Analytic Perturbation Theory and Its Applications
- Introduction and Motivation
- Finite Dimensional Perturbations
- Inversion of Analytically Perturbed Matrices
- Perturbation of Null Spaces, Eigenvectors, and Generalized Inverses
- Polynomial Perturbation of Algebraic Nonlinear Systems
- Applications to Optimization and Markov Processes
- Applications to Optimization
- Applications to Markov Chains
- Applications to Markov Decision Processes
- Infinite Dimensional Perturbations
- Analytic Perturbation of Linear Operators
- Background on Hilbert Spaces and Fourier Analysis**
- The Hilbert Space L2([−π,π])
- The Hilbert Space H1 (R)
- Fourier Integrals in H1 (R)
- The Complex Hilbert Space L2(R)
- Fourier Integrals in the Complex Space L2(R)