Effective potential energy minimum

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Effective potential energy is defined as U^*(ρ) = L^2/(2mρ^2) + U(ρ), and a stable circular orbit occurs when U^*(ρ) has a minimum. This stability arises because, near the minimum, the particle behaves like a harmonic oscillator, leading to a constant radius ρ0 for circular motion. The discussion also explores the conditions for local extrema, emphasizing that a positive second derivative indicates a minimum, while a zero second derivative requires further analysis of higher derivatives to determine the nature of the point. Examples illustrate how functions can exhibit saddle points or minima based on their derivatives. Understanding these concepts is crucial for analyzing particle dynamics in effective potential energy scenarios.
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Effective potential energy is defined by
U^*(\rho)=\frac{L^2}{2m\rho^2}+U(\rho)
in many problems I found that particle will have stable circular orbit if U^*(\rho) has minimum.

1. Why is that a case? Why circle? Why not ellipse for example?

2. Is this condition equivalent with
\frac{f'(\rho)}{f(\rho)}+\frac{3}{\rho}>0?
 
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Around a minimum ##\rho_0## you (very often) have
$$U(\rho)=U_0(\rho_0)+\frac{m \omega^2}{2}$$
with ##m \omega^2=U''(\rho)>0##. This implies that if the particle is close to the minimum ##\rho_0##, it behaves as in a harmonic-oscillator potential. A particular solution is of course ##\rho(t)=\rho_0=\text{const}##. Then you have a circular orbit. Otherwise the particle oscillates around such an orbit.
 
And when this is not the case? I am really trying to understand this but I have difficulties.
 
What do you mean? If you have a twice continuously differentiable function in some interval, the necessary condition for a (local) extremum is that its first derivative vanishes at the corresponding point. To have a minimum, it's sufficient (but not necessary) that the 2nd derivative is positive.

The criterion fails, if the function's 2nd derivative is also 0 at this point. Then it's either a saddle point or an extremum, depending on whether the first non-vanishing derivative is odd or even, respectively.

E.g. the function ##f(x)=x^3## has ##f'(x)=3 x^2##, ##f''(x)=6x##, ##f'''(x)=6##. The 1st derivative vanishes at ##x=0## and there also ##f''(0)=0## but ##f'''(0) \neq 0##. Obviously the graph of the function has a saddle-point, i.e., a tangent with vanishing slope but no extremum in ##x=0##.

In the same way, you find that ##f(x)=x^4## has a tangent of vanishing slope at ##x=0## with ##f''(0)=0## but also ##f'''(0)=0## and ##f^{(4)}(0)=24>0##, i.e., a minimum at ##x=0##.
 
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