Splitting light into colors, mathematical expression (fourier transforms)

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Discussion Overview

The discussion revolves around the mathematical treatment of light, specifically how to modify a function representing photons hitting an area to isolate those of a specific wavelength, such as red light. The conversation touches on the use of Fourier transforms and their implications in this context, as well as the Gaussian function related to light distribution.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant seeks to adjust a function G(x) to focus on photons of a specific wavelength, suggesting the use of Fourier transforms and de Broglie's law.
  • Another participant requests clarification on what the function represents, indicating that more details could aid in addressing the problem.
  • A participant reiterates the goal of determining the number of photons of a specific frequency from a given function describing photon incidence.
  • Concerns are raised about the feasibility of obtaining a frequency distribution solely from the number of photons, emphasizing that a distribution can vary despite a fixed number of photons.
  • It is noted that while Fourier transforms can convert between domains, the "frequency" in this context refers to spatial periodicity rather than the frequency of electromagnetic waves.
  • A follow-up question is posed regarding the application of these concepts to a Gaussian slit experiment, questioning whether it provides the desired frequency distribution.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between the number of photons and their frequency distribution. There is no consensus on how to achieve the desired mathematical representation or the implications of Fourier transforms in this scenario.

Contextual Notes

Participants have not fully defined the assumptions underlying their functions or the specific conditions of the problem, which may affect the interpretation of the Fourier transform in this context.

FordDJ22
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I am trying to solve a problem that includes a function of the light hitting a certain area. My question is, how would I change a function G(x) of photons hitting a certain area to include just photons of a certain wavelength, say red light. I feel like this could be accomplished using a Fourier transform and de broglie's law, but I'm not sure. Can someone please help, just for a general gaussian function G(x)?
 
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What does this function represent? It may help if you post more detailed specification of your problem.
 
Basically, given a function that gives the number of photons hitting a certain area, I want a mathematical way to determine how many of those photons are of a specific frequency (such as red light).
 
FordDJ22 said:
Basically, given a function that gives the number of photons hitting a certain area, I want a mathematical way to determine how many of those photons are of a specific frequency (such as red light).

I don't think you can get that distribution simply from the number of photons hitting the area. One thing does not lead to another. You can perfectly have N photons with all kinds of different frequency distribution.
You mentioned Fourier Transform, yes, it does transform between time domain to frequency domain, but here the "frequency" has a different meaning than what you might have in mind (it means the spatial periodicity of the underlying time-domain function, not the frequency of the EM wave)
 
cattlecattle said:
I don't think you can get that distribution simply from the number of photons hitting the area. One thing does not lead to another. You can perfectly have N photons with all kinds of different frequency distribution.
You mentioned Fourier Transform, yes, it does transform between time domain to frequency domain, but here the "frequency" has a different meaning than what you might have in mind (it means the spatial periodicity of the underlying time-domain function, not the frequency of the EM wave)

Ok, then how would this look specifically for a Gaussian slit experiment? Does that give the frequency distribution you were looking for?
 

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