Symmetric, self-adjoint operators and the spectral theorem

In summary: This domain is chosen so that the operators are essentially self-adjoint. In summary, the observables in quantum mechanics should be self-adjoint or essentially self-adjoint operators in order to ensure a well-defined algebra of operators. This is important for ensuring the consistency and accuracy of results in quantum mechanics.
  • #1
Neutrinos02
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Hi Guys,

at the moment I got a bit confused about the notation in some QM textbooks. Some say the operators should be symmetric, some say they should be self-adjoint (or in many cases hermitian what maybe means symmetric or maybe self-adjoint). Which condition do we need for our observables (cause they are not the same in the case of an infinite-dimensional Hilbertspace)?

If symmetric is enough why can we find an othonormal basis of eigenvectors (since the spectral theorem holds only for self-adjoint operators)?

Thanks for your help
 
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  • #2
The observables should be self-adjoint operators, but essential self-adjointness would do. There's no guarrantee for a purely real spectrum for a symmetric operator.
 
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  • #4
Thanks for your answers. The fact that the operator should be self-adjoint makes sense but there is one problem left.

If we assume that all the operators are self-adjoint and not defined everywhere (since they are unbounded) how can we make sure that the products of operators are well-definied, i.e. why is the image of the first in the domain of the second and so on?
 
  • #5
This is a very good question. Self-adjoint operators won't typically have the same domain, but it may happen that the maximal common domain of them is an essential self-adjointness domain and moreover this domain is also invariant for the polynomial algebra.
Example: the Schwartz test function space in R is a common dense everywhere invariant domain for the x, p and p^2 (this is the free particle Hamiltonian) operators. All 3 of them are esa when restricted to this space.
 
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  • #6
Neutrinos02 said:
If we assume that all the operators are self-adjoint and not defined everywhere (since they are unbounded) how can we make sure that the products of operators are well-defined, i.e. why is the image of the first in the domain of the second and so on?
In general this is not the case and the product need not exist. However, in most quantum theories of interest, there is an algebra of operators of interest with a fixed common dense domain (for ##N##-particle QM, the Schwartz space in ##3N## dimensions).
 
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1. What is a symmetric operator?

A symmetric operator is a linear operator on a vector space whose adjoint is equal to itself. In other words, for any two vectors x and y in the vector space, their inner product under the operator is equal to the inner product of their images under the operator.

2. What is a self-adjoint operator?

A self-adjoint operator is a symmetric operator on a complex vector space where the adjoint is equal to the operator itself. This means that the operator is its own inverse, and its eigenvalues are all real numbers.

3. What is the spectral theorem for self-adjoint operators?

The spectral theorem for self-adjoint operators states that any self-adjoint operator on a complex vector space can be diagonalized by a unitary matrix, and its eigenvalues are the entries on the diagonal of the resulting diagonal matrix.

4. How is the spectral theorem useful in quantum mechanics?

In quantum mechanics, self-adjoint operators represent physical observables such as energy, momentum, and position. The spectral theorem allows us to find the possible values of these observables, as well as the corresponding eigenvectors, which are the states of the system with well-defined values for the observable.

5. Can the spectral theorem be extended to non-self-adjoint operators?

Yes, there is a more general version of the spectral theorem that applies to normal operators, which are operators that commute with their adjoints. This includes self-adjoint operators as a special case, but also allows for non-symmetric operators. However, the resulting diagonal matrix may contain complex numbers, making it less useful for physical applications.

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