Puzzled by A coupled system of PDEs

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SUMMARY

The discussion centers on solving a system of three coupled linear second-order partial differential equations (PDEs) characterized by constants A and B, with the variable U represented as (Ux, Uy, Uz). The user attempted Fourier transformation, resulting in six coupled linear ordinary differential equations (ODEs), successfully identifying eigenvalues but struggling with eigenvector computation. Recommendations include using Mathematica's DSolve for explicit solutions, NDSolve for numerical solutions, and the Eigenvectors function for eigenvector calculations, emphasizing the necessity of familiarity with Mathematica for effective problem-solving.

PREREQUISITES
  • Understanding of coupled linear second-order partial differential equations (PDEs)
  • Familiarity with Fourier transformation techniques
  • Proficiency in using Mathematica, specifically DSolve and NDSolve functions
  • Knowledge of eigenvalues and eigenvectors in linear algebra
NEXT STEPS
  • Learn how to use Mathematica's DSolve function for solving PDEs
  • Explore Mathematica's NDSolve function for numerical solutions of PDEs
  • Study the process of computing eigenvectors using Mathematica's Eigenvectors function
  • Investigate boundary and initial value problems in the context of PDEs
USEFUL FOR

Mathematicians, physicists, and engineers dealing with coupled PDEs, as well as students and researchers looking to enhance their skills in using Mathematica for solving complex differential equations.

Dr_Noface
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Sorry about the format, bit I have no knowledge of LateX.

A,B - are real constants

U=(Ux,Uy,Uz)

I have a system of three coupled linear second order differential equations

(di)^2(Ui) +A*Laplacian(Ui)+ B*di[Divergence(U)]

Note: The first term is not a sum.

0<z<H, while x & y can be any real number. I have some more boundary conditions, but I feel as if I'm nowhere close to that stage.

I'm pretty stumped. I tried Fourier transforming (in x & y) and end up with a system of six coupled linear ODEs. I can find the eigenvalues (they're the roots of a cubic equation), but solving for the eigenvectors is an awful algebraic exercise. Is there anything I'm missing?
 
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Dr_Noface said:
I'm pretty stumped. I tried Fourier transforming (in x & y) and end up with a system of six coupled linear ODEs. I can find the eigenvalues (they're the roots of a cubic equation), but solving for the eigenvectors is an awful algebraic exercise. Is there anything I'm missing?

I'd first try to directly solve the coupled PDEs explicitly via Mathematica's DSolve function. Probably won't do. Next, I'd then try to directly solve numerically the coupled PDEs via Mathematica's NDSolve function. May be some issues with providing acceptable boundary and initial values to NDSolve there. Next, I'd use Mathematica's Eigenvectors function to compute the eigenvectors of your coupled ODE system. In general, if the objective is the solution and not practice doing it manually, then I'd rely heavily on using Mathematica to solve it.

If you're not familiar with Mathematica then really need to try to become so. If you post the matrix in a way I can understand it, I'll run Eigenvalue/Eigenvector for you in Mathematica.
 

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