数学预测方程的存在性、收敛条件及其简化推导

IF 1.4 Q2 MATHEMATICS, APPLIED
Xuzan Gu, Zhibin Wang
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引用次数: 0

摘要

数学预测方程(MPE)为物理系统的波动场预测提供了一个数学定义。它适用于流体力学和数值天气预报模型。在泰勒展开中,MPE是一个保证时空精度的无穷级数,它的收敛条件(收敛域)必须建立。所提供的简化的MPE推导和推理包括一个说明性的傅立叶波动方程分析。推导还建立了欧拉常数方程与牛顿的位移、速度和加速度之间的数学关系。MPE准确地预测任何阶的已知变量的波动。它可以作为流体数值预测模型的数学基础。将MPE及其收敛条件与三次样条函数相结合,得到了具有二阶时空精度的理想气体压力、温度和流场的封闭预测方程。进一步的研究方向包括由数学界严格证明MPE的有效性,探索MPE在量子领域的应用,讨论牛顿位移和爱因斯坦位移的数学定义和区别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Existence of the mathematical prediction equation and its convergence condition and its simplified derivation
The mathematical prediction equation (MPE) offers a mathematical definition for wave-motion field prediction in physical systems. It applies to fluid mechanics and numerical weather forecasting models. MPE is an infinite series ensuring space-time accuracy in the Taylor expansion, and its convergence condition (convergence domain) must be established. The provided simplified derivation and inference of MPE include an illustrative Fourier wave-motion equation analysis. The derivation also establishes mathematical relationships between the Euler constant equation and Newton's displacement, velocity, and acceleration. MPE accurately predicts fluctuations of known variabilities for any order. It should serve as the mathematical foundation for fluid numerical prediction models. Moreover, combining MPE and its convergence condition with the cubic spline function yielded closed prediction equations for ideal gas pressure, temperature, and flow fields with second-order space-time accuracy. Further research directions include demonstrating the validity of MPE rigorously by the mathematical community and exploring MPE applications in quantum fields and discussing the mathematical definitions and differences between Newton and Einstein displacements.
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来源期刊
Results in Applied Mathematics
Results in Applied Mathematics Mathematics-Applied Mathematics
CiteScore
3.20
自引率
10.00%
发文量
50
审稿时长
23 days
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