[See part 2 for some technical aspects]

Very nice derivation of the Kramers-Kronig relations (on Wikipedia, of all places), exploiting the relation between the even and odd components of a function \(\chi (t)\) and the real and imaginary parts of its Fourier transform \(\chi (\omega) = \chi ' (\omega) + i \, \chi '' (\omega)\).

Very nice derivation of the Kramers-Kronig relations (on Wikipedia, of all places), exploiting the relation between the even and odd components of a function \(\chi (t)\) and the real and imaginary parts of its Fourier transform \(\chi (\omega) = \chi ' (\omega) + i \, \chi '' (\omega)\).

One usually invokes the analyticity of \(\chi (\omega)\) in the upper half-plane, which must first be derived from the causality: \(\chi (t) = 0\) for \(t < 0\). Complex integration along a well-chosen contour then yields the Kramers-Kronig relations in their standard form [1]:

\begin{align}\label{eq:KK}

\chi (\omega) &= \frac{1}{i \, \pi} \mathcal{P} \int_{-\infty}^{\infty} \text{d} \omega ' \frac{\chi (\omega ')}{\omega ' - \omega} \quad \text{or, for the components:} \nonumber \\

\chi '(\omega) &= \frac{1}{\pi} \mathcal{P} \int_{-\infty}^{\infty} \text{d} \omega ' \frac{\chi ''(\omega ')}{\omega ' - \omega} \\

\chi ''(\omega) &= -\frac{1}{\pi} \mathcal{P} \int_{-\infty}^{\infty} \text{d} \omega ' \frac{\chi '(\omega ')}{\omega ' - \omega} \nonumber

\end{align}

where \(\mathcal{P}\) denotes Cauchy's principal value.

However, this requires two trips to the complex plane and the result is not very intuitive. It is better to split the reasoning into two steps: write the relation in the time domain and then go to the frequency domain by using general (and hopefully, already known) properties of the Fourier transform [2]. This can help separate the conceptual novelty from the technical difficulty.

Illustration of the Kramers-Kronig relations between a physical (i. e. causal and real) signal and its Fourier transform. Work by FDominec, released under a Creative Commons Attribution-Share Alike 3.0 Unported license. |

The first step is writing the response function as the sum of its even and odd components:

\begin{align}\chi (t) &= \chi _{e}(t) + \chi _{o}(t) \quad \text{where:} \nonumber\\

\chi _{e}(t) &= \frac{1}{2} (\chi (t) + \chi (-t)) \quad \text{and}\\

\chi _{o}(t) &= \frac{1}{2} (\chi (t) - \chi (-t)) \nonumber

\end{align}

something we can do for any real function. The causality relation (\(\chi (t) = 0\) for \(t < 0\)) implies that:

\begin{align}

\label{eq:parity}

\chi _{e}(t) &= \operatorname{sgn}(t) \, \chi _{o}(t) \quad \text{and}\\

\chi _{o}(t) &= \operatorname{sgn}(t) \, \chi _{e}(t) \nonumber

\end{align}

where \(\operatorname{sgn}(t)\) gives the sign of its argument (-1 for negative and +1 for positive values.)

This is interesting because the real and imaginary parts of the Fourier transform \(\mathcal{F}\) are given by the even and odd components of the function, respectively:

\begin{align}\label{eq:Fourier}

\chi (\omega) &= \chi ' (\omega) + i \, \chi '' (\omega) = \mathcal{F} [\chi (t) ] \nonumber\\

\chi ' (\omega) &= \mathcal{F} [\chi _{e} (t) ] \\

i \, \chi '' (\omega) &= \mathcal{F} [\chi _{o} (t) ] \nonumber

\end{align}

The first step is over; to obtain \eqref{eq:KK} we must now combine \eqref{eq:parity} with \eqref{eq:Fourier} and go to the frequency domain. We need to remember that the Fourier transform of a product is the convolution of the Fourier transforms of the factors and we also need an expression for the Fourier transform of the \(\operatorname{sgn}(t)\) function. We will do this in part 2.

^{[1] P. M. Chaikin and T. C. Lubensky, Principles of condensed matter physics, Cambridge University Press (2000). Chapter 7.↩}

^{[2] For a recent and readily available reference, see: C. Warwick, Understanding the Kramers-Kronig Relation Using A Pictorial Proof. The idea goes at least as far back as the (very terse) presentation of B. Y.-K. Hu, Kramers-Kronig in two lines, Am. J. Phys. 57, 821, (1989). ↩}

## No comments:

## Post a Comment