Weighted average of arbitrary k points from a line

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SUMMARY

The discussion focuses on the mathematical concept of a weighted barycenter of k arbitrary points, x_i, selected from a straight line in R^2. It establishes that the weighted average, x_o = (o_i * x_i) / (o_1 + o_2 + ... + o_k), remains on the same line provided the weights, o_i, are non-negative and sum to one. The conversation emphasizes that the choice of weights imposes constraints that ensure x_o lies within the convex hull of the points. Furthermore, it is concluded that if the line is unique, the solution for the weights will also be unique, reinforcing the relationship between the weights and the linear equation of the line.

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  • Familiarity with linear equations in R^2.
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  • Basic principles of weighted averages.
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onako
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Suppose a set of k arbitrary points, x_i, 1<=i<=k, x_i from R^2 are selected from a line. How can it be shown that a weighted barycenter x_o=(o_i*x_i)/(o_1+o_2+...+o_k) also belongs to that line (assume o_i are arbitrary weights)? Does the choice of weights restrict the solutions (ie, a particular choice to satisfy that x_o is within the 'convex hull' of other points)?
 
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Hey onako.

If this is a straight line then from this you have n-independent coeffecients (since the o_i's are independent) and since you can specify those then you can choose the coeffecients such that these match the ones of the original line.

If all the x_i's line on a straight-line, then provided that you can pick the o_i's, then you can solve for the particular values of o_i to provide equal coeffecients.

The only thing though about this is that you are dividing by the sum of the all the o_i's which means you lose a degree of freedom and the only way you can get a solution is if you have an extra constraint on the o_i's and this constraint is exactly what is imposed.

If your line is a unique line then the solution in terms of your o_i's should be unique as well since you have a constraint on the sum of the weights which means the scalar multiples should disappear as well (I'm consider scalar multiples of a linear equation).
 
Let's simplify the question. Suppose that non-negative arbitrary weights o_i are associated with each x_i chosen from the straight line. Does x_o lie on that same line? The point is: points x_i are chosen as arbitrary points from the line, and are associated coefficients o_i which are non-negative.
 
Are you looking at the triangle simplex in R^2?
 
I'm concerned with a 2D case, with a straight line.
 
If this line is in R^2 then they need a common gradient: try setting up a simple line based on y - y0 = m(x - x0) where m = (y1 - y0)/(x1 - x0) and showing that the gradient has a common form.

For the bary-centric case the sum of all the weights should be 1 so you can cancel that out, and see if calculating this line gives a common form in terms of the coeffecients.
 
A line in the plane satisfies a vector equation of the form
Nx=a
So if each xi satisfies that equation, you just have to show that a weighted average of them also satisfies that equation. As long as the weights add up to 1 it should work.
 

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