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February 2, 20260 citationsOpen Access

Higher-order generalizations of stability and arithmetic regularity

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JWJulia WolfCTC. TerryUniversity of Illinois Chicago

Key Points

  • The research aims to define and explore higher-order stability in subsets of finite fields, extending existing theories.
  • Defined higher-order stability concept in 𝔽np.
  • Showed tame subsets can be approximated by low-complexity quadratic varieties with linear error.
  • Compared results with the arithmetic regularity lemma and structure theorems.
  • Demonstrated that higher-order stability generalizes previous findings.
  • Proved that tame subsets can be effectively described by quadratic varieties.
  • Established stronger results than the known structure theorem for bounded VC2-dimension.

Abstract

We define a natural notion of higher order stability and show that subsets of 𝔽np that are tame in this sense can be approximately described by a union of low-complexity quadratic varieties, up to linear error. This generalizes the arithmetic regularity lemma for stable subsets of 𝔽np, proved in earlier work of the authors, to the realm of higher-order Fourier analysis. This result is strictly stronger than the structure theorem for sets of bounded VC2-dimension, first proved by the authors in earlier versions of this paper and now available as a separate manuscript arXiv:2510.12867. Taken together, these results provide group theoretic analogues of results obtained for 3-uniform hypergraphs in arXiv:2111.01737.

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Cite This Study

Wolf et al. (2026) studied this question.

synapsesocial.com/papers/6980fe68c1c9540dea810667https://doi.org/10.17863/cam.124997
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