Maximize multivariable function with infinite maxima

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Discussion Overview

The discussion revolves around maximizing a specific 2-variable function with respect to a variable z. Participants explore different methods for finding the maxima, including transformations to polar coordinates and the application of the second partial derivative test. The context includes both theoretical and practical approaches to optimization in multivariable calculus.

Discussion Character

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

Main Points Raised

  • One participant seeks guidance on maximizing a 2-variable function and notes that the solutions will form a circle around the point (2,3).
  • Another participant suggests transforming the problem to one dimension using polar coordinates, given the circular nature of the solutions.
  • A different participant expresses a preference for solving the problem in Cartesian coordinates, indicating that the function may have additional complexity in its full form.
  • One participant introduces the second partial derivative test and describes how to use the Hessian matrix to determine local maxima, minima, or saddle points based on critical points.

Areas of Agreement / Disagreement

Participants have differing opinions on the preferred method for solving the problem, with some advocating for polar coordinates and others for Cartesian coordinates. The discussion remains unresolved regarding the best approach to maximize the function.

Contextual Notes

The discussion does not clarify the specific assumptions or definitions related to the function being maximized, nor does it resolve the mathematical steps involved in applying the second partial derivative test.

Patrick94
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Could someone walk me through how to maximize this 2-variable function wrt z?

http://www.wolframalpha.com/input/?...)^2)))+-+100/(1+(root+((x-2)^2+++(y-3)^2))^2)

I know the set of solutions will form a circle around the point (2,3). How do I go about finding the set of maxima that form this circle/the equation of this circle?

(I am a complete math novice)!

Thanks
 
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Well, if you know that the set of solutions form a circle, then you can transform the problem to one dimension by changing to a polar coordinate system, no?
 
I want to be able to solve in Cartesian coordinates, I think, since this is the very simplified form of a function which will contain many more terms.
 
In general, you can try the second partial derivative test.

Let \vec H_k(f(\vec x)) be the Hessian matrix of the function f(\vec x) (evaluated at \vec x) of the k first variables, where k = 1, 2, 3, ... , n.

If you're function is f(\vec x) then the critical point \vec p, i.e. \nabla f(\vec p) = \vec 0, is a local minimum if \forall k : |\vec H_k(f(\vec p))| > 0 and a local maximum if \forall k : (-1)^k |\vec H_k(f(\vec p))| > 0. For all other cases, \vec p is a saddle point unless |\vec H_n(f(\vec p))| = 0, for which the test is inconclusive.
 

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