Analysis of Boolean Functions at CMU - Lecture 23: Open problems

Analysis of Boolean Functions at CMU - Lecture 23: Open problems

🎙 Ryan O'Donnell 👥 14K 📅 July 8, 2017 ⏱ 76 min 👁 475 📄 lecture 🧭 2026-08-17
Available in: English (current) Français

Keywords

Boolean functionsFourier analysisOpen problemsComplexity theoryConjectures

Summary

In this final lecture of the course ‘Analysis of Boolean Functions’ at CMU, Ryan O’Donnell presents a selection of open problems in the field. He begins with the triangle removal problem in additive combinatorics, discussing the gap between upper and lower bounds. He then introduces the Aaronson-Ambainis conjecture, which relates to the influence of variables in bounded functions, and the Fourier Entropy-Influence conjecture, which connects spectral entropy and total influence. He also revisits Mansour’s conjecture on DNF sparsity, the inner product mod 2 conjecture in circuit complexity, and the sensitivity conjecture, including the average vs. max sensitivity problem. Throughout, he provides context, known results, and potential implications, making the lecture a valuable resource for researchers and advanced students.

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Critical Evaluation

Value of the Information & Strength of the Argument

The lecture provides a high-value overview of several central open problems in the analysis of Boolean functions. O’Donnell explains each problem clearly, motivates it with connections to other areas (e.g., quantum computing, learning theory, circuit complexity), and summarizes the state of the art. The argumentation is solid, as he carefully distinguishes between known results and conjectures, and he often gives intuition for why the conjectures are plausible. He also highlights the gaps in our knowledge, such as the enormous gap in the triangle removal problem, which underscores the importance of these open questions.

Scientific Rigor, Source Quality, Title Accuracy

The lecture is scientifically rigorous, with O’Donnell referencing specific papers and authors for each problem. He mentions works by Green, Bhattacharya, Aaronson, Ambainis, Friedgut, Kalai, Mansour, and others, and he points to his own contributions. The sources are credible and relevant. The title accurately reflects the content, as the lecture is indeed about open problems. The presentation is well-structured, and the mathematical statements are precise, with proper definitions and conditions.

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Title / Content Match

The title accurately reflects the content: a lecture dedicated to open problems in the analysis of Boolean functions.

Quality & Reliability

9/10

Lecture by a leading expert in the field, based on a well-established graduate course. The content is rigorous, with references to specific papers and conjectures. The presentation is clear and the mathematical statements are precise.

Key Moments

Cited Sources

Concurring Sources

Contribution & Novelties

This lecture offers a unique synthesis of several major open problems in the analysis of Boolean functions, presented by a leading researcher. It provides a clear roadmap of the current frontiers, including the triangle removal problem, the Aaronson-Ambainis conjecture, the Fourier Entropy-Influence conjecture, Mansour’s conjecture, the inner product mod 2 conjecture, and the sensitivity conjecture. The lecture is particularly valuable for its insights into the connections between these problems and other areas of computer science and mathematics.

Pour aller plus loin :

  • Analysis of Boolean Functions — The companion textbook and course materials.
  • Fourier Entropy-Influence Conjecture — Wikipedia page with background and references.
  • Sensitivity conjecture — Wikipedia page on the sensitivity conjecture, recently resolved.
  • Aaronson-Ambainis conjecture — Wikipedia page on this conjecture.
  • Mansour’s conjecture — Wikipedia page on Mansour’s conjecture.

130 words

Radar Profile

The radar profile shows high scores across all dimensions, indicating a lecture that is rich in information, technically deep, and highly reliable. The balance between quantity and quality is excellent, with a strong emphasis on rigorous mathematical content.

Reliability 9/10