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Math 214, Calculus III Final Exam Solutions 1. (25 points) Suppose ...

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<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

<strong>1.</strong> (<strong>25</strong> <strong>points</strong>) <strong>Suppose</strong> we know that for a certain function f(x, y),<br />

f(3, 4) = <strong>25</strong>, f x (3, 4) = 6, f y (3, 4) = 8, and f(4, 5) = 4<strong>1.</strong><br />

(a) Find a linear function L(x, y) that approximates f as well as possible near (3, 4).<br />

Solution: The linear function L that best approximates f near (3, 4) is the linearization,<br />

L(x, y) = f(3, 4)+[f x (3, 4)](x−3)+[f y (3, 4)](y−4) = [<strong>25</strong>]+[6](x−3)+[8](y−4) = 6x+8y−<strong>25</strong>.<br />

That is, z = 6x + 8y − <strong>25</strong> is the equation of the tangent plane to z = f(x, y) at the point<br />

(3, 4, <strong>25</strong>).<br />

(b) Use L to estimate f(2.9, 3.9), f(3.1, 4.1) and f(4, 5).<br />

Solution: Using the linear function L(x, y) = 6x + 8y − <strong>25</strong> above as an approximation<br />

of f(x, y), we estimate<br />

f(2.9, 3.9) ≈ L(2.9, 3.9) = <strong>25</strong> + 6([2.9] − 3) + 8([3.9] − 4) = <strong>25</strong> − 0.6 − 0.8 = 23.6,<br />

f(3.1, 4.1) ≈ L(3.1, 4.1) = <strong>25</strong> + 6([3.1] − 3) + 8([4.1] − 4) = <strong>25</strong> + 0.6 + 0.8 = 26.4,<br />

f(4, 5) ≈ L(4, 5) = <strong>25</strong> + 6([4] − 3) + 8([5] − 4) = <strong>25</strong> + 6 + 8 = 39.<br />

(c) Could f itself be a linear function? Why or why not?<br />

Solution: If f is a linear function, then we must have f = L, since L is the linear<br />

function that is the best approximation of f. However, f(4, 5) = 41 while L(4, 5) = 39<br />

implies f ≠ L. Thus, we conclude that f is not a linear function.<br />

2. (<strong>25</strong> <strong>points</strong>) Consider the function<br />

where C is some constant.<br />

f(x, y) = x 2 + y 2 + Cxy<br />

(a) Show that (0, 0) is a critical point of f.<br />

Solution: The point (0, 0) will be a critical point of f provided f x (0, 0) = f y (0, 0) = 0.<br />

So consider<br />

f x (x, y) = 2x + Cy and f y (x, y) = 2y + Cx.<br />

Then, no matter what the value of C happens to be, we see that<br />

f x (0, 0) = 2[0] + C[0] = 0 and f y (0, 0) = 2[0] + C[0] = 0.<br />

Therefore, (0, 0) is a critical point of f.<br />

(b) For what values of C, if any, does f have a local minimum at (0, 0)?<br />

Solution: To determine whether f has a local max, min or saddle point at any of its<br />

critical <strong>points</strong>, we employ the Second Derivative Test. So, to get things started, we<br />

compute the second partial derivatives of f:<br />

f xx (x, y) = 2, f xy (x, y) = C = f yx (x, y), and f yy (x, y) = 2.<br />

Thus the discriminant of f is<br />

D(x, y) = f xx (x, y)f yy (x, y) − f xy (x, y)f yx (x, y) = [2][2] − [C][C] = 4 − C 2


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

for all <strong>points</strong> (x, y). Recall that if D(x, y) > 0, then all of the concavities of f at (x, y)<br />

agree (i.e., the graph of f is either concave up in all directions at (x, y) or it is concave<br />

down in all directions at (x, y)); if D(x, y) < 0, then there are at least two directions<br />

in one of which the graph of f is concave up and in the other it is concave down (i.e.,<br />

the concavities don’t all agree at (x, y)); if D(x, y) = 0, then the Second Derivative Test<br />

doesn’t know what to do.<br />

Let’s first address the possibility of D = 0: i.e., C 2 = 4. Then C = ±2, so<br />

f(x, y) = x 2 + y 2 + 2xy = (x + y) 2 or f(x, y) = x 2 + y 2 − 2xy = (x − y) 2 .<br />

The graph of either of these functions is a parabolic cylinder whose vertex is along the<br />

line x+y = 0 (when C = 2) of along the line x−y = 0 (when C = −2) and the parabolas<br />

are all opening up. So, as (0, 0) is on the vertex line for these parabolic cylinders and<br />

the parabolas in the cylinder all open up, (0, 0) is a local minimum of f when C = ±2.<br />

Now consider the situation when the Second Derivative Test will be conclusive, i.e.,<br />

D ≠ 0. In order for f to have a minimum at (0, 0), first of all the discriminant must be<br />

positive, so 4 − C 2 > 0 which implies that C 2 < 4 so −2 < C < 2. Then, so long as<br />

−2 < C < 2, (0, 0) will be a minimum of f provided that f xx (0, 0) > 0, since this implies<br />

that the graph of f is concave up in all directions at (0, 0). But f xx (0, 0) = 2 > 0, so<br />

the graph of f is concave up and (0, 0) is a minimum (with f(0, 0) = 0 as the minimum<br />

value of f). Therefore, f has a local minimum at the point (0, 0) if<br />

−2 ≤ C ≤ 2.<br />

(c) For what values of C, if any, does f have a local maximum at (0, 0)?<br />

Solution: From the analysis in part (b), for f to have any chance to have a local<br />

maximum at (0, 0), we need D(0, 0) > 0, so −2 < C < 2, to ensure that all of the<br />

concavities of the graph of f agree at (0, 0) and we need f xx (0, 0) < 0 to imply that<br />

these concavities are all down to conclude that f has a local max at (0, 0). However,<br />

f xx (0, 0) = 2 > 0 is not less than zero. Therefore, there is<br />

for which f has a local maximum at (0, 0).<br />

no value of C<br />

(d) For what values of C, if any, does f have a saddle point at (0, 0)?<br />

Solution: Appealing to our work in part (b) again, we know that f will have a<br />

saddle point at (0, 0) so long as the discriminant is negative, as this will imply that<br />

the concavities in two different directions disagree with one another. Thus, we want<br />

D(0, 0) = 4 − C 2 < 0, i.e., 4 < C 2 . This inequality has the solution<br />

C < −2 or C > 2<br />

and either of these options will imply that f has a saddle point at (0, 0).<br />

3. (<strong>25</strong> <strong>points</strong>) A flat circular plate has the shape of the region x 2 + y 2 ≤ <strong>1.</strong> The plate, including<br />

the boundary where x 2 + y 2 = 1, is heated so that the temperature at the point (x, y) is<br />

T (x, y) = x 2 + 2y 2 − x.<br />

Find the temperatures at the hottest and coldest <strong>points</strong> on the plate.


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

Solution: This is an extreme value problem with constraints, i.e., that we’re looking for the<br />

absolute maximum and absolute minimum values of the function T (x, y) = x 2 + 2y 2 − x on<br />

the region x 2 + y 2 ≤ <strong>1.</strong> So, to begin, we look for critical <strong>points</strong> of T in the interior of the<br />

plate, x 2 + y 2 < <strong>1.</strong> Thus, consider<br />

T x (x, y) = 2x − 1 = 0 =⇒ x = 1/2, T y (x, y) = 4y = 0 =⇒ y = 0<br />

Therefore, (1/2, 0) is the only critical point of the function T (x, y) and (1/2, 0) is within the<br />

interior of the plate, as (1/2) 2 + (0) 2 = 1/4 < <strong>1.</strong> Moreover, we have<br />

T xx = 2, T xy = 0 = T yx , T yy = 4 =⇒ D = [2][4] − [0] 2 = 8 > 0<br />

implies that (1/2, 0) is a local minimum of the function T since D > 0 implies all of the<br />

concavities agree at (1/2, 0) and T xx (1/2, 0) = 2 > 0 implies these concavities are all up,<br />

meaning that (1/2, 0, −1/4) is a local minimum point.<br />

Now we consider the boundary of the plate and search for extreme values subject to the<br />

constraint x 2 + y 2 = 1, i.e., y 2 = 1 − x 2 , so that we may write T in terms of just the variable<br />

x as<br />

T (x, ± √ 1 − x 2 ) = x 2 + 2(1 − x 2 ) − x = −x 2 − x + 2.<br />

Then T ′ (x) = −2x − 1, which is zero when x = −1/2, so y = ± √ 1 − (−1/2) 2 = ± √ 3/4.<br />

That is, T has “critical <strong>points</strong>” on the boundary, x 2 + y 2 = 1, at the <strong>points</strong> (−1/2, √ 3/4)<br />

and (−1/2, − √ 3/4), at which <strong>points</strong> T has the values<br />

T (−1/2, ± √ 3/4) = (−1/2) 2 + 2(± √ 3/4) 2 − (−1/2) = 1/4 + 2(3/4) + 1/2 = 9/4.<br />

So, from our analysis, the only possible <strong>points</strong> where absolute extreme values of T can occur<br />

are at the one interior point (1/2, 0), where T (1/2, 0) = −1/4, and at the two boundary<br />

<strong>points</strong> (−1/2, ± √ 3/4), where T (−1/2, ± √ 3/4) = 9/4. Since 9/4 > −1/4, we conclude that<br />

the temperature at the hottest point(s) on the plate is 9/4 = 2.<strong>25</strong>, which occurs at the two<br />

boundary <strong>points</strong> (−1/2, ± √ 3/4), and at the coldest point on the plate, i.e., at (1/2, 0), the<br />

temperature is T (1/2, 0) = −1/4 = −0.<strong>25</strong>.<br />

4. (<strong>25</strong> <strong>points</strong>) Consider the curve r(t) = 〈cos(t) + t sin(t), sin(t) − t cos(t)〉 defined for t > 0.<br />

(a) Find the velocity vector, v(t), for this curve.<br />

Solution: The velocity vector is v(t) = r ′ (t), so it is<br />

v(t) = 〈− sin(t) + t cos(t) + sin(t), cos(t) − t(− sin(t)) − cos(t)〉 = 〈t cos(t), t sin(t)〉.<br />

(b) Find the unit tangent vector, T(t), for this curve.<br />

Solution: The unit tangent vector is<br />

T(t) = 1<br />

|v(t)| v(t) = 1<br />

√ 〈t cos t, t sin t〉<br />

(t cos t) 2 + (t sin t) 2<br />

1<br />

= √<br />

t 2 (cos 2 t + sin 2 t) 〈t cos t, t sin t〉 = 1 〈t cos t, t sin t〉<br />

t<br />

= 〈cos t, sin t〉.


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

(c) Find the principal normal vector, N(t), for this curve.<br />

Solution: The principal normal vector is<br />

N(t) = 1<br />

|T ′ (t)| T′ (t) =<br />

1<br />

1<br />

√ 〈− sin t, cos t〉 = √ 〈− sin t, cos t〉 = 〈− sin t, cos t〉.<br />

(− sin t) 2 + (cos t) 2 1<br />

(d) Use your previous results together with the equation<br />

κN = dT<br />

ds = T′ (t)<br />

|r ′ (t)|<br />

to find the curvature κ for this curve.<br />

Solution: From part (a), we found that r ′ (t) = v(t) = 〈t cos(t), t sin(t)〉. In (b),<br />

we found T(t) = 〈cos t, sin t〉, so that T ′ (t) = 〈− sin t, cos t〉. In part (c), we found<br />

N(t) = 〈− sin t, cos t〉 = T ′ (t). Thus,<br />

κ = |κN(t)| =<br />

T ′ √ √<br />

(t)<br />

∣|r ′ (t)| ∣ = |T′ (t)| (− sin t)<br />

|r ′ (t)| = 2 + (cos t)<br />

√ 2 1<br />

(t cos t) 2 + (t sin t) = √ = 1 2 t 2 t .<br />

5. (<strong>25</strong> <strong>points</strong>) The graph y = f(x) in the xy-plane automatically has the parametrization x =<br />

x, y = f(x), and the vector formula r(x) = 〈x, f(x)〉. Using this formula, if f is a twicedifferentiable<br />

function of x, we can show<br />

κ(x) =<br />

|f ′′ (x)|<br />

[1 + (f ′ (x)) 2 ] 3/2 .<br />

(a) Use the formula for the curvature κ(x) above to find the curvature for the parabola<br />

y = x 2 .<br />

Solution: To find the curvature of the parabola y = x 2 , so that f(x) = x 2 is our<br />

function, we should find f ′ (x) = 2x and f ′′ (x) = 2. Then we have<br />

κ(x) =<br />

|f ′′ (x)|<br />

[1 + (f ′ (x)) 2 ] 3/2 = |2|<br />

[1 + (2x) 2 ] 3/2 = 2<br />

[1 + 4x 2 ] 3/2 .<br />

(b) We find the total curvature of the portion of a smooth curve that runs from s = s 0 to<br />

s = s 1 (s 1 > s 0 ) by integrating κ from s 0 to s 1 . If the curve has some other parameter,<br />

say t, then the total curvature is<br />

K =<br />

∫ s1<br />

s 0<br />

κ ds =<br />

∫ t1<br />

t 0<br />

κ ds<br />

dt dt = ∫ t1<br />

t 0<br />

κ|v(t)| dt,<br />

where t 0 and t 1 correspond to s 0 and s 1 .<br />

Find the total curvature of the parabola y = x 2 , −∞ < x < ∞.<br />

Solution: The parametrization of the parabola is, as described in the introduction to<br />

this problem, given by<br />

r(x) = 〈x, f(x)〉 = 〈x, x 2 〉.


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

Using this together with the formula for the total curvature K and our answer for κ(x)<br />

in part (a) above, we find<br />

K =<br />

=<br />

=<br />

=<br />

∫ ∞<br />

−∞<br />

∫ ∞<br />

−∞<br />

∫ ∞<br />

−∞<br />

∫ ∞<br />

−∞<br />

∫ 0<br />

κ(x)|v(x)| dx<br />

[<br />

]<br />

2<br />

[1 + 4x 2 ] 3/2 |〈1, 2x〉| dx<br />

[<br />

]<br />

2 √(1)<br />

[1 + 4x 2 ] 3/2 2 + (2x) 2 dx<br />

2<br />

1 + 4x 2 dx<br />

∫<br />

2<br />

∞<br />

=<br />

−∞ 1 + 4x 2 dx + 0<br />

[∫ 0<br />

= lim<br />

a→−∞<br />

= lim<br />

a→−∞<br />

= lim<br />

a→−∞<br />

= lim<br />

a→−∞<br />

a<br />

[∫ 0<br />

a<br />

[∫ 0<br />

x=a<br />

[∫ 0<br />

x=a<br />

[∫ 0<br />

= lim<br />

a→−∞<br />

x=a<br />

2<br />

1 + 4x 2 dx<br />

] [∫<br />

2<br />

b<br />

1 + 4x 2 dx + lim<br />

b→∞ 0<br />

] [∫<br />

2 dx<br />

b<br />

1 + (2x) 2 + lim<br />

b→∞ 0<br />

] [∫<br />

du<br />

b<br />

1 + u 2 + lim<br />

b→∞ x=0<br />

sec 2 ]<br />

θ dθ<br />

1 + (tan θ) 2 + lim<br />

]<br />

dθ<br />

[∫ b<br />

+ lim<br />

b→∞ x=0<br />

b→∞<br />

[∫ b<br />

]<br />

dθ<br />

]<br />

2<br />

1 + 4x 2 dx<br />

]<br />

2 dx<br />

1 + (2x) 2<br />

]<br />

du<br />

1 + u 2<br />

x=0<br />

sec 2 ]<br />

θ dθ<br />

1 + (tan θ) 2<br />

= lim<br />

a→−∞ [θ]0 x=a + lim<br />

b→∞ [θ]b x=0<br />

[<br />

= lim tan −1 (u) ] 0<br />

a→−∞<br />

x=a + lim<br />

[<br />

tan −1 (u) ] b<br />

b→∞<br />

x=0<br />

[<br />

= lim tan −1 (2x) ] 0<br />

a→−∞<br />

a + lim<br />

[<br />

tan −1 (2x) ] 0<br />

b→∞<br />

a<br />

[<br />

= lim tan −1 (0) − tan −1 (2a) ] [<br />

+ lim tan −1 (2b) − tan −1 (0) ]<br />

a→−∞<br />

b→∞<br />

[ (<br />

= 0 − − π )] [( π<br />

) ]<br />

+ − 0 = π.<br />

2 2<br />

6. (<strong>25</strong> <strong>points</strong>) <strong>Suppose</strong> f(x, y, z) is differentiable in a region whose interior contains a smooth<br />

curve<br />

C : r(t) = 〈g(t), h(t), k(t)〉.<br />

Consider the function f(r(t)) = f (g(t), h(t), k(t)) of the variable t.<br />

(a) Use the Chain Rule to find df<br />

dt .<br />

Solution: By the Chain Rule, we have<br />

(b) Show that df<br />

dt = ∇f · r′ (t).<br />

df<br />

dt = ∂f dx<br />

∂x dt + ∂f dy<br />

∂y dt + ∂f dz<br />

∂z dt = [f x]g ′ (t) + [f y ]h ′ (t) + [f z ]k ′ (t).


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

Solution: The gradient of f, ∇f is<br />

∇f = 〈f x , f y , f z 〉<br />

while<br />

Hence,<br />

r ′ (t) = 〈g ′ (t), h ′ (t), k ′ (t)〉.<br />

∇f · r ′ (t) = 〈f x , f y , f z 〉 · 〈g ′ (t), h ′ (t), k ′ (t)〉 = [f x ]g ′ (t) + [f y ]h ′ (t) + [f z ]k ′ (t) = df<br />

dt .<br />

(c) <strong>Suppose</strong> P 0 is a point on C where f has a local maximum or a local minimum relative<br />

to its values on C. Use part (b) to explain why ∇f is orthogonal to C at P 0 .<br />

Solution: As a function of t, if f(r(t)) has either a local max or min at P 0 , then we<br />

must have df<br />

df<br />

= 0. However, by part (b),<br />

dt dt = ∇f · r′ (t), so ∇f · r ′ (t) = 0 at P 0 . But<br />

two vectors are orthogonal if and only if their dot product is zero, so we conclude that<br />

∇f is orthogonal to r ′ (t) at P 0 . Yet, r ′ (t) is a tangent vector to the curve C at the point<br />

P 0 , so ∇f is orthogonal to the curve C at P 0 as claimed.<br />

7. (<strong>25</strong> <strong>points</strong>) Find the average value of f(x, y) = x 2 + y 2 over each of the following regions:<br />

(a) the square 0 ≤ x ≤ 1, 0 ≤ y ≤ <strong>1.</strong><br />

Solution: The average value of f over a region D is defined to be f ave =<br />

Thus, as the area of the square A : 0 ≤ x ≤ 1, 0 ≤ y ≤ 1 is 1, we have<br />

f ave = 1 ∫∫<br />

∫ 1 ∫ 1<br />

(x 2 + y 2 ) dA = (x 2 + y 2 ) dy dx =<br />

[1] A<br />

x=0 y=0<br />

∫ 1<br />

[<br />

= x 2 + 1 ] [ 1<br />

dx =<br />

x=0 3 3 x3 + 1 ] 1<br />

3 x = 1<br />

x=0<br />

3 + 1 3 = 2 3 .<br />

∫ 1<br />

x=0<br />

1 ∫∫<br />

area(D)<br />

D<br />

f(x, y) dA.<br />

[<br />

x 2 y + 1 3 y3 ] 1<br />

y=0<br />

(b) the square 0 ≤ x ≤ a, 0 ≤ y ≤ a, where a > 0.<br />

Solution: On the square B : 0 ≤ x ≤ a, 0 ≤ y ≤ a, whose area is area(B) = a 2 , we have<br />

f ave = 1 ∫∫<br />

[a 2 (x 2 + y 2 ) dA = 1 ∫ a ∫ a<br />

] B<br />

a 2 (x 2 + y 2 ) dy dx = 1 ∫ a<br />

[<br />

x=0 y=0<br />

a 2 x 2 y + 1 ] a<br />

x=0 3 y3 y=0<br />

= 1 a 2 ∫ a<br />

x=0<br />

[ax 2 + a3<br />

3<br />

]<br />

dx = 1 [ ] a a<br />

a 2 3 x3 + a3<br />

3 x = 1 [ a<br />

4<br />

0<br />

a 2 3 + a4<br />

3<br />

]<br />

= 2 3 a2 .<br />

dx<br />

dx<br />

(c) the disc x 2 + y 2 ≤ a 2 , where a > 0.<br />

Solution: On the disc D : x 2 + y 2 ≤ a 2 , whose area is area(D) = πa 2 , we have<br />

f ave = 1 ∫∫<br />

[πa 2 ]<br />

= 1<br />

πa 2 ∫ 2π<br />

θ=0<br />

(x 2 + y 2 ) dA = 1 ∫ 2π<br />

D<br />

πa 2 θ=0<br />

[ ] 1<br />

4 a4 dθ = 1 [ ] a<br />

4 2π<br />

πa 2 4 θ<br />

θ=0<br />

∫ a<br />

r=0<br />

(r 2 ) r dr dθ = 1<br />

πa 2 ∫ 2π<br />

= 1<br />

πa 2 [ a<br />

4<br />

4 (2π) ]<br />

= a2<br />

2 .<br />

θ=0<br />

[ 1<br />

4 r4 ] a<br />

r=0<br />


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

8. (<strong>25</strong> <strong>points</strong>) To celebrate the beginning of spring break, you treat yourself to an ice cream cone.<br />

Upon examination, you recognize that the ice cream cone fills the region in space bounded<br />

by the top half of the sphere<br />

x 2 + y 2 + (z − 1) 2 = 1<br />

above and by the cone<br />

z = √ x 2 + y 2<br />

below. Find the volume of your ice cream cone.<br />

[Hint: First integrate with respect to z, and then convert to polar coordinates.]<br />

Solution: The top half of the sphere x 2 + y 2 + (z − 1) 2 = 1 is obtained by solving for z<br />

by taking the positive square root (the negative square root yields the bottom half of the<br />

sphere), so the top of the ice cream cone is<br />

(z − 1) 2 = 1 − x 2 − y 2 =⇒ z − 1 = √ 1 − x 2 − y 2 =⇒ z = 1 + √ 1 − x 2 − y 2 .<br />

Now the top half of this sphere and the cone intersect when we have √ x 2 + y 2 = z =<br />

1 + √ 1 − x 2 − y 2 , i.e.,<br />

√<br />

x 2 + y 2 − √ 1 − x 2 − y 2 = 1 =⇒ (x 2 + y 2 ) − 2 √ x 2 + y 2√ 1 − x 2 − y 2 + (1 − x 2 − y 2 ) = 1<br />

=⇒ −2 √ x 2 + y 2√ 1 − x 2 − y 2 = 0<br />

=⇒ x 2 + y 2 = 0 or x 2 + y 2 = <strong>1.</strong><br />

The first option, x 2 + y 2 = 0, is where the bottom half of the sphere and the cone intersect at<br />

the vertex of the cone, so we discard this option (as we are only concerned with the top half<br />

of the cone, so that z ≥ 1), which means that the region in the xy-plane that is the shadow<br />

of the ice cream cone is the disc D : x 2 + y 2 ≤ 1, which is given by 0 ≤ r ≤ 1, 0 ≤ θ ≤ 2π in<br />

polar coordinates. Therefore, the volume of the ice cream cone is<br />

∫∫∫<br />

V =<br />

∫∫<br />

=<br />

=<br />

=<br />

=<br />

D<br />

∫ 2π ∫ 1<br />

θ=0<br />

∫ 2π<br />

θ=0<br />

∫ 2π<br />

∫∫<br />

dV =<br />

D<br />

[(1 + √ 1 − x 2 − y 2 )<br />

−<br />

r=0<br />

[<br />

1<br />

∫<br />

√<br />

1+ 1−x 2 −y 2 ∫∫<br />

√ dz dA =<br />

z= x 2 +y 2 D<br />

(√ )]<br />

x 2 + y 2 dA<br />

[1 + √ 1 − r 2 − √ r 2 ]<br />

r dr dθ =<br />

] 1<br />

2 r2 − 1 (1 − r 2 ) 3/2<br />

− 1 2 3/2 3 r3 dθ =<br />

r=0<br />

[ ] [ ] 1 1 2π<br />

dθ =<br />

θ=0 2 2 θ = π.<br />

0<br />

∫ 2π ∫ 1<br />

[z] 1+√ 1−x 2 −y 2<br />

z= √ x 2 +y 2 dA<br />

θ=0 r=0<br />

∫ 2π<br />

[<br />

r + r √ 1 − r 2 − r 2] dr dθ<br />

θ=0<br />

[( 1<br />

2 − 0 − 1 3<br />

So, along with your ice cream, you get to enjoy a little π. Happy “Pi Day.”<br />

9. (<strong>25</strong> <strong>points</strong>) Let F(x, y) = 〈3x 2 y 2 , 2x 3 y〉.<br />

)<br />

−<br />

(0 − 1 )]<br />

3 − 0<br />

(a) Show that F is a conservative vector field.<br />

Solution: First of all, we observe that F is defined on all of R 2 , which is open and simply<br />

connected. So, to prove that F is conservative, it is enough to prove that P y = Q x , where<br />

P = 3x 2 y 2 =⇒ P y = 6x 2 y<br />

Q = 2x 3 y =⇒ Q x = 6x 2 y<br />


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

As we can see above, the vector field F = 〈P, Q〉 satisfies P y = Q x , so F is conservative.<br />

(b) Find a potential function for F.<br />

Solution: By the Fundamental Theorem for Line Integrals, we know that a potential<br />

function for F exists, i.e., there is a scalar function f(x, y) with F = ∇f. In particular,<br />

this means that f x = P , so<br />

∫ ∫ [3x<br />

f(x, y) = P dx = 2 y 2] dx = x 3 y 2 + C(y)<br />

for some function C(y), which is constant with respect to x. From this form of f, we can<br />

determine C(y) by comparing f y = 2x 3 y + C ′ (y) with Q = 2x 3 y. The equality f y = Q<br />

then implies that C ′ (y) = 0, so that C(y) = K for some constant K (i.e., K is a number<br />

and is not a function of either x or y). Thus<br />

is the generic potential function of F.<br />

f(x, y) = x 3 y 2 + K<br />

(c) Let C be the curve parametrized by r(t) = 〈3t 2 + 1, 2t〉, 0 ≤ t ≤ <strong>1.</strong> Find ∫ C F · dr.<br />

Solution: By the Fundamental Theorem for Line Integrals,<br />

∫<br />

F · dr = f(r(1)) − f(r(0)) = f(4, 2) − f(1, 0) = [(4) 3 (2) 2 ] − [(1) 3 (0) 2 ] = <strong>25</strong>6.<br />

C<br />

10. (<strong>25</strong> <strong>points</strong>) Evaluate the line integral ∮ C y2 dx+x 2 dy, where C is the circle x 2 +y 2 = 4 using:<br />

(a) the parametrization r(t) = 〈2 cos(t), 2 sin(t)〉, 0 ≤ t ≤ 2π, of C.<br />

Solution: The vector field F corresponding to the differential form y 2 dx + x 2 dy is<br />

F(x, y) = 〈y 2 , x 2 〉, so ∮ C y2 dx + x 2 dy = ∮ C<br />

F · dr. Computing the latter line integral<br />

using the parametrization r(t), we obtain<br />

∮<br />

C<br />

F · dr =<br />

=<br />

∫ 2π<br />

0<br />

∫ 2π<br />

0<br />

〈4 sin 2 t, 4 cos 2 t〉 · 〈−2 sin t, 2 cos t〉 dt =<br />

∫ 2π<br />

8(1 − cos 2 t)[− sin t] + 8(1 − sin 2 t)[cos t] dt<br />

[ (<br />

= 8 cos t − 1 ) (<br />

3 cos3 t + 8 sin t − 1 )] 2π<br />

3 sin3 t<br />

0<br />

[(<br />

= 8 1 − 1 ) ] [(<br />

+ (0 − 0) − 8 1 − 1 ) ]<br />

+ (0 − 0)<br />

3<br />

3<br />

0<br />

−8 sin 3 t + 8 cos 3 t dt<br />

= 0.<br />

(b) Green’s Theorem.<br />

Solution: As in part (a), we have ∮ C y2 dx + x 2 dy = ∮ C F · dr, where F(x, y) = 〈y2 , x 2 〉.<br />

By Green’s Theorem, which applies to this problem since F is defined on all of R 2 (which<br />

is an open, simply connected domain) and the circle C is both simple and closed, we


<strong>Math</strong> <strong>214</strong>, <strong>Calculus</strong> <strong>III</strong><br />

<strong>Final</strong> <strong>Exam</strong> <strong>Solutions</strong><br />

have<br />

∮ ∫∫<br />

F · dr =<br />

C<br />

=<br />

=<br />

( ∂Q<br />

∂x − ∂P ) ∫∫<br />

dA =<br />

∂y<br />

R<br />

∫ 2π ∫ 2<br />

θ=0<br />

∫ 2π<br />

= 16<br />

3<br />

r=0<br />

θ=0<br />

∫ 2π<br />

R<br />

(2x − 2y) dA<br />

(2r cos θ − 2r sin θ) r dr dθ =<br />

[ ] 2 2<br />

(cos θ − sin θ)<br />

3 r3 dθ =<br />

r=0<br />

θ=0<br />

(cos θ − sin θ) dθ = 16 3<br />

∫ 2π<br />

θ=0<br />

∫ 2π ∫ 2<br />

θ=0<br />

r=0<br />

2r 2 (cos θ − sin θ) dr dθ<br />

[ ] 16<br />

(cos θ − sin θ) dθ<br />

3<br />

[sin θ + cos θ]2π<br />

θ=0 = 16 [(0 + 1) − (0 + 1)] = 0.<br />

3

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