Implicit Differentiation and Related Rates

Size: px
Start display at page:

Download "Implicit Differentiation and Related Rates"

Transcription

1 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 be easil solve for the epenent variable so we nee to have a wa of still fining the erivative. This process is calle implicit ifferentiation. Fining the erivative of a function b implicit ifferentiation uses the same erivative formulas that were covere earlier. The important part to remember is that when ou take the erivative of the epenent variable ou must inclue the erivative notation /x or in the erivative. The notation that is use epens on which is easier for ou. Let s take the function + 3x as an example. This function can easil be solve for the epenent variable, but lets look at how implicit ifferentiation works. The first term is the prouct of an so we woul appl the prouct rule. First we woul take the erivative of each term an then substitute into the prouct rule. ( x) ( ) or x x x x ( x) ( x)( ) + ( )() x + Taking the erivatives of 3x an woul be one in the same manner as before. So the implicit erivative woul be: + 3x ( x) + (3 x) () x x x Now we can solve for Geral Manahan SLAC, San Antonio College, 008

2 Therefore, the steps involve in using implicit ifferentiation to fin /x are:. Differentiate each term on both sies of the equals sign with respect to the inepenent variable x. When taking the erivative of the epenent variable on t forget to inclue /x or in the erivative.. Solve for /x or b grouping onl the terms with /x or on one sie of the equals sign 3. Factor out /x or 4. Divie to isolate /x or Let s look at a few examples. Example : Fin the erivative of x 3 + 4x using implicit ifferentiation. Solution: Step : Differentiate each term on both sies of the equals sign + 3 x 4x x x x 3 ( x ) + ( 4x) ( ) Appl prouct rule to both terms on the left x x x x 3 3 ( x ) ( ) + ( ) ( x ) + ( 4x) ( ) + ( ) ( 4x) Appl the chain rule x x 3 ( x ) ( 3)( ) + ( ) + ( 4x) ( ) + ( ) ( ) Step : Group all terms with /x on one sie + x + x + x x 3x + 4x x x x x Step 3: Factor /x x ( ) 3x + 4x Geral Manahan SLAC, San Antonio College, 008

3 Example (Continue): Step 4: Divie to isolate /x 3 4 x 3x + 4x Example : Fin the erivative of x 3 6x using implicit ifferentiation. Solution: Step : Differentiate each term on both sies of the equals sign 4+ 5x x 3 x 6x We can simplif the right sie b using the properties of exponents x 6 x 3 x ( x) Appl quotient rule to the left sie an the generalize power rule to the right sie 4+ 5x ( 6x) x 3 x x x x x x ( 3) ( 4+ 5x) ( 4+ 5x) ( 3) ( 3) x x ( ) ( x) ( 3) ( )( 6 ) ( 6 ) ( )( 6x) ( 6) In this example we will replace the /x notation with ( 3)( 4 + 5) ( 4+ 5x)( 3 ) ( 3) ( )( 6x) ( 6) Geral Manahan SLAC, San Antonio College, 008 3

4 Example (Continue): Step : Group all terms with on one sie ( 3)( 4 + 5) ( 4+ 5x)( 3 ) ( )( 6x) ( 6) ( 3) ( ) ( 5x ) 6 ( 3) ( 6x) x 6 ( 3) ( 3) x 6 ( ) ( ) x x Step 3: Factor ( ) x ( ) ( 4+ 5x) + Step 4: Divie to isolate ( ) x ( ) x ( ) x ( ) ( 4 + 5x) We can also fin the equation of a tangent line at a given point using implicit ifferentiation. The steps involve in o this are:. Fin the erivative using implicit ifferentiation. If both the x an coorinates are not known fin the missing coorinate 3. Substitute the x an coorinates into the erivative to fin the slope of the tangent line 4. Fin the equation of the tangent line using the point-slope formula Geral Manahan SLAC, San Antonio College, 008 4

5 x Example 3: Fin the equation of the tangent line when x 4 for the curve + 3. Solution: Step : Fin the erivative using implicit ifferentiation x + 3 x x x x x x 0 ( ) ( 3) x 0 x 0 x 0 + x 0 + x ( + x ) + x ( ) + x Geral Manahan SLAC, San Antonio College, 008 5

6 Example 3 (Continue): Step : Fin an missing coorinates. In this problem we know the value for x but not. So we must fin the corresponing value when x. + x or 0 ( )( ) Step 3: Fin slope of tangent line x 4, x 4, 4 4 () + ( ) + 8 ()( ) x + x x + x 4 4 ( ) + ( ) + 8 ( )( ) Geral Manahan SLAC, San Antonio College, 008 6

7 Example 3 (Continue): Step 4: Fin the equation of the tangent lines x 4,, / ( ) m x x 4 x 3 ( x ) x + 3 x+ 3 x 4,, /8 ( ) m x x 4 8 x 8 x x+ 8 ( x ) Another application for implicit ifferentiation is the topic of relate rates. Relate rates are use to etermine the rate at which a variable is changing with respect to time. We use the concept of implicit ifferentiation because time is not usuall a variable in the equation. For example, if we were aske to etermine the rate at which the area of a square is changing then implicit ifferentiation must be use because the equation for the area of a square onl contains the variables for the length, with, an area. Time is not a variable in the equation so the onl wa to etermine the rate at which the area is changing (A/t) is to take the erivative implicitl. Geral Manahan SLAC, San Antonio College, 008 7

8 The steps involve in solving a relate rates problem can be summarize as:. Ientif all given information an what we must fin.. Draw a sketch if it is possible 3. Determine the equation that relates the variables 4. Fin the erivative using implicit ifferentiation 5. Solve the erivative for the unknown rate 6. Substitute in the given information an solve Example 4: A 50-ft laer is place against a builing. The top of the laer is sliing own the builing at the rate of ft/min. Fin the rate at which the base of the laer is moving awa from the builing at the instant that the base is 30 ft from the builing. Solution: Step : Ientif all given information an what we must fin Length of laer (c) 50 ft Initial height of laer (a)? Rate laer is sliing own (a/t) - ft/min* Distance of base from builing (b) 30 ft Rate base is moving awa (b/t)? * The rate the laer is sliing own is shown as a negative value to inicate the irection in which the top of the laer is moving. Step : Draw a sketch Geral Manahan SLAC, San Antonio College, 008 8

9 Example 4 (Continue): Step 3: Determine the equation that relates the variables In this problem are variables are the sies the triangle forme b the laer (c), the builing (a), an the groun (b). An equation that woul relate these three variables is the Pthagorean theorem, a + b c. Step 4: Fin the erivative using implicit ifferentiation a + b c t t a b c a + b c t t t ( a + b ) ( c ) Step 5: Solve the erivative for the unknown rate a b c a + b c t t t b c a b c a t t t c a c a b t t t b Step 6: Substitute in the given information an solve Since c represents the length of the laer an the length is not going to change the relate rate c/t woul be equal to zero. Also we o not know the value of a so we must fin it first before fining b/t. a a a + b c ( 30) ( 50) a 600 a 600 a 40 Geral Manahan SLAC, San Antonio College, 008 9

10 Example 4 (Continue): Now we can solve for b/t. c a c a b t t t b ( )( ) ( )( ) 30 ( ) b/t is approximatel equal to.67 ft/min. Example 5: A rock is thrown into a still pon. The circular ripples move outwar from the point of impact of the rock so that the raius of the circle forme b a ripple increases at the rate of ft per minute. Fin the rate at which the area is changing at the instant the raius is 4 ft. Solution: Step : Ientif all given information an what we must fin Rate the raius is changing (r/t) ft/min Raius (r) 4 ft Rate the area of the circle is changing (A/t)? Step : Draw a sketch Step 3: Determine the equation that relates the variables In this example we are ealing with the area of a circle, therefore the equation that we will use woul be A Π r Geral Manahan SLAC, San Antonio College, 008 0

11 Example 5 (Continue): Step 4: Fin the erivative using implicit ifferentiation t A π r ( A) ( π r ) t A r π r t t Step 5: Solve the erivative for the unknown rate The erivative is alrea solve for the unknown rate so we can go to the next step. Step 6: Substitute in the given information an solve A r π r t t π 4 ( )( ) 6π A/t is approximatel equal to 50.3 ft/min. Example 6: The revenue function for a compan is 60x -.5x an its cost function is 8x +, where x is the ail prouction an sales. If the ail prouction is currentl 0 units an the rate of change for prouction is 6 units per a, fin the rate at which the compan s profit is changing. Solution: Step : Ientif all given information an what we must fin Revenue function R(x) 60x -.5x Cost function C(x) 8x + x 0 x/t 6 Profit function? P/t? Geral Manahan SLAC, San Antonio College, 008

12 Example 6 (Continue): Step : Draw a sketch when it is possible With this tpe of problem a sketch is not use. Step 3: Determine the equation that relates the variables Since we nee to fin the rate at which the profit is changing we nee to fin the Profit function. The profit function woul be equal to the ifference between the revenue an cost functions. P(x) R(x) C(x) 60x -.5x (8x + ) 60x -.5x 8x -.5x + 5 Step 4: Fin the erivative using implicit ifferentiation P x + x.5 5 P x + x t t P x x x t t t P x x x + 5 t t t (.5 5 ) Step 5: Solve the erivative for the unknown rate The equation is alrea solve for P/t. Step 6: Substitute in the given information an solve P x x x + 5 t t t + ( 0)( 6) 5( 6) Geral Manahan SLAC, San Antonio College, 008

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

Related Rates. Introduction

Related Rates. Introduction Relate Rates Introuction We are familiar with a variet of mathematical or quantitative relationships, especiall geometric ones For eample, for the sies of a right triangle we have a 2 + b 2 = c 2 or the

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 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

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

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

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

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

Related Rates. Introduction. We are familiar with a variety of mathematical or quantitative relationships, especially geometric ones.

Related Rates. Introduction. We are familiar with a variety of mathematical or quantitative relationships, especially geometric ones. Relate Rates Introuction We are familiar with a variety of mathematical or quantitative relationships, especially geometric ones For example, for the sies of a right triangle we have a 2 + b 2 = c 2 or

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

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

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

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

( ) ( ) ( ) PAL Session Stewart 3.1 & 3.2 Spring 2010

( ) ( ) ( ) PAL Session Stewart 3.1 & 3.2 Spring 2010 PAL Session Stewart 3. & 3. Spring 00 3. Key Terms/Concepts: Derivative of a Constant Function Power Rule Constant Multiple Rule n Sum/Difference Rule ( ) Eercise #0 p. 8 Differentiate the function. f()

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

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

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

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

Short Intro to Coordinate Transformation

Short Intro to Coordinate Transformation Short Intro to Coorinate Transformation 1 A Vector A vector can basically be seen as an arrow in space pointing in a specific irection with a specific length. The following problem arises: How o we represent

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

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

1 Definition of the derivative

1 Definition of the derivative Math 20A - Calculus by Jon Rogawski Chapter 3 - Differentiation Prepare by Jason Gais Definition of the erivative Remark.. Recall our iscussion of tangent lines from way back. We now rephrase this in terms

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

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

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

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

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Physics Courseware Electromagnetism

Physics Courseware Electromagnetism Phsics Courseware Electromagnetism Electric potential Problem.- a) Fin the electric potential at points P, P an P prouce b the three charges Q, Q an Q. b) Are there an points where the electric potential

More information

1 Lecture 18: The chain rule

1 Lecture 18: The chain rule 1 Lecture 18: The chain rule 1.1 Outline Comparing the graphs of sin(x) an sin(2x). The chain rule. The erivative of a x. Some examples. 1.2 Comparing the graphs of sin(x) an sin(2x) We graph f(x) = sin(x)

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Equations of lines in

Equations of lines in Roberto s Notes on Linear Algebra Chapter 6: Lines, planes an other straight objects Section 1 Equations of lines in What ou nee to know alrea: The ot prouct. The corresponence between equations an graphs.

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

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

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

3.6 Implicit Differentiation. explicit representation of a function rule. y = f(x) y = f (x) e.g. y = (x 2 + 1) 3 y = 3(x 2 + 1) 2 (2x)

3.6 Implicit Differentiation. explicit representation of a function rule. y = f(x) y = f (x) e.g. y = (x 2 + 1) 3 y = 3(x 2 + 1) 2 (2x) Mathematics 0110a Summar Notes page 43 3.6 Implicit Differentiation eplicit representation of a function rule = f() = f () e.g. = ( + 1) 3 = 3( + 1) () implicit representation of a function rule f(, )

More information

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Metho Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Computing Inverse Trig Derivatives. Starting with the inverse

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

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

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

Antiderivatives and Indefinite Integration

Antiderivatives and Indefinite Integration 60_00.q //0 : PM Page 8 8 CHAPTER Integration Section. EXPLORATION Fining Antierivatives For each erivative, escribe the original function F. a. F b. F c. F. F e. F f. F cos What strateg i ou use to fin

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

Topic 2.3: The Geometry of Derivatives of Vector Functions

Topic 2.3: The Geometry of Derivatives of Vector Functions BSU Math 275 Notes Topic 2.3: The Geometry of Derivatives of Vector Functions Textbook Sections: 13.2 From the Toolbox (what you nee from previous classes): Be able to compute erivatives scalar-value functions

More information

IB Math High Level Year 2 Calc Differentiation Practice IB Practice - Calculus - Differentiation (V2 Legacy)

IB Math High Level Year 2 Calc Differentiation Practice IB Practice - Calculus - Differentiation (V2 Legacy) IB Math High Level Year Calc Differentiation Practice IB Practice - Calculus - Differentiation (V Legac). If =, fin the two values of when = 5. Answer:.. (Total marks). Differentiate = arccos ( ) with

More information

Chapter 1. Functions, Graphs, and Limits

Chapter 1. Functions, Graphs, and Limits Review for Final Exam Lecturer: Sangwook Kim Office : Science & Tech I, 226D math.gmu.eu/ skim22 Chapter 1. Functions, Graphs, an Limits A function is a rule that assigns to each objects in a set A exactly

More information

CALCULUS 4 QUIZ #2 REVIEW / SPRING 09

CALCULUS 4 QUIZ #2 REVIEW / SPRING 09 CALCULUS QUIZ # REVIEW / SPRING 09 (.) Determine the following about the given quaric surfaces. (a.) Ientif & Sketch the quaric surface: +. 9 In planes parallel to the -plane an planes parallel to the

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

Basic Differentiation Rules and Rates of Change. The Constant Rule

Basic Differentiation Rules and Rates of Change. The Constant Rule 460_00.q //04 4:04 PM Page 07 SECTION. Basic Differentiation Rules an Rates of Change 07 Section. The slope of a horizontal line is 0. Basic Differentiation Rules an Rates of Change Fin the erivative of

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

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

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

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

Math 190 Chapter 3 Lecture Notes. Professor Miguel Ornelas

Math 190 Chapter 3 Lecture Notes. Professor Miguel Ornelas Math 190 Chapter 3 Lecture Notes Professor Miguel Ornelas 1 M. Ornelas Math 190 Lecture Notes Section 3.1 Section 3.1 Derivatives of Polynomials an Exponential Functions Derivative of a Constant Function

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

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

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

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.

Lecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b. b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference

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

Differentials. In previous sections when you were taking the derivative of a function it was shown that the derivative notations f ( x)

Differentials. In previous sections when you were taking the derivative of a function it was shown that the derivative notations f ( x) Differentials This section will show how differentials can be used for linear approximation, marginal analysis, and error estimation. In previous math courses you learned that the slope of a line is found

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

Calculus 4 Final Exam Review / Winter 2009

Calculus 4 Final Exam Review / Winter 2009 Calculus 4 Final Eam Review / Winter 9 (.) Set-up an iterate triple integral for the volume of the soli enclose between the surfaces: 4 an 4. DO NOT EVALUATE THE INTEGRAL! [Hint: The graphs of both surfaces

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

Differentiation of Logarithmic Functions

Differentiation of Logarithmic Functions Differentiation of Logarithmic Functions The rule for finding the derivative of a logarithmic function is given as: If y log a then dy or y. d a ( ln This rule can be proven by rewriting the logarithmic

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

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

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

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

Optimization II. Now lets look at a few examples of the applications of extrema.

Optimization II. Now lets look at a few examples of the applications of extrema. Optimization II So far you have learned how to find the relative and absolute etrema of a function. This is an important concept because of how it can be applied to real life situations. In many situations

More information

With the Chain Rule. y x 2 1. and. with respect to second axle. dy du du dx. Rate of change of first axle. with respect to third axle

With the Chain Rule. y x 2 1. and. with respect to second axle. dy du du dx. Rate of change of first axle. with respect to third axle 0 CHAPTER Differentiation Section The Chain Rule Fin the erivative of a composite function using the Chain Rule Fin the erivative of a function using the General Power Rule Simplif the erivative of a function

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

Math 1720 Final Exam Review 1

Math 1720 Final Exam Review 1 Math 70 Final Eam Review Remember that you are require to evaluate this class by going to evaluate.unt.eu an filling out the survey before minight May 8. It will only take between 5 an 0 minutes, epening

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

Mathematics 1210 PRACTICE EXAM II Fall 2018 ANSWER KEY

Mathematics 1210 PRACTICE EXAM II Fall 2018 ANSWER KEY Mathematics 1210 PRACTICE EXAM II Fall 2018 ANSWER KEY 1. Calculate the following: a. 2 x, x(t) = A sin(ωt φ) t2 Solution: Using the chain rule, we have x (t) = A cos(ωt φ)ω = ωa cos(ωt φ) x (t) = ω 2

More information

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions

Chapter 4. Section Derivatives of Exponential and Logarithmic Functions Chapter 4 Section 4.2 - Derivatives of Exponential and Logarithmic Functions Objectives: The student will be able to calculate the derivative of e x and of lnx. The student will be able to compute the

More information

Multivariable Calculus: Chapter 13: Topic Guide and Formulas (pgs ) * line segment notation above a variable indicates vector

Multivariable Calculus: Chapter 13: Topic Guide and Formulas (pgs ) * line segment notation above a variable indicates vector Multivariable Calculus: Chapter 13: Topic Guie an Formulas (pgs 800 851) * line segment notation above a variable inicates vector The 3D Coorinate System: Distance Formula: (x 2 x ) 2 1 + ( y ) ) 2 y 2

More information

Fluid Pressure and Fluid Force

Fluid Pressure and Fluid Force SECTION 7.7 Flui Pressure an Flui Force 07 Section 7.7 Flui Pressure an Flui Force Fin flui pressure an flui force. Flui Pressure an Flui Force Swimmers know that the eeper an object is submerge in a flui,

More information

The Ehrenfest Theorems

The Ehrenfest Theorems The Ehrenfest Theorems Robert Gilmore Classical Preliminaries A classical system with n egrees of freeom is escribe by n secon orer orinary ifferential equations on the configuration space (n inepenent

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

Exam 3 Review. Lesson 19: Concavity, Inflection Points, and the Second Derivative Test. Lesson 20: Absolute Extrema on an Interval

Exam 3 Review. Lesson 19: Concavity, Inflection Points, and the Second Derivative Test. Lesson 20: Absolute Extrema on an Interval Exam 3 Review Lessons 17-18: Relative Extrema, Critical Numbers, an First Derivative Test (from exam 2 review neee for curve sketching) Critical Numbers: where the erivative of a function is zero or unefine.

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

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

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

DIFFERENTIATION TECHNIQUES CHAIN, PRODUCT & QUOTIENT RULES

DIFFERENTIATION TECHNIQUES CHAIN, PRODUCT & QUOTIENT RULES Mathematics Revision Guies Differentiation: Chain, Proct an Quotient Rules Page of 0 MK HOME TUITION Mathematics Revision Guies Level: A-Level Year DIFFERENTIATION TECHNIQUES CHAIN, PRODUCT & QUOTIENT

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

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

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

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

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives.

More from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives. Math 1314 ONLINE More from Lesson 6 The Limit Definition of the Derivative an Rules for Fining Derivatives Eample 4: Use the Four-Step Process for fining the erivative of the function Then fin f (1) f(

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

Apply & Practice 3.5 Set 1: P #3-18 (mult. of 3); 19 #21 write explicit #27-33 (mult. of 3) point #39-40 eqn tang line from graph

Apply & Practice 3.5 Set 1: P #3-18 (mult. of 3); 19 #21 write explicit #27-33 (mult. of 3) point #39-40 eqn tang line from graph Ch 0 Homework Complete Solutions V Part : S. Stirling Calculus: Earl Transcendental Functions, 4e Larson WATCH for the product rule and the chain rule. If the order that our terms are in differ from the

More information

Ordinary Differential Equations

Ordinary Differential Equations Orinary Differential Equations Example: Harmonic Oscillator For a perfect Hooke s-law spring,force as a function of isplacement is F = kx Combine with Newton s Secon Law: F = ma with v = a = v = 2 x 2

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

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

Chapter 1 Prerequisites for Calculus

Chapter 1 Prerequisites for Calculus Section. Chapter Prerequisites for Calculus Section. Lines (pp. 9) Quick Review.. ( ) (). ( ). m 5. m ( ) 5 ( ) 5. (a) () 5 Section. Eercises.. (). 8 () 5. 6 5. (a, c) 5 B A 5 6 5 Yes (b) () () 5 5 No

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

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

Section 2.7 Derivatives of powers of functions

Section 2.7 Derivatives of powers of functions Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.

More information

The Derivative and the Tangent Line Problem. The Tangent Line Problem

The Derivative and the Tangent Line Problem. The Tangent Line Problem 96 CHAPTER Differentiation Section ISAAC NEWTON (6 77) In aition to his work in calculus, Newton mae revolutionar contributions to phsics, incluing the Law of Universal Gravitation an his three laws of

More information

Diagonalization of Matrices Dr. E. Jacobs

Diagonalization of Matrices Dr. E. Jacobs Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is

More information

Derivative Methods: (csc(x)) = csc(x) cot(x)

Derivative Methods: (csc(x)) = csc(x) cot(x) EXAM 2 IS TUESDAY IN QUIZ SECTION Allowe:. A Ti-30x IIS Calculator 2. An 8.5 by inch sheet of hanwritten notes (front/back) 3. A pencil or black/blue pen Covers: 3.-3.6, 0.2, 3.9, 3.0, 4. Quick Review

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