Which of the following is gradient/Hamiltonian( Conservative) system The question that I have to solve is found below. However, I do not know how to start the solution since I am unsure about the defintion of a Gradient/Hamiltonian System. What must I check first to know whether it is a Gradient or Hamiltonian System? 
Which of the following is gradient/Hamiltonian( Conservative) system or other, or neither, and why? And if they are find the potential:
$\dot{x}=-2xe^{-x^2-y^2} \\ 
\dot{y}=-2ye^{-x^2-y^2}$
$\dot{x}= y+x^2y \\
\dot{y}=-x+2xy$
$\dot{x}=y \\
\dot{y}=y^3$
$\dot{x}=y\\
\dot{y}=-y-x^3$
 A: A system of ordinary differential equations of the form 
$$
\dot{x}=f(x,y)\\
\dot{y}=g(x,y)
$$
is called Hamiltonian if there exists a function $H(x,y)$ such that
$$
f(x,y)=\frac{\partial}{\partial y}H(x,y)\\
g(x,y)=-\frac{\partial}{\partial x}H(x,y).
$$
To check if such a function exists, we need to check the following: 
$$
\frac{\partial }{\partial x}f(x,y)+\frac{\partial}{\partial y}g(x,y)=0
$$
Why do we check this?  Well, (assuming that $H$ has continuous second partials), we must have 
$$
\frac{\partial^2H}{\partial x\partial y}=\frac{\partial^2 H}{\partial y\partial x}\\
\Longrightarrow\frac{\partial}{\partial x}f(x,y)=\frac{\partial^2H}{\partial x\partial y}=\frac{\partial^2 H}{\partial y\partial x}=-\frac{\partial }{\partial y}g(x,y)
$$ and hence $f_x+g_y=0$.
On the other hand, a system is called a Gradient system if there is a function $F$ such that 
$$
\dot{X}=-\nabla F
$$ where $X=[x,y]^\intercal$ and $F:\Bbb{R}^2\rightarrow\Bbb{R}$.  Some books will use $\dot{X}=\nabla F$ instead (no negative sign) so watch out for that.
This would mean that we need a function such that $f(x,y)=-\frac{\partial}{\partial x}F$ and $g(x,y)=-\frac{\partial}{\partial y}F$.
One way to check if such a funciton exists is to check if the vector field $\vec{F}(x,y)=f(x,y)\hat{\imath}+g(x,y)\hat{\jmath}$ is path-independent (or conservative).  This is done by checking the condition: 
$$
\frac{\partial}{\partial y}f(x,y)=\frac{\partial}{\partial x}g(x,y)
$$ 
Then, if this holds for all $(x,y)\in\Bbb{R}^2$, you can start constructing a potential $H$; for simple systems, this can usually be done by "inspection".  For more complicated systems, you'll need to go through an integration process to find $H$. For a video on this process, see here.
