The Natural Logarithm

Size: px
Start display at page:

Download "The Natural Logarithm"

Transcription

1 The Natural Logarithm In earlier courses, you may have seen logarithms efine in terms of raising bases to powers. For eample, log 2 8 = 3 because 2 3 = 8. In those terms, the natural logarithm ln = log e shoul be the power to which you raise e to get. (Remember that ln is just shorthan for log e.) Now e = e is represente by an infinite non-repeating ecimal (like π). So, for instance, ln4 is the power to which you raise e = to get 4. How woul you figure that out? You might also woner where e comes from: How o you compute it? An why choose such an ugly number for a logarithm base? In this section, I ll take a ifferent approach to the natural log. I ll efine it using calculus as the area uner a curve. For starters, this allows us to compute its erivative easily. But what oes this have to o with logarithms efine in terms of raising bases to powers? When you stuie logarithms, you learne that they satisfy certain properties: (a) log a y = log a +log a y. (b) log a y = log a log a y. (c) log a p = plog a. () log a = 0. I ll show that the log I efine as an area satisfies those properties. That gives some justification for consiering it to be a logarithm. To begin with, the Power Rule says n = n+ n+ +C for n. The formula oes not apply to. An antierivative F() of woul have to satisfy F() =. But the Funamental Theorem implies that if > 0, then t t =. Thus, t plays the role of F(). t Define the natural log function ln by ln = t for > 0. t

2 By construction, if > 0, ln =, an = ln+c. t t represents the area uner f(t) = t y from to : f(t) = /t ln t ln has many properties you epect a logarithm to have. For eample, ln = t = 0. t You epect the log of a prouct to equal the sum of the logs. If a an b are positive numbers, then ln(ab) = ab a t t = ab t t+ a t t. So In the secon integral, let u = t t, so u =, an t = au. When t = a, u = ; when t = ab, u = b. a a a ab t t+ a a t t = b t t+ u = lna+lnb. u In other wors, In similar fashion, you can verify that ln(ab) = lna+lnb. ln a b = lna lnb an lnp = pln. Thus, there is some justification in calling ln a logarithm, because it has the same properties you epect logs to have. Here are some aitional properties of ln. First, ln = > 0 for > 0. Therefore, the graph of ln is increasing for > 0. Moreover, 2 2 ln = < 0 for > 0. 2 Therefore, the graph of ln is concave own for > 0. 2

3 Net, consier the following picture: f(t) = /t The area uner the curve from to 4 is ln4. It is greater than the sum of the areas of the three rectangles, so ln4 > = 3 2 >. If n is a positive integer, then So if > 4 n, then nln4 > n, or ln4 n > n. ln > ln4 n > n. Since n is an arbitrary positive integer, I can make ln arbitrarily large by making sufficiently large. This proves that lim ln = +. + Here s the graph of ln: y y = ln The ifferentiation formula for ln works together with the other ifferentiation rules in the usual ways. Eample. Compute: (a) ln(2 ++7). (b) ln(sin+3 ). 3

4 (c) [ (ln) 7 +ln( 7 ) ]. 2 () ln. (e) ln(ln(ln+)). (a) (b) (c) () (e) ln(2 ++7) = ln(sin+3 ) = cos+32 sin+ 3. [ (ln) 7 +ln( 7 ) ] = [ (ln) 7 +7ln ] = 7(ln) (ln)(2) ( 2 ) ln = (ln) 2 ( ) ( ln(ln(ln+)) = ln(ln+) = 2ln (ln) 2. )( )( ). ln+ If I say that f() = g() the erivative of f() is g() then g() shoul be efine wherever f() is efine. Therefore, it is not really correct to say without the qualification > 0 that ln =. For is efine for 0, whereas ln is only efine for > 0. It turns out that the correct statement is: ln = for 0. For > 0, this is the same as the ol formula. For < 0, =, so So our new antierivative formula is ln = ln( ) = =. = ln +C. You can omit the absolute value signs if the quantity insie is never negative. For eample, = ln(2 +)+C. Since 2 + is always positive, I can write ln( 2 +) instea of ln

5 Eample. Compute = u u 2 = 2 u u = 2 ln u +C = 2 ln 2 5 +C. ] [ u = 2 5, u = 2, = u 2 Eample. Compute = u u 3 2 = 3 u u = 3 ln u +C = 3 ln C. ] [ u = 3 +2, u = 3 2, = u 3 2 You can use logarithmic ifferentiation to compute erivatives which are ifficult to compute in other ways. Eample. Compute (2 +) 4. Let y = ( 2 +) 4. Taking logs an bringing the power own, I get lny = ln( 2 +) 4 = 4 ln( 2 +). Differentiate both sies, using the Chain Rule on the left an the Prouct Rule (an Chain Rule) on the right: y ( ) 2 y = (4 ) 2 +[ln( 2 +)](4 3 ). + Multiply both sies by y to clear the fraction on the left, then substitute y = ( 2 +) 4 : ( ( ) ) ( ( ) ) 2 2 y = y ( 4 ) 2 +[ln( 2 +)](4 3 ) = ( 2 +) 4 ( 4 ) + 2 +[ln( 2 +)](4 3 ). + I can use calculus to construct the eponential function e. For > 0, I have Since > 0, I have ln = facts: ln =. > 0. This means that ln increases for > 0. Net, I use following (a) An increasing function f is injective: If f(a) = f(b), then a = b. (b) An injective function f : X Y has an inverse function f : Y X. Applying these facts to ln, I fin that it has an inverse function, which I will enote e (or ep()). Thus: 5

6 . e is a function from R to the positive real numbers (because ln is a function from the positive real numbers to R). 2. e ln = for > 0 an lne = for R. It s easy to use the properties of the natural log to erive corresponing properties of e : (a) e +y = e e y. (b) e y = e e y. (c) (e ) p = e p. () e 0 =. To complete the iscussion, I can use ln an e to efine logs an eponentials to other bases. (a) If a > 0 an > 0, efine log a = ln lna. (b) If a > 0, efine a = e lna. With these efinitions, a log a = a (ln)/(lna) = e (ln)/(lna) lna = e ln =. In wors, this says that log a is the power to which you raise a to get the efinition of a log in terms of a base raise to a power that you knew before. Using the efinitions for log a an a, I also get the ifferentiation formulas log a = lna an a = a lna. The point of oing things using calculus is not that we have any new properties. Rather, it allows us to erive properties which were just state an taken for grante in a rigorous way. c 208 by Bruce Ikenaga 6

Integration by Parts

Integration by Parts Integration by Parts 6-3-207 If u an v are functions of, the Prouct Rule says that (uv) = uv +vu Integrate both sies: (uv) = uv = uv + u v + uv = uv vu, vu v u, I ve written u an v as shorthan for u an

More information

Section 7.1: Integration by Parts

Section 7.1: Integration by Parts Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the

More information

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

(a 1 m. a n m = < a 1/N n Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain

More information

The Natural Logarithm

The Natural Logarithm The Naural Logarihm 5-4-007 The Power Rule says n = n + n+ + C provie ha n. The formula oes no apply o. An anierivaive F( of woul have o saisfy F( =. Bu he Funamenal Theorem implies ha if > 0, hen Thus,

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0.

Lecture 4 : General Logarithms and Exponentials. a x = e x ln a, a > 0. For a > 0 an x any real number, we efine Lecture 4 : General Logarithms an Exponentials. a x = e x ln a, a > 0. The function a x is calle the exponential function with base a. Note that ln(a x ) = x ln

More information

Inverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that

Inverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that Inverse Functions Review from Last Time: The Derivative of y = ln Last time we saw that THEOREM 22.0.. The natural log function is ifferentiable an More generally, the chain rule version is ln ) =. ln

More information

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth MA 2232 Lecture 08 - Review of Log an Exponential Functions an Exponential Growth Friay, February 2, 2018. Objectives: Review log an exponential functions, their erivative an integration formulas. Exponential

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x =

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x = 6.4 Integration using tan/ We will revisit the ouble angle ientities: sin = sin/ cos/ = tan/ sec / = tan/ + tan / cos = cos / sin / tan = = tan / sec / tan/ tan /. = tan / + tan / So writing t = tan/ we

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

More information

Final Exam Study Guide and Practice Problems Solutions

Final Exam Study Guide and Practice Problems Solutions Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Transcendental Functions

Transcendental Functions 78 Chapter 9 Transcenental Functions º½ 9 Transcenental Functions ÁÒÚ Ö ÙÒØ ÓÒ Informally, two functions f an g are inverses if each reverses, or unoes, the other More precisely: DEFINITION 9 Two functions

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

MA Midterm Exam 1 Spring 2012

MA Midterm Exam 1 Spring 2012 MA Miterm Eam Spring Hoffman. (7 points) Differentiate g() = sin( ) ln(). Solution: We use the quotient rule: g () = ln() (sin( )) sin( ) (ln()) (ln()) = ln()(cos( ) ( )) sin( )( ()) (ln()) = ln() cos(

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x)

x = c of N if the limit of f (x) = L and the right-handed limit lim f ( x) Limit We say the limit of f () as approaches c equals L an write, lim L. One-Sie Limits (Left an Right-Hane Limits) Suppose a function f is efine near but not necessarily at We say that f has a left-hane

More information

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions Section 3.4-3.6 The Chain Rule an Implicit Differentiation with Application on Derivative of Logarithm Functions Ruipeng Shen September 3r, 5th Ruipeng Shen MATH 1ZA3 September 3r, 5th 1 / 3 The Chain

More information

Fall 2016: Calculus I Final

Fall 2016: Calculus I Final Answer the questions in the spaces provie on the question sheets. If you run out of room for an answer, continue on the back of the page. NO calculators or other electronic evices, books or notes are allowe

More information

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises.

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises. BEFORE You Begin Calculus II If it has been awhile since you ha Calculus, I strongly suggest that you refresh both your ifferentiation an integration skills. I woul also like to remin you that in Calculus,

More information

Lecture 6: Calculus. In Song Kim. September 7, 2011

Lecture 6: Calculus. In Song Kim. September 7, 2011 Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear

More information

Module FP2. Further Pure 2. Cambridge University Press Further Pure 2 and 3 Hugh Neill and Douglas Quadling Excerpt More information

Module FP2. Further Pure 2. Cambridge University Press Further Pure 2 and 3 Hugh Neill and Douglas Quadling Excerpt More information 5548993 - Further Pure an 3 Moule FP Further Pure 5548993 - Further Pure an 3 Differentiating inverse trigonometric functions Throughout the course you have graually been increasing the number of functions

More information

1. Find the equation of a line passing through point (5, -2) with slope ¾. (State your answer in slope-int. form)

1. Find the equation of a line passing through point (5, -2) with slope ¾. (State your answer in slope-int. form) INTRO TO CALCULUS REVIEW FINAL EXAM NAME: DATE: A. Equations of Lines (Review Chapter) y = m + b (Slope-Intercept Form) A + By = C (Stanar Form) y y = m( ) (Point-Slope Form). Fin the equation of a line

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Additional Exercises for Chapter 10

Additional Exercises for Chapter 10 Aitional Eercises for Chapter 0 About the Eponential an Logarithm Functions 6. Compute the area uner the graphs of i. f() =e over the interval [ 3, ]. ii. f() =e over the interval [, 4]. iii. f() = over

More information

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

f(x + h) f(x) f (x) = lim Introuction 4.3 Some Very Basic Differentiation Formulas If a ifferentiable function f is quite simple, ten it is possible to fin f by using te efinition of erivative irectly: f () 0 f( + ) f() However,

More information

Outline. MS121: IT Mathematics. Differentiation Rules for Differentiation: Part 1. Outline. Dublin City University 4 The Quotient Rule

Outline. MS121: IT Mathematics. Differentiation Rules for Differentiation: Part 1. Outline. Dublin City University 4 The Quotient Rule MS2: IT Mathematics Differentiation Rules for Differentiation: Part John Carroll School of Mathematical Sciences Dublin City University Pattern Observe You may have notice the following pattern when we

More information

Chapter 2. Exponential and Log functions. Contents

Chapter 2. Exponential and Log functions. Contents Chapter. Exponential an Log functions This material is in Chapter 6 of Anton Calculus. The basic iea here is mainly to a to the list of functions we know about (for calculus) an the ones we will stu all

More information

Linear and quadratic approximation

Linear and quadratic approximation Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function

More information

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x . Fin erivatives of the following functions: (a) f() = tan ( 2 + ) ( ) 2 (b) f() = ln 2 + (c) f() = sin() Solution: Math 80, Eam 2, Fall 202 Problem Solution (a) The erivative is compute using the Chain

More information

Differentiation Rules Derivatives of Polynomials and Exponential Functions

Differentiation Rules Derivatives of Polynomials and Exponential Functions Derivatives of Polynomials an Exponential Functions Differentiation Rules Derivatives of Polynomials an Exponential Functions Let s start with the simplest of all functions, the constant function f(x)

More information

MA123, Supplement: Exponential and logarithmic functions (pp , Gootman)

MA123, Supplement: Exponential and logarithmic functions (pp , Gootman) MA23, Supplement: Exponential an logarithmic functions pp. 35-39, Gootman) Chapter Goals: Review properties of exponential an logarithmic functions. Learn how to ifferentiate exponential an logarithmic

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Chapter 7. Integrals and Transcendental Functions

Chapter 7. Integrals and Transcendental Functions 7. The Logarithm Define as an Integral Chapter 7. Integrals an Transcenental Functions 7.. The Logarithm Define as an Integral Note. In this section, we introuce the natural logarithm function using efinite

More information

IMPLICIT DIFFERENTIATION

IMPLICIT DIFFERENTIATION IMPLICIT DIFFERENTIATION CALCULUS 3 INU0115/515 (MATHS 2) Dr Arian Jannetta MIMA CMath FRAS Implicit Differentiation 1/ 11 Arian Jannetta Explicit an implicit functions Explicit functions An explicit function

More information

Antiderivatives. Definition (Antiderivative) If F (x) = f (x) we call F an antiderivative of f. Alan H. SteinUniversity of Connecticut

Antiderivatives. Definition (Antiderivative) If F (x) = f (x) we call F an antiderivative of f. Alan H. SteinUniversity of Connecticut Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Definition (Inefinite

More information

SYDE 112, LECTURE 1: Review & Antidifferentiation

SYDE 112, LECTURE 1: Review & Antidifferentiation SYDE 112, LECTURE 1: Review & Antiifferentiation 1 Course Information For a etaile breakown of the course content an available resources, see the Course Outline. Other relevant information for this section

More information

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4

CHAPTER SEVEN. Solutions for Section x x t t4 4. ) + 4x = 7. 6( x4 3x4 CHAPTER SEVEN 7. SOLUTIONS 6 Solutions for Section 7.. 5.. 4. 5 t t + t 5 5. 5. 6. t 8 8 + t4 4. 7. 6( 4 4 ) + 4 = 4 + 4. 5q 8.. 9. We break the antierivative into two terms. Since y is an antierivative

More information

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim QF101: Quantitative Finance September 5, 2017 Week 3: Derivatives Facilitator: Christopher Ting AY 2017/2018 I recoil with ismay an horror at this lamentable plague of functions which o not have erivatives.

More information

3.2 Differentiability

3.2 Differentiability Section 3 Differentiability 09 3 Differentiability What you will learn about How f (a) Might Fail to Eist Differentiability Implies Local Linearity Numerical Derivatives on a Calculator Differentiability

More information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

Single Variable Calculus Warnings

Single Variable Calculus Warnings Single Variable Calculus Warnings These notes highlight number of common, but serious, first year calculus errors. Warning. The formula g(x) = g(x) is vali only uner the hypothesis g(x). Discussion. In

More information

C6-1 Differentiation 2

C6-1 Differentiation 2 C6-1 Differentiation 2 the erivatives of sin, cos, a, e an ln Pre-requisites: M5-4 (Raians), C5-7 (General Calculus) Estimate time: 2 hours Summary Lea-In Learn Solve Revise Answers Summary The erivative

More information

Integration: Using the chain rule in reverse

Integration: Using the chain rule in reverse Mathematics Learning Centre Integration: Using the chain rule in reverse Mary Barnes c 999 University of Syney Mathematics Learning Centre, University of Syney Using the Chain Rule in Reverse Recall that

More information

1 Applications of the Chain Rule

1 Applications of the Chain Rule November 7, 08 MAT86 Week 6 Justin Ko Applications of the Chain Rule We go over several eamples of applications of the chain rule to compute erivatives of more complicate functions. Chain Rule: If z =

More information

Summary: Differentiation

Summary: Differentiation Techniques of Differentiation. Inverse Trigonometric functions The basic formulas (available in MF5 are: Summary: Differentiation ( sin ( cos The basic formula can be generalize as follows: Note: ( sin

More information

DIFFERENTIATION RULES

DIFFERENTIATION RULES 3 DIFFERENTIATION RULES DIFFERENTIATION RULES 3.6 Derivatives of Logarithmic Functions In this section, we: use implicit differentiation to find the derivatives of the logarithmic functions and, in particular,

More information

MATH 205 Practice Final Exam Name:

MATH 205 Practice Final Exam Name: MATH 205 Practice Final Eam Name:. (2 points) Consier the function g() = e. (a) (5 points) Ientify the zeroes, vertical asymptotes, an long-term behavior on both sies of this function. Clearly label which

More information

February 21 Math 1190 sec. 63 Spring 2017

February 21 Math 1190 sec. 63 Spring 2017 February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative

More information

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities:

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities: 6.4 Integration using tanx/) We will revisit the ouble angle ientities: sin x = sinx/) cosx/) = tanx/) sec x/) = tanx/) + tan x/) cos x = cos x/) sin x/) tan x = = tan x/) sec x/) tanx/) tan x/). = tan

More information

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam. MATH 2250 Calculus I Date: October 5, 2017 Eric Perkerson Optimization Notes 1 Chapter 4 Note: Any material in re you will nee to have memorize verbatim (more or less) for tests, quizzes, an the final

More information

1 Lecture 13: The derivative as a function.

1 Lecture 13: The derivative as a function. 1 Lecture 13: Te erivative as a function. 1.1 Outline Definition of te erivative as a function. efinitions of ifferentiability. Power rule, erivative te exponential function Derivative of a sum an a multiple

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Derivatives of Trigonometric Functions

Derivatives of Trigonometric Functions Derivatives of Trigonometric Functions 9-8-28 In this section, I ll iscuss its an erivatives of trig functions. I ll look at an important it rule first, because I ll use it in computing the erivative of

More information

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects

More information

0.1 The Chain Rule. db dt = db

0.1 The Chain Rule. db dt = db 0. The Chain Rule A basic illustration of the chain rules comes in thinking about runners in a race. Suppose two brothers, Mark an Brian, hol an annual race to see who is the fastest. Last year Mark won

More information

THEOREM: THE CONSTANT RULE

THEOREM: THE CONSTANT RULE MATH /MYERS/ALL FORMULAS ON THIS REVIEW MUST BE MEMORIZED! DERIVATIVE REVIEW THEOREM: THE CONSTANT RULE The erivative of a constant function is zero. That is, if c is a real number, then c 0 Eample 1:

More information

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function Function Notation requires that we state a function with f () on one sie of an equation an an epression in terms of on the other sie

More information

Section 7.2. The Calculus of Complex Functions

Section 7.2. The Calculus of Complex Functions Section 7.2 The Calculus of Complex Functions In this section we will iscuss limits, continuity, ifferentiation, Taylor series in the context of functions which take on complex values. Moreover, we will

More information

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS

Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS. An isosceles triangle, whose base is the interval from (0, 0) to (c, 0), has its verte on the graph

More information

Calculus Class Notes for the Combined Calculus and Physics Course Semester I

Calculus Class Notes for the Combined Calculus and Physics Course Semester I Calculus Class Notes for the Combine Calculus an Physics Course Semester I Kelly Black December 14, 2001 Support provie by the National Science Founation - NSF-DUE-9752485 1 Section 0 2 Contents 1 Average

More information

Math 106 Exam 2 Topics. du dx

Math 106 Exam 2 Topics. du dx The Chain Rule Math 106 Exam 2 Topics Composition (g f)(x 0 ) = g(f(x 0 )) ; (note: we on t know what g(x 0 ) is.) (g f) ought to have something to o with g (x) an f (x) in particular, (g f) (x 0 ) shoul

More information

Chapter 1 Overview: Review of Derivatives

Chapter 1 Overview: Review of Derivatives Chapter Overview: Review of Derivatives The purpose of this chapter is to review the how of ifferentiation. We will review all the erivative rules learne last year in PreCalculus. In the net several chapters,

More information

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function The normal way we see function notation has f () on one sie of an equation an an epression in terms of on the other sie. We know the

More information

Table of Contents Derivatives of Logarithms

Table of Contents Derivatives of Logarithms Derivatives of Logarithms- Table of Contents Derivatives of Logarithms Arithmetic Properties of Logarithms Derivatives of Logarithms Example Example 2 Example 3 Example 4 Logarithmic Differentiation Example

More information

CHAPTER 4. INTEGRATION 68. Previously, we chose an antiderivative which is correct for the given integrand 1/x 2. However, 6= 1 dx x x 2 if x =0.

CHAPTER 4. INTEGRATION 68. Previously, we chose an antiderivative which is correct for the given integrand 1/x 2. However, 6= 1 dx x x 2 if x =0. CHAPTER 4. INTEGRATION 68 Previously, we chose an antierivative which is correct for the given integran /. However, recall 6 if 0. That is F 0 () f() oesn t hol for apple apple. We have to be sure the

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Formulas From Calculus

Formulas From Calculus Formulas You Shoul Memorize (an I o mean Memorize!) S 997 Pat Rossi Formulas From Calculus. [sin ()] = cos () 2. [cos ()] = sin () 3. [tan ()] = sec2 () 4. [cot ()] = csc2 () 5. [sec ()] = sec () tan ()

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

1 Lecture 20: Implicit differentiation

1 Lecture 20: Implicit differentiation Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation

More information

Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10

Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 1 of 10 This is a set of practice test problems for Chapter 4. This is in no way an inclusive set of problems there can be other types of problems

More information

Section 2.1 The Derivative and the Tangent Line Problem

Section 2.1 The Derivative and the Tangent Line Problem Chapter 2 Differentiation Course Number Section 2.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information

Chapter 2 Derivatives

Chapter 2 Derivatives Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,

More information

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides

Make graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides Reference 1: Transformations of Graphs an En Behavior of Polynomial Graphs Transformations of graphs aitive constant constant on the outsie g(x) = + c Make graph of g by aing c to the y-values on the graph

More information

Implicit Differentiation. Lecture 16.

Implicit Differentiation. Lecture 16. Implicit Differentiation. Lecture 16. We are use to working only with functions that are efine explicitly. That is, ones like f(x) = 5x 3 + 7x x 2 + 1 or s(t) = e t5 3, in which the function is escribe

More information

Differentiation ( , 9.5)

Differentiation ( , 9.5) Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Implicit Differentiation Using the Chain Rule In the previous section we focuse on the erivatives of composites an saw that THEOREM 20 (Chain Rule) Suppose that u = g(x) is ifferentiable

More information

f(x) f(a) Limit definition of the at a point in slope notation.

f(x) f(a) Limit definition of the at a point in slope notation. Lesson 9: Orinary Derivatives Review Hanout Reference: Brigg s Calculus: Early Transcenentals, Secon Eition Topics: Chapter 3: Derivatives, p. 126-235 Definition. Limit Definition of Derivatives at a point

More information

Derivatives and the Product Rule

Derivatives and the Product Rule Derivatives an the Prouct Rule James K. Peterson Department of Biological Sciences an Department of Mathematical Sciences Clemson University January 28, 2014 Outline Differentiability Simple Derivatives

More information

18.01 Single Variable Calculus Fall 2006

18.01 Single Variable Calculus Fall 2006 MIT OpenCourseWare http://ocw.mit.eu 8.0 Single Variable Calculus Fall 2006 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.eu/terms. Lecture 8.0 Fall 2006 Unit

More information

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then

Derivative of a Constant Multiple of a Function Theorem: If f is a differentiable function and if c is a constant, then Bob Brown Math 51 Calculus 1 Chapter 3, Section Complete 1 Review of the Limit Definition of the Derivative Write the it efinition of the erivative function: f () Derivative of a Constant Multiple of a

More information

Breakout Session 13 Solutions

Breakout Session 13 Solutions Problem True or False: If f = 2, then f = 2 False Any time that you have a function of raise to a function of, in orer to compute the erivative you nee to use logarithmic ifferentiation or something equivalent

More information

Exam 2 Answers Math , Fall log x dx = x log x x + C. log u du = 1 3

Exam 2 Answers Math , Fall log x dx = x log x x + C. log u du = 1 3 Exam Answers Math -, Fall 7. Show, using any metho you like, that log x = x log x x + C. Answer: (x log x x+c) = x x + log x + = log x. Thus log x = x log x x+c.. Compute these. Remember to put boxes aroun

More information

WJEC Core 2 Integration. Section 1: Introduction to integration

WJEC Core 2 Integration. Section 1: Introduction to integration WJEC Core Integration Section : Introuction to integration Notes an Eamples These notes contain subsections on: Reversing ifferentiation The rule for integrating n Fining the arbitrary constant Reversing

More information

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9

Calculus I Practice Test Problems for Chapter 3 Page 1 of 9 Calculus I Practice Test Problems for Chapter 3 Page of 9 This is a set of practice test problems for Chapter 3. This is in no wa an inclusive set of problems there can be other tpes of problems on the

More information

CHAPTER 3 DERIVATIVES (continued)

CHAPTER 3 DERIVATIVES (continued) CHAPTER 3 DERIVATIVES (continue) 3.3. RULES FOR DIFFERENTIATION A. The erivative of a constant is zero: [c] = 0 B. The Power Rule: [n ] = n (n-1) C. The Constant Multiple Rule: [c *f()] = c * f () D. The

More information

Derivatives of Constant and Linear Functions

Derivatives of Constant and Linear Functions These notes closely follow the presentation of the material given in James Stewart s textbook Calculus, Concepts an Contexts (2n eition). These notes are intene primarily for in-class presentation an shoul

More information

Logarithmic, Exponential and Other Transcendental Functions

Logarithmic, Exponential and Other Transcendental Functions Logarithmic, Eponential an Other Transcenental Fnctions 5: The Natral Logarithmic Fnction: Differentiation The Definition First, yo mst know the real efinition of the natral logarithm: ln= t (where > 0)

More information

Rules of Differentiation. Lecture 12. Product and Quotient Rules.

Rules of Differentiation. Lecture 12. Product and Quotient Rules. Rules of Differentiation. Lecture 12. Prouct an Quotient Rules. We warne earlier that we can not calculate the erivative of a prouct as the prouct of the erivatives. It is easy to see that this is so.

More information

Inverse Trig Functions

Inverse Trig Functions Inverse Trig Functions -8-006 If you restrict fx) = sinx to the interval π x π, the function increases: y = sin x - / / This implies that the function is one-to-one, an hence it has an inverse. The inverse

More information

x 2 2x 8 (x 4)(x + 2)

x 2 2x 8 (x 4)(x + 2) Problems With Notation Mathematical notation is very precise. This contrasts with both oral communication an some written English. Correct mathematical notation: x 2 2x 8 (x 4)(x + 2) lim x 4 = lim x 4

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

First Order Linear Differential Equations

First Order Linear Differential Equations LECTURE 8 First Orer Linear Differential Equations We now turn our attention to the problem of constructing analytic solutions of ifferential equations; that is to say,solutions that can be epresse in

More information