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On $|{\rm Li}(x)-π(x)|$ and primes in short intervals

Shan-Guang Tan

TL;DR

The paper proves that $\\pi(x)=\\mathrm{Li}(x)+O(\\sqrt{x}\log x)$ by introducing x-dependent truncations $\\pi^{*}(x,N)$ to approximate both $\\mathrm{Li}(x)$ and $\\pi(x)$, and showing successive truncation steps have gaps bounded by $x^{1/64}$. It then derives a prime-number theorem in short intervals: for $\\Phi(x)=\\beta x^{1/2}$ (with a specific cutoff $x_{\\beta}$), we have $\\frac{\\pi(x+\\Phi(x))-\\pi(x)}{\\Phi(x)/\\log x}=1+O(1/\\log x)$ and the limit equals 1. The core technique is making the truncation level depend on $x$ and analyzing discriminants via $\\alpha_{L,M}$ and $\\rho_{L}(x,M)$ to tightly bound error terms. This yields a unified framework for both global prime distribution (through Li–pi closeness) and primes in short intervals without assuming the Riemann Hypothesis. Overall, the work provides quantitative, region-wise control of prime counts and sharp asymptotics for primes in short ranges.

Abstract

Two topics of the number theory are discussed in this paper. First, we prove that given each natural number $x\geq10^{3}$, we have \[ |{\rm Li}(x)-π(x)|\leq c\sqrt{x}\log x\texttt{ and } π(x)={\rm Li}(x)+O(\sqrt{x}\log x) \] where $c$ is a constant greater than $1$ and less than $e$. Second, with a much more accurate estimation of prime numbers, the error range of which is less than $x^{1/2-0.0327283}$ for $x\geq10^{41}$, we prove a theorem of the number of primes in short intervals: Given a positive real number $β$ that determines a real number $x_β$ by $e(\log x_β)^{3}/x_β^{0.0327283}=β$, let $Φ(x):=βx^{1/2}$ for $x\geq x_β$ where $Φ(x):=x^{1/2}$ when let $β=1$. Then there are \[ \frac{π(x+Φ(x))-π(x)}{Φ(x)/\log x}=1+O(\frac{1}{\log x}) \] and \[ \lim_{x \to \infty}\frac{π(x+Φ(x))-π(x)}{Φ(x)/\log x}=1. \]

On $|{\rm Li}(x)-π(x)|$ and primes in short intervals

TL;DR

The paper proves that by introducing x-dependent truncations to approximate both and , and showing successive truncation steps have gaps bounded by . It then derives a prime-number theorem in short intervals: for (with a specific cutoff ), we have and the limit equals 1. The core technique is making the truncation level depend on and analyzing discriminants via and to tightly bound error terms. This yields a unified framework for both global prime distribution (through Li–pi closeness) and primes in short intervals without assuming the Riemann Hypothesis. Overall, the work provides quantitative, region-wise control of prime counts and sharp asymptotics for primes in short ranges.

Abstract

Two topics of the number theory are discussed in this paper. First, we prove that given each natural number , we have where is a constant greater than and less than . Second, with a much more accurate estimation of prime numbers, the error range of which is less than for , we prove a theorem of the number of primes in short intervals: Given a positive real number that determines a real number by , let for where when let . Then there are and

Paper Structure

This paper contains 17 sections, 28 theorems, 329 equations.

Key Result

Theorem 1.1

For large numbers $x$, the prime counting function $\pi(x)$ satisfies

Theorems & Definitions (59)

  • Remark 1
  • Remark 2
  • Theorem 1.1: Main Theorem
  • proof
  • Lemma 2.1
  • proof
  • Theorem 2.2: Main Theorem
  • proof
  • Lemma 3.1
  • proof
  • ...and 49 more