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gibson:teaching:spring-2016:iam950:hw2 [2016/04/01 10:26] gibson |
gibson:teaching:spring-2016:iam950:hw2 [2016/04/05 11:24] (current) gibson |
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====== IAM 950 HW2 ====== | ====== IAM 950 HW2 ====== | ||
- | You job for HW2 is to compute all periodic orbits of the Lorenz ODE up to period 4 and produce a plot for each, like these. | + | For this HW, you have a choice: compute periodic orbits of the Lorenz or the Rössler system. I demoed Lorenz in class, but you will learn a lot doing the numerics for yourself. Or you can do Rössler --it's simpler in a number of ways, but it would be more of an adventure into the unknown. |
+ | |||
+ | ---- | ||
+ | |||
+ | ** Choice 1: The Lorenz system** | ||
+ | |||
+ | Compute all periodic orbits of the Lorenz ODE up to period 4 and produce a plot for each, like these. | ||
{{:gibson:teaching:spring-2016:iam950:period2orbit.png?direct&400|}}{{:gibson:teaching:spring-2016:iam950:period3orbit.png?direct&400|}} | {{:gibson:teaching:spring-2016:iam950:period2orbit.png?direct&400|}}{{:gibson:teaching:spring-2016:iam950:period3orbit.png?direct&400|}} | ||
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**Step 6:** Compute the periodic orbit, either approximately by adjusting $\eta$ until the trajectory very nearly lands back on its starting point, or better, by setting up a function $(x(t+T), y(t+T), z(t+T)) = \phi(x(t),y(t),z(t),T)$ which maps $x,y,z$ forward time $T$ under the Lorenz dynamics, using numerical integration, and then applying a nonlinear numerical solution method to find a zero of the function $\phi(x,y,z,T) - (x,y,z)$. | **Step 6:** Compute the periodic orbit, either approximately by adjusting $\eta$ until the trajectory very nearly lands back on its starting point, or better, by setting up a function $(x(t+T), y(t+T), z(t+T)) = \phi(x(t),y(t),z(t),T)$ which maps $x,y,z$ forward time $T$ under the Lorenz dynamics, using numerical integration, and then applying a nonlinear numerical solution method to find a zero of the function $\phi(x,y,z,T) - (x,y,z)$. | ||
+ | ---- | ||
+ | |||
+ | ** Choice 2: The Rössler system** | ||
+ | |||
+ | Compute the first four or five periodic orbits of the Rössler system | ||
+ | |||
+ | \begin{eqnarray*} | ||
+ | \dot{x} = -y - z \\ | ||
+ | \dot{y} = x + a y \\ | ||
+ | \dot{z} = b + z(x-c) | ||
+ | \end{eqnarray*} | ||
+ | |||
+ | with $a= b = 0.1$ and $c=14$. A long trajectory of the Rössler system looks like this | ||
+ | |||
+ | {{ :gibson:teaching:spring-2016:iam950:rossler.png?direct&500 |}} | ||
+ | |||
+ | **Step 1:** Find the equilibria and the eigenvalues of the equilibrium near the origin. What is the | ||
+ | period of the revolution about the equilibrium and the growth factor per revolution? | ||
+ | |||
+ | |||
+ | **Step 2:** Let the $x=0$ plane define a Poincare section. Trajectories crossing this plane with $x$ increasing will have $z$ very nearly zero, so the value of $y$ at $x=0$ serves as a good coordinate for a 1d return map. The above picture has a black line drawn from $-22 \leq y \leq -8$ with $x=z=0$. Figure out a good parameterization to $\eta = [0,1]$ of a subset of this line and construct a 1d return map by integrating trajectories from points on it. | ||
+ | **Step 3:** Approximate the numerical return map from step 2 with an analytic function, then use the fixed points of higher-order iterates of the return map to get initial guesses for periodic orbits. | ||
+ | **Step 4:** Find periodic orbits numerically by solving a nonlinear equation as described in step 6 for Lorenz. |