Local Maxima - Calculus Three - Exam, Exams of Advanced Calculus

This is the Exam of Calculus Three which includes Parallelogram, Area, Lines Parameterized, Parabolic Path Described, Equation, Parameterization, Tangent Vector, Unit Normal Vector etc. Key important points are: Local Maxima, Minima, Appropriate Technique, Small Mountain Area, Purchased, Property, Stream Emerges, Approximately, Stream Descended, Evening

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2012/2013

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APPM 2350 EXAM 2 FALL 2007
INSTRUCTIONS: Computers, calculators, books, and crib sheets are not permitted. Write your (1)
name, (2) instructor’s name, and (3) recitation number on the front of your bluebook. Work all problems.
Show your work clearly. Note that a correct answer with incorrect or no supporting work may receive no
credit, while an incorrect answer with relevant work may receive partial credit.
1. (20 points) Using an appropriate technique from Calculus III, determine the extreme values of the
function f(x, y) = x2+y2
4, assuming that xy = 1. For each point you find, be sure to state whether
the function has a local maxima or minima at that location, and the value of f(x, y).
2. (20 points) The surface elevation, z, of a small mountain area that you have just purchased is given
by the function z=y2x4+ 4x2+ 54 for 3x3 and 3y3.
(a) Where on this property would you build a hut? (Hint: perhaps a level spot that is not a summit.
Clearly explain your reasoning, and show your calculations, to support your answer.)
(b) A stream emerges from a spot on the surface located at P0(0,1,53) and flows downhill following
the line of steepest descent. At the point P0, in which direction does the stream flow? (Give
your answer as a vector with i,j, and kcomponents.)
(c) By approximately how much has the water in the stream descended after it has travelled a short
distance s= 0.2 from the source P0?
3. (20 points) A hummingbird is flying along the path r(t) during the evening when the temperature
distribution is given by the function T(x, y, z). At some time t(and only at this particular time),
you know that the hummingbird’s position, velocity and acceleration are r(t) = 2 i+ 4 j+ 3 k,
v(t)=2i+ 2 j+5 k, and a(t)=4i+3 j+ 4 krespectively. Furthermore, you know that T|(2,4,3) =
2i+ 1 j+ 2 k, and T(2,4,3) = 42.
(a) As the hummingbird flies past the location r(t) at what rate is the temperature Tchanging
with respect to distance?
(b) As it flies past location r(t), at what rate is the temperature Tchanging with respect to time?
(c) If the hummingbird continues on its original path r(t) for a short interval of time t= 0.1, by
approximately how much does the temperature change?
(d) However, suppose at time tsomething suddenly scares the hummingbird and it starts to fly
in a direction that happens to be the direction of the greatest rate of decrease of T. Assuming
the hummingbird maintains its same speed, by approximately how much does the temperature
change if it flies for t= 0.1?
4. (20 points) Consider the function f(x, y) = x+y+ cos(x+y).
(a) Calculate the second order Taylor approximation to f(x, y) near the origin.
(b) Now, calculate the first order approximation to f(x, y)near the point Plocated at π
4,π
4,
(c) Estimate the error associated with your linearization in part (b) assuming that you only use it
for values of xand ysuch that
xπ
4
0.2 and
yπ
4
0.2.
OVER
pf2

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Download Local Maxima - Calculus Three - Exam and more Exams Advanced Calculus in PDF only on Docsity!

APPM 2350 EXAM 2 FALL 2007

INSTRUCTIONS: Computers, calculators, books, and crib sheets are not permitted. Write your (1)

name, (2) instructor’s name, and (3) recitation number on the front of your bluebook. Work all problems.

Show your work clearly. Note that a correct answer with incorrect or no supporting work may receive no

credit, while an incorrect answer with relevant work may receive partial credit.

1. (20 points) Using an appropriate technique from Calculus III, determine the extreme values of the

function f (x, y) = x^2 +

y^2

, assuming that xy = 1. For each point you find, be sure to state whether

the function has a local maxima or minima at that location, and the value of f (x, y).

2. (20 points) The surface elevation, z, of a small mountain area that you have just purchased is given

by the function z = −y^2 − x^4 + 4x^2 + 54 for − 3 ≤ x ≤ 3 and − 3 ≤ y ≤ 3.

(a) Where on this property would you build a hut? (Hint: perhaps a level spot that is not a summit.

Clearly explain your reasoning, and show your calculations, to support your answer.)

(b) A stream emerges from a spot on the surface located at P 0 (0, 1 , 53) and flows downhill following

the line of steepest descent. At the point P 0 , in which direction does the stream flow? (Give

your answer as a vector with i, j, and k components.)

(c) By approximately how much has the water in the stream descended after it has travelled a short

distance s = 0.2 from the source P 0?

3. (20 points) A hummingbird is flying along the path r(t) during the evening when the temperature

distribution is given by the function T (x, y, z). At some time t∗^ (and only at this particular time),

you know that the hummingbird’s position, velocity and acceleration are r(t∗) = 2 i + 4 j + 3 k,

v(t∗) = 2 i + 2 j + 5 k, and a(t∗) = 4 i + 3 j + 4 k respectively. Furthermore, you know that ∇T |(2, 4 ,3) =

2 i + 1 j + 2 k, and T (2, 4 , 3) = 42.

(a) As the hummingbird flies past the location r(t∗) at what rate is the temperature T changing

with respect to distance?

(b) As it flies past location r(t∗), at what rate is the temperature T changing with respect to time?

(c) If the hummingbird continues on its original path r(t) for a short interval of time ∆t = 0.1, by

approximately how much does the temperature change?

(d) However, suppose at time t∗^ something suddenly scares the hummingbird and it starts to fly

in a direction that happens to be the direction of the greatest rate of decrease of T. Assuming

the hummingbird maintains its same speed, by approximately how much does the temperature

change if it flies for ∆t = 0.1?

4. (20 points) Consider the function f (x, y) = x + y + cos(x + y).

(a) Calculate the second order Taylor approximation to f (x, y) near the origin.

(b) Now, calculate the first order approximation to f (x, y) near the point P located at

(c) Estimate the error associated with your linearization in part (b) assuming that you only use it

for values of x and y such that

∣x^ −^

∣ ≤^0 .2 and

∣y^ −^

∣ ≤^0 .2.

OVER

5. (20 points)

It is suspected that a local bluebook manufacturing plant is emitting trioxin. Some local university

students decide to measure the trioxin levels, but they don’t have an instrument to directly measure

the trioxin concentration. Having done well in their chemistry classes, they know that trioxin levels,

C, can be determined from C =

xz

y^2

, where x, y, and z are the concentrations of CKW, chloride,

and blue dye #42, respectively. The students can easily take measurements of these chemicals using

some old equipment they found in their chemistry lab.

The students sneak out one night and take measurements. Unfortunately, all of their measurements

are exactly 20% high. News of their measurements and trioxin concentration calculations were

reported, and then heavily criticized, in the local newspapers because their measurements of x, y,

and z were not correct.

(a) By what percentage is their trioxin concentration value off?

(b) Is their trioxin concentration calculation high or low?

(c) Based on your calculations in parts (a) and (b) explain why, or why not, the criticisms in the

newspaper would be justified.

Projections and distances

projAB =

( A · B

A · A

A d = |− P S→ × v| |v| d =

− P S→ · n |n|

Arc length, frenet formulas, and tangential and normal acceleration components

ds = |v| dt T = dr ds

v |v|

N =

dT/ds |dT/ds|

dT/dt |dT/dt|

B = T × N

dT ds = κN dB ds = −τ N κ =

dT ds

|v × a| |v|^3

|f ′′(x)| | 1 + (f ′(x))^2 |^3 /^2

| x˙y¨ − y˙x¨| | x˙^2 + ˙y^2 |^3 /^2 τ = − dB ds

· N

a = aN N + aT T aT = d|v| dt aN = κ|v|^2 =

|a|^2 − a^2 T

Directional derivative, discriminant, and Lagrange multipliers

df ds = (∇f ) · u fxxfyy − (fxy )^2 ∇f = λ∇g, g = 0

Taylor’s formula (at the point (x 0 , y 0 ))

f (x, y) = f (x 0 , y 0 ) +

[

(x − x 0 )fx(x 0 , y 0 ) + (y − y 0 )fy (x 0 , y 0 )

]

[

(x − x 0 )^2 fxx(x 0 , y 0 ) + 2(x − x 0 )(y − y 0 )fxy (x 0 , y 0 ) + (y − y 0 )^2 fyy (x 0 , y 0 )

]

[

(x − x 0 )^3 fxxx(x 0 , y 0 ) + 3(x − x 0 )^2 (y − y 0 )fxxy (x 0 , y 0 )

  • 3(x − x 0 )(y − y 0 )^2 fxyy (x 0 , y 0 ) + (y − y 0 )^3 fyyy (x 0 , y 0 )

]

Linear approximation error

|E(x, y)| ≤

M (|x − x 0 | + |y − y 0 |)^2 , where max{|fxx|, |fxy |, |fyy |} ≤ M