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The process of finding critical points and analyzing their stability using eigenvalues and eigenvectors in the context of systems of differential equations. Setting the equations to zero, finding the linear approximations, calculating eigenvalues and vectors, and graphing the results based on the critical points.
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eigen values graphing imaginary: theta > 0 spiral OUT, unstable theta <0 spiral IN, asymptotically stable if only the imaginary, its in the center, and its stable r1 and r2 both positive = node unstable r1 and r2 both negative = node, asymptotic ally stable 1 positive and 1 negative = saddle point, unstable r1=r2>0, unstable, node r1=r2<0, asmptotically stable section 9.3. let dx/dt=F(x,y) dy/dt=G(x,y) find crit. pts. set dy/dt=0 and dx/dt= then use linear approx. (dF/dx dF/dy ) ( dG/dx dG.dy ) plug in the crit. pts, then find the eigen values and vectors and do the same thing for all the crit. pts. then graph it, and move the graph according to the crit. pts.