arXiv · 2610.18723
Optimal Support Size Testing
Abstract
We present an optimal tester for support size that determines whether an unknown probability distribution is supported on $n$ elements or $\varepsilon$-far away (in total variation distance) with sample complexity $Θ(\frac{n}{\varepsilon\log(n)})$, improving the prior best $O(\frac{n}{\varepsilon\log(n)} \log(\min\{\frac{1}{\varepsilon}, n\}))$ due to Ferreira Pinto Jr. and Harms (STOC 2025). As a generalization, we provide a pretty good lower bound on support size.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Qisheng Wang. 2026-10-13. Optimal Support Size Testing. https://arxiv.org/abs/2610.18723
Cite the original work for its findings. Save a collection to share your selection of sources.