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Problems 17 through 22 deal with the effect of a sequence of impulses on an undamped oscillator. Suppose that $$ y^{\prime \prime}+y=f(t), \quad y(0)=0, \quad y^{\prime}(0)=0 $$ For each of the following choices for \(f(t)\) : (a) Try to predict the nature of the solution without solving the problem. (b) Test your prediction by finding the solution and drawing its graph. (c) Determine what happens after the sequence of impulses ends. $$ f(t)=\sum_{k=1}^{20} \delta(t-k \pi) $$

Short Answer

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#tag_title#Summary#tag_content# In summary, we analyzed an undamped oscillator subjected to a sequence of impulses given by the forcing function \(f(t)\). We first predicted the possible nature of the solution based on the forcing function, noting that the system might oscillate indefinitely after the impulses end due to the lack of damping. Using Laplace Transforms, we found the analytical solution for y(t) and confirmed our predictions by plotting the solution. Finally, we discussed the system's behavior after the sequence of impulses ends, stating that the oscillation may either continue indefinitely or cease depending on the superposition of individual oscillations.

Step by step solution

01

a. Predicting the Nature of the Solution

The forcing function \(f(t)\) is given as the sum of Dirac-delta functions, which consists of 20 sharp impulses at separate instances of time: \(1\pi, 2\pi,\dots, 20\pi\). These impulses will cause the undamped oscillator to gain energy instantaneously. The oscillator will likely experience significant oscillation during the impulse sequences. As there is no damping term, the oscillation of the system might continue indefinitely.
02

b. Confirming our Prediction by Finding the Solution and Drawing its Graph

Now, let's find the actual solution to the given differential equation using Laplace Transforms. Applying the Laplace Transform to both sides of the given differential equation, we get: $$ s^{2}Y(s)-sy(0)-y^{\prime}(0)+Y(s) = F(s) $$ Since \(y(0)=0\) and \(y^{\prime}(0)=0\), the equation simplifies to: $$ (s^{2}+1)Y(s) = F(s) $$ The Laplace Transform of \(f(t)\) is: $$ F(s) = \sum_{k=1}^{20} \mathcal{L} \{\delta(t-k\pi)\} = \sum_{k=1}^{20} e^{-ks\pi} $$ Now, we can find the inverse Laplace Transform of the solution: $$ Y(s) = \dfrac{1}{s^{2}+1} \sum_{k=1}^{20} e^{-ks\pi} $$ Taking the inverse Laplace Transform, we get the solution for y(t): $$ y(t) = \mathcal{L}^{-1}\left\{ \dfrac{1}{s^{2}+1} \sum_{k=1}^{20} e^{-ks\pi} \right\} $$ Since the Laplace Transform is linear, we can split the sum into multiple inverse Laplace Transforms as: $$ y(t) = \sum_{k=1}^{20} \mathcal{L}^{-1}\left\{ \dfrac{e^{-ks\pi}}{s^{2}+1} \right\} = \sum_{k=1}^{20} \mathcal{U}_k(t) \sin{(t-k\pi)} $$ where \(\mathcal{U}_k(t)\) is the unit step function. We can now plot the solution y(t), as written above, to verify the behavior of the oscillator during and after the impulse sequences.
03

c. Determine what happens after the sequence of impulses ends

As seen in the solution found in step (b) above, the system oscillates for each impulse in the sum, where the oscillation starts at each \(k\pi\) with unit step functions. Since there is no damping term, once the impulses end, the system continues oscillating, but it won't receive any additional energy. Due to the linearity of the problem, the oscillations will either continue indefinitely or cease depending on the superposition of individual oscillations. Regardless, this behavior should align with our prediction in part (a) that the system might continue oscillating even after the sequence of impulses ends.

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Key Concepts

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

Dirac-Delta Function
The Dirac-Delta function, often represented as \( \delta(t) \), is a mathematical construct used to model an instantaneous impulse or shock at a specific instance in time. You can think of it as an "idealized" point impulse that has an area of one under the curve at a single, infinitely small point.
A useful property of the Dirac-Delta function is its sifting property, which picks out the value of a function at a specific point. In the context of differential equations, it is often used to represent instantaneous changes or forces, like a sudden kick or blow to a system.
In this exercise, \( f(t) = \sum_{k=1}^{20} \delta(t-k\pi) \) consists of a series of 20 impulses applied at every \( k\pi \) interval. Each impulse instantaneously affects the system, and the result is a sequence of impacts that generate oscillations in the oscillator.
Laplace Transforms
Laplace Transforms are a powerful mathematical tool utilized to convert complex differential equations into easier algebraic equations. This is done by transforming functions from the time domain into the frequency or s-domain.
The process involves applying the Laplace Transform to differential equations, simplifying them, and then using inverse transforms to obtain solutions in the time domain. This makes handling initial conditions straightforward and solves linear differential equations efficiently.
In the example problem, applying the Laplace Transform to the differential equation involves transforming both sides, replacing the derivatives in the time domain with algebraic terms in the s-domain. Integrating initial conditions, which are zero here, greatly simplifies the transformation process. \( F(s) = \sum_{k=1}^{20} e^{-ks\pi} \) becomes the transformed function of \( f(t) \), with the sum indicating the effect of each delta function.
Impulse Response
Impulse Response refers to the reaction of a system when subjected to an impulse like the Dirac-Delta function. It's a crucial aspect of understanding how systems behave under instantaneous changes.
For an undamped oscillator, applying an impulse response means the system begins to oscillate without losing energy. When multiple impulses occur, as in the problem where \( f(t) \) includes 20 Dirac-Delta functions, the impulses initiate individual oscillations at each \( k\pi \). These oscillations start with each impulse and contribute to the total response of the system.
In calculating the impulse response with inverse Laplace Transform, we see the linearity allowing for the superposition of each impulse's effect. Hence, the system's overall response is the sum of these separate oscillatory motions, continuing indefinitely due to the absence of damping.
Differential Equations
Differential Equations are equations involving derivatives, expressing how a function changes over time. They are crucial in modeling physical systems including oscillations, heat transfer, motion, and more.
An undamped oscillator, such as the one described in the problem, follows a simple differential equation \( y'' + y = f(t) \). Here, \( y(t) \) represents the system's state over time, and \( f(t) \) is the external force applied to the system, described by impulses.
Solving such a differential equation involves expressing it in terms of initial conditions and external forces. Techniques like Laplace Transforms simplify the process by reducing it to algebraic manipulation. Understanding the balance of forces and results allows predictions of system behavior under specific conditions, showcasing the fundamental role these equations play in dynamics and system analysis.

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Most popular questions from this chapter

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