Simple harmonic oscillator- the probability density function

AI Thread Summary
The discussion focuses on deriving the probability density function (PDF) for a simple harmonic oscillator. Participants emphasize that the probability is related to the time spent in each position, leading to the formulation dP = 2*dt/T. They explore the relationship between position and velocity, using x(t) = Acos(ωt) and v(t) = -Aωsin(ωt), and discuss the need to express velocity as a function of position to integrate properly. The conversation reveals challenges in obtaining a valid PDF that reflects the oscillator's behavior, particularly at the extremes of amplitude, and highlights the importance of normalization in the final function. The thread concludes with various methods being suggested to derive the correct functional form of the probability distribution.
trelek2
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How to find the probability density function of a simple harmonic oscillator? I know that for one normal node is should be a parabola but what is the formula and how do we derive it?
 
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trelek2 said:
How to find the probability density function of a simple harmonic oscillator? I know that for one normal node is should be a parabola but what is the formula and how do we derive it?

Probability is equal to the time spent in interval (x,x+dx) normed to total time it takes mass to run through entire available x space ( from -A to A, A is amplitude ). So you have

dP = 2*dt/T .

Take your dt from energy conservation law ( v = dx/dt ! ) and integrate from -A to A. IIRC your distribution should have two poles at amplitudes, maybe some pi somewhere ... don't know, do your math =) Let us know what have you found!

edit:
Your integration limits should not be from -A to A but over the range where you want to calculate probability of finding your mass! Upper integral will give you 1, of course.
 
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You will find that although the particle average position is zero, the most of the time it spends at the ends where its velocity is small.

Bob.
 
I know that, I was more curious about the function p(x)...
 
I'm struggling with the same problem here. Trying to find the probability density function for a simple harmonic oscillator.

I'm having trouble deriving P from the information suggested here.

It was suggested that we should use:

dP = 2*dt/T

and the fact that

v = dx/dt

Now we have:

x(t) = Acos(ωt)

and

v(t) = -Aωsin(ωt)

Now if we integrate dP we get

P = int( 2/(T*v) dx)

But since I only have v(t), but not v(x), I'm not sure how to go about this.

I know that a(x) = -ω2x

but I'm not sure if that can be of any aid?

Anyone have a clue?

regards
Frímann
 
dreamspy said:
...

Now if we integrate dP we get

P = int( 2/(T*v) dx)

But since I only have v(t), but not v(x), I'm not sure how to go about this.

dx=vdt so P =2 int(dt)/T = 1.
 
Bob_for_short said:
dx=vdt so P =2 int(dt)/T = 1.

Which is what we started with ( dp = 2 dt/T ), with normalization added: P(-infinity < x < +infinity) = 1

But I'm supposed to find P as a function of x, which probably looks something like a parabola. Now isn't it neccesarry for me to substitute that dt with dx/v ?

Then I would need to define v as a function of x, right?

Regards
Frímann Kjerúlf
 
dreamspy said:
Now we have:

x(t) = Acos(ωt) and v(t) = -Aωsin(ωt)

Maybe Asin(ωt) = A[1-cos2(ωt)]1/2 = A[1-x2/A2]1/2, so you obtain v(x)?
 
Bob_for_short said:
Maybe Asin(ωt) = A[1-cos2(ωt)]1/2 = A[1-x2/A2]1/2, so you obtain v(x)?

Thats seems to be about right, although I don't understand how you got there :)

I got the same results doing:

Isolate x:

x(t) = Acos(ωt) => t(x) = arccos(x/A)/ω

differentiate t(x):

dt/dx = 1 / (A^2 - x^2)^1/2

which is equal to 1/v :

v(x)= dx/dt = (A^2 - x^2)^1/2

which is the same result you got.

Thanks :)
Frímann
 
  • #10
I used the trigonometry, but your way is also right.
 
  • #11
What is about a Probability density to find particle with amplitude A or -A?

Near point A and -A.
 
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  • #12
I tried to solve for the functional form of the probability.
I set A = w = 1 and ignored 2/T for simplicity.

So, probability of finding oscillator at position x is proportional to the amount of time it spends at every dx---

i.e
Prob. prop to ...
int(dt) = int(dx/v)

v(x) = 1/(1-x^2)^1/2 (*There's two ways to get this--see post #8 and #9*)

Integration of 1/(1-x^2)^1/2 dx

yields Arcsin(x), which is negative when x is negative--->doesn't make sense as a probability distribution.

Any thoughts?
 
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