Basic Differentiation Rules and Rates of Change. The Constant Rule

Size: px
Start display at page:

Download "Basic Differentiation Rules and Rates of Change. The Constant Rule"

Transcription

1 460_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 a function using the Constant Rule. Fin the erivative of a function using the Power Rule. Fin the erivative of a function using the Constant Multiple Rule. Fin the erivative of a function using the Sum an Difference Rules. Fin the erivatives of the sine function an of the cosine function. Use erivatives to fin rates of change. The Constant Rule In Section. ou use the limit efinition to fin erivatives. In this an the net two sections ou will be introuce to several ifferentiation rules that allow ou to fin erivatives without the irect use of the limit efinition. The erivative of a constant function is 0. The Constant Rule Figure.4 f() = c NOTE In Figure.4, note that the Constant Rule is equivalent to saing that the slope of a horizontal line is 0. This emonstrates the relationship between slope an erivative. THEOREM. The Constant Rule The erivative of a constant function is 0. That is, if c is a real number, then c 0. Proof Let f c. Then, b the limit efinition of the erivative, c f f f c c EXAMPLE Using the Constant Rule Derivative a. 7 0 b. f 0 f 0 c. st st 0. k, k is constant 0 EXPLORATION Writing a Conjecture Use the efinition of the erivative given in Section. to fin the erivative of each function. What patterns o ou see? Use our results to write a conjecture about the erivative of f n. a. f b. f c. f. f 4 e. f f. f

2 460_00.q //04 4:04 PM Page CHAPTER Differentiation The Power Rule Before proving the net rule, it is important to review the proceure for epaning a binomial. The general binomial epansion for a positive integer n is n n n n nn n... n. is a factor of these terms. This binomial epansion is use in proving a special case of the Power Rule. THEOREM. The Power Rule If n is a rational number, then the function f n is ifferentiable an n n n. For f to be ifferentiable at 0, n must be a number such that n is efine on an interval containing 0. 4 = Proof If n is a positive integer greater than, then the binomial epansion prouces n n n 0 nn n n n n... n n 0 0 n nn n n... n n n n n. This proves the case for which n is a positive integer greater than. You will prove the case for n. Eample 7 in Section. proves the case for which n is a negative integer. In Eercise 75 in Section.5 ou are aske to prove the case for which n is rational. (In Section 5.5, the Power Rule will be etene to cover irrational values of n. ) When using the Power Rule, the case for which n is best thought of as a separate ifferentiation rule. That is, 4 The slope of the line is. Figure.5. Power Rule when n This rule is consistent with the fact that the slope of the line is, as shown in Figure.5.

3 460_00.q //04 4:04 PM Page 09 SECTION. Basic Differentiation Rules an Rates of Change 09 EXAMPLE Using the Power Rule a. b. c. f g Derivative f) g In Eample (c), note that before ifferentiating, Rewriting is the first step in man ifferentiation problems. was rewritten as. f() = 4 Given: Rewrite: Differentiate: Simplif: EXAMPLE Fining the Slope of a Graph (, ) (, ) Fin the slope of the graph of f 4 when a. b. 0 c.. (0, 0) Note that the slope of the graph is negative at the point,, the slope is zero at the point 0, 0, an the slope is positive at the point,. Figure.6 Solution The slope of a graph at a point is the value of the erivative at that point. The erivative of f is f 4. a. When, the slope is f 4 4. Slope is negative. b. When 0, the slope is f Slope is zero. c. When, the slope is f 4 4. Slope is positive. See Figure.6. EXAMPLE 4 Fining an Equation of a Tangent Line f() = (, 4) 4 = 4 4 The line 4 4 is tangent to the graph of f at the point, 4. Figure.7 Fin an equation of the tangent line to the graph of f when. Solution To fin the point on the graph of f, evaluate the original function at., f, 4 Point on graph To fin the slope of the graph when, evaluate the erivative, f, at. m f 4 Slope of graph at, 4 Now, using the point-slope form of the equation of a line, ou can write m Point-slope form 4 4 Substitute for, m, an Simplif. See Figure.7.

4 460_00.q //04 4:04 PM Page 0 0 CHAPTER Differentiation The Constant Multiple Rule THEOREM.4 The Constant Multiple Rule If f is a ifferentiable function an c is a real number, then cf is also ifferentiable an cf cf. Proof cf cf cf 0 0 c c 0 cf f f f f Definition of erivative Appl Theorem.. Informall, the Constant Multiple Rule states that constants can be factore out of the ifferentiation process, even if the constants appear in the enominator. cf c f cf f c c f c f c f EXAMPLE 5 a. b. c.. e. 4t ft 5 Using the Constant Multiple Rule Derivative ft t 4 5 t 4 5 t t 4 5 t 8 5 t 5 5 The Constant Multiple Rule an the Power Rule can be combine into one rule. The combination rule is D c n cn n.

5 460_00.q //04 4:04 PM Page SECTION. Basic Differentiation Rules an Rates of Change EXAMPLE 6 Using Parentheses When Differentiating Original Rewrite Differentiate Simplif a. b. c The Sum an Difference Rules THEOREM.5 The Sum an Difference Rules The sum (or ifference) of two ifferentiable functions f an g is itself ifferentiable. Moreover, the erivative of f g or f g is the sum (or ifference) of the erivatives of f an g. f g f g f g f g Sum Rule Difference Rule Proof A proof of the Sum Rule follows from Theorem.. (The Difference Rule can be prove in a similar wa.) f g f g f g 0 0 f f 0 0 f g f g f g f f g g g g 0 The Sum an Difference Rules can be etene to an finite number of functions. For instance, if F f g h, then F f g h. EXAMPLE 7 Using the Sum an Difference Rules a. f 4 5 Derivative f 4 b. g 4 g 9

6 460_00.q //04 4:04 PM Page CHAPTER Differentiation FOR FURTHER INFORMATION For the outline of a geometric proof of the erivatives of the sine an cosine functions, see the article The Spier s Spacewalk Derivation of an b Tim Hesterberg in The College Mathematics Journal. To view this article, go to the website sin cos Derivatives of Sine an Cosine s In Section., ou stuie the following limits. sin lim 0 an cos lim 0 0 These two limits can be use to prove ifferentiation rules for the sine an cosine functions. (The erivatives of the other four trigonometric functions are iscusse in Section..) THEOREM.6 Derivatives of Sine an Cosine s sin cos cos sin = increasing = 0 π = π = sin = π = 0 ecreasing increasing positive negative positive π π = cos π The erivative of the sine function is the cosine function. Figure.8 Proof sin sin sin 0 0 cos 0 cos sin 0 cos sin cos cos sin sin sin sin 0 Definition of erivative cos sin sin cos 0 0 cos sin sin cos cos This ifferentiation rule is shown graphicall in Figure.8. Note that for each, the slope of the sine curve is equal to the value of the cosine. The proof of the secon rule is left as an eercise (see Eercise 6). EXAMPLE 8 Derivatives Involving Sines an Cosines = sin = sin a. b. sin sin sin Derivative cos cos cos c. cos sin = sin = sin a sin a cos Figure.9 TECHNOLOGY A graphing utilit can provie insight into the interpretation of a erivative. For instance, Figure.9 shows the graphs of a sin for a,,, an. Estimate the slope of each graph at the point 0, 0. Then verif our estimates analticall b evaluating the erivative of each function when 0.

7 460_00.q //04 4:04 PM Page SECTION. Basic Differentiation Rules an Rates of Change Rates of Change You have seen how the erivative is use to etermine slope. The erivative can also be use to etermine the rate of change of one variable with respect to another. Applications involving rates of change occur in a wie variet of fiels. A few eamples are population growth rates, prouction rates, water flow rates, velocit, an acceleration. A common use for rate of change is to escribe the motion of an object moving in a straight line. In such problems, it is customar to use either a horizontal or a vertical line with a esignate origin to represent the line of motion. On such lines, movement to the right (or upwar) is consiere to be in the positive irection, an movement to the left (or ownwar) is consiere to be in the negative irection. The function s that gives the position (relative to the origin) of an object as a function of time t is calle a position function. If, over a perio of time t, the object changes its position b the amount s st t st, then, b the familiar formula Rate istance time the average velocit is Change in istance Change in time s t. Average velocit EXAMPLE 9 Fining Average Velocit of a Falling Object If a billiar ball is roppe from a height of 00 feet, its height s at time t is given b the position function s 6t 00 Position function where s is measure in feet an t is measure in secons. Fin the average velocit over each of the following time intervals. a., b.,.5 c.,. Richar Megna/Funamental Photographs Time-lapse photograph of a free-falling billiar ball Solution a. For the interval,, the object falls from a height of s feet to a height of s feet. The average velocit is s feet per secon. t b. For the interval,.5, the object falls from a height of 84 feet to a height of 64 feet. The average velocit is s feet per secon. t c. For the interval,., the object falls from a height of 84 feet to a height of feet. The average velocit is s feet per secon. t. 0. Note that the average velocities are negative, inicating that the object is moving ownwar.

8 460_00.q //04 4:04 PM Page 4 4 CHAPTER Differentiation s P Secant line Tangent line Suppose that in Eample 9 ou wante to fin the instantaneous velocit (or simpl the velocit) of the object when t. Just as ou can approimate the slope of the tangent line b calculating the slope of the secant line, ou can approimate the velocit at t b calculating the average velocit over a small interval, t (see Figure.0). B taking the limit as t approaches zero, ou obtain the velocit when t. Tr oing this ou will fin that the velocit when t is feet per secon. In general, if s st is the position function for an object moving along a straight line, the velocit of the object at time t is t = t The average velocit between t an t is the slope of the secant line, an the instantaneous velocit at t is the slope of the tangent line. Figure.0 t st t st vt st. t 0 t Velocit function In other wors, the velocit function is the erivative of the position function. Velocit can be negative, zero, or positive. The spee of an object is the absolute value of its velocit. Spee cannot be negative. The position of a free-falling object (neglecting air resistance) uner the influence of gravit can be represente b the equation st gt v 0 t s 0 Position function where s 0 is the initial height of the object, v 0 is the initial velocit of the object, an g is the acceleration ue to gravit. On Earth, the value of g is approimatel feet per secon per secon or 9.8 meters per secon per secon. EXAMPLE 0 Using the Derivative to Fin Velocit ft Velocit is positive when an object is rising, an is negative when an object is falling. Figure. NOTE In Figure., note that the iver moves upwar for the first halfsecon because the velocit is positive for 0 < t <. When the velocit is 0, the iver has reache the maimum height of the ive. At time t 0, a iver jumps from a platform iving boar that is feet above the water (see Figure.). The position of the iver is given b st 6t 6t Position function where s is measure in feet an t is measure in secons. a. When oes the iver hit the water? b. What is the iver s velocit at impact? Solution a. To fin the time t when the iver hits the water, let s 0 an solve for t. 6t 6t 0 Set position function equal to 0. 6t t 0 Factor. t or Solve for t. Because t 0, choose the positive value to conclue that the iver hits the water at t secons. b. The velocit at time t is given b the erivative st t 6. So, the velocit at time t is s 6 48 feet per secon.

9 460_00.q //04 4:04 PM Page 5 SECTION. Basic Differentiation Rules an Rates of Change 5 Eercises for Section. In Eercises an, use the graph to estimate the slope of the tangent line to n at the point,. Verif our answer analticall. To print an enlarge cop of the graph, go to the website (a) (b) (, ) (, ) In Eercises 8, fin the slope of the graph of the function at the given point. Use the erivative feature of a graphing utilit to confirm our results.. See for worke-out solutions to o-numbere eercises. Original 4 f Rewrite Differentiate Point, Simplif. (a) (b) (, ) (, ). ft 5t 5, f 7 5 0, f 5 7. f 4 sin 8. gt cos t, 8 0, 5, 0 0, 0, In Eercises 4, fin the erivative of the function f f 5 0. g 4. f. g. f t t t 6 4. t t 5. g st t t 4 8. f 9. sin cos 0. gt cos t. cos. 5 sin. sin 4. In Eercises 5 0, complete the table Original 5 Rewrite 5 cos Differentiate Simplif In Eercises 9 5, fin the erivative of the function. 9. f f 4. gt t 4 t 4. f h f f f hs s 45 s 50. f t t t 4 5. f 6 5 cos 5. In Eercises 5 56, (a) fin an equation of the tangent line to the graph of f at the given point, (b) use a graphing utilit to graph the function an its tangent line at the point, an (c) use the erivative feature of a graphing utilit to confirm our results. Point 5. 4, 0 54., 55. f 4, 56., 6 f cos

10 460_00.q //04 4:04 PM Page 6 6 CHAPTER Differentiation In Eercises 57 6, etermine the point(s) (if an) at which the graph of the function has a horizontal tangent line sin, 0 < 6. cos, 0 < In Eercises 6 66, fin k such that the line is tangent to the graph of the function f k 4 9 f k 4 7 f k f k Writing About Concepts Line Use the graph of f to answer each question. To print an enlarge cop of the graph, go to the website A B C D (a) Between which two consecutive points is the average rate of change of the function greatest? (b) Is the average rate of change of the function between A an B greater than or less than the instantaneous rate of change at B? (c) Sketch a tangent line to the graph between C an D such that the slope of the tangent line is the same as the average rate of change of the function between C an D. 68. Sketch the graph of a function f such that > 0 for all an the rate of change of the function is ecreasing. In Eercises 69 an 70, the relationship between f an g is given. Eplain the relationship between an g. 69. g f g 5f E f f f Writing About Concepts (continue) In Eercises 7 an 7, the graphs of a function f an its erivative are shown on the same set of coorinate aes. Label the graphs as f or an write a short paragraph stating the criteria use in making the selection. To print an enlarge cop of the graph, go to the website f Sketch the graphs of an 6 5, an sketch the two lines that are tangent to both graphs. Fin equations of these lines. 74. Show that the graphs of the two equations an have tangent lines that are perpenicular to each other at their point of intersection. 75. Show that the graph of the function f sin oes not have a horizontal tangent line. 76. Show that the graph of the function f 5 5 oes not have a tangent line with a slope of. In Eercises 77 an 78, fin an equation of the tangent line to the graph of the function f through the point 0, 0 not on the graph. To fin the point of tangenc, on the graph of f, solve the equation f f 78. f 0, 0 4, Linear Approimation Use a graphing utilit, with a square winow setting, to zoom in on the graph of f 4 to approimate f. Use the erivative to fin f. 80. Linear Approimation Use a graphing utilit, with a square winow setting, to zoom in on the graph of f 4 f 4 0, 0 5, 0 to approimate f4. Use the erivative to fin f4.

11 460_00.q //04 4:04 PM Page 7 SECTION. Basic Differentiation Rules an Rates of Change 7 8. Linear Approimation Consier the function f with the solution point 4, 8. (a) Use a graphing utilit to graph f. Use the zoom feature to obtain successive magnifications of the graph in the neighborhoo of the point 4, 8. After zooming in a few times, the graph shoul appear nearl linear. Use the trace feature to etermine the coorinates of a point near 4, 8. Fin an equation of the secant line S through the two points. (b) Fin the equation of the line tangent to the graph of f passing through the given point. Wh are the linear functions S an T nearl the same? (c) Use a graphing utilit to graph f an T on the same set of coorinate aes. Note that T is a goo approimation of f when is close to 4. What happens to the accurac of the approimation as ou move farther awa from the point of tangenc? () Demonstrate the conclusion in part (c) b completing the table. T f4 4 f 4 f4 T4 f4 T4 8. Linear Approimation Repeat Eercise 8 for the function f where T is the line tangent to the graph at the point,. Eplain wh the accurac of the linear approimation ecreases more rapil than in Eercise 8. True or False? In Eercises 8 88, etermine whether the statement is true or false. If it is false, eplain wh or give an eample that shows it is false. 8. If f g, then f g. 84. If f g c, then f g. 85. If, then. 86. If, then. 87. If g f, then g f. 88. If f n, then f n n. 0.5 In Eercises 89 9, fin the average rate of change of the function over the given interval. Compare this average rate of change with the instantaneous rates of change at the enpoints of the interval. 89. f t t 7,, 90. f t t, , f, 9. f sin,, Vertical Motion In Eercises 9 an 94, use the position function st 6t v 0 t s 0 for free-falling objects. 9. A silver ollar is roppe from the top of a builing that is 6 feet tall. (a) Determine the position an velocit functions for the coin. (b) Determine the average velocit on the interval,. (c) Fin the instantaneous velocities when t an t. () Fin the time require for the coin to reach groun level. (e) Fin the velocit of the coin at impact. 94. A ball is thrown straight own from the top of a 0-foot builing with an initial velocit of feet per secon. What is its velocit after secons? What is its velocit after falling 08 feet? Vertical Motion In Eercises 95 an 96, use the position function st 4.9t v 0 t s 0 for free-falling objects. 95. A projectile is shot upwar from the surface of Earth with an initial velocit of 0 meters per secon. What is its velocit after 5 secons? After 0 secons? 96. To estimate the height of a builing, a stone is roppe from the top of the builing into a pool of water at groun level. How high is the builing if the splash is seen 6.8 secons after the stone is roppe? Think About It In Eercises 97 an 98, the graph of a position function is shown. It represents the istance in miles that a person rives uring a 0-minute trip to work. Make a sketch of the corresponing velocit function. 97. s 98. Distance (in miles) Think About It In Eercises 99 an 00, the graph of a velocit function is shown. It represents the velocit in miles per hour uring a 0-minute rive to work. Make a sketch of the corresponing position function. 99. v 00. Velocit (in mph) (0, 0) (4, ) (0, 6) (6, ) Time (in minutes) Time (in minutes) t t Distance (in miles) Velocit (in mph) (0, 0) s Time (in minutes) v 0, 6 (0, 6) (6, 5) (8, 5) Time (in minutes) t t

12 460_00.q //04 4:04 PM Page 8 8 CHAPTER Differentiation 0. Moeling Data The stopping istance of an automobile, on r, level pavement, traveling at a spee v (kilometers per hour) is the istance R (meters) the car travels uring the reaction time of the river plus the istance B (meters) the car travels after the brakes are applie (see figure). The table shows the results of an eperiment. Driver sees obstacle Reaction time R Driver applies brakes Braking istance Car stops Spee, v Reaction Time Distance, R Braking Time Distance, B (a) Use the regression capabilities of a graphing utilit to fin a linear moel for reaction time istance. (b) Use the regression capabilities of a graphing utilit to fin a quaratic moel for braking istance. (c) Determine the polnomial giving the total stopping istance T. () Use a graphing utilit to graph the functions R, B, an T in the same viewing winow. (e) Fin the erivative of T an the rates of change of the total stopping istance for v 40, v 80, an v 00. (f) Use the results of this eercise to raw conclusions about the total stopping istance as spee increases. 0. Fuel Cost A car is riven 5,000 miles a ear an gets miles per gallon. Assume that the average fuel cost is $.55 per gallon. Fin the annual cost of fuel C as a function of an use this function to complete the table C C/ Who woul benefit more from a one-mile-per-gallon increase in fuel efficienc the river of a car that gets 5 miles per gallon or the river of a car that gets 5 miles per gallon? Eplain. 0. Volume The volume of a cube with sies of length s is given b V s. Fin the rate of change of the volume with respect to s when s 4 centimeters. 04. Area The area of a square with sies of length s is given b A s. Fin the rate of change of the area with respect to s when s 4 meters. B Velocit Verif that the average velocit over the time interval t 0 t, t 0 t is the same as the instantaneous velocit at t t 0 for the position function 06. Inventor Management The annual inventor cost C for a manufacturer is where Q is the orer size when the inventor is replenishe. Fin the change in annual cost when Q is increase from 50 to 5, an compare this with the instantaneous rate of change when Q Writing The number of gallons N of regular unleae gasoline sol b a gasoline station at a price of p ollars per gallon is given b N f p. (a) Describe the meaning of f.479. (b) Is f.479 usuall positive or negative? Eplain. 08. Newton s Law of Cooling This law states that the rate of change of the temperature of an object is proportional to the ifference between the object s temperature T an the temperature T a of the surrouning meium. Write an equation for this law. 09. Fin an equation of the parabola a b c that passes through 0, an is tangent to the line at, Let a, b be an arbitrar point on the graph of, > 0. Prove that the area of the triangle forme b the tangent line through a, b an the coorinate aes is.. Fin the tangent line(s) to the curve 9 through the point, 9.. Fin the equation(s) of the tangent line(s) to the parabola through the given point. (a) 0, a (b) a, 0 Are there an restrictions on the constant a? In Eercises an 4, fin a an b such that f is ifferentiable everwhere.. 4. st at c. C,008,000 Q f a, b, f cos, a b, 5. Where are the functions an ifferentiable? 6. Prove that 6.Q > < 0 0 cos sin. f sin f sin FOR FURTHER INFORMATION For a geometric interpretation of the erivatives of trigonometric functions, see the article Sines an Cosines of the Times b Victor J. Katz in Math Horizons. To view this article, go to the website

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

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

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

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 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

Product and Quotient Rules and Higher-Order Derivatives. The Product Rule

Product and Quotient Rules and Higher-Order Derivatives. The Product Rule 330_003.q 11/3/0 :3 PM Page 119 SECTION.3 Prouct an Quotient Rules an Higher-Orer Derivatives 119 Section.3 Prouct an Quotient Rules an Higher-Orer Derivatives Fin the erivative o a unction using the Prouct

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

p105 Section 2.2: Basic Differentiation Rules and Rates of Change

p105 Section 2.2: Basic Differentiation Rules and Rates of Change 1 2 3 4 p105 Section 2.2: Basic Differentiation Rules and Rates of Change Find the derivative of a function using the Constant Rule Find the derivative of a function using the Power Rule Find the derivative

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

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

The Chain Rule. y x 2 1 y sin x. and. Rate of change of first axle. with respect to second axle. dy du. du dx. Rate of change of first axle . The Chain Rule 9. 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 using

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

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

Infinite Limits. Let f be the function given by. f x 3 x 2.

Infinite Limits. Let f be the function given by. f x 3 x 2. 0_005.qd //0 :07 PM Page 8 SECTION.5 Infinite Limits 8, as Section.5, as + f() = f increases and decreases without bound as approaches. Figure.9 Infinite Limits Determine infinite its from the left and

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

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

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

More information

x 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

2.3 Product and Quotient Rules and Higher-Order Derivatives

2.3 Product and Quotient Rules and Higher-Order Derivatives Chapter Dierentiation. Prouct an Quotient Rules an Higher-Orer Derivatives Fin the erivative o a unction using the Prouct Rule. Fin the erivative o a unction using the Quotient Rule. Fin the erivative

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

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

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

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

Hyperbolic Functions

Hyperbolic Functions 88 CHAPTER 5 Logarithmic, Eponential, an Other Transcenental Functions Section 58 JOHANN HEINRICH LAMBERT (78 777) The first person to publish a comprehensive stu on hperbolic functions was Johann Heinrich

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

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

Antiderivatives Introduction

Antiderivatives Introduction Antierivatives 40. Introuction So far much of the term has been spent fining erivatives or rates of change. But in some circumstances we alreay know the rate of change an we wish to etermine the original

More information

Rolle s Theorem and the Mean Value Theorem. Rolle s Theorem

Rolle s Theorem and the Mean Value Theorem. Rolle s Theorem 0_00qd //0 0:50 AM Page 7 7 CHAPTER Applications o Dierentiation Section ROLLE S THEOREM French mathematician Michel Rolle irst published the theorem that bears his name in 9 Beore this time, however,

More information

Solution. ANSWERS - AP Physics Multiple Choice Practice Kinematics. Answer

Solution. ANSWERS - AP Physics Multiple Choice Practice Kinematics. Answer NSWRS - P Physics Multiple hoice Practice Kinematics Solution nswer 1. Total istance = 60 miles, total time = 1.5 hours; average spee = total istance/total time 2. rea boune by the curve is the isplacement

More information

AP Calculus AB Ch. 2 Derivatives (Part I) Intro to Derivatives: Definition of the Derivative and the Tangent Line 9/15/14

AP Calculus AB Ch. 2 Derivatives (Part I) Intro to Derivatives: Definition of the Derivative and the Tangent Line 9/15/14 AP Calculus AB Ch. Derivatives (Part I) Name Intro to Derivatives: Deinition o the Derivative an the Tangent Line 9/15/1 A linear unction has the same slope at all o its points, but non-linear equations

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

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

Techniques of Differentiation. Chapter 2 Section 2 Techniques of Differentiation 109. The Constant Rule For any constant c,

Techniques of Differentiation. Chapter 2 Section 2 Techniques of Differentiation 109. The Constant Rule For any constant c, Chapter 2 Section 2 Techniques of Differentiation 109 UNEMPLOYMENT 34. In economics, the graph in Figure 2.3 is calle the Phillips curve, after A. W. Phillips, a New Zealaner associate with the Lonon School

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

1.5. Analyzing Graphs of Functions. The Graph of a Function. What you should learn. Why you should learn it. 54 Chapter 1 Functions and Their Graphs

1.5. Analyzing Graphs of Functions. The Graph of a Function. What you should learn. Why you should learn it. 54 Chapter 1 Functions and Their Graphs 0_005.qd /7/05 8: AM Page 5 5 Chapter Functions and Their Graphs.5 Analzing Graphs of Functions What ou should learn Use the Vertical Line Test for functions. Find the zeros of functions. Determine intervals

More information

Properties of Limits

Properties of Limits 33460_003qd //04 :3 PM Page 59 SECTION 3 Evaluating Limits Analticall 59 Section 3 Evaluating Limits Analticall Evaluate a it using properties of its Develop and use a strateg for finding its Evaluate

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

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-CUTS TO DIFFERENTIATION

SHORT-CUTS TO DIFFERENTIATION Chapter Three SHORT-CUTS TO DIFFERENTIATION In Chapter, we efine the erivative function f () = lim h 0 f( + h) f() h an saw how the erivative represents a slope an a rate of change. We learne how to approimate

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

Day 4: Motion Along a Curve Vectors

Day 4: Motion Along a Curve Vectors Day 4: Motion Along a Curve Vectors I give my stuents the following list of terms an formulas to know. Parametric Equations, Vectors, an Calculus Terms an Formulas to Know: If a smooth curve C is given

More information

Tangent Line Approximations

Tangent Line Approximations 60_009.qd //0 :8 PM Page SECTION.9 Dierentials Section.9 EXPLORATION Tangent Line Approimation Use a graphing utilit to graph. In the same viewing window, graph the tangent line to the graph o at the point,.

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

3.2 Differentiability

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

More information

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

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

Tangent Line Approximations. y f c f c x c. y f c f c x c. Find the tangent line approximation of. f x 1 sin x

Tangent Line Approximations. y f c f c x c. y f c f c x c. Find the tangent line approximation of. f x 1 sin x SECTION 9 Differentials 5 Section 9 EXPLORATION Tangent Line Approimation Use a graphing utilit to graph f In the same viewing window, graph the tangent line to the graph of f at the point, Zoom in twice

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

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

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

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

More information

Additional Exercises for Chapter 10

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

More information

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 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

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

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

Review Exercises for Chapter 2

Review Exercises for Chapter 2 Review Eercises for Chapter 367 Review Eercises for Chapter. f 1 1 f f f lim lim 1 1 1 1 lim 1 1 1 1 lim 1 1 lim lim 1 1 1 1 1 1 1 1 1 4. 8. f f f f lim lim lim lim lim f 4, 1 4, if < if (a) Nonremovable

More information

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

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

More information

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video

Increasing and Decreasing Functions and the First Derivative Test. Increasing and Decreasing Functions. Video SECTION and Decreasing Functions and the First Derivative Test 79 Section and Decreasing Functions and the First Derivative Test Determine intervals on which a unction is increasing or decreasing Appl

More information

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

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

More information

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

Derivatives of Multivariable Functions

Derivatives of Multivariable Functions Chapter 0 Derivatives of Multivariable Functions 0. Limits Motivating Questions In this section, we strive to understand the ideas generated b the following important questions: What do we mean b the limit

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

CHAPTER 2 Differentiation

CHAPTER 2 Differentiation CHAPTER Differentiation Section. The Derivative and the Slope of a Graph............. 9 Section. Some Rules for Differentiation.................. 56 Section. Rates of Change: Velocit and Marginals.............

More information

What will you learn?

What will you learn? Section 2.2 Basic Differentiation Rules & Rates of Change Calc What will you learn? Find the derivative using the Constant Rule Find the derivative using the Power Rule Find the derivative using the Constant

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

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

MATH 205 Practice Final Exam Name:

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

More information

Math Worksheet 1 SHOW ALL OF YOUR WORK! f(x) = (x a) 2 + b. = x 2 + 6x + ( 6 2 )2 ( 6 2 )2 + 7 = (x 2 + 6x + 9) = (x + 3) 2 2

Math Worksheet 1 SHOW ALL OF YOUR WORK! f(x) = (x a) 2 + b. = x 2 + 6x + ( 6 2 )2 ( 6 2 )2 + 7 = (x 2 + 6x + 9) = (x + 3) 2 2 Names Date. Consider the function Math 0550 Worksheet SHOW ALL OF YOUR WORK! f() = + 6 + 7 (a) Complete the square and write the function in the form f() = ( a) + b. f() = + 6 + 7 = + 6 + ( 6 ) ( 6 ) +

More information

CHAPTER 3 DERIVATIVES (continued)

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

More information

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

Types of Motion. Photo of ball falling

Types of Motion. Photo of ball falling Gravity an Projectiles Acceleration of Gravity Loses spee for each interval of time it rises on an upwar throw Gains at same rate on its ownwar path Upwar motion Acte upon by gravity, just like a falling

More information

Implicit Differentiation and Related Rates

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

More information

13.1. For further details concerning the physics involved and animations of the trajectories of the particles, see the following websites:

13.1. For further details concerning the physics involved and animations of the trajectories of the particles, see the following websites: 8 CHAPTER 3 VECTOR FUNCTIONS N Some computer algebra sstems provie us with a clearer picture of a space curve b enclosing it in a tube. Such a plot enables us to see whether one part of a curve passes

More information

One of the most common applications of Calculus involves determining maximum or minimum values.

One of the most common applications of Calculus involves determining maximum or minimum values. 8 LESSON 5- MAX/MIN APPLICATIONS (OPTIMIZATION) One of the most common applications of Calculus involves determining maimum or minimum values. Procedure:. Choose variables and/or draw a labeled figure..

More information

Study Guide and Intervention

Study Guide and Intervention 6- NAME DATE PERID Stud Guide and Intervention Graphing Quadratic Functions Graph Quadratic Functions Quadratic Function A function defined b an equation of the form f () a b c, where a 0 b Graph of a

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

2.5 CONTINUITY. a x. Notice that Definition l implicitly requires three things if f is continuous at a:

2.5 CONTINUITY. a x. Notice that Definition l implicitly requires three things if f is continuous at a: SECTION.5 CONTINUITY 9.5 CONTINUITY We noticed in Section.3 that the it of a function as approaches a can often be found simpl b calculating the value of the function at a. Functions with this propert

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

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

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

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

DEFINITION Derivative Function. The derivative of the function ƒ(x) with respect to the variable x is the function ƒ whose value at x is.

DEFINITION Derivative Function. The derivative of the function ƒ(x) with respect to the variable x is the function ƒ whose value at x is. Chapter 3 DIFFERENTIATION OVERVIEW In Chapter 2, we efine the slope of a curve at a point as the limit of secant slopes. This limit, calle a erivative, measures the rate at which a function changes, an

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

CHAPTER 3 Applications of Differentiation

CHAPTER 3 Applications of Differentiation CHAPTER Applications of Differentiation Section. Etrema on an Interval.............. 0 Section. Rolle s Theorem and the Mean Value Theorem. 07 Section. Increasing and Decreasing Functions and the First

More information

Math 11 Fall 2016 Section 1 Monday, September 19, Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v

Math 11 Fall 2016 Section 1 Monday, September 19, Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v Math Fall 06 Section Monay, September 9, 06 First, some important points from the last class: Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v passing through

More information

Law of Sines, Law of Cosines, Heron s Formula:

Law of Sines, Law of Cosines, Heron s Formula: PreAP Math Analsis nd Semester Review Law of Sines, Law of Cosines, Heron s Formula:. Determine how man solutions the triangle has and eplain our reasoning. (FIND YOUR FLOW CHART) a. A = 4, a = 4 ards,

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

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

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

( ) ( ) ( ) 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

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

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS

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

More information

Algebra I Practice Questions ? 1. Which is equivalent to (A) (B) (C) (D) 2. Which is equivalent to 6 8? (A) 4 3

Algebra I Practice Questions ? 1. Which is equivalent to (A) (B) (C) (D) 2. Which is equivalent to 6 8? (A) 4 3 1. Which is equivalent to 64 100? 10 50 8 10 8 100. Which is equivalent to 6 8? 4 8 1 4. Which is equivalent to 7 6? 4 4 4. Which is equivalent to 4? 8 6 Page 1 of 0 11 Practice Questions 6 1 5. Which

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

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

Outline. Calculus for the Life Sciences II. Introduction. Tides Introduction. Lecture Notes Differentiation of Trigonometric Functions

Outline. Calculus for the Life Sciences II. Introduction. Tides Introduction. Lecture Notes Differentiation of Trigonometric Functions Calculus for the Life Sciences II c Functions Joseph M. Mahaffy, mahaffy@math.ssu.eu Department of Mathematics an Statistics Dynamical Systems Group Computational Sciences Research Center San Diego State

More information

What Is Calculus? 42 CHAPTER 1 Limits and Their Properties

What Is Calculus? 42 CHAPTER 1 Limits and Their Properties CHAPTER Limits an Their Properties Section STUDY TIP As ou progress through this course, remember that learning calculus is just one of our goals Your most important goal is to learn how to use calculus

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

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

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

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

Fair Game Review. Chapter 10

Fair Game Review. Chapter 10 Name Date Chapter 0 Evaluate the expression. Fair Game Review. 9 +. + 6. 8 +. 9 00. ( 9 ) 6. 6 ( + ) 7. 6 6 8. 9 6 x 9. The number of visits to a website can be modeled b = +, where is hundreds of visits

More information