Comparing f(sigma(x)) and sigma(f(x))

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Homework Help Overview

The discussion revolves around comparing the expressions sum(f(x_i)) and f(sum(x_i)) for a monotonically increasing and concave downward function f, given that f(0) = 0 and all x_i are positive. Participants are exploring the implications of these properties on the relationship between the sums and the function.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to establish a relationship between the sums using properties of the function and inequalities, including Jensen's inequality. Some participants suggest considering a linear function to explore the relationship further, while others question how to incorporate sigma(f(x_i)) into the existing inequalities.

Discussion Status

The discussion is active, with participants providing different perspectives on the properties of the function and their implications. Some guidance has been offered regarding the use of a linear function, but there is no clear consensus on how to proceed with the inequalities or the relationships being explored.

Contextual Notes

Participants are navigating the constraints of the function's properties, particularly its concavity and monotonicity, while trying to apply inequalities effectively. There is an ongoing examination of assumptions related to the behavior of the function and the sums involved.

Perisona
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Hello,

The function in question has the following properties:

1. Is monotonically increasing
2. Is concave downwards
3. f(0) =0

I was trying to find a relation between sum(f(x_i)) and f(sum(x_i)) i=1 to i=n and all x_i positive.

I tried a few things, including this:

nx>=x
f'(nx)<=f'(x)
integrating 0 to x
(1/n)f(nx)<=f(x)
taking sigma
sum((1/n)f(nx))<=sum(f(x))

i tried using this along with jensen's inequality but couldn't draw any conclusions. Any help would be greatly appreciated.
 
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Think about the linear function L(x)=x*f(sum(x_i))/sum(x_i). L(0)=0, L(sum(x_i))=f(sum(x_i)). But for 0<=x<=sum(x_i), L(x)<=f(x) because of your convexity condition. Can you fill in the rest? You don't need the monotone increasing condition.
 
The function is concave downards f''(x)<0 so shouldn't the L(x) and f(x) relation reverse sign?

Also, how do I introduce a sigma(f(x_i)) into the inequalities?
 
Nooo. The chord to a concave downward function is below the function. Like f(x)=(-x^2). sigma(f(x_i))>=sigma(L(x_i))=L(sigma(x_i)).
 

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