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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:


  1. EE201/MSE207 Lecture 8 Measurement and uncertainty principle Determinate state Theorem: If 𝐡 Ξ¨ = πœ‡ Ξ¨ , then measurement of 𝐡 in state |Ξ¨βŒͺ will certainly give result πœ‡ (therefore, such Ξ¨ is called determinate state) 2 ; Proof: a) from postulate 5 of the previous lecture: 𝑄 πœ‡ = 𝑔 πœ‡ Ξ¨ b) from postulate 4: 𝐡 = πœ‡ , 𝐡 2 = πœ‡ 2 οƒž no variance. Also, from postulate 6, measurement will not change such determinate state. In contrast, if |Ξ¨βŒͺ is not an eigenvector of 𝐡 , then measurement of 𝐡 can give different results, and changes (collapses) |Ξ¨βŒͺ .

  2. Compatible and incompatible observables Question: When a state can be a determinate state for two operators 𝐡 and 𝐢 ? (why important: consider measurement sequence A , B , A ) Answer: If 𝐢 commute, 𝐡 and 𝐡, 𝐢 = 0 , then this is possible (β€œcompatible”); if 𝐡, 𝐢 β‰  0 , then this is usually impossible (β€œincompatible”). More rigorously, two theorems from linear algebra (without proof). Theorem 1 If two Hermitian operators commute, 𝐡, 𝐢 = 0 , then there exists a basis consisting of eigenvectors of both 𝐡 and 𝐢 simultaneously. (These states are determinate states of both 𝐡 and 𝐢 , i.e. 𝜏 𝐡 = 𝜏 𝐢 = 0. ) ( 𝜏 is the standard deviation) Theorem 2 (generalized uncertainty principle) 2 1 2 𝜏 𝐢 2 β‰₯ 𝐡, 𝜏 𝐢 For Hermitian 𝐡 and 𝐢 , if 𝐡, 𝐢 β‰  0 , then 𝐡 2𝑗 Example 2 ℏ 𝜏 𝑦 𝜏 π‘ž β‰₯ ℏ 2 𝜏 π‘ž 2 β‰₯ οƒž 𝜏 𝑦 οƒž 𝑦, π‘ž = 𝑗ℏ 2 2 (Heisenberg uncertainty principle)

  3. Energy-time uncertainty Δ𝐹 Δ𝑒 β‰₯ ℏ You can often find inequality 2 1) It is formally incorrect, but often gives correct intuition. 2) It is correct in the following sense. Theorem π‘’βŒ©π‘…βŒͺ 𝑒𝑒 β‰₯ ℏ 𝜏 𝑅 For any observable 𝑅 (which does not 𝜏 𝐹 2 explicitly depend on time) (So, if anything changes significantly during Δ𝑒 , then the energy spread should be large enough, Δ𝐹 Δ𝑒 β‰₯ ℏ 2 . In stationary state Δ𝐹 = 0 , therefore nothing changes.) 2 1 π‘’βŒ©π‘…βŒͺ = 𝑗 Proof 𝐼, 𝐼, 𝜏 𝐼 𝜏 𝑅 β‰₯ 𝑅 𝑅 and Straightforward from 2𝑗 𝑒𝑒 ℏ 𝑒𝑒 + Ξ¨ πœ– π‘’βŒ©π‘…βŒͺ = 𝑒 𝑅Ψ = 𝑒Ψ 𝑅 𝑒Ψ 𝑅 𝑒𝑒 Ξ¨ 𝑅Ψ + Ξ¨ πœ–π‘’ Ξ¨ = 𝑒𝑒 𝑒𝑒 𝐼Ψ = 𝑗 = 𝑗 = βˆ’π‘— 𝑅 βˆ’π‘— ℏ 𝐼Ψ 𝑅Ψ + Ξ¨ ℏ Ξ¨ 𝐼 𝑅Ψ βˆ’ Ξ¨ 𝑅 ℏ 〈Ψ| 𝐼, 𝐼Ψ 𝑅 Ξ¨βŒͺ ℏ 𝑗 ℏ) 〈 𝐼, = ( 𝑅 βŒͺ

  4. 𝑦 -representation and π‘ž -representation It is easy to check that both 𝑦 and π‘ž are Hermitian (as for any observable). We need to prove 𝑔 π‘ˆπ‘• = 〈 π‘ˆπ‘”|𝑕βŒͺ . 𝑦 this is very simple: 𝑔 βˆ— 𝑦 𝑦𝑕 𝑦 𝑒𝑦 = 𝑦 𝑔 𝑦 For βˆ— 𝑕 𝑦 𝑒𝑦 . π‘ˆ = π‘ž we need integration by parts: 𝑔 βˆ— 𝑦 βˆ’π‘—β„ 𝑒 For 𝑒𝑦 𝑕 𝑦 𝑒𝑦 = π‘ˆ = βˆ— = 𝑗ℏ 𝑒𝑔 βˆ— (𝑦) 𝑕 𝑦 𝑒𝑦 = βˆ’π‘—β„ 𝑒𝑔 𝑦 𝑕 𝑦 𝑒𝑦 . 𝑒𝑦 𝑒𝑦 Find eigenstates of 𝑦 and π‘ž π‘ˆπ‘” 𝑦 = πœ‡ 𝑔(𝑦) οƒž 𝑦 𝑔 𝑦 = πœ‡ 𝑔(𝑦) 𝑔 𝑦 = 𝐡 πœ€(𝑦 βˆ’ πœ‡) Eigenstates of 𝑦 : Not normalizable, choose 𝐡 = 1 . 𝑔 πœ‡ 𝑦 = πœ€(𝑦 βˆ’ πœ‡) , then 𝑔 πœ‡ 𝑔 𝜈 = πœ€ 𝜈 βˆ’ πœ‡ orthonormal basis Check: πœ€ 𝑦 βˆ’ πœ‡ πœ€ 𝑦 βˆ’ 𝜈 𝑒𝑦 = πœ€(𝜈 βˆ’ πœ‡) (since 𝑦 = 𝜈)

  5. π‘ž : βˆ’π‘—β„ 𝑒 Eigenstates of 𝑕 𝑦 = 𝐢 𝑓 π‘—πœ‡ οƒž ℏ𝑦 𝑒𝑦 𝑕 𝑦 = πœ‡ 𝑕(𝑦) 2πœŒβ„ 𝑓 𝑗 πœ‡ 1 ℏ 𝑦 , then 𝑕 πœ‡ 𝑕 𝜈 = πœ€ 𝜈 βˆ’ πœ‡ 𝑕 πœ‡ 𝑦 = orthonormal basis 2πœŒβ„ 𝑓 βˆ’π‘— πœ‡ ℏ 𝑦 𝑓 𝑗 𝜈 2πœŒβ„ 𝑓 𝑗 πœˆβˆ’πœ‡ ℏ 𝑦 𝑒𝑦 = ℏ 𝑦 𝑒𝑦 = πœ€(𝜈 βˆ’ πœ‡) Check: 1 1 ∞ 𝑓 𝑗𝑙𝑦 𝑒𝑦 = 2𝜌 πœ€ 𝑙 and πœ€ 𝑏𝑦 = πœ€(𝑦) since βˆ’βˆž |𝑏| ∞ 𝑓 𝑗𝑙𝑦 𝑒𝑦 = 2𝜌 πœ€ 𝑙 Digression: proof of the formula βˆ’βˆž 2𝜌 𝑓 βˆ’π‘—π‘™π‘¦ 𝑔 𝑦 𝑒𝑦 1 1 2𝜌 𝑓 𝑗𝑙𝑦 𝐺 𝑙 𝑒𝑙 , 𝐺 𝑙 = Fourier transform 𝑔 𝑦 = Therefore 1 1 1 𝑓 𝑗𝑙 β€² 𝑦 𝐺 𝑙′ 𝑒𝑙 β€² = 2𝜌 𝑓 𝑗 𝑙 β€² βˆ’π‘™ 𝑦 𝑒𝑦 𝐺 𝑙 β€² 𝑒𝑙 𝑒𝑦 𝑓 βˆ’π‘—π‘™π‘¦ 𝐺 𝑙 = 2𝜌 2𝜌 πœ€(𝑙 βˆ’ 𝑙 β€² )

  6. Similarity of 𝑦 -representation and π‘ž -representation 1 𝑓 π‘—πœ‡ ℏ𝑦 𝑔 πœ‡ 𝑦 = πœ€(𝑦 βˆ’ πœ‡) 𝑦 -eigenstates π‘ž -eigenstates 𝑕 πœ‡ 𝑦 = 2πœŒβ„ ( x -basis) ( p -basis) We can say that Ξ¨ 𝑦 are actually components of vector |Ξ¨βŒͺ in x -basis: ∞ Ξ¨ 𝑦 β€² πœ€ 𝑦 βˆ’ 𝑦 β€² 𝑒𝑦 β€² Ξ¨ 𝑦 = βˆ’βˆž basis vectors components Similarly, we can write it in p -basis: ∞ 1 𝑓 π‘—π‘ž ∞ ℏ𝑦 π‘’π‘ž 1 𝑓 βˆ’π‘—π‘ž ℏ 𝑦 Ξ¨ 𝑦 𝑒𝑦 Ξ¨ 𝑦 = Ξ¦ π‘ž Ξ¦ π‘ž = 2πœŒβ„ 2πœŒβ„ βˆ’βˆž βˆ’βˆž basis vectors components We can regard Ξ¦ π‘ž as a wavefunction in p -space Actually, more often people use Ξ¦ 𝑙 in 𝑙 -space, where 𝑙 = π‘ž/ℏ , then eigenstates (basis vectors) are 1 2𝜌 𝑓 𝑗𝑙𝑦 .

  7. Operators 𝑦 and π‘ž in p -space π‘žΞ¦ π‘ž = π‘ž Ξ¦(π‘ž) βˆ’π‘—β„ πœ–Ξ¨(𝑦) = βˆ’π‘—β„ πœ– 1 𝑓 π‘—π‘ž ℏ 𝑦 π‘’π‘ž = πœ–π‘¦ Ξ¦ π‘ž Expected by analogy. Formal proof: πœ–π‘¦ 2πœŒβ„ 1 π‘—π‘ž 1 ℏ 𝑓 π‘—π‘ž 𝑓 π‘—π‘ž ℏ𝑦 π‘’π‘ž = π‘ž Ξ¦ π‘ž ℏ𝑦 π‘’π‘ž = βˆ’π‘—β„ Ξ¦ π‘ž 2πœŒβ„ 2πœŒβ„ 𝑦Φ π‘ž = 𝑗ℏ πœ– 1 πœ–π‘ž Ξ¦(π‘ž) 𝑦 𝑓 π‘—π‘ž ℏ𝑦 π‘’π‘ž = Proof: 𝑦Ψ(𝑦) = Ξ¦ π‘ž 2πœŒβ„ βˆ’π‘—β„ πœ– πœ–π‘ž 𝑓 π‘—π‘ž ℏ𝑦 = by parts = 𝑗ℏ 𝑒Φ(π‘ž) 1 𝑓 π‘—π‘ž ℏ𝑦 π‘’π‘ž π‘’π‘ž 2πœŒβ„ π‘ž = 𝑦, βˆ’π‘—β„ πœ– 𝑦, πœ–π‘¦ = 𝑗ℏ Commutator does not change π‘ž = 𝑗ℏ πœ– 𝑦, πœ–π‘ž , π‘ž = 𝑗ℏ

  8. 2 𝑒𝑦 and Ξ¦ π‘ž 2 π‘’π‘ž Probabilities Ξ¨ 𝑦 Ξ¦ π‘ž is as good a wavefunction as Ξ¨ 𝑦 For x -measurement, probability to find particle near 𝑦 0 is 𝒬 𝑦 0 𝑒𝑦 (postulate 5, rem. a), with 2 = πœ€ 𝑦 βˆ’ 𝑦 0 Ξ¨ 𝑦 𝑒𝑦 2 = Ξ¨ 𝑦 0 2 𝒬 𝑦 0 = 𝑔 𝑦 0 Ξ¨ Similarly, for p -measurement, probability to find momentum near π‘ž 0 is 𝒬 π‘ž 0 π‘’π‘ž , with 2 2 = 2πœŒβ„ e βˆ’π‘— π‘ž0 ℏ 𝑦 Ξ¨ 𝑦 𝑒𝑦 1 2 𝒬 π‘ž 0 = 𝑕 π‘ž 0 Ξ¨ = Ξ¦ π‘ž 0

  9. Minimum-uncertainty states From Heisenberg uncertainty relation, we know that 𝜏 𝑦 𝜏 π‘ž β‰₯ ℏ 2 Which states satisfy the lower bound, 𝜏 𝑦 𝜏 π‘ž = ℏ 2 ? Answer: 1/4 𝑏 Ξ¨ 𝑦 = 𝐡 𝑓 βˆ’π‘ π‘¦βˆ’π‘¦ 0 2 /2ℏ 𝑓 π‘—π‘ž 0 𝑦/ℏ 𝐡 = πœŒβ„ (in optics they are called β€œsqueezed states”) ℏ 𝑏ℏ 𝜏 𝑦 = 2𝑏 , It has 𝑦 = 𝑦 0 , π‘ž = π‘ž 0 , 𝜏 π‘ž = 2 , In p -representation very similar form: 1 ℏ𝑦 Ξ¨ 𝑦 𝑒𝑦 = 𝑓 π‘—π‘ž 0 𝑦 0 /ℏ 𝐡 𝑓 βˆ’π‘— π‘ž 𝑏 𝑓 βˆ’ π‘žβˆ’π‘ž 0 2 /(2ℏ𝑏) 𝑓 βˆ’π‘—π‘¦ 0 π‘ž/ℏ Ξ¦ π‘ž = 2πœŒβ„

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