Math 3C Course Description
Math 3C is the first course of a two quarter sequence in Differential
Equations and Linear Algebra. The text is Farlowe, et al.
'Differential Equations and Linear Algebra.' (The reader written by
Stopple is no longer in use; that material is not now covered in 3C.)
In differential equations, the emphasis is divided between quantitative
and qualitative aspects
- Only the simplest methods for closed form solutions, namely
separation of variables and first order linear equations are covered.
Because of this, we emphasize accuracy of solutions. Students should
be taught to verify that their answer really does solve the ODE.
- Direction fields, and, for autonomous equations, the phase line,
equilibria and stability are important.
- There is ample time for applications.
In linear algebra, proofs of theorems and large scale hand computations
are de-emphasized in order to tie the material more closely to the
application at hand: systems of linear differential equations. Again,
this means we emphasize the accuracy of those calculations which are
done. Students should verify that solutions of systems of linear
equations, matrix inverses, eigenvectors etc really are correct.
3C covers three chapters in the text. This gives a natural way to
split the material between two midterms and a final. Times given below
are very approximate; we have not yet taught this version of the
syllabus. Also included are URLs where you can find some supplementary
materials and exercises.
Chapters & Topics
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| 1. |
First Order ODEs
Modeling (1 lecture) Example PDF
Direction fields (~ 1 week) Example PDF
Separation of variables (~ 1 week) Example PDF
Euler's method (optional) Example PDF
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| 2. |
Linearity (~ 3 weeks)
Linear Equations
Solving the first order linear equation
The book first does 'Euler-Lagrange Two Stage Method' or 'Variation of Parameters' which should be omitted.
Instead, do Integrating Factors. Example PDF
For the constant coefficient case, you should also do
Undetermined Coefficients. Example PDF
- It emphasize the idea of linearity and
- It is a good introduction to the method they will see again if Math 5A
Growth and Decay
Nonlinear Models Example PDF
Systems of DEs: a first look Example PDF
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| 3. |
Linear Algebra (~ 3 weeks)
Matrices: Sums and Products
Systems of linear equations
Inverse of a matrix
Determinants
Vector spaces and subspaces
Basis and dimension
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