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Superposition

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If A & B commute, an eigenfunction of one may or may not be an eigenfunction of ... If A and B don't commute, then measuring A doesn't necessarily limit range of B ... – PowerPoint PPT presentation

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Title: Superposition


1
Superposition
  • Quantum Mechanics
  • PHYS481

2
Problems for Section 5.1
  • 5.2 State in a 1-d box
  • 5.5 Energy probabilities in a 1-d box
  • 5.9 In the middle of a box
  • 5.10 Not in the right half of a box

3
Problems for Section 5.2
  • 5.12 Commutators for 3 operators
  • 5.13 Commutator for Hermitian operators
  • 5.15 Linear independence of functions
  • 5.18 Commutator for common eigenstates

4
Problems for 5.3
  • 5.20 Phase factors

5
Problems for 5.4
  • 5.22 Momentum energy for trig states
  • 5.24 Operator product commutators
  • 5.25 Miscellaneous uncertainty relations
  • 5.28 Deriving energy-time uncertainty

6
Problems for Section 5.5
  • 5.35 Taylor expansion
  • 5.40 Averages and sqrt variances
  • 5.41 Uncertainty in 1-d box

7
Commutators
  • Commutator of A B A,B AB BA
  • To find A,B g(x) commutator ? g(x)
  • For A B to commute, their commutator 0
  • Also A B are said to be compatible
  • Always commute with constants
  • Always commute with their squares
  • Always commute with functions of themselves
  • TRICK expansion ep exp (p) ?(1/n!) pn
    (see eq 5.58)
  • NB all functions are trigonometric summations
    (Fourier)
  • Nonzero commutator examples
  • x,p i?
  • x,p2 2i ?p
  • x2,p 2i ?x
  • E,t i?

8
Common eigenfunctions
  • THEOREM If A B commute, A and B have
    nontrivial common eigenfunctions.
  • Be able to prove this
  • APPLICATION Momentum and energy have common
    eigenfunctions

9
Linear independence
  • Set of functions are linearly independent IF
    linear combination is 0 only if all coeff are 0
  • In Hilbert space, if two vectors are linearly
    independent, they dont point in same direction
  • One must rotate to align them
  • How many eigenvectors are there corresponding to
    any given eigenvalue? How many linearly
    independent eigenvectors?

10
Degeneracy
  • An eigenvalue is degenerate if it corresponds to
    more than one eigenvector (provided they are
    independent of one another)
  • Doubly degenerate if there are two independent
    eigenvectors
  • N-fold degenerate if there are N independent
    eigenvectors
  • An operator is degenerate if it has degenerate
    eigenvalues

11
Sharing eigenvectors
  • If A B commute, an eigenfunction of one may or
    may not be an eigenfunction of the other,
    depending on the degeneracy of A B.
  • degenerate operators have more eigenstates than
    nondegenerate ones
  • Eigenvectors may be degenerate wrt one operator
    and not in the other (Refer to Venn diagrams on
    p.138)
  • THEOREM One can form N linear combinations
    which are N linearly independent eigenstates of
    both A and B
  • Eg. free particle energy eigenvalue (doubly
    degenerate)
  • Eigenvector of H is also eigenvector of p2
  • Eigenvector of H can be cos, sin, or exp
  • p,H 0 but sin and cos are not eigenvectors of
    p

12
Uncertainty
  • Uncertainty relations have origins in
    compatibility properties
  • ?A ?B ? ½ lt A,B gt
  • Eg. ?x ?p ? ½ lt i? gt ½ i?
  • Recall ?A ?A ltA2gt - ltAgt2 ? 0
  • Alternate way of calculating uncertainty/errors
  • If A and B dont commute, then measuring A
    doesnt necessarily limit range of B
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