Quantum Physics 2nd Year Exam Help: Understanding Fourier Series

In summary, a Fourier series is a mathematical representation of a periodic function as a sum of sine and cosine functions. It is used in various fields to understand and analyze complex periodic phenomena. To find the coefficients of a Fourier series, one must determine the period of the function and then use formulas involving integrals. This is different from a Fourier transform, which is used for non-periodic functions and provides information about the frequency components of a function. Fourier series have many real-life applications, including sound and image processing, circuit analysis, and data compression, and are even used in fields like astronomy to analyze signals from stars and galaxies.
  • #1
robgb
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I have a quantum physics 2nd year undergraduate exam in a few weeks, I'm a complete beginner to Fourier series, can anyone help explain how to answer this question please? Thanks, rob.

The question is http://mobilecrazy.net/fourier.jpg
 
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  • #2
For part (a), you use an identity for the integral of a product of two trigonometric functions over a whole number multiple of the period. This is called the orthogonality condition, or orthogonality integral.

For part (b), you use this result from part (a) and and the orthogonality idea to solve it.
 
  • #3


Hi Rob,

First of all, don't worry if you are a complete beginner to Fourier series. It may seem intimidating at first, but with some practice and understanding, you will be able to tackle this question and any other related questions on your exam.

Fourier series is a mathematical tool used to represent periodic functions as a combination of sine and cosine functions. In simple terms, it breaks down a complex function into simpler components. This is particularly useful in quantum physics as many physical phenomena are periodic in nature.

Now, let's take a closer look at the question you have provided. The question asks you to find the Fourier series for the given function f(x) = x on the interval [-π, π]. The first step in answering this question is to understand the formula for a Fourier series. It is given by:

f(x) = a0/2 + ∑(n=1 to ∞) [an cos(nx) + bn sin(nx)]

where a0, an, and bn are known as the Fourier coefficients. These coefficients can be calculated using the following formulas:

a0 = (1/π) ∫[-π, π] f(x) dx

an = (1/π) ∫[-π, π] f(x) cos(nx) dx

bn = (1/π) ∫[-π, π] f(x) sin(nx) dx

Now, let's apply these formulas to the given function f(x) = x. First, we need to calculate the Fourier coefficient a0. Using the formula, we get:

a0 = (1/π) ∫[-π, π] x dx = 0

Next, we need to calculate the coefficients an and bn. Since f(x) = x is an odd function, all the even terms (cosine terms) will be equal to 0. Therefore, we only need to calculate the odd coefficients. Using the formulas, we get:

an = 0 for all n (since f(x) = x is an odd function)

bn = (1/π) ∫[-π, π] x sin(nx) dx = (2/πn) [1 - cos(nπ)]

Now, we have all the coefficients and we can write the Fourier series for f(x) = x as:

f(x) = ∑(n=1 to ∞) [(2/πn) [1 - cos(nπ)] sin
 

FAQ: Quantum Physics 2nd Year Exam Help: Understanding 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 functions. It allows us to decompose a complex function into simpler components and understand its behavior.

Why do we use Fourier series?

Fourier series are used in many fields, including engineering, physics, and mathematics, to model and analyze complex periodic phenomena. They are also used in digital signal processing to convert a signal from the time domain to the frequency domain.

How do I find the coefficients of a Fourier series?

To find the coefficients of a Fourier series, you first need to determine the period of the function. Then, you can use the formulas for the coefficients of the sine and cosine terms to calculate their values. These formulas involve integrals, so you may need to use integration techniques to evaluate them.

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

A Fourier series is used to represent a periodic function, while a Fourier transform is used to analyze non-periodic functions. A Fourier transform also gives us information about the frequency components of a function, whereas a Fourier series only gives us information about the harmonics of a periodic function.

Are there any applications of Fourier series in real life?

Yes, Fourier series are used in many real-life applications, such as sound and image processing, circuit analysis, and data compression. They are also used in fields like astronomy, where they can help analyze signals from stars and galaxies.

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