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IMC / 2014 / Problems / Day 1, P2

IMC 2014 · Day 1 · P2

easy

Consider the following sequence (an)n=1=(1,1,2,1,2,3,1,2,3,4,1,2,3,4,5,1,).(a_n)_{n=1}^{\infty} = (1, 1, 2, 1, 2, 3, 1, 2, 3, 4, 1, 2, 3, 4, 5, 1, \dots). Find all pairs (α,β)(\alpha, \beta) of positive real numbers such that limnk=1naknα=β\displaystyle\lim_{n \to \infty} \frac{\sum\limits_{k=1}^{n} a_k}{n^\alpha} = \beta.

(Proposed by Tomas Barta, Charles University, Prague)

Solution (official)

Let Nn=(n+12)N_n = \binom{n+1}{2} (then aNna_{N_n} is the first appearance of number nn in the sequence) and consider limit of the subsequence bNn:=k=1NnakNnα=k=1n(1++k)(n+12)α=k=1n(k+12)(n+12)α=(n+23)(n+12)α=16n3(1+2/n)(1+1/n)(1/2)αn2α(1+1/n)α.b_{N_n} := \frac{\sum_{k=1}^{N_n} a_k}{N_n^\alpha} = \frac{\sum_{k=1}^{n} (1 + \dots + k)}{\binom{n+1}{2}^\alpha} = \frac{\sum_{k=1}^{n} \binom{k+1}{2}}{\binom{n+1}{2}^\alpha} = \frac{\binom{n+2}{3}}{\binom{n+1}{2}^\alpha} = \frac{\frac{1}{6} n^3 (1 + 2/n)(1 + 1/n)} {(1/2)^\alpha n^{2\alpha} (1 + 1/n)^\alpha}. We can see that limnbNn\lim_{n \to \infty} b_{N_n} is positive and finite if and only if α=3/2\alpha = 3/2. In this case the limit is equal to β=23\beta = \frac{\sqrt{2}}{3}. So, this pair (α,β)=(32,23)(\alpha, \beta) = (\frac{3}{2}, \frac{\sqrt{2}}{3}) is the only candidate for solution.

We will show convergence of the original sequence for these values of α\alpha and β\beta. Let NN be a positive integer in [Nn+1,Nn+1][N_n + 1, N_{n+1}], i.e., N=Nn+mN = N_n + m for some 1mn+11 \le m \le n + 1. Then we have bN=(n+23)+(m+12)((n+12)+m)3/2b_N = \frac{\binom{n+2}{3} + \binom{m+1}{2}} {\left( \binom{n+1}{2} + m \right)^{3/2}} which can be estimated by (n+23)((n+12)+n)3/2bN(n+23)+(n+12)(n+12)3/2.\frac{\binom{n+2}{3}}{\left( \binom{n+1}{2} + n \right)^{3/2}} \le b_N \le \frac{\binom{n+2}{3} + \binom{n+1}{2}}{\binom{n+1}{2}^{3/2}}. Since both bounds converge to 23\frac{\sqrt{2}}{3}, the sequence bNb_N has the same limit and we are done.

How the field did

contestants scored
320
average (of 10)
6.99
solved (≥ 80%)
55.0%
near-0 (≤ 10%)
12.5%
discrimination
0.63

Score distribution (field cohort)

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

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