How exactly does diagonalization work and how is it useful in qm?

In summary, diagonalization is a mathematical process used to find eigenvectors and eigenvalues of a linear operator, such as the Hamiltonian in quantum mechanics. It involves representing the operator as a matrix and solving the matrix diagonalization problem. It is an important tool in understanding the allowed energy spectrum in quantum mechanics.
  • #1
captain
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how exactly does it work and how is it useful in qm?
 
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  • #2
All these questions you keep asking are found either on wikipedia or in any textbook on the subject.

Also, its sort of pointless to explain what nonabelian anomalies are if you don't know what diagonalization means and is used for. There's a separation of about 4 years worth of undergrad material before the latter makes sense.

So if you truly are interested in all this physics material, I highly recommend starting from the beginning and working your way through step by step. Otherwise its all going to be hopelessly opaque and serves no purpose other than to clutter the board up.
 
  • #3
captain said:
how exactly does it work and how is it useful in qm?

The stationary Schroedinger equation

[tex] H | \Psi_n \rangle = E_n|\Psi_n \rangle [/tex]...(1)

is used to find eigenvectors [itex] | \Psi_n \rangle [/itex] and eigenvalues [itex] E_n [/itex] (allowed energy spectrum) of the Hamiltonian [itex] H [/itex]. Since Hamiltonian [itex] H [/itex] is a linear operator, it can be represented by a matrix in an appropriate basis. Then eq. (1) becomes the traditional matrix diagonalization problem.

Eugene.
 

1. What is diagonalization in quantum mechanics?

Diagonalization in quantum mechanics is a mathematical process used to transform a matrix into a diagonal matrix, where all the non-diagonal elements are zero. This is achieved by finding the eigenvalues and eigenvectors of the original matrix.

2. How is diagonalization useful in quantum mechanics?

Diagonalization is useful in quantum mechanics because it simplifies the mathematical representation of quantum systems, making it easier to perform calculations and analyze the behavior of the system. It also helps to identify the energy levels and corresponding eigenstates of a quantum system.

3. Can you explain the process of diagonalization in quantum mechanics?

The process of diagonalization involves finding the eigenvalues and eigenvectors of a given matrix. The eigenvectors are then used to construct a new matrix, called the diagonal matrix, which has the eigenvalues along the diagonal and zeros everywhere else.

4. How does diagonalization relate to the uncertainty principle in quantum mechanics?

Diagonalization relates to the uncertainty principle in quantum mechanics because it allows us to find the eigenvalues and eigenvectors of a quantum system, which in turn helps us to determine the energy levels and allowed states of the system. This information is crucial in understanding and applying the uncertainty principle.

5. Are there any limitations to diagonalization in quantum mechanics?

Yes, there are limitations to diagonalization in quantum mechanics. It can only be applied to matrices that are Hermitian, which means they have real eigenvalues. It also does not work for non-linear systems, and it may not provide an exact solution for complex systems with many particles.

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