Graduate Spectral Theorem to Convert PDE into ODE

Click For Summary
The discussion centers on the applicability of the Fourier spectral theorem for converting partial differential equations (PDEs) into ordinary differential equations (ODEs) to utilize numerical methods like Exponential Time Differencing (ETD) and Runge-Kutta (RK). The original poster questions whether this conversion is universally valid for all types of PDEs. They reference existing resources that illustrate the use of Fourier series in this context. The consensus leans towards skepticism about the universal applicability of the Fourier spectral theorem for all PDEs. The inquiry highlights the complexities involved in numerical approximations of PDEs compared to ODEs.
mertcan
Messages
343
Reaction score
6
Hi, in the link https://math.stackexchange.com/ques...ear-pde-by-an-ode-on-the-fourier-coefficients there is a nice example related to spectral theorem using Fourier series. Also in the link http://matematicas.uclm.es/cedya09/archive/textos/129_de-la-Hoz-Mendez-F.pdf you can see that in order to solve PDE using Exponential Time Differencing (ETD scheme) or Runge Kutta (RK) or ETDRK scheme conversion of PDE to ODE is required to use previous numerical methods. My question is : Can we always convert any kind of PDE into ODE using Fourier spectral theorem in order to employ Exponential Time Differencing (ETD scheme) or Runge Kutta (RK) or ETDRK numerical approximation method? I am asking because there are other methods for conversion but I wonder ALWAYS FOURIER SPECTRAL THEOREM works??
 
Physics news on Phys.org
My question is so simple : Can we always convert any kind of PDE into ODE using Fourier spectral theorem in order to employ Exponential Time Differencing (ETD scheme) or Runge Kutta (RK) or ETDRK numerical approximation method?

For more details or related links then you can see my post 1...
 
i do not know the answer but in view of the often stated opinion that ode is a standard base of theory and pde is not, i guess: no!
 

Similar threads

Replies
2
Views
3K
Replies
3
Views
3K
  • · Replies 13 ·
Replies
13
Views
3K