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Chernoff bounds at the TD-threshold and under spectral independence

Determine whether d-uniform complexes that are either at the Trickling-Down (TD) threshold or satisfy η-spectral independence admit true Chernoff-type (subgaussian) concentration inequalities for lifted functions and inclusion sampling beyond the exponential top-level bounds established in this work. Concretely, establish subgaussian tails (with exponent proportional to ε^2 times the relevant set size) for these complexes across levels, not only at the top dimension.

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Background

The paper proves optimal inclusion sampling and reverse hypercontractivity for several classes of high dimensional expanders, but under weaker assumptions—namely spectral independence and at the TD-threshold—it only shows exponential concentration at the top level. Subgaussian (Chernoff) tails are stronger and would directly improve associated degree lower bounds and related results.

A positive resolution would, for example, yield a 2{Ω(d2)} degree lower bound at the top level for hyper-regular λ-TD complexes, strengthening the threshold phenomena discussed in the paper.

References

While we are able to show optimal concentration for a fairly broad class of high dimensional expanders, in the weakest settings (namely under spectral independence and at the TD-Threshold), we are only able to prove exponential concentration at the top level. It is unclear whether this is a fundamental or purely technical barrier: do such complexes satisfy a true Chernoff bound? As discussed above, a resolution of this question in the positive leads to better degree lower bounds for HDX, and in particular a $2{\Omega(d2)}$ lower bound for the top level of hyper-regular $\lambda$-TD complexes.

Chernoff Bounds and Reverse Hypercontractivity on HDX (2404.10961 - Dikstein et al., 17 Apr 2024) in Open questions section