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IMC / 2023 / Problems / Day 2, P10

IMC 2023 · Day 2 · P10

killer

For every positive integer nn, let f(n)f(n), g(n)g(n) be the minimal positive integers such that 1+11!+12!++1n!=f(n)g(n).1 + \frac{1}{1!} + \frac{1}{2!} + \dots + \frac{1}{n!} = \frac{f(n)}{g(n)}. Determine whether there exists a positive integer nn for which g(n)>n0.999ng(n) > n^{0.999 n}.

(proposed by Fedor Petrov, St. Petersburg State University)

Solution (official)

We show that there does exist such a number nn.

Let ε=1010\varepsilon = 10^{-10}. Call a prime pp special, if for certain k{1,2,,p1}k \in \{1, 2, \dots, p-1\} there exist at least εk\varepsilon \cdot k positive integers jkj \le k for which pp divides f(j)f(j).

Lemma. There exist only finitely many special primes.

Proof. Let pp be a special prime number, and pp divides f(j)f(j) for at least εk\varepsilon \cdot k values of j{1,2,,k}j \in \{1, 2, \dots, k\}. Note that if pp divides f(j)f(j) and f(j+r)f(j + r), then pp divides (j+r)!(f(j+r)g(j+r)f(j)g(j))=1+(j+r)+(j+r)(j+r1)++(j+r)(j+2)(j + r)! \left( \frac{f(j+r)}{g(j+r)} - \frac{f(j)}{g(j)} \right) = 1 + (j + r) + (j + r)(j + r - 1) + \dots + (j + r) \dots (j + 2) that is a polynomial of degree r1r - 1 with respect to jj. Thus, for fixed jj it equals to 0 modulo pp for at most r1r - 1 values of jj. Look at our εk\ge \varepsilon \cdot k values of j{1,2,,k}j \in \{1, 2, \dots, k\} and consider the gaps between consecutive jj's. The number of such gaps which are greater than 2/ε2/\varepsilon does not exceed εk/2\varepsilon \cdot k / 2 (since the total sum of gaps is less than kk). Therefore, at least εk/21\varepsilon \cdot k / 2 - 1 gaps are at most 2/ε2/\varepsilon. But the number of such small gaps is bounded from above by a constant (not depending on kk) by the above observation. Therefore, kk is bounded, and, since pp divides f(1)f(2)f(k)f(1) f(2) \dots f(k), pp is bounded too.

Now we want to bound the product g(1)g(2)g(n)g(1) g(2) \dots g(n) (for a large integer nn) from below. Let pnp \le n be a non-special prime. Our nearest goal is to prove that νp(g(1)g(2)g(n))(1ε)νp(1!2!n!)(1)\tag{1} \nu_p \bigl( g(1) g(2) \dots g(n) \bigr) \ge (1 - \varepsilon) \nu_p (1! \cdot 2! \cdot \dots \cdot n!) Partition the numbers p,p+1,,np, p+1, \dots, n onto the intervals of length pp (except possibly the last interval which may be shorter): {p,p+1,,2p1}\{p, p+1, \dots, 2p-1\}, …, {pn/p,,n}\{p \lfloor n/p \rfloor, \dots, n\}. Note that in every interval Δ=[ap,ap+k]\Delta = [a \cdot p, a \cdot p + k], all factorials x!x! with xΔx \in \Delta have the same pp-adic valuation, denote it T=νp((ap)!)T = \nu_p \bigl( (ap)! \bigr). We claim that at least (1ε)(k+1)(1 - \varepsilon)(k + 1) valuations of g(x)g(x), xΔx \in \Delta, are equal to the same number TT. Indeed, if j=0j = 0 or 1jk1 \le j \le k and f(j)f(j) is not divisible by pp, then 1(ap)!+1(ap+1)!++1(ap+j)!=1(ap)!AB\frac{1}{(ap)!} + \frac{1}{(ap+1)!} + \dots + \frac{1}{(ap+j)!} = \frac{1}{(ap)!} \cdot \frac{A}{B} where Af(j)(modp)A \equiv f(j) \pmod p, Bg(j)(modp)B \equiv g(j) \pmod p, so, this sum has the same pp-adic valuation as 1/(ap)!1/(ap)!, which is strictly less than that of the sum i=0ap11/i!\sum_{i=0}^{ap-1} 1/i!, that yields νp(g(ap+j))=νp((ap)!)\nu_p \bigl( g(ap + j) \bigr) = \nu_p \bigl( (ap)! \bigr). Using this for every segment Δ\Delta, we get (1).

Now, using (1) for all non-special primes, we get Ag(1)g(2)g(n)(1!2!n!)1ε,A \cdot g(1) g(2) \dots g(n) \ge (1! \cdot 2! \cdot \dots \cdot n!)^{1 - \varepsilon}, where A=p,kpνp(g(k))A = \prod_{p,k} p^{\nu_p(g(k))}, pp runs over non-special

primes, kk from 1 to nn. Since νp(g(k))νp(k!)=i=1k/pik\nu_p(g(k)) \le \nu_p(k!) = \sum_{i=1}^{\infty} \lfloor k / p^i \rfloor \le k, we get A(pp)1+2++nCn2A \le \Bigl( \prod_p p \Bigr)^{1 + 2 + \dots + n} \le C^{n^2} for some constant CC. But if we had g(n)n0.999nenn!0.999g(n) \le n^{0.999 n} \le e^n n!^{0.999} for all nn, then log(Ag(1)g(2)g(n))O(n2)+0.999log(1!2!n!)<(1ε)log(1!2!n!)\log \bigl( A \cdot g(1) g(2) \dots g(n) \bigr) \le O(n^2) + 0.999 \log (1! \cdot 2! \cdot \dots \cdot n!) < (1 - \varepsilon) \log (1! \cdot 2! \cdot \dots \cdot n!) for large nn, a contradiction.

How the field did

contestants scored
377
average (of 10)
0.16
solved (≥ 80%)
1.1%
near-0 (≤ 10%)
98.1%
discrimination
0.24

Score distribution (field cohort)

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

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