Folland Seminar — Study Skeleton

Folland Seminar — Study Skeleton

Current / Reference edition

  • Existing: Seminar 04 — Lp spaces and inequalities — working note
  • Next: Week 05 — Duality of Lp
  • Reference edition assumption: Real Analysis: Modern Techniques and Their Applications, 2nd edition (1999), ISBN 9780471317166. The existing notes do not specify the edition or printing.
  • Edition / chapter-order source: Wiley publisher catalogue
  • Printing check / errata: author’s book errata page
  • TODO: Check the edition, printing, table of contents on pp. xiii–xiv, and section numbers against your copy.
  • Scope: Follow the main chapters from §6.2 through §11.4. Complete exercise solutions and each chapter’s Notes and References are not assigned separate weeks.
  • Workload: Plan 150–165 minutes per week, with prerequisites checked separately before the presentation.
  • Checklist of unverified prerequisites

Study order / Dependency

  • §6.2 duality → §6.3 integral inequalities → §6.4 weak Lp → §6.5 interpolation
  • Chapter 7 Radon measures → Chapter 8 Fourier analysis → Chapter 9 distributions / Sobolev spaces
  • Chapter 10 probability → Chapter 11 further measures and integration
  • Dependency: Chapters 1–3 / §7.4 / §8.6 → Chapter 10; Chapters 1 / 4 / 7 → Chapter 11
  • TODO: Distinguish reading order from the actual prerequisites of each theorem in every week.

Ordered Weeks

WeekMain topicReference sectionSeminar
05Duality of Lp§6.2 Part I165 min
06Lp Duality — Endpoints and Consequences§6.2 Part II150 min
07Integral Inequalities and Kernel Operators§6.3 Part I150 min
08Homogeneous Kernels and Hardy Inequalities§6.3 Part II150 min
09Distribution Functions and Weak Lp§6.4150 min
10Riesz–Thorin Interpolation§6.5 Part I165 min
11Marcinkiewicz Interpolation§6.5 Part II165 min
12Radon Representation — Measure Construction§7.1 Part I165 min
13Radon Representation — Integral and Uniqueness§7.1 Part II150 min
14Radon Regularity and Approximation§7.2150 min
15The Dual of C0§7.3165 min
16Products of Radon Measures§7.4150 min
17Fourier Preliminaries and Convolution§8.1; 8.2 Part I150 min
18Approximate Identities and Smooth Approximation§8.2 Part II165 min
19Fourier Transform on L1 and Schwartz Space§8.3 Part I150 min
20Fourier Inversion and Plancherel§8.3 Part II165 min
21Periodization and Summation of Fourier Integrals§8.3 Part III; 8.4 Part I165 min
22Summation of Fourier Series§8.4 Part II150 min
23Pointwise Fourier Convergence — Localization§8.5 Part I165 min
24Pointwise Fourier Convergence — Limits of the Theory§8.5 Part II150 min
25Fourier Analysis of Measures§8.6150 min
26Fourier Methods for PDE — Poisson and Heat Kernels§8.7 Part I165 min
27Fourier Methods for PDE — Wave Equation§8.7 Part II150 min
28Distributions — Test Functions and Derivatives§9.1 Part I150 min
29Distributions — Localization and Regularization§9.1 Part II165 min
30Compactly Supported Distributions§9.2 Part I165 min
31Tempered Distributions and Fourier Transform§9.2 Part II165 min
32Periodic Distributions and Fourier Coefficients§9.2 Part III150 min
33Sobolev Spaces — Fourier and Hilbert Structure§9.3 Part I165 min
34Sobolev Embedding and Localization§9.3 Part II165 min
35Elliptic Regularity in Sobolev Spaces§9.3 Part III165 min
36Probability — Measure and Independence§10.1150 min
37Laws of Large Numbers — Weak Law and Maximal Estimate§10.2 Part I150 min
38Strong Law of Large Numbers§10.2 Part II165 min
39Central Limit Theorem§10.3150 min
40Construction of Sample Spaces§10.4150 min
41Wiener Process — Gaussian Construction§10.5 Part I150 min
42Wiener Process — Continuous Paths§10.5 Part II165 min
43Haar Measure — Existence§11.1 Part I165 min
44Haar Measure — Uniqueness and Modular Function§11.1 Part II165 min
45Hausdorff Measure and Dimension§11.2 Part I150 min
46Hausdorff Measure on Submanifolds§11.2 Part II165 min
47Self-Similarity and Dimension§11.3165 min
48Integration on Manifolds§11.4150 min

Cross-reference