Solve for Probability of Particle Energy E_n in Infinite Square Well"

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In summary, you are trying to find the probability of an energy value, but you get stuck because the wavefunction is symmetric and does not contain any odd sin functions. You eventually find the probability by expanding the wavefunction and using the orthonormality of the sin functions.
  • #1
Logarythmic
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Please help me with this problem:

"A particle of mass m moves in one dimension in the infinite square well. Suppose that at time t = 0 its wave function is

PSI(x,t=0) = A(a^2 - x^2)

where A is a normalisation constant.

Find the probability P_n of obtaining the value E_n of the particle energy, where E_n is one of the energy eigenvalues."


I know how to find A and I know how to find the time-dependent wave function, but what then?
 
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  • #2
Logarythmic said:
Please help me with this problem:

"A particle of mass m moves in one dimension in the infinite square well. Suppose that at time t = 0 its wave function is

PSI(x,t=0) = A(a^2 - x^2)

where A is a normalisation constant.

Find the probability P_n of obtaining the value E_n of the particle energy, where E_n is one of the energy eigenvalues."


I know how to find A and I know how to find the time-dependent wave function, but what then?

I notice that you are using a well going from x=-a to x=+a, right?

You have to expand your wavefunction over the eigenstates of the Hamiltonian (which are simply the sine and cos functions with their normalization factors).
[tex] \Psi(x) = \Sum c_n \psi_n(x) [/tex]
where the [itex] \psi_n[/itex] are the normalized sin/cos functions.
To find the c_n, just use the orthonormality of the psi_n,

[tex] c_n = \int_{-a}^a dx \, \psi_n^*(x) \Psi(x) [/tex]

and, finally, the probability of the energy being measured to be a specific value E_n is given by |c_n|^2.
 
  • #3
Yeah that does it, thank you. =)
 
  • #4
I use the sin function for even n and the cos function for odd n, right? But then c_n for even n gets zero..? Is that correct?

For odd n I get P(E_n) = 15/((n^4)(pi^4))
 
  • #5
Logarythmic said:
I use the sin function for even n and the cos function for odd n, right? But then c_n for even n gets zero..? Is that correct?

For odd n I get P(E_n) = 15/((n^4)(pi^4))
I did not check your result for odd n but it makes sense that for even n you would get zero. Your wavefunction is symmetric function (it is even in the sense of Psi(-x) = Psi(x)) so that it does not "contain" any of the sin functions which are odd themselves.

Your answer seems also to make sense since, as expected, the probabibility goes down with increasing n. Also, your function ressembles the most the ground state so one expects a very quick decrease with n.
Lastly, one double check would be to verify that the sum to infinity over odd n of 1/n^4 gives pi^4/15.

Good job!

Pat
 

FAQ: Solve for Probability of Particle Energy E_n in Infinite Square Well"

What is probability and why is it important in science?

Probability is the measure of how likely an event is to occur. In science, it is crucial for making predictions and drawing conclusions based on data. It allows us to quantify uncertainty and make informed decisions.

How do you calculate probability?

Probability is calculated by dividing the number of favorable outcomes by the total number of possible outcomes. This can be represented as a fraction, decimal, or percentage.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely. Experimental probability is based on actual data collected through experiments or observations.

How can you use probability to solve real-world problems?

Probability can be used to make predictions and informed decisions in various fields such as medicine, economics, and engineering. It can also help us understand and manage risk in different situations.

What are some common misconceptions about probability?

One common misconception is the belief in the "law of averages," which assumes that if something has not happened for a while, it is more likely to happen soon. In reality, probability does not work this way and each event is independent of the previous ones. Another misconception is the idea of a "lucky streak" or "hot hand," which implies that past successes will increase the chances of future success. In probability, each event has the same likelihood of occurring regardless of past outcomes.

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