Scalar product of position vectors

AI Thread Summary
To find the minimum and maximum distances between position vectors, the key is to analyze the function f(t) representing the distance. Differentiation is essential, as extrema occur where the derivative f'(t) equals zero. The term r.r signifies the square of the vector's length, which corresponds to the square of the distance between particles. Minimizing or maximizing the distance can be simplified by focusing on minimizing or maximizing this squared distance instead. Understanding these concepts is crucial for solving the problem effectively.
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Suppose, in general, that you have a function f(t). How do you find its minimum and maximum (i.e. the extrema)?

[Hint: it involves differentiation]
 
find values of t for f'(t) =0

I don't understand the significance of r.r, however.

Thanks
 
Well, r is the vector that describes the difference in position.
r . r is the square of its length. So the square of the distance between the particles.

Note that minimizing (maximizing) the distance is equivalent to minimizing (maximizing) the square of the distance.
 
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