Improved Optimal Testing Results from Global Hypercontractivity
Tali Kaufman, Dor Minzer
摘要
The problem of testing low-degree polynomials has received significant attention over the years due to its importance in theoretical computer science, and in particular in complexity theory. The problem is specified by three parameters: field size q, degree d and proximity parameter δ, and the goal is to design a tester making as few as possible queries to a given function, which is able to distinguish between the case the given function has degree at most d, and the case the given function is δ-far from any degree d function. With respect to these parameters, we say that a tester is optimal if it makes queries, where is the testing dimension of d, q (defined as the minimum integer so that for all of degree more than d, there is a subspace of dimension t on which their restriction has degree exceeding d). For the field of size q, such tester was first given by Bhattacharyya et al. for q = 2, and later by Haramaty et al. [7] for all prime powers q. In fact, they showed that the natural t-flat tester is an optimal tester for the Reed-Muller code, for an appropriate t. Here, the t-flat tester is the tester that picks a uniformly random affine subspace A of dimension t, and checks that . Their analysis proves that the dependency of the t-flat tester on δ and d is optimal, however the dependency on the field size, i.e. the hidden constant in the O, is a tower-type function in q. We improve the result of Haramaty et al., showing that the dependency on the field size is polynomial. Our technique also applies in the more general setting of lifted affine invariant codes, and gives the same polynomial dependency on the field size. This answers a problem raised in [6]. Our approach significantly deviates from the strategy taken in earlier works [2], [7], [6], and is based on studying the structure of the collection of erroneous subspaces, i.e. subspaces A such that f|A has degree greater than d. Towards this end, we observe that these sets are poorly expanding in the affine version of the Grassmann graph and use that to establish structural results on them via global hypercontractivity. We then use this structure to perform local correction on f.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper5
- Multi-Pass Streaming Lower Bounds for Approximating Max-CutYumou Fei, Dor Minzer, Shuo WangFOCS 2025 · 被引用 10 次
- Deterministic Hardness of Approximation of Unique-SVP and GapSVP in ℓp Norms for p>2Yahli Hecht, Muli SafraSTOC 2026 · 被引用 8 次
- Adversarial Low Degree TestingDor Minzer, Kai Zhe ZhengSODA 2024 · 被引用 2 次
- Optimal Testing of Generalized Reed-Muller Codes in Fewer QueriesDor Minzer, Kai Zhe ZhengFOCS 2023 · 被引用 1 次
- Hypercontractivity on HDX II: Symmetrization and q-NormsMax HopkinsSTOC 2025
相关 Paper
- An Improved Line-Point Low-Degree TestPrahladh Harsha, Mrinal Kumar, Ramprasad Saptharishi, Madhu SudanFOCS 2024 · 被引用 2 次
- Approaching the Soundness Barrier: A Near Optimal Analysis of the Cube versus Cube TestDor Minzer, Kai ZhengSODA 2023 · 被引用 3 次
- Plane vs. Plane Low Degree TestAmey Bhangale, Silas RichelsonSODA 2026 · 被引用 2 次
- Low Degree Testing over the RealsVipul Arora, Arnab Bhattacharyya, Noah Fleming, Esty Kelman 等SODA 2023 · 被引用 2 次
- Low Degree Local Correction Over the Boolean CubePrashanth Amireddy, Amik Raj Behera, Manaswi Paraashar, Srikanth Srinivasan 等SODA 2025 · 被引用 1 次
