Graduate Converting Partial Differential Equations to Frequency Domain

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SUMMARY

The discussion focuses on converting a partial differential equation from the time domain to the frequency domain using Fourier transforms. The specific equation under consideration is $$f(t) = \Re\left[ \nabla (E_1E_2^\star ) e^{j\omega_0 t}\right]$$, where E1 and E2 represent electric field magnitudes and [ω][/0] denotes angular frequency. Participants clarify the process of applying the Fourier transform to derive ##F(\omega)## from the given function. The conversation emphasizes the importance of understanding the gradient operator and complex exponentials in this context.

PREREQUISITES
  • Understanding of Fourier transforms and their applications in signal processing.
  • Familiarity with partial differential equations and their properties.
  • Knowledge of complex numbers and their manipulation in mathematical expressions.
  • Basic concepts of electromagnetic fields, specifically electric field representations.
NEXT STEPS
  • Study the application of Fourier transforms in solving partial differential equations.
  • Learn about the properties of the gradient operator in vector calculus.
  • Explore the relationship between time-domain and frequency-domain representations in signal processing.
  • Investigate the use of complex exponentials in electromagnetic theory.
USEFUL FOR

Researchers, physicists, and engineers working with electromagnetic theory, particularly those involved in signal processing and the analysis of partial differential equations.

Radel
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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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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.)
 

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