The Explicit Form of a Function

Size: px
Start display at page:

Download "The Explicit Form of a Function"

Transcription

1 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 of the equation. We know the equation represents a function because the f () notation eplicitly states that the epression in terms of represents a function. This form is calle the eplicit form. Eample 1 Eample 2 f () = f () = sin The Implicit Form of a Function Some functions are only implie by an equation. In this case, there is not an f () epression on one sie of the equation. The an y variables can appear on either sie of the equation an can also be in the same term. This form is calle the Implicit Form of a Relation. Eample 1 Eample 2 y = 6 y +1 2 = 6 You CANNOT conclue the relation is a function. One way to etermine if the relation is a function is to try an solve for y to get the epression in Eplicit Form. Eample 1 Eample 2 y =1 solve for y y = 1 This is the graph of an inverse relation so the relation is a function f () = 1 y +1 2 = 6 solve for y y = This is the graph of a parabola so the relation is a function f () = Many equations state in implicit form are functions but it may be ifficult to solve for y. In this case you may not know if the relation is a function unless you can analyze the graph of the relation. For the purposes of this unit we o not nee to etermine if the relation is a function. We will keep each equation in Implicit Form an fin ways to ifferentiate the epression irectly form itʼs implicit form. Math Page 1 of Eitel

2 To unerstan how to fin y Implicit Differentiation implicitly we must review what taking the erivative with respect to means. When you ifferentiate with respect to you o not nee to use the chain rule. This is because the factor in the chain rule is equal to 1. When you ifferentiate y with respect to the chain rule has a factor that remains The erivative of with respect to is 1 = ( ) =1 The erivative of y with respect to is ( y) = y = The Chain Rule for the erivative of u n with respect to u u un = n u n 1 u The Chain Rlue for the eriavtive of 3 with respect to 3 = 3 2 = =1 3 = 3 The Chain Rlue for the eriavtive of y 3 with respect to y3 = 3 y 3 y = y3 = 3 y 2 Math Page 2 of Eitel

3 Many equations are not functions an cannot be states in eplicit form as y = f() Some functions are too ifficult to solve for y. In either case these relations are state in implicit form. To ifferentiate these functions we use Implicit ifferentiation. Implicit ifferentiation. Step 1: Differentiate both sie of the equation with respect to. Step 2: Move all terms with a factor tn the left sie of the equation an move the remining terms to the left sie. Step 3: Factor out the common factor from each term on the left sie. Step 4: Solve for by iviing by the epression in the left that is multiplie by Eample 1 Fin y given y 4 3y = Differerentiate both sies of the equation with respect to 4u u factor out the = y 3 3 sovle for y 3 3 Fin the slope of the tangent line at (0,0) at (0,0) is 2(0) (0) 3 3 = 3 5 Math Page 3 of Eitel

4 Eample 2 Fin y given y 2y 3 = 2 3 Differerentiate both sies of the equation with respect to the 67 first 8 er 67 of 8 sec 6 the 7 sec 8 + y er 67 of 8 first 1 2y y 2y get all the terms on one sie 2y y factor out a = 6 2 y 2y 2 sovle for 62 y 2y 2 Math Page 4 of Eitel

5 Fining the slope of the line tangent to the graph at a point (, y ) The implicit equation may not be a function. You cannot assume that every value has eactly 1 y value. For this reason both the an y values must be given when the slope is require. Plug the values of an y into the epression for to fin the slope of the line tangent to the graph of the relation at a given point (,y) Given the ellipse ( 1, 2 ) 2 + 4y 2 =17 when = 1 the value(s) for y are y = ±2 ( 1, 2 ) both (1,2) an (1, 2) are points on the graph Eample 3 Fin the slope of the tangent line fo 2 + 4y 2 =17 at the point ( 1,2 ) Differerentiate both sies of the equation with respect to 2 + 8y 0 get all the terms alone on one sie 8y 2 sovle for 2 8y = 4y is The slope of the tangent line at the point 1,2 4y = 1 8 Math Page 5 of Eitel

6 Fining the equation of the line tangent to the graph at a point (, y ) The equation of the line tangent to the graph at the point 1, y 1 is given by the equation y y 1 = m( ( 1 ) where m is the slope of the tangent line an m is the value of at 1, y 1 Given the ellipse 2 + 2y 2 =11 the point ( 3, 1) is a point on the graph ( 3, 1 ) Eample 4 Fin the slope of the tangent line fo 2 + 2y 2 =11 at the point ( 3, 1 ) Differerentiate both sies of the equation with respect to 2 + 4y 0 get all the terms alone on one sie 4y 2 sovle for 2 4y = 2y is The slope of the tangent line at the point 3, 1 4y = ( 3) 4( 1) = 3 4 The equation of the tangent line at the point ( 3, 1 ) is y +1 = ) Math Page 6 of Eitel

7 Logarithmic Differentiation If y = f () where f () > 0 then you can take the natural logarithm of both sies of the equation ln(y) = ln f () This allows us to use the properties of logs to simplify the epression for f (). The properties of logs change proucts into sums, fractions into ifferences an powers into proucts. After we simplify the logarithmic epression we can then ifferentiate implicitly. Eample 1 Fin if y = ( 4) 5 take the natural log of both sies of the equation ln (y) = ln ( 4 ) 5 ln (y) = ln() + 5ln ( 4 ) take the erivative of both sies of the equation y = simplify (a the fractions) y = 6 4 ( 4) multiply both sies by y 6 4 y ( 4) substitute y = ( 4) 5 in for y ( 4) ( 4) 4 ( 6 4) Math Page 7 of Eitel

8 Fin if y = Eample 2 3 take the natural log of both sies of the equation ln (y) = ln 3 ln (y) = ln() ln ( 3) take the erivative of both sies of the equation y = simplify (a the fractions) y = 3 ( 3) multiply both sies by y 3 y ( 3) substitute y = ( 3) in for y ( 3) 2 Math Page 8 of Eitel

9 Fin if y = Eample 3 take the natural log of both sies of the equation ln (y) = ln ln (y) = 2ln() ln ( + 2) take the erivative of both sies of the equation y = simplify (a the fractions) y = + 4 ( + 2) multiply both sies by y + 4 y ( + 2) substitute y = 2 in for y ( + 2) Math Page 9 of Eitel

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

IMPLICIT DIFFERENTIATION

IMPLICIT DIFFERENTIATION Mathematics Revision Guies Implicit Differentiation Page 1 of Author: Mark Kulowski MK HOME TUITION Mathematics Revision Guies Level: AS / A Level AQA : C4 Eecel: C4 OCR: C4 OCR MEI: C3 IMPLICIT DIFFERENTIATION

More information

23 Implicit differentiation

23 Implicit differentiation 23 Implicit ifferentiation 23.1 Statement The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x an y. If a value of x is given, then a corresponing value of y is etermine. For

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

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

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

dx dx [x2 + y 2 ] = y d [tan x] + tan x = 2x + 2y = y sec 2 x + tan x dy dy = tan x dy dy = [tan x 2y] dy dx = 2x y sec2 x [1 + sin y] = sin(xy)

dx dx [x2 + y 2 ] = y d [tan x] + tan x = 2x + 2y = y sec 2 x + tan x dy dy = tan x dy dy = [tan x 2y] dy dx = 2x y sec2 x [1 + sin y] = sin(xy) Math 7 Activit: Implicit & Logarithmic Differentiation (Solutions) Implicit Differentiation. For each of the following equations, etermine x. a. tan x = x 2 + 2 tan x] = x x x2 + 2 ] = tan x] + tan x =

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

DT7: Implicit Differentiation

DT7: Implicit Differentiation Differentiation Techniques 7: Implicit Differentiation 143 DT7: Implicit Differentiation Moel 1: Solving for y Most of the functions we have seen in this course are like those in Table 1 (an the first

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

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

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

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

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

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

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

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

( 3x +1) 2 does not fit the requirement of the power rule that the base be x

( 3x +1) 2 does not fit the requirement of the power rule that the base be x Section 3 4A: The Chain Rule Introuction The Power Rule is state as an x raise to a real number If y = x n where n is a real number then y = n x n-1 What if we wante to fin the erivative of a variable

More information

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1 We consier ifferential equations of the form y + a()y = b(), (1) y( 0 ) = y 0, where a() an b() are functions. Observe that this class of equations inclues equations

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

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

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

The derivative of a constant function is 0. That is,

The derivative of a constant function is 0. That is, NOTES 3: DIFFERENTIATION RULES Name: Date: Perio: LESSON 3. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Eample : Prove f ( ) 6 is not ifferentiable at 4. Practice Problems: Fin f '( ) using the

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

The derivative of a constant function is 0. That is,

The derivative of a constant function is 0. That is, NOTES : DIFFERENTIATION RULES Name: LESSON. DERIVATIVE OF POLYNOMIALS AND EXPONENTIAL FUNCTIONS Date: Perio: Mrs. Nguyen s Initial: Eample : Prove f ( ) 4 is not ifferentiable at. Practice Problems: Fin

More information

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like Math 400 3.5 Implicit Differentiation Name We have iscovere (an prove) formulas for fining erivatives of functions like f x x 3x 4x. 3 This amounts to fining y for 3 y x 3x 4x. Notice that in this case,

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

Implicit Differentiation and Inverse Trigonometric Functions

Implicit Differentiation and Inverse Trigonometric Functions Implicit Differentiation an Inverse Trigonometric Functions MATH 161 Calculus I J. Robert Buchanan Department of Mathematics Summer 2018 Explicit vs. Implicit Functions 0.5 1 y 0.0 y 2 0.5 3 4 1.0 0.5

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

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

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

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

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

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

3.6. Implicit Differentiation. Implicitly Defined Functions

3.6. Implicit Differentiation. Implicitly Defined Functions 3.6 Implicit Differentiation 205 3.6 Implicit Differentiation 5 2 25 2 25 2 0 5 (3, ) Slope 3 FIGURE 3.36 The circle combines the graphs of two functions. The graph of 2 is the lower semicircle an passes

More information

Solutions to Math 41 Second Exam November 4, 2010

Solutions to Math 41 Second Exam November 4, 2010 Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of

More information

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review)

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review) Name Date Miterm Score Overall Grae Math A Miterm 2 Fall 205 Riversie City College (Use this as a Review) Instructions: All work is to be shown, legible, simplifie an answers are to be boxe in the space

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

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

Math 210 Midterm #1 Review

Math 210 Midterm #1 Review Math 20 Miterm # Review This ocument is intene to be a rough outline of what you are expecte to have learne an retaine from this course to be prepare for the first miterm. : Functions Definition: A function

More information

MATH2231-Differentiation (2)

MATH2231-Differentiation (2) -Differentiation () The Beginnings of Calculus The prime occasion from which arose my iscovery of the metho of the Characteristic Triangle, an other things of the same sort, happene at a time when I ha

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

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

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

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

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

Chapter 2 The Derivative Business Calculus 155

Chapter 2 The Derivative Business Calculus 155 Chapter The Derivative Business Calculus 155 Section 11: Implicit Differentiation an Relate Rates In our work up until now, the functions we neee to ifferentiate were either given explicitly, x such as

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

Trigonometric Functions

Trigonometric Functions 72 Chapter 4 Trigonometric Functions 4 Trigonometric Functions To efine the raian measurement system, we consier the unit circle in the y-plane: (cos,) A y (,0) B So far we have use only algebraic functions

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

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

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

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

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x) Derivative Rules Using te efinition of te erivative of a function is quite teious. Let s prove some sortcuts tat we can use. Recall tat te efinition of erivative is: Given any number x for wic te limit

More information

Define each term or concept.

Define each term or concept. Chapter Differentiation Course Number Section.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

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

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

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

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

Chapter 3 Notes, Applied Calculus, Tan

Chapter 3 Notes, Applied Calculus, Tan Contents 3.1 Basic Rules of Differentiation.............................. 2 3.2 The Prouct an Quotient Rules............................ 6 3.3 The Chain Rule...................................... 9 3.4

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

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

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

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

016A Homework 10 Solution

016A Homework 10 Solution 016A Homework 10 Solution Jae-young Park November 2, 2008 4.1 #14 Write each expression in the form of 2 kx or 3 kx, for a suitable constant k; (3 x 3 x/5 ) 5, (16 1/4 16 3/4 ) 3x Solution (3 x 3 x/5 )

More information

Section 3.1/3.2: Rules of Differentiation

Section 3.1/3.2: Rules of Differentiation : Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf

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

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

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

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12 NAME DATE PERIOD AP CALCULUS AB UNIT ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT 0 0 0/6 0/8 0/9 0/0 X X X X 0/ 0/ 0/5 0/6 QUIZ X X X 0/7 0/8 0/9 0/ 0/ 0/ 0/5 UNIT EXAM X X X TOTAL AP Calculus

More information

( 3, 4) means x = 3 and y = 4

( 3, 4) means x = 3 and y = 4 11 2B: Solving a System of Linear Equations by Graphing What is a system of Linear Equations? A system of linear equations is a list of two linear equations that each represents the graph of a line. y

More information

IMPLICIT DIFFERENTIATION

IMPLICIT DIFFERENTIATION IMPLICIT DIFFERENTIATION Section.5 Calculus AP/Dual, Revised 017 viet.dang@humbleisd.net 7/30/018 1:47 AM.5: Implicit Differentiation 1 REVIEW Solve or d of 4 + 3 = 6 4 3 6 4 3 6 4 3 4 ' 3 3 7/30/018 1:47

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

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

(x,y) 4. Calculus I: Differentiation

(x,y) 4. Calculus I: Differentiation 4. Calculus I: Differentiation 4. The eriatie of a function Suppose we are gien a cure with a point lying on it. If the cure is smooth at then we can fin a unique tangent to the cure at : If the tangent

More information

The Natural Logarithm

The Natural Logarithm The Natural Logarithm -28-208 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

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

18 EVEN MORE CALCULUS

18 EVEN MORE CALCULUS 8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;

More information

23. Implicit differentiation

23. Implicit differentiation 23. 23.1. The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x and y. If a value of x is given, then a corresponding value of y is determined. For instance, if x = 1, then y

More information

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes Implicit Differentiation 11.7 Introuction This Section introuces implicit ifferentiation which is use to ifferentiate functions expresse in implicit form (where the variables are foun together). Examples

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

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS THE DERIVATIVE AS A FUNCTION f x = lim h 0 f x + h f(x) h Last class we examine the limit of the ifference quotient at a specific x as h 0,

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

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

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

Name: Date: Period: Calculus Honors: 4-2 The Product Rule

Name: Date: Period: Calculus Honors: 4-2 The Product Rule Name: Date: Period: Calculus Honors: 4- The Product Rule Warm Up: 1. Factor and simplify. 9 10 0 5 5 10 5 5. Find ' f if f How did you go about finding the derivative? Let s Eplore how to differentiate

More information

Implicit Differentiation and Related Rates

Implicit Differentiation and Related Rates Implicit Differentiation an Relate Rates Up until now ou have been fining the erivatives of functions that have alrea been solve for their epenent variable. However, there are some functions that cannot

More information

2.5 SOME APPLICATIONS OF THE CHAIN RULE

2.5 SOME APPLICATIONS OF THE CHAIN RULE 2.5 SOME APPLICATIONS OF THE CHAIN RULE The Chain Rule will help us etermine the erivatives of logarithms an exponential functions a x. We will also use it to answer some applie questions an to fin slopes

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

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following.

AP Calculus AB One Last Mega Review Packet of Stuff. Take the derivative of the following. 1.) 3.) 5.) 7.) Determine the limit of the following. AP Calculus AB One Last Mega Review Packet of Stuff Name: Date: Block: Take the erivative of the following. 1.) x (sin (5x)).) x (etan(x) ) 3.) x (sin 1 ( x3 )) 4.) x (x3 5x) 4 5.) x ( ex sin(x) ) 6.)

More information

MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of Trigonometric Functions Critical Points

MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of Trigonometric Functions Critical Points MA4001 Engineering Mathematics 1 Lecture 14 Derivatives of Trigonometric Functions Critical Points Dr. Sarah Mitchell Autumn 2014 An important limit To calculate the limits of basic trigonometric functions

More information

by using the derivative rules. o Building blocks: d

by using the derivative rules. o Building blocks: d Calculus for Business an Social Sciences - Prof D Yuen Eam Review version /9/01 Check website for any poste typos an upates Eam is on Sections, 5, 6,, 1,, Derivatives Rules Know how to fin the formula

More information

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics. MATH A Test #2. June 25, 2014 SOLUTIONS

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics. MATH A Test #2. June 25, 2014 SOLUTIONS YORK UNIVERSITY Faculty of Science Department of Mathematics an Statistics MATH 505 6.00 A Test # June 5, 04 SOLUTIONS Family Name (print): Given Name: Stuent No: Signature: INSTRUCTIONS:. Please write

More information

1. Compute the derivatives of the following functions, by any means necessary. f (x) = (1 x3 )(1/2)(x 2 1) 1/2 (2x) x 2 1( 3x 2 ) (1 x 3 ) 2

1. Compute the derivatives of the following functions, by any means necessary. f (x) = (1 x3 )(1/2)(x 2 1) 1/2 (2x) x 2 1( 3x 2 ) (1 x 3 ) 2 Math 51 Exam Nov. 4, 009 SOLUTIONS Directions 1. SHOW YOUR WORK and be thorough in your solutions. Partial credit will only be given for work shown.. Any numerical answers should be left in exact form,

More information

Chapter Primer on Differentiation

Chapter Primer on Differentiation Capter 0.01 Primer on Differentiation After reaing tis capter, you soul be able to: 1. unerstan te basics of ifferentiation,. relate te slopes of te secant line an tangent line to te erivative of a function,.

More information

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

does NOT exist. WHAT IF THE NUMBER X APPROACHES CANNOT BE PLUGGED INTO F(X)?????? MATH 000 Miterm Review.3 Te it of a function f ( ) L Tis means tat in a given function, f(), as APPROACHES c, a constant, it will equal te value L. Tis is c only true if f( ) f( ) L. Tat means if te verticle

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

M151B Practice Problems for Exam 1

M151B Practice Problems for Exam 1 M151B Practice Problems for Eam 1 Calculators will not be allowed on the eam. Unjustified answers will not receive credit. 1. Compute each of the following its: 1a. 1b. 1c. 1d. 1e. 1 3 4. 3. sin 7 0. +

More information

Math 251 Notes. Part I.

Math 251 Notes. Part I. Math 251 Notes. Part I. F. Patricia Meina May 6, 2013 Growth Moel.Consumer price inex. [Problem 20, page 172] The U.S. consumer price inex (CPI) measures the cost of living base on a value of 100 in the

More information

Differentiability, Computing Derivatives, Trig Review. Goals:

Differentiability, Computing Derivatives, Trig Review. Goals: Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an

More information

Further Differentiation and Applications

Further Differentiation and Applications Avance Higher Notes (Unit ) Prerequisites: Inverse function property; prouct, quotient an chain rules; inflexion points. Maths Applications: Concavity; ifferentiability. Real-Worl Applications: Particle

More information