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Course description:

Formerly M311.

The emphasis in this course is on understanding the concepts and learning to use the tools

of linear algebra and matrices. Some time should be devoted to teaching students to do

proofs. The fundamental concepts and tools of the subject covered are:

Matrices:

matrix operations, the rules of matrix algebra, invertible matrices.

Linear equations :

row operations and row equivalence; elementary matrices; solving ystems of linear

equations by Gaussian elimination; inverting a matrix with the aid of row operations.

Vector spaces:vector spaces and subspaces; linear independence and span of a set of

vectors, basis and dimension; the “standard” bases for common vector spaces.

Inner product spaces :

Cauchy-Schwarz inequality, orthonormal bases, the Gramm-Schmidt procedure,

orthogonal complement of a subspace, orthogonal projection.

Linear Transformations:

kernel and range of a linear transformation, the Rank- Nullity Theorem, linear

transformations and matrices, change of basis, similarity of matrices.

Determinants :

the definition and basic properties of determinants, Cramer’s rule.

Eigenvalues:

eigenvalues and eigenvectors, diagonalizability of a real symmetric matrix, canonical

forms.
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