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Studies On The Smallest Value Of The Maximal Modulus Of A Reciprocal Algebraic Integer

Posted on:2009-06-17Degree:MasterType:Thesis
Country:ChinaCandidate:M X LiFull Text:PDF
GTID:2120360242496554Subject:Basic mathematics
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The Mahler measure of a polynomial P is the absolute value of the product of all roots of P that have modulus at least 1 multiplied by the leading coefficient. The maximal modulus of an algebraic integer which is related to Mahler measure is an open question in computational number theory. Maximal modulus of an algebraic integer is the largest modulus of its conjugates, also called the house of an algebraic integer which is denoted by (?). Let a be an algebraic integer of degree d, with conjugatesα1=α1,α2,…αd,then(?)=max1≤i≤d|αi|.An algebraic integer is reciprocal if its minimal polynomial is reciprocal. Letαbe a reciprocal algebraic integer, deg(α) = 2d andP=b0x2d+b1x2d-1+…+b2d-1x+b2d=Multiply from i=1 to 2d(x-αi)is its minimal polynomial, where b0=b2d=1?bi=b2d-i.We define s1=sum from i=1 to 2dαi,sk=sum from i=1 to 2dαik.For the smallest houses of reciprocal algebraic integers, Boyd[l] computed the smallest houses of reciprocal algebraic integers for d≤16. He used the following method: for a fixed degree d and given B, there exists algebraic integerαsuch that (?)≤B,where deg(α) = d. Obviously,|sk|≤dBk if (?)≤B. Then he used these bounds and Newton's formula:sk+sk-1b1+…+s1bk-1+kbk=0which gives by induction bounds for the coefficients bk for 1≤k≤d to get a large set Fd of reciprocal polynomials where we find the smallest house. We follow Boyd's strategy, but the computing time grows exponentially with degree d. In this paper, we give new better bounds for sk using a large family of explicit auxiliary functions with the following type:f(z)=-Re(z)-sum from j=1 to J ej log|Qj(z)|.This method has been used in [10]. With this method, we compute the smallest houses of reciprocal algebraic integers for 2≤d≤26[19].
Keywords/Search Tags:reciprocal polynomial, maximal modulus of algebraic integer, LLL algorithm, auxiliary function, semi-infinite linear programming
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