scholarly journals An elementary inequality about the Mahler measure

2013 ◽  
Vol 6 (4) ◽  
pp. 393-397 ◽  
Author(s):  
Konstantin Stulov ◽  
Rongwei Yang
2014 ◽  
Vol 90 (3) ◽  
pp. 391-403
Author(s):  
V. FLAMMANG

AbstractLet $\def \xmlpi #1{}\def \mathsfbi #1{\boldsymbol {\mathsf {#1}}}\let \le =\leqslant \let \leq =\leqslant \let \ge =\geqslant \let \geq =\geqslant \def \Pr {\mathit {Pr}}\def \Fr {\mathit {Fr}}\def \Rey {\mathit {Re}}P(x)$ be a polynomial of degree $d$ with zeros $\alpha _1, \ldots, \alpha _d$. Stulov and Yang [‘An elementary inequality about the Mahler measure’, Involve6(4) (2013), 393–397] defined the total distance of$P$ as ${\rm td}(P)=\sum _{i=1}^{d} | | \alpha _i| -1|$. In this paper, using the method of explicit auxiliary functions, we study the spectrum of the total distance for totally positive algebraic integers and find its five smallest points. Moreover, for totally positive algebraic integers, we establish inequalities comparing the total distance with two standard measures and also the trace. We give numerical examples to show that our bounds are quite good. The polynomials involved in the auxiliary functions are found by a recursive algorithm.


2015 ◽  
Vol 197 ◽  
pp. 49-61 ◽  
Author(s):  
Stephen Choi ◽  
Tamás Erdélyi
Keyword(s):  

2018 ◽  
Vol 98 (1) ◽  
pp. 70-76
Author(s):  
J. C. SAUNDERS
Keyword(s):  

We give a lower bound of the Mahler measure on a set of polynomials that are ‘almost’ reciprocal. Here ‘almost’ reciprocal means that the outermost coefficients of each polynomial mirror each other in proportion, while this pattern may break down for the innermost coefficients.


1979 ◽  
Vol 2 (3) ◽  
pp. 531-535 ◽  
Author(s):  
Seymour Haber

An elementary inequality is proved in this note.


2012 ◽  
Vol 132 (1) ◽  
pp. 275-300 ◽  
Author(s):  
Paul Fili ◽  
Zachary Miner
Keyword(s):  

2000 ◽  
Vol 62 (2) ◽  
pp. 640-640
Author(s):  
Graham Everest ◽  
Chris Pinner
Keyword(s):  

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