F doesn't have in (0,0) a local minimum

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Discussion Overview

The discussion revolves around the function $\displaystyle{f(x,y)=y^2-3x^2y+2x^4}$ and whether it has a local minimum at the point $(0,0)$. Participants explore the implications of the gradient and Hessian matrix at this critical point, as well as the behavior of the function along specific curves.

Discussion Character

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

Main Points Raised

  • One participant calculates the gradient and Hessian matrix at $(0,0)$, noting that the Hessian is positive semidefinite, which suggests a minimum or saddle point.
  • Another participant questions the relevance of examining the behavior of $f$ at infinity, suggesting that identifying all critical points and their function values may provide more insight.
  • A different participant proposes analyzing the function along specific curves, indicating that one curve leads to a minimum while another leads to a maximum at $(0,0)$, suggesting it is a saddle point.
  • Further, it is noted that there are two critical points, with one yielding a negative function value, indicating a direction of descent.

Areas of Agreement / Disagreement

Participants express differing views on how to determine the nature of the critical point at $(0,0)$. While some agree on the conclusion that it is a saddle point based on the behavior along different curves, others emphasize the need to analyze all critical points, indicating that the discussion remains unresolved.

Contextual Notes

There is uncertainty regarding the implications of the Hessian being positive semidefinite and the significance of multiple critical points in determining the nature of $(0,0)$. The discussion does not resolve these complexities.

mathmari
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Hey! :giggle:

We have the function $\displaystyle{f(x,y)=y^2-3x^2y+2x^4}$ and the function $\displaystyle{g_v(t)=f(tv_1, tv_2)=t^2v_2^2-3t^3v_1^2v_2+2t^4v_1^4}$.

I have shown that $g$ has a local minimumat $t=0$

I want to show that $f$ has not a local minimum in $(0,0)$.

The gradient is \begin{equation*}\nabla f=\begin{pmatrix}-6xy+8x^3 \\ 2y-3x^2\end{pmatrix}\end{equation*} Acritical point is $(0,0)$, since $\displaystyle{\nabla f\begin{pmatrix}0 \\ 0\end{pmatrix}=\begin{pmatrix}0 \\ 0\end{pmatrix}}$.
The Hessian matrix is \begin{equation*}H_f(x,y)=\begin{pmatrix}f_{xx} & f_{xy}\\ f_{yx} & f_{yy}\end{pmatrix}=\begin{pmatrix}-6y+24x^2 & -6x\\ -6x & 2\end{pmatrix}\end{equation*}
The matrixin in $(0,0)$ is
\begin{equation*}H_f(0,0)=\begin{pmatrix}0 & 0\\ 0 & 2\end{pmatrix}\end{equation*}
The eigenvalues are, $\lambda_1=0$, $\lambda_2=2>0$. These are non-negativ, so the Hessian matrix is positiv semidefinite.
That means that $f$ has in$(0,0)$ either a minimum or a saddle point.

Is that correct so far? Now we have to show that in $(0,0)$ has a sddle point and not a minimum, right? But how? :unsure:
 
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Hey mathmari!

In this case it does not work to look at what $f$ does at infinity, since there is more than 1 critical point.
Can we find all critical points and find the function values at those critical points? 🤔
 
Klaas van Aarsen said:
In this case it does not work to look at what $f$ does at infinity, since there is more than 1 critical point.
Can we find all critical points and find the function values at those critical points? 🤔

How does it help to check what kind of point we have at $(0,0)$ when we know all critical points? I got stuck right now. :unsure:
 
Can we do also the following?

We consider the curves \begin{align*}&g(y)=f(0,y)=y^2\\ &h(x)=f(x,\frac{3}{2}x^2)= -\frac{x^4}{4}\end{align*}
Along the curve $g$ we go falling to a minimum at the origin but along the curve $h$ we go rising to a maximum at the origin.

This means that $(0,0)$ is a sattle point.

:unsure:
 
Yep. That works. (Nod)
We've found a direction up and a direction down.

Turns out there are 2 critical points. The 2nd one has a negative value, which implies that there is a direction down. 🧐
 

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