Motivation Factorization of cyclotomic polynomials
69 pages
English

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Motivation Factorization of cyclotomic polynomials

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69 pages
English
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Motivation Factorization of cyclotomic polynomials Some steps to abelian extensions Conclusion Factorization of polynomials over finite fields in deterministic polynomial-time Ivan Boyer Doctorant sous la direction de Jean-François Mestre Institut Mathématique de Jussieu AGCT-13 — C.I.R.M. March 15, 2011 I. Boyer Factorization in Fp[X]

  • context schoof's

  • algorithm

  • root probabilistic-algorithms

  • deterministic polynomial

  • motivation factorization

  • doctorant sous la direction

  • polynomials over


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Nombre de lectures 24
Langue English

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Factorization of polynomials over finite fields in deterministicopylimenomial-t
Doctorant sous la direction de Jean-François Mestre Institut Mathématique de Jussieu
AGCT-13 — C.I.R.M. March 15, 2011
Ivan Boyer
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Remark Thedeterministicaspect iscrucial be- everythingin this talk : comes “trivial” in probabilistic time. In the same way, assuming G.R.H. would withdraw some of the interest of the following !
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IThere are deterministic algorithms inFp[X](egBerlekamp’s algorithm) but exponential in logp. INo deterministic polynomial-time algorithm is known for factorization inFp[X] in degree 2 !. Even IEasy to decide ifaFpis a square (Legendre symbol, or more generally the g.c.d. withxpx) IA lot of literature for square root probabilistic-algorithms, but as for now, we don’t know if it’s aP–problem. IHowever, thanks toSchoof’s algorithm, we can say some-thing indeterministictime.
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IThere are deterministic algorithms inFp[X](egBerlekamp’s algorithm) but exponential in logp. INo deterministic polynomial-time algorithm is known for factorization inFp[X]. Even in degree 2 ! IEasy to decide ifaFpis a square (Legendre symbol, or more generally the g.c.d. withxpx) IA lot of literature for square root probabilistic-algorithms, but as for now, we don’t know if it’s aP–problem. IHowever, thanks toSchoof’s algorithm, we can say some-thing indeterministictime.
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IThere are deterministic algorithms inFp[X](egBerlekamp’s algorithm) but exponential in logp. INo deterministic polynomial-time algorithm is known for factorization inFp[X] in degree 2 !. Even IEasy to decide ifaFpis a square (Legendre symbol, or more generally the g.c.d. withxpx) IA lot of literature for square root probabilistic-algorithms, but as for now, we don’t know if it’s aP–problem. IHowever, thanks toSchoof’s algorithm, we can say some-thing indeterministictime.
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IThere are deterministic algorithms inFp[X](egBerlekamp’s algorithm) but exponential in logp. INo deterministic polynomial-time algorithm is known for factorization inFp[X]. Even in degree 2 ! IEasy to decide ifaFpis a square (Legendre symbol, or more generally the g.c.d. withxpx) IA lot of literature for square root probabilistic-algorithms, but as for now, we don’t know if it’s aP–problem. IHowever, thanks toSchoof’s algorithm, we can say some-thing indeterministictime.
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