KEY COURSE TOPICS
I. EIGENVALUES AND EIGENVECTORS
Adjoint of an operatorII. INFINITE DIMENSIONAL VECTOR SPACES: EXAMPLES
Hermetian operators
Spectral theorem
Triangularization via unitary similarity transformation
Diagonalization of normal matrices
Positive definite matrices
Quadratic forms and the generalized eigenvalue problem
Extremization with linear constraints
Rayleigh quotient
Singular value decomposition of a rectangular matrix
Pseudo-inverse of a recangular matrix
Sturm-Liouville systems: regular, periodic, and singularIII. INFINITE DIMENSIONAL VECTOR SPACES: PRINCIPLES
Sturm-Liouville series
Inner product spacesTexts:(1) G. Strang: Linear Algebra and its Applications (Chapter 5,6, and Appendix A)
Complete metric spaces
Hilbert spaces
Square summable series and square integrable functions
Least squares approximation
Projection theorem
Generalized Fourier coefficients
Bessel's inequality, Parceval's equality and completeness
Unitary transformation between Hilbert spaces