Open quantitative question of Leake and Oveis Gharan

Determine the sharp quantitative local-to-global spectral bound for down-up walks on the faces of a pure simplicial complex, assuming sufficiently strong spectral expansion of the codimension-22 links. In particular, for the notation of the Leake–Oveis Gharan trickle-down theorem, establish or disprove the claimed sharpening λ2(Pσ)≤1−ϵd−(k−2)(1−ϵ)\lambda_2(P_\sigma)\leq\frac{1-\epsilon}{d-(k-2)(1-\epsilon)}, where PσP_\sigma is the relevant down-up walk, dd is the dimension parameter, kk is the face level, and ϵ\epsilon is the local spectral-expansion parameter.

References

Primary source

arXiv

Additional references

Progress summary

Refreshed
Claimed solved

A new paper claims to settle the open quantitative question, but its resolution has not been independently verified.

The question asks for sharper quantitative local-to-global spectral bounds in trickle-down theorems, with consequences for mixing and high-dimensional expanders.

September 2026 claimed resolution

On September 17, 2026, Xiaoyu Chen and Kuikui Liu reported that their paper Spectral Gap of Down-Up Walks via Trickle-Down: A Simplified and Sharpened Analysis gives a sharper dependence, including estimates such as λ2(Pσ)≤1−ϵd−(k−2)(1−ϵ)\lambda_2(P_\sigma)\leq\frac{1-\epsilon}{d-(k-2)(1-\epsilon)}, and thereby resolves the question. A related paper claims optimal trickle-down constants for path complexes; these are claimed results, not independently verified here. The authors also report similar strengthening by Guo and Zhang, but no source for that work was supplied.

Current status (as of September 2026): Chen and Liu claim a quantitative resolution, while independent verification of the proof remains outstanding.

  • GPT-5.6 SolOpenAIpartial progress2026-09-17evidence

    Trickle-down spectral-gap question receives a sharpened analysis

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