Solving Conventional PDEs: Separation of Variables and Eigen Theory

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Discussion Overview

The discussion revolves around methods for solving conventional partial differential equations (PDEs), specifically focusing on the separation of variables and eigenvalue theory. Participants explore the relationship between these methods and their applicability to linear and nonlinear equations, as well as the use of alternative approaches like symmetry analysis.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that solving conventional PDEs typically involves using the separation of variables method followed by eigenvalue and eigenfunction theory to construct solutions that satisfy boundary and initial conditions.
  • Others argue that while separation of variables and eigen theory are closely related, they can be seen as distinct methods that may not always be interchangeable, particularly in the context of nonlinear PDEs.
  • A participant mentions that the choice of function space, such as Sobolev spaces, can affect the applicability of these methods.
  • Another participant introduces symmetry analysis as a general method for solving PDEs, suggesting it may be more broadly applicable than separation of variables and eigenvalue methods.

Areas of Agreement / Disagreement

Participants express differing views on the relationship between separation of variables and eigen theory, with some asserting their intimate connection and others highlighting their distinctions, particularly in the context of nonlinear equations. The discussion remains unresolved regarding the superiority or exclusivity of any method.

Contextual Notes

Limitations include the dependence on the type of PDE (linear vs. nonlinear) and the choice of function space, which may restrict the applicability of certain methods.

pivoxa15
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For conventional PDEs like diffusion, waves, it seems the standard way to solving them is in two steps.

1. Use separation of variables method to make them into ODEs
2. Use eigenvalues and eigenfunctions theory on ODEs to construct the final solution consisting of an infinite number of eigenfunctions which statisfies the BC and intintial conditions. Some people say that to solve them you use either separation of variables technique or eigen theory. But to me they are intimately related and both are needed in solving PDEs. Am I correct?
 
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pivoxa15 said:
For conventional PDEs like diffusion, waves, it seems the standard way to solving them is in two steps.

1. Use separation of variables method to make them into ODEs
2. Use eigenvalues and eigenfunctions theory on ODEs to construct the final solution consisting of an infinite number of eigenfunctions which statisfies the BC and intintial conditions.


Some people say that to solve them you use either separation of variables technique or eigen theory. But to me they are intimately related and both are needed in solving PDEs. Am I correct?
They are intimately related, if they apply to linear equations.
In this case there is no difference amount them as well as with similar method of Green functions.
But if the PDE are nonlinear sometimes you can separate the variables in contrast to the Green function method which does not work.
 
It solve by which space you choose?
if continuous functions ok no problem
but if you solve on other spaces like sobolev spaces, in this case your method will not be avalable
 
Hi, pivoxa,

There are many possible methods which can be considered "standard attacks" on various types of PDEs, but certainly separation of variables (which rests upon Sturm-Liouville theory and eigenthings) is one of the more general. Another general method (actually, it can claim to be in some sense the MOST general method) is symmetry analysis, a powerful generalization of dimensional analysis. There are many excellent textbooks on this method; one which emphasizes applications to fluid dynamics is Cantwell, Introduction to Symmetry Analysis.

Chris Hillman
 
Last edited:

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