Understanding a question Fourier series

So, in summary, the problem is asking to evaluate various series of constants using Theorem 1.4, which states that for a periodic and piecewise differentiable function, the symmetric partial sums of the Fourier series converge to $\frac{1}{2}\left[f(\theta)+f(-\theta)\right]$ at each point $\theta$, and to $f(\theta)$ if the function is continuous at $\theta$. By choosing different values for $\theta$, one can observe the behavior of the Fourier series for $f(\theta)=\theta$ on the interval $(-\pi,\pi)$.
  • #1
Dustinsfl
2,281
5
Apply Theorem 1.4 to evaluate various series of constants.

Theorem 1.4: Let $f$ be periodic and piecewise differentiable. Then at each point $\theta$ the symmetric partial sums
$$
S_N(\theta) = \sum_{n=-N}^Na_ne^{in\theta}
$$
converge to $\frac{1}{2}\left[f(\theta)+f(-\theta)\right]$; if $f$ is continuous at $\theta$, they converge to $f(\theta)$.

So taking this series:
$$
2\sum_{n =1}^{\infty}\left[\frac{1}{2n-1}\sin(2n-1)\theta - \frac{1}{2n}\sin 2n\theta\right]
$$
What am I supposed to do?
 
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  • #2
dwsmith said:
Apply Theorem 1.4 to evaluate various series of constants.
That is a fairly vaguely worded problem. It looks as though they want you to see what Theorem 1.4 tells you about the Fourier series for the periodic function defined on the interval $(-\pi,\pi)$ by $f(\theta)=\theta$, by seeing what happens when you choose various values for $\theta.$ I would start by taking $\theta=\pi/2$. Next, look at what happens when $\theta=\pi$ (where the function $f(\theta)$ has a jump discontinuity).
 

FAQ: Understanding a question 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 with different frequencies and amplitudes. It is named after French mathematician Joseph Fourier and is commonly used in fields such as signal processing, physics, and engineering.

Why is it important to understand Fourier series?

Fourier series are used to analyze and describe periodic phenomena in various fields, making them a fundamental tool in scientific research and applications. By understanding Fourier series, one can better understand the behavior and properties of periodic functions and their applications in different areas.

How is a Fourier series calculated?

A Fourier series is calculated using a process called Fourier analysis, which involves decomposing a periodic function into its individual sine and cosine components. This can be done using mathematical formulas or through numerical methods such as the Fast Fourier Transform (FFT).

What are some real-world applications of Fourier series?

Fourier series have numerous applications in fields such as audio and image processing, telecommunications, and signal analysis. They are also used in physics to study wave phenomena and in engineering to design filters and control systems.

Can Fourier series be used to represent non-periodic functions?

No, Fourier series can only represent periodic functions. However, a related concept called the Fourier transform can be used to represent non-periodic functions by extending the frequency domain to include all frequencies, including those of non-periodic components.

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