Proving Fourier Series of f(x) for 0<\lambda<1

In summary, the given problem asks to prove that the function f(x) can be written as a sum of sines with coefficients 2/(\pi(1-\lambda)) and n^2. To do so, the integrals of the two parts of the function must be calculated and then simplified using trigonometric identities. The final result is f(x) = 2/(\pi(1-\lambda))\Sigma(sin( n\lambda\pi)sin(nx))/n^{}2.
  • #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 = 1/[tex]\pi[/tex](integration of the 2 parts)(sin nx)
 
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  • #2
= 1/\pi[sin nx - \lambda sin n\lambda\pi] so bn = sin n\lambda\pi/(\pi(1-\lambda)) therefore f(x) = 2/(\pi(1-\lambda))\Sigma(sin( n\lambda\pi)sin(nx))/n^{}2
 

Related to Proving Fourier Series of f(x) for 0<\lambda<1

What is a Fourier Series?

A Fourier Series is a mathematical tool used to represent a periodic function as a sum of sine and cosine functions. It can be used to analyze and approximate the behavior of various physical systems, such as sound waves and electrical signals.

Why is it important to prove the Fourier Series of a function?

Proving the Fourier Series of a function is important because it allows us to understand the behavior of the function in terms of its frequency components. It also provides a way to approximate the function with a finite number of terms, which can be useful in various applications.

What does the interval 0<\lambda<1 represent in the Fourier Series?

The interval 0<\lambda<1 represents the range of the frequency parameter in the Fourier Series. This means that the series will include all frequency components from 0 to 1, with higher frequencies having a smaller contribution to the overall function.

How is the Fourier Series of a function calculated?

The Fourier Series of a function can be calculated using a series of mathematical equations, including the Fourier coefficients and the trigonometric functions. These equations can be derived using integration and complex analysis techniques.

What are some real-world applications of Fourier Series?

Fourier Series has many real-world applications, including signal processing, image and sound compression, and data analysis. It is also used in fields such as physics, engineering, and economics to model and understand various systems and phenomena.

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