Midterm Exam for a Multivariable Calculus Course - Prof. Lorenzo A. Sadun, Exams of Calculus

A second midterm exam for a multivariable calculus course, including questions on parametrized curves, partial derivatives, directional derivatives, tangent planes, max-min problems, and lagrange multipliers. The exam covers topics such as velocity, acceleration, distance traveled, differentials, and critical points.

Typology: Exams

2010/2011

Uploaded on 06/01/2011

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M408M Second Midterm Exam, November 9, 2006
1. Parametrized curves. A particle follows the curve r(t) =<3+2 cos(2t),4+
2 sin(2t),3t+ 7 >, where trepresents time. Find
a) The speed of the particle at t=π.
b) The unit tangent vector Tat time t=π.
c) The acceleration at time t=π, and
d) The distance traveled (arclength, not straight-line distance) from t=π
to t= 2π.
Please put a BOX around each of your answers.
The velocity is v(t) = r(t) = h−4 sin(2t),4 cos(2t),3i, so the speed is
v(t) = |v(t)|= 5 and the tangent vector is T=v/v =h−4 sin(2t)/5,4 cos(2t)/5,3/5i.
Evaluated at time t=π, this gives a velocity of h−4,0,3ia tangent vec-
tor of <0,4/5,3/5>and a speed of 5. The acceleration is dv/dt =
h−8 cos(2t),8 sin(2t),0i=h−8,0,0i. The distance traveled is R2π
πv(t)dt =
5π.
2. Partial derivatives and differentials. Consider the function f(x, y, z) =
ex(1 + ln(y))z2+xy2.
a) Compute fx,fy, and fzas functions of (x, y, z ), and evaluate them at the
point (0,1,3).
fx=ex(1 + ln(y))z2+y2= 10, fy=exz2/y + 2xy = 9, and fz=
2ex(1 + ln(y))z= 6.
b) Use the results of part (a) to estimate the value of f(0.01,0.98,3.02).
f(0,1,3) = 9. df =fxdx+fydy +fzdz = (0.01)(10)(0.02)(9) +(0.02)6 =
0.04, so f(0.01,0.98,3.02) 9.04.
3. Suppose that f(x, y , z) is a function of three variables, and that f(1,4,3) =
13, fx(1,4,3) = 2, fy(1,4,3) = 5, and fz(1,4,3) = 2.
a) Find the directional derivative of fat the point (1,4,3) in the direction
of the point (3,6,4). [Note that (3,6,4) is a point, not a vector.]
The displacement vector from (1,4,3) to (3,6,4) is <2,2,1>, whose
length is 4 + 4 + 1 = 3. The direction of this vector is u=<2/3,2/3,1/3>.
The directional derivative is f·u= (2/3)2 + (2/3)5 (1/3)2 = 4.
b) Find the equation of the tangent plane to the surface f(x, y , z) = 13 at
the point (1,4,3).
The normal vector is the gradient, <2,5,2>, so our plane is
2x+ 5y2z= 2(1) + 5(4) 2(3) = 16.
1
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M408M Second Midterm Exam, November 9, 2006

  1. Parametrized curves. A particle follows the curve r(t) =< 3+2 cos(2t), 4+ 2 sin(2t), 3 t + 7 >, where t represents time. Find a) The speed of the particle at t = π. b) The unit tangent vector T at time t = π. c) The acceleration at time t = π, and d) The distance traveled (arclength, not straight-line distance) from t = π to t = 2π. Please put a BOX around each of your answers. The velocity is v(t) = r′(t) = 〈−4 sin(2t), 4 cos(2t), 3 〉, so the speed is v(t) = |v(t)| = 5 and the tangent vector is T = v/v = 〈−4 sin(2t)/ 5 , 4 cos(2t)/ 5 , 3 / 5 〉. Evaluated at time t = π, this gives a velocity of 〈− 4 , 0 , 3 〉 a tangent vec- tor of < 0 , 4 / 5 , 3 / 5 > and a speed of 5. The acceleration is dv/dt = 〈−8 cos(2t), −8 sin(2t), 0 〉 = 〈− 8 , 0 , 0 〉. The distance traveled is ∫^ π^2 πv(t)dt = 5 π.
  2. Partial derivatives and differentials. Consider the function f (x, y, z) = ex(1 + ln(y))z^2 + xy^2. a) Compute fx, fy, and fz as functions of (x, y, z), and evaluate them at the point (0, 1 , 3). fx = ex(1 + ln(y))z^2 + y^2 = 10, fy = exz^2 /y + 2xy = 9, and fz = 2 ex(1 + ln(y))z = 6. b) Use the results of part (a) to estimate the value of f (0. 01 , 0. 98 , 3 .02). f(0,1,3) = 9. df = fxdx+fydy +fzdz = (0.01)(10)−(0.02)(9)+(0.02)6 = 0 .04, so f (0. 01 , 0. 98 , 3 .02) ≈ 9 .04.
  3. Suppose that f (x, y, z) is a function of three variables, and that f (1, 4 , 3) = 13, fx(1, 4 , 3) = 2, fy(1, 4 , 3) = 5, and fz(1, 4 , 3) = −2. a) Find the directional derivative of f at the point (1, 4 , 3) in the direction of the point (3,6,4). [Note that (3,6,4) is a point, not a vector.] The displacement vector from (1, 4 , 3) to (3, 6 , 4) is < 2 , 2 , 1 >, whose length is

4 + 4 + 1 = 3. The direction of this vector is u =< 2 / 3 , 2 / 3 , 1 / 3 >. The directional derivative is ∇f · u = (2/3)2 + (2/3)5 − (1/3)2 = 4. b) Find the equation of the tangent plane to the surface f (x, y, z) = 13 at the point (1, 4 , 3). The normal vector is the gradient, < 2 , 5 , − 2 >, so our plane is 2 x + 5y − 2 z = 2(1) + 5(4) − 2(3) = 16.

  1. Max-min. a) Find all critical points of the function f (x, y) = x^2 y^2 − 4 x^2 − y^2 + 17. fx = 2xy^2 − 8 x. Setting this equal to zero gives x = 0 or y^2 = 4. Likewise, fy = 2x^2 y − 2 y. Setting this equal to zero gives y = 0 or x^2 = 1. Since we can’t have both x = 0 and x^2 = 1, and we can’t have y = 0 and y^2 = 4, there are only 2 possibilities: (0, 0) and (± 1 , ±2). That’s 5 points: (0,0), (1,2), (1,-2), (-1,2) and (-1,-2). b) Which of these critical points are local maxima? Minima? Saddle points? We compute fxx = 2y^2 − 8, fyy = 2x^2 − 2 and fxy = 4xy. At (0,0), we have fxx = −8, fyy = −2 and fxy = 0, so D is positive and we have a local max. At all the other points, we have fxx = 0, fyy = 0 and fxy nonzero, so D is negative and these are saddle points.
  2. Lagrange multipliers. Find the maximum (or maxima, if there’s a tie) of the function f (x, y) = x^3 + y^3 on the circle x^2 + y^2 = 2. Also, find the minimum (or minima). [Note: you do not have to classify the critical points as local maxima or minima. You just have to find the overall maximum and minimum values, and the points where these values occur.] f (x, y) = x^3 + y^3 , while g(x, y) = x^2 + y^2 − 2. ∇f =< 3 x^2 , 3 y^2 > while ∇g =< 2 x, 2 y >. Our three equations are then 3x^2 = 2λx (so x = 0 or λ = 3x/2), 3y^2 = 2λy (so y = 0 or λ = 3y/2) and x^2 + y^2 = 2. There are four possibilities:
    1. x = y = 0. This contradicts x^2 + y^2 = 2, so is impossible.
    2. x = 0 and λ = 3y/2. This gives the points (0, ±

2), at which f = ± 2

  1. y = 0 and λ = 3x/2, which gives the points (±

2 , 0) and f = ± 2

and

  1. λ = 3x/2 = 3y/2, in which case x = y. This gives the points (1, 1) and (− 1 , −1) at which f = 2 and −2, respectively. Since 2

2 > 2, the maximum value of 2

2 is achieved at (0,

  1. and (

2 , 0), while the minimum value of − 2

2 is achieved at (0, −

  1. and (−