Probability integral, Expectation Value and Square of Psi

Click For Summary

Discussion Overview

The discussion revolves around the interpretation of integrals related to the probability of finding particles in quantum mechanics, specifically focusing on the probability density function, expectation values, and the implications of the wave function's magnitude. Participants explore the distinctions and relationships between these concepts as presented in various textbooks.

Discussion Character

  • Debate/contested
  • Conceptual clarification
  • Mathematical reasoning

Main Points Raised

  • Some participants assert that the integral $$\int_a^b {| \psi(x) |^2 dx}$$ correctly gives the probability of finding a particle between x=a and x=b.
  • Others challenge the interpretation of the integral $$\int_{-\infty}^{+\infty} {x | \psi(x) |^2 dx}$$ as yielding the expectation value, suggesting that x is a variable and not a specific point.
  • A participant explains that expectation values represent averages over many measurements, linking them to probability theory rather than solely to quantum mechanics.
  • Concerns are raised about the statement that | \psi(x) |^2 gives the probability of finding a particle at point x, with some arguing that it is a probability distribution function that requires integration to yield actual probabilities.
  • There is a hypothesis that the first integral provides the probability of finding a particle in a region, while the expectation value relates to a specific point, prompting questions about the meaning of the expectation value.
  • Some participants express skepticism about the simplification of concepts in educational materials, questioning whether the square of the wave function alone suffices for understanding probabilities at specific points.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the interpretations of the integrals and their implications. Multiple competing views remain regarding the relationship between probability density, expectation values, and the wave function.

Contextual Notes

Discussions highlight potential ambiguities in terminology and definitions across different textbooks, as well as the need for careful consideration of the mathematical framework underlying these concepts.

space-time
Messages
218
Reaction score
4
I have come across a bit of conflict in wording of some physics and chemistry textbooks about the probability of finding particles in certain places. To be more specific, I have come across 3 different statements:

1. $$\int_a^b {| \psi(x) |^2 dx}$$

The above integral is said to give the probability of finding a particle between x=a and x=b

2. $$\int_{-\infty}^{+\infty} {x | \psi(x) |^2 dx}$$

The above integral is said to yield the expectation value for finding the particle at point x. The problem is: My quantum physics book and other sources say that this expectation value and expectation values in general are what tie the calculations to actual physical observables. That is a problem because, if the first integral that I listed gives the probability of finding the particle in a certain region, then wouldn't that integral be the one that connects the calculations to the physical observable of position (and not the expectation value integral)? In other words, what exactly does this expectation value tell you? My hypothesis about the difference between the two integrals is that the first one gives you the probability of finding the particle in set region while the expectation value tells you something about a specific point. If my hypothesis is correct, what exactly does it tell you about said point? In a thread I made once before, someone stated that it was not the probability of finding the particle at said point.

3. | \psi(x) |^2

My chemistry book says that the square of the magnitude of the wave function evaluated at x gives you the probability of finding the particle at point x. I, having already known about the first integral that I mentioned, felt that simply squaring the wave function is way too simple. If you can get precision to a single point by just squaring the wave function, then integrating over a region seems almost useless. Does the square of the magnitude of the wave function alone really give you the probability of finding the probability at a point, or do you think that my AP chemistry book was simply simplifying it for students who have not taken calculus? Also, if I am right in saying that this is an over simplification, then what exactly does plugging a point directly into a wave function tell you anyway?
 
Physics news on Phys.org
space-time said:
1. $$\int_a^b {| \psi(x) |^2 dx}$$

The above integral is said to give the probability of finding a particle between x=a and x=b
That is correct.

space-time said:
2. $$\int_{-\infty}^{+\infty} {x | \psi(x) |^2 dx}$$

The above integral is said to yield the expectation value for finding the particle at point x.
The statement is not correct, particularly as x is not a point but a variable in the equation. The expectation value is basically the average:
$$
\langle \hat{A} \rangle \equiv \int_{-\infty}^{\infty} \psi^*(x) \hat{A} \psi(x) dx
$$
Given an ensemble of systems all prepared in the same state ##\psi##, then the average over all systems of the value of the observable ##\hat{A}## will be ##\langle \hat{A} \rangle##.

space-time said:
3. | \psi(x) |^2

My chemistry book says that the square of the magnitude of the wave function evaluated at x gives you the probability of finding the particle at point x.
That's sloppy language. You can check easily that ##| \psi(x) |^2## has units, thus is not a probability. It is a probability distribution function, and must be integrated as in 1. or 2. in order to yield probabilities. By itself it instructs on how the probability varies in space, and is vary useful for visualization.
 
space-time said:
I have come across a bit of conflict in wording of some physics and chemistry textbooks about the probability of finding particles in certain places. To be more specific, I have come across 3 different statements:

1. $$\int_a^b {| \psi(x) |^2 dx}$$

The above integral is said to give the probability of finding a particle between x=a and x=b

2. $$\int_{-\infty}^{+\infty} {x | \psi(x) |^2 dx}$$

The above integral is said to yield the expectation value for finding the particle at point x. The problem is: My quantum physics book and other sources say that this expectation value and expectation values in general are what tie the calculations to actual physical observables. That is a problem because, if the first integral that I listed gives the probability of finding the particle in a certain region, then wouldn't that integral be the one that connects the calculations to the physical observable of position (and not the expectation value integral)? In other words, what exactly does this expectation value tell you?

That's really a question of probability theory, independent of quantum mechanics.

If you have a probability density P(x), then that means that you will have (approximately, in the limit as \delta x \Rightarrow 0)probability P(x) \delta x of finding a particle in the region between x and x+\delta x.

Now, if you rerun the same experiment many, many times, starting with the same probability distribution each time, and you measure the position where the object is found each time, then you will get a sequence of values: x_1, x_2... Let N be the number of times that you perform the measurement. Then the average value of x for your measurements is

\langle x\rangle_N = \frac{1}{N} \sum_i x_i

The prediction of probability theory is that in the limit as N \Rightarrow \infty,

\langle x \rangle_N \Rightarrow \int x P(x) dx

Expectation values is a way to compute averages of measurables.
 
  • Like
Likes   Reactions: vanhees71
space-time said:
I have come across a bit of conflict in wording of some physics and chemistry textbooks about the probability of finding particles in certain places. To be more specific, I have come across 3 different statements:

1. $$\int_a^b {| \psi(x) |^2 dx}$$

The above integral is said to give the probability of finding a particle between x=a and x=b

2. $$\int_{-\infty}^{+\infty} {x | \psi(x) |^2 dx}$$

The above integral is said to yield the expectation value for finding the particle at point x. The problem is: My quantum physics book and other sources say that this expectation value and expectation values in general are what tie the calculations to actual physical observables. That is a problem because, if the first integral that I listed gives the probability of finding the particle in a certain region, then wouldn't that integral be the one that connects the calculations to the physical observable of position (and not the expectation value integral)? In other words, what exactly does this expectation value tell you? My hypothesis about the difference between the two integrals is that the first one gives you the probability of finding the particle in set region while the expectation value tells you something about a specific point. If my hypothesis is correct, what exactly does it tell you about said point? In a thread I made once before, someone stated that it was not the probability of finding the particle at said point.

3. | \psi(x) |^2

My chemistry book says that the square of the magnitude of the wave function evaluated at x gives you the probability of finding the particle at point x. I, having already known about the first integral that I mentioned, felt that simply squaring the wave function is way too simple. If you can get precision to a single point by just squaring the wave function, then integrating over a region seems almost useless. Does the square of the magnitude of the wave function alone really give you the probability of finding the probability at a point, or do you think that my AP chemistry book was simply simplifying it for students who have not taken calculus? Also, if I am right in saying that this is an over simplification, then what exactly does plugging a point directly into a wave function tell you anyway?
1. This is the correct expression when the eigenvalues are continuous.
2. The expectation value only coincides with the probability distribution in the idealized case of a pure state(only one value in the diagonal of the density matrix) so 1. and 2. are giving you quite different information in general.
3. This is a simplification for a pure state probability distribution, in practice only mixed states are measured, so you either use 2. or if you are considering pure states probabilities you use the integral as in 1. for continuous eigenvalues or the sum Σi for discrete ones.
 
TrickyDicky said:
1. This is the correct expression when the eigenvalues are continuous.
2. The expectation value only coincides with the probability distribution in the idealized case of a pure state(only one value in the diagonal of the density matrix) so 1. and 2. are giving you quite different information in general.
3. This is a simplification for a pure state probability distribution, in practice only mixed states are measured, so you either use 2. or if you are considering pure states probabilities you use the integral as in 1. for continuous eigenvalues or the sum Σi for discrete ones.

What do you mean by pure and mixed states? Also, how would I know whether an eigenvalue was continuous or not before calculating the integral (integral 1.)?
 
space-time said:
What do you mean by pure and mixed states?
It is quite unfortunate that most most undergraduate QM books only deal with pure states and mention mixed states only in passing or as a footnote. A pure state is one that is in a superposition, a mixed state is a mixture of pure states. Both can be represented with a statistical operator.
Also, how would I know whether an eigenvalue was continuous or not before calculating the integral (integral 1.)?
You know what observable you are going to measure right? Then you know if their iegenvalues are discrete or continuous. i.e. position is continuous, spin discrete...
 
General mathematics statement. Let f(x) be the probability density of some random variable X.

P(a<X<b) = \int_a^b f(x)dx
E(X)=\int_{-\infty}^{\infty} xf(x)dx, where E(X) is average
 

Similar threads

  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 25 ·
Replies
25
Views
3K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 16 ·
Replies
16
Views
2K
  • · Replies 59 ·
2
Replies
59
Views
6K
  • · Replies 9 ·
Replies
9
Views
4K
  • · Replies 20 ·
Replies
20
Views
3K