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Fourier Series & Sine & Cosine Series Video Lecture | Crash Course for IIT JAM Physics

FAQs on Fourier Series & Sine & Cosine Series Video Lecture - Crash Course for IIT JAM Physics

1. What is a Fourier series?

Ans. A Fourier series is a mathematical representation of a periodic function in terms of a sum of cosine and sine functions. It decomposes a periodic function into a combination of harmonic functions, allowing us to analyze and approximate complex waveforms.

2. How is a Fourier series different from a sine series and cosine series?

Ans. A Fourier series represents a periodic function using a combination of both sine and cosine functions, while a sine series represents a periodic function only using sine functions and a cosine series represents it only using cosine functions. Fourier series is more general and can represent a wider range of periodic functions.

3. What are the applications of Fourier series?

Ans. Fourier series has various applications in different fields such as signal processing, image compression, audio synthesis, heat conduction analysis, and solving partial differential equations. It is widely used in analyzing and manipulating periodic signals and functions.

4. How do you calculate the coefficients of a Fourier series?

Ans. To calculate the coefficients of a Fourier series, you need to find the integrals of the periodic function multiplied by cosine and sine functions over one period. These integrals are known as Fourier coefficients and can be determined using integration techniques and orthogonality properties of trigonometric functions.

5. Can Fourier series be used to approximate non-periodic functions?

Ans. No, Fourier series is specifically designed to represent periodic functions. It assumes that the function repeats itself over a specific interval. Therefore, it may not provide an accurate approximation for non-periodic functions. However, techniques like Fourier transform can be used to analyze and approximate non-periodic functions.

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Sep 21, 2025 Last updated

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