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Applied Calculus III
Functions of Multiple Variables

Volume: 15 weeks × 4 lecture periods/week

Textbook: The first part of this course gives some necessary background in linear algebra. There are several books that might be helpful:

  • J. Hefferon, Linear Algebra can be obtained here.

  • Jänich, K., Linear Algebra, Springer, Link to publisher's description

For the remainder of the course, focusing on multidimensional calculus, we use the second half of

  • James Stewart, Calculus, 5th Edition, Brooks-Cole Publishers (International Edition),
    Link to publisher's description

Prerequisites: Vv156.

Last Taught: Summer Term 2010

Background and Goals: The sequence Applied Calculus Vv156-255-256 is an introduction to basic calculus. It differs from the Honors Math sequence in that new concepts are often introduced and extended from concrete examples, remaining closely aligned to applications. Most theorems are stated rigorously and motivated from examples, but complicated proofs and abstract generalizations are often omitted. The emphasis is on applying mathematical results to concrete problems.

The present course includes an overview of linear algebra followed by the calculus of functions in multidimensional euclidean space.

Key Words: Linear systems of equations and the Gauss-Jordan algorithm; finite-dimensional vector spaces (with an emphasis on euclidean space), linear independence and bases; scalar products and Gram-Schmidt orthonormalization; linear maps and matrices; determinants; analytic geometry of lines and planes; parametric representation of curves and surfaces; partial derivatives and applications; line, surface and volume integrals; vector fields the classical theorems of vector analysis in three dimensions (Green, Gauss and Stokes) and applications.

Detailed Content: The first part functions as a general introduction to linear algebra. Many of the components of a standard linear algebra course are touched upon, such as the Gauß-Jordan algorithm for solving systems of equations, the theory of finite dimensional vector spaces, linear maps, matrices and determinants. These elements will serve as an essential toolbox for the following calculus in ℝn.

The second part of the course deals with scalar (potential) functions of multiple variables, also including elements of analytic geometry. In particular, partial and directional derivatives, extrema and integration of scalar functions will be discussed, as well as curves and surfaces in ℝ2 and ℝ3.

In the third part, we introduce vector-vaued functionfs of multiple variables, focussing on vector fields. Topics include potential and conservative fields, line (work) and surface (flux) integrals of vector fields, classical vector differential operators (divergence, rotation, gradient) and the fundamental laws of integration (Green, Gauß, Stokes).

Alternatives: Vv285 (Honors Mathematics III) is a more theoretical course, which covers much of the same material.

Subsequent Courses: Vv256 (Applied Calculus IV) is the natural sequel.

Overview:

Week Lecture Subject Date
1 Systems of Linear Equations
Finite-Dimensional Vector Spaces
11-5-2010
13-5-2010
2 Euclidean and Unitary Vector Spaces
Matrices and Linear Maps
18-5-2010
20-5-2010
3 Matrices and Linear Maps 25-5-2010
27-5-2010
4 Determinants 1-6-2010
3-6-2010
5 Elements of Analytic Geometry
Curves in ℝn
8-6-2010
10-6-2010
6 Curves in ℝn
First Midterm Exam
13-6-2010
17-6-2010
7 Scalar Line Integrals and Functions of Several Variables
Partial Derivatives and Applications
22-6-2010
24-6-2010
8 Integration over Flat Domains
Scalar Line and Surface Integrals
29-6-2010
1-7-2010
9 Extrema of Real Functions
Extrema with Constraints
6-7-2010
8-7-2010
10 Vector Fields and Potential Functions
Second Midterm Exam
13-7-2010
15-7-2010
11 Surfaces and Surface Integrals of Potential Functions 20-7-2010
22-7-2010
12 Extrema of Potential Functions with and without Constraints 27-7-2010
29-7-2010
13 Vector Fields 3-8-2010
5-8-2010
14 Theorems of Green, Stokes and Gauß 10-8-2010
12-8-2010
15 Final Exam 17-8-2010
19-8-2010

Assignments (2010 version; PDF files):

  • Assignment 1

  • Assignment 2

  • Assignment 3

  • Assignment 4

  • Assignment 5

  • Assignment 6

  • Assignment 7

  • Assignment 8

  • Assignment 9

  • Assignment 10

  • Assignment 11

  • Assignment 12

(There will always be minor modifications from one iteration of the course to the next; if you are presently taking the course, your assignments may differ from these.)