Maximizing Potential: Solving for a in a Function with Two Particle Charges

AI Thread Summary
The discussion focuses on calculating the potential function V(a,R) related to two particle charges, qp and qt, and determining the derivative dV/da. Participants emphasize that the maximum occurs when dV/da equals zero, but clarify that R and a are variables, not constants. The importance of using the gradient vector for multivariable functions is highlighted, suggesting that both dV/da and dV/dR need to be considered. Additionally, there is a recommendation to treat R as a constant for the purpose of finding dV/da. The conversation underscores the complexity of multivariable calculus in solving for critical points in the function.
the-rocketman
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I have this function (to calculate potential for classical over-barrier model if you're wondering) where qp and qt are both (different) particle charges:

V(a,R) = -(qp /R) - [qt / (R-a)]

What is dV/da?

The maximum of the function occurs when dV/da = 0, and I need to solve for a. So does solving for a yield R[1 + sqrt(qt/qp)]^-1?

Thanks
 
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the-rocketman said:
I have this function (to calculate potential for classical over-barrier model if you're wondering) where qp and qt are both (different) particle charges:

V(a,R) = -(qp /R) - [qt / (R-a)]

What is dV/da?

use the chain rule.
 
Hm... but it has 2 variables. I haven't had any multivariable calc.
 
what?
try to sketch the function. obviously, the function doesn't have a maximum for any constant R.
what is the question from the beginning?
 
R and a are not constants, they are the variables. the constants are the q values
 
the-rocketman said:
The maximum of the function occurs when dV/da = 0...
That isn't necessarily true for multivariable functions. Instead, you need to see when the gradient vector [dV/da, dV/dR] = 0 and use the discriminant to tell what type of critical point it is.
 
the-rocketman said:
Hm... but it has 2 variables. I haven't had any multivariable calc.

the process is the same. just imagine that R isn't a variable, so long as you want to find dV/da.

(the "d's" should be curly, like so: \partial)
 
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