MATH 725 (Applied) Functional Analysis

Graduate course, University of Massachusetts Amherst, Department of Mathematics and Statistics, 2024

Topics

This is a one-semester introduction to Functional Analysis: I plan to cover most of the chapters in Hillen (as time permits), as well as some uses for functional analysis in Neural Networks, and numerical tools to explore functional analysis.

  • Function Spaces;
  • Linear Operators and Subspaces;
  • Duality;
  • Sobolev Spaces and Distributions;
  • Calculus: Integration and Differentiation;
  • Fixed Point Theorems;
  • Calculus of Variations;
  • Spectral theory;
  • Semigroup theory;
  • Applications of functional analysis:
    • Reaction-diffusion equations.
    • Bifurcation theory;
    • Numerical tools (as time permits);
    • Neural-networks;