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I'm working on a problem in multiplicative ergodic theory, and Mahler measure has just made another appearance. I am looking for a uniform lower bound on Mahler measure over all polynomials of fixed degree with complex coefficients (not necessarily monic) where the largest coefficient is of absolute value 1.

I found an ugly bound that is exponential in the degree, but am hoping for something in the literature or something a bit prettier.

Can anyone give me a reference (or simple argument) for a lower bound for Mahler measure of degree $d$ polynomials (not necessarily monic) in a single variable (with complex coefficients) where the largest coefficient is of absolute value 1?
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I'm not sure I understand your question. $M(f)\ge1$ for all $f$, and if you take $f(x)=x^d+x^{d-1}+\cdots+1$, them $M(f)=1$, since $f$ is a product of cyclotomic polynomials. So you can't improve on the lower bound of $1$. If you want to exclude polynomials containing cyclotomic factors, then it's not clear that assuming the largest coefficient has absolute value $1$ will help you. For polynomials with integer coefficients, there is a bound of the form $M(f) \ge C (\log d)/(\log\log d)^{-3}$ due to Dobrowolski, but you probably already know that. OTOH, if you're really going to allow arbitrary complex coefficients, then I'm surprised you can get a bound even for non-cyclotomics.

ADDENDUM for non-monic polynomials

Let $|f|$ denote the magnitude of the largest coefficient of $f\in\mathbb C[x]$. There's a non-trivial upper bound for the Mahler measure $$ M(f) \le |f|\cdot (\deg f + 1)^{1/2}, $$ see for example Fundamentals of Diophantine Geometry, Serge Lang, Springer, Chapter 3, Theorem 2.8. (I realize you're asking for a lower bound.) The lower bound provided by the same theorem decays exponentially, $$ M(f) \ge 2^{-\deg f}|f|. $$ It's not clear you can do too much better than that. For example, $$f(x) = \frac{(x+1)^{2d}}{\binom{2d}{d}}$$ has largest coefficient $1$ and, since $M((x+1)^d)=M(x+1)^d=1$, it has Mahler measure $$ M(f) = \frac{1}{\binom{2d}{d}} \asymp \frac{\sqrt{d}}{4^d} \asymp \frac{\sqrt{\deg f}}{2^{\deg f}}.$$ In any case, you can't hope for better than an exponential lower bound.

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  • $\begingroup$ Thanks! My polynomials are not monic, so for me $M(f)=\exp\int_0^1 \log|f(e^{2\pi i\theta})|\,d\theta$. In general there's no reason for this to be at least 1. I'm editing my original post to emphasize the fact that I'm not restricting to monic polynomials. $\endgroup$ Commented Jun 14, 2016 at 22:23
  • $\begingroup$ @AnthonyQuas Sorry. I added some material for non-monic polynomials. But as indicated, I don't think you can do better than exponential decay. $\endgroup$ Commented Jun 15, 2016 at 1:24
  • $\begingroup$ Thanks. That's great! Actually in my case the exponential bound is not bad, as I'm taking a limit as something else goes to infinity, but the $d$ stays constant. The reference is good because it means I don't have to put the gory details in the paper. $\endgroup$ Commented Jun 15, 2016 at 1:35

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