PROVED
This has been solved in the affirmative.
Show that, for any $n\geq 5$, the binomial coefficient $\binom{2n}{n}$ is not squarefree.
It is easy to see that $4\mid \binom{2n}{n}$ except when $n=2^k$, and hence it suffices to prove this when $n$ is a power of $2$.
Proved by Sárközy
[Sa85] for all sufficiently large $n$, and independently by Granville and Ramaré
[GrRa96] and Velammal
[Ve95] for all $n\geq 5$.
More generally, if $f(n)$ is the largest integer such that, for some prime $p$, we have $p^{f(n)}$ dividing $\binom{2n}{n}$, then $f(n)$ should tend to infinity with $n$. Can one even disprove that $f(n)\gg \log n$?
Sander
[Sa92] proved that $f(n)\to \infty$, and later
[Sa95] quantified this to $f(n) \gg (\log n)^{1/10-o(1)}$. Sander
[Sa95] also proved that $f(n)\ll \log n$ for all $n$, and that $f(n) \gg \log n$ for almost all $n$. The proofs of the latter two facts are very easy using
Kummer's theorem -- indeed, this immediately implies that any $p$ divides $\binom{2n}{n}$ with multiplicity $\ll \log_p n$, and that the multiplicity with which $2$ divides $\binom{2n}{n}$ is equal to the number of $1$s in the binary expansion of $n$, which is $\gg \log n$ for almost all $n$.
Erdős and Kolesnik
[ErKo99] improved the lower bound for all $n$ to\[f(n) \gg (\log n)^{1/4-o(1)}.\]It remains open whether $f(n) \gg \log n$ for all $n$.
Sander
[Sa92b] proved that, for all $0<\epsilon<1$, if $n$ is sufficiently large and $\lvert d\rvert\leq n^{1-\epsilon}$ then $\binom{2n+d}{n}$ is not squarefree.
The largest $n$ known for which $\binom{2n}{n}$ is not divisible by the square of an odd prime is $n=786$ (found by Levine). Guy
[Gu04] reports that Erdős 'feels sure that there are no larger such $n$'.
See also
[379].
This is mentioned in problem B33 of Guy's collection
[Gu04].
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This page was last edited 08 February 2026.
Additional thanks to: Boris Alexeev, Alfaiz, Hung Bui, and Desmond Weisenberg
When referring to this problem, please use the original sources of Erdős. If you wish to acknowledge this website, the recommended citation format is:
T. F. Bloom, Erdős Problem #175, https://www.erdosproblems.com/175, accessed 2026-02-12