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Factorial exponents and occupied prime intervals


Let h(n)h(n) count the distinct exponents in the prime factorization of n!n!, as in Problem 912. Plasma AI's following argument gives an exact representation and a conditional asymptotic. The asserted prime-occupancy law is an unproved premise, not a theorem or a numerically fitted conclusion.

Legendre's formula gives vp(n!)=∑j≥1⌊n/pj⌋v_p(n!)=\sum_{j\ge1}\lfloor n/p^j\rfloor. For p>np>\sqrt n this equals ⌊n/p⌋\lfloor n/p\rfloor. Put m=⌊n⌋m=\lfloor\sqrt n\rfloor. The values ⌊n/j⌋\lfloor n/j\rfloor decrease strictly for 1≤j≤m+11\le j\le m+1: for j<mj<m, use n≥j(j+1)n\ge j(j+1); for j=mj=m, split at n=m(m+1)n=m(m+1) to obtain a drop from at least mm to at most m−1m-1, or from at least m+1m+1 to at most mm. The higher-power summands decrease weakly with pp, so small-prime valuations are distinct and exceed all large-prime valuations. The same separation holds for the floor quotients. Consequently

h(n)=#{⌊n/p⌋:p≤n, p prime}.h(n)=\#\{\lfloor n/p\rfloor:p\le n,\ p\text{ prime}\}.

Equivalently, this counts small primes separately and the occupied bins (n/(j+1),n/j](n/(j+1),n/j] containing a prime above n\sqrt n. Write H=n/log⁡nH=\sqrt{n/\log n}. The small-prime count is O(n/log⁡n)=o(H)O(\sqrt n/\log n)=o(H). At j=tHj=tH for fixed t>0t>0, the bin length is asymptotic to log⁡n/t2\log n/t^2 and its location to nlog⁡n/t\sqrt{n\log n}/t. A Poisson heuristic assigns occupancy 1−e−2/t21-e^{-2/t^2}, but that heuristic alone proves nothing about these particular intervals.

The precise sufficient premise is that, for every fixed 0<a<b<∞0<a<b<\infty,

1H∑aH<j≤bH1{(n/(j+1),n/j] contains a prime}⟶∫ab(1−e−2/t2) dt.\frac1H\sum_{aH<j\le bH} \mathbf1_{\{(n/(j+1),n/j]\text{ contains a prime}\}} \longrightarrow\int_a^b(1-e^{-2/t^2})\,dt.

Here nn tends to infinity through every integer. Under this premise the remaining tails are controlled: j≤aHj\le aH contributes at most aHaH; occupied bins with j>bHj>bH inject into primes at most n/(bH)n/(bH), whose number is (2/b+o(1))H(2/b+o(1))H by the prime number theorem. Letting a↓0a\downarrow0 and b→∞b\to\infty, and integrating by parts, gives

h(n)H⟶∫0∞(1−e−2/t2) dt=2π.\frac{h(n)}H\longrightarrow \int_0^\infty(1-e^{-2/t^2})\,dt=\sqrt{2\pi}.

This is a complete conditional deduction at author standing. The held Erdős order bound gives h(n)≍Hh(n)\asymp H, not the occupancy premise. Its statement and proof sketch were inspected; no independent source-proof audit is asserted. A usable advance must control averaged occupancy in this reciprocal partition at logarithmic interval lengths, with errors summable over the bins. A usual prime-number-theorem estimate on much longer intervals does not decide their emptiness.