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@ -123,3 +123,7 @@ Then the solution is
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$$\vec{x}(t) = e^{\bf{A}t}\vec{c} + e^{\bf{A}t} \int_{t_0}^t e^{-\bf{A}I} F(T) \delta T$$
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$$\vec{x}(t) = e^{\bf{A}t}\vec{c} + e^{\bf{A}t} \int_{t_0}^t e^{-\bf{A}I} F(T) \delta T$$
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Then using the Laplace transform:
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Then using the Laplace transform:
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$$e^{\bf{A}t} = \mathcal{L}^{-1} \{ (sI-\bf{A})^-1 \} $$
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$$e^{\bf{A}t} = \mathcal{L}^{-1} \{ (sI-\bf{A})^-1 \} $$
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# Written Notes
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![[How do we deal with nonlinearities?.png]]
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![[Mode Diagram.png]]
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@ -12,6 +12,8 @@ Recall that equilibrium points are fixed. P = Q = 0
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| Unstable | Trajectories diverge from a point |
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| Unstable | Trajectories diverge from a point |
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| Linear Center | An equilibrium point that has orbits around it |
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| Linear Center | An equilibrium point that has orbits around it |
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| Limit Cycle | Happens a lot with nonlinear systems. Trajectories are pulled some target trajectory and stay there. |
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| Limit Cycle | Happens a lot with nonlinear systems. Trajectories are pulled some target trajectory and stay there. |
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# Written Notes
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![[LINE Systems in the Plane.png]]
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**Documentation**
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**Documentation**
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- [x] ME2016 Week 3 Class ⏳ 2024-09-16 ✅ 2024-09-16
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- [x] ME2016 Week 3 Class ⏳ 2024-09-16 ✅ 2024-09-16
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@ -103,3 +103,8 @@ $$ {\bf J} =
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\left[ \matrix{ \beta -2\delta x - \gamma y & -\gamma x\\ - c y & b - 2dy - cx} \right]
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\left[ \matrix{ \beta -2\delta x - \gamma y & -\gamma x\\ - c y & b - 2dy - cx} \right]
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$$
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$$
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Now we can actually do stuff with this in python instead of by hand.
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Now we can actually do stuff with this in python instead of by hand.
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# Written Notes
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![[Nonlinear Planar Systems.png]]
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