EM field between 2 superimpose spheres

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SUMMARY

The discussion focuses on calculating the electric field in the hollow section between two partially overlapping uniformly charged spheres with charge densities ρ+ and ρ-. The key equations utilized include Gauss's Law and the formula for the electric field inside a uniformly charged sphere, which is given by E = (ρr)/(3ε₀). The final expression for the electric field in the hollow section is derived as E = (ρd)/(3ε₀), where d is the vector distance between the centers of the two spheres. This result is confirmed through a step-by-step analysis of the contributions from both spheres.

PREREQUISITES
  • Understanding of Gauss's Law in electromagnetism.
  • Familiarity with electric fields produced by uniformly charged spheres.
  • Knowledge of vector calculus and vector addition.
  • Basic concepts of charge density and its implications in electric field calculations.
NEXT STEPS
  • Study the application of Gauss's Law in various geometries.
  • Learn about electric fields from different charge distributions, including point charges and continuous charge distributions.
  • Explore the principles of superposition in electric fields.
  • Investigate the implications of electric field calculations in real-world applications, such as capacitors and electric circuits.
USEFUL FOR

Students of electromagnetism, physics educators, and anyone involved in electrical engineering or physics research focusing on electric fields and charge distributions.

  • #31
Right!

So, \textbf{E}=\frac{\rho\textbf{d}}{3\epsilon_0}

:smile:
 
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  • #32
gabbagabbahey said:
Right!

So, \textbf{E}=\frac{\rho\textbf{d}}{3\epsilon_0}

:smile:

got it, thank you very much.
 
Last edited:
  • #33
Well, it's your homework problem so it doesn't really matter whether I'm sure, what's important is whether or not you're sure.

You seem to have doubts... is there a reason you doubt this result? Is there some part of the above analysis you are uncomfortable with?
 
  • #34
gabbagabbahey said:
Well, it's your homework problem so it doesn't really matter whether I'm sure, what's important is whether or not you're sure.

You seem to have doubts... is there a reason you doubt this result? Is there some part of the above analysis you are uncomfortable with?

mm not really just was a moment of doubt, but you got me convinced.
thanks
 

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