Part 1: Mathematical Foundations for Inverse Problems

Chapter 1: Functional Analysis for Imaging

Advanced~200 min

Learning Objectives

  • Define Banach and Hilbert spaces and verify completeness for the LpL^p family
  • State and prove the Riesz representation and orthogonal projection theorems
  • Characterize bounded, compact, and adjoint operators and compute their norms
  • Decompose a compact operator via its singular system and state the Picard condition
  • Work with distributions, Sobolev spaces, and Green's functions in the PDE sense
  • Formulate an imaging problem as a compact forward operator between Hilbert spaces

Sections

Prerequisites

💬 Discussion

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