Papers
Topics
Authors
Recent
Search
2000 character limit reached

On a Class of Sums with Unexpectedly High Cancellation, and its Applications

Published 27 Sep 2019 in math.NT and math.CO | (1909.12470v3)

Abstract: Following attempts at an analytic proof of the Pentagonal Number Theorem, we report on the discovery of a general principle leading to an unexpected cancellation of oscillating sums. After stating the motivation, and our theorem, we apply it to prove several results on the Prouhet-Tarry-Escott Problem, integer partitions, and the distribution of prime numbers. Regarding the Prouhet-Tarry-Escott problem, we show that \begin{align*} \sum_{|\ell|\leq x}(4x2-4\ell2){2r}-\sum_{|\ell|<x}(4x2-(2\ell+1)2){2r}=\text{polynomial w.r.t. } x \text{ with degree }2r-1. \end{align*} This can perhaps be proved using properties of Bernoulli polynomials, but the claim fell out of our method in a more natural and motivated way. Using this result, we solve an approximate version of the PTE Problem, and in doing so our work in the approximate case exceeds the bounds one can prove using a pigeonhole argument, which seems remarkable. Also, we prove that $$ \sum_{\ell2 < n} (-1)\ell p(n-\ell2)\ \sim\ (-1)n 2{-3/4} n{-1/4} \sqrt{p(n)}, $$ where $p(n)$ is the usual partition function. We get the following "Weak pentagonal number theorem", in which we can replace the partition function $p(n)$ with Chebyshev $\Psi$ function: $$ \sum_{0 < \ell < \sqrt{xT}/2} \Psi([e{\sqrt{x - \frac{(2\ell)2}{T}}},\ e{\sqrt{x - \frac{(2\ell-1)2}{T}}}])\ =\Psi(e{\sqrt{x}})\left(\frac{1}{2} + O\left (e{-0.196\sqrt{x}}\right)\right), $$ where $T=e{0.786\sqrt{x}}$, where $\Psi([a,b]) := \sum_{n\in [a,b]} \Lambda(n)$ and $\Psi(x) = \Psi([1,x])$, where $\Lambda$ is the von Mangoldt function. Note that this last equation (sum over $\ell$) is stronger than one would get using a strong form of the Prime Number Theorem and also a naive use of the Riemann Hypothesis in each interval, since the widths of the intervals are smaller than $e{\frac{1}{2} \sqrt{x}}$, making the RH estimate ``trivial".

Summary

Paper to Video (Beta)

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (2)

Collections

Sign up for free to add this paper to one or more collections.