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Solutions to Tutorial Sheet 1: Mainly revision 1. Given the expansion ...

Solutions to Tutorial Sheet 1: Mainly revision 1. Given the expansion ...

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The state |Ψ, t〉 is said <strong>to</strong> be normalised if 〈Ψ, t|Ψ, t〉 = <strong>1.</strong> Show that this implies that∑|c i (t)| 2 = 1iHint: use <strong>the</strong> <strong>expansion</strong> |Ψ, t〉 = ∑ ic i (t)|u i 〉 and <strong>the</strong> corresponding conjugate <strong>expansion</strong>〈Ψ, t| = ∑ jc ∗ j(t)〈u j |.Substituting for 〈Ψ, t| and |Ψ, t〉 in 〈Ψ, t|Ψ, t〉 we find〈Ψ, t|Ψ, t〉 = ∑ ∑c ∗ j(t)c i (t)〈u j |u i 〉 = ∑ ∑c ∗ j(t)c i (t)δ ji = ∑j ij ii|c i (t)| 2where we have used <strong>the</strong> orthonormality of <strong>the</strong> eigenbasis 〈u j |u i 〉 = δ ji and <strong>the</strong> siftingproperty of <strong>the</strong> Kronecker delta. Thus we have <strong>the</strong> result quoted in Lecture 1:∑|c i (t)| 2 = 1iIf <strong>the</strong> expectation value 〈Â〉 t = 〈Ψ, t|Â|Ψ, t〉, show by making use of <strong>the</strong> same <strong>expansion</strong>sthat〈Â〉 t = ∑ |〈u i |Ψ, t〉| 2 A iiand give <strong>the</strong> physical interpretation of this result.The suggested <strong>expansion</strong> of <strong>the</strong> state vec<strong>to</strong>r is, in Dirac notation,|Ψ, t〉 = ∑ ic i (t)|u i 〉 where c i (t) = 〈u i |Ψ, t〉and, correspondingly,〈Ψ, t| = ∑ jc ∗ j(t)〈u j |Substituting for |Ψ, t〉 and 〈Ψ, t| in <strong>the</strong> expression for <strong>the</strong> expectation value gives〈Â〉 t = ∑ j∑ic ∗ j(t)c i (t)〈u j |Â|u i〉 = ∑ jwhere we have used <strong>the</strong> eigenvalue equation for Â:Â|u i 〉 = A i |u i 〉∑ic ∗ j(t)c i (t)A i 〈u j |u i 〉We again use <strong>the</strong> orthonormality of <strong>the</strong> eigenbasis 〈u j |u i 〉 = δ ji <strong>to</strong> write〈Â〉 t = ∑ j∑ic ∗ j(t)c i (t)A i δ ji = ∑ i|c i (t)| 2 A i = ∑ i|〈u i |Ψ, t〉| 2 A iwhich is <strong>the</strong> desired result. As discussed in lectures, <strong>the</strong> interpretation is that |c i (t)| 2is <strong>the</strong> probability of getting <strong>the</strong> result A i in a measurement of <strong>the</strong> observable A, and<strong>the</strong> mean value of a set of repeated measurements of A is just a sum over <strong>the</strong> possiblevalues weighted by <strong>the</strong> probabilities of obtaining <strong>the</strong>m.2

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