I wonder what the name of this normalization process is

In summary, the normalization process for this scenario involves using a non-hermitian operator and ensuring that it has real eigenvalues for corresponding observables. The normalization constant is arbitrary and can be adjusted due to non-orthogonal eigenvectors.
  • #1
td21
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I wonder what the name of this normalization process is for better reference.

The scenario is like this:

$$\left|\Psi\right> = \frac{1}{\sqrt{6}}\left(\left|a\right>+\left|b\right>+\left|c\right>+\left|d\right>+\left|e\right>+\left|f\right>\right)$$
where each of the components inside the bracket is orthonormal to each other.

$$M$$ is an operator which is non-hermitian.
$$M\left|\Psi\right> = \frac{1}{\sqrt{6}}\left(\left|a'\right>+\left|b'\right>+\left|c'\right>+\left|d'\right>+\left|e'\right>+\left|f'\right>\right).$$

If $$\left|a'\right>=\left|d'\right>$$, $$\left|b'\right> = \left|e'\right>$$, $$\left|c'\right> = \left|f'\right>$$,

then $$H\left|\Psi\right> = \frac{2}{\sqrt{6}}\left(\left|a'\right>+\left|b'\right>+\left|c'\right>\right).$$

We have to normalize this new state. What is this normalization principle called in quantum mechanics or any textbook regarding this? Thank you very much.
 
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  • #2
I don't know if it has a name but it simply comes from your non-hermitian operator, which as I understand it are only used as a mathematical convenience in quantum mechanics. What matters is that they have real eigenvalues so they can correspond to observables. The choice of normalization constant was arbitrary to begin with, since A*psi is a solution if psi is one, I don't think it matters very much... you can just accept it as a consequence of having non-orthogonal eigenvectors as a result of non-hermiticity and renormalize.
 

FAQ: I wonder what the name of this normalization process is

What is normalization in science?

Normalization in science is the process of standardizing data or measurements to a common scale or unit. This helps to eliminate bias and allows for easier comparison and analysis of data.

Why is normalization important in scientific research?

Normalization is important in scientific research because it allows for accurate and meaningful comparisons between data sets. It also helps to control for variables and ensure that any observed differences are not due to inconsistencies in measurement.

What are the different types of normalization?

There are several types of normalization, including z-score normalization, min-max normalization, and decimal scaling. Each type has its own specific formula and purpose, but they all aim to transform data into a standard scale.

What are the potential drawbacks of normalization?

One potential drawback of normalization is that it can distort the original data and make it difficult to interpret. Additionally, it may not be appropriate for all types of data and can be influenced by outliers or extreme values.

How can I determine which normalization method to use?

The best normalization method to use will depend on the type of data and the specific research question. It is important to carefully consider the purpose of the data and any potential biases before choosing a normalization method.

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