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arXiv 1901.04549math.NT
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穿越高斯素数

Walking through the Gaussian Primes

Madhuparna Das

AI总结:

本文研究高斯护城河问题,提出在平面上高效寻找高斯素数的算法,计算护城河并分析时间复杂度,与既有算法比较,同时将素性概念推广到三维空间并提出新问题。

摘要:

高斯护城河问题探讨的是:能否以高斯整数中的高斯素数为踏脚石,通过有界步长走向无穷远。本文分析了高斯素数,并开发了一种在 $\mathbb{R}^2$ 平面上寻找素数的算法,这将有助于我们计算更大值的护城河。尽管高斯素数在 $\mathbb{R}^2$ 平面上的分布并不十分规则,但该算法大幅减少了寻找高斯素数所需的计算量。值为 $\sqrt{26}$ 的护城河是 Genther 等人已有的结果。该问题的核心在于证明随着我们趋近无穷远,素数变得越来越稀少。我们借助自己的算法展示了这一结果。我们计算了护城河,并计算了算法的时间复杂度,将其与 Genther-Wagon-Wick 算法进行了比较。作为一个新的组成部分,我们定义了 $\mathbb{R}^3$ 平面的素性概念,并在此基础上提出了一个问题。

英文摘要:

The Gaussian Moat problem asks whether one can walk to infinity in the Gaussian integers using the Gaussian primes as stepping stones and taking bounded length steps or not. In this paper, we have analyzed the Gaussian primes and also developed an algorithm to find the primes on the $\mathbb{R}^2$ plane which will help us to calculate the moat for higher value. We have also reduced a lot of computation with this algorithm to find the Gaussian prime though their distribution on the $\mathbb{R}^2$ plane is not so regular. A moat of value $\sqrt{26}$ is already an existing result done by Genther et.al. The focus of the problem is to show that primes are getting lesser as we are approaching infinity. We have shown this result with the help of our algorithm. We have calculated the moat and also calculated the time complexity of our algorithm and compared it with Genther-Wagon-Wick's algorithm. As a new ingredient, we have defined the notion of primality for the plane $\mathbb{R}^3$ and proposed a problem on it.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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