Currently, natural philosophy (Physics) lacks the most fundamental model and a complete set of self-consistent explanations. This article attempts to discuss several issues related to this lack. 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.
Content
Author and article information
Journal
Title:
ScienceOpen Preprints
Publisher:
ScienceOpen
Publication date
(Electronic preprint):
11
September
2020
Affiliations
[1
] Center for Drug Delivery System, Shanghai Institute of Materia Medica, Chinese Academy
of Sciences, 501 Haike Road, Shanghai 201210, China
This work has been published open access under Creative Commons Attribution License
CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original work is properly cited. Conditions, terms of use and publishing policy
can be found at
www.scienceopen.com.
History
Date
received
: 11
September
2020
Data availability: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.