Two charged beads with a third bead in equilibrium

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SUMMARY

The discussion focuses on the equilibrium of a third charged bead placed between two charged beads. The equilibrium condition is established by equating the electric fields from the two charges, leading to the equation 1/(d-a)^2 = 3/a^2. The solution yields the ratio a = sqrt(3)/(1 + sqrt(3)) * d, where 'a' is the distance of the third bead from one charge and 'd' is the distance between the two charges. The stability of this equilibrium is analyzed through the net electric field and potential energy, concluding that the equilibrium is unstable if the third bead is perturbed.

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  • #31
I understood the situation intuitively and conceptually concerning the equilibrium issue, but couldn't wrap my head around how the mathematics dictate whether the equilibrium is stable or not.
 
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  • #32
putongren said:
I understood the situation intuitively and conceptually concerning the equilibrium issue, but couldn't wrap my head around how the mathematics dictate whether the equilibrium is stable or not.
Mathematically, one evaluates the second derivative of the potential energy at the equilibrium position.
  • If the result is positive, the equilibrium is stable.
  • If the result is negative, the equilibrium is unstable.
 
  • #33
kuruman said:
Mathematically, one evaluates the second derivative of the potential energy at the equilibrium position.
  • If the result is positive, the equilibrium is stable.
  • If the result is negative, the equilibrium is unstable.
I'm not sure whether @putongren's difficulty is with the mathematical formulation or why it is correct.
At the equilibrium point, the first derivative is zero; i.e. the gradient is horizontal. If the second derivative is positive then the gradient is increasing as x increases. Since the gradient is zero at the equilibrium point, that means it is negative to the left of the point and positive to the right. Hence it is in the bottom of a dip.

There is also the possibility that the second derivative is also zero. In this case, you just have to keep taking more derivatives until you reach the first that is nonzero there.
Having reached it, it matters whether you had to differentiate an odd or even number of times. If an even number, positive indicates a minimum and negative indicates a maximum, as in the simple case discussed above.
But if an odd number of differentiations then it is neither a minimum nor a maximum. Instead, it is a "saddle", a kind of inflexion point.

E.g. consider ##y=x^3##. The first nonzero derivative at x=0 is the third, making zero an inflexion. But for ##y=x^4## the first nonzero derivative at x=0 is the fourth, where it is 24, making it a minimum.
 
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