Class Summary. 2.2 The Limit of a Function 2.3 Calculating Limits Using the Limit Laws

Similar documents
AP Calculus AB 2013 Scoring Guidelines

RC (Resistor-Capacitor) Circuits. AP Physics C

AP Calculus AB 2007 Scoring Guidelines

17 Laplace transform. Solving linear ODE with piecewise continuous right hand sides

Mathematics in Pharmacokinetics What and Why (A second attempt to make it clearer)

Random Walk in 1-D. 3 possible paths x vs n. -5 For our random walk, we assume the probabilities p,q do not depend on time (n) - stationary

Appendix A: Area. 1 Find the radius of a circle that has circumference 12 inches.

Chapter 7. Response of First-Order RL and RC Circuits

cooking trajectory boiling water B (t) microwave time t (mins)

Lectures # 5 and 6: The Prime Number Theorem.

The Transport Equation

MTH6121 Introduction to Mathematical Finance Lesson 5

Chapter 13. Network Flow III Applications Edge disjoint paths Edge-disjoint paths in a directed graphs

Improper Integrals. Dr. Philippe B. laval Kennesaw State University. September 19, f (x) dx over a finite interval [a, b].

AP Calculus BC 2010 Scoring Guidelines

1. y 5y + 6y = 2e t Solution: Characteristic equation is r 2 5r +6 = 0, therefore r 1 = 2, r 2 = 3, and y 1 (t) = e 2t,

Name: Algebra II Review for Quiz #13 Exponential and Logarithmic Functions including Modeling

CHARGE AND DISCHARGE OF A CAPACITOR

Economics Honors Exam 2008 Solutions Question 5

Chapter 4: Exponential and Logarithmic Functions

CHAPTER FIVE. Solutions for Section 5.1

Acceleration Lab Teacher s Guide

PROFIT TEST MODELLING IN LIFE ASSURANCE USING SPREADSHEETS PART ONE

Answer, Key Homework 2 David McIntyre Mar 25,

Chapter 2 Problems. 3600s = 25m / s d = s t = 25m / s 0.5s = 12.5m. Δx = x(4) x(0) =12m 0m =12m

Full-wave rectification, bulk capacitor calculations Chris Basso January 2009

Duration and Convexity ( ) 20 = Bond B has a maturity of 5 years and also has a required rate of return of 10%. Its price is $613.

Mortality Variance of the Present Value (PV) of Future Annuity Payments

LIMITS AND CONTINUITY

Chapter 2 Kinematics in One Dimension

2.5 Life tables, force of mortality and standard life insurance products

Present Value Methodology

Steps for D.C Analysis of MOSFET Circuits

AP Calculus AB 2010 Scoring Guidelines

Imagine a Source (S) of sound waves that emits waves having frequency f and therefore

Fourier Series & The Fourier Transform

Optimal Investment and Consumption Decision of Family with Life Insurance

A Note on Using the Svensson procedure to estimate the risk free rate in corporate valuation

Differential Equations. Solving for Impulse Response. Linear systems are often described using differential equations.

9. Capacitor and Resistor Circuits

= r t dt + σ S,t db S t (19.1) with interest rates given by a mean reverting Ornstein-Uhlenbeck or Vasicek process,

Module 4. Single-phase AC circuits. Version 2 EE IIT, Kharagpur

A Curriculum Module for AP Calculus BC Curriculum Module

Inductance and Transient Circuits

HUT, TUT, LUT, OU, ÅAU / Engineering departments Entrance examination in mathematics May 25, 2004

A Probability Density Function for Google s stocks

A Re-examination of the Joint Mortality Functions

1 HALF-LIFE EQUATIONS

Chapter 6 Interest Rates and Bond Valuation

The Torsion of Thin, Open Sections

ANALYTIC PROOF OF THE PRIME NUMBER THEOREM

Stochastic Optimal Control Problem for Life Insurance

Valuing Long-Lived Assets

I. Basic Concepts (Ch. 1-4)

4 Convolution. Recommended Problems. x2[n] 1 2[n]

Equation for a line. Synthetic Impulse Response Time (sec) x(t) m

The Fourier Transform

Signal Rectification

Keldysh Formalism: Non-equilibrium Green s Function

Voltage level shifting

Signal Processing and Linear Systems I

Capacitors and inductors

Newton s Laws of Motion

Cointegration: The Engle and Granger approach

THE PRESSURE DERIVATIVE

Fourier Series and Fourier Transform

WHAT ARE OPTION CONTRACTS?

Usefulness of the Forward Curve in Forecasting Oil Prices

Morningstar Investor Return

ANALYSIS AND COMPARISONS OF SOME SOLUTION CONCEPTS FOR STOCHASTIC PROGRAMMING PROBLEMS

On the degrees of irreducible factors of higher order Bernoulli polynomials

2.4 Network flows. Many direct and indirect applications telecommunication transportation (public, freight, railway, air, ) logistics

Forecasting Sales: A Model and Some Evidence from the Retail Industry. Russell Lundholm Sarah McVay Taylor Randall

Multiobjective Prediction with Expert Advice

THE FIRM'S INVESTMENT DECISION UNDER CERTAINTY: CAPITAL BUDGETING AND RANKING OF NEW INVESTMENT PROJECTS

Motion Along a Straight Line

Permutations and Combinations

13. a. If the one-year discount factor is.905, what is the one-year interest rate?

11/6/2013. Chapter 14: Dynamic AD-AS. Introduction. Introduction. Keeping track of time. The model s elements

The Heisenberg group and Pansu s Theorem

Return Calculation of U.S. Treasury Constant Maturity Indices

Technical Appendix to Risk, Return, and Dividends

Differential Equations and Linear Superposition

1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z 1 A B C D E F G H I J K L M N O P Q R S { U V W X Y Z

PRESSURE BUILDUP. Figure 1: Schematic of an ideal buildup test

Kinematics in 1-D From Problems and Solutions in Introductory Mechanics (Draft version, August 2014) David Morin,

36 CHAPTER 1. LIMITS AND CONTINUITY. Figure 1.17: At which points is f not continuous?

Aggregate Output. Aggregate Output. Topics. Aggregate Output. Aggregate Output. Aggregate Output

Table of contents Chapter 1 Interest rates and factors Chapter 2 Level annuities Chapter 3 Varying annuities

Module 3 Design for Strength. Version 2 ME, IIT Kharagpur

Working Paper On the timing option in a futures contract. SSE/EFI Working Paper Series in Economics and Finance, No. 619

The Derivative of a Constant is Zero

Chapter 9 Bond Prices and Yield

Conceptually calculating what a 110 OTM call option should be worth if the present price of the stock is

SOLID MECHANICS TUTORIAL GEAR SYSTEMS. This work covers elements of the syllabus for the Edexcel module 21722P HNC/D Mechanical Principles OUTCOME 3.

Fakultet for informasjonsteknologi, Institutt for matematiske fag

I. Pointwise convergence

The option pricing framework

Measuring the Gains from Trade under Monopolistic Competition

Optimal Stock Selling/Buying Strategy with reference to the Ultimate Average

Transcription:

Class Summary. The Limi of a Funcion.3 Calculaing Limis Using he Limi Laws Definiion of a Limi Given a funcion f defined for all near a, ecep possibly a a. We say ha he i of f( ), as approaches a, equals L If we can make he values of f( ) arbirarily close o L (as close o L as we like) by aking o be sufficienly close o a, bu no equal o a. In his case, we wrie Eample : Invesigae ( ) Soluion:. f( ) = L. The graph above suggess ha he values of approaches 5 as approaches. We guess ha ( ) = 5. Eample : Invesigae Soluion: 0 9 3. Le's ake a look a he values of Since 93 for several values of close o 0. 93 is even, we can ake only posiive values of.

As approaches 0, he value of he funcion seem o approach 0.66666, so we guess ha 0 9 3 =. 6 Eample : Invesigae Soluion: 0. Suppose ha Since value of 0 = L, for some number L (in his case, we say 0 is always as approaches 0 from he righ, L =. Bu he eiss.). is always as approaches 0 from he lef, so L =. Here we ge a conradicion. Therefore, 0 does no eis.

One-sided is We say ha he i of f( ) as approaches a from he lef (righ) is equal o L and wrie f( ) = L ( f( ) = L ) if we can make he values of f( ) arbirarily close o L by aking o be sufficienly close o a and < a ( a< ). By comparing he definiion of is wih he definiions of one-sided is, we see ha f( ) = L f( ) = L and f( ) = L. Infinie Limis Le f be a funcion defined on boh sides of a, ecep possibly a a. Then we say he i of f( ) is (negaive) infiniy as approaches a, and wrie f ( ) = ( ) if he values of f( ) can be made as large (negaive) as we like by aking close enough o a, bu no equal o a. Eample : Invesigae. 0 Soluion: We see from he able above ha as ges close o 0, wrie =. 0 ges very large. We

Le's ake a look a he graph of. Verical Asympoes The line = a is called a verical asympoe of he curve y = f( ) if a leas one of he following saemens is rue :. f( ) =. f( ) = 3. f( ) = 4. f( ) = For eamples :. = and =. 0 0. = and =. verical asympoe : =.

3. an ( ) = and an ( ) π π = 4. ln ( ) 0 verical asympoes : =. ( n ) = π, where n. verical asympoe : = 0. Limi Laws Suppose ha c is a consan, f( ) = L and g ( ) = L. Then f( ) ± g ( ) = L± L.. ( ). cf ( ) = cl. f( ) g ( ) = L L. 3. ( ) 4. ( f ) L ( ) n n =, where n is a posiive ineger.

5. = g ( ) L 6. f( ) L = g ( ) L, if L 0., if L 0. Noe ha Suppose c is a consan, wih c = c, = a and i laws, we ge for any a a polynomial P, ( ) P ( ) = Pa ( ). If P ( ) and Q ( ) are polynomials, hen P ( ) Pa ( ) =, if Qa ( ) 0. Q ( ) Qa ( ) Quesion: Wha if Qa ( ) = 0? Problems o hink abou :. Suppose ha boh f ( ) a. Suppose ha boh f ( ) and ( f( ) g ( )) and ( f( ) g ( )) eis, does g ( ) eis, does g ( ) a eis? eis? f( ) 3. Suppose ha g ( ) If so, wha is he i? eiss and g ( ) = 0, does f ( ) a eis? 4. Suppose ha c is a consan, f( ) = L and g ( ) =. Wha can we say abou he following is? ( f g) ( ) ( ), cg ( ) a, ( f( ) g ( )) and f( ). g ( ) 5. Suppose ha c is a consan, f( ) = and g ( ) =, a Wha can we say abou he following is? ( f g), ( f( ) g ( )) ( ) ( ) f( ). g ( ), cg( ), ( f( ) g ( )) and

If f ( ) = and g ( ) =, hen a a. ( ) f g ( ) =.. Le c be a real number, hen ( cf ) ( ) = 0, if c > 0, if c = 0, if c < 0. 3. ( f( ) g ( )) For eample : is an indeerminae form. (csc co ) 0 cos cos = ( ) = 0 sin sin 0 sin cos = ( ) 0 sin 0 = = 0. () For all 0, we can divide boh numeraor and denominaor by. Theorem If f( ) g ( ) when is near a (ecep possibly a a ) and boh f( ) and g ( ) a eis, hen f( ) g ( ). Quesion : Suppose ha f( ) < g ( ) when is near a (ecep possibly a a ) and boh f( ) and g ( ) a eis, is i rue ha f( ) < g ( )?

The Squeeze Theorem If h ( ) f( ) g ( ) when is near a (ecep possibly a a ) and h ( ) = g ( ) = L, hen f ( ) = L. a a Eample : Show ha Soluion : Since sin I is easy o show ha sin = 0. 0 for all 0, we have sin 0 0 = and ( ) 0, for all 0. = 0. By he Squeeze Theorem, we ge sin = 0. 0 Quesion :. Suppose ha f( ) = L, is i rue ha f ( ) = L?. Suppose ha f ( ) eiss, is i rue ha f( ) also eiss? 3. Suppose ha f ( ) = 0, is i rue ha f( ) = 0?