Normalizeable solutions when separating the SED

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In summary, the conversation discusses the requirement for the separation constant E in the solutions of the Schrödinger equation to be real in order for the solutions to be normalized. The issue arises when using a complex separation constant, resulting in a wave function that cannot be normalized for all t. However, it is argued that the wave function can still be normalized for finite t and that this property is important for the Schrödinger equation. The need for imaginary exponential arises from Stone's theorem, which is necessary to derive the Hamiltonian and ensure time evolution is represented by a unitary operator.
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Hey guys,
I recently did an exercise whose purpose was to show what we must require from the separation constant E (when separating the SED) for the solutions to be normalized. The point was that it must be real since a complex one yields a wave function of the form:
ψ(x,t) = A(x)exp(at)
And this can't be normalized for all t. But the problem is for me: It can be normalized for all finite t, and I have shown in an earlier exercise that when the wave function is normalized at one time t0 then it stays normalized in the future (I believe this is a very important property of the SED). So isn't there some kind of inconsistensy here?
 
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The necessity of imaginary exponential comes from the theorem of Stone which in turn is needed to get to the generator of time translations, the Hamiltonian. The time evolution must be represented by a norm preserving operator, thus this is necessarily unitary.
 

What are normalizeable solutions when separating the SED?

Normalizeable solutions refer to the process of adjusting the values of a mathematical equation in order to simplify or standardize it. When separating the SED (spectral energy distribution), normalizeable solutions are used to remove any scale factors or biases in the data, making it easier to analyze and compare with other data sets.

Why is it important to use normalizeable solutions when separating the SED?

By using normalizeable solutions, we can remove any inconsistencies or variations in the data that may be caused by different measurement techniques or instruments. This allows for more accurate and reliable comparisons between different SEDs, helping us to better understand the underlying physical processes at work.

How do we determine the appropriate normalizeable solutions for a given SED?

The appropriate normalizeable solutions for a given SED depend on the specific data set and the goals of the analysis. This may involve adjusting for factors such as distance, wavelength, or flux density. Scientists will use their knowledge and expertise to determine the most appropriate methods for normalizing the data.

Can normalizeable solutions be applied to all types of SEDs?

Yes, normalizeable solutions can be applied to all types of SEDs, including those from different astronomical objects or at different wavelengths. However, the specific methods used may vary depending on the type of SED and the goals of the analysis.

Are there any limitations to using normalizeable solutions when separating the SED?

While normalizeable solutions can be highly effective in simplifying and standardizing SED data, they may not account for all possible sources of error or variability in the data. It is important for scientists to carefully consider the limitations and potential biases of the data when using normalizeable solutions in their analysis.

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