Probability of Particle in Box: Changing w/ Increasing n

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Homework Statement


Particle is put in into the infinity potential well. How the probability of finding particle between different maxima of probability density is changing by increasing of ##n##?

Homework Equations


##\psi_n(x)=\sqrt{\frac{2}{a}}\sin \frac{n\pi x}{a}##
##E_n=\frac{n^2\pi^2\hbar^2}{2ma^2}##


The Attempt at a Solution


##\frac{d}{dx}|\psi_n(x)|^2=\frac{1}{a}\frac{2n\pi}{a}\sin\frac{2n\pi x}{a}=0##
so
##\frac{2n\pi x}{a}=k\pi##
From that ##x=\frac{ka}{2n}##.
To bi maximum
##\cos \frac{2n\pi x}{a}<0##.
Right?
What is easiest way to solve this?
 
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Write out the probability calculation for n=1,2,3 ... and spot the pattern.
 
For ##n=1## I get that ##\frac{d}{dx}\psi_1^2(x)=0## for ##x=\frac{ka}{2}##. How I now that ##k=1?##. If I take second derivative I get ##\frac{d}{dx}\psi_1^2(x)=\frac{4\pi^2}{a^3}\cos \frac{2\pi x}{a}##. If ##k=0##, ##x=0## and ##cos(0)=1>0##, so ##\psi_1(x=0)## is minimum. For ##k=1##, ##x=\frac{a}{2}## and ##cos(\pi)=-1<0## so for ##x=\frac{a}{2}## function has maximum. For ##k=2##, ##x=a## function again has minimum.

For ##n=2## I get that ##\frac{d}{dx}\psi_2^2(x)=0## lead to ##x=\frac{k}{4}a##. So I have five possibilities ##k=0,1,2,3,4##. Two maxima are for ##k=1## and ##k=3##.

For ##n=3## seven possibilities ##k=0,1,2,3,4,5,6##. Three maxima are for ##k=1,k=3,k=5##.

But I still don't have real generalisation. I have only behaviour. I see that the all maxima are for odd number ##k##.

Is there any other easier way to find this?
 
You are overthinking it:
- just sketch the probability densities for the first 3-4 energy levels, what sort of function are they?

- mark in two adjacent maxima for each and shade the area between them that you need to calculate.
Make a note of what the x values are (hint: try substituting ##\theta=kx## - what are the values of ##\theta## going to be for the first two maxima?)
 
To solve this, I first used the units to work out that a= m* a/m, i.e. t=z/λ. This would allow you to determine the time duration within an interval section by section and then add this to the previous ones to obtain the age of the respective layer. However, this would require a constant thickness per year for each interval. However, since this is most likely not the case, my next consideration was that the age must be the integral of a 1/λ(z) function, which I cannot model.
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