Math 2210 Autumn 2006: Integrals & Expectations, Exams of Advanced Calculus

The solutions to problem 1 to problem 8 of mathematics 2210 autumn 2006 practice midterm 3. The problems involve calculating integrals and expectations using various methods, including change of variables formula, probability density functions, and green's theorem.

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Mathematics 2210
Autumn 2006
Instructor: Mike Wills
Practice Midterm 3 Solutions
Problem #1 (5 points):
Let Rbe the region in the plane given by
(1) {(x, y)R2|x=rcos θ, y =rsin θ, π
4θ3π
4,2r3.}
Let f(x, y) = x
y. Compute RRRf dA.
Solution
Using the change of variables formula for polar coordinates, we com-
pute as follows:
ZZR
fdA =Z3
2Z3π
4
π
4
rcos θ
rsin θrdθdr
=Z3
2
rdr Z3π
4
π
4
cos θ
sin θ
=r2
2
3
2ln(sin θ)
3π
4
π
4
=9
22ln 1
2ln 1
2
ZZR
fdA = 0
(2)
1
pf3
pf4
pf5

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Mathematics 2210 Autumn 2006 Instructor: Mike Wills

Practice Midterm 3 Solutions

Problem #1 (5 points): Let R be the region in the plane given by

(1) {(x, y) ∈ R^2 | x = r cos θ, y = r sin θ,

π 4

≤ θ ≤

3 π 4

, 2 ≤ r ≤ 3 .}

Let f (x, y) = xy. Compute

R f dA. Solution Using the change of variables formula for polar coordinates, we com- pute as follows: ∫ ∫

R

f dA =

2

∫ 34 π

π 4

r cos θ r sin θ

rdθdr

2

rdr

∫ 34 π

π 4

cos θ sin θ

r^2 2

3 2

ln(sin θ)

34 π π 4

=

ln

− ln

R

f dA = 0

1

Let R = [0, 1] × [0, 1]. Define the probability density function f : R^2 → R via

(3) f (x) =

4 xy (x, y) ∈ R 0 (x, y) ∈/ R

for the random variables, X and Y. Find the expected values of X and Y.

Solution The expected value of X is given by (4)

E(X) =

R^2

xf (x)dx =

0

0

4 x^2 ydydx =

0

4 x^2

y^2 2

1 0

dx = 2

0

x^2 dx =

A virtually identical calculation shows that the expected value of Y is given by E(Y ) = 23.

Problem #3 (5 points):

Let E = {(x, y, z) ∈ R^3 | 0 ≤ z ≤ 1 , 0 ≤ y ≤ z, 0 ≤ x ≤ 3 y}. Compute

(5)

E

6 xzdV.

Solution We compute:

∫ ∫ ∫

E

6 xzdV = 6

0

∫ (^) z

0

∫ (^3) y

0

xzdxdydz

0

∫ (^) z

0

x^2 z

3 y 0

dydz

0

∫ (^) z

0

y^2 zdydz

0

y^3 z

z 0

dz

0

z^4 dz

9 z^5 5

1 0

Let f be defined on a smooth curve C in Rn. Define the following expression:

(10)

C

f ds.

During your explanation, it will be made clear what the term ‘smooth curve’ means. Your definition will involve a limit.

Solution Recall that C is smooth if there exists a C^1 function, r : [a, b] → Rn, such that the image of r is C, and ˙r is never zero. Let n ∈ N. Let ∆t = b−a n. For^ i^ = 0,^1 ,... , n^ define^ ti^ =^ a^ +^ i∆t. For^ i^ = 1,... , n, let^ t

∗ i ∈

[ti− 1 , ti] and let ∆si = |r(ti) − r(ti− 1 )|. Define Sn =

∑^ n

i=

f (r(t∗ i ))∆si.

Then,

C f ds^ is defined to be lim n→∞ Sn^ whenever this limit exists.

Problem #6 (5 points): Let D ⊂ Rn^ be an open set containing the smooth curve C. Let f : D → R be differentiable. Show that

(11)

C

∇f · dr = f (r(b)) − f (r(a)),

where r is a suitably chosen function on [a, b] which you will carefully define.

Solution Let r : [a, b] → Rn^ be a C^1 function whose derivative is never 0, and whose image is C. (Since C is smooth, such an r will exist, by definition.) Let us denote r = (x 1 , x 2 ,... , xn). By definition,

(12)

C

∇f · dr =

C

∑n

i=

∂f ∂xi

x ˙i =

∫ (^) b

a

Df Drdt,

where D denotes the derivative operator. By the chain rule, Df Dr = D(f ◦ r). Since f ◦ r is a real valued function of t, a real variable, we can denote D(f ◦ r) by (f ◦ r)′. The Fundamental Theorem of (single variable) Calculus now applies. We have:

(13)

∫ (^) b

a

Df Drdt =

∫ (^) b

a

(f ◦ r)′dt = (f ◦ r)

b a

= f (r(b)) − f (r(a)),

as desired.

Let C be the positively-oriented square in R^2 with vertices (0, 0), (1, 0), (1, 2), and (0, 2). Evaluate

(14)

C

eydx + 2xeydy.

Solution By Green’s Theorem, ∫

C

eydx + 2xeydy =

0

0

(2ey^ − ey)dydx

0

0

eydydx

= e^2 − 1.

Problem #8 (5 points):

Let D be an open set in R^3. Let F, G : D → R^3 be differentiable. Show that

(16) ∇ × (F + G) = (∇ × F) + (∇ × G).

Solution We start with the right hand side and show that we get the left hand side. Let us denote F = (P, Q, R) and G = (S, T, U ). Then,

(∇ × F) + (∇ × G) = (Ry − Qz , Pz − Rx, Qx − Py) + (Uy − Tz , Sz − Ux, Tx − Sy)

= ((R + U )y − (Q + T )z , (P + S)z − (R + U )x, (Q + T )x − (P + R)y) = ∇ × (P + S, Q + T, R + U ) = ∇ × (F + G),

as desired.