Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

Statistical Principles of Natural Philosophy

Version 1 : Received: 12 September 2020 / Approved: 14 September 2020 / Online: 14 September 2020 (00:04:07 CEST)
Version 2 : Received: 31 December 2020 / Approved: 5 January 2021 / Online: 5 January 2021 (11:14:18 CET)

How to cite: Guo, T. Statistical Principles of Natural Philosophy. Preprints 2020, 2020090307 (doi: 10.20944/preprints202009.0307.v2). Guo, T. Statistical Principles of Natural Philosophy. Preprints 2020, 2020090307 (doi: 10.20944/preprints202009.0307.v2).

Abstract

Currently, natural philosophy (Physics) lacks the most fundamental model and a complete set of self-consistent explanations. This article attempts to address several issues to fill in the gaps. Starting from the most basic philosophical paradoxes, I deduce a physical model (the natural philosophical outlook) to describe the laws governing the operation of the universe. Based on this model, a mathematical model is established to describe the generalized diffusion behavior of a moving particle swarm, and its simple verification is carried out. In this article, the gravitational force and relativistic effects are interpreted for the first time as a statistical effect of randomly moving particles. Thus, the gravitational force and special relativistic effects are integrated into a single equation (achieved by selecting an initial wave function with a specific norm when solving it), and the cause of stable particle formation is also revealed. The derived equation and the method of acquiring the initial wave function are fully self-consistent with the hypotheses stated in the physical model, thereby also proving the reliability of the physical model to some extent. Some of these ideas may have potential value as a basis for understanding the essence of quantum mechanics, relativity and superstring theory, as well as for gaining a further understanding of nature and the manufacture of quantum computers.

Subject Areas

Randomly Moving Particles; Statistical Effect; Generalized Diffusion Equation

Comments (1)

Comment 1
Received: 5 January 2021
Commenter: Tao Guo
Commenter's Conflict of Interests: Author
Comment: 1.The numerical solution of Eq. 43 was replaced by an analytical solution.
2.The logic thinking of "vector decomposition" was further improved in Supplementary Information.
3.The image quality was improved and other details was corrected as well.
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