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Using Microwave and Macroscopic Samples of Dielectric Solids to Study the Photonic Properties of Disordered Photonic Bandgap Materials
Published on: September 26, 2014
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Analytical Methods for Causality Evaluation of Photonic Materials.
Tomasz P Stefański1, Jacek Gulgowski2, Kosmas L Tsakmakidis3
1Faculty of Electronics, Telecommunications, and Informatics, Gdansk University of Technology, 80-233 Gdansk, Poland.
Materials (Basel, Switzerland)
|February 25, 2022
Summary
This study reviews methods for evaluating causality in photonic materials using rigorous mathematical theorems. It provides tools to determine if material models are causal, aiding electrodynamics and optics research.
Area of Science:
- Optics and Photonics
- Electrodynamics
- Materials Science
Background:
- Causality is a fundamental principle in physics, crucial for understanding material responses.
- Evaluating causality in photonic materials is complex, often requiring advanced mathematical tools.
- Existing material models may not always adhere to causality principles.
Purpose of the Study:
- To comprehensively review and formulate mathematical theorems for causality evaluation in photonic materials.
- To provide rigorous methods for determining the causality of material models.
- To correct and establish causal formulations for existing material models.
Main Methods:
- Collection and application of distributional theorems, including the distributional Titchmarsh theorem.
- Utilizing distribution theory to correct and formulate causal material models.
- Overview of five methods for assessing causality of dispersion relations, including Kramers-Krönig relations.
Main Results:
- A set of theorems is formulated for rigorous causality evaluation of material models.
- Distribution theory is applied to derive causal formulations for complex electromagnetic systems.
- Alternative methods to Kramers-Krönig relations are presented for challenging integral calculations.
Conclusions:
- The presented methodologies offer robust tools for analyzing causality in photonic materials.
- Scientists and engineers can utilize these methods to prove or disprove causality in electrodynamics and optics.
- The study emphasizes the importance of invoking mathematical distributions for advanced causality analysis.
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