Fourier transform of particles on a loaded string

In summary, to Fourier transform the quantity \Sigma (x_(j+1) - x_j)^2 with the given equations and assumptions, first factor out e^{-iqk/2} and use the identity e^{iqk/2} - e^{-iqk/2} = 2\sin{qk/2}. Then, apply the Fourier transform definition and sum over k from 0 to (N-1) to get the desired answer.
  • #1
Mrbluesky323
3
0

Homework Statement


Can someone tell me how to Fourier transform this quantity:
[tex]\Sigma[/tex] (x_(j+1) - x_j)^2

where the sum is from j=1 to N

Homework Equations


Define the Fourier transform as
x_j = [tex]\Sigma[/tex] A_k *exp(-iqkj)
**Where i is sqrt(-1)
**The Sum is from k=0 to (N-1)
**q = (2*pi)/N
**Assume periodic boundary conditions (i.e. x_(N+1) = x_1)


The Attempt at a Solution



I get to

[tex]\Sigma[/tex]j ([tex]\Sigma[/tex]k Ak* exp(-iqkj) (exp(-iqk) - 1))^2

I'm told the answer one arrives at ought to be:

[tex]\Sigma[/tex]k Ak* A-k*(2sin(qk/2))^2
I'm not sure how to get there from where i am.
Any help would be appreciated.
 
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  • #2
As a first step, factor out [itex]e^{-iqk/2}[/itex] from the expression [itex]e^{-iqk}-1[/itex] and note the identity:
[tex] e^{iqk/2} - e^{-iqk/2} = 2\sin{qk/2}[/tex]
 

FAQ: Fourier transform of particles on a loaded string

What is a Fourier transform?

A Fourier transform is a mathematical tool that decomposes a function or signal into its individual frequency components. It is commonly used in fields such as physics, engineering, and mathematics to analyze and understand complex signals.

How is a Fourier transform used in studying particles on a loaded string?

In the context of studying particles on a loaded string, a Fourier transform can be used to analyze the motion of the particles and understand how different frequencies contribute to the overall motion of the string. This can help in predicting the behavior of the string under different conditions.

What is the significance of a loaded string in relation to the Fourier transform?

A loaded string is a physical system that can exhibit complex motion due to the interactions between particles on the string. By using a Fourier transform, we can break down this complex motion into simpler frequency components, making it easier to analyze and understand.

How is a Fourier transform of particles on a loaded string different from a regular Fourier transform?

A Fourier transform of particles on a loaded string takes into account the interactions between the particles, whereas a regular Fourier transform is used for analyzing a single function or signal. This means that the resulting frequency components in a Fourier transform of particles on a loaded string may be more complex and interconnected.

Are there any limitations to using a Fourier transform in studying particles on a loaded string?

While a Fourier transform can provide valuable insights into the motion of particles on a loaded string, it does have some limitations. It assumes that the string is linear and that the particles are in a steady state, which may not always be the case in real-world scenarios. Additionally, it may not fully capture the effects of nonlinear interactions between particles.

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