Computing Expectation Values: What Makes Sense?

In summary, it is not advisable to compute the expectation value of an observable in a limited interval, as it can result in strange outcomes. This is especially evident when calculating the momentum expectation value for a part of an infinite potential well. It is necessary to integrate over the entire space in order to get accurate results. Even though the system may be constrained to a specific region, the wavefunction is still defined on the entire real axis. Therefore, integrating over the entire space is essential for accurate calculations.
  • #1
gulsen
217
0
How much sense does it make to compute expectation value of an observable in a limited interval? i.e.

[tex]\int_a^b \psi^* \hat Q \psi dx.[/tex]
rather than
[tex]\int_{-\infty}^{\infty} \psi \hat Q \psi dx[/tex]

Apparently, it shouldn't make any sense for it gives weird results when you compute e.v. of momentum for a part of infinite potentital well (say well is [0,a] and you do the e.v. integral from [0,a/3]]). Why do we have to integrate over all the space then?
 
Physics news on Phys.org
  • #2
In the position representation, [itex] \psi (x) [/itex] is well defined on all real axis, even though the system might be constrained to "move" in a box.

Daniel.
 
  • #3
you must integrate over entire space!
For infinite potential, there in no leak for
wavefunction beyond the potential boundary.
 

1. What is an expectation value in computing and why is it important?

An expectation value, also known as the average or mean value, is a statistical measure that represents the average outcome of a random variable. In computing, it is used to determine the most likely outcome of a given data set. It is important because it allows us to make predictions and decisions based on the most probable outcome.

2. How is an expectation value calculated in computing?

To calculate an expectation value, we multiply each possible outcome by its probability and then sum them all together. Mathematically, it is represented as E[x] = ΣxP(x), where x represents the possible outcomes and P(x) represents their probabilities.

3. What factors should be considered when computing expectation values?

When computing expectation values, it is important to consider the sample size, the range and distribution of the data, and any potential biases or errors in the data. These factors can impact the accuracy and reliability of the calculated expectation value.

4. Can an expectation value be negative in computing?

Yes, an expectation value can be negative in computing. This may occur when the data set includes both positive and negative values, and the average of these values results in a negative number. It is important to interpret the negative value in the context of the data and its distribution.

5. How is the concept of expectation values applied in real-world computing scenarios?

The concept of expectation values is applied in various real-world computing scenarios, such as in finance, economics, and game theory. For example, in finance, expectation values are used to calculate the expected return on an investment. In game theory, they are used to predict the most likely outcome of a strategic decision. Overall, the concept of expectation values is used to make informed decisions based on statistical probabilities.

Similar threads

  • Advanced Physics Homework Help
Replies
1
Views
303
  • Advanced Physics Homework Help
Replies
30
Views
1K
  • Advanced Physics Homework Help
Replies
9
Views
1K
  • Advanced Physics Homework Help
Replies
3
Views
1K
  • Advanced Physics Homework Help
Replies
8
Views
3K
Replies
3
Views
1K
Replies
3
Views
959
  • Advanced Physics Homework Help
Replies
4
Views
4K
  • Advanced Physics Homework Help
Replies
2
Views
1K
Replies
2
Views
1K
Back
Top