Calculation of extrema points

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Given is the function $f(x,y) = 3x^2y+4y^3-3x^2-12y^2+1$

I'm looking for the extrema points. Therefore I calculated $f_x(x,y)= 6xy-6x$ and $f_y(x,y)=3x^2+12y^2-24y$ and set them to zero to find the possible points. I got the points: $P_1=(2,1)$, $P_2=(-2,1)$, $P_3=(0,0)$, $P_4=(0,2)$

Now I want to check if they are extrema points or not. Therefore I used the hessian matrix $H_f = \left[\begin{array}{c} f_{xx} & f_{xy}\\ f_{yx} & f_{yy}\\ \end{array}\right] = \left[\begin{array}{c} 6y-6 & 6x\\ 6x & 24y-24 \\ \end{array}\right]$

When I calculate the determinante of the matrix for every point, I get:

$P_1=(2,1): det(H_f)= (6*1-6) *(24*1-24) -(6*2*6*2)=0-12*12$ which is $< 0$ and should therefore be a Maximum.

$P_2=(-2,1): det(H_f)= 0 -(-12*(-12))$ which is $< 0$ and should therefore be a Maximum.

$P_3=(0,0): det(H_f)= (-6) *(-24)$ which is $> 0$ and should therefore be a Minimum.

$P_4=(0,2): det(H_f)= (6*24)$ which is $> 0$ and should therefore be a Minimum.

But when I type my function in wolfram alpha to check my result, it only mentions the points $(0,0)$ as a Maximum and $(0,2)$ as a Minimum. In my calculation $(0,0)$ is a Minimum and I got two more extrema points. So what have I done wrong?

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When the determiant of the hessian is negative, it means the eigenvalues are of opposite sign and hence it is indefinite. It is a saddle point.

At point $(0,0)$ the $(1,1)$-entry of the Hessian is negative. Since the determinant is positive, both of the eigenvalues are negative. The hessian is negative defintie and hence it is a maximum point.

At point $(0,0)$ the $(1,1)$-entry of the Hessian is positive. Since the determinant is positive, both of the eigenvalues are positive. The hessian is positive defintie and hence it is a minimum point.

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Given: $f(x,y)=3x^2y+4y^3-3x^2-12y^2+1$

FOC: $$\begin{cases}f_x=6xy-6x=0\\ f_y=3x^2+12y^2-24y=0\end{cases} \Rightarrow \\ 1) \ \begin{cases}x=0 \\ 12y^2-24y=0\end{cases} \ \ \text{or} \ \ 2) \begin{cases}y=1\\ 3x^2-12=0\end{cases} \Rightarrow \\ 1) \ (x_1,y_1)=(0,0); (x_2,y_2)=(0,2);\\ 2) \ (x_3,y_3)=(-2,1); (x_4,y_4)=(2,1).$$ SOC: $$H=\begin{vmatrix}6y-6&6x \\ 6x&24y-24\end{vmatrix}$$ At $(0,0)$: $H_1=-6<0; H_2=144>0 \Rightarrow f(0,0)=1$ is maximum;

At $(0,2)$: $H_1=6>0; H_2=144>0 \Rightarrow f(0,2)=-15$ is minimum;

At $(-2,1)$: $H_1=0; H_2=-144<0 \Rightarrow f(-2,1)=-7$ is a saddle point;

At $(2,1)$: $H_1=0; H_2=-144<0 \Rightarrow f(2,1)=-7$ is a saddle point.

Reference: Second derivative test.