Multiplication of fourier series

Click For Summary
SUMMARY

The multiplication of two functions, F(x,y) and G(x,y), expanded in finite Fourier series with coefficients F_ij and G_ij, results in a new function X=FG, which has its own Fourier series represented by components X_mn. The relationship between these coefficients is defined by the discrete convolution formula: X_{m,n}=\sum_{j=-\infty}^{\infty}\sum_{k=-\infty}^{\infty}F_{m-j,n-k}G_{j,k}. This operation is closely related to the Cauchy product and resembles the convolution theorem of the Fourier Transform.

PREREQUISITES
  • Understanding of finite Fourier series and their coefficients
  • Familiarity with the Cauchy product in series multiplication
  • Knowledge of discrete convolution operations
  • Basic principles of the Fourier Transform
NEXT STEPS
  • Study the Cauchy product in detail to understand series multiplication
  • Learn about discrete convolution and its applications in signal processing
  • Explore the convolution theorem of the Fourier Transform
  • Investigate finite Fourier series expansions for various functions
USEFUL FOR

Mathematicians, signal processing engineers, and students studying Fourier analysis who seek to understand the multiplication of Fourier series and its implications in various applications.

mordechai9
Messages
204
Reaction score
0
Say you have two functions, F(x,y), and G(x,y), and you want to expand them in finite Fourier series. Let their coefficients be designated as F_ij and G_ij. When you multiply the two functions, you get X=FG, and this should also have its own Fourier series, call its components X_mn. What is the relation between F_ij, G_ij, and X_mn?

I was hoping you had something like X_ij = F_ij G_ij, but I've been looking at this for a little while and it seems you don't have any nice relation like that.
 
Physics news on Phys.org
Check out the Cauchy product, which has to do with multiplying series.. Wikipedia has a good article on it http://en.wikipedia.org/wiki/Cauchy_product"
 
Last edited by a moderator:
In the case of "two dimensional sequences" you'll have:X_{m,n}=\sum_{j=-\infty}^{\infty}\sum_{k=-\infty}^{\infty}F_{m-j,n-k}G_{j,k}

This, by the way, resembles the convolution theorem of the Fourier Transform, and actually the above operation between two sequences (in this special case they are two dimensional) is a discrete convolution.
 

Similar threads

  • · Replies 33 ·
2
Replies
33
Views
3K
  • · Replies 23 ·
Replies
23
Views
6K
  • · Replies 11 ·
Replies
11
Views
2K
  • · Replies 139 ·
5
Replies
139
Views
11K
  • · Replies 8 ·
Replies
8
Views
5K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 10 ·
Replies
10
Views
2K
Replies
3
Views
2K