Explicit near-Ramanujan graphs of every degree

Explicit near-Ramanujan graphs of every degree

🎙 Ryan O'Donnell 👥 14K 📅 July 9, 2019 ⏱ 55 min 👁 1K 📄 expert opinion 🧭 2026-08-17
Available in: English (current) Français

Keywords

Ramanujan graphsexpander graphseigenvaluestrace methodgraph liftsderandomizationspectral radius

Summary

The talk presents a new construction of explicit near-Ramanujan graphs for any degree. The speaker begins by introducing the trace method for counting closed walks and its application to bounding the largest eigenvalue of the adjacency matrix. He then discusses non-backtracking walks and the Ihara-Bass formula, which relates eigenvalues of the non-backtracking matrix to those of the adjacency matrix. The main result, joint work with Sidhanth Mohanty and Pedro Paredes, is a derandomization of Friedman’s theorem: for any degree d, they construct explicit d-regular graphs with second largest eigenvalue at most 2√(d-1)+ε. The construction uses a technical theorem about random lifts: given a base graph with a certain ’no bicycles’ property, a random 2-lift preserves the spectral bound with high probability. Starting from a small graph obtained via derandomization, they iteratively apply 2-lifts to obtain graphs of any size. The talk also covers historical context, including the Alon-Boppana bound, previous constructions for prime powers, and the probabilistic method.

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Critical Evaluation

Value of the Information & Strength of the Argument

The talk provides a clear and insightful explanation of the techniques used in the construction. The speaker motivates each step, from the trace method to the use of graph lifts, and explains the intuition behind the technical conditions. The argumentation is solid, building on well-established results and clearly stating the new contributions. The presentation is accessible to a mathematically mature audience, with a good balance of high-level ideas and technical details.

Scientific Rigor, Source Quality, Title Accuracy

The talk is scientifically rigorous, with proper attribution to prior work (e.g., Friedman, Bordenave, Lubotzky-Phillips-Sarnak, Morgenstern). The speaker is transparent about the limitations of the construction (e.g., not strongly explicit) and acknowledges open questions. The title accurately reflects the content, which focuses on explicit constructions of near-Ramanujan graphs. The talk is based on a joint paper, and the speaker provides references in the description.

150 words

Title / Content Match

The title accurately reflects the main result presented: explicit construction of near-Ramanujan graphs for any degree.

Quality & Reliability

8/10

The talk is by a recognized expert in theoretical computer science and combinatorics. The content is mathematically rigorous, with clear definitions and references to prior work. The presentation is informal but technically accurate, and the speaker acknowledges limitations and open questions.

Key Moments

Cited Sources

  • BIRS Workshop 19w5088 — The talk was given at this workshop, and the description links to the workshop page.

Concurring Sources

  • Friedman's theorem (2008) — The speaker references Friedman's theorem as the basis for the random graph result.
  • Bordenave's simplification (2015) — The speaker mentions Bordenave's simplified proof of Friedman's theorem.
  • Lubotzky-Phillips-Sarnak (1988) — The speaker cites this work for explicit Ramanujan graphs when d-1 is prime.

Contribution & Novelties

The talk presents a novel construction of explicit near-Ramanujan graphs for any degree, improving on previous results that required prime powers or used probabilistic methods. The key innovation is a derandomization of Friedman’s theorem using random 2-lifts, which preserves the spectral bound while maintaining explicitness. This provides a deterministic polynomial-time construction for graphs of any size, with a trade-off in explicitness (probabilistically strongly explicit).

Pour aller plus loin :

  • Ramanujan graph — Background on Ramanujan graphs and their properties.
  • Expander graph — Overview of expander graphs and their applications.
  • Alon–Boppana bound — The lower bound on the second eigenvalue of d-regular graphs.
  • Friedman’s theorem — The theorem that random d-regular graphs are near-Ramanujan.
  • Ihara–Bass formula — The formula relating adjacency and non-backtracking matrices.

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Radar Profile

The radar profile shows high scores in technical level and information quality, reflecting the advanced mathematical content and rigorous presentation. The lower score in quantity of information is due to the talk's focus on a specific result rather than a broad overview. Overall, the talk is highly reliable and informative for an expert audience.

Reliability 8/10