Economics Student Seeks Answer: Derivatives Question

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Discussion Overview

The discussion revolves around the mathematical properties of functions related to economics, specifically focusing on the convexity and concavity of derived functions from a given utility function. Participants explore the implications of partial derivatives and their geometric interpretations in the context of indifference curves.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant describes the function U(x,y) = x^0.5y^0.5 and its derived constant functions as convex to the origin, while the function V = U^4 = (x^2)(y^2) is described as concave to the origin.
  • Another participant questions the terms "concave to the origin" and "convex to the origin," suggesting that the curves defined by V and U are essentially the same in certain quadrants.
  • A participant provides specific examples of the functions, asserting that the derived curves from U and V cannot have the same slope for all x, despite having the same ratio of partial derivatives (y/x).
  • One participant corrects a misunderstanding regarding the representation of the function V, clarifying the relationship between the equations and the nature of the curves.
  • A later reply expresses realization of an earlier mistake and acknowledges the importance of revisiting foundational concepts.

Areas of Agreement / Disagreement

Participants express differing views on the geometric interpretations of the functions and their derived curves. There is no consensus on the implications of the slopes and the nature of the curves, leading to an unresolved discussion.

Contextual Notes

There are limitations in the discussion regarding the definitions of convexity and concavity, as well as the assumptions made about the relationships between the functions and their derivatives. Some mathematical steps remain unresolved.

Jamp
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Hello, I am an economics student but this question is purely mathematical.

Imagine the function U(x,y)=x^0.5y^0.5 ( sqrt(x) times sqrt(y) ) in space. If we then imagine the same function equal to a constant we get the 2d functions corresponding to the intersections of horizontal planes with the original 2 variable function, right? (if anyone here is taking economics, these would be the indifference curves). So that for every constant we get a function that is convex to the origin.
Now imagine the function V=U^4=(x^2)(y^2) in space. If we do the same as above for this one, then for every constant we have a function that is concave to the origin, correct?
The problem arises now. My professor says that, the derivative of the one variable functions (the convex and concave ones, the indifference curves) is the ratio of the partial derivatives of the original 2 variable function, which is always the same if the second is a monotonous increasing transformation of the first. Evidently, for the first one: (0.5x^-0.5y^0.5)/(0.5x^0.5y^-0.5) = y/x and for the second one 2xy^2/2x^2y = y/x. The problem is, if the slopes of the functions are the same for every point, then how come one is convex and the other concave? Can this be true? By drawing the curves I can see that it can, but only if we draw the curves that way. Why is it always true? I need to understand what the ratio of the partial derivatives of the original function means geometrically and logically, what does it represent?

Thanks!
 
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What do you mean by "concave to the origin" and "convex to the origin"? Note the curve defined by V(x,y) = C for some (positive) constant C is symmetrical in the x-z and y-z planes. The restriction of this curve to the x > 0, y > 0 quadrant of space is THE EXACT SAME THING as the curve defined by U(x,y) = C1/4. So they're basically the same types of curves, and so I would assume their either both "concave to (0,0)" or both "convex to (0,0)".
 
What I mean is, take the first function:
U(x,y) = (x^0.5)(y^0.5)
For any constant, for example 10: 10=(x^0.5)(y^0.5) <=> y=100/x is convex to (0,0).
However, 10=(x^2)(y^2) <=> y=sqrt(10-x^2) is concave.
These two different functions can not, as far as I can see, have the same slope for all x. However, both have the same ratio of partial derivatives in x over in y (y/x), which is supposed to be the slope of the curves of the original function for some constant. So how can this be true?
 
Jamp said:
What I mean is, take the first function:
U(x,y) = (x^0.5)(y^0.5)
For any constant, for example 10: 10=(x^0.5)(y^0.5) <=> y=100/x is convex to (0,0).
However, 10=(x^2)(y^2) <=> y=sqrt(10-x^2) is concave.
This is wrong.

[tex]10 = x^2y^2 \Leftrightarrow y = \pm \frac{\sqrt{10}}{x}[/tex]

I think you confused x2y2 with x2+y2.
 
Thanks... I was thinking about it again on my way to school today and realized that, don't know how I did that... always a good idea to restart from the beginning..:redface: :shy:
 

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