Matrix algebra for beginners, Part II linear transformations, eigenvectors and eigenvalues Jeremy Gunawardena Department of Systems Biology Harvard Medical School 200 Longwood Avenue, Cambridge, MA 02115, USA February 10, 2006 Contents 1 Introduction 1 2 Vector spaces and linear transformations 1 3 Bases and matrices 2 4 Examples—rotations and reflections 5 5 Isomorphism between linear transformations and matrices 5 6 Geometric interpretation of products and determinants 6 7 Change of basis, similarity and eigenvectors 8 8 Eigenvalues and the characteristic equation 10 1
- lengths of the line segments
- basis vectors of equal length
- vector of zero length
- vc
- matrices
- matrix
- vector
- parallelogram
- basis
- vectors