Can someone familiar with ODE's help me work through this problem? Consider the system of differential equations in \(\mathbb{R}^3\) given by \[x'=(\epsilon x+2y)(z+1)\]\[y'=(-x+\epsilon y)(z+1)\]\[z'=-z^3\]where \(\epsilon\) is a parameter. I want to describe the stability of is equilibria.
so first I do \[x'=0\]\[y'=0\]\[z'=0\]and find that the only equilibrium point is \((0,0,0)\)
Now I linearized the system, and got \[\left[\begin{matrix}x'\\y'\\z'\end{matrix}\right]=\left[\begin{matrix}\epsilon & 2 & 0 \\ -1 &\epsilon &0 \\ 0&0&0\end{matrix} \right] \left[\begin{matrix} x \\ y \\ z \end{matrix}\right]\]
eigenvalues are \(\epsilon\pm\sqrt{2}i\) and 0
my book says that from linearization we can only conclude that the origin is unstable if \(\epsilon>0\). Because when, \(z=0\), the x,y-plane is invariant and the system is linear on this plane.
I was wondering if anyone could explain to me how I know this and what it means...
been a while richy. let me refresh my memory
oh yea.. the Jacobian. duh. :)
so, what this tells us graphically is how the system changes with respect to each variable. remembering from 1D cases, when the Jacobian becomes "0", the function has a critical value with repect to that variable.. in other words, invarient. z=0 is the equation for XY plane.
Now, about roots for stability: if the roots are positive, function is continuously increasing -> unstable if negative, decreasing -> stable if zero, saddle point. COMPLEX -> goes beating round the bush positive real part -> goes round with increasing radius -> unstable negative real part -> goes round with decreasing radius and finally converges -> stable purely imaginary -> the radius does not change but goes cyclic -> marginally stable
this root criterion for stability of DEs has been interpreted and explained by many people in many different ways suiting the applications; but this is the central theme for all.
thanks!
yw
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