Probability of finding a particle in a box

AI Thread Summary
The discussion revolves around calculating the probability of finding a particle in the middle half of a box using the wave function ψn(x) = (2/L)1/2sin(n∏x/L). The participant calculated probabilities for n=1, 2, and 3, yielding values of approximately 0.818, 0.5, and 0.430, respectively. There is confusion regarding the requirement to show that as n approaches infinity, the probability converges to 0.5, as the participant's calculations do not indicate this trend. It is suggested that evaluating the integral for general n and visualizing the wave functions may provide clarity on the expected outcome. Understanding the behavior of the wave function as n increases is crucial for resolving the discrepancy.
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Homework Statement



Consider ψ (x) for a particle in a box:

ψn(x) = (2/L)1/2sin(n∏x/L)

Calculate the probability of finding the particle in the middle half of the box (i.e., L/4 ≤ x ≤ 3L/4). Also, using this solution show that as ''n'' goes to infinity you get the classical solution of 0.5.


Homework Equations





The Attempt at a Solution



I integrated and figured out the probability for n=1,2,3. For n=1 I got 1/2 + 1/∏ which is about 0.818. For n = 1 I got 1/2 and for n=3, I got 0.430.

I don't understand where the problem asks "Also, using this solution show that as ''n'' goes to infinity you get the classical solution of 0.5." From my calculations, as n goes to infinity, it does not approach a value of 0.5.
 
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It will help if you can evaluate the integral for a general (unspecified) values of n and then look at the result as n goes to infinity.

From the 3 values you have obtained, you can't tell whether or not the probability is approaching any specific value as n gets large. (By the way, I agree with your answers for n = 1 and 2, but not for n = 3.)
 
Drawing a picture of some of the solutions might give you some insight into what kind of answer you are looking for.
 
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