CHAPTER I: FINITE
DIMENSIONAL VECTOR SPACES
SECTION
1. Abstract vector spaces
2. Right vector spaces
3. o-modules''.
4. Linear dependence
5. Invariance of dimensionality
6. Bases and matrices
7. Applications to matrix theory
8. Rank of a set of vectors
9. Factor spaces
I0. Algebra of subspaces
11. Independent subspaces, direct sums . . .
CHAPTER II: LINEAR TRANSFORMATIONS
1. Definition and examples
2. Compositions of linear transformations
3. The matrix of a linear transformation
4. Compositions of matrices
5. Change of basis. Equivalence and similarity of
matrices
6. Rank space and null space of a linear transformation
7. Systems of linear equations
8. Linear transformations in right vector spaces
9. Linear functions
10. Duality between a finite dimensional space and its
conjugate
space
11. Transpose of a linear transformation
12. Matrices of the transpose
13. Projections
CHAPTER III: THE THEORY OF A SINGLE LINEAR
TRANSFORMATION
1. The minimum polynomial of a linear transformation
2. Cyclic subspaces
……