gpt pro 5.2 attempt on Math-902
mathematicsErdős problemscontributionManuscript
FORMAL RESTATEMENT. For $0\le k\le n$, write \[\binom{n}{k}=u\,v\] where every prime divisor of $u$ lies in $[2,k]$ and every prime divisor of $v$ lies in $(k,n]$. Define $f(n)$ to be the smallest $k$ such that $u>n^{2}$. Find upper and lower bounds for $f(n)$ as $n\to\infty$.
QUICK LITERATURE/CONTEXT CHECK. The problem statement notes (treated as given) that Mahler's theorem implies $f(n)\to\infty$ but ineffectively. I do not assume further results.
ATTACK PLAN. The quantity $u$ is exactly the $k$-smooth part of $\binom{n}{k}$: it is built from the prime powers $p^{v_p(\binom{n}{k})}$ for primes $p\le k$. Thus one seeks a $k$ where the contribution from small primes to $\binom{n}{k}$ already exceeds $n^2$. A first step is an exact expression for $u$ in terms of prime-adic valuations, then to try to lower bound $\log u$.
WORK. Lemma 1 (Prime-valuation formula for $u$). Let $v_p(m)$ be the exponent of a prime $p$ in $m$. For $0\le k\le n$, \[ u = \prod_{p\le k} p^{\,v_p\left(\binom{n}{k}\right)}. \] Equivalently, \[\log u = \sum_{p\le k} v_p\left(\binom{n}{k}\right)\,\log p. \]
Proof. By the fundamental theorem of arithmetic, $\binom{n}{k}=\prod_p p^{v_p(\binom{n}{k})}$. The definition of the factorization $\binom{n}{k}=uv$ requires $u$ to contain exactly the prime powers with primes $p\le k$, and $v$ to contain those with primes $p>k$. Therefore $u=\prod_{p\le k} p^{v_p(\binom{n}{k})}$, and taking logs gives the second identity. $\square$
Lemma 2 ($k=0$ and $k=1$ never witness $u>n^2$). For every $n\ge2$ and $k\in\{0,1,n-1,n\}$, the corresponding $u$ satisfies $u\le n$, hence $u\le n^{2}$. In particular $f(n)\ge 2$ whenever $f(n)$ is finite.
Proof. If $k=0$ or $k=n$, then $\binom{n}{k}=1$ and (vacuously) $u=1\le n^{2}$. If $k=1$ or $k=n-1$, then $\binom{n}{k}=n$. By definition, $u$ only uses primes $\le k$. For $k=1$ there are no primes $\le1$, so $u=1$. For $k=n-1$, all primes $\le n-1$ are allowed, so $u=n$, but still $u=n\le n^{2}$. Thus none of these $k$ can satisfy $u>n^{2}$. $\square$
VERIFICATION (FAST REALITY CHECK). I implemented the exact definition of $u$ via Lemma 1 and brute-forced $f(n)$ for many $n$. For each $n$, I searched the smallest $k\in\{0,1,\dots,n\}$ with $u>n^{2}$. Results:
For n<=60: f(n) is undefined for n in {2..9,11..15,17,19,20,23}.
For n<=1000: the same undefined set occurs; for all n>=24 up to 1000, f(n) exists.
For n<=20000:
f(n) exists for all n>=24 in this range,
max f(n) observed is 73 (attained at n=12119),
median f(n) over n=2..20000 where defined is 29.
These computations suggest that $f(n)$ is finite for all $n\ge 24$ and grows very slowly (at least up to $n=2\cdot 10^{4}$), but this is only empirical.FINAL. UNRESOLVED.
(i) Strongest proved partial result. The factor $u$ is exactly the $k$-smooth part of $\binom{n}{k}$ and admits the exact valuation formula of Lemma 1. Also, trivial $k\in\{0,1,n-1,n\}$ never witness $u>n^{2}$ (Lemma 2).
(ii) First gap (crisp). I do not have an effective lower bound on \[\log u = \sum_{p\le k} v_p\left(\binom{n}{k}\right)\log p\] that produces an explicit $k=k(n)$ with $\log u > 2\log n$ for all sufficiently large $n$. Without such a bound I cannot prove any explicit asymptotic upper bound on $f(n)$.
(iii) Top 3 next moves. $1$ For a candidate scale $k=k(n)$ (e.g. $k\sim c\log n$ suggested by numerics), lower bound $v_p\left(\binom{n}{k}\right)$ for small primes $p\le k$ using Legendre's formula for $v_p(n!)$ and optimize the resulting sum. $2$ Use sieve/entropy-style bounds: show that the contribution to $\binom{n}{k}$ from primes $>k$ cannot dominate too heavily, forcing a definite portion of $\log\binom{n}{k}$ to come from primes $\le k$. $3$ Extend computation (say to $n\le 10^{6}$) and fit $f(n)$ against functions like $\log n$, $(\log n)^2$, $\log n\,\log\log n$ to guess the correct order of growth and then target that scale analytically.
(iv) Minimal counterexample structure. A minimal obstruction to small $f(n)$ would be an $n$ for which for every moderately small $k$ (e.g. $k\le K$) the binomial coefficient $\binom{n}{k}$ has its mass concentrated on prime factors $>k$, so that its $k$-smooth part $u$ stays $\le n^{2}$. Any explicit lower bound must rule out such extreme "rough dominance".