Converting Partial Differential Equations to Frequency Domain

In summary, the speaker is seeking assistance with converting a partial differential equation from time domain to frequency domain. They specifically mention a term involving the magnitude of electric fields and angular frequency. They are looking for help with using a Fourier transform to find the desired result.
  • #1
Radel
6
0
Hello All,

I would like to convert a partial diff equation in time domain into frequency domain, however there is a term of the form:
Re(∇(E1.E2*) exp(j[ω][/0]t))
where E1 and E2 are the magnitudes of the electric field and [ω][/0] is the angular frequency.

Can someone please help me to solve this.

Thanks for your help!
 
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  • #2
Lets see if I understand you so far.
You have $$f(t) = \Re\left[ \nabla (E_1E_2^\star ) e^{j\omega_0 t}\right]$$ ... and you want to find ##F(\omega)## using a Fourier transform? Is that correct?

Where do you encounter difficulty? (Please show your best attempt.)
 

1. What is the frequency domain?

The frequency domain is a mathematical representation of a signal or function that displays the frequency components of the signal. It allows for the analysis of signals in terms of their individual frequency components, rather than their amplitude over time.

2. How do you convert a signal to the frequency domain?

To convert a signal to the frequency domain, you can use a mathematical transformation called the Fourier transform. This transformation takes a signal in the time domain and produces a representation of it in the frequency domain.

3. What is the purpose of converting to the frequency domain?

Converting a signal to the frequency domain allows for easier analysis and manipulation of the signal. It can also help to identify and isolate specific frequency components within the signal, which can be useful in various applications such as signal filtering and noise reduction.

4. What types of signals can be converted to the frequency domain?

Any type of signal that has a repetitive or periodic nature can be converted to the frequency domain. This includes signals from various fields such as audio, image processing, and telecommunications.

5. Are there different types of frequency domain representations?

Yes, there are different types of frequency domain representations depending on the type of signal and the application. Some common representations include the magnitude spectrum, phase spectrum, and power spectrum.

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