic erie 25 wit te eigenvalue It ten follow n 4 = π4 4 λ n = n4 π 4 4. Tr [ ( d 4 dx 4 ) ]}. (3.) In order to invert te operator T 4, we ave to determine it Green function ax G(x, ) = 3 + bx 2 + cx + d x [,] a x 3 + b x 2 + c x + d x [, ] and ave to olve te correponding algebraic linear ytem given by te equation (.a), (.b) and (.c), woe form for ti cae i d = a 3 + b 2 + c + d = b = 6a +2b = a 3 + b 2 + c + d = a 3 + b 2 + c + d 3a 2 +2b + c =3a 2 +2b + c 6a +2b =6a +2b 6a 6a =. Te olution of ti algebraic linear ytem i a = 6 ( ), b =, c = , d = a = 6, Ten we ave 6 G(x, ) = b = 2, c = , d = 3 6. ( ) ( x ) 3 2 x if x [,] 2 x 3 ( 6 x ) x Te trace of te invere operator (T 4 ) i ten [ ( ) d 4 ] ( ) 4 Tr dx 4 = if x [, ]. d = 4 9. (3.2)
8 26 STEFANO PATRÌ [8] By ubtituting (3.2) into (3.), we finally obtain te well-known reult n 4 = π4 9 REFERENCES [] Boo Rim Coe: An Elementary Proof of k= /k2 = π 2 /6, Te American Matematical Montly, (7) 94 (987), [2] P. Eymard J. P. Lafon: Te Number π, American Matematical Society, 24. [3] D. P. Giey: Still Anoter Elementary Proof Tat k= /k2 = π 2 /6, Matematic Magazine, (3) 45 (972), [4] Y. Matuoka: An Elementary Proof of te Formula k= /k2 = π 2 /6, Te American Matematical Montly, (5) 68 (96), [5] I. Papadimitriou: A Simple Proof of te Formula k= /k2 = π 2 /6, Te American Matematical Montly, (4) 8 (973), [6] E. L. Stark: Proof of te Formula k= /k2 = π 2 /6, Te American Matematical Montly, (5) 76 (969), Lavoro pervenuto alla redazione il 8 maggio 22 ed accettato per la pubblicazione il 2 ettembre 22 Indirizzo dell Autore: Stefano Patrì Metod and Model for Economic Territory and Finance Sapienza Univerity of Rome Italy addre: tefano.patri@uniroma.it
Derivatives Math 120 Calculus I D Joyce, Fall 2013
Derivatives Mat 20 Calculus I D Joyce, Fall 203 Since we ave a good understanding of its, we can develop derivatives very quickly. Recall tat we defined te derivative f x of a function f at x to be te
More informationFINITE DIFFERENCE METHODS
FINITE DIFFERENCE METHODS LONG CHEN Te best known metods, finite difference, consists of replacing eac derivative by a difference quotient in te classic formulation. It is simple to code and economic to
More informationIn other words the graph of the polynomial should pass through the points
Capter 3 Interpolation Interpolation is te problem of fitting a smoot curve troug a given set of points, generally as te grap of a function. It is useful at least in data analysis (interpolation is a form
More informationSection 3.3. Differentiation of Polynomials and Rational Functions. Difference Equations to Differential Equations
Difference Equations to Differential Equations Section 3.3 Differentiation of Polynomials an Rational Functions In tis section we begin te task of iscovering rules for ifferentiating various classes of
More informationChapter 7 Numerical Differentiation and Integration
45 We ave a abit in writing articles publised in scientiþc journals to make te work as Þnised as possible, to cover up all te tracks, to not worry about te blind alleys or describe ow you ad te wrong idea
More informationInstantaneous Rate of Change:
Instantaneous Rate of Cange: Last section we discovered tat te average rate of cange in F(x) can also be interpreted as te slope of a scant line. Te average rate of cange involves te cange in F(x) over
More informationMATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION
MATHEMATICS FOR ENGINEERING DIFFERENTIATION TUTORIAL 1 - BASIC DIFFERENTIATION Tis tutorial is essential pre-requisite material for anyone stuing mecanical engineering. Tis tutorial uses te principle of
More informationTangent Lines and Rates of Change
Tangent Lines and Rates of Cange 9-2-2005 Given a function y = f(x), ow do you find te slope of te tangent line to te grap at te point P(a, f(a))? (I m tinking of te tangent line as a line tat just skims
More informationLecture 10: What is a Function, definition, piecewise defined functions, difference quotient, domain of a function
Lecture 10: Wat is a Function, definition, piecewise defined functions, difference quotient, domain of a function A function arises wen one quantity depends on anoter. Many everyday relationsips between
More informationCHAPTER 7. Di erentiation
CHAPTER 7 Di erentiation 1. Te Derivative at a Point Definition 7.1. Let f be a function defined on a neigborood of x 0. f is di erentiable at x 0, if te following it exists: f 0 fx 0 + ) fx 0 ) x 0 )=.
More informationACT Math Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationals: fractions, tat is, anyting expressable as a ratio of integers Reals: integers plus rationals plus special numbers suc as
More informationProjective Geometry. Projective Geometry
Euclidean versus Euclidean geometry describes sapes as tey are Properties of objects tat are uncanged by rigid motions» Lengts» Angles» Parallelism Projective geometry describes objects as tey appear Lengts,
More informationMath 22B, Homework #8 1. y 5y + 6y = 2e t
Math 22B, Homework #8 3.7 Problem # We find a particular olution of the ODE y 5y + 6y 2e t uing the method of variation of parameter and then verify the olution uing the method of undetermined coefficient.
More informationThe Nonlinear Pendulum
The Nonlinear Pendulum D.G. Simpon, Ph.D. Department of Phyical Science and Enineerin Prince Geore ommunity ollee December 31, 1 1 The Simple Plane Pendulum A imple plane pendulum conit, ideally, of a
More information1 Lecture: Integration of rational functions by decomposition
Lecture: Integration of rational functions by decomposition into partial fractions Recognize and integrate basic rational functions, except when the denominator is a power of an irreducible quadratic.
More informationf(x + h) f(x) h as representing the slope of a secant line. As h goes to 0, the slope of the secant line approaches the slope of the tangent line.
Derivative of f(z) Dr. E. Jacobs Te erivative of a function is efine as a limit: f (x) 0 f(x + ) f(x) We can visualize te expression f(x+) f(x) as representing te slope of a secant line. As goes to 0,
More informationOptical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng
Optical Illuion Sara Bolouki, Roger Groe, Honglak Lee, Andrew Ng. Introduction The goal of thi proect i to explain ome of the illuory phenomena uing pare coding and whitening model. Intead of the pare
More information6. Differentiating the exponential and logarithm functions
1 6. Differentiating te exponential and logaritm functions We wis to find and use derivatives for functions of te form f(x) = a x, were a is a constant. By far te most convenient suc function for tis purpose
More informationSAT Subject Math Level 1 Facts & Formulas
Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reals: integers plus fractions, decimals, and irrationals ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences: PEMDAS (Parenteses
More informationCHAPTER 8: DIFFERENTIAL CALCULUS
CHAPTER 8: DIFFERENTIAL CALCULUS 1. Rules of Differentiation As we ave seen, calculating erivatives from first principles can be laborious an ifficult even for some relatively simple functions. It is clearly
More informationf(a + h) f(a) f (a) = lim
Lecture 7 : Derivative AS a Function In te previous section we defined te derivative of a function f at a number a (wen te function f is defined in an open interval containing a) to be f (a) 0 f(a + )
More informationWriting Mathematics Papers
Writing Matematics Papers Tis essay is intended to elp your senior conference paper. It is a somewat astily produced amalgam of advice I ave given to students in my PDCs (Mat 4 and Mat 9), so it s not
More informationSolutions to Sample Problems for Test 3
22 Differential Equation Intructor: Petronela Radu November 8 25 Solution to Sample Problem for Tet 3 For each of the linear ytem below find an interval in which the general olution i defined (a) x = x
More informationChapter 10: Refrigeration Cycles
Capter 10: efrigeration Cycles Te vapor compression refrigeration cycle is a common metod for transferring eat from a low temperature to a ig temperature. Te above figure sows te objectives of refrigerators
More informationMECH 2110 - Statics & Dynamics
Chapter D Problem 3 Solution 1/7/8 1:8 PM MECH 11 - Static & Dynamic Chapter D Problem 3 Solution Page 7, Engineering Mechanic - Dynamic, 4th Edition, Meriam and Kraige Given: Particle moving along a traight
More informationVerifying Numerical Convergence Rates
1 Order of accuracy Verifying Numerical Convergence Rates We consider a numerical approximation of an exact value u. Te approximation depends on a small parameter, suc as te grid size or time step, and
More informationHow To Ensure That An Eac Edge Program Is Successful
Introduction Te Economic Diversification and Growt Enterprises Act became effective on 1 January 1995. Te creation of tis Act was to encourage new businesses to start or expand in Newfoundland and Labrador.
More informationHOMOTOPY PERTURBATION METHOD FOR SOLVING A MODEL FOR HIV INFECTION OF CD4 + T CELLS
İtanbul icaret Üniveritei Fen Bilimleri Dergii Yıl: 6 Sayı: Güz 7/. 9-5 HOMOOPY PERURBAION MEHOD FOR SOLVING A MODEL FOR HIV INFECION OF CD4 + CELLS Mehmet MERDAN ABSRAC In thi article, homotopy perturbation
More informationThe EOQ Inventory Formula
Te EOQ Inventory Formula James M. Cargal Matematics Department Troy University Montgomery Campus A basic problem for businesses and manufacturers is, wen ordering supplies, to determine wat quantity of
More informationA Multigrid Tutorial part two
A Multigrid Tutorial part two William L. Briggs Department of Matematics University of Colorado at Denver Van Emden Henson Center for Applied Scientific Computing Lawrence Livermore National Laboratory
More informationOPTIMAL DISCONTINUOUS GALERKIN METHODS FOR THE ACOUSTIC WAVE EQUATION IN HIGHER DIMENSIONS
OPTIMAL DISCONTINUOUS GALERKIN METHODS FOR THE ACOUSTIC WAVE EQUATION IN HIGHER DIMENSIONS ERIC T. CHUNG AND BJÖRN ENGQUIST Abstract. In tis paper, we developed and analyzed a new class of discontinuous
More informationThe Derivative as a Function
Section 2.2 Te Derivative as a Function 200 Kiryl Tsiscanka Te Derivative as a Function DEFINITION: Te derivative of a function f at a number a, denoted by f (a), is if tis limit exists. f (a) f(a+) f(a)
More informationSAT Math Facts & Formulas
Numbers, Sequences, Factors SAT Mat Facts & Formuas Integers:..., -3, -2, -1, 0, 1, 2, 3,... Reas: integers pus fractions, decimas, and irrationas ( 2, 3, π, etc.) Order Of Operations: Aritmetic Sequences:
More informationGeometric Stratification of Accounting Data
Stratification of Accounting Data Patricia Gunning * Jane Mary Horgan ** William Yancey *** Abstract: We suggest a new procedure for defining te boundaries of te strata in igly skewed populations, usual
More information1.7. Partial Fractions. 1.7.1. Rational Functions and Partial Fractions. A rational function is a quotient of two polynomials: R(x) = P (x) Q(x).
.7. PRTIL FRCTIONS 3.7. Partial Fractions.7.. Rational Functions and Partial Fractions. rational function is a quotient of two polynomials: R(x) = P (x) Q(x). Here we discuss how to integrate rational
More informationMathematics Course 111: Algebra I Part IV: Vector Spaces
Mathematics Course 111: Algebra I Part IV: Vector Spaces D. R. Wilkins Academic Year 1996-7 9 Vector Spaces A vector space over some field K is an algebraic structure consisting of a set V on which are
More informationPartial Fractions. (x 1)(x 2 + 1)
Partial Fractions Adding rational functions involves finding a common denominator, rewriting each fraction so that it has that denominator, then adding. For example, 3x x 1 3x(x 1) (x + 1)(x 1) + 1(x +
More informationCatalogue no. 12-001-XIE. Survey Methodology. December 2004
Catalogue no. 1-001-XIE Survey Metodology December 004 How to obtain more information Specific inquiries about tis product and related statistics or services sould be directed to: Business Survey Metods
More informationSAT Math Must-Know Facts & Formulas
SAT Mat Must-Know Facts & Formuas Numbers, Sequences, Factors Integers:..., -3, -2, -1, 0, 1, 2, 3,... Rationas: fractions, tat is, anyting expressabe as a ratio of integers Reas: integers pus rationas
More informationGeneral Framework for an Iterative Solution of Ax b. Jacobi s Method
2.6 Iterative Solutions of Linear Systems 143 2.6 Iterative Solutions of Linear Systems Consistent linear systems in real life are solved in one of two ways: by direct calculation (using a matrix factorization,
More informationSolution of the Heat Equation for transient conduction by LaPlace Transform
Solution of the Heat Equation for tranient conduction by LaPlace Tranform Thi notebook ha been written in Mathematica by Mark J. McCready Profeor and Chair of Chemical Engineering Univerity of Notre Dame
More informationThe finite element immersed boundary method: model, stability, and numerical results
Te finite element immersed boundary metod: model, stability, and numerical results Lucia Gastaldi Università di Brescia ttp://dm.ing.unibs.it/gastaldi/ INdAM Worksop, Cortona, September 18, 2006 Joint
More informationSections 3.1/3.2: Introducing the Derivative/Rules of Differentiation
Sections 3.1/3.2: Introucing te Derivative/Rules of Differentiation 1 Tangent Line Before looking at te erivative, refer back to Section 2.1, looking at average velocity an instantaneous velocity. Here
More informationMath 113 HW #5 Solutions
Mat 3 HW #5 Solutions. Exercise.5.6. Suppose f is continuous on [, 5] and te only solutions of te equation f(x) = 6 are x = and x =. If f() = 8, explain wy f(3) > 6. Answer: Suppose we ad tat f(3) 6. Ten
More information1.6. Analyse Optimum Volume and Surface Area. Maximum Volume for a Given Surface Area. Example 1. Solution
1.6 Analyse Optimum Volume and Surface Area Estimation and oter informal metods of optimizing measures suc as surface area and volume often lead to reasonable solutions suc as te design of te tent in tis
More informationNotes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.
Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But
More informationTwo Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL
Excerpt from the Proceeding of the COMSO Conference 0 India Two Dimenional FEM Simulation of Ultraonic Wave Propagation in Iotropic Solid Media uing COMSO Bikah Ghoe *, Krihnan Balaubramaniam *, C V Krihnamurthy
More informationMixed Method of Model Reduction for Uncertain Systems
SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol 4 No June Mixed Method of Model Reduction for Uncertain Sytem N Selvaganean Abtract: A mixed method for reducing a higher order uncertain ytem to a table reduced
More informationHøgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver
Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: chechkin@mech.math.msu.su Narvik 6 PART I Task. Consider two-point
More informationv = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t
Chapter 2 Motion in One Dimenion 2.1 The Important Stuff 2.1.1 Poition, Time and Diplacement We begin our tudy of motion by conidering object which are very mall in comparion to the ize of their movement
More information2.1: The Derivative and the Tangent Line Problem
.1.1.1: Te Derivative and te Tangent Line Problem Wat is te deinition o a tangent line to a curve? To answer te diiculty in writing a clear deinition o a tangent line, we can deine it as te iting position
More information1D STEADY STATE HEAT
D SEADY SAE HEA CONDUCION () Pabal alukda Aociate Pofeo Depatment of Mecanical Engineeing II Deli E-mail: pabal@mec.iitd.ac.in Palukda/Mec-IID emal Contact eitance empeatue ditibution and eat flow line
More informationA note on profit maximization and monotonicity for inbound call centers
A note on profit maximization and monotonicity for inbound call center Ger Koole & Aue Pot Department of Mathematic, Vrije Univeriteit Amterdam, The Netherland 23rd December 2005 Abtract We conider an
More informationAverage and Instantaneous Rates of Change: The Derivative
9.3 verage and Instantaneous Rates of Cange: Te Derivative 609 OBJECTIVES 9.3 To define and find average rates of cange To define te derivative as a rate of cange To use te definition of derivative to
More informationThe Method of Partial Fractions Math 121 Calculus II Spring 2015
Rational functions. as The Method of Partial Fractions Math 11 Calculus II Spring 015 Recall that a rational function is a quotient of two polynomials such f(x) g(x) = 3x5 + x 3 + 16x x 60. The method
More informationNumerical Methods for Differential Equations
Numerical Methods for Differential Equations Course objectives and preliminaries Gustaf Söderlind and Carmen Arévalo Numerical Analysis, Lund University Textbooks: A First Course in the Numerical Analysis
More informationQueueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems,
MANAGEMENT SCIENCE Vol. 54, No. 3, March 28, pp. 565 572 in 25-199 ein 1526-551 8 543 565 inform doi 1.1287/mnc.17.82 28 INFORMS Scheduling Arrival to Queue: A Single-Server Model with No-Show INFORMS
More informationLINEAR ALGEBRA W W L CHEN
LINEAR ALGEBRA W W L CHEN c W W L Chen, 1997, 2008 This chapter is available free to all individuals, on understanding that it is not to be used for financial gain, and may be downloaded and/or photocopied,
More informationComputer Science and Engineering, UCSD October 7, 1999 Goldreic-Levin Teorem Autor: Bellare Te Goldreic-Levin Teorem 1 Te problem We æx a an integer n for te lengt of te strings involved. If a is an n-bit
More informationTRANSFORM AND ITS APPLICATION
LAPLACE TRANSFORM AND ITS APPLICATION IN CIRCUIT ANALYSIS C.T. Pan. Definition of the Laplace Tranform. Ueful Laplace Tranform Pair.3 Circuit Analyi in S Domain.4 The Tranfer Function and the Convolution
More informationSolutions by: KARATUĞ OZAN BiRCAN. PROBLEM 1 (20 points): Let D be a region, i.e., an open connected set in
KOÇ UNIVERSITY, SPRING 2014 MATH 401, MIDTERM-1, MARCH 3 Instructor: BURAK OZBAGCI TIME: 75 Minutes Solutions by: KARATUĞ OZAN BiRCAN PROBLEM 1 (20 points): Let D be a region, i.e., an open connected set
More informationTHE NEISS SAMPLE (DESIGN AND IMPLEMENTATION) 1997 to Present. Prepared for public release by:
THE NEISS SAMPLE (DESIGN AND IMPLEMENTATION) 1997 to Present Prepared for public release by: Tom Scroeder Kimberly Ault Division of Hazard and Injury Data Systems U.S. Consumer Product Safety Commission
More informationCompute the derivative by definition: The four step procedure
Compute te derivative by definition: Te four step procedure Given a function f(x), te definition of f (x), te derivative of f(x), is lim 0 f(x + ) f(x), provided te limit exists Te derivative function
More informationYou may use a scientific calculator (non-graphing, non-programmable) during testing.
TECEP Tet Decription College Algebra MAT--TE Thi TECEP tet algebraic concept, procee, and practical application. Topic include: linear equation and inequalitie; quadratic equation; ytem of equation and
More informationby the matrix A results in a vector which is a reflection of the given
Eigenvalues & Eigenvectors Example Suppose Then So, geometrically, multiplying a vector in by the matrix A results in a vector which is a reflection of the given vector about the y-axis We observe that
More informationTaylor and Maclaurin Series
Taylor and Maclaurin Series In the preceding section we were able to find power series representations for a certain restricted class of functions. Here we investigate more general problems: Which functions
More informationMath 229 Lecture Notes: Product and Quotient Rules Professor Richard Blecksmith richard@math.niu.edu
Mat 229 Lecture Notes: Prouct an Quotient Rules Professor Ricar Blecksmit ricar@mat.niu.eu 1. Time Out for Notation Upate It is awkwar to say te erivative of x n is nx n 1 Using te prime notation for erivatives,
More informationCHAPTER SIX IRREDUCIBILITY AND FACTORIZATION 1. BASIC DIVISIBILITY THEORY
January 10, 2010 CHAPTER SIX IRREDUCIBILITY AND FACTORIZATION 1. BASIC DIVISIBILITY THEORY The set of polynomials over a field F is a ring, whose structure shares with the ring of integers many characteristics.
More informationDetermine the perimeter of a triangle using algebra Find the area of a triangle using the formula
Student Name: Date: Contact Person Name: Pone Number: Lesson 0 Perimeter, Area, and Similarity of Triangles Objectives Determine te perimeter of a triangle using algebra Find te area of a triangle using
More informationUnemployment insurance/severance payments and informality in developing countries
Unemployment insurance/severance payments and informality in developing countries David Bardey y and Fernando Jaramillo z First version: September 2011. Tis version: November 2011. Abstract We analyze
More informationON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE
ON LOCAL LIKELIHOOD DENSITY ESTIMATION WHEN THE BANDWIDTH IS LARGE Byeong U. Park 1 and Young Kyung Lee 2 Department of Statistics, Seoul National University, Seoul, Korea Tae Yoon Kim 3 and Ceolyong Park
More information1 2 3 1 1 2 x = + x 2 + x 4 1 0 1
(d) If the vector b is the sum of the four columns of A, write down the complete solution to Ax = b. 1 2 3 1 1 2 x = + x 2 + x 4 1 0 0 1 0 1 2. (11 points) This problem finds the curve y = C + D 2 t which
More informationSchedulability Analysis under Graph Routing in WirelessHART Networks
Scedulability Analysis under Grap Routing in WirelessHART Networks Abusayeed Saifulla, Dolvara Gunatilaka, Paras Tiwari, Mo Sa, Cenyang Lu, Bo Li Cengjie Wu, and Yixin Cen Department of Computer Science,
More informationFactoring Polynomials
Factoring Polynomials Hoste, Miller, Murieka September 12, 2011 1 Factoring In the previous section, we discussed how to determine the product of two or more terms. Consider, for instance, the equations
More informationSolving partial differential equations (PDEs)
Solving partial differential equations (PDEs) Hans Fangor Engineering and te Environment University of Soutampton United Kingdom fangor@soton.ac.uk May 3, 2012 1 / 47 Outline I 1 Introduction: wat are
More informationNote nine: Linear programming CSE 101. 1 Linear constraints and objective functions. 1.1 Introductory example. Copyright c Sanjoy Dasgupta 1
Copyrigt c Sanjoy Dasgupta Figure. (a) Te feasible region for a linear program wit two variables (see tet for details). (b) Contour lines of te objective function: for different values of (profit). Te
More informationTheoretical calculation of the heat capacity
eoretical calculation of te eat capacity Principle of equipartition of energy Heat capacity of ideal and real gases Heat capacity of solids: Dulong-Petit, Einstein, Debye models Heat capacity of metals
More informationCyber Epidemic Models with Dependences
Cyber Epidemic Models wit Dependences Maocao Xu 1, Gaofeng Da 2 and Souuai Xu 3 1 Department of Matematics, Illinois State University mxu2@ilstu.edu 2 Institute for Cyber Security, University of Texas
More informationMath 4310 Handout - Quotient Vector Spaces
Math 4310 Handout - Quotient Vector Spaces Dan Collins The textbook defines a subspace of a vector space in Chapter 4, but it avoids ever discussing the notion of a quotient space. This is understandable
More informationElasticity Theory Basics
G22.3033-002: Topics in Computer Graphics: Lecture #7 Geometric Modeling New York University Elasticity Theory Basics Lecture #7: 20 October 2003 Lecturer: Denis Zorin Scribe: Adrian Secord, Yotam Gingold
More informationInner Product Spaces
Math 571 Inner Product Spaces 1. Preliminaries An inner product space is a vector space V along with a function, called an inner product which associates each pair of vectors u, v with a scalar u, v, and
More informationThe modelling of business rules for dashboard reporting using mutual information
8 t World IMACS / MODSIM Congress, Cairns, Australia 3-7 July 2009 ttp://mssanz.org.au/modsim09 Te modelling of business rules for dasboard reporting using mutual information Gregory Calbert Command, Control,
More informationRepresentation of functions as power series
Representation of functions as power series Dr. Philippe B. Laval Kennesaw State University November 9, 008 Abstract This document is a summary of the theory and techniques used to represent functions
More informationDifferentiation and Integration
This material is a supplement to Appendix G of Stewart. You should read the appendix, except the last section on complex exponentials, before this material. Differentiation and Integration Suppose we have
More informationAn inquiry into the multiplier process in IS-LM model
An inquiry into te multiplier process in IS-LM model Autor: Li ziran Address: Li ziran, Room 409, Building 38#, Peing University, Beijing 00.87,PRC. Pone: (86) 00-62763074 Internet Address: jefferson@water.pu.edu.cn
More informationShell and Tube Heat Exchanger
Sell and Tube Heat Excanger MECH595 Introduction to Heat Transfer Professor M. Zenouzi Prepared by: Andrew Demedeiros, Ryan Ferguson, Bradford Powers November 19, 2009 1 Abstract 2 Contents Discussion
More informationProfitability of Loyalty Programs in the Presence of Uncertainty in Customers Valuations
Proceeding of the 0 Indutrial Engineering Reearch Conference T. Doolen and E. Van Aken, ed. Profitability of Loyalty Program in the Preence of Uncertainty in Cutomer Valuation Amir Gandomi and Saeed Zolfaghari
More informationSOLVING POLYNOMIAL EQUATIONS
C SOLVING POLYNOMIAL EQUATIONS We will assume in this appendix that you know how to divide polynomials using long division and synthetic division. If you need to review those techniques, refer to an algebra
More informationMATHEMATICAL MODELS OF LIFE SUPPORT SYSTEMS Vol. I - Mathematical Models for Prediction of Climate - Dymnikov V.P.
MATHEMATICAL MODELS FOR PREDICTION OF CLIMATE Institute of Numerical Matematics, Russian Academy of Sciences, Moscow, Russia. Keywords: Modeling, climate system, climate, dynamic system, attractor, dimension,
More informationIntroduction to Algebraic Geometry. Bézout s Theorem and Inflection Points
Introduction to Algebraic Geometry Bézout s Theorem and Inflection Points 1. The resultant. Let K be a field. Then the polynomial ring K[x] is a unique factorisation domain (UFD). Another example of a
More information( ) FACTORING. x In this polynomial the only variable in common to all is x.
FACTORING Factoring is similar to breaking up a number into its multiples. For example, 10=5*. The multiples are 5 and. In a polynomial it is the same way, however, the procedure is somewhat more complicated
More informationMATH 132: CALCULUS II SYLLABUS
MATH 32: CALCULUS II SYLLABUS Prerequisites: Successful completion of Math 3 (or its equivalent elsewhere). Math 27 is normally not a sufficient prerequisite for Math 32. Required Text: Calculus: Early
More informationFACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z
FACTORING POLYNOMIALS IN THE RING OF FORMAL POWER SERIES OVER Z DANIEL BIRMAJER, JUAN B GIL, AND MICHAEL WEINER Abstract We consider polynomials with integer coefficients and discuss their factorization
More informationa 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)
ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x
More informationBUILT-IN DUAL FREQUENCY ANTENNA WITH AN EMBEDDED CAMERA AND A VERTICAL GROUND PLANE
Progre In Electromagnetic Reearch Letter, Vol. 3, 51, 08 BUILT-IN DUAL FREQUENCY ANTENNA WITH AN EMBEDDED CAMERA AND A VERTICAL GROUND PLANE S. H. Zainud-Deen Faculty of Electronic Engineering Menoufia
More informationAn Introduction to Partial Differential Equations in the Undergraduate Curriculum
An Introduction to Partial Differential Equations in the Undergraduate Curriculum J. Tolosa & M. Vajiac LECTURE 11 Laplace s Equation in a Disk 11.1. Outline of Lecture The Laplacian in Polar Coordinates
More information2.12 Student Transportation. Introduction
Introduction Figure 1 At 31 Marc 2003, tere were approximately 84,000 students enrolled in scools in te Province of Newfoundland and Labrador, of wic an estimated 57,000 were transported by scool buses.
More informationResearch Article An (s, S) Production Inventory Controlled Self-Service Queuing System
Probability and Statitic Volume 5, Article ID 558, 8 page http://dxdoiorg/55/5/558 Reearch Article An (, S) Production Inventory Controlled Self-Service Queuing Sytem Anoop N Nair and M J Jacob Department
More informationCOMPANY BALANCE MODELS AND THEIR USE FOR PROCESS MANAGEMENT
COMPANY BALANCE MODELS AND THEIR USE FOR PROCESS MANAGEMENT Mária Mišanková INTRODUCTION Balance model i in general tem of equation motl linear and the goal i to find value of required quantit from pecified
More informationEffects of a Price Decrease. Separating Income and Substitution Effects. Hicks and Slutsky Decompositions. Hicks Substitution and Income Effects
Effect of a Price Decreae Searating Incoe and Subtitution Effect ECON 37: Microeconoic Teor Suer 24 Rice Univerit Stanle Gilbert Can be broken down into two coonent Incoe effect Wen te rice of one good
More information