Can Factorization Always Solve Boundary Hermitian Eigenvalue Problems?

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This is because the eigenfunctions and eigenvalues depend on the specific boundary conditions and operators chosen. Therefore, it is not always possible to find two operators D_1 and D_2 that satisfy the given conditions. In summary, in general, it is not possible to find two operators D_1 and D_2 that satisfy the given conditions for a boundary Hermitian eigenvalue problem.
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given a boundary Hermitian eigenvalue problem

[tex]L= -\frac{d}{dx}\left[p(x)\frac{dy}{ dx}\right]+q(x)y=\lambda w(x)y [/tex]

with y=y(x) , in one dimension, can we always find two operators

[tex] D_{1} = \frac{d}{dx}+f(x) [/tex] and [tex] D_{2} = -\frac{d}{dx}+U(x) [/tex]

so [tex]L= D_{1} D_{2} [/tex], with [tex]Adj( D_{1}) = D_{2} [/tex] [tex]Adj( D_{2}) = D_{1} [/tex] ?

Also the eigenfunctions of L are of the form [tex] \Psi (x)= \phi_{2} (x) \phi _{1}(x) [/tex]

and the eigenvalues of L are of the form [tex] \lambda _{n} = s.s^{*} [/tex]
 
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, where s= \langle \phi _{2} \mid D_{1} \mid \phi _{1} \rangle ?No, this is not always possible. In general, it is not possible to find two operators D_1 and D_2 such that L=D_1D_2 since the boundary condition of the problem may be incompatible with the desired operators. For example, if the boundary condition involves a Dirichlet or Neumann condition, then the operators D_1 and D_2 would be incompatible with the boundary condition. Furthermore, in general, the eigenfunctions of L are not of the form \Psi (x)= \phi_{2} (x) \phi _{1}(x) and the eigenvalues of L are not of the form \lambda _{n} = s.s^{*} .
 

FAQ: Can Factorization Always Solve Boundary Hermitian Eigenvalue Problems?

What is a boundary problem?

A boundary problem is a type of problem that arises when trying to determine the behavior of a system at its boundaries. These boundaries can be physical, such as the edge of a material, or conceptual, such as the limits of a mathematical function.

What causes boundary problems?

Boundary problems can be caused by a variety of factors, such as incomplete or inconsistent data, assumptions made in modeling the system, or limitations in the methods used to solve the problem. In some cases, the complexity of the system itself may also contribute to the emergence of boundary problems.

How are boundary problems solved?

Solving boundary problems typically involves using mathematical and computational techniques to analyze the behavior of the system at its boundaries. This may include applying boundary conditions, using numerical methods, or using analytical solutions. In some cases, it may also involve adjusting model parameters or assumptions to better fit the data.

What are some real-world examples of boundary problems?

Boundary problems can be found in many different fields, including physics, engineering, and biology. Some examples include predicting the behavior of a material undergoing stress at its edges, determining the flow of fluids through a porous material, or modeling the spread of a disease at the border of a population.

How can boundary problems be avoided?

While boundary problems cannot always be completely avoided, careful attention to data collection, modeling assumptions, and solution methods can help reduce their occurrence. It is also important to consider the limitations of the system being studied and to use appropriate techniques to address any potential boundary issues.

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