How can I find the probability and expectation value in quantum mechanics?

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Martin Osborne
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Homework Statement


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Hi, I have a problem I have been trying to do for a few days and I am not getting it. Any hints would be greatly appreciated. The question is from "The physics of Quantum Mechanics" by Binney and Skinner.

The question states:
Let ##\psi##(x) be a properly normalised wavefunction and Q an operator on wavefunctions. Let {qr} be the spectrum of Q and let {Ur(x)} be the corresponding correctly normalised eigenfunctions. Write down an expression for the probability that a measure of Q will yeild the value qr.

Show that ##\Sigma_r P(q_r |\psi) = 1##.

Show further that the expectation of Q is ## \langle Q \rangle = \int _{-\infty} ^\infty \psi^* Q \psi dx## .

Homework Equations

and attempt[/B]

So for the first part, the probability amplitude of measuring qr given the system is in the state ## |\psi\rangle ## is given by ## \langle q _ r | \psi \rangle = \int _{-\infty} ^\infty u_r^*(x) \psi(x) dx## .

and taking the mod squared of this gives the probability the question is asking for.

The next part says that summing these probabilities over all r = 1? I understand what this means (probability of finding a value of q within the spectrum given = 1), but don't know how to show this.

As for the last part, the expectation value is the sum of the probabilities of getting each value of q multiplied by the value qr, so $$ \langle Q \rangle = \Sigma _ r q_r | \int _ {-\infty}^\infty u_r^*(x) \psi(x) dx |^2 $$Cant get any further...
 
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sorry, latex not working let me try again...

fixed it...
 
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Try expanding ##\lvert \psi \rangle## in terms of the eigenstates.
 
Thanks Vela,

I am thinking ##|\psi\rangle = \int_{-\infty} ^\infty \psi(x) |x\rangle## But is it also the case that ##\psi(x) = \sum a_r u_r(x)## where the ##a_r##s are probability amplitudes in Q space.

Can I say that ##|\psi\rangle = \int_{-\infty} ^\infty (\sum a_r u_r(x)) |x\rangle##
 
Yes, and that would be equivalent to saying ##\lvert \psi \rangle = \sum_r a_r \lvert q_r \rangle##.