On tempered distributions and wavefunctions

In summary: However, in the case of the radial wavefunction of the hydrogen atom, one cannot use a discrete basis as the radial wavefunction is an element of the rigged Hilbert space.
  • #1
dumpling
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Very often in standard QM books, certain states, like exponentially growing ones are rejected on the basis that they are not in L^2 space.
On the other hand, scattered states are also not in L^2 spaces. This dichotomy can be repelled by using Rigged Hilbert spaces, and allowing tempered distributions.
On the other hand, in the case of central potentials, one cannot just throw away singular solutions, as they too are tempered solutions, as far as I know.

How then, do we have to decide which states are physical, even as a basis?
 
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  • #2
States at fixed time must be square integrable. Wave functions needed to analyze these need not.
 
  • #3
I know that, that is the whole idea behind allowing basis to be in the rigged Hilbert-space, is it not?
 
  • #4
dumpling said:
I know that, that is the whole idea behind allowing basis to be in the rigged Hilbert-space, is it not?
I don't understand what you are asking. The Dirac kets ##|x\rangle## or ##|p\rangle## don't form a basis but belong to the rigged Hilbert space and are used to describe states. They are physical in the sense that they are used by physicists for the analysis of quantum situations but not in the sense that they can be states of some physical system.
 
  • #5
What is the exact reasoning, that for example in the case of the radial wavefunction of hydrogen atom, we do not use singular solutions as basis, when some of those would be elements of the rigged hilbert-space?
 
  • #6
In general one can use any basis but experience shows that well chosen ones lead to more tractable formulas. So one chooses according to what one knows from similar cases.

Typically, continuous ':bases' ' are most useful for scattering problems while discrete bases are more useful for bound state problems.
 
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FAQ: On tempered distributions and wavefunctions

What are tempered distributions?

Tempered distributions are a type of generalized function used in mathematical analysis and physics to extend the concept of a function to a larger class of objects. They are also known as tempered measures or tempered generalized functions.

How are tempered distributions related to wavefunctions?

In quantum mechanics, wavefunctions describe the probability amplitude of a particle in a given state. They are also tempered distributions, which allows for the use of distribution theory in solving quantum mechanical problems.

What is the difference between a regular function and a tempered distribution?

A regular function is a smooth, well-defined function that can be evaluated at every point in its domain. A tempered distribution, on the other hand, may not be well-defined at every point and requires integration against a test function to be evaluated.

How are wavefunctions and tempered distributions used in solving quantum mechanical problems?

Wavefunctions are used to describe the behavior of quantum systems, while tempered distributions provide a mathematical framework for solving these systems using distribution theory instead of traditional calculus methods.

What are some applications of tempered distributions and wavefunctions in other fields?

Aside from their use in quantum mechanics, tempered distributions and wavefunctions have applications in signal processing, image processing, and solving partial differential equations in mathematical physics.

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