Wavelet Analysis of a Number of Prime Numbers

P. Mazurkin
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引用次数: 15

Abstract

We adhere to the concepts of Descartes, the need to apply algebraic equations directly as a final decision. The concept of wavelet signal allows to abstract from an unknown number of primes of a physical quantity. Any number of primes can be decomposed into a finite set of asymmetric wavelets with variable amplitude and frequency. For example, taken a number of A000040. The first term of the total number of model А000040 according to the law of exponential growth is the contribution of the absolute error 97,53 %. The first member of the general model of a number of А000040 on the law of exponential growth is the contribution of the absolute error 97,53 %. The remaining 35 wavelets amount to a total of 2.47 %. But their influence on the number of primes very significant. It is proved that any type of fnite-dimensional number of primes can be decomposed into a fnite-dimensional set of asymmetric wavelets with variable amplitude and frequency of oscillatory perturbations.
一组素数的小波分析
我们坚持笛卡尔的概念,需要应用代数方程直接作为最后的决定。小波信号的概念允许从一个物理量的未知素数中抽象出来。任意数量的素数都可以分解成有限的可变振幅和频率的不对称小波集。例如,取数字A000040。模型的第一项总数А000040按指数增长规律是绝对误差的贡献率为97,53 %。一般模型的第一成员数А000040对指数增长规律的贡献是绝对误差的97,53 %。其余35个小波合计为2.47%。但它们对质数的影响非常显著。证明了任意一类有限维素数都可以分解为具有可变振幅和频率的振荡扰动的有限维非对称小波集。
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