The variance asymptotic conjecture for squarefull numbers in short intervals

From papers

Let Q(t)Q(t) denote the number of squarefull numbers at most tt. Given ϵ>0\epsilon > 0, X>1X > 1 and H<X1/2ϵH < X^{1/2 - \epsilon}, set

y=2xH+H2.y = 2\sqrt{x}H+H^2.

Variance asymptotic conjecture. The variance of the count of squarefull numbers in these intervals satisfies

1XX2XQ(x+y)Q(x)ζ(3/2)ζ(3)H2dxζ(4/3)ζ(2)0(sinπyπy)2y1/3dyH2/3.\frac{1}{X} \int_{X}^{2 X} \Big|Q(x + y) - Q(x) - \frac{\zeta(3/2)}{\zeta(3)} H \Big|^2 dx \sim \frac{\zeta(4/3)}{\zeta(2)} \int_{0}^{\infty} \Bigl(\frac{\sin \pi y}{\pi y}\Bigr)^2 y^{1/3} dy \cdot H^{2/3}.

This conjecture predicts the true order and leading constant for the variance, improving substantially on the paper's upper bound. The stated range is that of the conjecture; the source gives no resolution, so it remains open.

Progress summary

Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.

Sources & referencesView supporting material

Primary source

Tsz Ho Chan, “Variance of Squarefull Numbers in Short Intervals”, arXiv:2205.12108 (2023).

Solutions 0

No solutions have been posted yet.