A Note on Second-Order Expected Maximum-Load Bounds for Binary Linear Hashing
Nader H. Bshouty

TL;DR
This paper refines bounds on the maximum load in binary linear hashing, showing it nearly matches fully independent hashing at second-order scales and providing sharp tail bounds for individual buckets.
Contribution
It improves the exponential-potential method to show binary linear hashing closely matches fully independent hashing at second-order load scales.
Findings
Expected maximum load matches fully independent hashing up to second-order corrections.
Derived tail bounds for individual bucket loads with asymptotic tightness.
Established that union bounds over all buckets lose only a small factor.
Abstract
Let have size , and let be a uniformly random linear map. For , write , and let be the maximum load. Jaber, Kumar and Zuckerman (STOC 2025) proved that the expected maximum load of on is at most , matching the fully independent keys-into-bins scale up to constants. Their proof also gives the tail estimate \[ \Pr\left[ M(S,h)\ge R\frac{\log n}{\log\log n} \right] \le O\left(\frac{1}{R^{2}}\right). \] We record a base optimization in their exponential-potential method showing that binary linear hashing nearly matches fully independent hashing also at the level of the second-order maximum-load scale. For every satisfying , where is an absolute constant, we prove \[ \Pr\left[…
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