Calculus III: Confused about Critical Points of f(x,y)?

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Discussion Overview

The discussion revolves around understanding the classification of critical points for the function f(x,y) = 5 - 10xy - 4x² + 3y - y⁴, as part of a Calculus III assignment. Participants explore the concepts of partial derivatives, the discriminant, and the classification of critical points as minima, maxima, or saddle points.

Discussion Character

  • Homework-related
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the assignment, questioning the meaning of classifying critical points and the relevance of partial derivatives.
  • Another participant clarifies that critical points should be classified as minima, maxima, or saddle points.
  • A participant explains that the discriminant D is calculated using the second partial derivatives and indicates its role in determining the nature of critical points.
  • It is noted that D is related to the Hessian matrix, which is described as a determinant of the second partial derivatives.
  • One participant humorously suggests looking up "critical point" in the textbook, implying that the information is readily available.

Areas of Agreement / Disagreement

Participants generally agree on the classification of critical points and the use of the discriminant, but there is a lack of consensus on the participant's understanding of the concepts involved, as one expresses confusion while others provide explanations.

Contextual Notes

Some participants mention the need for further clarification on the concept of partial derivatives and the discriminant, indicating that the discussion may depend on the definitions and understanding of these terms.

Pengwuino
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Ok so i got a mathematica assignment that asks "Find and classify the critical points of [tex]f(x,y)= 5-10xy-4x^2+3y-y^4[/tex]

What does this mean lol. The assignment was from 3 weeks ago and i just had spring break so my brain is completely outa wack. Does this mean classify the points as concave up and down or what? This is calculus III by the way. If someone can just lol, tell me what I am being asked that would be great.

In the exercise before it we found fxx and fyy and fxy of a similar equation and then we found fxx*fyy - (fxy)^2. I am so lost lol. What is this partial derivative thing. Whats the fxx partial derivative * fxy - (fxy)^2 all about? I feel so dumb, my high school calculus teacher would be so dissappointed!
 
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Classify the critical points as minima, maxima, or saddle points.

A partial derivative is a derivative of a function of multiple variables taken as if all but one of the variables are held constant (well, in some cases it's slightly more complicated. But just slightly!).

For a differentiable function [itex]f(x,y)[/itex] of two real variables with equal mixed second partial derivatives (ie. [tex]\frac{\partial^2 f}{\partial x \partial y} = \frac{\partial^2 f}{\partial y \partial x}[/tex]), the quantity

[tex]\frac{\partial^2 f}{\partial x^2}\frac{\partial^2 f}{\partial y^2} - \left(\frac{\partial^2 f}{\partial x \partial y}\right)^2 = D[/tex]

is called the discriminant of [itex]f[/itex]. If [itex]P = (x_0, y_0)[/itex] is a critical point of [itex]f[/itex], then [itex]P[/itex] is a minimum or maximum if [itex]D>0[/itex] and a saddle point if [itex]D<0[/itex], where [itex]D[/itex] is evaluated at [itex]P[/itex]. If [itex]D=0[/itex] then it tells you nothing. These facts can be proved using from the Taylor expansion of [itex]f[/itex] for analytic functions.
 
Relative minima,maxima & saddle points.

And that "D" is actually the functions's hessian.It's a determinant

[tex]D=\left|\begin{array}{cc}\frac{\partial^{2}f}{\partial x\partial x}&\frac{\partial^{2}f}{\partial x\partial y}\\ \frac{\partial^{2}f}{\partial y\partial x}&\frac{\partial^{2}f}{\partial y\partial y}\end{array}\right|[/tex]

Daniel.
 
I would say it means "open your textbook and look up "critical point" (or "critical number")! It's not spring break anymore!
 
It is to me,that's why I'm on PF...:-p

Daniel.
 

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