Chapter 7: Problem 7
Given \(f(x)=|x|\) on \((-\pi, \pi),\) expand \(f(x)\) in an appropriate Fourier series of period 2 \(\pi.\)
Short Answer
Expert verified
The Fourier series for
Step by step solution
01
Identify the Fourier Series Form
The function can be expanded in a Fourier series as: where we need to identify the coefficients.
02
Compute the Fourier Coefficients
To find the Fourier coefficients, we'll calculate the following integrals:
03
Calculate the Constant Term
The term is given by:
04
Calculate the Cosine Coefficients
The
05
Calculate the Sine Coefficients
Since
06
Construct the Fourier Series
The Fourier series expansion becomes:
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with Vaia!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Fourier coefficients
In the Fourier series, coefficients play a crucial role. They determine how much of each sine and cosine wave is present in the overall function.
To find these coefficients for a function like \(f(x) = |x|\), we use integrals. There are three types of coefficients to find:
The constant term:
\[ a_0 = \frac{1} {2\pi} \int_{{-\pi}}^{{\pi}} f(x) dx \]
The cosine coefficients:
\[ a_n = \frac{1} {\pi} \int_{{-\pi}}^{{\pi}} f(x) \cos(nx) dx \]
The sine coefficients:
\[ b_n = \frac{1} {\pi} \int_{{-\pi}}^{{\pi}} f(x) \sin(nx) dx \]
These coefficients help build the final Fourier series, giving us a powerful way to represent periodic functions.
To find these coefficients for a function like \(f(x) = |x|\), we use integrals. There are three types of coefficients to find:
- The constant term \(a_0\)
- The cosine coefficients \(a_n\)
- The sine coefficients \(b_n\)
The constant term:
\[ a_0 = \frac{1} {2\pi} \int_{{-\pi}}^{{\pi}} f(x) dx \]
The cosine coefficients:
\[ a_n = \frac{1} {\pi} \int_{{-\pi}}^{{\pi}} f(x) \cos(nx) dx \]
The sine coefficients:
\[ b_n = \frac{1} {\pi} \int_{{-\pi}}^{{\pi}} f(x) \sin(nx) dx \]
These coefficients help build the final Fourier series, giving us a powerful way to represent periodic functions.
Absolute value function
The absolute value function, denoted by \( |x| \), is a very common mathematical function. It measures the distance of a number from zero on the number line.
It's defined as follows:
In the case of a Fourier series on the interval \( \(-\pi\), \pi\right)\), the absolute value function \(|x|\) is symmetrical and periodic. This symmetry is important when calculating the Fourier coefficients.
It's defined as follows:
- \( |x| = x \) if \( x \geq 0 \)
- \( |x| = -x \) if \( x < 0 \)
In the case of a Fourier series on the interval \( \(-\pi\), \pi\right)\), the absolute value function \(|x|\) is symmetrical and periodic. This symmetry is important when calculating the Fourier coefficients.
Periodic functions
A function is called periodic if it repeats itself after a fixed interval, known as the period. Mathematically, a function \(f(x)\) is periodic with period \(T\) if:
\[ f(x + T) = f(x) \]
In this exercise, the function \(f(x) = |x|\) is expanded in a Fourier series with period \(2\pi\), aligning perfectly with its periodicity.
\[ f(x + T) = f(x) \]
- Sine and cosine functions are classic examples of periodic functions with period \(2\pi\).
- The function \(f(x) = |x|\) is also periodic with period \(2\pi\) on the given interval.
In this exercise, the function \(f(x) = |x|\) is expanded in a Fourier series with period \(2\pi\), aligning perfectly with its periodicity.
Trigonometric series
A trigonometric series is a series of terms that are trigonometric functions (sine and cosine functions). The general form of a Fourier series is a trigonometric series:
\[ f(x) = a_0 + \sum_{{n=1}}^{{\infty}} \(a_n \cos(nx) + b_n \sin(nx) \) \]
This series combines both sine and cosine terms to approximate the original function. Each term in the series corresponds to a different frequency component of the original signal.
The coefficients \(a_n\) and \(b_n\) determine the amplitude of each cosine and sine term respectively. Calculating these coefficients accurately is essential to represent the function correctly.
In the given exercise, the absolute value function \(f(x) = |x|\) is expanded into a trigonometric series to approximate it accurately on the interval \( \(-\pi\), \pi\right)\). This approach is very powerful for analyzing & understanding the behavior of periodic functions.
\[ f(x) = a_0 + \sum_{{n=1}}^{{\infty}} \(a_n \cos(nx) + b_n \sin(nx) \) \]
This series combines both sine and cosine terms to approximate the original function. Each term in the series corresponds to a different frequency component of the original signal.
The coefficients \(a_n\) and \(b_n\) determine the amplitude of each cosine and sine term respectively. Calculating these coefficients accurately is essential to represent the function correctly.
In the given exercise, the absolute value function \(f(x) = |x|\) is expanded into a trigonometric series to approximate it accurately on the interval \( \(-\pi\), \pi\right)\). This approach is very powerful for analyzing & understanding the behavior of periodic functions.