Which one of these systems has a periodic solution? Support your claims a) dx/dt=x^2-xy and dy/dt=y^2+xy+1 b) dx/dt= 3x^3+sin(y) and dy/dt= (x^4)y+y+tan-inverse(x)
@SithsAndGiggles ok I know you have started this question for me before and I have tried working it several times since but I feel utterly stuck. Is there any way we can do this together and you show me the steps I'm supposed to be taking? I can't seem to work the rest of the problems in this section if I cannot work one like this. Thanks!
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I'll continue from where I left off. If you need a refresher on the process for getting to this point, refer to your previous post: http://openstudy.com/users/kdekle#/updates/54579a30e4b01024cba6e1e3 Also, it would probably be a good idea to brush up on any definitions you might not be familiar with. This link also gives a mostly worked out example: http://www.mcs.csueastbay.edu/~malek/Class/nonlinear.pdf Using the equilibrium point \((0,1)\): \[\begin{pmatrix}x\\y\end{pmatrix}'=\begin{pmatrix}0&0\\-1&2\end{pmatrix}\begin{pmatrix}x\\y\end{pmatrix}\] Find the eigenvalues and -vectors: \[\begin{vmatrix}-\lambda&0\\-1&2-\lambda\end{vmatrix}=\lambda(\lambda-2)=0~~\implies~~\lambda_1=0,~\lambda_2=2\] For \(\lambda_1=0\), \[\begin{pmatrix}0&0\\-1&2\end{pmatrix}\begin{pmatrix}\eta_{1,1}\\\eta_{1,2}\end{pmatrix}=\begin{pmatrix}0\\0\end{pmatrix}~~\implies~~\eta_{1,1}=2\eta_{1,2}\] which gives an eigenvector \(\vec{\eta}_1=\begin{pmatrix}2\\1\end{pmatrix}\). For \(\lambda_2=2\), \[\begin{pmatrix}-2&0\\-1&0\end{pmatrix}\begin{pmatrix}\eta_{2,1}\\\eta_{2,2}\end{pmatrix}=\begin{pmatrix}0\\0\end{pmatrix}~~\implies~~\eta_{2,1}=0,~\eta_{2,2}\in\mathbb{R}\] which gives an eigenvector \(\vec{\eta}_2=\begin{pmatrix}0\\1\end{pmatrix}\). From here you can find a general solution, which will help you set up a phase portrait but only around the point \((0,1)\).
but since there are 4 equilibrium points I need to do this process for all of them?
Yes, find all the local solutions. Then, if I'm reading the pdf link correctly, you essentially compile the individual phase portraits.
ok I will try again tomorrow! Thanks
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