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EE201/MSE207 Lecture 8 Measurement and uncertainty principle - - PowerPoint PPT Presentation
EE201/MSE207 Lecture 8 Measurement and uncertainty principle - - PowerPoint PPT Presentation
EE201/MSE207 Lecture 8 Measurement and uncertainty principle Determinate state Theorem: If = , then measurement of in state | will certainly give result (therefore, such is called determinate state) 2 ; Proof:
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Energy-time uncertainty
You can often find inequality
ΞπΉ Ξπ’ β₯ β 2
1) It is formally incorrect, but often gives correct intuition. 2) It is correct in the following sense. Theorem For any observable π (which does not explicitly depend on time)
ππΉ ππ πβ©π βͺ ππ’ β₯ β 2
(So, if anything changes significantly during Ξπ’, then the energy spread should be large enough, ΞπΉ Ξπ’ β₯ β 2. In stationary state ΞπΉ = 0, therefore nothing changes.) Proof Straightforward from ππΌππ β₯ 1 2π πΌ, π
2
and
πβ©π βͺ ππ’ = π β πΌ, π
πβ©π βͺ ππ’ = π ππ’ Ξ¨ π Ξ¨ = πΞ¨ ππ’ π Ξ¨ + Ξ¨ π πΞ¨ ππ’ + Ξ¨ π π ππ’ Ξ¨ = = βπ β πΌΞ¨ π Ξ¨ + Ξ¨ π βπ β πΌΞ¨ = π β Ξ¨ πΌ π Ξ¨ β Ξ¨ π πΌΞ¨ = π β β©Ξ¨| πΌ, π Ξ¨βͺ = ( π β) β© πΌ, π βͺ
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π¦-representation and π-representation
It is easy to check that both
π¦ and π are Hermitian (as for any observable).
We need to prove π ππ = β© ππ|πβͺ. For π = π¦ this is very simple: πβ π¦ π¦π π¦ ππ¦ = π¦ π π¦
βπ π¦ ππ¦.
For π = π we need integration by parts: πβ π¦
βπβ π
ππ¦ π π¦ ππ¦ =
= πβ ππβ(π¦)
ππ¦
π π¦ ππ¦ = βπβ ππ π¦
ππ¦ β
π π¦ ππ¦.
Find eigenstates of
π¦ and π ππ π¦ = π π(π¦)
Eigenstates of π¦:
π¦ π π¦ = π π(π¦) ο π π¦ = π΅ π(π¦ β π)
Not normalizable, choose π΅ = 1.
π
π π¦ = π(π¦ β π), then π
π π π = π π β π
Check: π π¦ β π π π¦ β π ππ¦ = π(π β π) (since π¦ = π)
- rthonormal basis
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Eigenstates of π:
βπβ π ππ¦ π π¦ = π π(π¦) π π¦ = πΆ πππ
βπ¦
ο
ππ π¦ =
1 2πβ πππ
βπ¦, then ππ ππ = π π β π
Check: 1
2πβ πβππ
βπ¦πππ βπ¦ ππ¦ =
1 2πβ πππβπ
β π¦ ππ¦ = π(π β π)
since
ββ β ππππ¦ππ¦ = 2π π π
and π ππ¦ = π(π¦)
|π|
Digression: proof of the formula
ββ β ππππ¦ππ¦ = 2π π π
Fourier transform π π¦ =
1 2π ππππ¦πΊ π ππ, πΊ π = 1 2π πβπππ¦ π π¦ ππ¦
Therefore πΊ π = 1 2π ππ¦ πβπππ¦ 1 2π πππβ²π¦πΊ πβ² ππβ² = 1 2π ππ πβ²βπ π¦ππ¦ πΊ πβ² ππ π(π β πβ²)
- rthonormal basis
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Similarity of π¦-representation and π-representation
π
π π¦ = π(π¦ β π)
π¦-eigenstates (x-basis) π-eigenstates (p-basis)
ππ π¦ = 1 2πβ πππ
βπ¦
We can say that Ξ¨ π¦ are actually components of vector |Ξ¨βͺ in x-basis:
Ξ¨ π¦ =
ββ β
Ξ¨ π¦β² π π¦ β π¦β² ππ¦β²
basis vectors components Similarly, we can write it in p-basis:
Ξ¨ π¦ =
ββ β
Ξ¦ π 1 2πβ πππ
βπ¦ ππ
basis vectors components Ξ¦ π = 1 2πβ
ββ β
πβππ
βπ¦ Ξ¨ π¦ ππ¦
We can regard Ξ¦ π as a wavefunction in p-space Actually, more often people use Ξ¦ π in π-space, where π = π/β, then eigenstates (basis vectors) are 1
2π ππππ¦.
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Operators π¦ and π in p-space
πΞ¦ π = π Ξ¦(π)
Expected by analogy. Formal proof:
= βπβ Ξ¦ π 1 2πβ ππ β πππ
βπ¦ππ = π Ξ¦ π
1 2πβ πππ
βπ¦ππ
βπβ πΞ¨(π¦) ππ¦ = βπβ π ππ¦ Ξ¦ π 1 2πβ πππ
βπ¦ππ =
π¦Ξ¦ π = πβ π ππ Ξ¦(π)
Proof: π¦Ξ¨(π¦) = Ξ¦ π
1 2πβ π¦ πππ
βπ¦ππ =
βπβ π ππ πππ
βπ¦
= by parts = πβ πΞ¦(π) ππ 1 2πβ πππ
βπ¦ππ
Commutator does not change π¦, π = π¦, βπβ π ππ¦ = πβ π¦, π = πβ π ππ , π = πβ
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Probabilities Ξ¨ π¦
2ππ¦ and Ξ¦ π 2ππ Ξ¦ π is as good a wavefunction as Ξ¨ π¦ For x-measurement, probability to find particle near π¦0 is π¬ π¦0 ππ¦ (postulate 5, rem. a), with π¬ π¦0 = π
π¦0 Ξ¨ 2 = π π¦ β π¦0 Ξ¨ π¦ ππ¦ 2 = Ξ¨ π¦0 2
Similarly, for p-measurement, probability to find momentum near π0 is π¬ π0 ππ, with π¬ π0 = ππ0 Ξ¨
2 = 1 2πβ eβππ0
β π¦ Ξ¨ π¦ ππ¦
2
= Ξ¦ π0
2
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