Entropy Primes and Integer Composites: The 2nd Quantization Approach

F. Michael
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Abstract

Primes constitute a subset of all integers. Integers that are not prime are composite numbers, constituted of primes. Studies of numbers have been ongoing for millenia, and with recent advances making large strides forward in understanding and in connections between various viewpoints and approaches, yet we are unsure (as consensus) of whether there are patterns to primes or if they are uncorrelated random occurrences on the space of integers positive and infinite. However advances of the research yet if not the results sought for yet do occur, with the very question of determinism of occurrence of primes and its antipode of randomness of occurrence of primes prompting introduction of probability, and with probability the concept of entropy or perhaps the sequence is reversed for some researchers. In this letter we pursue such an investigation from entropy and randomness or statistics considerations. We approach this from discrete or quantum statistics which we argue are naturally number theoretic mappings or representation efficient and compact formalisms. We show how occupation number formalism or second quantization naturally reproduces recent entropy of numbers formulations.
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熵素数与整数复合:第二种量化方法
素数构成所有整数的子集。非素数的整数是由素数组成的合数。对数字的研究已经持续了几千年,随着最近的进展,在理解和各种观点和方法之间的联系方面取得了长足的进步,但我们不确定(作为共识)是否存在素数的模式,或者它们是否在正无穷整数空间上不相关的随机事件。然而,研究的进展,如果不是所寻求的结果,但已经发生了,由于质数出现的决定论问题及其对质数出现的随机性的反命题,促使引入了概率论,并且在概率论中,熵的概念,或者可能对一些研究人员来说,序列是颠倒的。在这封信中,我们从熵和随机性或统计学的考虑来进行这样的调查。我们从离散或量子统计来解决这个问题,我们认为这是自然的数论映射或表示效率和紧凑的形式。我们展示了职业数形式化或二次量化如何自然地再现最近的数字熵公式。
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