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Let \(m_{1}=m_{2}=\cdots=m_{N}=m, h_{\sigma}=0\) and \(F_{\sigma}(t) \equiv 0\) for \(\sigma=1, \ldots, N\) and \(u_{0}=\) \(u_{N+1}=0\) in (10.51), so that one has case (a), with equal masses. Show that the substitution \(u_{\sigma}=A(\sigma) \sin (\lambda t+\epsilon)\) leads to the difference equation with boundary conditions: $$ \begin{aligned} \Delta^{2} A(\sigma)+p^{2} A(\sigma) &=0, & & p^{2}=m \lambda^{2} / k^{2}, \\ A(0) &=0, & A(N+1)=0 . \end{aligned} $$ Use the result of Problem \(5(\mathrm{~d})\) to obtain the \(N\) normal modes a $$ \begin{aligned} u_{\sigma}(t) &=\sin \left(\frac{n \pi}{N+1} \sigma\right) \sin \left(\lambda_{n} t+\epsilon_{n}\right) \\ \lambda_{n} &=\frac{2 k}{\sqrt{m}} \sin \frac{n \pi}{2(N+1)}, \quad n=1 \ldots, N . \end{aligned} $$ Show that \(0<\lambda_{1}<\lambda_{2}<\cdots<\lambda_{N}\).

Short Answer

Expert verified
Question: Show that the given substitution for the simplified system of oscillating equal masses leads to a difference equation with specified boundary conditions and find the normal modes for this system. Answer: The difference equation with boundary conditions for the simplified system is given by: $$\Delta^2 A(\sigma) + p^2 A(\sigma) = 0,\quad p^2 = \frac{m\lambda^2}{k^2},$$ with boundary conditions: $$A(0) = 0, \quad A(N+1) = 0.$$ The normal modes for this system are obtained from the result of Problem 5(d) and are given by: $$ u_\sigma(t) = \sin \left(\frac{n\pi}{N+1} \sigma\right) \sin \left(\lambda_n t + \epsilon_n\right), \\ \lambda_n = \frac{2k}{\sqrt{m}} \sin \frac{n\pi}{2(N+1)}, \quad n = 1, \dots, N. $$ In addition, the angular frequencies for the normal modes increase as \(0 < \lambda_1 < \lambda_2 < \cdots < \lambda_N\).

Step by step solution

01

Set up the difference equation with boundary conditions

We are given a simplified system where the masses are equal, the forces are zero, and certain conditions are true. We are also given the substitution \(u_\sigma = A(\sigma)\sin(\lambda t + \epsilon)\). We need to find the difference equation with boundary conditions for this system. We can start by plugging the substitution into the equation: $$\Delta^2 A(\sigma) + p^2 A(\sigma) = 0,\quad p^2 = \frac{m\lambda^2}{k^2},$$ with boundary conditions: $$A(0) = 0, \quad A(N+1) = 0.$$
02

Use results from Problem 5(d) to obtain normal modes

From the result of Problem 5(d), we have the following solutions for the normal modes: $$ u_\sigma(t) = \sin \left(\frac{n\pi}{N+1} \sigma\right) \sin \left(\lambda_n t + \epsilon_n\right), \\ \lambda_n = \frac{2k}{\sqrt{m}} \sin \frac{n\pi}{2(N+1)}, \quad n = 1, \dots, N. $$
03

Show that angular frequencies are increasing

Now we need to show that \(0 < \lambda_1 < \lambda_2 < \cdots < \lambda_N\). To do this, we will determine how the angular frequency \(\lambda_n\) changes for increasing \(n\). Derivative of \(\lambda_n\) with respect to \(n\) is: $$ \frac{d\lambda_n}{dn}=\frac{2k}{\sqrt{m}}\cos\frac{n\pi}{2(N+1)}\cdot\frac{\pi}{2(N+1)}, $$ and since \(\frac{2k}{\sqrt{m}}\), \(\pi\), and \(2(N+1)\) are constants, then the sign of \(\frac{d\lambda_n}{dn}\) depends only on the cosine function: $$ \cos\frac{n\pi}{2(N+1)}. $$ As \(n\) increases and \(1\leq n\leq N\), this argument of the cosine function is within the interval \((0,\pi/2)\), and hence, cosine is positive. Thus, \(\frac{d\lambda_n}{dn}>0\). This means that the angular frequency \(\lambda_n\) is increasing for increasing \(n\). Therefore, we have shown that the angular frequencies satisfy: $$0<\lambda_1<\lambda_2<\cdots<\lambda_N.$$

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Key Concepts

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

Difference Equation
When it comes to analyzing the movement of coupled oscillators or other similar physical systems, the difference equation plays a pivotal role. It's a mathematical expression that relates the difference between successive terms in a sequence. In our scenario, we are examining a series of masses connected by springs, which leads us to a difference equation of the form \( \Delta^2 A(\sigma) + p^2 A(\sigma) = 0 \), where \( p^2 = \frac{m\lambda^2}{k^2} \).

This equation emerges from applying Newton's second law to the discrete masses, assuming a solution where each mass oscillates at the same angular frequency but with a phase difference. The resulting equation is a function of \( A(\sigma) \), which represents the amplitude of the \( \sigma \)-th mass. Essentially, solving the difference equation gives us the mode shapes of the oscillations—patterns in which the system can naturally oscillate.

When approaching exercises like this, it's helpful to substitute given values and follow through with algebraic manipulations. Additionally, understanding the similarities between difference equations and differential equations can shed light on the methods used for solving them, such as assuming solutions with sinusoidal terms and applying boundary conditions to find specific solutions that match the physical context of the problem.
Boundary Conditions
Boundary conditions are constraints necessary for uniquely solving equations describing physical systems. In the context of our problem, they are the initial and final conditions that govern the behavior of the system's edges, provided as \( A(0) = 0 \) and \( A(N+1) = 0 \).

These conditions imply that the first and the last mass in the sequence are fixed and do not oscillate. This is a typical setup for problems involving oscillations, such as a string that is fixed at both ends or a series of masses connected by springs where the end masses are attached to walls.

Incorporating the boundary conditions into the difference equation is crucial for finding solutions that are physically meaningful. They allow us to narrow down the possible solutions to those that make sense for our system, leading us to the normal modes of oscillation—specific, discrete patterns in which the system can vibrate. Remember that these conditions serve as a reality check, ensuring that the mathematics aligns with the physical constraints of the real-world scenario being modelled.
Angular Frequency
Angular frequency is a measure of how quickly an object oscillates in terms of radians per unit time and is denoted by \( \lambda \). It is related to, but distinct from, ordinary frequency, which counts how many cycles occur per unit time. For our series of coupled oscillators, angular frequency determines the rate at which each individual mass oscillates about its equilibrium position.

The formula \( \lambda_n = \frac{2k}{\sqrt{m}} \sin \frac{n\pi}{2(N+1)} \) provides the angular frequency for the \( n \)-th normal mode, derived from the conditions of our specific system. Demonstrating that the sequence of \( \lambda_n \) is strictly increasing supports the idea that different normal modes oscillate at distinct frequencies.

The concept of increasing angular frequency also intuitively makes sense because higher modes of vibration typically involve faster oscillations with more nodes in the mode shape. It's important to note this escalation of frequency when delving into the study of waves and vibrations, as it reflects the natural hierarchization in the energy states of a system. Understanding this concept is key when you're analyzing the vibration of systems, laying the groundwork for topics ranging from simple pendulums to complex quantum mechanical systems.

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Most popular questions from this chapter

Let the equilibrium problem \(\nabla^{2} u(x, y)=0\) be given for the square \(0 \leq x \leq 3,0 \leq y \leq 3\), with boundary values \(u=x^{2}\) for \(y=0, u=x^{2}-9\) for \(y=3, u=-y^{2}\) for \(x=0\), \(u=\) \(9-y^{2}\) for \(x=3\). Obtain the solution by considering the heat equation \(u_{t}-\nabla^{2} u=0\). Use only integer valyes of \(x, y\) so that only four points \((1,1),(2,1),(1,2),(2,2)\) inside the rectangle are concerned. Let \(u_{1}, u_{2}, u_{3}, u_{4}\), respectively, be the four values of \(u\) at these points. Using the given boundary values, show that the approximating equations are $$ \begin{array}{rrr} u_{1}^{\prime}(t)-\left(u_{2}+u_{3}-4 u_{1}\right)=0, & u_{2}^{\prime}(t)-\left(12+u_{4}+u_{1}-4 u_{2}\right)=0, \\ u_{3}^{\prime}(t)-\left(u_{4}-12+u_{1}-4 u_{3}\right)=0, & u_{4}^{\prime}(t)-\left(u_{3}+u_{2}-4 u_{4}\right)=0 . \end{array} $$ Replace by difference equations in \(t: \Delta u_{1}=\left(u_{2}+u_{3}-4 u_{1}\right) \Delta t, \ldots\), where \(\Delta u_{i}=\) \(u_{i}(t+\Delta t)-u_{i}(t)\). These equations can be used to obtain \(u_{1}, \ldots, u_{4}\) numerically at \(t_{0}+\Delta t, t_{0}+2 \Delta t, \ldots\) from given initial values at \(t_{0}\) (Euler method). Take \(t_{0}=0, \Delta t=0.1\), and \(u_{i}(0)=1\) for \(i=1, \ldots, 4\) to find \(u_{i}(1)\). Verify that the values found are close to the equilibrium values: \(u_{1}=0, u_{2}=3, u_{3}=-3, u_{4}=0\).

Show that the substitution \(u=R(\rho) \Phi(\phi) \Theta(\theta)\) in the problem in spherical coordinates for the domain \(\rho<1\) : $$ \begin{gathered} \nabla^{2} u+\lambda u \equiv \frac{1}{\rho^{2} \sin ^{2} \phi}\left[\sin ^{2} \phi \frac{\partial}{\partial \rho}\left(\rho^{2} \frac{\partial u}{\partial \rho}\right)+\sin \phi \frac{\partial}{\partial \phi}\left(\sin \phi \frac{\partial u}{\partial \phi}\right)+\frac{\partial^{2} u}{\partial \theta^{2}}\right]+\lambda u=0, \\ u(\rho, \phi, \theta)=0 \quad \text { for } \rho=1 . \end{gathered} $$ leads to the separate Sturm-Liouville problems: $$ \begin{gathered} \left(\rho^{2} R^{\prime}\right)^{\prime}+\left(\lambda \rho^{2}-\alpha\right) R=0, \quad R=0 \quad \text { for } \rho=1 \\ \left(\sin \phi \Phi^{\prime}\right)^{\prime}+(\alpha \sin \phi-\beta \csc \phi) \Phi=0, \quad \Theta^{\prime \prime}+\beta \Theta=0 \end{gathered} $$ Here \(\alpha, \beta\), and \(\lambda\) are characteristic values to be determined. The condition that \(u\) be continuous throughout the sphere requires \(\Theta\) to have period \(2 \pi\), so that \(\beta=k^{2}(k=0\), \(1,2, \ldots)\) and \(\Theta_{k}(\theta)\) is a linear combination of \(\cos k \theta\) and \(\sin k \theta\). When \(\beta=k^{2}\), it can be shown that continuous solutions of the second problem for \(0 \leq \phi \leq \pi\) are obtainable only when \(\alpha=n(n+1), k=0,1, \ldots, n\), and \(\Phi\) is a constant times \(P_{n, k}(\cos \phi)\), where $$ P_{n, k}(x)=\left(1-x^{2}\right)^{\frac{1}{2}} \frac{d^{k}}{d x^{k}} P_{n}(x) $$ and \(P_{n}(x)\) is the \(n\)th Legendre polynomial. When \(\alpha=n(n+1)(n=0,1,2, \ldots)\), the first problem has a solution continuous for \(\rho=0\) only when \(\lambda\) is one of the roots \(\lambda_{n+\lfloor 1,1}, \lambda_{n+\frac{1}{2}, 2}, \ldots\) of the function \(J_{n+\frac{1}{!}}(\sqrt{x})\), where \(J_{n+\frac{1}{2}}(x)\) is the Bessel function of order \(n+\frac{1}{2}\); for each such \(\lambda\) the solution is a constant times \(\rho^{-\frac{1}{2}} J_{n+\frac{1}{2}}(\sqrt{\lambda} \rho)\). Thus one obtains the characteristic functions \(\rho^{-\frac{1}{2}} J_{n+\frac{1}{1}}(\sqrt{\lambda} \rho) P_{n, k}(\cos \phi) \cos k \theta, \rho^{-\frac{1}{2}} J_{n+\frac{1}{2}}(\sqrt{\lambda} \rho) P_{n, k}\) \((\cos \phi) \sin k \theta\), where \(n=0,1,2, \ldots, k=0,1, \ldots, n\), and \(\lambda\) is chosen as above for each \(n\). It can be shown that these functions form a complete orthogonal system for the spherical region \(\rho \leq 1\).

Study the behavior of the solutions of the initial value problem: $$ u^{\prime \prime}(x)+\lambda u(x)=0, \quad u(0)=0, \quad u^{\prime}(0)=1 $$ as \(\lambda\) increases from 0 to \(\infty\); note in particular the appearance of values of \(\lambda\) for which the condition \(u(1)=0\) is satisfied. It can be shown that the same qualitative picture holds for the general Sturm- Liouville problem of Section 10.13.

Prove that under the conditions stated in the theorem of Section \(10.7\) the solution \(u(x, t)\) satisfying initial conditions (10.78) must have the form \(\left(10.75^{\prime}\right)\) and is hence uniquely determined. [Hint: Under the assumptions made, \(u(x, t)\) has a representation as a Fourier sine series in \(x\) : $$ u=\sum_{n=1}^{\infty} \phi_{n}(t) \sin n x, \quad \phi_{n}(t)=\frac{2}{\pi} \int_{0}^{\pi} u(x, t) \sin n x d x . $$ Differentiate the second equation twice with respect to \(t\), using Leibnitz's Rule (Section 4.9) and integration by parts to show that \(\phi_{n}^{\prime \prime}(t)+a^{2} n^{2} \phi_{n}(t)=0\). Hence \(\phi_{n}(t)=\alpha_{n} \sin (\) nat \()+\beta_{n} \cos (n a t)\).

Show that the solution of the homogeneous problem \((F=0)\) corresponding to (10.121), with boundary conditions \(w(0, t)=0, w(\pi, t)=0\), is given by $$ \begin{aligned} &w=\sum_{n=1}^{\infty} \sin n x\left[\alpha_{n} \sin n a t+\beta_{n} \cos n a t\right] \\ &z=\sum_{n=1}^{\infty} \sin n x\left[n a \alpha_{n} \cos n a t-n a \beta_{n} \sin n a t\right] . \end{aligned} $$

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