Section 2.7 Derivatives of powers of functions

Size: px
Start display at page:

Download "Section 2.7 Derivatives of powers of functions"

Transcription

1 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. This is a special case of the general Chain Rule which we will cover in Section 4.1. Topics: The Chain Rule for powers of functions On the orer of operations The Chain Rule for powers of functions How is the rate of change of the area A = w 2 of the square in Figure 1 etermine by its with w = w(t) an the rate of change of its with? We can view the area as the prouct A = w w an use the Prouct Rule from the last section to obtain A t = t (w2 ) = (w w) = ww t t + ww t = 2ww t. (1) This shows that the rate of change of the area equals twice the with, multiplie by the rate of change of the with. If we replace w = w(t) by f = f(x) in (1), we obtain x (f2 ) = 2f f. This is the x special case for n = 2 of the following general result: w = w(t) FIGURE 1 w = w(t) Theorem 1 (The Chain Rule for powers of functions) Suppose that n is a constant an that y = f(x) is a function of x. Then x (fn ) = nf n 1 f (2a) x or with primes enoting x-erivatives, (f n ) = nf n 1 f. (2b) This formula hols at any x such that f = f (x) exists an f = f(x) is in an open interval where [f(x)] n 1 is efine. Remember (2a) an (2b) as the following statement: the erivative of the nth power of a function equals n, multiplie by the (n 1)st power of the function, multiplie by the erivative of the function. 149

2 p. 150 (3/19/08) Section 2.7, Derivatives of powers of functions Proof: Suppose that x satisfies the conitions of the theorem. For nonzero x, we let f enote the change f(x + x) f(x) in the value of f from x to x + x, so that f(x + x) = f(x) + f. Then f 0 as x 0 since f is continuous at x. We make the simplifying assumption that f 0 for small, nonzero x. Then the erivative of y = f n at x is the limit as x 0 of [f(x + x)] n [f(x)] n x = (f + f)n f n x = [ (f + f) n f n f ][ ] f. (3) x We have written f here for f(x) an we obtaine the last expression by multiplying an iviing by f. We let x ten to zero. The ifference quotient in the secon set of brackets on the right of (3) tens to the erivative of f with respect to x an the ifference quotient in the first set of brackets tens to the erivative of f n with respect to f. The ifference quotient on the left of (3) therefore tens to the erivative of f n with respect to x, an we obtain f (fn ) = f (fn ) f x. By Theorem 1 of Section 2.4, f (fn ) = nf n 1, so the last equation gives x (fn ) = nf n 1 f x which is formula (2a) at x. QED Example 1 Fin the x-erivative of y = (x 3 + 1) 5. By (2a) with f(x) = x an n, x [(x3 + 1) 5 ] (x 3 + 1) 4 x (x3 + 1) (x 3 + 1) 4 (3x 2 ) = 15x 2 (x 3 + 1) 4. Example 2 What is z (0) if z(x) = [y(x)] 4, y(0) = 2 an y (0) = 10? Formula (2b) with y in place of f an n = 4 yiels z = x (y4 ) = 4y 3 y. We set y = y(0) = 2 an y = y (0) = 10 to obtain z (0) = 4[y(0)] 3 y (0) = 4(2) 3 ( 10) = 320.

3 Section 2.7, Derivatives of powers of functions p. 151 (3/19/08) Example 3 (a) Express the rate of change V/t of the volume V = 4 3 πr3 (4) of a sphere in terms of the raius r an the rate of change r/t of the raius. (b) At a particular moment the raius of a sphere is 3 inches an is increasing at the rate of 2 inches per minute. How fast is the volume of the sphere increasing at that moment? (a) By formula (2a) with n = 3, Example 4 V t = t (4 3 πr3 ) = 4 3 π(3r2 ) r t = 4πr2 r t. (5) (b) At the moment uner consieration, r = 3 an r/t, so that V/t = 4π(3 2 )(2) = 72π cubic inches per minute. In the next example, we use formula (5) with a graph. Figure 2 shows the graph of the volume V = V (t) of a spherical balloon as a function of the time t. Fin (a) the approximate raius of the balloon at t = 6 an (b) the approximate rate of change of the raius with respect to time at t = V (cubic inches) V = V (t) 250 V (cubic inches) V = V (t) t t (secons) (secons) FIGURE 2 FIGURE 3 (a) From the graph in Figure 2 we see that V (6) 100 cubic inches, so that by formula (4) for the volume of a sphere, πr3. This gives r 3 75/π, so that r 3 75/π. = 2.88 inches. (b) To estimate the erivative of the volume, we raw an approximate tangent line to its graph at t = 6 as in Figure 3 an fin its approximate slope. The points on the line have approximate coorinates (6, 100) an (10, 220). Using these values, we fin that the rise V from the first to the secon point on the tangent line is approximately = 120. The run t is 4. Therefore, V t V t t=6 120 cubic inches 4 secons = 30 cubic inches per secon. To fin r/t, we substitute the values V/t 30 an r 2.88 in (5). This yiels 30 4π(2.88) 2 r r an then t t 30. = inches per secon. 4π(2.88) 2

4 p. 152 (3/19/08) Section 2.7, Derivatives of powers of functions On the orer of operations Differentiating a complicate expression may require a combination of the Prouct Rule, the Quotient Rule, the Chain Rule for powers, an other operations. You can etermine the orer in which to apply these operations by noting the orer of the steps use in calculating values of the function. The ifferentiation is carrie out in the reverse orer, an this often requires the Prouct, Quotient, an Chain Rules to ifferentiate proucts, quotients, an powers of functions. ( ) 5 x + 1 Example 5 In what orer are the calculations mae in fining a value of f(x) =? The expressions y = x + 1 an y = are calculate first. Then their quotient is foun. An, finally the fifth power is taken. Example 6 Fin the x-erivative of the function y = f(x) from Example 5. x Because the last step in fining a value of y = f(x) is the taking of the fifth power, we fin its erivative by first using the Chain Rule for ifferentiating the fifth power of a function: x [ (x ) ] ( ) 4 x + 1 x ( ) x + 1. Since the next-to-last step in calculating f(x) involves ivision, the Quotient Rule is applie next: [ (x ) ] ( ) 4 x + 1 x ) 4 ( x + 1 ( ) x + 1 () (x + 1) (x + 1) x x () 2 (). (6) Finally, because the first steps in evaluating f(x) are to calculate y = x+1 an y = x 3, ifferentiating these functions gives the final result: x [ (x ) ] ( x + 1 ( x + 1 ) 4 [ ] () (x + 1) () 2 ) 4 [ ] 4 () 2 = 20(x + 1)4 () 6 It is a goo iea to write own all of the steps, as in equations (6) an (7), when you carry out involve ifferentiations such as in this example so you can concentrate on the etails an review your work to see that it is correct. (7)

5 Section 2.7, Derivatives of powers of functions p. 153 (3/19/08) Example 7 (a) Describe the orer of operations that are performe to calculate a value of g(x) = x 2 (x 3 + 2x) 10? (b) Fin the erivative of the function from part (a). Do not simplify the answer. (a) The polynomial y = x 3 + 2x is evaluate an its tenth power is taken; y = x 2 is calculate; an then the prouct is performe. (b) Because the last step in fining a value of y = g(x) is taking a prouct, the Prouct Rule is use first in fining its erivative: g (x) = x [x2 (x 3 + 2x) 10 ] = x 2 x [(x3 + 2x) 10 ] + (x 3 + 2x) 10 x (x2 ). We use the Chain Rule with the term on the left to obtain g (x) = x 2 [10(x 3 + 2x) 9 ] x (x3 + 2x) + (x 3 + 2x) 10 (2x) = 10x 2 (x 3 + 2x) 9 (3x 2 + 2) + 2x(x 3 + 2x) 10. Example 8 We o not simplify the answer because we have no further use for it. (a) What is the orer of operations in evaluating y = [x 2 +u(x)] 3/2? (b) Express the erivative of the function of part (a) in terms of x,u(x), an u (x). (a) The functions y = x 2 an y = u(x) are evaluate, the results are ae, an finally the 2 3 power is taken. (b) Since the last step in fining a value of y = [x 2 + u(x)] 3/2 is taking the power, we start with formula (2) for ifferentiating powers. We then ifferentiate y = x 2 an y = u(x): y (x) = x {[x2 + u(x)] 3/2 } = 3 2 [x2 + u(x)] 1/2 x [x2 + u(x)] = 3 2 [x2 + u(x)] 1/2 [2x + u (x)]. Interactive Examples 2.7 Interactive solutions are on the web page http// ashenk/. 1. Fin the erivative y/x of y = (10 x 1/2 ) What is W (0) if W(x) = [W(x)] 4, Z(0) = 2, an Z (0) = 10? 3. (a) Give an equation of the tangent line to y = (x 2 + 4x) 2 at x = 2. (b) Generate the curve an tangent line in a suitable winow on a calculator or computer. 4. The volume of punch in a hemispherical bowl of raius 10 inches is V = 10πh πh3 cubic inches when the punch is h inches eep (0 h 10). At what rate is the volume increasing at a moment when h is 5 inches an is increasing 6 inches per minute? In the publishe text the interactive solutions of these examples will be on an accompanying CD isk which can be run by any computer browser without using an internet connection.

6 p. 154 (3/19/08) Section 2.7, Derivatives of powers of functions Exercises 2.7 A Answer provie. CONCEPTS: O Outline of solution provie. C Graphing calculator or computer require. 1. Equation (1) states that the rate of change of the area of a square equals half its perimeter, multiplie by the rate of change of its with. Why is this plausible? (Imagine that one corner of the square is fixe.) 2. Derive Theorem 1 for n = 2 irectly from the efinition (f + f) 2 f 2 x (f2 ) = lim, where x 0 x f = f(x) an f = f(x + x) f(x) on the right. (Expan the square (f + f) 2.) 3. Derive Theorem 1 for n = 1 irectly from the efinition x (f 1 ) = lim where f = f(x) an f = f(x + x) f(x) on the right. x 0 (f + f) 1 f 1, x 4. How is the formula V t = r 4πr2 for the rate of change of the volume of a sphere from Example 3 t relate to the area A = 4πr 2 of the surface of the sphere? BASICS: Fin the erivatives in Exercises 5 through O x [(3x2 + x) 5 ] 12. O G (z) for G(z) = 3 100z A y (3) for y = (x 4 3x 3 + 1) O 3x V (0) for V = (2 4t + t 5 ) 3 x 7. O x [(a + bx2 + cx 5 ) A ] with constants a,b, c x [(3x 4) 1/3 ] 16. A x [(6 x + 3) 3 ] 8. O G (3) where G(x) = [y(x)] 7/2, y(3) = 1, an y (3) = 5 History 9. O x [(2 + 3x2 ) 10 ] 10. A y/x for y = (x + 3x 2 ) t t t [(t5 3t 2 + 1) 13 ] 18. O W (10) where W(u) = [Z(u)] 1/4, Z(10) = 16, an Z (10) = B (9) where B(v) = [A(v)] 7, A(9) = 1, an A (9) = 12 In Exercises 20 through 23 (a) give equations of the tangent lines at the given values of x. C (b) Generate the curves an tangent lines in suitable winows an copy them on your paper. 20. O The tangent line to y = (x 4 + 2) 3 at x = O The tangent line to y = (x 2 + 4x) 2 at x = The tangent line to y = 4 x at x = 3.

7 Section 2.7, Derivatives of powers of functions p. 155 (3/19/08) 23. A Figure 4 shows the graph of a ifferentiable function y = U(x). Fin approximate values of (a) U, (b) U x, (c) (xu), an () x x (U3 ) at x = 2. y y = U(x) FIGURE x 24. O The ensity of ry air at a pressure of one atmosphere an a temperature of T C is ρ(t) = 1.293( T) 1 grams per liter. (1) What is the ensity an the rate of change of the ensity with respect to temperature at 20 C? Give approximate ecimal values. 25. A A leaky bucket contains V (t) = (3 t) 2 gallons of water from t = 0 (hours) until the bucket is empty. What is the rate of flow out of the bucket when it contains 1 gallon of water? 26. What is the rate of change with respect to time of the volume V = w 3 of an expaning cubic crystal at a moment when its with is 10 millimeters an its with is increasing 3 millimetes per ay? 27. The one-imensional ensity of a ro of mass 160 grams an length L centimeters is ρ = 160/L grams per centimeter. The ro expans when it is heate. What is the rate of change with respect to temperature of its ensity when it is 40 centimeters long if its length is increasing 0.01 centimeters per egree at that time? EXPLORATION: Fin the erivatives in Exercises 28 through O y x for y = (x + 1)4 2x A t (t 2t + 3) 29. A y (x) for y = x(5x + 4) 1/ y (t) for y(t) = (t3 + 1) 10 t Give exact an approximate ecimal values, as appropriate, in Exercises 32 through A The weight of an object is the force of gravity on it. If it weighs 100 pouns on the surface of the earth, then it weighs w(r) = 100( r) 2 pouns at an altitue of r miles above the earth. (a) What oes the object weigh an (b) how rapily is its weight ecreasing when it is 400 miles above the earth if it is rising 15 miles per secon? Give exact an approximate ecimal values. 33. An object moves along the parabola y = x 2 in such a way that its x-coorinate increases at the constant rate of 5 units per minute. (a) How rapily is the object s y-coorinate increasing when its x-coorinate is 1? (b) How rapily is the object s istance to the origin ecreasing when its x-coorinate is 1? 34. A The force of air resistance (rag) on a car is D = 1 30 v2 pouns when the velocity is v miles per hour. (2) The car is accelerating at a constant rate of 500 miles per hour 2. What is the rate of increase with respect to time of the rag when the car is going 50 miles per hour? (1) CRC Hanbook of Chemistry an Physics, R. Weast eitor, Boca Raton, FL: CRC Press, Inc., 1981, p. F-11. (2) Data aopte from Flui Dynamic Drag by S. Hoerner, Publishe by the author, 1958, p. 12.

8 p. 156 (3/19/08) Section 2.7, Derivatives of powers of functions 35. Figures 5 an 6 show the graphs of the with w = w(t) (yars) an height h = h(t) (yars) of a rectangular box with a square base as functions of the time t (minutes). What is the approximate rate of change of the volume of the box with respect to t at t = 10? w (yars) w = w(t) h (yars) h = h(t) t t (minutes) (minutes) FIGURE 5 FIGURE Imagine a water pipe with a faucet at the en an with the other en connecte to a water supply that applies 50 pouns per square inch of water pressure when the faucet is close. When the valve is opene an water flows through the pipe, the water pressure in the pipe rops. The water pressure in the pipe is p 0 2v 2 pouns per square inch when the water is flowing v feet per secon. (This is an example of Bernoulli s law. ) Figure 7 shows the graph of the velocity of water as a function of t (secons) for 0 t 200. (a) What is the approximate maximum water pressure in the pipe for 0 t 200? (b) What is the approximate rate of change of the water pressure with respect to t at t = 150? FIGURE v (feet per secon) v = v(t) t (secons) 37. At what rate is the raius r of a circle ecreasing when the area of the circle is 16 square inches if the area is ecreasing 3 square inches per minute? 38. The lateral surface area of a right circular cyliner of height h (inches) an base of raius r (inches) is A = πr r 2 + h 2. Give a formula for A r h in terms of r,h,, an t t t. 39. Differentiate y = (x 3 5) 2 (a) by applying the Chain Rule for powers an (b) by expaning the square an ifferentiating the resulting expression. 40. Derive the Quotient Rule from the Prouct Rule an the Chain Rule for powers by writing f/g = fg 1. (En of Section 2.7)

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

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

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

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

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

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

Section 1.2 More on finite limits

Section 1.2 More on finite limits Section 1.2 More on finite its (3/19/08) Overview: In this section we find its where the function is not defined at the iting value of the variable because it involves a denominator which is zero at that

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

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

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

2.1 Derivatives and Rates of Change

2.1 Derivatives and Rates of Change 1a 1b 2.1 Derivatives an Rates of Change Tangent Lines Example. Consier y f x x 2 0 2 x-, 0 4 y-, f(x) axes, curve C Consier a smooth curve C. A line tangent to C at a point P both intersects C at P an

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

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

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

Tutorial 1 Differentiation

Tutorial 1 Differentiation Tutorial 1 Differentiation What is Calculus? Calculus 微積分 Differential calculus Differentiation 微分 y lim 0 f f The relation of very small changes of ifferent quantities f f y y Integral calculus Integration

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

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

SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 1 8 3

SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 1 8 3 SECTION 3.2 THE PRODUCT AND QUOTIENT RULES 8 3 L P f Q L segments L an L 2 to be tangent to the parabola at the transition points P an Q. (See the figure.) To simplify the equations you ecie to place 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

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

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

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

Worksheet 8, Tuesday, November 5, 2013, Answer Key

Worksheet 8, Tuesday, November 5, 2013, Answer Key Math 105, Fall 2013 Worksheet 8, Tuesay, November 5, 2013, Answer Key Reminer: This worksheet is a chance for you not to just o the problems, but rather unerstan the problems. Please iscuss ieas with your

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

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

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

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

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

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

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

Math Test #2 Info and Review Exercises

Math Test #2 Info and Review Exercises Math 180 - Test #2 Info an Review Exercises Spring 2019, Prof. Beyler Test Info Date: Will cover packets #7 through #16. You ll have the entire class to finish the test. This will be a 2-part test. Part

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

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

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

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

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

Derivatives. if such a limit exists. In this case when such a limit exists, we say that the function f is differentiable. Derivatives 3. Derivatives Definition 3. Let f be a function an a < b be numbers. Te average rate of cange of f from a to b is f(b) f(a). b a Remark 3. Te average rate of cange of a function f from a to

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

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

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

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

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

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

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

Mathematical Review Problems

Mathematical Review Problems Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept

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

Center of Gravity and Center of Mass

Center of Gravity and Center of Mass Center of Gravity an Center of Mass 1 Introuction. Center of mass an center of gravity closely parallel each other: they both work the same way. Center of mass is the more important, but center of gravity

More information

12.11 Laplace s Equation in Cylindrical and

12.11 Laplace s Equation in Cylindrical and SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering

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

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

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

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

102 Problems Calculus AB Students Should Know: Solutions. 18. product rule d. 19. d sin x. 20. chain rule d e 3x2) = e 3x2 ( 6x) = 6xe 3x2

102 Problems Calculus AB Students Should Know: Solutions. 18. product rule d. 19. d sin x. 20. chain rule d e 3x2) = e 3x2 ( 6x) = 6xe 3x2 Problems Calculus AB Stuents Shoul Know: Solutions. + ) = + =. chain rule ) e = e = e. ) =. ) = ln.. + + ) = + = = +. ln ) =. ) log ) =. sin ) = cos. cos ) = sin. tan ) = sec. cot ) = csc. sec ) = sec

More information

0.1 Differentiation Rules

0.1 Differentiation Rules 0.1 Differentiation Rules From our previous work we ve seen tat it can be quite a task to calculate te erivative of an arbitrary function. Just working wit a secon-orer polynomial tings get pretty complicate

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

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

Objective: To introduce the equations of motion and describe the forces that act upon the Atmosphere

Objective: To introduce the equations of motion and describe the forces that act upon the Atmosphere Objective: To introuce the equations of motion an escribe the forces that act upon the Atmosphere Reaing: Rea pp 18 6 in Chapter 1 of Houghton & Hakim Problems: Work 1.1, 1.8, an 1.9 on pp. 6 & 7 at the

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

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 +

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 + FINAL EXAM 1 SOLUTIONS 2011 1. Below is the graph of a function f(x). From the graph, rea off the value (if any) of the following its: x 1 = 0 f(x) x 1 + = 1 f(x) x 0 = x 0 + = 0 x 1 = 1 1 2 FINAL EXAM

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

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

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

4.2 First Differentiation Rules; Leibniz Notation

4.2 First Differentiation Rules; Leibniz Notation .. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial

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

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

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

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

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0. Calculus refresher Disclaimer: I claim no original content on this ocument, which is mostly a summary-rewrite of what any stanar college calculus book offers. (Here I ve use Calculus by Dennis Zill.) I

More information

Calculus and optimization

Calculus and optimization Calculus an optimization These notes essentially correspon to mathematical appenix 2 in the text. 1 Functions of a single variable Now that we have e ne functions we turn our attention to calculus. A function

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

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

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

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math

2-7. Fitting a Model to Data I. A Model of Direct Variation. Lesson. Mental Math Lesson 2-7 Fitting a Moel to Data I BIG IDEA If you etermine from a particular set of ata that y varies irectly or inversely as, you can graph the ata to see what relationship is reasonable. Using that

More information

Differentiability, Computing Derivatives, Trig Review

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

More information

Solutions to Practice Problems Tuesday, October 28, 2008

Solutions to Practice Problems Tuesday, October 28, 2008 Solutions to Practice Problems Tuesay, October 28, 2008 1. The graph of the function f is shown below. Figure 1: The graph of f(x) What is x 1 + f(x)? What is x 1 f(x)? An oes x 1 f(x) exist? If so, what

More information

Math 3A Midterm 1 Solutions

Math 3A Midterm 1 Solutions Math 3A Miterm Solutions Rea all of the following information before starting the exam: 0/0/00 Check your exam to make sure all pages are present. When you use a major theorem (like the inermeiate value

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 of Variations

Calculus of Variations Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,

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

Review of Differentiation and Integration for Ordinary Differential Equations

Review of Differentiation and Integration for Ordinary Differential Equations Schreyer Fall 208 Review of Differentiation an Integration for Orinary Differential Equations In this course you will be expecte to be able to ifferentiate an integrate quickly an accurately. Many stuents

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

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

In Leibniz notation, we write this rule as follows. DERIVATIVE OF A CONSTANT FUNCTION. For n 4 we find the derivative of f x x 4 as follows: lim .1 DERIVATIVES OF POLYNOIALS AND EXPONENTIAL FUNCTIONS c =c slope=0 0 FIGURE 1 Te grap of ƒ=c is te line =c, so fª()=0. In tis section we learn ow to ifferentiate constant functions, power functions, polnomials,

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

This file is /conf/snippets/setheader.pg you can use it as a model for creating files which introduce each problem set.

This file is /conf/snippets/setheader.pg you can use it as a model for creating files which introduce each problem set. Yanimov Almog WeBWorK assignment number Sections 3. 3.2 is ue : 08/3/207 at 03:2pm CDT. Te (* replace wit url for te course ome page *) for te course contains te syllabus, graing policy an oter information.

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

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

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

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

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

Chapter 5. Factorization of Integers

Chapter 5. Factorization of Integers Chapter 5 Factorization of Integers 51 Definition: For a, b Z we say that a ivies b (or that a is a factor of b, or that b is a multiple of a, an we write a b, when b = ak for some k Z 52 Theorem: (Basic

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

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

Derivatives and Its Application

Derivatives and Its Application Chapter 4 Derivatives an Its Application Contents 4.1 Definition an Properties of erivatives; basic rules; chain rules 3 4. Derivatives of Inverse Functions; Inverse Trigonometric Functions; Hyperbolic

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

Computing Derivatives

Computing Derivatives Chapter 2 Computing Derivatives 2.1 Elementary erivative rules Motivating Questions In this section, we strive to unerstan the ieas generate by the following important questions: What are alternate notations

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 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

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

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

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

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