Calculus 3: Final Exam Solutions, APPM 2350, Fall 2008, Exams of Advanced Calculus

The solutions to the final exam of the calculus 3 course (appm 2350) held in fall 2008. The solutions cover various topics such as implicit differentiation, ellipses, limits, differentiability, and optimization. The document also includes the use of green's theorem and stoke's theorem.

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Final Solutions
APPM 2350, Calculus 3, Fall 2008
December 17, 2008
1. Answers in table form: a. b. c. d. e. f. g. h. i. j.
C B C D A C D D A B
(a) Implicit differentation gives a+bdy
dx = 0. Solving for the slope gives dy
dx =a
b.
The normal slope is b
a, so answer C.
(b) This is B.
(c) The ellipse is parametrized with x(t) = acos tand y(t) = bsin tfrom 0 t2π.
The arc length of this curve is given in answer C.
(d) Consider the set of paths, y=kx2x, for constants k6= 0. Then,
xy
x+y=kx3x2
kx2=x1
k,(1)
which goes to -1/k as x0. By the two-path test, this limit does not exist.
Pick D.
(e) As a function of t,f(x(t), y(t)) = sin2(t2) + cos2(t2) = 1, and its differential is
df = 0dt. Therefore there is no uncertainty. Sorry Heisenberg, its A.
(f) For f(x, y, z) = xyz, we have fx=yz
2x,fy=xz
2y, and fz=xy
2z. The
linearization about (1,1,1) is given by
f(1,1,1) + fx(1,1,1)(x1) + fy(1,1,1)(y1) + fz(1,1,1)(z1) =
1 + 1
2(x+y+z3) = 1
2(1 xyz)
This matches C.
(g) f(x, y) = (tan x)(cos y), f= sec2xcos yitan xsin yjat (0,0) the direction
of fastest decrease is −∇f(0,0) = i, which has θ=π, pick D.
(h) Switching the ordering gives D.
(i) This is A.
(j) Answer B passes the test M
∂y =∂N
∂x , and its potential function is f(x, y) = x2y2
2.
1
pf3
pf4
pf5

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Final Solutions

APPM 2350, Calculus 3, Fall 2008

December 17, 2008

  1. Answers in table form: a.^ b.^ c.^ d.^ e.^ f.^ g.^ h.^ i.^ j. C B C D A C D D A B

(a) Implicit differentation gives a + b (^) dxdy = 0. Solving for the slope gives dy dx = − a b. The normal slope is (^) ab , so answer C. (b) This is B. (c) The ellipse is parametrized with x(t) = a cos t and y(t) = b sin t from 0 ≤ t ≤ 2 π. The arc length of this curve is given in answer C. (d) Consider the set of paths, y = kx^2 − x, for constants k 6 = 0. Then, xy x + y

kx^3 − x^2 kx^2

= x −

k

which goes to -1/k as x → 0. By the two-path test, this limit does not exist. Pick D. (e) As a function of t, f (x(t), y(t)) = sin^2 (t^2 ) + cos^2 (t^2 ) = 1, and its differential is df = 0dt. Therefore there is no uncertainty. Sorry Heisenberg, its A. (f) For f (x, y, z) =

xyz, we have fx =

√yz 2 √x ,^ fy^ =

√xz 2 √y , and^ fz^ =

√xy 2 √z.^ The linearization about (1,1,1) is given by f (1, 1 , 1) + fx(1, 1 , 1)(x − 1) + fy(1, 1 , 1)(y − 1) + fz (1, 1 , 1)(z − 1) = 1 +

(x + y + z − 3) = −

(1 − x − y − z)

This matches C. (g) f (x, y) = (tan x)(cos y), ∇f = sec^2 x cos y i − tan x sin y j at (0, 0) the direction of fastest decrease is −∇f (0, 0) = −i, which has θ = π, pick D. (h) Switching the ordering gives D. (i) This is A. (j) Answer B passes the test ∂M ∂y = ∂N ∂x , and its potential function is f (x, y) = x

(^2) y 2

  1. The curve is given by C : {x(t) = t^2 , y(t) = t^3 − t, − 1 ≤ t ≤ 1 }.

(a) We have x′(t) = 2t and y′(t) = 3t^2 − 1, so x′(1/2) = 1 and y′(1/2) = − 1 /4. Therefore, dy dx = y′(1/2)/x′^ (1/2) = − 1 /4. The location of the point is (x(1/2), y(1/2)) = (1/ 4 , − 3 /8). The equations are: Tangent: (y + 3/8) = − 14 (x − 1 /4) Normal: (y + 3/8) = 4(x − 1 /4) (b) Set g(t) = f (x(t), y(t)) = t^2 +t^3 −t. Then, use the single-variable first-derivative test: g′(t) = 2t + 3t^2 − 1 = 0. The solutions to this quadratic equation are t = {− 1 , 1 / 3 }, but t = −1 is not on the interior of our interval. A second derivative test, g′′(t) = 6t + 2, g′′(1/3) = 4, shows there is a local minimum at t = 1/3. We also need to test the values of the endpoints t = −1 and t = 1.

t x(t) y(t) f (x(t), y(t)) Classification of Point -1 1 0 1 Global Maximum 1/3 1/9 -8/27 -5/27 Global Minimum 1 1 0 1 Global Maximum

(c) Using Green’s Theorem on the field F = yj, we have the following area formula: ∫ ∫

R

dA =

R

∂N

∂y

dA = −

C

N dx = −

C

y dx. (2)

C

y dx = −

− 1

(t^3 − t)(2t) dt = − 2

t^5 5

t^3 3

− 1

  1. (a) dP dt

∂P

∂g

dz dt

∂P

∂T

∂T

∂x

dx dt

∂T

∂y

dy dt

∂T

∂z

dz dt

∂P

∂z

dz dt

dP dt

t 1

(b) dP ds

dP dt

dt ds

|v|

dP dt

dP ds

t 1

32 + 4^2

(c) u = −∇T = −j − 2 k and set the other vector orthogonal to ∇T , w = i or w = 2j − k.

  1. f (x, y) = 2xy + 1

(a) The two-variable, first derivative test gives the linear system

(1) fx = 0 : 2 y = 0 (2) fy = 0 : 2 x = 0

Equation (1) implies y = 0 and Equation (2) shows x = 0. Therefore the only critical point is (0, 0). To classify this point, use the second derivative test. We have fxx = fyy = 0, fxy = 2, and the discriminant fxxfyy − f (^) xy^2 = −4. So (0,0) is a Saddle Point. (b) (1) fx = 0 : 2 y = λ 2 x (2) fy = 0 : 2 x = λ 2 y (12) First, solving Equation (1) for y gives y = λx. Plugging this into Equation (2) and simplifying gives x = λ^2 x. This implies x = 0 or λ^2 = 1. If x = 0, then y = 0 (by either (1) or (2)), and the point (0, 0) is not on the constraint. Thus, λ^2 = 1, meaning either λ = 1 or λ = −1. If λ = 1, then Equation (1) implies x = y. Plugging this into the constraint yields 2x^2 = 1, or x = ± 1 /

2, or (± 1 /

2). If λ = −1, then x = −y, which, plugged into the constraint, also yields x = ± 1 /

2, or (± 1 /

(c) The following table shows the values of f (x, y) and the classification for these five points: (x, y) f (x, y) Classification of Point (0, 0) 1 Saddle Point (1/

  1. 2 Global Maximum (1/
  1. 0 Global Minimum (− 1 /
  1. 0 Global Minimum (− 1 /
  1. 2 Global Maximum

(d) Let g(x, y) = 2xy−z = −1. Then ∇g = 2y i+2x j−k and |∇g| =

4 x^2 + 4y^2 + 1. This surface is most easily integrated by projecting into the xy plane, so let p = k and let R be the shadow, the unit circle, x^2 + y^2 ≤ 1. Employing the surface integral formula gives:

∫ ∫

S

dσ =

R

|∇g| |∇g · k| dA

R

4 x^2 + 4y^2 + 1 1

dA