Can someone help prove my hunch?

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Discussion Overview

The discussion revolves around the optimization of the product of a finite series of variables given a constant sum. Participants explore whether the product achieves a maximum when all variables are equal, considering both positive and negative values for the variables.

Discussion Character

  • Exploratory
  • Mathematical reasoning

Main Points Raised

  • One participant suggests that if the sum of the series a+b+c+d...+z equals a constant C, then the product a*b*c*d...*z may reach a maximum when all variables are equal.
  • Another participant proposes examining the case of two equal elements to demonstrate that this configuration yields a local maximum for the product, indicating a need to prove it as a global maximum for multiple elements.
  • A later reply acknowledges the clarity of the previous explanation but expresses uncertainty about the time of day affecting their understanding.
  • One participant raises a point about the implications of allowing negative values for the variables, suggesting that this could lead to an unbounded product while maintaining the same sum, which complicates the proof of a global maximum when restricting to non-negative values.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the conditions under which the maximum product occurs, particularly regarding the inclusion of negative values and the implications for the proof of a global maximum.

Contextual Notes

The discussion does not resolve the assumptions regarding the nature of the variables (positive or negative) and how these affect the optimization problem. The exploration of local versus global maxima remains open-ended.

Archosaur
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I have this feeling that
if the sum of the finite series a+b+c+d...+z= some constant C
then the product a*b*c*d...*z has a maximum when a=b=c=d...=z

For example, if C=20, and you just use a,b,c,and d then...
6*6*6*2=432
3*8*8*1=192
5*5*5*5=625 (Maximum)

Can someone prove / disprove this?
 
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No doubt this is a fairly standard optimization problem, but taking this as an opportunity to think about it before rushing to a reference, you can perhaps look at just two elements and start with them being equal, that is

a + a = C,
a * a = P

and then add an amount da > 0 to the first element and subtract it from the other

(a + da) + (a - da) = a + a = C
(a + da) * (a - da) = a2 - da2 < P

So for two elements, having the same value is obviously a (local) maximum for the product and you only need to prove it is global and extend to multiple elements.
 
Filip Larsen said:
(a + da) * (a - da) = a2 - da2 < P

Thanks, this is totally clear to me now. I started doing something like this, but... well... I don't know if it's 4:00 am where you are, but it is, here. Haha, thanks.
 
Note, that if the elements are allowed to be negative (which I presume they are not in your case) it is easy to see that the product can be made arbitrary large for the same sum. For instance, if we take a + b + b = C with an arbitrary a > C this implies that b = (C-a)/2 < 0 and the product P = a*b*b must go to infinity as a goes to infinity. Disallowing negative elements ties into proving that the solution for the maximum product is a global maximum.
 

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