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Department of Mathematics, University of California at Berkeley ... This booklet contains the worksheets for Math 53, U.C. Berkeley's multivariable calculus.
Typology: Exercises
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7 th^ Edition
Department of Mathematics, University of California at Berkeley
i Math 53 Worksheets, 7 th^ Edition
This booklet contains the worksheets for Math 53, U.C. Berkeley’s multivariable calculus course. The introduction of each worksheet very briefly summarizes the main ideas but is not intended as a substitute for the textbook or lectures. The questions emphasize qualitative issues and the problems are more computationally intensive. The additional problems are more challenging and sometimes deal with technical details or tangential concepts. Typically more problems were provided on each worksheet than can be completed during a discussion period. This was not a scheme to frustrate the student; rather, we aimed to provide a variety of problems that can reflect different topics which professors and GSIs may choose to emphasize. The first edition of this booklet was written by Greg Marks and used for the Spring 1997 semester of Math 53W. The second edition was prepared by Ben Davis and Tom Insel and used for the Fall 1997 semester, drawing on suggestions and experiences from the first semester. The authors of the second edition thank Concetta Gomez and Professors Ole Hald and Alan Weinstein for their many comments, criticisms, and suggestions. The third edition was prepared during the Fall of 1997 by Tom Insel and Zeph Grunschlag. We would like to thank Scott Annin, Don Barkauskas, and Arturo Magidin for their helpful suggestions. The Fall 2000 edition has been revised by Michael Wu. Tom Insel coordinated this edition in consultation with William Stein. Michael Hutchings made tiny changes in 2012 for the seventh edition. In 1997, the engineering applications were written by Reese Jones, Bob Pratt, and Pro- fessors George Johnson and Alan Weinstein, with input from Tom Insel and Dave Jones. In 1998, applications authors were Michael Au, Aaron Hershman, Tom Insel, George Johnson, Cathy Kessel, Jason Lee, William Stein, and Alan Weinstein.
iii Math 53 Worksheets, 7 th^ Edition
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As we know, some curves in the plane are graphs of functions, but not all curves can be so expressed. Parametric equations allow us to describe a wider class of curves. A parametrized curve is given by two equations, x = f (t), y = g(t). The curve consists of all the points (x, y) that can be obtained by plugging values of t from a particular domain into both of the equations x = f (t), y = g(t). We may think of the parametric equations as describing the motion of a particle; f (t) and g(t) tell us the x- and y-coordinates of the particle at time t. We can also parametrize curves in R^3 with three parametric equations: x = f (t), y = g(t), and z = h(t). For example, the orbit of a planet around the sun could be given in this way.
(a) Is C the graph of some function? If so, which function? If not, why not? (b) Find a parametrization for C. (Hint: cos^2 θ + sin^2 θ = 1.)
(a) What curves do the two sets of equations describe? (b) Compare and contrast the motions for the two sets of parametric equations by interpreting each set as describing the motion of a particle. (c) Suppose that a curve is parametrized by x = f (t), y = g(t). Explain why x = f (2t), y = g(2t) parametrize the same curve. (d) Show that there are an infinite number of different parametrizations for the same curve.
(a) Plot some points and sketch the curve when a = 1 and b = 1, when a = 2 and b = 1, and when a = 1 and b = 2. (b) Eliminate the parameter θ to obtain a single equation in x, y, and the constants a and b. What curve does this equation describe? (Hint: Eliminate θ using the identity cos^2 θ + sin^2 θ = 1.)
As we saw in the previous section, we can use parametric equations to describe curves that aren’t graphs of the form y = f (x). In Math 1A we learned how to calculate the slope of a graph at a point and how to evaluate the area underneath a graph. In Math 1B, we encountered the problems of calculating the arc length of a graph and the area of a surface of revolution defined by a graph. Here, we revisit these problems in the more general framework of parametrized curves. Here are some of the new formulas:
dy dx
dy/dt dx/dt
∫ (^) β
α
dx dt
dy dt
dt (2)
α
2 πy
dx dt
dy dt
dt (3)
(f (t 0 ), g(t 0 ))
(f (t), g(t))
Figure 1: A secant line
(a) Write a formula for m(t) in terms of f (t) and g(t). (b) Use l’Hospital’s rule to evaluate limt→t 0 m(t) and explain how this limit gives the slope of the tangent line.
arc length =
∫ (^) b
a
1 + [f ′(x)]^2 dt
in the special case when the curve is the graph of a function y = f (x), a ≤ x ≤ b.
(a) What kind of curve is this? (b) Find the slope of the tangent line to the curve when t = 0, t = π/4, and t = π/2. (c) Find the area of the region enclosed by C. (Hint: sin^2 t = (1 − cos 2t)/2.)
(a) What are the center and radius of this circle. (b) Describe the surface obtained by rotating the circle about the x-axis? About the y-axis. (c) Calculate the area of the surface obtained by rotating the circle around the x-axis. Why should you restrict the parametrization to 0 ≤ t ≤ π when integrating? (d) Calculate the area of the surface obtained by rotating the circle about the y-axis.
(a) Find the area of this surface by plugging x and y into Formula 3 and integrating by substitution. (b) Find the area of this surface by reparametrizing the curve before you plug into Formula 3.
r
θ ℓ
(a)
x = r cos θ y = r sin θ x
y
r
θ ℓ
(b)
x = r cos θ y = r sin θ x
y
r
θ
ℓ
(c)
x = r cos θ y = r sin θ x
y
2 centered at (x, y) = (1, 1).
(a) Sketch this curve. (b) Find the slope of this curve at θ = π/4. (c) At which points does dr dθ = 0? Remember that this is not the slope. What is the geometric meaning of dr dθ = 0?
(b) Does the spiral r = e−θ, 0 ≤ θ < ∞ have finite length?
(b) Now, do the same in R^3. (Hint: Let the center of the circle be the origin.)
(a) Find a vector u pointing in the same direction as the line. (b) Let c be any point on the line. Explain why c + tu gives parametric equations for the line. Write down these equations (c) Can you get more than one parametrization of the line from these methods?
(a) Find any point in the plane and call it a. Let x = (x, y, z) and show that (x − a) · (1, 1 , −1) = 0 is the equation of the plane. (b) Explain why i + j − k is a normal vector to the plane. (c) Show that if ax + by + cz = d is the equation of a plane where a, b, c, and d are constants, then ai + bj + ck is a normal vector.
(a) Let u and v be vectors connecting a to b and a to c. Compute u and v. (b) Find a vector perpendicular to the plane. (c) Use the normal vector to find the equation of the plane. (Hint: First write the equation in the form given in Problem 2(a).)
(a) How does the apparent direction of the falling rain change? (b) Explain this observation in terms of vectors. (c) Suppose you know your walking speed. How could you determine the speed at which the rain is falling?
(^1) From Basic Multivariable Calculus by Marsden, Tromba, and Weinstein.
The quadric surfaces in R^3 are analogous to the conic sections in R^2. Aside from cylinders, which are formed by “dragging” a conic section along a line in R^3 , there are only six quadric surfaces: the ellipsoid, the hyperboloid of one sheet, the hyperboloid of two sheets, the elliptic cone, the elliptic paraboloid, and the hyperbolic paraboloid. We study quadric surfaces now because they will provide a nice class of examples for calculus.
¬ Every surface of this type can be formed by rotating some curve about an axis. Some surfaces of this type can be so formed and some cannot. ® No surface of this type can be so formed.
(a) x^2 + 2y^2 + 3z^2 + x + 2y + 3z = 0 (b) x^2 + 2y^2 − 3 z^2 + x + 2y + 3z = 0 (c) x^2 − 2 y^2 − 3 z^2 + x + 2y + 3z = 0
(a) Is r(t) perpendicular to r′(t) for every t? Is r′(t) perpendicular to r′′(t) for every t? (b) If r were another function, would the two answers to (a) remain the same? If true, show why. If false, give a counter example.
(a) Find the velocity vector as a function of time. (b) What is the meaning of the constants a, b, and c? (c) Find the acceleration vector as a function of time. (d) Which way is “up?” (e) Find the equation of the plane containing the trajectory. (f) If b = 0, show that the trajectory is a parabola in the xz-plane. (g) Describe the trajectory in the general case.
The effect of a bicyclist’s foot on the pedal is measured by the torque produced at the center of the gear which is attached to the pedal crank. The physical notion of torque is so closely tied to the mathematical notion of cross product that Feynman introduces them both in the same chapter of his famous lectures on physics (Lecture 20, Volume I in the reference below). In this worksheet, we will use the cross product to analyze pedaling techniques, and we will see how this physical example helps us to understand the mathematics of the cross product.
Three vectors are relevant to our problem:
The torque at G produced by the force F applied at P is the cross product
τ = r × F. (4)
Since the gear can revolve only around its fixed axis, the effective part of the torque is its component in the direction of a, i.e. the scalar product
τeff = τ · a. (5)
Feynman, Richard P., Leighton, Robert B., and Sands, Matthew. The Feynman Lectures on Physics. Addison-Wesley. 1964.
One way to understand the behavior of functions is visually. Here we investigate picto- rial ways to represent functions of the form f : Rn^ → Rm. A familiar way to represent a function is by its graph. Formally, the graph of f : Rn^ → Rm^ is the set of points {(x 1 ,... , xn, y 1 ,... , ym) ∈ Rn+m^ | (y 1 ,... , ym) = f (x 1 ,... , xn)}. For most of us, the graph is impossible to visualize if n + m > 3. For functions of the form f : Rn^ → R, we have another visualization tool at our disposal. A level set of f is the set {(x 1 ,... , xn) ∈ Rn^ | f (x 1 ,... , xn) = C} for some constant C. For example, if f (x, y) = x^2 + y^2 , then the level set f (x, y) = 4 is a circle of radius 2 as seen in Figure 5(a). Notice that a level set can be more complicated than a graph. In particular, it does not have to satisfy the vertical line test. A level set of f is actually the “projection” of a certain cross-section of the graph of f to the xy-plane. We see an example of this in Figure 5(b). The graph of a function can be obtained as the level set of another function by the following trick. The graph of f (x, y) is the level set g(x, y, z) = 0 where g(x, y, z) = f (x, y) − z. To see that this works, simply note that g(x, y, z) = 0 implies that f (x, y) − z = 0, so z = f (x, y).
(a) The level set f (x, y) = 4 when f (x, y) = x^2 + y^2
(b) The graph of f (x, y) = x^2 + y^2 and the level set x^2 + y^2 = 4
Figure 5:
(a) the intersection of the level sets f (x, y) = c and g(x, y) = d. (b) the intersection of the level sets f (x, y) = c and f (x, y) = d. (c) the intersection of graph z = f (x, y) and the graph z = g(x, y).