How can I use Fourier series to solve for f(x) when given specific conditions?

In summary, a Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different frequencies and amplitudes. It is important in various fields of science and engineering, such as signal processing and quantum mechanics, as it allows for the analysis and manipulation of complex phenomena. A Fourier series is calculated using the Fourier transform, which involves integrating the function over a period and solving for coefficients. It is different from a Fourier transform, which represents non-periodic functions with infinitely many frequencies. Some applications of Fourier series include filtering unwanted frequencies, image compression and manipulation, and solving differential equations. They are also used in music and audio production for analyzing and manipulating sound waves.
  • #1
gtfitzpatrick
379
0

Homework Statement



if 0<[tex]\lambda[/tex]<1 and
f(x) = x for 0<x<[tex]\lambda\pi[/tex] and
f(x) = ([tex]\lambda[/tex]/(1-[tex]\lambda[/tex]))([tex]\pi[/tex]-x) for [tex]\lambda\pi[/tex]<x<[tex]\pi[/tex]

show that f(x)= 2/([tex]\pi[/tex](1-[tex]\lambda[/tex]))[tex]\Sigma[/tex](sin( n[tex]\lambda[/tex][tex]\pi[/tex])sin(nx)(/n[tex]^{}2[/tex]

Homework Equations





The Attempt at a Solution


am i right in saying that there is only odd so ao = 0 and an = 0

and bn = 2/[tex]\pi[/tex]
 
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  • #2
\Sigma[sin(n\lambda\pi)sin(nx)/n^2]and so f(x) = 2/(\pi(1-\lambda))\Sigma[sin(n\lambda\pi)sin(nx)/n^2]
 

What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions with different frequencies and amplitudes. It allows us to break down complex functions into simpler components that can be analyzed and manipulated.

What is the importance of Fourier series?

Fourier series are important in many areas of science and engineering, including signal processing, image processing, and quantum mechanics. They allow us to understand and manipulate complex phenomena, such as sound and light waves, by breaking them down into simpler components.

How is a Fourier series calculated?

A Fourier series is calculated using a mathematical formula called the Fourier transform. This involves integrating the function over a period and solving for the coefficients of each sine and cosine term. The result is a series of numbers that represent the amplitudes and frequencies of the individual components.

What is the difference between a Fourier series and a Fourier transform?

A Fourier series represents a periodic function as a sum of sine and cosine functions, while a Fourier transform represents a non-periodic function as a sum of sine and cosine functions with infinitely many frequencies. In other words, a Fourier series is a special case of a Fourier transform for periodic functions.

What are some applications of Fourier series?

Fourier series have many practical applications, such as in signal processing to filter out unwanted frequencies, in image processing to compress and manipulate images, and in solving differential equations in physics and engineering. They are also used in music and audio production to analyze and manipulate sound waves.

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