Proving Convexity of f(x,y) = XαYβ

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SUMMARY

The function f(x,y) = XαYβ is under examination for convexity. To establish convexity, the second derivative test is applied, specifically checking if f''(x,y) > 0. The discussion highlights the differentiation steps taken to compute the second derivative, emphasizing the need for simplification to confirm its positivity. The inquiry also raises the question of whether the definition of convexity can be utilized alongside the second derivative test.

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Homework Statement



f(x,y) = X\alphaY\beta

(that's X to the power of alpha, Y to the power of Beta)

Is this function convex? Prove it.

Homework Equations



f''(x,y) > 0 ==>convexity

The Attempt at a Solution




My steps are as follows:

f(X,Y) = (X^a)(Y^ß)

f’(X,Y) = (aX^a-1)(Yb) + (X^a)(bY^b-1)

f’’(X,Y) = ((a^(2)-a)X^a-2)(Yb) + (aX^a-1)(bY^b-1) + (aX^a-1)(bY^b-1) + (X^a)((b^(2)-b)Y^b-2)

I'm just trying to simplify it to prove it is greater than 0 (or not). Is my work correct so far and how can I be sure the second derivative is indeed positive? Thanks a lot.
 
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3.141592654 said:
f(x,y) = X\alphaY\beta

Is this function convex? Prove it.

f''(x,y) > 0 ==>convexity

Hi 3.141592654! :smile:

(have an alpha: α and a beta: β :smile:
… and look above the reply box for the X2 tag :wink:)

What is your ' differentiating with respect to? :confused:

You have a 3-D surface, with two variables. :wink:
 
Is it possible to use the definition of convexity to show a function is convex? Or do you just have to show the 2nd derivative is positive for all x?

Dave
 

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