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Math 1341B, Introduction to Linear Algebra
Fall 2003
Peter Selinger


What we did in each class:

  1. Sept 4: Course intro and OAC review: complex numbers (Ch. 1.7)
  2. Sept 9: OAC review: polar form, dot + cross product (Ch. 1.1-4, 1.6)
  3. Sept 11: OAC review: equation of planes, lines, intersection, angles (Ch. 1.5)
  4. Sept 16: math notation (sets, functions) (Ch. 4.1)
  5. Sept 17: vector spaces (Ch. 4.2-3)
  6. Sept 23: subspace test (Ch. 4.5)
  7. Sept 25: linear combinations, span (Ch. 4.4, 4.6 up to top of p.124)
  8. Sept 30: systems of linear equations, Gaussian elimination, echelon form (Ch. 3.1-3 and 3.5-6)
  9. Oct 2: Review, row canonical form (parts of Ch. 3.7)
  10. Oct 7: span of an infinite set, row/column space, linear independence (Ch. 4.6-4.7)
  11. Oct 9: linear independence examples, basis (Ch. 4.8)
  12. Oct 14: properties of bases, examples (Ch. 4.8, 3.11 up to p.86)
  13. Oct 16: Matrix multiplication (Ch. 2.1-3, 2.5)
  14. Oct 21: Problem solving skills, rank, row canonical form (Ch. 4.9, 3.7)
  15. Oct 23: matrix form of linear systems Ax=b, null space of a matrix, linear functions, examples in R^2, matrix of a linear function F:R^2->R^2 (Ch. 3.9, 5.3)
  16. Oct 28: fast matrix multiplication, inverse of a matrix, postscript demo (Ch. 2.9)
  17. Oct 30: coordinates, matrix of a general linear function (Ch. 4.11, 6.1-2, 6.5)
  18. Nov 4: trace, determinant, change of basis, composition of linear functions (Ch. 2.7, 8.1-6, 6.3)
  19. Nov 6: review
  20. Nov 11: change of basis and matrix representation of a linear function (Ch. 6.3)
  21. Nov 13: eigenvectors, eigenvalues, diagonalization (Ch. 9.1, 9.4-5)
  22. Nov 18: characteristic polynomial, multiplicity of eigenvalues, examples (Ch. 9.5)
  23. Nov 20: eigenspaces, polynomials of matrices, Cayley-Hamilton theorem, solving B^2=-I and B^2=A, similar matrices (Ch. 9.2, 9.3)
  24. Nov 25: eigenvectors and diagonalization of real symmetric matrices (Ch. 9.6). Example: coupled oscillations.
  25. Nov 27: image and kernel of linear maps, determinants via minors and cofactors (Ch. 5.4, 8.7). Example: Fourier analysis.


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Peter Selinger / Department of Mathematics and Statistics / Dalhousie University
selinger@mathstat.dal.ca / PGP key