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        <identifier>oai:drops-oai.dagstuhl.de:27773</identifier>
        <datestamp>2026-09-09T12:19:38Z</datestamp>
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          <dc:title>An Improved Construction of Variety-Evasive Subspace Families</dc:title>
          <dc:creator>Andrews, Robert</dc:creator>
          <dc:creator>Garg, Abhibhav</dc:creator>
          <dc:subject>algebraic complexity</dc:subject>
          <dc:subject>pseudorandomness</dc:subject>
          <dc:subject>varieties</dc:subject>
          <dc:subject>variety-evasive subspaces</dc:subject>
          <dc:subject>Chow forms</dc:subject>
          <dc:description>We study the question of explicitly constructing variety-evasive subspace families, a pseudorandom primitive introduced by Guo (Computational Complexity 2024) that generalizes both hitting sets and lossless rank condensers. Roughly speaking, a variety-evasive subspace family ℋ is a collection of subspaces such that for every algebraic variety V in a fixed family ℱ, there is some subspace W ∈ ℋ that is in general position with respect to V.&#13;
We give an explicit construction of a subspace families that evade all degree-d varieties in an n-dimensional affine or projective space. Our construction improves on the size of the variety-evasive subspace families constructed by Guo and, for varieties of degree n^{1 + Ω(1)}, is polynomially close to Guo’s lower bound on the size of any such variety-evasive subspace family. Our variety-evasive subspace families rely on an improved construction of hitting sets for Chow forms of algebraic varieties.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Robert Andrews and Abhibhav Garg</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 392, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2026)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2026.56</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-277738</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2026.56</dc:identifier>
          <dc:language>eng</dc:language>
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