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        <identifier>oai:drops-oai.dagstuhl.de:14278</identifier>
        <datestamp>2024-03-06T10:53:51Z</datestamp>
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          <dc:title>A Lower Bound on Determinantal Complexity</dc:title>
          <dc:creator>Kumar, Mrinal</dc:creator>
          <dc:creator>Volk, Ben Lee</dc:creator>
          <dc:subject>Determinantal Complexity</dc:subject>
          <dc:subject>Algebraic Circuits</dc:subject>
          <dc:subject>Lower Bounds</dc:subject>
          <dc:subject>Singular Variety</dc:subject>
          <dc:description>The determinantal complexity of a polynomial P ∈ 𝔽[x₁, …, x_n] over a field 𝔽 is the dimension of the smallest matrix M whose entries are affine functions in 𝔽[x₁, …, x_n] such that P = Det(M). We prove that the determinantal complexity of the polynomial ∑_{i = 1}^n x_i^n is at least 1.5n - 3. &#13;
For every n-variate polynomial of degree d, the determinantal complexity is trivially at least d, and it is a long standing open problem to prove a lower bound which is super linear in max{n,d}. Our result is the first lower bound for any explicit polynomial which is bigger by a constant factor than max{n,d}, and improves upon the prior best bound of n + 1, proved by Alper, Bogart and Velasco [Jarod Alper et al., 2017] for the same polynomial.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Mrinal Kumar and Ben Lee Volk</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 200, 36th Computational Complexity Conference (CCC 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2021.4</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-142781</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2021.4</dc:identifier>
          <dc:language>eng</dc:language>
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