On the orthogonality of Sturm-Liouville eigenvectors

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Discussion Overview

The discussion revolves around the orthogonality of eigenvectors associated with the Sturm-Liouville differential equation (SLDE). Participants explore the implications of boundary conditions on orthogonality, the nature of solutions for repeated eigenvalues, and the conditions under which the orthogonality theorem holds. The scope includes theoretical aspects and mathematical reasoning related to the SLDE.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that the orthogonality of solutions to the SLDE is contingent upon satisfying homogeneous boundary conditions, questioning whether inhomogeneous conditions would invalidate the orthogonality relation.
  • Others argue that homogeneous boundary conditions are a prerequisite for Sturm-Liouville's theorem, asserting that superpositions of solutions with inhomogeneous conditions do not yield valid solutions.
  • There is a discussion about the nature of solutions when eigenvalues are repeated, with some participants suggesting that while there are two linearly independent solutions for each eigenvalue, the boundary conditions determine the existence of non-trivial solutions.
  • A later reply seeks clarification on whether boundary conditions reduce the number of non-trivial solutions per eigenvalue to one, linking this to the orthogonality of eigenvectors.

Areas of Agreement / Disagreement

Participants express differing views on the implications of boundary conditions for orthogonality and the nature of solutions for repeated eigenvalues. The discussion remains unresolved regarding the specifics of how boundary conditions affect the orthogonality of eigenvectors within the same eigensubspace.

Contextual Notes

Limitations include assumptions about the nature of boundary conditions and their impact on the solutions of the SLDE, as well as the dependence on specific definitions of orthogonality in the context of eigenvectors.

mjordan2nd
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From what I understand, solutions to the Sturm-Liouville differential equation (SLDE) are considered to be orthogonal because of the following statement:

\left( \lambda_m-\lambda_n \right) \int_a^b w(x) y_m(x)y_n(x) dx = 0

My first question involves the assumptions that go into this equation. One of the assumptions that go into this equation is that the solutions to the SLDE satisfy the Dirichlet, Neumann, or mixed homogeneous boundary conditions, correct? If the boundary conditions were inhomogeneous then the above equation would not necessarily be true, correct? Is it then correct to say that solutions to the SLDE are only orthogonal if they satisfy homogeneous boundary conditions?

My second question involves the case when \lambda_m=\lambda_n. Since the SLDE is a second order ordinary differential equation there should be two linearly independent solutions for each eigenvalue. So even if \lambda_m=\lambda_n, that doesn't necessarily mean y_m=y_n. In this case, it is not clear that these two solutions are orthogonal. I can buy that every eigensubspace of the SLDE is orthogonal to the others, however what about two vectors belonging to the same subspace?

Thanks
 
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mjordan2nd said:
If the boundary conditions were inhomogeneous then the above equation would not necessarily be true, correct? Is it then correct to say that solutions to the SLDE are only orthogonal if they satisfy homogeneous boundary conditions?

Having homogeneous boundary conditions are a prerequisite of Sturm-Liouville's theorem. You cannot make superpositions of solutions with inhomogeneous boundary conditions and get new solutions fulfilling the same boundary conditions.

mjordan2nd said:
Since the SLDE is a second order ordinary differential equation there should be two linearly independent solutions for each eigenvalue.

No, this is not true. For each possible value of the eigenvalue, there will be two independent solutions. However, the boundary conditions will take care of this and determine whether or not a non-trivial solution is possible for that eigenvalue.
 
Thank you for your response!

Orodruin said:
However, the boundary conditions will take care of this and determine whether or not a non-trivial solution is possible for that eigenvalue.

I am unclear about what you mean. Do you mean to say that the boundary conditions will reduce the number of nontrivial solutions per eigenvalue to one? Because this is the only way I can see that the equation I posted above proves that all eigenvectors are mutually orthogonal.
 
Yes. They will also tell you what eigenvalues are allowed. My suggestion is to work it out in the absolutely easiest case of the SL operator ##-d^2/dx^2## on the interval ##[0,1]##.
 

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