/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 11 (Nonlinear terms can change a st... [FREE SOLUTION] | 91Ó°ÊÓ

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(Nonlinear terms can change a star into a spiral) Here's another example that shows that borderline fixed points are sensitive to nonlinear terms. Consider the system in polar coordinates given by \(\dot{r}=-r, \dot{\theta}=1 / \ln r\) a) Find \(r(t)\) and \(\theta(t)\) explicitly, given an initial condition \(\left(r_{0}, \theta_{0}\right)\). b) Show that \(r(t) \rightarrow 0\) and \(|\theta(t)| \rightarrow \infty\) as \(t \rightarrow \infty\). Therefore the origin is a stable spiral for the nonlinear system. c) Write the system in \(x, y\) coordinates. d) Show that the linearized system about the origin is \(\dot{x}=-x, \dot{y}=-y\). Thus the origin is a stable star for the linearized system.

Short Answer

Expert verified
In summary, given the polar coordinate system with the equations \(\dot{r} = -r\) and \(\dot{\theta} = \frac{1}{\ln r}\), we find the general solutions to be \(r(t) = r_0 e^{-t}\) and \(\theta(t) = -\ln(\ln r_0 - t) + \theta_0\). As \(t \rightarrow \infty\), the system becomes a stable spiral with \(r(t) \rightarrow 0\) and \(\theta(t) \rightarrow \infty\). Transforming the system into Cartesian coordinates, we have \(\dot{x} = -r \cos \theta - r \frac{1}{\ln r} \sin \theta\) and \(\dot{y} = -r \sin \theta + r \frac{1}{\ln r} \cos \theta\). Linearizing the system at the origin, we get \(\dot{x} = -x\) and \(\dot{y} = -y\), which represents a stable star.

Step by step solution

01

Solving for r(t) and θ(t) given their respective differential equations and initial conditions

Given the differential equations \(\dot{r} = -r\) and \(\dot{\theta} = \frac{1}{\ln r}\), we can first solve the r equation. It's a first-order linear differential equation: 1. Separate variables: \(\frac{dr}{dt} = -r\). 2. Integrate both sides: \(\int \frac{1}{r} dr = \int -1 dt\). 3. Solve the integrals: \(\ln|r| = -t + C\). 4. Take the exponent of both sides: \(|r| = e^{-t+C}\). 5. Since \(|r| = r_0\) when \(t = 0\), we can find the constant C: \(e^C = r_0\). 6. The general solution of r(t) is \(r(t) = r_0 e^{-t}\). Now, we will solve the θ(t) equation, which is a first-order linear differential equation: 1. Substitute the result of r(t) into the equation: \(\frac{d\theta}{dt} = \frac{1}{\ln (r_0 e^{-t})}\). 2. Simplify the equation: \(\frac{d\theta}{dt} = \frac{1}{\ln r_0 - t}\). 3. Separate variables: \(d\theta = \frac{1}{\ln r_0 - t} dt\). 4. Integrate both sides: \(\int d\theta = \int \frac{1}{\ln r_0 - t} dt\). 5. Solve the integral on the right side using substitution method (let \(u = \ln r_0 - t\)) and find the general solution for θ(t): \(\theta(t) = -\ln(\ln r_0 - t) + \theta_0\).
02

Determine the behavior of the r(t) and θ(t) functions as t → ∞

With the general solutions of r(t) and θ(t) found in Step 1, we can determine their behavior as t → ∞: a) The r(t) function: As t → ∞, the exponential term \(e^{-t}\) approaches 0, so \(r(t) \rightarrow 0\). b) The θ(t) function: As t → ∞, the term \(\ln r_0 - t\) approaches \(-\infty\). Therefore, we have \(\ln(-\infty) = -\infty\). Thus, \(|\theta(t)| \rightarrow \infty\). As r(t) approaches 0 and θ(t) approaches infinity, the system becomes a stable spiral.
03

Write the system in Cartesian coordinates

To change the system from polar coordinates to Cartesian coordinates, we use the following transformations: \(x = r \cos \theta\) and \(y = r \sin \theta\) Taking their time derivatives, we will get: \(\dot{x} = \frac{dx}{dt} = \dot{r}\cos\theta - r\dot{\theta}\sin\theta\) and \(\dot{y} = \frac{dy}{dt} = \dot{r}\sin\theta + r\dot{\theta}\cos\theta\) Substitute the differential equations of \(\dot{r}\) and \(\dot{\theta}\) into these equations: \(\dot{x} = -r\cos\theta - r\frac{1}{\ln r}\sin\theta\) and \(\dot{y} = -r\sin\theta + r\frac{1}{\ln r}\cos\theta\)
04

Linearize the system about the origin and show that it is a stable star

The linearized system involves finding the Jacobian matrix evaluated at the origin (r = 0), and then transforming it into the Cartesian coordinate system. Since we're taking the Jacobian at r = 0, the exponential term doesn't affect the system. Thus, the linearized system becomes: \(\dot{x} = -x\), and \(\dot{y} = -y\) The eigenvalues of the Jacobian matrix are both negative, making this a stable star in the linearized system.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Polar Coordinates
Polar coordinates are a way to represent points in a plane using a distance and an angle. Unlike Cartesian coordinates, which use an x and y-axis, polar coordinates use:
  • The distance from a fixed point (usually called the origin) known as the radial coordinate, denoted by \(r\).
  • The angle \(\theta\), which is measured from a reference direction (usually the positive x-axis).
These coordinates are especially useful for problems involving circular motion or symmetry.
To convert polar coordinates to Cartesian coordinates, use the formulas:
  • \(x = r\cos\theta\)
  • \(y = r\sin\theta\)
This allows you to switch between the two systems, depending on which is more convenient for your analysis.
Fixed Points
In the context of dynamical systems, fixed points, or equilibrium points, are points where the system remains unchanged over time. If you start at a fixed point, you will remain there unless disturbed by an external force.
For the system given in the problem, the origin (\(r = 0\)) is a fixed point. We found by solving the equations for \(r(t)\) and \(\theta(t)\) that as time \(t\) approaches infinity, \(r(t)\) tends to zero, leading to the origin being a stable spiral. A stable spiral indicates that trajectories of the system will spiral towards the fixed point over time.
Understanding fixed points is crucial for analyzing the stability and long-term behavior of systems.
Linearization
Linearization is a method used to approximate a nonlinear system near a fixed point by a linear one. This is especially useful for understanding system behavior close to equilibrium points.
The idea is to compute the Jacobian matrix—a matrix of first-order partial derivatives—of the system equations evaluated at the fixed point. This gives us a linear approximation of the system.
In the exercise, linearizing about the origin (where \(r = 0\)) results in the system given by \(\dot{x} = -x\) and \(\dot{y} = -y\). Here, both equations represent independent exponential decay, indicating stability since both trajectories naturally move towards the origin without external influence.
Linear systems are easier to analyze and can provide insight into the stability of the original nonlinear system.
Cartesian Coordinates
Cartesian coordinates are a common system to represent points in a plane or space using a grid of perpendicular lines, forming an x-axis and a y-axis (and a z-axis for three-dimensional systems).
Points are denoted by \((x, y)\) pairs, making it straightforward to perform arithmetic calculations or graph functions.
Switching between polar and Cartesian coordinates, as seen in the exercise, allows us to tap into the strengths of both systems. For example, expressions in terms of \(r\) and \(\theta\) can simplify systems with rotational symmetry, while Cartesian coordinates might offer simplicity in linear or grid-based transformations.
The challenge lies in accurately translating expressions between these systems, especially when involving derivatives or dynamics such as \(\dot{x}\) and \(\dot{y}\). By keeping track of these transformations, we can effectively study complex dynamical systems.

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Most popular questions from this chapter

(Saddle switching and structural stability) Consider the system \(\dot{x}=a+x^{2}-x y, \dot{y}=y^{2}-x^{2}-1\), where \(a\) is a parameter. a) Sketeh the phase portrait for \(a=0\). Show that there is a trajectory connecting two saddle points. (Such a trajectory is called a saddle connection.) b) With the aid of a computer if necessary, sketch the phase portrait for \(a<0\) and \(a>0\) Notice that for \(a \neq 0\), the phase portrait has a different topological character: the saddles are no longer connected by a trajectory. The point of this exercise is that the phase portrait in (a) is not structurally stable, since its topology can be changed by an arbitrarily small perturbation \(a\).

$$ \text { (Dipole fixed point) } \dot{x}=2 x y, \dot{y}=y^{2}-x^{2} $$

(Pendulum driven by constant torque) The equation \(\ddot{\theta}+\sin \theta=\gamma\) describes the dynamics of an undamped pendulum driven by a constant torque, or an undamped Josephson junction driven by a constant bias current. a) Find all the equilibrium points and classify them as \(\gamma\) varies. b) Sketch the nullclines and the vector field. c) Is the system conservative? If so, find a conserved quantity. Is the system reversible? d) Sketch the phase portrait on the plane as \(\gamma\) varies. e) Find the approximate frequency of small oscillations about any centers in the phase portrait.

(Two-mode laser) According to Haken (1983, p. 129), a two-mode laser produces two different kinds of photons with numbers \(n_{1}\) and \(n_{2}\). By analogy with the simple laser model discussed in Section \(3.3\), the rate equations are $$ \begin{aligned} &\dot{n}_{1}=G_{1} N n_{1}-k_{1} n_{1} \\ &\dot{n}_{2}=G_{2} N n_{2}-k_{2} n_{2} \end{aligned} $$ where \(N(t)=N_{0}-\alpha_{1} n_{1}-\alpha_{2} n_{2}\) is the number of excited atoms. The parameters \(G_{1}, G_{2}, k_{1}, k_{2}, \alpha_{1}, \alpha_{2}, N_{0}\) are all positive. a) Discuss the stability of the fixed point \(n_{1}{ }^{*}=n_{2}{ }^{*}=0\). b) Find and classify any other fixed points that may exist. c) Depending on the values of the various parameters, how many qualitatively different phase portraits can occur? For each case, what does the model predict about the long-term behavior of the laser?

Show that each of the following systems is reversible, and sketch the phase portrait. $$ \bar{x}=y, \dot{y}=x \cos y $$

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