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Title:  On Solving Univariate Polynomial Equations over Finite Fields and Some Related Problems 
Authors:  Sze, Tsz Wo 
Advisors:  Washington, Lawrence C 
Department/Program:  Computer Science 
Type:  Dissertation 
Sponsors:  Digital Repository at the University of Maryland University of Maryland (College Park, Md.) 
Subjects:  Mathematics Computer Science 
Keywords:  finite fields polynomial equations square roots n th roots primality testing 
Issue Date:  30Oct2007 
Abstract:  In this thesis, we are mainly interested in constructing deterministic polynomialtime algorithms for solving some computational problems that arise in number theory and cryptography. The problems we are interested in include finite field arithmetic, primality testing, and elliptic curve arithmetic.
We first present a novel idea to compute square roots over some families of finite fields. Our square root algorithm is deterministic polynomialtime and can be proved by elementary means. The approach of taking square roots is generalized to take $n$th roots. Then, we present a deterministic polynomialtime algorithm to solve polynomial equations over some families of finite fields. As applications, we construct a deterministic polynomialtime primality test for some forms of integers and show a deterministic polynomialtime algorithm computing elliptic curve ``$n$th roots''.
For example, we prove the following statements. Denote a finite field with $q$ elements and characteristic $p$ by $\F_q$.
(I) Suppose $p\equiv 1\pmod{12}$, $q=2^e3^ft+1$ for some $e,f\geq 1$ and some $t=O(\POLY(\log q))$. There is a deterministic polynomial time algorithm taking square roots over $\F_q$.
(II) Let $r_1^{e_1}\cdots r_m^{e_m}$ be the prime factorization of $q1$. Suppose $r_j=O(\POLY(\log q))$ and a primitive $r_j$th root of unity can be computed efficiently for $1\leq j\leq m$. There is a deterministic polynomial time algorithm solving any polynomial equation with degree $O(\POLY(\log q))$ over $\F_q$.
(III) Let $N=r^et+1$ for some prime $r$ and some positive integers $t$ and $e$ with $r^e>t$. There is an $\O(r^2(\log^2 N)(t+r\log N))$ deterministic primality testing algorithm. If $r$ is a small constant and $t=O(\log N)$, the running time is $\O(\log^3 N)$. 
URI:  http://hdl.handle.net/1903/7632 
Appears in Collections:  UMD Theses and Dissertations Computer Science Theses and Dissertations

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