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(a) Sketch the graph of the given function for three periods. (b) Find the Fourier series for the given function. $$ f(x)=\left\\{\begin{array}{lr}{1,} & {-L \leq x < 0,} \\ {0,} & {0 \leq x < L}\end{array} \quad f(x+2 L)=f(x)\right. $$

Short Answer

Expert verified
2. What is the Fourier coefficient 饾憥鈧 of the given function? 3. What is the Fourier coefficient 饾憥饾憶 of the given function? 4. What is the Fourier coefficient 饾憦饾憶 of the given function? 5. What is the Fourier series representation of the given function?

Step by step solution

01

Part (a): Sketch the function for three periods

To sketch the graph of the given function for three periods, we need to identify the period and plot the function for three consecutive periods. The function is given as piecewise: $$ f(x)=\left\\{\begin{array}{lr}{1,} & {-L \leq x < 0,} \\\ {0,} & {0 \leq x < L}\end{array} \quad f(x+2 L)=f(x)\right. $$ The period of the function is 2L. So let's sketch the given function for three periods: 1. For the period -2L 鈮 x < 0, f(x) = 1. 2. For the period 0 鈮 x < 2L, f(x) = 0. 3. For the period 2L 鈮 x < 4L, f(x) = 1. 4. For the period 4L 鈮 x < 6L, f(x) = 0. Now, if you plot these points on a graph, you will see three periods of the given piecewise function.
02

Part (b): Find the Fourier series of the function

To find the Fourier series representation of the given function, we have to find the Fourier coefficients 饾憥鈧, 饾憥饾憶, and 饾憦饾憶 by computing these integrals: $$ a_{0}=\frac{1}{L} \int_{-L}^{L} f(x) d x, \quad a_{n}=\frac{1}{L} \int_{-L}^{L} f(x) \cos \left(\frac{n \pi x}{L}\right) d x, \quad b_{n}=\frac{1}{L} \int_{-L}^{L} f(x) \sin \left(\frac{n \pi x}{L}\right) d x $$ 1. Compute 饾憥鈧: $$ a_{0}=\frac{1}{L} \int_{-L}^{L} f(x) d x $$ Since the function is given as a piecewise function, we rewrite the integral as the sum of two integrals: $$ a_{0}=\frac{1}{L} \left( \int_{-L}^{0} 1 dx + \int_{0}^{L} 0 dx \right)=\frac{1}{L}\left[L-0\right]=1 $$ 2. Compute 饾憥饾憶: $$ a_{n}=\frac{1}{L} \int_{-L}^{L} f(x) \cos \left(\frac{n \pi x}{L}\right) d x $$ Again, we rewrite the integral as the sum of two integrals: $$ a_{n}=\frac{1}{L} \left( \int_{-L}^{0} 1 \cos \left(\frac{n \pi x}{L}\right) d x + \int_{0}^{L} 0 \cos \left(\frac{n \pi x}{L}\right) d x \right)=\frac{1}{L}\int_{-L}^{0} \cos \left(\frac{n \pi x}{L}\right) d x $$ Now, integrate w.r.t x: $$ a_{n}=\frac{1}{L} \left[-\frac{L}{n \pi} \sin \left(\frac{n \pi x}{L}\right) \right]_{-L}^{0} = \frac{1}{n\pi}\left[-\sin(n\pi)+\sin(-n\pi)\right]= 0 $$ 3. Compute 饾憦饾憶: $$ b_{n}=\frac{1}{L} \int_{-L}^{L} f(x) \sin \left(\frac{n \pi x}{L}\right) d x $$ Rewrite the integral as the sum of two integrals: $$ b_{n}=\frac{1}{L} \left( \int_{-L}^{0} 1 \sin \left(\frac{n \pi x}{L}\right) d x + \int_{0}^{L} 0 \sin \left(\frac{n \pi x}{L}\right) d x \right)=\frac{1}{L}\int_{-L}^{0} \sin \left(\frac{n \pi x}{L}\right) d x $$ Integrate w.r.t x: $$ b_{n}=\frac{1}{L} \left[-\frac{L}{n \pi} \cos \left(\frac{n \pi x}{L}\right) \right]_{-L}^{0} = \frac{1}{n\pi}\left[-\cos(0) + \cos(n\pi)\right] = \frac{1}{n\pi}(1-(-1)^{n}) $$ Now we have all the Fourier coefficients: 饾憥鈧 = 1, 饾憥饾憶 = 0, and 饾憦饾憶 = 鈭玕frac{1}{n\pi}(1-(-1)^{n}). So, the Fourier series representation of the function is: $$ f(x) = \frac{1}{2} + \sum_{n=1}^{\infty} \frac{1}{n\pi} (1-(-1)^{n}) \sin \left( \frac{n\pi x}{L} \right) $$

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Key Concepts

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

Piecewise Functions
Piecewise functions are mathematical expressions defined by multiple sub-functions, each applying to a certain interval of the main function's domain. They are particularly useful for describing functions that behave differently across distinct intervals in their domain. A classic example is the step function, which can take on different constant values within different ranges of the x-axis.

In the exercise provided, the function \( f(x) \) is defined differently over two intervals: it takes the value 1 for \( -L \leq x < 0 \) and 0 for \( 0 \leq x < L \). The function's behavior changes abruptly at the point \( x = 0 \), which is characteristic of piecewise functions. When sketching such a function, it's important to carefully plot each sub-function over its respective interval. For clarity, sharp transitions are often indicated by open and closed dots that show the discontinuities or boundaries of each sub-function's domain.
Fourier Coefficients
Fourier coefficients are the backbone of Fourier series, serving as weights to the sines and cosines in the series that provide an approximation to periodic functions. These coefficients are determined through integration, capturing how much of each frequency component is present in the original function. Calculating them is a crucial step in constructing the Fourier series representation.

In the provided solution, the Fourier coefficients \( a_0 \) (the average value of the function over one period), \( a_n \) (the coefficients for the cosine terms), and \( b_n \) (the coefficients for the sine terms) have been calculated by integrating the function over its period. Specifically, the coefficient \( a_0 \) is non-zero, indicating a non-zero average value over one period of the function. In contrast, all \( a_n \) coefficients are zero due to the function's symmetry, and the \( b_n \) coefficients describe the function's odd symmetry components. For periodic functions that exhibit discontinuities, like the given piecewise function, the Fourier series converges to the midpoint of the jump, reflecting the function's behavior across the discontinuity.
Periodic Functions
A periodic function is one that repeats its values in regular intervals or periods. The fundamental period is the smallest interval \( T \) after which the functions starts to repeat itself, \( f(x+T) = f(x) \). Understanding the period is vital for correctly analyzing the function and determining the range for integration when calculating Fourier coefficients.

In the exercise at hand, the given function is periodic with a period of \( 2L \). This periodic nature is explicitly stated by the condition \( f(x+2L) = f(x) \), and we can see this in the function's graph, as it replicates itself every \( 2L \) units along the x-axis. The function's period is an essential parameter in the Fourier series representation since the frequency of the sine and cosine functions in the series is determined by the period of the original function.

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Most popular questions from this chapter

Let an aluminum rod of length \(20 \mathrm{cm}\) be initially at the uniform temperature of \(25^{\circ} \mathrm{C}\). Suppose that at time \(t=0\) the end \(x=0\) is cooled to \(0^{\circ} \mathrm{C}\) while the end \(x=20\) is heated to \(60^{\circ} \mathrm{C},\) and both are thereafter maintained at those temperatures. (a) Find the temperature distribution the rod at any time \(t .\) (b) Plot the initial temperature distribution, the final (steady-state) temperature distribution, and the temperature distributions at two repreprentative intermediate times on the same set of axes. (c) Plot u versus \(t\) for \(x=5,10,\) and \(15 .\) (d) Determine the time interval that must elapse before the temperature at \(x=5 \mathrm{cm}\) comes (and remains) within \(1 \%\) of its steady-state value.

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