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Linear Algebra and Geometry (MATH 11005)

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Administrative Information

  1. Unit number and title: MATH 11005 Linear Algebra and Geometry
  2. Level: C/4 (Honours)
  3. Credit point value: 20 credit points
  4. Year: 08/09
  5. First Given in this form: 07/08 (similar material has been given for many years)
  6. Unit Organiser: Lynne Walling
  7. Lecturer: Dr. L. Walling
  8. Teaching block: 1 and 2
  9. Prerequisites: An A in Mathematics A-level or equivalent.

Unit aims

Mathematics 11005 aims to provide some basic tools and concepts for mathematics at the undergraduate level, with particular emphasis on fostering students' ability to think clearly and to appreciate the difference between a mathematically correct treatment and one that is merely heuristic; introducing rigorous mathematical treatments of some fundamental topics in mathematics.

General Description of the Unit

Mathematics 11005 begins with the complex plane, conics, and hyperplanes in n-space, which leads to the straightforward ideas of vectors and matrices, and develops the abstract notion of vector spaces. This is one of the basic structures of pure mathematics; yet the methods of the course are also fundamental for applied mathematics and statistics.

Relation to Other Units

Mathematics 11005 provides foundations for all other units in the Mathematics Honours programmes.

Teaching Methods

Lectures supported by lecture notes, problem sheets, problem sessions, and small-group tutorials.

Learning Objectives

At the end of the unit,the students should:

  • be able to distinguish correct from incorrect and sloppy mathematical reasoning;
  • be familiar with the complex plane, conics, and hyperplanes;
  • be able to solve linear equations using elementary operations;
  • be able to work with matrix algebra, including matrix inverses, determinants, and eigenvalues and eigenvectors.

Assessment Methods

The final mark for Mathematics 11005 is made up as follows:

10% from a midsessional examination in January,

90% from a 2 1/2-hour examination in May/June.

 

Award of Credit Points

You will be awarded either 20 or 0 credit points for Mathematics 11005. To gain 20 credit points, you must

either

gain a pass mark (40 or over), calculated as described above under "Assessment"

or

gain a mark of 30 or over, and satisfy the conditions laid down in section 6.4 of the First Year Handbook.

Transferable Skills

Clear logical thinking; clear mathematical writing; problem solving; the assimilation of abstract and novel ideas.

Texts

The recommended text is: G. Strang, "Linear Algebra and its Applications" (publisher: Harcourt Brace Jovanovich). There are many other good linear algebra texts, by: R.J.B.T. Allenby, H. Anton, J.B. Fraleigh, S.I. Grossman, B. Kolman, S. Lang, S. Lipschutz, and many others. Some students may prefer the style of one of book more than another. The lectures will present the material in a different order from most textbooks.

Syllabus

Note: topics may not appear in exactly this order.

 

  1. Cosine, sine, and the complex numbers.
  2. Conic sections.
  3. Distance, lines, and hyperplanes in n-space.
  4. The solution of linear equations using the three elementary operations.
  5. Linear transformations from n-space to m-space; surjectivity, injectivity, and kernels.
  6. Matrices and matrix algebra; representing linear transformations from n-space to m-space using matrices; solving matrix equations using elementary matrices; inverses using elementary matrices.
  7. Determinants; connections with elementary matrices.
  8. Vector spaces and their basic properties.
  9. Subspaces of vector spaces; linear combinations and span.
  10. Linear dependence and independence; application to rows (columns) of matrices.
  11. Bases for a vector space; dimension of a vector space; row and column rank of a matrix; equality of row and column rank.
  12. Linear transformations from one vector space to another; using matrices to represent linear transformations from one finite-dimensional vector space to another.
  13. Rank and nullity of a linear transformation, and the relationship between them.
  14. Eigenvalues and eigenvectors; characteristic polynomial of a matrix.
  15. Diagonalisation of a matrix; properties of real symmetric matrices.
  16. Inner products and inner product spaces; symmetric and orthogonal matrices; diagonalisation of matrices in inner product spaces.

Course Home Page

Home Page for Mathematics 11005: http://www.maths.bris.ac.uk/~malhw