Normalised Energy Eigenfunction (Probability with Dirac Notation)

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SUMMARY

The discussion focuses on calculating the probability of measuring the energy of a quantum harmonic oscillator in the ground state using Dirac notation. The normalized energy eigenfunction for the ground state is given by 〈x|n〉=α^(1/2)/π^(1/4) exp(-1/2 α^2 x^2), where α^2=mω/h. The user is attempting to find the probability associated with the state 〈x|ψ〉=σ^(1/2)/π^(1/4) exp(-(1/2) σ^2 x^2) and is confused about how to incorporate energy eigenvalues into their calculations. The solution involves using the scalar product of the two states and applying Gaussian integration techniques to find the probability.

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Homework Statement



Normalised energy eigenfunction for ground state of a harmonic oscillator in one dimension is:

〈x|n〉=α^(1/2)/π^(1/4) exp(-□(1/2) α^2 x^2)

n = 0

α^2=mω/h

suppose now that the oscillator is prepared in the state:

〈x|ψ〉=σ^(1/2)/π^(1/4) exp(-(1/2) σ^2 x^2)


What is the probability that a measurement of the energy gives the result E_0 = 1/2 hω?


Homework Equations





The Attempt at a Solution



I squared both states as that is the probability of the states, but I cannot see where the energy eigenvalue would fit into it.

It probably something glaringly obvious, but I haven't done this in a long time and certainly not with dirac notation. Please help.
 
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I squared the states to get probabilities, but now I'm left with 2 probability amplitudes that I'm stumped on how to use.

What can I use the energy for?

I know n = 0, but do I have to find the expectation value of getting the energy?
 
Apply the definition. The probability should be equal to the square modulul of some complex number, namely the scalar product of the 2 states involved. Which are the 2 states involved ?
 
Since both states are real, their conjugates equal their normal counterparts. So I end up using an Identity relation to superimpose the states anyway (underhanded trick from my QM lecturer :p ).

Ok so I'm multiplying and integrating over unity, hopefully a useful co-efficient should pop out which I should then modulus square for the probability? Will show my working a hot second.
 
How do I integrate e^[(-1/2)x^2] dx from -∞ to ∞ ?
 
It's the typical gaussian integration. You should find its value in your QM book, or statistics book. Look it up.
 

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