A claim regarding Fourier Series

In summary, in the Tautochrone problem, the term ##m=0## is typically left out as it is not necessary to include in the equations. The integrand in the problem represents the kinetic energy of the system and by integrating it, we can set up the Dirichlet conditions and determine that the period of the system is equal to 1.
  • #1
Raihan amin
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TL;DR Summary
Claim : "A periodic function ##f(u)## satisfying ##\int_{0}^{1}f(u)du=0## can generally expanded into a Fourier Series: ##f(u)=\sum_{m=1}^{\infty} [a_m \sin{(2\pi mu)}+b_m\cos{(2\pi mu)}]## "
This is written on Greiner's Classical Mechanics when solving a Tautochrone problem.
Firstly,I don’t understand why we didn’t use the term ##m=0##
and Sencondly, how the integrand helps us to fulfill the Dirichlet conditions. That means,how do we know that the period is 1?Thanks
 
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  • #2
Hi,
Raihan amin said:
why we didn’t use the term ##m=0##
##\int_{0}^{1}f(u)du=0 ## makes ##b_0=0##. The coefficient ##a_0## is arbitrary, so ##m=0## is better left out.

Periodicity is built in through ## \sin\left(2\pi m (u+1) \right ) ## ## = \sin\left(2\pi m u \right ) ## and idem ##\cos##.
 
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  • #3
for any help!Hi there,

I'm not sure what specific Tautochrone problem you are referring to, but I can try to help clarify some things.

To answer your first question, the term ##m=0## is typically used in physics to represent a massless particle or object. In classical mechanics, we often assume that particles have some nonzero mass, so it may seem strange to use ##m=0## in a problem. However, in certain situations, such as when dealing with a pendulum of negligible mass or a massless string, it can be useful to simplify the equations by setting ##m=0##.

As for your second question, the integrand in a Tautochrone problem typically represents the kinetic energy of the system. By integrating this expression over time, we can determine the total energy of the system, which is constant due to the conservation of energy. This allows us to set up the Dirichlet conditions, which state that the period of the system must be the same regardless of the initial conditions. In other words, the system will always take the same amount of time to complete one cycle, regardless of how it is initially set up. By solving for the period, we can then determine that it is equal to 1.

I hope this helps! Let me know if you have any further questions.
 

Related to A claim regarding Fourier Series

1. 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 is used to analyze and approximate periodic signals in various fields such as physics, engineering, and mathematics.

2. How is a Fourier series calculated?

A Fourier series is calculated by finding the coefficients of the sine and cosine functions that make up the series. These coefficients are determined by integrating the original function over one period and using them in the formula for the Fourier series.

3. What are the applications of Fourier series?

Fourier series have a wide range of applications in various fields such as signal processing, image and sound compression, solving differential equations, and analyzing periodic phenomena in physics and engineering.

4. Can any function be represented by a Fourier series?

No, not all functions can be represented by a Fourier series. The function must be periodic and have a finite number of discontinuities in order to have a valid Fourier series representation.

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

A Fourier series is used to represent a periodic function as a sum of sine and cosine functions, while a Fourier transform is used to represent a non-periodic function as a sum of complex exponential functions. Additionally, a Fourier series has a discrete frequency domain, while a Fourier transform has a continuous frequency domain.

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