- Week 1: Introduction/Historical Background. Fourier series on the torus. Basic properties of Fourier coefficients (Riemann-Lebesgue lemma). Partial sums and the Dirichlet kernel. Criteria for pointwise convergence (Dini).
- Week 2: Partial sums and continuity (duBois-Reymond). Summability methods: Fejér and Poisson kernels. Approximate identities. Density of trigonometric polynomials in L^p.
- Week 3: Norm convergence of partial sums: L^2 setting. Relation to boundedness of partial summation. The Maximal function: introduction and basic properties.
- Week 4: Weak L^1 and L^p boundedness of the maximal function
- Week 5: The maximal function and a.e. convergence of radially bounded approximate identities
- Week 6: Weak L^p spaces, maximal operators and a.e. convergence, Marcinkiewicz interpolation
- Week 7: Fourier transform, Schwartz space
- Week 8: Tempered distributions and their Fourier transform
- Week 9: Hilbert transform