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Regression law of fluctuations and self-similarity law near critical point by noting a hierarchical structure of nature

机译:通过注意自然的层次结构来确定临界点附近的波动回归律和自相似律

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In the case of a system far from equilibrium including a bifurcation point, the conventional perturbation theory becomes irrelevant. Fluctuations near critical point give rise to a macroscopic effect and behave nonlinearly. So-called an asymptotic method for analysis of such large fluctuations occurring, for example, in chemical systems is proposed, in which case, it is basic that dynamics is described by a master equation. Here, we present the master equation written by a newly defined generating function. By noting a hierarchical structure of nature and introducing new moment generating functions with a scaling expansion method, we can show that the macroscopic transport law, the equation of motion describing the fluctuating deviations from the deterministic path and the equation of the variance of fluctuation is automatically obtained. It is also shown that even at such a near critical point the hypothesis called the regression law of fluctuations is still valid.
机译:在一个远离分叉点的平衡系统的情况下,传统的扰动理论变得无关紧要。临界点附近的波动会产生宏观影响,并且表现为非线性。提出了一种用于分析例如在化学系统中发生的如此大的波动的所谓的渐近方法,在这种情况下,基本情况是用一个主方程描述动力学。在这里,我们介绍由新定义的生成函数编写的主方程。通过注意自然的分层结构并使用缩放扩展方法引入新的矩生成函数,我们可以证明宏观输运定律,描述确定性路径波动偏差的运动方程和波动方差方程是自动的获得。还表明,即使在如此接近临界点的情况下,称为波动的回归定律的假设仍然有效。

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