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        <identifier>oai:drops-oai.dagstuhl.de:10837</identifier>
        <datestamp>2024-03-06T10:46:50Z</datestamp>
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          <dc:title>Counting Basic-Irreducible Factors Mod p^k in Deterministic Poly-Time and p-Adic Applications</dc:title>
          <dc:creator>Dwivedi, Ashish</dc:creator>
          <dc:creator>Mittal, Rajat</dc:creator>
          <dc:creator>Saxena, Nitin</dc:creator>
          <dc:subject>deterministic</dc:subject>
          <dc:subject>root</dc:subject>
          <dc:subject>counting</dc:subject>
          <dc:subject>modulo</dc:subject>
          <dc:subject>prime-power</dc:subject>
          <dc:subject>tree</dc:subject>
          <dc:subject>basic irreducible</dc:subject>
          <dc:subject>unramified</dc:subject>
          <dc:description>Finding an irreducible factor, of a polynomial f(x) modulo a prime p, is not known to be in deterministic polynomial time. Though there is such a classical algorithm that counts the number of irreducible factors of f mod p. We can ask the same question modulo prime-powers p^k. The irreducible factors of f mod p^k blow up exponentially in number; making it hard to describe them. Can we count those irreducible factors mod p^k that remain irreducible mod p? These are called basic-irreducible. A simple example is in f=x^2+px mod p^2; it has p many basic-irreducible factors. Also note that, x^2+p mod p^2 is irreducible but not basic-irreducible!&#13;
We give an algorithm to count the number of basic-irreducible factors of f mod p^k in deterministic poly(deg(f),k log p)-time. This solves the open questions posed in (Cheng et al, ANTS'18 &amp; Kopp et al, Math.Comp.'19). In particular, we are counting roots mod p^k; which gives the first deterministic poly-time algorithm to compute Igusa zeta function of f. Also, our algorithm efficiently partitions the set of all basic-irreducible factors (possibly exponential) into merely deg(f)-many disjoint sets, using a compact tree data structure and split ideals.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ashish Dwivedi and Rajat Mittal and Nitin Saxena</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 137, 34th Computational Complexity Conference (CCC 2019)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.CCC.2019.15</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-108373</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CCC.2019.15</dc:identifier>
          <dc:language>eng</dc:language>
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