Understanding Change of Basis & Superpositioning of States

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SUMMARY

The discussion centers on the relationship between change of basis and the superposition of quantum states, specifically regarding the operators ##\hat{A}## and ##\hat{B}##, where ##\hat{B} = \hat{R}\hat{A}## after applying a rotation operator ##\hat{R}##. It is established that the eigenvectors of the operator ##\hat{A}## can be expressed as linear combinations of the eigenvectors of the operator ##\hat{B}##, and that the probabilities of measuring observables remain invariant under unitary transformations. The importance of Hermitian matrices and the proper application of unitary transformations in quantum mechanics is emphasized, clarifying misconceptions about observables and their measurement across different bases.

PREREQUISITES
  • Understanding of quantum mechanics concepts, specifically observables and operators.
  • Familiarity with linear algebra, particularly eigenvalues and eigenvectors.
  • Knowledge of unitary transformations and their role in quantum state manipulation.
  • Basic comprehension of Hilbert space and state vectors.
NEXT STEPS
  • Study the properties of Hermitian operators in quantum mechanics.
  • Learn about the implications of unitary transformations on quantum states.
  • Explore the concept of eigenstates and their significance in quantum measurements.
  • Investigate the mathematical framework of Hilbert space and its applications in quantum theory.
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Quantum physicists, students of quantum mechanics, and anyone interested in the mathematical foundations of quantum state transformations and measurements.

  • #31
Well, in general the to an eigenvalue ##a## there are several linearly independent eigenvectors (in QT one talks about "degeneracy"), and then I label them as ##|a,\beta\rangle##. You can always choose them as orthonormal sets. For a pure state represented by a normalized ##|\psi \rangle## the probability to measure the value ##a## of the observable ##A## then is
$$P(a)=\sum_{\beta} |\langle a,\beta|\psi \rangle|^2.$$
That's of course the same as
$$P(a)=\sum_{\beta} \langle a,\beta|\hat{\rho}|a,\beta \rangle$$
with
$$\hat{\rho}=|\psi \rangle \langle \psi|.$$
 
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