How does the Kramers-Kronig relation connect the real and imaginary parts of permittivity?
Kramers-Kronig Dispersion Relations
The Kramers-Kronig relations are a fundamental consequence of causality and linearity, providing a deep connection between absorption (loss) and dispersion (frequency-dependent propagation velocity) in all physical systems.
Frequently Asked Questions
Do all dielectric materials satisfy Kramers-Kronig?
All linear, causal, passive dielectric materials satisfy the KK relations exactly. This includes: ceramics, polymers, PCB substrates, semiconductors, biological tissues, and liquids. Non-compliance with KK would violate causality (a fundamental physical principle). If measured data for a material appears to violate KK: the discrepancy is due to measurement error, not a physical violation.
How do Kramers-Kronig relations help with FDTD simulation?
FDTD simulation requires a time-domain description of the material response. Simply using frequency-independent epsilon creates a non-dispersive material (which violates KK if there is any loss). For broadband FDTD: fit the complex permittivity to a KK-compliant model (e.g., multi-term Debye: epsilon(omega) = epsilon_infinity + sum(delta_epsilon_n/(1+j*omega*tau_n))). The FDTD algorithm implements each Debye term as an auxiliary differential equation updated at each time step. This approach guarantees: causality (no pre-ringing), energy conservation (no artificial gain), and accurate broadband dispersion. CST and other FDTD solvers perform this fitting automatically when you input measured broadband permittivity data.
What is the difference between Kramers-Kronig and Hilbert transform?
They are mathematically equivalent. The KK relations for epsilon(omega) are a specific case of the Hilbert transform applied to the complex susceptibility. The Hilbert transform relates the real and imaginary parts of any causal transfer function, while KK is the specific application to permittivity (or permeability, or refractive index). In signal processing: the Hilbert transform is used to construct analytic signals and extract instantaneous frequency. In EM: KK is used to relate absorption and dispersion. Same mathematics, different physical context.