Basic Derivative Properties

Similar documents
f a L Most reasonable functions are continuous, as seen in the following theorem:

Before we can begin Ch. 3 on Radicals, we need to be familiar with perfect squares, cubes, etc. Try and do as many as you can without a calculator!!!

5.3 The Fundamental Theorem of Calculus

VII. The Integral. 50. Area under a Graph. y = f(x)

Lesson 1: Quadratic Equations

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

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

x dx does exist, what does the answer look like? What does the answer to

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship

5.2 Exponent Properties Involving Quotients

7.2 The Definite Integral

Overview of Calculus

The First Fundamental Theorem of Calculus. If f(x) is continuous on [a, b] and F (x) is any antiderivative. f(x) dx = F (b) F (a).

Math 113 Exam 2 Practice

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

Unit #9 : Definite Integral Properties; Fundamental Theorem of Calculus

Duality # Second iteration for HW problem. Recall our LP example problem we have been working on, in equality form, is given below.

CHAPTER 9 BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS

AP Calculus AB First Semester Final Review

approaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

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

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

Math 211A Homework. Edward Burkard. = tan (2x + z)

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

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

20 MATHEMATICS POLYNOMIALS

1.1 Functions. 0.1 Lines. 1.2 Linear Functions. 1.3 Rates of change. 0.2 Fractions. 0.3 Rules of exponents. 1.4 Applications of Functions to Economics

and that at t = 0 the object is at position 5. Find the position of the object at t = 2.

How do we solve these things, especially when they get complicated? How do we know when a system has a solution, and when is it unique?

Goals: Determine how to calculate the area described by a function. Define the definite integral. Explore the relationship between the definite

Recitation 3: More Applications of the Derivative

UNIFORM CONVERGENCE. Contents 1. Uniform Convergence 1 2. Properties of uniform convergence 3

Conservation Law. Chapter Goal. 6.2 Theory

Using integration tables

5.5 The Substitution Rule

Review of Calculus, cont d

Introduction. Calculus I. Calculus II: The Area Problem

If we have a function f(x) which is well-defined for some a x b, its integral over those two values is defined as

Section 6.3 The Fundamental Theorem, Part I

Riemann Sums and Riemann Integrals

Introduction. Calculus I. Calculus II: The Area Problem

APPENDIX. Precalculus Review D.1. Real Numbers and the Real Number Line

The Fundamental Theorem of Calculus Part 2, The Evaluation Part

Chapter 6 Notes, Larson/Hostetler 3e

Riemann Sums and Riemann Integrals

The Regulated and Riemann Integrals

B Veitch. Calculus I Study Guide

n f(x i ) x. i=1 In section 4.2, we defined the definite integral of f from x = a to x = b as n f(x i ) x; f(x) dx = lim i=1

Chapter 8.2: The Integral

Anti-derivatives/Indefinite Integrals of Basic Functions

Math 231E, Lecture 33. Parametric Calculus

Improper Integrals, and Differential Equations

Antiderivatives Introduction

When e = 0 we obtain the case of a circle.

1 nonlinear.mcd Find solution root to nonlinear algebraic equation f(x)=0. Instructor: Nam Sun Wang

Operations with Polynomials

Week 10: Line Integrals

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

Unit 1 Exponentials and Logarithms

Main topics for the First Midterm

ACCESS TO SCIENCE, ENGINEERING AND AGRICULTURE: MATHEMATICS 1 MATH00030 SEMESTER /2019

The graphs of Rational Functions

Mathematics Number: Logarithms

MATH 144: Business Calculus Final Review

MA 124 January 18, Derivatives are. Integrals are.

Infinite Geometric Series

5.7 Improper Integrals

Section 4: Integration ECO4112F 2011

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

Math Calculus with Analytic Geometry II

Mathcad Lecture #1 In-class Worksheet Mathcad Basics

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

CH 9 INTRO TO EQUATIONS

Loudoun Valley High School Calculus Summertime Fun Packet

Stuff You Need to Know From Calculus

INTRODUCTION TO INTEGRATION

Review of basic calculus

PART 1 MULTIPLE CHOICE Circle the appropriate response to each of the questions below. Each question has a value of 1 point.

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

Chapter 6 Techniques of Integration

Jim Lambers MAT 169 Fall Semester Lecture 4 Notes

Equations and Inequalities

Sections 1.3, 7.1, and 9.2: Properties of Exponents and Radical Notation

Identify graphs of linear inequalities on a number line.

Chapter 0. What is the Lebesgue integral about?

Homework Problem Set 1 Solutions

M 106 Integral Calculus and Applications

Math 8 Winter 2015 Applications of Integration

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

Math 3B Final Review

Topics Covered AP Calculus AB

Chapters 4 & 5 Integrals & Applications

AP Calculus Multiple Choice: BC Edition Solutions

SYDE 112, LECTURES 3 & 4: The Fundamental Theorem of Calculus

W. We shall do so one by one, starting with I 1, and we shall do it greedily, trying

3.4 THE DERIVATIVE AS A RATE OF CHANGE

1 Probability Density Functions

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

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b

Transcription:

Bsic Derivtive Properties Let s strt this section by remining ourselves tht the erivtive is the slope of function Wht is the slope of constnt function? c FACT 2 Let f () =c, where c is constnt Then f 0 () =0 Proof If f () =c, then Figure 2: The slope of horizontl line y = c is 0 t ech point, so the erivtive is 0 t ny point f 0 f ( + h) f () c c 0 () =lim = 0 Geometriclly this result is obvious The grph of the constnt function f () =c is horizontl line with height c The geometriclly the erivtive of f is slope of the grph of the function Becuse the grph is horizontl line, the slope of the function is 0 t ech point, ectly s we foun with the limit process Differentibility n Continuity If we think of continuous function s mening the the grph is unbroken there re no gps or holes, then ifferentible function is one tht it s smooth it hs no corners, let lone gps or holes Intuitively then, it woul seem tht ifferentible function must be continuous This is, inee, the cse THEOREM 20 [Differentible implies Continuous] If f is ifferentible t =, then f is continuous t = Proof Becuse f is ifferentible t =, we know two things First, by efinition of the erivtive, f 0 f () f () () =lim! eists (2) Secon, whenever 6=, then f () f () = or, whenever 6=, then f () = f () f () f () ( ), f () ( )+ f () (22)

mth 30 more on erivtives: y 3 2 Now tke the limit in eqution (22) using the efinition of the erivtive in eqution (2): f () f () lim f () =lim ( )+ f ()!! = f 0 () 0 + f () = f () Since lim! f () = f (), by efinition f is continuous t = Sometimes sying the sme thing in ifferent wy cn be more helpful Notice tht by the theorem bove we cn sy: If f is not continuous, then f cnnot be ifferentible, becuse if it were ifferentible Theorem 20 woul sy tht f h to be continuous In other wors, THEOREM 202 [Not Continuous implies Not Differentible] If f is not continuous t =, then f is not ifferentible t = A wor of cution Other wys to fil to be ifferentible Be creful Neither version of the theorem tells us wht hppens if we strt with continuous function In prticulr, if f is continuous t =, we cnnot sy whether f is ifferentible EXAMPLE 203 (Emple of continuous function tht is not ifferentible) Show tht f () = is continuous t = 0 but is not ifferentible there SOLUTION First we nee to show tht is continuous t 0 This mens showing tht lim = 0 This is obvious from the grph (see Figure 22), but let s check it Becuse is piecewise function, we nee to check the left n right limits s pproches 0 From the left From the right, lim = < 0 lim liner = 0 lim = > 0 lim liner = 0 + + Since the left n right limits both re 0, it follows tht lim = 0 Since f (0) = 0 = 0, we see tht f () is continuous t = 0 To show tht f is not ifferentible t 0, we use the efinition of the erivtive of f t point, lim f () f (0) 0 Agin, becuse of the piecewise nture of the, we must check the one-sie limits So From the left lim From the right, f () f (0) 0 0 0 < 0 = 0 Figure 22: The function f () = is efine by (, if 0 =, if < 0 is continuous t = 0, but is not ifferentible there becuse there is corner The slope s pproches 0 from the left is n from the right is + f () f (0) 0 > 0 lim + 0 + 0 + = f () f (0) Since the left n right limits re ifferent, it follows tht lim oes not 0 eist In other wors, the function is not ifferentible t = 0 Here re four emples of functions tht re continuous t = but which re not ifferentible Lecture0te Version: Mitchell-206/09/304:42:54

3 () Figure 23: () The grph is continuous (unbroken) but hs corner, so there re two ifferent slopes t = epening on whether we pproch from the left or the right So f is not ifferentible t, tht is, f 0 () oes not eist (b) (b) The grph is continuous (unbroken) but hs verticl tngent t = (infinite slope) So f is not ifferentible t, tht is, f 0 () oes not eist (c) (c) The grph is continuous (unbroken) but hs cusp t = Sof is not ifferentible t, tht is, f 0 () oes not eist () () The grph is continuous (unbroken) but hs corner t = So there re two ifferent slopes t = epening on whether we pproch from the left or the right So f is not ifferentible t, tht is, f 0 () oes not eist

mth 30 more on erivtives: y 3 4 5-Minute Review: Noticing Pttern In the lst few ys we hve clculte severl erivtives Using the clcultions from our previous clss, the lb ticket, n lb fill in the erivtives of ech of these power functions f () 3 2 2 p = /2 f 0 () If you spot pttern, if f () = 4 wht shoul f 0 () be? If f () = 4, wht shoul f 0 () be? Bonus: If f () = p, wht shoul f 0 () be? Other Nottion for Derivtives The evelopment of clculus is often ttribute to two people, Isc Newton n Gottfrie Leibniz, who inepenently worke its fountions Although they both were instrumentl in its cretion, they thought of the funmentl concepts in very ifferent wys It is interesting to note tht Leibniz ws very conscious of the importnce of goo nottion n put lot of thought into the symbols he use Newton, on the other hn, wrote more for himself thn nyone else Consequently, he tene to use whtever nottion he thought of on tht y This turne out to be importnt in lter evelopments Leibniz s nottion ws better suite to generlizing clculus to multiple vribles n in ition it highlighte the opertor spect of the erivtive n integrl As result, much of the nottion tht is use in Clculus toy is ue to Leibniz Nonetheless, there re severl wys re commonly use to inicte the erivtive of function This prgrph is tken from The History of Clculus" t https://www mthuheu/~tomfore/clchistory html NOTATION Assume tht y = f () is ifferentible function Then the erivtive function of f my be enote by ny of the following: f 0 () =y 0 = y 0 () = y = f ( f ()) = = D ( f ()) The nottion y Dy is ment to remin us of the slope formul D tht motivtes the efinition of the erivtive The nottion D ( f ()) is especilly useful becuse we cn use it to isply both the originl function n its erivtive quite compctly For emple, inste of writing the sentence If f () = 2, then f 0 () =2, (23) we cn write D ( 2 )=2 or (2 )=2 (24) This rises n importnt point with which beginning clculus stuents sometimes hve ifficulty: using proper nottion It is ll too esy to incorrectly write f () = 2 = 2 (25) This confuses the originl function with its erivtive Obviously the two functions 2 n 2 re not the sme, but tht s wht the equl sign mens in eqution (25) So be sure to use the correct nottion s in (23) or (24) bove Lecture0te Version: Mitchell-206/09/304:42:54

5 NOTATION To reference the erivtive of function t specific point when =, use the ny of the following nottion: f 0 () =y 0 () = y = = f = For emple, if f () = 2, we hve seen tht f 0 () =2 So to inicte the slope or instntneous rte of chnge in f t = 5, we might write f 0 (5) =0 or y =5 = 0 Let s use our new nottion in etermining nother erivtive EXAMPLE 24 Determine the erivtive of f () = p Note: The omin of f () is (0, ) SOLUTION Using the efinition of the erivtive, pple p p p = +h lim h!0 p p p +h +h p h h!0 p p p +h +h p h p p + + h p p + + h ( + h) p + h p ( p + p + h) h p + h p ( p + p + h) p p p p h!0 + h ( + + h) Cont = p p ( p + p ) (2 p ) 2 3/2 2 3/2 In other wors, D /2 = 2 3/2 This fits the erlier pttern seen in the tble on pge 4 It ppers tht D ( r ) = r r It ppers tht D ( r ) = r r The Derivtive of f () = n With bit of creful lgebr n the use of some bsic limit properties, we cn now etermine generl formul for the erivtive of f () = n, t lest when n is positive integer (From the pttern tht we hve observe, we epect the nswer to be f 0 () =n n ) Before we begin, we nee to mke n observtion bout fctoring This is best illustrte with the following emple EXAMPLE 25 Multiply out n simplify the prouct ( )( 3 + 2 + 2 + 3 ) SOLUTION We fin ( )( 3 + 2 + 2 + 3 )= 4 + 3 + 2 2 + 3 3 2 2 3 3 = 4 4 (26) Notice by iviing by we cn epress this prouct s quotient 3 + 2 + 2 + 3 = 4 4

mth 30 more on erivtives: y 3 6 YOU TRY IT 2 Notice the cncelltion of ll but the first n lst terms in eqution (26) bove Simplify the prouct ( )( 4 + 3 + 2 2 + 3 + 4 ) For ny positive integer n >, Determine the following prouct ( )( n + n 2 + 2 n 3 n 2 + n ) Finlly rewrite ech epression s equivlent nswer to you try it 2 5 5 n n n, respectively As quotients, 4 + 3 + 2 2 + 3 + 4 = 5 5 n n + n 2 + 2 n 3 n 2 + n = n n Now we re rey to prove the generl result THEOREM 26 (Power Rule for Derivtives) Let n be positive integer The erivtive of f () = n is f 0 () =n n Proof Let n be positive integer n let be ny rel number We will etermine the formul for f 0 () By efinition, f 0 f () () =m tn! f () You Try It 2 n! + n 2 + 2 n 3 n 2 + n = n n Poly =! n n z n times } { n + n + n + + n + n Tht is, f 0 () =n n, so f 0 () =n n Tht is, for ny positive integer n, [n ] = n n Wow! This mens we cn clculte lot s of erivtives without hving to evlute limit epression EXAMPLE 27 Determine the erivtives of f () = 9, g(t) =t 99, n f (s) =s 203 SOLUTION Using Theorem 26, we know tht [n ] = n n so D ( 9 )=9 8, D t (t 99 )=99t 98, n D s (s 203 )=203s 202 Notice the use of proper nottion, incluing the correct vrible nmes Though we hve not proven it yet, there is more generl version of the power rule tht pplies to ny non-zero eponent tht hs the sme form s the Power Rule for Derivtives THEOREM 28 (Generl Power Rule for Derivtives) Let r be ny non-zero rel number Then [r ] = r r EXAMPLE 29 Determine the erivtives of f () = 2/3, g(t) =t 9/2, f (s) =s 203, n g(w) = w 5/4 Lecture0te Version: Mitchell-206/09/304:42:54

7 SOLUTION Using Theorem 28, we know tht [r ] = r r So () D ( 2/3 )= 2 3 /3 (b) D t (t 9/2 )= 9 2 t7/2 (c) D s (s 203 )= 203s 204 () D w w 5/4 = D w w 5/4 = 5 4 w 9/4 Be especilly creful with negtive eponents to subtrct from the eponent Be sure to use proper nottion, incluing the correct vrible nmes YOU TRY IT 22 Determine the erivtives of f () = 5/9, g(t) = 9 t, n h(w) =w 4/7 nswer to you try it 22 f 0 () = 5 9 4/9, g 0 (t) = 9t 20, n h 0 (w) = 4 7 w /7 Algebric Properties of Derivtives As we i with limits, we will now evelop some bsic properties of erivtives of sums n constnt multiples of ifferentible functions Precisely becuse erivtives re limits, we cn employ the corresponing limit properties to help us evelop these rules THEOREM 20 (Constnt Multiple n Sum/Difference Properties) Assume tht f n g re ifferentible functions n tht c is constnt Then () [cf()] = cf0 (); (2) [ f () ± g()] = f 0 () ± g 0 () In other wors, the erivtive of sum is the sum of the erivtives Theorem 20 is bout orer of opertions For emple, prt (2) sys tht we tke the sum first n then clculte the erivtive or we cn tke the iniviul erivtives first n then them The result will be the sme Most of the time it is esier to etermine the iniviul erivtives first n then But occsionlly, the other orer is simpler How woul you escribe the orer of opertions in prt ()? Theorem 20 is very powerful tool Before we give its proof, let s emine how to use this result EXAMPLE 2 Determine the erivtive of h() =9 7 6 /2 + 5, where > 0 SOLUTION Using our erlier work, we know tht 7, /2 n 5 re ll ifferentible functions So we my pply Theorem 20 First we split h() into three pieces, D (9 7 6 /2 + 5) Theorem 20, prt 2 = D (9 7 ) D (6 /2 )+D (5) then fctor out the constnts Theorem 20, prt = 9D ( 7 ) 6D ( /2 )+D (5) n now use the Generl Power Rule n the erivtive of constnt function Theorem 28, Emple = 9(7 6 ) 6 2 /2 + 0 = 63 6 3 /2 This is substntilly simpler thn ctully hving to use limit process to etermine the erivtive To be ble to use Theorem 20 we nee to emonstrte why it is true

mth 30 more on erivtives: y 3 8 Proof To prove prt of Theorem 20, ssume tht f is ifferentible function n tht c is constnt Then by efinition of the erivtive, cf( + h) cf() D (cf()) Using the Constnt Multiple Property for Limits f ( + h) f () = c lim An finish by using the the fct tht f is ifferentible = cf 0 () To prove prt 2 of Theorem 20, tht f n g re ifferentible functions Then by efinition of the erivtive, [ f ( + h)+g( + h)] [ f ()+g()] D ( f ()+g()) which we cn rerrnge s [ f ( + h) f ()] + [g( + h) g()] n then use the Sum Property of Limits f ( + h) f () g( + h) g() + lim Finish by using the the fct tht both f re ifferentible = f 0 ()+g 0 () Here re few more emples EXAMPLE 22 Determine the erivtives of the following functions, where they eist () f () =3 2 2 3 + 8 (b) g() = 5 0 + 0 3p 2 (c) s(t) =(t + )(t 3 + 2) () f (s) = 8s2 + 7s + 2 s SOLUTION In ech of these we mke use of the Generl Power Theorem, the Sum/Difference Theorem, n the Constnt Multiple Theorem for erivtives () For f () =3 2 2 3 + 8, D (3 2 2 3 + 8) Thm 20(2) = D (3 2 ) D (2 3 )+D (8) Thm 20() = 3D ( 2 ) 2D ( 3 )+D (8) Thm 26, Const = 3 2 2 3 2 + 0 = 6 6 2 (b) For g() = 0 5 + 0 3p 5 D 0 + 0 /3 Thm 20(2) 2 2, rewrite in eponent form Thm 20() = Thm 26, Const = = 4 2 + D (0 /3 ) D (2) 5 = D 0 0 D ( 5 )+0D ( /3 ) D (2) 0 54 + 0 3 4/3 + 0 0 4/3 3 Lecture0te Version: Mitchell-206/09/304:42:54

9 In the net two we combine some steps (c) For s(t) =(t + )(t 3 + 2), first multiply out D t (t + )(t 3 + 2) = D t t 4 + t 3 + 2t + 2) Thm 20(2) = D t t 4 + D t (t 3 )+D t (2t)+D t (2) Thm 20(), Thm 26, Const = 4t 3 + 3t 2 + 2 + 0 = 4t 3 + 3t 2 + 2 () For the finl one, first simplify by iviing through by s 8s 2 + 7s + 2 D s = D s 8s + 7 + 2s ) s Thm 20(2) = D t t 4 + D ( 8s)+D s (7)+D s (2s ) Thm 20(), Thm 26, Const = 8 + 0 2s 2 = 8 2s 2 Theorem 20 will be even more useful once we hve etermine (generl) erivtive formuls for functions other thn just powers of or constnts Such itionl functions inclue eponentil n log functions, the trig functions, n the inverse trig functions In the net section we look t erivtives of the eponentil function