Exploring Alternating Solutions in Fourier Series

In summary, to solve a Fourier series, one needs to find the coefficients a_n, a_0, and b_n. These coefficients can be expressed using sin or cos functions, with the solution alternating between 0, 1, and -1. To write or solve for sin or cos(nπ/2), one can use the pattern of 1, 0, -1, 0, 1, 0, -1, and so on. This can also be achieved by reindexing the series using the substitution k=2n+1 or k=2n, with the alternating sign expressed as (-1)^n or (-1)^(n+1).
  • #1
musk
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Homework Statement


This is a general question, no real problem statement and is connected to solving Fourier series. You know that to solve it, you need to find [itex]a_{n}[/itex], [itex]a_{0}[/itex] and [itex]b_{n}[/itex].

Homework Equations


When solving the above mentioned ''coefficients'' you can get a solution with [itex]sin[/itex] or [itex]cos[/itex] which, in the case of [itex]cos(n\pi)[/itex] can be written as [itex](-1)^{n}[/itex] where [itex]n=0,1,2,...[/itex] since the solution alternates between [itex]0,1,-1[/itex]. Is there any similar way to write (or solve) [itex]sin[/itex] or [itex]cos\frac{n\pi}{2}[/itex] since the solution follows this pattern [itex]1,0,-1,0,1,0,-1,...[/itex]

Thank you in advance!
 
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  • #2
Typically you then have only odd or even terms, e.g. ##a_k \cos (k\omega t), k=1, 3, 5,\dots##. You can reindex the series using the substitution k=2n+1 or k=2n. The alternating sign is conveniently expressed by (-1)n or (-1)n+1.
 

FAQ: Exploring Alternating Solutions in Fourier Series

What is a Fourier series?

A Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine waves of different frequencies. It is used to decompose a complex function into simpler components for analysis and prediction.

Why are Fourier series important?

Fourier series are important because they allow us to represent non-periodic functions as a combination of simple periodic functions. This makes it easier to analyze and manipulate complex signals and functions in various fields such as physics, engineering, and mathematics.

How do you calculate a Fourier series?

The coefficients of a Fourier series can be calculated using integration techniques and trigonometric identities. The formula for the coefficients is known as the Fourier series formula and can be derived using mathematical techniques such as the Euler formula and the orthogonality of trigonometric functions.

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 waves, while a Fourier transform represents a non-periodic function as a continuous spectrum of frequencies. In other words, a Fourier series is used for periodic functions and a Fourier transform is used for non-periodic functions.

What are some real-world applications of Fourier series?

Fourier series have a wide range of applications in various fields such as signal processing, image and sound processing, data compression, and solving differential equations. They are also used in fields such as acoustics, optics, and quantum mechanics for analyzing and manipulating complex signals and functions.

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