Math 242 C
Lecture Summaries and HW Assignements
Lecture 27, 12/4/06:
Theoretical complements: Limit definitions of derivatives
This will be the final regular lecture hour, and it will be a rather
light and (hopefully) brief one. (Wednesday's lecture hour
will be an informal office hour/chat session, with no new material
covered, and will likely end early.)
I will use this lecture to return to some of the more theoretical
concepts and definitions that have come up in earlier chapters, but
which I had skipped over initially. I will focus on the definitions
via limits of the various derivative-like concepts that have come up
throughout this course.
- Review: Definition of ordinary derivative of a single
variable function (3.1, (2), p. 102)
- Limit definition of derivative of a vector-valued function
(11.5, formula (5), p. 807)
- Limit definition of partial derivatives of a function of several
variables (12.4, formulas (3), (4), p. 870)
- Limit definition of directional derivative of a function of several
variables (12.8, (3), p. 910)
What you need to know for the Final:
All I expect you to know from this material are the definitions listed
above. You won't be asked to give proofs or perform any calculations
involving these definitions.
Lecture 26, 11/29/06: Section 13.8:
Surface Area
[Because of the exam on Wednesday, this material is being covered in
Thursday's (11/30) discussion section.]
- Formula for area of a surface in rectangular coordinates, z =
f(x,y) (formula (9), p. 1000)
Examples: 2, 3 (using (9))
Homework: 2, 3, 9, 11
Skip: In addition to formula (9), p. 1000, the text
contains several other formulas for the surface area, but you need not
memorize those. In almost all situations arising in practice one can
get by with (9).
Lecture 25, 11/27/06: Section 13.9:
Change of variables in multiple integrals
- Jacobian of a transformation
- Change of variables formula for double and triple integrals
((7) and (11))
Examples: 1, 2, 5
Homework: 1, 3, 14
Note: Some of the examples and problems in this section (e.g.,
Ex. 2 and 4) involve transformations that are tricky (especially, when
it comes to converting regions of integrations) and which appear
contrived and pulled out of the air. You only need to be able to
handle the simpler cases such as those in problem 14,
where the transformation to be used is easy to spot or where it is
given in the problem.
Lectures 23/24: 11/13/06 and 11/15/06: Sections 13.6/13.7
Section 13.6:
Triple integrals
- Triple integrals in rectangular coordinates
- Volume by triple integrals
- Mass, mass density, and center of mass, of 3 dimensional solids
- Moments of inertia (3D case)
Examples: 1, 2
Homework: 5, 9
Section 13.7:
Triple integrals in cylindrical and spherical coordinates
- Review (from 11.8):
Definition and geometric interpretation of cylindrical and spherical
coordinates, conversion formulas
- Volume element dV in cylindrical and spherical coordinates
Examples: 1, 2, 3, 4
Homework: 1, 7, 8, 9, 19, 21, 25, 33, 37, 39
Lecture 22, 11/8/06: Section 13.5:
Applications of double integrals
- Mass, mass density, mass element dm
- Centroid (center of mass)
- Moments of inertia: Ix, Iy,
I_0 (polar moment of inertia)
Skip: First and second theorem of Pappus
(p. 973 - 975),
formulas for kinetic energy and radius of gyration ((9), (10), (11)).
Examples: 1, 2, 3, 9, 10
Homework: 7, 15, 27, 31, 33
Lecture 21, 11/6/06: Section 13.4:
Double integrals in polar coordinates
- Area element dA in polar coordinates
- Computing double integrals in polar coordinates
- Converting double integrals from rectangular coordinates
to polar coordinates
- Evaluation of the "Gaussian integral", the integral of
exp(-x2) from -infinity to infinity (cf. Example 5)
Examples: 1, 2, 3, 4, 5
Homework: 3, 9, 13, 17, 27, 29, 34
Lecture 20, 11/1/06: Section 13.3:
Area and volume by double integrals
- Computation of volume via double integrals
- Computation of area via double integrals
Examples: 1 - 4
Homework:
3, 7, 11, 15, 19, 27, 29, 35
Lecture 19, 10/30/06: Sections 13.1/13.2:
Double integrals
- Definition of double integral via Riemann sums
- Computation of double integrals over rectangular regions (13.1)
- Computation of double integrals over general regions R
- Reversing order of integration
Skip: There won't be any quiz/exam problems on Riemann sums
(p. 942/943), or the relation between double integrals and
cross sections (p. 946 middle through end of 13.1). However,
you should take a look at the pictures illustrating these concepts, as
they help motivate the concept of a double integral and its
application to the computation of volumes (which will come up in a
later section).
Examples:
Section 13.1: 2, 3, 4;
Section 13.2: 2, 3, 4
Homework:
Section 13.2:
1, 11, 13, 15, 19, 31, 33
Lecture 18, 10/26/06: Section 11.8: Cylindrical and spherical
coordinates
[Because of Wednesday's exam, this material will be covered in
Thursday's (10/26) discussion section]
- Definition, geometric interpretation
- Conversion formulas between cylindrical, spherical, and
rectangular coordinates
- Conversion of equations in rectangular coordinates to cylindrical
and spherical coordinates
- Surfaces and regions in cylindrical and spherical coordinates:
cylinders, spheres, cones, planes, half-planes
Note on trig values: Converting between coordinate systems
often requires computing sines and cosines. Calculators are not
allowed in quizzes and exams, but the problems will be such that you
do not need a calculator to compute the values of sines and cosines.
You should know the values of trig functions at 0, Pi/6, Pi/4, Pi/3, Pi/2,
etc.
Skip:
The last part of 11.8 (p. 844 through end), on longitudes and
latitudes, presents an interesting real-world application of spherical
coordinates, and is worth reading, but there won't be exam/quiz
problems on this material.
Examples: 1 - 7
Homework:
1, 5, 7, 9, 17, 23, 27, 29, 31, 33, 35, 39, 43, 45, 47, 49, 51
(a lengthy list, but most problems are quickies that shouldn't take
more than a minute or so).
Lecture 16/17, 10/18/06 and 10/23/06: Section 12.9:
Lagrange multipliers and optimization with constraints
- Method of Lagrange multipliers
- Application to optimization problems with constraints
Skip: Case of two (or more) constraints (p. 924 - end)
Examples: 1, 2, 3
Homework:
1, 7, 13, 19, 21, 35
Lecture 15, 10/16/06: Sections 12.5/12.10
Section 12.5: Maxima and minima of functions of several variables, I.
Critical points. First derivative test.
Note: A complete theory of maxima/minima requires consideration
of the following cases:
- maximum or minimum values occurring on the boundary
- maximum or minimum values occurring at points
where partial derivatives do not exist (e.g., tip of a pyramid)
However, these are pathological situations that rarely occur in practice,
and they won't arise in any exam/hw/quiz problems.
- Local/global maxima/minima of functions of several variables
- Critical points, first derivative test for functions of several
variables
Examples: 1, 2, 3, 6
Homework:
3, 9, 13, 19, 31
Section 12.10:
Maxima and minima of functions of several variables, II.
Second derivative test.
- Discriminant
- Second derivative test for functions of two variables
- Classification of critical points as
local maxima, minima, and saddle points.
Examples: 1, 2
Homework:
7, 11, 17
Lectures 13/14, 10/9/06 and 10/11/06: Section 12.8:
Directional derivatives and gradients
- Directional derivative
- Rate-of-change interpretation of directional derivative
- Partial derivatives as directional derivatives
- Gradient of a function of several variables
- Geometric interpretation of the gradient
- Relation between the gradient and level curves/surfaces
- Computation of tangent planes and tangent lines via gradients
Skip: Example 7 (Intersection of two surfaces)
Examples: 1 - 6, 8
Homework: Section 12.8:
1, 9, 11, 15, 21, 31, 33, 45, 47, 49, 57, 61
Lecture 12, 10/4/06: Section 12.7: Multivariable chain rule
- Independent variables, dependent variables, intermediate variables
- Dependency diagram
- Multivariable chain rule
- Implicit partial differentiation
Skip: Matrix form of chain rule and proof of chain rule
(p. 903 bottom through end of section).
Examples: 1 - 8
Homework: Section 12.7:
3, 5, 13, 19, 23, 33, 40, 47, 49, 51
Lecture 11, 10/2/06: Section 12.6: Differentials and linear
approximation
[Section 12.5 will be covered later.]
- Differential of a function of several variables
- Linear approximation to a function of several variables
- Connection to tangent planes (formula (11) from 12.4)
- Application to error estimates
Skip: The latter part of this section,
from the bottom of p.894 through the end. The concept of a gradient,
introduced here, will be covered more thoroughly in 12.8.
Examples: 1, 2, 3, 5
Homework: Section 12.6:
1, 7, 15, 17, 25, 33, 35, 38.
(For tangent plane problems,
see Section 12.4, e.g. Problem 31.)
Lecture 10, 9/27/06: Section 12.4: Partial derivates
[Because of Wednesday's exam, this material will be covered during the
discussion sections on Thursday, 9/28.]
- Definition of partial derivatives, and notations
- Geometric interpretation
- Interpretation as rates of change
- Higher order partial derivatives
- Tangent plane to surface z = f(x,y)
- Normal vector to surface z = f(x,y)
Examples: 1 - 8
Homework: Section 12.4:
3, 5, 7, 31, 35, 55, 62, 63, 65, 71
Lecture 9, 9/25/06: Sections 12.1 - 12.3: Functions of several
variables
Note.
This lecture will focus almost exclusively on Section 12.2.
Section 12.1 is a very short introductory section. It does not
formally introduce new material, but serves to motivate some of the
problems and concepts coming up later in this chapter.
Section 12.3 introduces the concepts of limits and continuity of
functions of several variables. The formal discussion of these
concepts will be deferred till later in the semester. For the time
being, just use these concepts in their intuitive meaning.
- Function of two or more variables
- Graph of a function of two variables
- Level curves (for functions of two variables)
- Level surfaces (for functions of three variables)
Examples: 3 - 9
Homework: Section 12.2:
21, 23, 27, 31, 33, 37, 53, 55, 57
Lecture 8, 9/20/06: Section 11.7: Quadratic surfaces
- Equation of a sphere of given radius and center (p. 782 in
11.2)
- General equation of a quadratic surface
- Traces
-
Special quadratic surfaces.
Click on the above link for a summary of these special surfaces (a
copy of the transparency that was shown in class).
- Ellipsoid
- Elliptic Paraboloid
- Hyperbolic Paraboloid
- Hyperboloid of one sheet
- Hyperboloid of two sheet
- Cylinder
- Cone
What you need to know from this section:
While you will not be asked to sketch surfaces, you should be familiar
with the rough shapes of the above surfaces and the general form of their
equations.
In particular, you should be able to do the following tasks.
- Find the equation of a sphere, given its center and its radius.
- Given the equation of a sphere, find its center and radius.
- Identity the type of a surface (from the above list), given its
equation.
- Identify the type of surface (from the above list), given
a 3-dimensional sketch.
Skip:
Surfaces of revolution (p. 834, bottom, through middle of p. 835).
(We'll cover this material when we get to cylindrical/spherical coordinates
and triple integrals.)
Examples: 11.2, Examples 2 and 3; 11.7, Examples 1 - 5 and 8 -
13
Homework: Section 11.2:
19, 25;
Section 11.7: 3, 9, 17, 23, 25, 27, 29, 41, 43, 45
Lectures 6/7, 9/13/06 and 9/18/06:
Section 11.6: Curvature and Acceleration
- Arc length formula for a space curve (formula (2), p. 819)
- Unit tangent vector T
- Principal unit normal vector N
- Curvature K of space curves: Geometric interpretation
(in terms of osculating circle), formulas
in terms of T ((19), p. 823),
in terms of r' and r'' ((27), p. 826)
- Curvature of a circe of radius R
- Curvature of a plane curves (formulas (12), (13) on p. 821
- don't memorize these)
- Tangential and normal components of acceleration: Formulas in
terms of v and kappa ((23), (24), (25), p. 824)
and in terms of r' and r'' ((26), p. 825, (28), p. 826)
Note:
You need not memorize the somewhat complicated formulas (12) and (13)
for the curvature of a plane curve - just be aware that such formulas
exist and be able to apply them correctly (they will be needed in some
of the hw formula). All of the other formulas mentioned above you
should memorize.
Skip:
The applications in the latter part of the
section to Kepler's law and planetary motion, will be covered only
lightly, but will not be on exams or quizzes.
Examples: 1,2,4,5,6,7
Homework: Section 11.6:
1, 9, 11, 21, 23, 33, 38 (using the curve defined in 33), 43
(curve defined in 33), 46, 50
Lecture 5, 9/11/06: Section 11.5: Curves and Motion in Space
- Vector-valued functions: Definition and geometric interpretation
as motion in space
- Derivatives of vector-valued functions: algebraic definition
(componentwise differentiation) and geometric interpretation (tangent
vector)
- Differentiation rules (Theorem 2, p. 808)
- Integrals of vector-valued functions
- Motion in space: position, velocity, speed,
acceleration, scalar acceleration
- Application: motion of projectiles (covered lightly)
Examples: 1 - 8
Homework: Section 11.5:
5, 8, 15, 17, 23, 27, 35, 42, 55
Lecture 4, 9/5/06 and 9/6/06: Section 11.4: Lines and Planes in Space
Lines in space:
- Vector equation
- Parametic equations
- Symmetric equations
Planes in space:
- Normal vector to plane
- Vector equation
- Scalar equation (linear equation)
Typical tasks:
- Given a vector equation of a line, find parameter equations
and (if possible) symmetric equations. Conversely. given parameter
equations of a line, find a direction vector for the line, and a
vector equation.
- Find the equation of a line given (a) a point on the line and a
direction vector, (b) two points on the line.
- Given two lines, determine whether they (a) are
parallel or coincide, (b) intersect at a single point, (c) are skew
(do not intersect and are not parallel). (Hints: (1) Compare direction
vectors; (2) compute intersection points (if any) by writing both lines
in parameter form (using different parameters, say t and s), then equating
the x, y, and z coordinates for the two lines, and solving the
resulting system.)
- Given a vector equation of a plane, find a scalar equation.
Conversely, given a scalar equation of a plane, find a
normal vector and a vector equation.
- Find the equation of a plane given (a) a point on the plane
and a normal vector, (b) a point on the
plane and two vectors on the plane,
(c) three points on the plane
- Given two planes, determine whether they (a) coincide, (b) are
parallel (but do not coincide), (c) intersect at an angle; in the
latter case determine the angle of intersection
(Hint: Compare normal vectors.)
- Given a line and a plane, determine whether the line (a) lies
entirely in the plane,
(b) is parallel to the plane (but does not lie in it),
or (c) intersects the plane at
a single point. In the latter case determine the point of
intersection. (Hint: Compare the normal vector of the plane and the
direction vector of the line.)
Skip: You can skip the last example (Example 7, p. 802),
and the preceding two paragraphs. For the symmetric equations,
you can ignore the case when one of a, b, or c is zero. (This case
leads to a zero denominator in the standard symmetric equations,
so it needs to be handled somewhat differently.)
Examples: 1 - 6
Homework: Section 11.4:
3, 7, 9, 15, 17, 23, 29, 31, 33, 35, 37, 39
Lecture 3, 8/30/06: Section 11.3: The cross product
Definition and basic properties:
- 2 by 2 and 3 by 3 determinants
- Definition of cross product in terms of 3 by 3 determinants
- Geometric interpretation of cross product
- Cross products of parallel vectors
- Cross products of basic unit vectors
- Properties (formulas (12) - (15) on p. 794, skip (16))
- Scalar triple product
Applications:
- Computing vectors perpendicular to two given vectors
- Area of parallelograms and triangles
- Volume of parallelepipeds and pyramids
- Testing if three given vectors (or four given points)
are coplanar (i.e., lie in the same plane)
Examples: 1 - 8
Homework: Section 11.3:
1, 7, 13, 15, 17, 19
Lecture 2, 8/28/06: Section 11.2: Three-dimensional vectors. The dot
product
Three-dimensional vectors:
- 3-dimensional coordinate system, rectangular coordinates,
coordinate axes, coordinate planes, octants
- Distance formula
- 3-dimensional vectors: length (magnitude), addition/subtraction,
multiplication by scalar, unit vectors, unit basis vectors i,
j, k
Dot product:
- Definition in terms of components
- Geometric interpretation
- Properties ((9) on p. 784)
Applications of the dot product:
- Testing perpendicularity of vectors
- Computing angle between vectors
- Computing angles in triangle
- Direction angles
- Scalar projection of a onto b
(component of a along b, compba)
- Work
Deferred: Equation for sphere (p. 782). (This is easy material,
but fits better with 11.8, so we will cover it when we get to this
section.)
Examples: 4 - 11 (The first three examples are skipped since
they deal with equations of spheres)
Homework: Section 11.2:
39, 41, 43, 45, 49, 53, 55
Lecture 1, 8/23/06: Section 11.1: Vectors in the Plane
Basic concepts:
- Vectors in the plane. Definition and notations
(angle brackets, and boldface/arrow). Geometric interpretation as
arrow in plane.
- Position vector.
- Length (or magnitude) of a vector (formula and geometric meaning).
- Equality of two vectors.
- Addition of two vectors. Definition and geometric interpretation.
- Multiplication of a vector by a scalar. Definition and geometric
interpretation.
- Unit vectors. Normalizing a given vector (i.e., forming a unit
vector in the same direction as the given vector).
- Unit basis vectors i and j.
- Representation of a vector as linear combination of basis vectors.
Examples: 1 - 4 (you can skip 5 and 6)
Homework Section 11.1:
1, 5, 9, 17, 21, 33, 51.
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