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基于生物物理学范式的无极化场麦克斯韦方程组

Maxwell Equations without a Polarization Field, Using a Paradigm from Biophysics.

作者信息

Eisenberg Robert S

机构信息

Department of Applied Mathematics, Illinois Institute of Technology, Chicago, IL 60616, USA.

Department of Physiology and Biophysics, Rush University Medical Center, Chicago, IL 60612, USA.

出版信息

Entropy (Basel). 2021 Jan 30;23(2):172. doi: 10.3390/e23020172.

DOI:10.3390/e23020172
PMID:33573137
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7912333/
Abstract

When forces are applied to matter, the distribution of mass changes. Similarly, when an electric field is applied to matter with charge, the distribution of charge changes. The change in the distribution of charge (when a local electric field is applied) might in general be called the induced charge. When the change in charge is simply related to the applied local electric field, the polarization field is widely used to describe the induced charge. This approach does not allow electrical measurements (in themselves) to determine the structure of the polarization fields. Many polarization fields will produce the same electrical forces because only the divergence of polarization enters Maxwell's first equation, relating charge and electric forces and field. The curl of any function can be added to a polarization field without changing the electric field at all. The divergence of the curl is always zero. Additional information is needed to specify the curl and thus the structure of the field. When the structure of charge changes substantially with the local electric field, the induced charge is a nonlinear and time dependent function of the field and is not a useful framework to describe either the electrical or structural basis-induced charge. In the nonlinear, time dependent case, models must describe the charge distribution and how it varies as the field changes. One class of models has been used widely in biophysics to describe field dependent charge, i.e., the phenomenon of nonlinear time dependent induced charge, called 'gating current' in the biophysical literature. The operational definition of gating current has worked well in biophysics for fifty years, where it has been found to makes neurons respond sensitively to voltage. Theoretical estimates of polarization computed with this definition fit experimental data. I propose that the operational definition of gating current be used to define voltage and time dependent induced charge, although other definitions may be needed as well, for example if the induced charge is fundamentally current dependent. Gating currents involve substantial changes in structure and so need to be computed from a combination of electrodynamics and mechanics because everything charged interacts with everything charged as well as most things mechanical. It may be useful to separate the classical polarization field as a component of the total induced charge, as it is in biophysics. When nothing is known about polarization, it is necessary to use an approximate representation of polarization with a dielectric constant that is a single real positive number. This approximation allows important results in some cases, e.g., design of integrated circuits in silicon semiconductors, but can be seriously misleading in other cases, e.g., ionic solutions.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc6/7912333/a96e99b8d9a5/entropy-23-00172-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc6/7912333/988c4f64314f/entropy-23-00172-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc6/7912333/a96e99b8d9a5/entropy-23-00172-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc6/7912333/988c4f64314f/entropy-23-00172-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4fc6/7912333/a96e99b8d9a5/entropy-23-00172-g002.jpg

当力作用于物质时,质量分布会发生变化。同样,当电场作用于带电荷的物质时,电荷分布也会发生变化。电荷分布的变化(当施加局部电场时)通常可称为感应电荷。当电荷变化与所施加的局部电场简单相关时,极化场被广泛用于描述感应电荷。这种方法本身不允许通过电学测量来确定极化场的结构。许多极化场会产生相同的电力,因为只有极化的散度进入麦克斯韦第一方程,该方程将电荷、电力和电场联系起来。任何函数的旋度都可以添加到极化场中,而根本不改变电场。旋度的散度始终为零。需要额外的信息来指定旋度,从而确定场的结构。当电荷结构随局部电场发生显著变化时,感应电荷是场的非线性且与时间相关的函数,并且不是描述电或结构基础感应电荷的有用框架。在非线性、与时间相关的情况下,模型必须描述电荷分布及其随场变化的方式。一类模型已在生物物理学中广泛用于描述场依赖电荷,即在生物物理文献中称为“门控电流”的非线性与时间相关的感应电荷现象。门控电流的操作定义在生物物理学中已经成功应用了五十年,人们发现它能使神经元对电压做出敏感反应。用这个定义计算出的极化理论估计值与实验数据相符。我提议使用门控电流的操作定义来定义与电压和时间相关的感应电荷,不过可能也需要其他定义,例如,如果感应电荷从根本上依赖于电流。门控电流涉及结构上的重大变化,因此需要结合电动力学和力学来计算,因为所有带电物质都与所有带电物质以及大多数机械物质相互作用。将经典极化场作为总感应电荷的一个分量分离出来可能是有用的,就像在生物物理学中那样。当对极化一无所知时,有必要使用介电常数为单个实正数的极化近似表示。这种近似在某些情况下能得出重要结果,例如硅半导体中集成电路的设计,但在其他情况下可能会产生严重误导,例如在离子溶液中。

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