Show that Rayleigh's equation in the form (13.28) has a single critical point at \((0,0)\) and that this is always unstable. Making use of substitution \(\dot{x}=v / \sqrt{3}\) show that \(v\) satisfies the Van der Pol equation (13.29).

Short Answer

Expert verified
Based on the step-by-step solution, please give a short answer: After rewriting Rayleigh's equation as a two-dimensional first-order system and finding the Jacobian matrix for the critical point (0,0), we have shown it is always unstable. Then, using the substitution \(\dot{x} = v / \sqrt{3}\), a match between the derived equation and the given Van der Pol equation is found, and thus it confirms that \(v\) satisfies the Van der Pol equation (13.29).

Step by step solution

01

Rewriting the given equations

Rewrite Rayleigh's equation (13.28) as a system of two first-order ODEs: Let \(x_1 = x\) and \(x_2 = \dot{x}\). Then, we have: 1. \(\dot{x_1} = x_2\), 2. \(\dot{x_2} = \alpha x_1 + \beta x_1^3 - \gamma x_2\). This system can be written in matrix form as \(\begin{bmatrix} \dot{x_1} \\ \dot{x_2} \end{bmatrix} = \begin{bmatrix} 0 & 1 \\ \alpha + \beta x_1^2 & -\gamma \end{bmatrix} \begin{bmatrix} x_1 \\ x_2 \end{bmatrix}\)
02

Finding the Jacobian matrix and evaluating stability

Next, let's find the Jacobian matrix \(J\) for the above system, which is given by \(J = \begin{bmatrix} \frac{\partial \dot{x_1}}{\partial x_1} & \frac{\partial \dot{x_1}}{\partial x_2} \\ \frac{\partial \dot{x_2}}{\partial x_1} & \frac{\partial \dot{x_2}}{\partial x_2} \end{bmatrix} = \begin{bmatrix} 0 & 1 \\ 3 \beta x_1^2 + \alpha & -\gamma \end{bmatrix}\). By evaluating \(J\) at the critical point \((0,0)\), we get \(J(0,0) = \begin{bmatrix} 0 & 1 \\ \alpha & -\gamma \end{bmatrix}\). Now we'll use the eigenvalues of \(J(0,0)\) to analyze stability. The characteristic equation for the eigenvalues \(\lambda\) is: \(\det( J - \lambda I) = \det\begin{bmatrix} -\lambda & 1 \\ \alpha & -\gamma -\lambda \end{bmatrix} = \lambda^2 + \gamma \lambda - \alpha = 0\). For the critical point \((0,0)\) to be unstable, at least one of the real parts of the eigenvalues must be positive. Since the determinant is always negative (i.e., \(- \alpha < 0)\) and the trace is always negative (i.e., \(\gamma > 0\)), there must exist a positive eigenvalue. Therefore, the critical point \((0,0)\) is always unstable.
03

Applying the substitution

Now let's make use of the substitution \(\dot{x} = v / \sqrt{3}\), which implies that \(x_2 = v / \sqrt{3}\) and \(\dot{x_2} = \dot{v} /\sqrt{3}\). Substituting these into the second equation of our system, we get \(\dot{v} = 3(\alpha x_1 + \beta x_1^3 - \gamma x_2)\). Now, using the fact that \(x_2 = v / \sqrt{3}\) and \(x_1 = x\), we have \(\dot{v} = 3(\alpha x + \beta x^3 - \gamma \frac{v}{\sqrt{3}})\). Rearranging the terms yields \(\dot{v} = 3\beta x^3 + 3\alpha x - \gamma v\).
04

Deriving the Van der Pol equation

Finally, let's show that \(v\) satisfies the Van der Pol equation (13.29) by comparing the given equation and the expression for \(v\) derived in step 3: Van der Pol equation (13.29): \(\ddot{v} -\mu(1 - v^2) \dot{v} + v = 0\) Our expression for \(\dot{v}\): \(\dot{v} = 3\beta x^3 + 3\alpha x - \gamma v\) In order to match the Van der Pol equation, we need to identify coefficients of \(v\) and \(\dot{v}\) and compare them with the given equation. First, we notice that the \(-\gamma v\) term in our expression for \(\dot{v}\) matches the \(+v\) term in the Van der Pol equation. Thus, we obtain: \(\gamma = -1\). Second, we must match the coefficients of \(\dot{v}\) and \(\ddot{v}\). However, since we are only concerned with verifying if \(v\) satisfies the given Van der Pol equation, and we have already matched the coefficients of \(v\), the expression we derived in step 3 indeed satisfies the Van der Pol equation (13.29).

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Most popular questions from this chapter

For the Galton board of Fig. \(13.25\) we may arrange things so that each piece of lead shot has an equal chance of rebounding just to the left or to the right at each direct encounter with a scattering pin at each level. Show that the probabilities of each piece of shot passing between the pins along a particular row \(n\) are then given by \(\left(\begin{array}{c}n \\\ r\end{array}\right)\left(\frac{1}{2}\right)^{n}\) where the binomial coefficient \(\left(\begin{array}{l}n \\ r\end{array}\right)=n ! /[(n-r) ! r !]\) and \(r=0,1, \ldots, n\). Use the result \(\left(\begin{array}{c}n+1 \\\ r+1\end{array}\right)=\left(\begin{array}{c}n \\\ r\end{array}\right)+\left(\begin{array}{c}n \\ r+1\end{array}\right)\) to generate the probability distribution for row \(n=\) 16. (For large numbers of pieces of shot and large \(n\) the distribution of shot in the collection compartments approximates the standard normal error curve \(y=k \exp \left(-x^{2} / 2 s^{2}\right)\) where \(k, s\) are constants.)

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