Quantitative analysis of passive intermodulation and surface roughness

IF 2.3 2区 数学 Q1 MATHEMATICS, APPLIED Studies in Applied Mathematics Pub Date : 2024-03-18 DOI:10.1111/sapm.12688
Eric Stachura, Niklas Wellander, Elena Cherkaev
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Abstract

We explore the relationship between rough surface conductors and the phenomenon of passive intermodulation. The underlying surface is taken to be the boundary of a Lipschitz domain, and a characteristic angle of the domain is used to track boundary dependence on the various fields. To model electro-thermal passive intermodulation in particular, we consider a specific type of temperature-dependent conductivity and determine conditions on the conductivity under which one can use fixed point arguments to solve an induction heating and Joule heating problem on a Lipschitz domain. In the latter problem, we also consider a time-dependent permittivity function ε $\varepsilon$ . Finally, weak solutions to a magneto-quasi-static problem are obtained when the permeability µ is temperature dependent and is allowed to degenerate in a certain way. An interesting effect of the rough surface is the inherently limited Sobolev regularity of the electric field, which can be improved if one assumes additional constraints on the boundary.

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被动互调和表面粗糙度的定量分析
我们探讨了粗糙表面导体与无源互调现象之间的关系。底层表面被视为一个 Lipschitz 域的边界,该域的特征角用于跟踪各种场的边界依赖性。为了特别模拟电热被动互调,我们考虑了一种特定类型的随温度变化的电导率,并确定了电导率的条件,在这些条件下,我们可以使用定点论证来解决 Lipschitz 域上的感应加热和焦耳加热问题。在后一个问题中,我们还考虑了随时间变化的介电常数函数。最后,当磁导率 µ 与温度相关并允许以某种方式退化时,我们可以得到磁准静态问题的弱解。粗糙表面的一个有趣影响是电场的 Sobolev 正则性受到了固有的限制,如果我们在边界上假设额外的约束条件,就可以改善这种情况。
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来源期刊
Studies in Applied Mathematics
Studies in Applied Mathematics 数学-应用数学
CiteScore
4.30
自引率
3.70%
发文量
66
审稿时长
>12 weeks
期刊介绍: Studies in Applied Mathematics explores the interplay between mathematics and the applied disciplines. It publishes papers that advance the understanding of physical processes, or develop new mathematical techniques applicable to physical and real-world problems. Its main themes include (but are not limited to) nonlinear phenomena, mathematical modeling, integrable systems, asymptotic analysis, inverse problems, numerical analysis, dynamical systems, scientific computing and applications to areas such as fluid mechanics, mathematical biology, and optics.
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