Linear Component of Polarization - Mathematical transformation

AI Thread Summary
The discussion revolves around a mathematical transformation in Agrawal's 'Nonlinear Fiber Optics,' specifically regarding the substitution of the linear polarization vector into an integral form. The user is confused about integrating exponential terms in the context of the shift theorem and how they relate to the diagonal assumption of the susceptibility tensor. There is a request for clarification on how to handle the integration of these exponentials. The thread highlights a lack of responses and encourages the user to provide additional context or rephrase their question for better engagement. Overall, the focus is on understanding the mathematical intricacies of linear polarization in nonlinear optics.
spookyfw
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Hello,

I'm currently going through Agrawal's book 'Nonlinear Fiber Optics' and got stuck with some mathematical cosmetics (pp. 40). It is the substition of:
\vec{P_L}(\vec{r},t) = \frac{1}{2} \hat{x} \left(P_L \exp{(-i \omega_0 t)} + c.c.\right)
into
\vec{P_L}(\vec{r},t) = \epsilon_0 \int_{-\infty}^{\infty} \chi^{(1)} (t-t') \cdot E(\vec{r},t') dt'
According to the book this should result in:
P_L(\vec{r},t) = \epsilon_0 \int_{-\infty}^{\infty}\chi^{(1)}_{xx} (t-t') \cdot E(\vec{r},t') \exp{(i \omega_0 (t-t'))} dt'
under the assumption that \chi was diagonal, lumping \hat{x} and \chi^{(1)} (t-t') together makes sense. But what I don't get is how to integrate the exponentials into the integral. It looks like the shift theorem, but the sum of the two exponentials leaves me puzzled. Can anyone give me a hint?

Thank you very much in advance,
spookyfw
 
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Thanks for the post! Sorry you aren't generating responses at the moment. Do you have any further information, come to any new conclusions or is it possible to reword the post?
 
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