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IMC / 2014 / Problems / Day 1, P3

IMC 2014 · Day 1 · P3

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Let nn be a positive integer. Show that there are positive real numbers a0,a1,,ana_0, a_1, \dots, a_n such that for each choice of signs the polynomial ±anxn±an1xn1±±a1x±a0\pm a_n x^n \pm a_{n-1} x^{n-1} \pm \dots \pm a_1 x \pm a_0 has nn distinct real roots.

(Proposed by Stephan Neupert, TUM, München)

Solution (official)

We proceed by induction on nn. The statement is trivial for n=1n = 1. Thus assume that we have some a0,,ana_0, \dots, a_n which satisfy the conditions for some nn. Consider now the polynomials P~(x)=±anxn+1±an1xn±±a1x2±a0x\tilde{P}(x) = \pm a_n x^{n+1} \pm a_{n-1} x^n \pm \dots \pm a_1 x^2 \pm a_0 x By induction hypothesis and a00a_0 \ne 0, each of these polynomials has n+1n + 1 distinct zeros, including the nonzero roots of ±anxn±an1xn1±±a1x±a0\pm a_n x^n \pm a_{n-1} x^{n-1} \pm \dots \pm a_1 x \pm a_0 and 00. In particular none of the polynomials has a root which is a local extremum. Hence we can choose some ε>0\varepsilon > 0 such that for each such polynomial P~(x)\tilde{P}(x) and each ss of its local extrema we have P~(s)>ε|\tilde{P}(s)| > \varepsilon. We claim that then each of the polynomials P(x)=±anxn+1±an1xn±±a1x2±a0x±εP(x) = \pm a_n x^{n+1} \pm a_{n-1} x^n \pm \dots \pm a_1 x^2 \pm a_0 x \pm \varepsilon has exactly n+1n + 1 distinct zeros as well. As P~(x)\tilde{P}(x) has n+1n + 1 distinct zeros, it admits a local extremum at nn points. Call these local extrema =s0<s1<s2<<sn<sn+1=-\infty = s_0 < s_1 < s_2 < \dots < s_n < s_{n+1} = \infty. Then for each i{0,1,,n}i \in \{0, 1, \dots, n\} the values P~(si)\tilde{P}(s_i) and P~(si+1)\tilde{P}(s_{i+1}) have opposite signs (with the obvious convention at infinity). By choice of ε\varepsilon the same holds true for P(si)P(s_i) and P(si+1)P(s_{i+1}). Hence there is at least one real zero of P(x)P(x) in each interval (si,si+1)(s_i, s_{i+1}), i.e. P(x)P(x) has at least (and therefore exactly) n+1n + 1 zeros. This shows that we have found a set of positive reals an+1=an,an=an1,,a1=a0,a0=εa'_{n+1} = a_n, a'_n = a_{n-1}, \dots, a'_1 = a_0, a'_0 = \varepsilon with the desired properties.

How the field did

contestants scored
320
average (of 10)
4.17
solved (≥ 80%)
39.7%
near-0 (≤ 10%)
54.4%
discrimination
0.53

Score distribution (field cohort)

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

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