A How to Find Critical Points of function f(x,y,z)

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The discussion revolves around finding critical points of the function f(x, y, z) = x + yz - xy by analyzing its first partial derivatives. The first partial derivatives yield no definitive critical points due to the conditions set by the equations 1 - y = 0 and y = 0, which do not hold simultaneously. However, it is noted that critical points can be identified along specific lines in the x-z plane and the plane y = 1. The conversation also emphasizes the importance of the Hessian matrix for determining local maxima, minima, and saddle points, with the determinant of the Hessian indicating whether a critical point is degenerate or non-degenerate. Understanding these concepts is crucial for effectively analyzing the behavior of the function around its critical points.
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undefined critical points for first partial derivatives
Hi everybody

If we have not any answers for critical points after first partial derivatives equal to zero, how can we continue to find local MAX, local MIN and Saddle point?. For example: Suppose we have below equations for first partial derivatives:


∂ƒ/∂x = y + 5 , ∂ƒ/∂y = 2z , ∂ƒ/∂z = y
As you can see, for ∇ƒ= 0 , there are not any answers (undefined)
 
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The three first partials are zero at (x, -5, 0) and (x, 0, 0), with x being arbitrary.
 
Gh. Soleimani said:
∂ƒ/∂x = y + 5 , ∂ƒ/∂y = 2z , ∂ƒ/∂z = y
As you can see, for ∇ƒ= 0 , there are not any answers (undefined)

There is a fundamental problem here: \nabla \times (y + 5, 2z, y) = (-1,0,-1) is not zero, so (y + 5, 2z, y) cannot be the gradient of a function.

Mark44 said:
The three first partials are zero at (x, -5, 0) and (x, 0, 0), with x being arbitrary.

y + 5 and y do not vanish simultaneously.
 
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pasmith said:
y + 5 and y do not vanish simultaneously.
Yes, I understand that.
 
Sorry. I think that I took a mistake to introduce the function. First of all, let me write true function as follows:


ƒ(x, y, z) = x +yz - xy


∇ƒ = (1-y) i +(z-x) j + y k

where:

∂ƒ/∂x = 1 - y =0

∂ƒ/∂y = z - x =0

∂ƒ/∂z = y =0

As you can see, there are not any answer for critical point because we have: 1- y =0 , also y =0

My question is: Can we make below H - matrix and evaluate eigenvalues?



H matrix.webp
 

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I agree with your values for the first partials; namely, ##f_x = 1 - y, f_y = z - x; f_z = y##, but I disagree that there are no critical points.

The three first partials are zero at on the sets of points {(x, 0, x)} and {(x, 1, x)}, where x is arbitrary. The first set is a line in the x-z plane and the second set is a line in the plane y = 1.

Setting the first partials to zero results in the following matrix equation, but I'm not sure that doing this is helpful or why you need to find eigenvalues.

##\begin{bmatrix} 0&1&0 \\1&0&-1 \\0 & 1& 0\end{bmatrix} \begin{bmatrix} x\\y \\ z\end{bmatrix} = \begin{bmatrix} 1\\ 0 \\ 0\end{bmatrix}##
 
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Mark44 said:
I agree with your values for the first partials; namely, ##f_x = 1 - y, f_y = z - x; f_z = y##, but I disagree that there are no critical points.

The three first partials are zero at on the sets of points {(x, 0, x)} and {(x, 1, x)}, where x is arbitrary. The first set is a line in the x-z plane and the second set is a line in the plane y = 1.

Setting the first partials to zero results in the following matrix equation, but I'm not sure that doing this is helpful or why you need to find eigenvalues.

##\begin{bmatrix} 0&1&0 \\1&0&-1 \\0 & 1& 0\end{bmatrix} \begin{bmatrix} x\\y \\ z\end{bmatrix} = \begin{bmatrix} 1\\ 0 \\ 0\end{bmatrix}##
Thank you so much for your answer.

Finally, I need to obtain local minimum, local maximum and saddle points. As you know, we have to use Hessian matrix which will be made by second derivative. In fact, to examine eigenvalues of H - matrix in critical point says to us where is local minimum and local maximum.

2.webp
 
##|H| = \begin{vmatrix} 0&1&0 \\1&0&-1 \\0 & 1& 0\end{vmatrix}## does not depend on the values of x, y, or z. What do you get for |H|?

According to this wiki article, https://en.wikipedia.org/wiki/Hessian_matrix, if det(H) = 0 at a critical point, the critical point is degenerate. If det(H) is not 0, the critical point is non-degenerate.
 
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