Relation between simple critical points of Hamiltonian and gradient systems

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I'm doing some exercices to see how are related the hamiltonian and the gradient systems. I did an exercise, but I don't know if my approach is correct and I have a few questions about it. Let's state it:

Let $H:\mathbb{R}^2 \to \mathbb{R}$ be a $C^2$ function. We consider the Hamiltonian:

\begin{cases}\dot{x}=-\frac{\partial H(x,y)}{\partial y}\\ \dot{y}=\frac{\partial H(x,y)}{\partial x}\end{cases}

and the gradient systems:

\begin{cases}\dot{x}=\frac{\partial H(x,y)}{\partial x}\\ \dot{y}=\frac{\partial H(x,y)}{\partial y}\end{cases}

a) Given an ODE on the plane, we'd say that a simple critical point is a critical point whose eigenvalues are different of $0$. Prove that if we have a simple critical point for one of those systems, it's also a simple critical point for the other one.

So here's my try:

Let's suppose that we have a simple critical point for a hamiltonian system. We know that if $(x,y)$ is a simple critical point, we have

\begin{cases}\dot{x}=-\frac{\partial H(x,y)}{\partial y}=0\\ \dot{y}=\frac{\partial H(x,y)}{\partial x}=0\end{cases}

It's straightforward that:

\begin{cases}\frac{\partial H(x,y)}{\partial x}=0\\ \frac{\partial H(x,y)}{\partial y}=0\end{cases}

so it's a simple critical point of the gradient system too.

It's correct?

The condition of "simple" means that $(x,y)\neq (0,0)$?

Thanks.

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Given a system \begin{cases} \dot x = F^1(x, y),\\ \dot y=F^2(x, y) \end{cases} and a critical point $(x_0, y_0)$, we consider the Jacobian matrix

$$ DF(x_0, y_0) = \begin{pmatrix} F^1_x(x_0,y_0) & F^2_x(x_0,y_0) \\ F^1_y(x_0,y_0) & F^2_y(x_0,y_0) \end{pmatrix}$$

the critical point is called simple, if the eigenvalue of this matrix are both nonzero. Note that this is the same as saying that $DF$ has nonzero determinant.

Now you are given both the Hamiltonian system $(Ha)$ and the gradient system $(G)$ of a function $H$. You checked already that $(x_0, y_0)$ is critical point of $(Ha)$ iff it is a critical point of $(G)$.

Now try to calculate the Jacobian matrix of both system. For the gradient system, you would get the Hessian matrix of $H$. For the Hamiltonian system, you got a very similar matrix. You can check that they have the same determinant.