• 沒有找到結果。

(12 points) Find the interval of convergence of the series X∞ k=1 1 kxk

N/A
N/A
Protected

Academic year: 2022

Share "(12 points) Find the interval of convergence of the series X∞ k=1 1 kxk"

Copied!
4
0
0

加載中.... (立即查看全文)

全文

(1)

Calculus Final Exam June 25, 2012

There are 9 questions with total 120 points in this exam.

1. (12 points) Find the interval of convergence of the series X

k=1

1 kxk.

Solution: Since 1 > lim

k→∞

¯¯

¯¯

¯¯

¯ 1 k + 1xk+1

1 kxk

¯¯

¯¯

¯¯

¯

= lim

k→∞

k

k + 1|x| = |x|, the radius of convergence is 1.

At x = 1, the series X

k=1

1

k diverges since it is a p−series with p ≤ 1.

At x = −1, the series X k=1

1

k(−1)k = − X k=1

1

(2k − 1)(2k) converges by comparing with the convergent series P

k=1

1 k2.

Therefore, the interval of convergence is [−1, 1).

2. Let f (x, y) =



2xy

x2+ y2, if (x, y) 6= (0, 0) 0 , if (x, y) = (0, 0).

(a) (10 points) Does the limit lim

(x,y)→(0,0) f (x, y) exist? Justify your answer.

Solution: Since lim

(x,x)→(0,0) f (x, x) = lim

(x,x)→(0,0)2 = 2 6= 0 = lim

(x,0)→(0,0)0 = lim

(x,0)→(0,0) f (x, 0), the limit does not exist.

(b) (10 points) Find ∂f

∂x(0, 0) if it exists.

Solution: Since lim

h→0

f (0 + h, 0) − f (0, 0)

h = lim

h→0

0

h = 0, we get ∂f

∂x(0, 0) = 0.

3. (10 points) Find the directional derivative of the function f (x, y) = x2 + 3y2 at the point (1, 1) in the direction of the vector (1, −1).

Solution: Since ∇f (x, y) = (2x, 6y), ∇f (1, 1) = (2, 6), and the directional derivative of f at the point (1, 1) in the direction of the vector (1, −1) is

f(1,−1)0 (1, 1) = ∇f (1, 1) · (1, −1)

2 = (2, 6) ·(1, −1)

2 = −2√ 2.

(2)

Calculus Final Exam (Continued) June 25, 2012

4. (12 points) Find the stationary points and the local extreme values of the function f (x, y) = 2x2 + y2− xy − 7y.

Solution: Solving ∇f (x, y) = (4x − y, 2y − x − 7) = (0, 0), we get the stationary point is (1, 4).

The second partials are

2f

∂x2 = 4, 2f

∂y∂x = −1 = 2f

∂x∂y, 2f

∂y2 = 2.

Thus, A = 4, B = −1, C = 2, and D = AC − B2 = 7 > 0. Since A > 0, it follows from the second-partials test that f (1, 4) = 2 + 16 − 4 − 28 = −14 is a local minimum.

5. (14 points) Use the method of Lagrange to find the maximum value of the function f (x, y) = xy on the circle x2 + y2 = 1.

Solution: By setting g(x, y) = x2 + y2− 1, we want to maximize f (x, y) = xy subject to the side condition g(x, y) = 0.

The gradients are

∇f (x, y) = (y, x), ∇g(x, y) = (2x, 2y).

Setting ∇f (x, y) = λ∇g(x, y), we have

y = 2λx, x = 2λy.

Multiplying the first equation by y and the second equation by x, we find that y2 = 2λxy, x2 = 2λxy

and therefore

y2 = x2.

The side condition x2+ y2 = 1 implies that 2x2 = 1 and therefore x = ±

2

2 . The only points that can give rise to an extreme value are

(

2 2 ,

2

2 ), (−√ 2 2 ,

2

2 ), (−

2 2 , −

2 2 ), (

2 2 , −

2 2 ), and f achieves the maximum value 1

2 at the first and third points.

6. (12 points) Determine whether or not the vector function (P (x, y), Q(x, y)) = (xy2, x2y) is a gradient. If so, find all the functions f with its gradient ∇f = (P, Q).

Solution: Since Py = 2xy = Qx, the vector function

(P (x, y), Q(x, y)) = (xy2, x2y) is a gradient of some function f, and f =

Z

y=constant

xy2dx = x2y2

2 + g(y), where g is a function of y to be determined.

Since x2y = Q = fy = x2y + g0(y), we get g0(y) = 0, and f = x2y2

2 + C, where C is an arbitrary constant.

Page 2

(3)

Calculus Final Exam (Continued) June 25, 2012

7. (a) (6 points) Let Ω be the triangular region bounded by y = x, y = 0, x = 1.

Sketch Ω and fill in the blanks of the following double integral Z ¤

¤

Z ¤

¤

ex2dy dx.

Solution: R1

0

Rx

0 ex2dy dx.

(b) (6 points) Evaluate the double integral Z 1

0

Z 1

y

ex2dx dy.

Solution: By part (a), we have Z 1

0

Z 1

y

ex2dx dy = Z 1

0

Z x

0

ex2dy dx = Z 1

0

xex2dx = ex2

2 |10 = e − 1 2 .

8. (a) (6 points) Find the Jacobian of the transformation x = r cos θ, and y = r sin θ.

Recall that the Jacobian is the determinant of the square matrix J(r, θ) =

¯¯

¯¯

¯¯

¯

∂x

∂r

∂y

∂x ∂r

∂θ

∂y

∂θ

¯¯

¯¯

¯¯

¯ .

Solution: The Jacobian is J(r, θ) =

¯¯

¯¯

¯¯

¯¯

¯

∂x

∂r

∂y

∂r

∂x

∂θ

∂y

∂θ

¯¯

¯¯

¯¯

¯¯

¯

=

¯¯

¯¯

¯¯

cos θ sin θ

−r sin θ r cos θ

¯¯

¯¯

¯¯= r

(b) (8 points) Evaluate Z

0

e−x2dx.

Solution: Set I = Z

0

e−x2dx.

Then I2 =¡Z

0

e−x2dx¢ ¡Z

0

e−y2dy¢

= Z

0

Z

0

e−x2−y2dx dy

= Z π/2

0

Z

0

e−r2r dr dθ = −¡e−r2 2 |0 ¢ ¡

θ|π/20 ¢

= π 4. Thus,

Z

0

e−x2dx =

√π 2 .

Page 3

(4)

Calculus Final Exam (Continued) June 25, 2012 9. (a) (6 points) Find the Jacobian of the transformation x = u + v

2 , and y = u − v 2 .

Solution: The Jacobian is J(u, v) =

¯¯

¯¯

¯¯

¯¯

¯

∂x

∂u

∂y

∂u

∂x

∂v

∂y

∂v

¯¯

¯¯

¯¯

¯¯

¯

=

¯¯

¯¯

¯¯

¯¯

¯ 1 2

1 2 1 2 1

2

¯¯

¯¯

¯¯

¯¯

¯

= −1 2

(b) (8 points) Evaluate Z Z

¡x + y¢ ¡ x − y¢

dxdy, where Ω is the parallelogram bounded by x + y = 0, x + y = 1, x − y = 0, x − y = 2.

Solution: Setting u = x + y, and v = x − y, we get x = u + v

2 , and y = u − v 2 . Then the Jacobian is J = −1

2 and Z Z

¡x+y¢ ¡ x−y¢

dxdy = Z 2

0

Z 1

0

u v |J|du dv = 1 2

Z 2

0

Z 1

0

u v du dv = 1 8

¡u2|10v2|20¢

= 1 2.

Page 4

參考文獻

相關文件

No credit will be given for an answer without

Determine how much money the company should spend on newspaper advertising and on television advertising per month to maximize its monthly

Another boat has been heading due west at 15 km/h and reaches the same dock at 6 ∶ 00 PM.. At what time were the two boats

(Correct formula but with wrong answer form: 1-point deduction for each error.) (Did not use unit vectors: 1-point deduction for each

(12%) Among all planes that are tangent to the surface x 2 yz = 1, are there the ones that are nearest or farthest from the origin?. Find such tangent planes if

Find all the local maximum, local minimum and saddle points

[r]

Then you get zero point if the answer is not