ENGI 3424 Engineering Mathematics Five Tutorial Examples of Partial Fractions

Similar documents
AQA Further Pure 2. Hyperbolic Functions. Section 2: The inverse hyperbolic functions

If deg(num) deg(denom), then we should use long-division of polynomials to rewrite: p(x) = s(x) + r(x) q(x), q(x)

Math& 152 Section Integration by Parts

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Section 7.1 Integration by Substitution

20 MATHEMATICS POLYNOMIALS

Improper Integrals. Type I Improper Integrals How do we evaluate an integral such as

Anti-derivatives/Indefinite Integrals of Basic Functions

CHAPTER 6b. NUMERICAL INTERPOLATION

Math 3B Final Review

Functions of Several Variables

5.2 Exponent Properties Involving Quotients

We are looking for ways to compute the integral of a function f(x), f(x)dx.

NUMERICAL INTEGRATION

f(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral

Math 113 Exam 2 Practice

The Product Rule state that if f and g are differentiable functions, then

Summary: Method of Separation of Variables

Precalculus Spring 2017

If u = g(x) is a differentiable function whose range is an interval I and f is continuous on I, then f(g(x))g (x) dx = f(u) du

Theoretical foundations of Gaussian quadrature

Chapter 7 Notes, Stewart 8e. 7.1 Integration by Parts Trigonometric Integrals Evaluating sin m x cos n (x) dx...

Section 3.2: Negative Exponents

Integration Techniques

AQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system

Journal of Inequalities in Pure and Applied Mathematics

The graphs of Rational Functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

MATH FIELD DAY Contestants Insructions Team Essay. 1. Your team has forty minutes to answer this set of questions.

Lesson 25: Adding and Subtracting Rational Expressions

Chapter 1: Fundamentals

Chapter 6 Techniques of Integration

Numerical Analysis: Trapezoidal and Simpson s Rule

The Regulated and Riemann Integrals

Math 113 Exam 2 Practice

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

Spring 2017 Exam 1 MARK BOX HAND IN PART PIN: 17

Identify graphs of linear inequalities on a number line.

MORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)

7. Indefinite Integrals

Polynomial Approximations for the Natural Logarithm and Arctangent Functions. Math 230

Chapter 8: Methods of Integration

A short introduction to local fractional complex analysis

1 Techniques of Integration

PARTIAL FRACTION DECOMPOSITION

I do slope intercept form With my shades on Martin-Gay, Developmental Mathematics

CAAM 453 NUMERICAL ANALYSIS I Examination There are four questions, plus a bonus. Do not look at them until you begin the exam.

Linearly Similar Polynomials

Bridging the gap: GCSE AS Level

Mathematics Number: Logarithms

THE STERN-BROCOT TREE

Polynomials and Division Theory

Abstract inner product spaces

Farey Fractions. Rickard Fernström. U.U.D.M. Project Report 2017:24. Department of Mathematics Uppsala University

MA Exam 2 Study Guide, Fall u n du (or the integral of linear combinations

MATHEMATICS AND STATISTICS 1.2

A-Level Mathematics Transition Task (compulsory for all maths students and all further maths student)

We will see what is meant by standard form very shortly

CMDA 4604: Intermediate Topics in Mathematical Modeling Lecture 19: Interpolation and Quadrature

Orthogonal Polynomials

SUMMER KNOWHOW STUDY AND LEARNING CENTRE

1B40 Practical Skills

Math 113 Fall Final Exam Review. 2. Applications of Integration Chapter 6 including sections and section 6.8

ENGI 9420 Lecture Notes 7 - Fourier Series Page 7.01

Taylor Polynomial Inequalities

ntegration (p3) Integration by Inspection When differentiating using function of a function or the chain rule: If y = f(u), where in turn u = f(x)

Convex Sets and Functions

p-adic Egyptian Fractions

ARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac

Part I: Basic Concepts of Thermodynamics

Techniques of Integration

How can we approximate the area of a region in the plane? What is an interpretation of the area under the graph of a velocity function?

1 ELEMENTARY ALGEBRA and GEOMETRY READINESS DIAGNOSTIC TEST PRACTICE

We know that if f is a continuous nonnegative function on the interval [a, b], then b

MATH 144: Business Calculus Final Review

Topic 6b Finite Difference Approximations

0.1 Chapters 1: Limits and continuity

The Modified Heinz s Inequality

Families of Solutions to Bernoulli ODEs

Bases for Vector Spaces

Math 1B, lecture 4: Error bounds for numerical methods

6.5 Numerical Approximations of Definite Integrals

Sturm-Liouville Eigenvalue problem: Let p(x) > 0, q(x) 0, r(x) 0 in I = (a, b). Here we assume b > a. Let X C 2 1

Best Approximation. Chapter The General Case

1 The Riemann Integral

Lecture 17. Integration: Gauss Quadrature. David Semeraro. University of Illinois at Urbana-Champaign. March 20, 2014

Section 3.3: Fredholm Integral Equations

Consolidation Worksheet

On Error Sum Functions Formed by Convergents of Real Numbers

Engineering Analysis ENG 3420 Fall Dan C. Marinescu Office: HEC 439 B Office hours: Tu-Th 11:00-12:00

Math 360: A primitive integral and elementary functions

Chapter 4. Additional Variational Concepts

Adding and Subtracting Rational Expressions

Reversing the Chain Rule. As we have seen from the Second Fundamental Theorem ( 4.3), the easiest way to evaluate an integral b

Chapter 3 Single Random Variables and Probability Distributions (Part 2)

Energy Bands Energy Bands and Band Gap. Phys463.nb Phenomenon

Convergence of Fourier Series and Fejer s Theorem. Lee Ricketson

Math 100 Review Sheet

Improper Integrals. Introduction. Type 1: Improper Integrals on Infinite Intervals. When we defined the definite integral.

Transcription:

ENGI 44 Engineering Mthemtics Five Tutoril Exmples o Prtil Frctions 1. Express x in prtil rctions: x 4 x 4 x 4 b x x x x Both denomintors re liner non-repeted ctors. The cover-up rule my be used: 4 4 4 4 1; b 1 4 4 Thereore 4 1 1 x 4 x x x Among other uses, it then ollows tht 4 x dx ln x ln x C ln C x 4 x x ln x ln A ln A x x

ENGI 44 Prtil Frctions Exmples Pge o 6. Express x in prtil rctions: x x 1 x x x x 1 x 1 b c x x x x 1 x 1 x x 1 x 1 1 All three denomintors re liner non-repeted ctors. The cover-up rule my be used: b c 0 1 1 0 0 10 1 1 1 1 1 1 1 1 1 11 1 1 1 1 1 1 1 1 Thereore 1 1 x 1 1 1 x 1 1 1 1 x x 1 x x 1 x 1 While it is true tht one cn conclude rom this prtil rction expression tht x 1 dx ln x ln x 1 ln x 1 C ln xx 1 x 1 C ln x x C x x this integrl cn be ound more quickly by using u x dx ln u x C u x u x or ll dierentible unctions with ux x x

ENGI 44 Prtil Frctions Exmples Pge o 6. Express x in prtil rctions: x 1 x x x 1 1 bx c x x x x 1 x x 1 Note tht the polynomil in the numertor o prtil rction must be o order one less thn tht o the denomintor o tht prtil rction. Liner denomintors need constnt numertors, while qudrtic denomintors require liner numertors. OR Only the irst denomintor is liner non-repeted ctor. used to ind : 1 1 1 0 0 1 1 One o the stndrd methods must be used to ind b nd c. Clering the denomintors (nd replcing by +1 ): 1 1 x 1 bx c x 1 b x cx 1 or ll x Mtching coeicients o Mtching coeicients o [The coeicients o x : 0 1b b 1 x 1 : 0 c c 0 The cover-up rule my be 0 x lredy mtch, becuse we ound = 1 by the cover-up rule.] Setting x 1: 1 1 b c 1 A Setting x 1: 1 1 b c 1 B A B c 0 c 0 in A or B b 1 [Note tht setting x = 0 provides no new inormtion, becuse we ound = 1 by the cover-up rule.] Thereore 1 1 x x x x x x 1 Among other uses, it then ollows tht 1 1 x dx ln x ln x 1 C ln C x x x 1

ENGI 44 Prtil Frctions Exmples Pge 4 o 6 4. Express Fs in prtil rctions: F s 6s s8 s 1 s 1 s 6s s 8 b c s 1 s 1 s s 1 s 1 s All three denomintors re liner ctors tht re not repeted. The cover-up rule my be used in ll three cses. c 111 6 1 1 8 1 1 0 6 5 61 1 8 4 1 1 1 1 1 6 8 1 1 18 Thereore F s 17 6 6s s8 5 17 6 s 1 s 1 s s 1 s 1 s I one does not wish to employ the cover-up rule, then strt by clering the denomintors: 6s s 8 s 1 s b s 1 s c s 1 s 1 Setting s 1 yields 6 8 6 0 0 Setting s 1 yields 6 8 0 b 0 Setting s yields 4 48 0 0 c The sme vlues or, b nd c then ollow.

ENGI 44 Prtil Frctions Exmples Pge 5 o 6 5. Express Fs in prtil rctions: F s 5s 7s s 1 s1 s 1 All lower positive integer powers o repeted ctor must pper. In this cse, there must be seprte terms or s 1 nd s 1. The reson or this rule is on the next pge. Where the [non-repeted] denomintor o prtil rction is n n th order polynomil, the corresponding numertor must be n (n 1) th order polynomil. The simple cover-up rule cnnot be used in either cse, (but modiied version cn be used to ind b). 5s 7s s 1 b cs d s 1 s 1 s1 s 1 s 1 5s 7s s 1 s 1 s 1 b s 1 cs d s 1 Setting s 1 yields 5 7 1 0 b 0 b Setting s 0 (or, equivlently, mtching coeicients o 0 0 01 d d At this point we hve severl choices: Mtch two o the remining three coeicients, or Substitute two more vlues o s, or Some combintion o the bove two methods. In this exmple I shll choose to mtch coeicients o s : 5 0 c c 5 0 s ) yields s nd s : 7 d c 10 c 5 nd d 4 5s 7s s 1 s 4 1 s 1 s 1 s 1 s s 1 s.

ENGI 44 Prtil Frctions Exmples Pge 6 o 6 Explntion o Repeted Prtil Frctions Where the denomintor o prtil rction is n n th order polynomil, the corresponding numertor must be n (n 1) th order polynomil. In question 5 prtil rction is repeted nd so should be o the orm: ms n ms m m n ms 1 m n ms1 n m s 1 s 1 s 1 s 1 s 1 ms n b s1 s 1 s1, where m nd b n m Multiply repeted liner ctors re treted in similr wy. For exmple, mx nx px q b c d 4 4 x k x k x k x k x k Repeted qudrtic ctors re lso treted in similr wy: mx nx px q x b cx d x rx s x rx s x rx s Why does the simple cover-up rule work (or non-repeted liner ctors)? s bs Consider this more generl cse: s k g s s k g s where nd k re constnts, gs is n (n) th order polynomil in s tht does not hve s k gk is not zero), s is polynomil in s o order t most (n) nd bs s ctor, (so tht is polynomil in s o order n 1 contining n coeicients to be determined. s g s bss k s Let s = k then k g k b k k k g k 0 which is just the originl rction evluted t s k gk k with the zero ctor s k covered up. Return to your previous pge Creted 006 0 15 nd most recently modiied 017 07 17 by Dr. G.H. George