Ryan O'Donnell tutorial on Hardess of Approximation - Part 3

Ryan O'Donnell tutorial on Hardess of Approximation - Part 3

🎙 Ryan O'Donnell 👥 14K 📅 September 7, 2017 ⏱ 63 min 👁 132 📄 tutorial 🧭 2026-08-17
Available in: English (current) Français

Keywords

hardness of approximationunique games conjectureMax-3LinMax-Cutgadget construction

Summary

This is the third part of a tutorial series by Ryan O’Donnell on hardness of approximation. The talk focuses on the methodology for proving optimal inapproximability results using the Unique Games Conjecture (UGC). The speaker outlines a standard recipe: to prove a hardness result for an optimization problem, one constructs a gadget instance with specific properties. He then applies this to two problems: Max-3Lin and Max-Cut. For Max-3Lin, he constructs a gadget based on a distribution over equations, using the long code and Fourier analysis. He shows that the optimal solutions are coordinate functions, and that any function with low noisy influences has value close to 1/2, leading to a hardness result of 1-δ vs. 1/2+δ. For Max-Cut, he begins to construct a similar gadget but the talk ends before completing the analysis. The presentation is technical, assuming familiarity with Fourier analysis and complexity theory.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a clear and rigorous exposition of a sophisticated technique in theoretical computer science. The argumentation is solid: the speaker carefully defines the gadget, proves key properties, and uses Fourier analysis to bound the value of arbitrary solutions. The step-by-step construction and analysis of the Max-3Lin gadget is particularly valuable, as it demonstrates the entire process from definition to hardness result. The speaker also notes the connection to the Unique Games Conjecture and mentions that the result for Max-3Lin holds even without it, citing Håstad’s work. The presentation is well-structured, with clear explanations of the intuition behind each step.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high: the speaker is a leading researcher in the field, and the content is mathematically precise. The sources cited include Håstad’s work on Max-3Lin and the Unique Games Conjecture, which are standard references. The title accurately describes the content, and the video is part of a workshop series, indicating peer-level scrutiny. The description provides minimal context but is sufficient. The video does not contain any commercial or promotional content.

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Title / Content Match

The title accurately reflects the content: a tutorial on hardness of approximation, specifically focusing on the unique games conjecture and its applications to Max-3Lin and Max-Cut.

Quality & Reliability

8/10

The video is a technical tutorial by a recognized expert in theoretical computer science. The content is mathematically rigorous, with clear definitions and proofs sketched. The presentation is dense but accurate, and the methodology is standard in the field. The video is part of a workshop series, indicating peer-level scrutiny.

Key Moments

Cited Sources

  • Håstad's 1998 paper on Max-3Lin — Mentioned as the source for the hardness result without UGC.
  • Unique Games Conjecture — Central conjecture used in the methodology.

Concurring Sources

  • Håstad's 1998 paper — Supports the hardness result for Max-3Lin without UGC.

Contribution & Novelties

The video provides a clear and detailed walkthrough of the standard gadget construction for proving inapproximability results, specifically for Max-3Lin and Max-Cut. It demonstrates the use of Fourier analysis and noisy influences in a pedagogical manner. The talk is valuable for graduate students and researchers seeking to understand the UGC-based approach.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in quantity, quality, and technical level, with slightly lower reliability due to the lack of formal citations. This indicates a technically dense and informative tutorial, but with limited external verification.

Reliability 8/10