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IMC / 2015 / Problems / Day 2, P10

IMC 2015 · Day 2 · P10

killer

Let nn be a positive integer, and let p(x)p(x) be a polynomial of degree nn with integer coefficients. Prove that max⁡0≤x≤1∣p(x)∣>1en.\max_{0 \le x \le 1} \bigl| p(x) \bigr| > \frac{1}{e^n}. (Proposed by Géza Kós, Eötvös University, Budapest)

Solution (official)

Let M=max⁡0≤x≤1∣p(x)∣.M = \max_{0 \le x \le 1} \bigl| p(x) \bigr|. For every positive integer kk, let Jk=∫01(p(x))2kdx.J_k = \int_0^1 \bigl( p(x) \bigr)^{2k} dx. Obviously 0<Jk<M2k0 < J_k < M^{2k} is a rational number. If (p(x))2k=∑i=02knak,ixi(p(x))^{2k} = \sum\limits_{i=0}^{2kn} a_{k,i} x^i then Jk=∑i=02knak,ii+1J_k = \sum\limits_{i=0}^{2kn} \frac{a_{k,i}}{i+1}. Taking the least common denominator, we can see that Jk≥1lcm⁡(1,2,…,2kn+1)J_k \ge \dfrac{1}{\operatorname{lcm}(1, 2, \dots, 2kn+1)}.

An equivalent form of the prime number theorem is that log⁡lcm⁡(1,2,…,N)∼N\log \operatorname{lcm}(1, 2, \dots, N) \sim N if N→∞N \to \infty. Therefore, for every ε>0\varepsilon > 0 and sufficiently large kk we have lcm⁡(1,2,…,2kn+1)<e(1+ε)(2kn+1)\operatorname{lcm}(1, 2, \dots, 2kn+1) < e^{(1+\varepsilon)(2kn+1)} and therefore M2k>Jk≥1lcm⁡(1,2,…,2kn+1)>1e(1+ε)(2kn+1),M>1e(1+ε)(n+12k).\begin{gather*} M^{2k} > J_k \ge \frac{1}{\operatorname{lcm}(1, 2, \dots, 2kn+1)} > \frac{1}{e^{(1+\varepsilon)(2kn+1)}}, \\ M > \frac{1}{e^{(1+\varepsilon)\left(n + \frac{1}{2k}\right)}}. \end{gather*} Taking k→∞k \to \infty and then ε→+0\varepsilon \to +0 we get M≥1en.M \ge \frac{1}{e^n}. Since ee is transcendent, equality is impossible.

Remark. The constant 1e≈0.3679\frac{1}{e} \approx 0.3679 is not sharp. It is known that the best constant is between 0.42130.4213 and 0.42320.4232. (See I. E. Pritsker, The Gelfond–Schnirelman method in prime number theory, Canad. J. Math. 57 (2005), 1080–1101.)

How the field did

contestants scored
318
average (of 10)
0.07
solved (≥ 80%)
0.0%
near-0 (≤ 10%)
97.8%
discrimination
0.26

Score distribution (field cohort)

Computed on contestants with a meaningful total (field cohort); discrimination is the corrected item–total correlation.

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