Bifurcation Diagram-confusion I am a bit confused about how the Bifurcation Diagram of a parametric autonomous system $x'=f(x,μ)$ is defined.
For the one dimentional case, I think it is more obvious to me, but still not clear enough: 
For example, if 
$$x'=μ-x^2$$ then the equilibria are:
For $μ=0$ is only the $0$ which is unstable
For $ 0\ltμ$ there are two equilibria $\sqrt{μ}, - \sqrt{μ} $ with the first one unstable and the second stable. 
For  $ μ\lt0$  there are no equilibria.
Now, should the bifurcation diagram be the graph of the functions? $x=0$, $x=\sqrt{μ}$ , $x= - \sqrt{μ} $ ? dotted where the $μ$ gives unstable equilibria? In my book I have a diagram like the following:
Furthermore, what the bifurcation diagram should look like if the system $x'=f(x,μ)$ is planar? My confusion here is what the axis $x$ then should represent...
Thanks.
 A: Consider the equation
$$x' = \mu - x^2$$

*

*If $\mu > 0$, there are two equilibria: $x^* = \pm \sqrt{\mu}$.

*The derivative of the right hand side is $Df(x, µ) = −2x$.

*Evaluating at the fixed points we obtain the following: $Df(\sqrt{\mu},\mu) = -2\sqrt{\mu} \lt 0$, which implies that the equilibrium $x^* = \sqrt{\mu}$ is stable.

*For $Df(−\sqrt{\mu},\mu) = 2\sqrt{\mu} \gt 0$, which means that the equilibrium $x^*
= −\sqrt{\mu}$ is unstable. We can see these visually by plotting $x$ vs. $x'$ as



*

*If $\mu \lt 0$, there are no equilibria.

*When $\mu = 0$, the system has only one quilibrium point, $x^* = 0$. In this case, the equilibrium point is nonhyperbolic, since $Df(0, 0) = 0$, and we cannot use linearization to analyze its stability. A phase portrait, however, can help us in this case. We can see this visually by plotting $x$ vs. $x'$ as



*

*We conclude that the equilibrium point $x^∗ = 0$ is an unstable saddle node.

*This system has a saddle-node bifurcation at $\mu = 0$.

*As an alternate approach, we could have also drawn a phase portrait movie or a phase line to study these stability and bifurcation results.

As for the bifurcation diagram, we can choose various approaches. For example, we can plot $x$ vs. $\mu$ and analyze the stable or unstable branch or we can do a contour plot of $x^*$ vs. $u$ based on the analysis above and arrive at

