Solving Equations and Calculating Fluxes with Vector Calculus, Exams of Linear Algebra

Solutions to various vector calculus problems, including finding the inverse of a matrix, computing the area of a surface, and calculating the outward flux of a vector field. The problems involve finding the eigenvalues and eigenvectors of a matrix, applying green's theorem, and solving differential equations.

Typology: Exams

2012/2013

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Math 240 Final Exam
Spring 2012
1. Solve the equations for x.
2x+ 3y+ 2z= 1
x+ 0y+ 3z= 2
2x+ 2y+ 3z= 3
Hint:
If A=
232
103
223
then A1=
65 9
3 2 4
2 2 3
.
a) x=1 b) x= 0 c) x= 2 d) x= 5 e) x= 7 f) x= 11 g) none of the above
Answer: (f). To find the solution vector, we need only apply the inverse:
x
y
z
=
65 9
3 2 4
2 2 3
1
2
3
=
11
5
3
.
This answer can easily be verified by substituting back into the original system.
2. The lemniscate of Gerono is parametrized by the formulas
x(t) = cos t,
y(t) = sin tcos t.
Compute the area of the right-hand lobe (corresponding to the range of parameters π
2tπ
2). Hint: Use Green’s
Theorem and the differential y dx. Near the end you’ll likely need to use a u-substitution.
a) 1
6b) 1
3c) 1
2d) 2
3e) 5
6f) 1 g) none of the ab ove
Answer: (d). For this specific differential, we have P=yand Q= 0, so QxPy= 1. Thus by Green’s Theorem we
have ZZA
1d
A=Z∂A
ydx,
that is, the area of Ais equal to the line integral of ydx along the boundary of A. Writing the line integral using the
given parametrization, we have
Z∂A
ydx =Zπ
2
π
2
sin tcos t(sin t)dt =Zπ
2
π
2
sin2tcos tdt.
Substituting u= sin tgives
Zπ
2
π
2
sin2tcos tdt =Z1
1
u2du =2
3.
pf3
pf4
pf5
pf8

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Math 240 Final Exam

Spring 2012

  1. Solve the equations for x. 2 x + 3 y + 2 z = 1 x + 0 y + 3 z = 2 2 x + 2 y + 3 z = 3 Hint:

If A =

 (^) then A−^1 =

a) x = − 1 b) x = 0 c) x = 2 d) x = 5 e) x = 7 f) x = 11 g) none of the above

Answer: (f ). To find the solution vector, we need only apply the inverse:  

x y z

This answer can easily be verified by substituting back into the original system.

  1. The lemniscate of Gerono is parametrized by the formulas

x(t) = cos t, y(t) = sin t cos t.

Compute the area of the right-hand lobe (corresponding to the range of parameters − π 2 ≤ t ≤ π 2 ). Hint: Use Green’s Theorem and the differential −y dx. Near the end you’ll likely need to use a u-substitution.

a)

b)

c)

d)

e)

f) 1 g) none of the above

Answer: (d). For this specific differential, we have P = −y and Q = 0, so Qx − Py = 1. Thus by Green’s Theorem we have (^) ∫ ∫

A

d A

∂A

−ydx,

that is, the area of A is equal to the line integral of −ydx along the boundary of A. Writing the line integral using the given parametrization, we have ∫

∂A

−ydx =

∫ π 2

− π 2

− sin t cos t(− sin t)dt =

∫ π 2

− π 2

sin^2 t cos tdt.

Substituting u = sin t gives (^) ∫ π 2 − π 2

sin^2 t cos tdt =

− 1

u^2 du =

  1. Calculate the outward flux of F~ across S if F~ (x, y, z) = 3xy^2 ~i + xez~j + z^3 ~k and S is the surface of the solid bounded by the cylinder y^2 + z^2 = 1 and the planes x = −1 and x = 2.

a) 0 b) −

π 4

c)

11 π 8

d) 3π e)

9 π 5

f)

9 π 2

g) none of the above

Answer: (f ). We use the divergence theorem. First we compute the divergence of F~ :

∇ · F~ =

∂x

(3xy^2 ) +

∂y

(xez^ ) +

∂z

(z^3 ) = 3(y^2 + z^2 ).

If C is the interior of the cylinder that is described in the problem and ∂C is the surface bounding it, then ∫ ∫

∂C

F^ ~ · ~ndS =

C

3(y^2 + z^2 )dV.

We can evaluate the integral in cylindrical coordinates (r, θ, x), where (r, θ) represent the polar coordinates in the yz-plane. ∫ ∫

∂C

F^ ~ · ~ndS =

C

3(y^2 + z^2 )dV =

− 1

∫ (^2) π

0

0

3 r^2 rdrdθdx =

9 π 2

  1. Compute the outward flux of ∇ × F~ through the surface of the ellipsoid 2x^2 + 2y^2 + z^2 = 8 lying above the plane z = 0, where F~ = (3x − y)~i + (x + 3y)~j + (1 + x^2 + y^2 + z^2 )~k.

a) 0 b) 2π c) 3π d) 8π e) 12π f) 16π g) none of the above

Answer: (d). We use Stokes’ theorem. If S is the top half of the ellipsoid, then its boundary will be a curve C obtained by setting z = 0. On the circle, 2x^2 + 2y^2 = 8, meaning that C is the circle of radius 2 centered at the origin and lying in the xy-plane. Since the outward flux points upwards in the z-direction, the correct orientation of C is counterclockwise. We conclude (^) ∫ ∫

S

(∇ × F~ ) · ~ndS =

C

(3x − y)dx + (x + 3y)dy + (1 + x^2 + y^2 + z^2 )dz.

We can parametrize C by ~r(t) = 〈2 cos t, 2 sin t, 0 〉 for t ∈ [0, 2 π]. We will get ∮

C

(3x − y)dx+(x + 3y)dy + (1 + x^2 + y^2 + z^2 )dz

∫ (^2) π

0

[

(6 cos t − 2 sin t)(−2 sin t) + (2 cos t + 6 sin t)(2 cos(t)) + (1 + 4 cos^2 t + 4 sin^2 t)(0)

]

dt.

∫ (^2) π

0

[

sin^2 t + cos^2 t

]

dt = 8π.

  1. Solve the differential equation 9 x^2 y′′^ + 2y = 0 on the interval (0, ∞) subject to the initial conditions y(1) = 1 and y′(1) = 43. a) y = 2x (^23) − 3 x (^13) b) y = 3x (^23) − 2 x (^13) c) y = 3x (^32) − 3 x^3 d) y = 3x (^32) − 2 x^3 e) y = 2x^2 − 3 x f) y = 3x^2 − 2 x g) none of the above

Answer: (b). This is a Cauchy-Euler equation. The auxiliary equation is 9m(m − 1) + 2 = 0, which factors as (3m − 2)(3m − 1) = 0. Thus the general solution will have the form y = c 1 x

(^23)

  • c 2 x

(^13)

. Solving the system of equations

c 1 + c 2 = 2 3

c 2 +

c 2 =

gives c 1 = 3 and c 2 = −2.

  1. Let ~ω := 〈 1 , 2 , 3 〉, and let ~r(t) = 〈x(t), y(t), z(t)〉. Now consider the differential equation

d dt

~r = ~ω × ~r.

Select the answer which correctly expresses this system of equations in matrix notation when

X^ ~(t) =

x(t) y(t) z(t)

Do not solve the system.

a)

d dt

X~ =

 (^) X~ b) d dt

X~ =

 (^) X~ c) d dt

X~ =

 X~

d) d dt

X~ =

 (^) X~ e) d dt

X~ =

 (^) X~ f) d dt

X~ =

 X~

g) none of the above

Answer: (c). First we simply expand the formula for the cross product:

〈 1 , 2 , 3 〉 × 〈x, y, z〉 =

~i ~j ~k 1 2 3 x y z

y z

~i −

x z

~j +

x y

~k

= (2x − 3 y)~i + (3x − z)~j + (y − 2 x)~k.

We write this vector as a column vector and discover that  

2 x − 3 y 3 x − z y − 2 x

x y z

d dt

X~ =

 X.~

  1. Select the answer below which corresponds to the first few terms in a power series solution of the differential equation

x^2 y′′^ + (x^2 − x)y′^ + y = 0.

Will there be a second, linearly independent series solution for this equation? Explain your answer.

a) y = x

(^12)

x

(^32)

x

(^52)

x

(^72)

  • · · · b) y = −x

(^12)

x

(^32) −

x

(^52)

x

(^72) +· · · c) y = x

(^12)

  • x

(^32)

x

(^52) −

x

(^72)

  • · · ·

d) y = x − x^2 +

x^3 −

x^4 + · · · e) y = x − x^2 +

x^3 −

x^4 + · · · f) y = x + x^2 +

x^3 +

x^4 + · · ·

g) none of the above

Answer: (e). The point x = 0 is a regular singular point of this ODE. We use the method of Frobenius to find a solution

y =

∑^ ∞

n=

cnxn+r^ xy′^ =

∑^ ∞

n=

(n + r)cnxn+r^ x^2 y′′^ =

∑^ ∞

n=

(n + r)(n + r − 1)cnxn+r

We substitute in and get

x^2 y′′^ + (x^2 − x)y′^ + y =

∑^ ∞

n=

(n + r)(n + r − 1)cnxn+r^ +

∑^ ∞

n=

(n + r)cnxn+r+1^ −

∑^ ∞

n=

(n + r)cnxn+r^ +

∑^ ∞

n=

cnxn+r^ = 0

∑^ ∞

n=

(n + r)(n + r − 1)cnxn+r^ +

∑^ ∞

n=

(n − 1 + r)cn− 1 xn+r^ −

∑^ ∞

n=

(n + r)cnxn+r^ +

∑^ ∞

n=

cnxn+r

= [r(r − 1)c 0 − rc 0 + c 0 ] +

∑^ ∞

n=

[(n + r)(n + r − 1)cn + (n − 1 + r)cn− 1 − (n + r)cn + cn] xn+r

We simplify and conclude that

(r − 1)^2 c 0 = 0 and (n + r − 1)^2 cn + (n + r − 1)cn− 1 = 0 when n ≥ 1.

The indicial roots are both r = 1, so the method of Frobenius says that only one such series solution will exist (the other will involve a logarithm). We have

c 1 = −

c 0 = −c 0 c 2 = −

c 1 = c 0 2

c 3 = −

c 2 = − c 0 6

In fact, we can see that there is a pattern: cn = (−1)

n n!. Our full series will be

y =

∑^ ∞

n=

(−1)n n!

xn+1.

We can even identify this as a Taylor series: y = xe−x.

  1. Let y be a function satisfying y(0) = y′(0) = y′′(0) = 0 which is a solution of the ODE

y′′′^ − 4 y′′^ + 4y′^ = 4.

Compute y(1). a) y(1) = − 5 b) y(1) = 4 c) y(1) = − 3 d) y(1) = 2 e) y(1) = − 1 f) y(1) = 0 g) none of the above Answer: (d). The complementary solution will have the form yc = c 1 e^2 x^ + c 2 xe^2 x^ + c 3. The method of undetermined coefficients says that we should find a particular solution in the form yp = Ax (we multiply by x because the com- plementary solution includes constants). That method gives a solution when A = 1. Thus the solution is of the form

  1. Find a solution to the initial value problem y′′^ − 2 xy′^ − 4 y = 0 subject to the initial conditions y(0) = 0 and y′(0) = 1 which takes the form of a power series centered at the origin. What is the coefficient in front of x^5 in the series? a) − 1 b) 0 c)

d) 1 e) 2 f) 6 g) none of the above

Answer: (c). The point x = 0 is ordinary, so we make a standard power series solution:

y =

∑^ ∞

n=

cnxn^ y′^ =

∑^ ∞

n=

ncnxn−^1 y′′^ =

∑^ ∞

n=

n(n − 1)cnxn−^2.

We substitute these into the equation and get

∑^ ∞

n=

n(n − 1)cnxn−^2 − 2 x

∑^ ∞

n=

ncnxn−^1 − 4

∑^ ∞

n=

cnxn^ = 0.

Next we can combine the last two sums: ∑^ ∞

n=

n(n − 1)cnxn−^2 +

∑^ ∞

n=

(− 2 n − 4)cnxn^ = 0.

After that we shift the index of summation in the first sum: ∑^ ∞

n=− 2

(n + 2)(n + 1)cn+2xn^ +

∑^ ∞

n=

(− 2 n − 4)cnxn^ = 0.

Because (n + 2)(n + 1) = 0 both when n = −2 and n = −1, we can drop these two terms from the first sum and combine again: ∑∞

n=

[(n + 2)(n + 1)cn+2 − 2(n + 2)cn] xn.

Our recurrence formula is found by setting these coefficients equal to zero:

(n + 2)(n + 1)cn+2 − 2(n + 2)cn = 0 ⇒ cn+2 = 2 cn n + 1

The initial conditions give c 0 = 0 and c 1 = 1. Computing the rest by means of the formula gives

c 2 =

2 c 0 1

= 0 c 3 =

2 c 1 2

= 1 c 4 = 0 c 5 =

2 c 3 4

  1. Circle “T” for true or “F” for false in the space provided to the left of the following statements. You DO NOT need to justify your answer for full credit.

( T F ) Every 2 × 2 diagonalizable matrix with repeated eigenvalue is a diagonal matrix.

True: A = P DP −^1 and D is a multiple of the identity, so A must also be.

( T F ) There is a vector field F~ such that ∇ × F~ = 〈x, y, z〉.

False: The divergence of the curl is always equal to zero, but the divergence of 〈x, y, z〉 equals 3.

( T F ) If det(A) = 0, then the system A X~ = 0 has infinitely many solutions.

True: det(A) = 0 means that A has an eigenvector E~ which has eigenvalue zero. Any multiple of E~ will solve the system A X~ = 0.

( T F ) If y 1 and y 2 are solutions to a non-homogeneous linear differential equation, then y 1 + y 2 is also a solution.

False: Try the differential equation y′^ = 1 and take y 1 = y 2 = x.

( T F ) If A and B are square matrixes such that AB^2 = I, then B is invertible.

True: det(AB^2 ) = (det A)(det B)(det B) = det I = 1. In particular, det A and det B must both be nonzero, meaning they’re both invertible.