Kramers-Kronig relations for limited data point

In summary, The person is asking about measuring the complex-optical conductivity of materials but is limited to only measuring the imaginary part for a specific wavelength range. They are wondering if they can still use Kramers-Kronig relations to find the real part of the conductivity, even though the required integrations are over the whole spectrum. Suggestions are given to extrapolate from the limited data and minimize edge effects by applying window functions.
  • #1
physengineer
21
0
Hello,

I need to measure the complex-optical conductivity of some materials. The problem is that I can only measure the imaginary part of the complex conductivity only for limited wavelengths between 1030 nm and 2300 nm.

From Kramers-Kronig relations, we know that the real and imaginary parts of the optical conductivity are related but the required integrations are from [itex]-\infty[/itex] to
[itex]+\infty[/itex].

Is there any way to still be able to use Kramers-Kronig relations when I only know the imaginary part for just an interval rather than the whole spectrum.

I would appreciate any help in this regard!
 
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  • #2
If you have enough data, you may be able to reasonably extrapolate to find the other values. Fit a curve to your data and use the curve for values you don't have.

Also, in practice, we can never acquire an infinite number of points in order to satisfy certain relations such as Kramers-Kronig or Fourier Transforms, and thus edge effects are inevitable. We can minimize edge effects by applying http://en.wikipedia.org/wiki/Window_function" .
 
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1. What are Kramers-Kronig relations for limited data point?

The Kramers-Kronig relations are a set of mathematical equations that relate the real and imaginary parts of a complex function. They are often used in physics and engineering to analyze the behavior of systems described by complex functions.

2. How do Kramers-Kronig relations work?

The Kramers-Kronig relations are based on the principle of causality, which states that the effect of a cause cannot occur before the cause itself. They use this principle to relate the real and imaginary parts of a function by performing a mathematical transformation.

3. What is the importance of Kramers-Kronig relations?

Kramers-Kronig relations are important because they allow us to extract information about a system from a limited set of data points. This can be especially useful in situations where obtaining a full set of data points is difficult or impossible.

4. What are the limitations of Kramers-Kronig relations?

One limitation of Kramers-Kronig relations is that they require the function to be analytic, meaning it must be continuous and have no singularities. Additionally, they may not work well with highly oscillatory data or if the data points are very far apart.

5. How are Kramers-Kronig relations used in practical applications?

Kramers-Kronig relations have many practical applications, including in the fields of optics, signal processing, and materials science. They can be used to analyze data from experiments, design systems with specific properties, and improve the accuracy of measurements.

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