Understanding the Disappearance of 2*A^*<A> and 2*B^*<B> in Derivations

  • Thread starter M. next
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In summary, the conversation is discussing how to calculate the expectation value of a term and how this relates to taking the expectation value of the square of the term. The key is to remember that the expectation value is equal to the square of the term minus the square of the expectation value. This is demonstrated through a mathematical example and clarification is given to ensure understanding.
  • #1
M. next
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Hello guys,

Check the attachment please.
How is it what's written after "HENCE"?
Where did 2*A^*<A> term go?
the same thing for 2*B^*<B>??
 

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  • #2
It was absorbed generating a term similar to the one already there, namely <A>^2 or <B>^2.

<A>^2 - 2<A><A> + <A^2> = <A^2> + <A>^2 - 2 <A>^2 = <A^2> - <A>^2 and the same for B.
 
  • #3
thanks for your reply,

but you wrote: <A>^2 - 2<A><A> + <A^2>
it is supposed to be: <A>^2 - 2<A>A + A^2

see figure please
 
  • #4
M. next said:
thanks for your reply,

but you wrote: <A>^2 - 2<A><A> + <A^2>
it is supposed to be: <A>^2 - 2<A>A + A^2

If you have a look at the figure you have posted, you will see that you are supposed to take the expectation value of that second line you just gave (<A>^2 - 2<A>A + A^2). Taking the expectation value of that line gives you the first line you just gave (<A>^2 - 2<A><A> + <A^2>).
 
  • #5
how come?
i didn't get it, mind elaborating?
 
  • #6
The key is to remember that [itex]\langle A \rangle \equiv \langle \psi | A | \psi \rangle[/itex].

So we have:
[tex]\langle \psi | (\Delta A)^2 | \psi\rangle = \langle \psi | \hat{A}^2 - 2\hat{A}\langle \hat{A} \rangle + \langle \hat{A} \rangle ^ 2 | \psi \rangle \\
= \langle \psi | \hat{A}^2 | \psi \rangle - 2\langle \hat{A} \rangle \langle \psi | \hat{A} | \psi \rangle + \langle \hat{A} \rangle ^2 \langle \psi | \psi \rangle \\
= \langle \hat{A}^2\rangle - 2\langle \hat{A}\rangle \langle \hat{A} \rangle + \langle \hat{A} \rangle^2 \\
= \langle \hat{A}^2\rangle - \langle \hat{A}\rangle ^2[/tex]

Does that make sense?
 
  • #7
Yes Very!
Thank you very much Chopin.
 

1. What is a derivation in science?

A derivation in science refers to the process of obtaining a conclusion or result from a set of assumptions or principles through logical reasoning and mathematical calculations. It is a fundamental aspect of scientific research and is essential for understanding and explaining natural phenomena.

2. Why is derivation important in science?

Derivation is important in science because it allows scientists to test and validate theories and hypotheses. By starting with a set of assumptions and using logical reasoning and mathematical calculations, scientists can arrive at a conclusion that can be compared to experimental results. This helps in understanding and predicting natural phenomena and advancing scientific knowledge.

3. How is derivation different from experimentation?

Derivation and experimentation are two different approaches in scientific research. Derivation involves using logical reasoning and mathematical calculations to arrive at a conclusion, while experimentation involves conducting tests and gathering data to support or refute a hypothesis. Both approaches are important and often used together in the scientific method.

4. What are the limitations of derivation in science?

While derivation is a powerful tool in science, it also has its limitations. It relies on the accuracy of assumptions and mathematical calculations, which may not always accurately reflect real-world conditions. Additionally, derivation cannot account for all variables and factors, which is why experimentation is often needed to validate derived conclusions.

5. What are some examples of derivation in science?

There are many examples of derivation in science, including the derivation of the ideal gas law in chemistry, the derivation of the gravitational force equation in physics, and the derivation of the Hardy-Weinberg principle in biology. These examples show how derivation is used to derive fundamental principles and equations that are used to explain and predict natural phenomena.

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