Rules of Differentiation

Similar documents
1 Lecture 13: The derivative as a function.

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x)

0.1 Differentiation Rules

160 Chapter 3: Differentiation

2.4 Exponential Functions and Derivatives (Sct of text)

Chapter Primer on Differentiation

f(x + h) f(x) f (x) = lim

Math 242: Principles of Analysis Fall 2016 Homework 7 Part B Solutions

does NOT exist. WHAT IF THE NUMBER X APPROACHES CANNOT BE PLUGGED INTO F(X)??????

Differentiation Rules c 2002 Donald Kreider and Dwight Lahr

MAT01A1: Differentiation of Polynomials & Exponential Functions + the Product & Quotient Rules

Function Composition and Chain Rules

Differential Calculus Definitions, Rules and Theorems

Section 3.1: Derivatives of Polynomials and Exponential Functions

Differentiation Rules and Formulas

In Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim

Chapter 1D - Rational Expressions

Derivatives. if such a limit exists. In this case when such a limit exists, we say that the function f is differentiable.

3.4 Worksheet: Proof of the Chain Rule NAME

(a 1 m. a n m = < a 1/N n

MAT1A01: Differentiation of Polynomials & Exponential Functions + the Product & Quotient Rules

SECTION 2.1 BASIC CALCULUS REVIEW

The derivative of a function f is a new function defined by. f f (x + h) f (x)

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.

Function Composition and Chain Rules

Derivatives of trigonometric functions

Combining functions: algebraic methods

232 Calculus and Structures

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Math 1210 Midterm 1 January 31st, 2014

Lesson 6: The Derivative

Solution. Solution. f (x) = (cos x)2 cos(2x) 2 sin(2x) 2 cos x ( sin x) (cos x) 4. f (π/4) = ( 2/2) ( 2/2) ( 2/2) ( 2/2) 4.

THE IDEA OF DIFFERENTIABILITY FOR FUNCTIONS OF SEVERAL VARIABLES Math 225

Section 2.7 Derivatives and Rates of Change Part II Section 2.8 The Derivative as a Function. at the point a, to be. = at time t = a is

Exam 1 Review Solutions

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point

MAT 145. Type of Calculator Used TI-89 Titanium 100 points Score 100 possible points

1 ode.mcd. Find solution to ODE dy/dx=f(x,y). Instructor: Nam Sun Wang

Finding and Using Derivative The shortcuts

Mathematics 5 Worksheet 11 Geometry, Tangency, and the Derivative

MATH 155A FALL 13 PRACTICE MIDTERM 1 SOLUTIONS. needs to be non-zero, thus x 1. Also 1 +

How to Find the Derivative of a Function: Calculus 1

Solve exponential equations in one variable using a variety of strategies. LEARN ABOUT the Math. What is the half-life of radon?

Polynomials 3: Powers of x 0 + h

Numerical Differentiation

5.1 We will begin this section with the definition of a rational expression. We

2.8 The Derivative as a Function

7.1 Using Antiderivatives to find Area

1 Solutions to the in class part

Integration Review. May 11, 2013

Differentiation in higher dimensions

Differential Calculus: Differentiation (First Principles, Rules) and Sketching Graphs (Grade 12) *

A.P. CALCULUS (AB) Outline Chapter 3 (Derivatives)

HOMEWORK HELP 2 FOR MATH 151

Polynomial Interpolation

AMS 147 Computational Methods and Applications Lecture 09 Copyright by Hongyun Wang, UCSC. Exact value. Effect of round-off error.

(a) At what number x = a does f have a removable discontinuity? What value f(a) should be assigned to f at x = a in order to make f continuous at a?

2.3 Product and Quotient Rules

Lecture Notes Di erentiating Trigonometric Functions page 1

The derivative function

Section 7.1: Integration by Parts

1 + t5 dt with respect to x. du = 2. dg du = f(u). du dx. dg dx = dg. du du. dg du. dx = 4x3. - page 1 -

NUMERICAL DIFFERENTIATION. James T. Smith San Francisco State University. In calculus classes, you compute derivatives algebraically: for example,

30 is close to t 5 = 15.

Analytic Functions. Differentiable Functions of a Complex Variable

The Derivative The rate of change

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Math 31A Discussion Notes Week 4 October 20 and October 22, 2015

MATH1131/1141 Calculus Test S1 v8a

2.11 That s So Derivative

Introduction to Derivatives

Continuity and Differentiability Worksheet

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

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)

Calculus I Practice Exam 1A

Physically Based Modeling: Principles and Practice Implicit Methods for Differential Equations

Name: Answer Key No calculators. Show your work! 1. (21 points) All answers should either be,, a (finite) real number, or DNE ( does not exist ).

2.3 Algebraic approach to limits

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT

2.1 Derivatives and Rates of Change

Math 102 TEST CHAPTERS 3 & 4 Solutions & Comments Fall 2006

STUDY PACKAGE. Subject : Mathematics Topic : DIFFRENTIATION Available Online :

Sin, Cos and All That

UNIVERSITY OF MANITOBA DEPARTMENT OF MATHEMATICS MATH 1510 Applied Calculus I FIRST TERM EXAMINATION - Version A October 12, :30 am

Shift Theorem Involving the Exponential of a Sum of Non-Commuting Operators in Path Integrals. Abstract

Higher Derivatives. Differentiable Functions

Section 3: The Derivative Definition of the Derivative

Logarithmic functions

1. Questions (a) through (e) refer to the graph of the function f given below. (A) 0 (B) 1 (C) 2 (D) 4 (E) does not exist

MATH 1A Midterm Practice September 29, 2014

3.4 Algebraic Limits. Ex 1) lim. Ex 2)

Differentiation ( , 9.5)

Chapter 3 Definitions and Theorems

0.1 The Chain Rule. db dt = db

MAT244 - Ordinary Di erential Equations - Summer 2016 Assignment 2 Due: July 20, 2016

Recall from our discussion of continuity in lecture a function is continuous at a point x = a if and only if

Subdifferentials of convex functions

Derivatives of Exponentials

Sturm-Liouville Theory

Solutions to the Multivariable Calculus and Linear Algebra problems on the Comprehensive Examination of January 31, 2014

Transcription:

LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te rigt an sie of tis formula means, an ow to compute it. But now, as promise, we are going to evelop tools tat will allow us to compute erivatives witout actually taking its. Rater we sall evelop rules by wic we can compute erivatives from our knowlege of a few basic erivatives. Te first step will be to evelop a repetoire of basic erivatives. However, before we even start, let me write own an alternative it efinition of te erivative. Suppose we want te value of te erivative of f at a particular point x = a. Ten f a + f a a = x 0 Now instea of tinking of going to 0, let us tink instea tink of x := a + going to a. So oing we can write, =, an Tus, f a + f a f x f a a = = x 0 f x f a a := x is an alternative, but equivalent, efinition of te erivative of f at x = a. Okay, now we re reay to evelop te basic rules of ifferentiation. We ll start wit rules to compute te erivatives of simple powers of x. 0.. Te Power Rule. Let s o te easiest case first. Suppose f x = for all x. Ten we ave Next consier f x = x n. In orer te compute tis it we note tat f x + f x x = = = 0 = 0 x 0 0 0 x + n x n x = x 0 A n B n = A B A n + A n B + A n 2 B 2 + + AB n 2 + B n 58

2. RULES OF DIFFERENTIATION 59 Tis can be seen by expaning te rigt an sie an noticing tat all but te first an last terms en up cancelling RHS : = A B A n + A n B + A n 2 B 2 + + AB n 2 + B n We tus ave = A A n + A n B + A n 2 B 2 + + AB n 2 + B n B A n + A n B + A n 2 B 2 + + AB n 2 + B n = A n + A n B + A n 2 B 2 + + A 2 B n 2 + AB n A n B A n 2 B 2 + AB n B n x + n x n x xn = 0 x + n + x + n x + x + n 2 x 2 + + x + x n 2 + x n = = = x + n + x + n x + x + n 2 x 2 + + x + x n 2 + x n n=0 0 Applying formula, we get x + x x + n + x + n x + x + n 2 x 2 + + x + x n 2 + x n = 0 Simplifying te first factor in te numerator, we get x + n + x + n x + x + n 2 x 2 + + x + x n 2 + x n = 0 Cancelling te common factor of from te numerator an te enominator, we get 2 = x + n + x + n x + x + n 2 x 2 + + x + x n 2 + x n 0 Now we re taking te it of a polynomial an tis we can o by simplying evaluating eac term at = 0 because polynomials are always continuous. In fact, we can o tis term by term. So we en up wit x xn = x + 0 n + x + 0 n x + + x + 0 x n 2 + x n 3 = x n + x n + + x n + x n Te only ting tat remains is figure out exactly ow many x n terms appear on te rigt an sie. Looking back at te original expansion we see tat we a a total of n suc terms, for note tat in 2 we ave factors of x tat range from = x 0, x, x 2,..., x n, an so we re basically counting from 0 to n, wic will ave te same number of steps as counting from to n. Conclusion: we ave a total of n terms x n on te rigt an sie of 3. Tus, we can finally conclue: In fact, we ave Teorem 2.. Suppose α is any real number, ten x xn = n x n x xα = αx α Example 2.2. Suppose f x = x π/2, wat is f x? π x xπ/2 = x π/2 2

2. RULES OF DIFFERENTIATION 60 0.2. Te Constant Multiple Rule. Suppose f is a ifferentiable function an c is a constant. Ten cf x + cf x f x + f x cf x = = c = cf x x 0 0 were in te secon equality we ave use te Limit law cf x = c F x wenever c is a constant. Tus, we ave prove. Teorem 2.3. Suppose f is a ifferentiable function an c is a constant, ten cf x = c x x x Example 2.4. Compute te erivative of f x = 3x 5. Well, 3x 5 = 3 x 5 = 3 5x 5 = 5x 4 x x were we ave employe bot te Constant Multiple Rule an te Power Rule. 0.3. Te Sum an Difference Rules. Recall tat F x ± G x = F x ± G x was anoter of our basic Limit Laws. From tis law we see tat, if f an g are ifferentiable functions, One similarly sows tat Tus, f x + + g x + f x + g x f x + g x = x 0 f x + f x g x + g x = + 0 0 = g x + x x x g f x g x = x x x x x Teorem 2.5. Suppose f an g are ifferentiable functions, ten g f x ± g x = x ± x x x x Example 2.6. Compute te erivative of f x = 3x 2 + 2x Well, we ave x = 3x 2 + x x 2x x = 3 2x 2 + 2 x 0 = 6x + 2 Remark 2.7. We often call tis process ifferentiating term-by-term.

2. RULES OF DIFFERENTIATION 6 0.4. Derivatives of Exponential Functions. Recall tat an exponential function was efine as a function of te form a being some constant. f x = a x We can actually compute te erivatives of suc functions. For Notice tat wen x = 0 we ave a x+ a x x = = a x a n x x 0 0 x 0 = a n a n a0 = 0 0 Tus, in general, if f x = a x is an exponential function x = ax f 0 = f x f x Definition 2.8. Suppose e is te unique number suc tat Ten te exponential function e = 0 f x = e x is calle te natural exponential function. We often use te notation for tis exponential function. exp x := e x Te reason wy tis f x = e x is more natural from te point of view of Calculus tan oter exponential functions like f x = 0 x is tat x ex = e x It is, in fact, te unique function suc tat f 0 = an f x = f x. In summary, Teorem 2.9. x ex = e x Example 2.0. Compute te secon erivative of f x = 3x 2 + 4e x. Well, te first erivative of f is x = 3x 2 + 4e x x = x = 3 3x 2 + 4 x ex by te sum rule x x2 + 4 x ex by te constant multiple rule = 3 2x 2 + 4 e x by te rules for ifferentiating x n an e x = 6x + 4e x

2. RULES OF DIFFERENTIATION 62 Te secon erivative is te erivative of te first erivative, so 2 f x 2 : = = x x x 6x + 4ex = 6 x x + 4 x ex = 6 x + 4e x = 6x 0 + 4e x = 6 + 4e x 0.5. Te Prouct Rule. Recall tat te rule F x G x = F x G x mae it easy to compute te its of proucts of functions. Unfortunately, tis rule can not be applie irectly to te computation of erivatives of proucts of functions. For on te one an 3 Wile on te oter an g x x x x f x + g x + f x g x f x g x := x 0 : = 0 f x + f x 0 g x + g x = 0 f x + g x + f x + g x f x g x + + f x g x wic oes not agree wit te rigt an sie of 3. To get te rigt rule, let me start wit te alternative formula for te erivative f a We ten ave f x f a a = x f x g x f a g a fg a = x f x g x + 0 f a g a = f x g x + f a g x f a g x f a g a = g x f x f a + f a g x g a = f x f a = g x + f a Now we can apply te prouct rules to bot its = g x f x f a + f a Now g x = g a since if g x is ifferentiable it is also continuous. Also f a = f a because f a oesn t epen on x. Tus, we get f x f a fg a = g a x + f a g x g a g x g a g x g a = g a f a f a g a

2. RULES OF DIFFERENTIATION 63 Now regaring te evaluation point a as a free parameter x, we get Teorem 2. Te Prouct Rule. Suppose f an g are ifferentiable functions. Ten x fg x = f x g x + f x g x Remark 2.2. Tis rule is also calle te Leibniz rule since it was first publise by Gottfrie Leibniz in 684. 0.6. Te Simple Quotient Rule. From our it laws we also know tat P x = P x so long as Q x 0 Q x Q x But just as wit te Prouct Rule above, we ave to be a little careful an getting te correct rule for ifferentiating quotients of functions. We ll start wit a particularly simple quotient of functions. Suppose f x = Qx. Ten f x f a a : = = x Q x Q a Fining a common enominator for te secon factor, we ave a = x Q a Q x Q x Q a Ten, collecting factors ifferently an using te Prouct Rule for Limits we ave 5 x a = Q a Q x Q x Q a Employing te Quotient Rule we ave Q x Q a = Q x Q a = Q a 2 so long as Q a 0 an, from te efinition of te erivative, we ave Q a Q x = Q x Q a = Q x We can tus conclue from 5 tat x a = [Q a] 2 Q x Regaring te evaluation point a as a variable x, we tus arrive at te following rule: Teorem 2.3 Te Simple Quotient Rule. Suppose Q x is a ifferentiable function. Ten x Q x = Q x [Q x] 2 so long as Q x 0. At points x were Q x = 0, te erivative of Qx nee not be efine.

2. RULES OF DIFFERENTIATION 64 0.7. Te General Quotient Rule. Let us now consier a function of te form f x = P x /Q x. Wit our spanky new Prouct an Simple Quotient Rules in an, we can reaily erive a formula for te erivative of P x /Q x. For all we ave to o is tink of P x /Q x as P x /Q x. Tus, P x = P x x Q x x Q x P = x Q x + P x x Q x = P x Q x + P x Q x Q x 2 We tus ave = P x Q x P x Q x Q x 2 Teorem 2.4. Suppose P x an Q x are ifferentiable functions. Ten P x = P x Q x P x Q x x Q Q x 2 at all points x suc tat Q x 0. Example 2.5. Compute te erivative of f x = x2 3x + x 3 + 2 We ave f x of te form P x Qq wit P x = x 2 3x + Q x = x 3 + 2 To apply te quotient rule we nee to compute P x = x 2 3x + = 2x 2 3 x + 0 = 2x 3 x Q x = x 3 + = 3x 2 + 0 = 3x 2 x We can now plug into te quotient rule x = x P x Q x = P x Q x P x Q x Q x 2 = 2x 3 x 3 + x 2 3x + 3x 2 x 3 + 2