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

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1 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 on the actual test. I will post the solutions on my web site. The solutions are what I woul accept on a test, but you may want to a more etail, an explain your steps with wors remember, you can get part marks for talking about a problem! There will be five problems on the test. Most will involve more than one part. You will have 100 minutes to complete the test. You may not use Mathematica or calculators on this test. 1. Fin the absolute maximum an absolute minimum values of f on the given interval. 2. Given f(x) = x x, [1 2, 2] f(x) = xe x, f (x) = (1 x)e x f (x) = (x 2)e x (a) fin the intervals of increase or ecrease (b) fin any local maximum or minimum values (c) fin the intervals of concavity an any inflection points () fin any vertical an horizontal asymptotes (e) sketch the graph of f(x) 3. Use L Hospital s Rule to fin x x2 e x 4. Use logarithms an L Hospital s Rule to fin ( ) x x 5. Use L Hospital s Rule to show that f(x + h) 2f(x) + f(x h) h 0 h 2 = f (x). 6. A farmer with 750 ft of fencing wants to enclose a rectangular area with one sie of the rectangle against her barn. She then wants to ivie this rectangle into four pens with fencing parallel to one sie of the rectangle, where each pen is accessible from the barn. What is the largest possible total area of the four pens? 7. A rectangular poster is to have an area of 180 in 2 with one inch margins at the bottom an sies an a 2 inch margin at the top. What imensions will give the largest printe area? 8. A box with an open top is to be constructe from a square piece of carboar, 3 ft wie, by cutting out a square from each of the four corners an bening up the sies. Fin the largest volume that such a box can have. 9. Newton s Metho approximates roots x r of f(x r ) = 0 by iterating the equation x n+1 = x n f(x n) f (x n ). Describe in etail (with iagrams an wors) three ways that the metho can fail. 10. A particle is moving with the given ata. Fin the position of the particle. a(t) = 10 + cos t + t, s(0) = 0, s(π) = Fin f(x) given that f (x) = 3e x + 5 sin x, f(0) = 1, f (π/2) = 2.

2 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 2 of 10 Solutions Problem 1. f(x) is continuous on the interval, an the interval is close. We can fin extrema by looking at f(x) at the enpoints an at any critical numbers in the interval (asie: the name for this is the Close Interval Metho). Critical numbers are when f (x) = 0 or oes not exist. f (x) = [ x ] x x = 2x 2 x 2 f (x) oes not exist when x = 0, so x = 0 is a critical number. However, x = 0 is not in the interval [1/2, 2], so we will not consier it. Solve f (x) = 0 for x: f (x) = 0 2x 2 x 2 = 0 2x 3 2 x 2 = 0 2x 3 2 = 0 if x 0 x 3 = 1 x = ±1 The critical number x = 1 is outsie the interval [1/2, 2]. Therefore, the only critical number we have insie the interval [1/2, 2] is x = 1. f(1/2) = ( ) /2 = = 4.25 f(2) = (2) = = 5 f(1) = (1) = = 3 The absolute maximum is 5 at x = 2. The absolute minimum is 3 at x = 1. Problem 2. Intervals of Increasing/Decreasing: Solve f (c) = (1 c)e c = 0. Since e x 0, the only solution is c = +1. This is the only critical number for f (x) since f (x) exists for all x. Write own a table showing where f(x) is increasing an ecreasing: Interval f (a) (a is in interval) Sign of f f (, 1) f (0) = 1 + increasing (1, ) f (3) = 2e 3 ecreasing Max/Min: f goes from increasing to ecreasing at x = 1 local max. f(1) = e 1 = 1 e. Point: (1, 1/e) Intervals of Concave Up/Concave Down: Solve f (c) = (c 2)e c = 0. Since e x 0, the only solution is c = +2. This is the only critical number for f (x) since f (x) exists for all x. Write own a table showing where f(x) is concave up an own:

3 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 3 of 10 Interval f (a) (a is in interval) Sign of f f (, 2) f (0) = 2 Concave Down (2, ) f (3) = e 3 + Concave Up Points of Inflection: The function f goes from concave own to concave up at x = 2 point of inflection. f(2) = 2e 2 = 2/e 2. Point: (2, f(2)) = (2, 2/e 2 ) Horizontal Asymptotes: ( f(x) xe x ) 0 ineterminant prouct ( x ) e x ineterminant quotient; use L Hospital s Rule x [x] x [ex ] ( ) 1 e x = 0 since e x = The line y = 0 is a horizontal asymptote. f(x) x = ( xe x ) x ( )( ) = There is no horizontal asymptote as x. Vertical Asymptotes: f(x) = ± x = a is a vertical asymptote x a This will not happen for our function. Our function has no vertical asymptotes. Sketch: Putting everything together from our etaile analysis, we get

4 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 4 of 10 Problem 3. x x2 e x 0 ineterminant prouct Problem 4. Asie: x x 2 e x x [x2 ] x x [e x ] 2x x e x = x = = = 0 2x e x x [2x] x x [e x ] 2 x e x 2 x e x ineterminant quotient; use L Hospital s Rule ineterminant quotient; use L Hospital s Rule ( ) x x ( )? Use logarithms to get the power own ( ) x x y = [( ) x ] x ln y = ln ( ) x ln y = x ln ( ) x ln y x ln x /x = = 1 ( ) x ln y x ln ln (1) = 0 ineterminant prouct ln ln y ( x x x+1 1 x [ ln x ) 0 0 ( )] x [ ] 1 x ineterminant quotient; use L Hospital s Rule

5 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 5 of 10 So ln y = 1. However, we wante Problem 5. ( x x x [ ] 1 x x/() x ( 1x ) 2 ) x () x ( x2 ) x [x] x [] x () 2 eln y = e ln y = e 1 = 1 e = = 1 f(x + h) 2f(x) + f(x h) h 0 h h 0 h 0 inetereminant quotient; use L Hospital s Rule [f(x + h) 2f(x) + f(x h)] h h [h2 ] [f(x + h)] + h h 2h [f(x h)] = f (x + h) h [x + h] + f (x h) [x h] h h 0 2h chain rule = f (x + h) f (x h) 0 h 0 2h 0 ineterminant quotient; use L HR = h [f (x + h) f (x h)] h 0 h [2h] f (x + h) h [x + h] f (x h) [x h] h h 0 2 f (x + h) + f (x h) h 0 2 = f (x + 0) + f (x 0) 2 = 2f (x) = f (x) 2

6 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 6 of 10 Problem 6. This is an optimization problem where we want to maximize the total area enclose. The perimeter of the fencing must be 750 ft. This is the constraint we will use to einate any extra variables in the expression for the total area, since we only know how to optimize a function of one variable. Diagram: Notice that the pens o not have to be the same size! The total area is A = xy. The total perimeter is P = 5y + x = 750 (the barn sie oes not require fencing, so we get x instea of 2x). Let s write x = 750 5y an the total area can be expresse as a function of one variable: A(y) = (750 5y)y = 750y 5y 2. Since this function is a parabola opening own, when we fin the extrema it will be a maximum. Also, it must be an absolute maximum ue to the shape of a parabola. To fin an extrema, solve A (y) = 0 for y. A(y) = 750y 5y 2 A (y) = y [750y 5y2 ] = y 0 = y y = 75 Therefore, the maximum are will be when y = 75 ft, or A(75) = ft 2. Problem 7. Here we are trying to maximize the printe area. Diagram:

7 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 7 of 10 Area of printe region = A = (x 3)(y 2). Area of poster is = xy = 180 in 2. Let s write y = 180/x an the total area can be expresse as a function of one variable: ( ) 180 A(x) = (x 3) x 2 = x + 6 = 186 2x x x. To fin an extrema, solve A (x) = 0 for x. A (x) = x 2 0 = 2x x 2 0 = 2x x = 270 in. We must answer the question of whether this value of x prouces a maximum or a minimum. Let s show that at x = 270 A(x) is concave own, an so we will have a maximum. A (x) = x 2 A (x) = 1080 x 3 A ( 270) = 1080 (270) 3/2 < 0 Since the secon erivative is less than zero at x = 270, we know that the function is concave own at that point. Therefore we have foun a maximum. The geometry of the situation (area of a rectangle) tells us that we will have a single maximum, therefore we have an absolute maximum if the poster has imensions x = 270 in, y = 180/ 270 in. Problem 8. If we construct a box as the problem suggests, all the squares which are cut out must have the same shape. Let s say these squares which are cut out are y y ft 2. Diagram:

8 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 8 of 10 The other imension on the flap we will label as x. This leas to the relation x + 2y = 3. When we fol the sies up, the volume of the box that is create will be V = x 2 y. Let s write x = 3 2y an the total volume can be expresse as a function of one variable: V (y) = (3 2y) 2 y = (9 12y + 4y 2 )y = 9y + 4y 3 12y 2. To fin an extrema, solve V (y) = 0 for y. V (y) = 9y + 4y 3 12y 2 V (y) = y 2 24y V (y) = y 2 24y 0 = 12y 2 24y + 9 Using the quaratic formula, we can solve for y: y = b ± b 2 4ac 2a = 24 ± (24) 2 4(12)(9) 2(12) 24 ± 12 = 24 = or = 3 2 or 1 2 Which one is the maximum? Are they both maximums? Let s answer this question by looking at the concavity. V (y) = 24y 24 V (1/2) = 24(1/2) 24 = 12 < 0 concave own, so y = 1/2 prouces a max V (3/2) = 24(3/2) 24 = +12 > 0 concave up, so y = 3/2 prouces a min Therefore, the maximum volume of the box is V (1/2) = 2 in 3.

9 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 9 of 10 Another way to argue that y = 1/2 prouces the max is that if y = 3/2 then x = 3 2y = 0, an the box becomes unphysical (zero volume). Also, if y = 0, the box is unphysical (zero volume). Therefore, function we wish to maximize if V (y) = 9y + 4y 3 12y 2, y [0, 3/2], which is continuous on its omain. V (0) = 0. V (1/2) = 2. V (3/2) = 0. So the maximum is at y = 1/2 by the Close Interval Theorem. Problem 9. Here are three problems with Newton s Metho: i) If f (x n ) 0, you can get a situation like the following. The next approximation coul be extremely far away from the root! ii) If you have two roots which are close together, you cannot tell which root Newton s Metho has foun. iii) Newton s metho can get stuck in the following manner (or in more complicate manners), an just oscillate forever without fining the root x r : Problem 10. This is an antiifferentiation problem a(t) = 10 + cos t + t 1/2 v(t) = 10t + sin t + t3/2 3/2 + c 1 v(t) = 10t + sin t t3/2 + c 1 s(t) = 5t 2 cos t + 2 t 5/2 3 5/2 + c 1t + c 2 s(t) = 5t 2 cos t t5/2 + c 1 t + c 2

10 Calculus I Sec 2 Practice Test Problems for Chapter 4 Page 10 of 10 Now we use the conitions to etermine the constants c 1 an c 2 : s(0) = 5(0) 2 cos (0)5/2 + c 1 (0) + c 2 0 = 1 + c 2 c 2 = 1 Therefore, s(π) = 5(π) 2 cos π (π)5/2 + c 1 (π) = 5π π5/2 + c 1 π + 1 c 1 = 1 π 5π 4 15 π3/2 s(t) = 5t 2 cos t t5/2 t( 1 π 5π 4 15 π3/2 ) + 1 Problem 11. This is an antierivative problem. f (x) = 3e x + 5 sin x f (x) = 3e x 5 cos x + c 1 f(x) = 3e x 5 sin x + c 1 x + c 2 Now we use the conitions to etermine the constants c 1 an c 2 : f(0) = 3e 0 5 sin 0 + c 1 (0) + c 2 1 = 3 + c 2 c 2 = 2 Therefore, f (π/2) = 3e π/2 5 cos π/2 + c 1 2 = 3e π/2 + c 1 c 1 = 2 3e π/2 f(x) = 3e x 5 sin x + (2 3e π/2 )x 2