
In this article, we study the Faraday effect in a binary composite consisting of a dielectric matrix with metallic inclusions. We first use the replica trick together with a variational method in order to compute the effective permittivity tensor (in the quasi-static limit) of this composite in a static magnetic field. In order to find the scaling exponents near the percolation threshold, we use a high contrast or low frequency expansion combined with scaling. The result of the two methods are in agreement and predict that near the percolation threshold (and below, that is in the dielectric region), the Faraday effect is greatly enhanced.
14 pages. Submitted to Phys. Rev. B
Condensed Matter - Materials Science, Statistical Mechanics (cond-mat.stat-mech), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics
Condensed Matter - Materials Science, Statistical Mechanics (cond-mat.stat-mech), Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Condensed Matter - Statistical Mechanics
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 13 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
