Hermitian operators have real eigenvalues and orthogonal eigenstates — essential for observables.
Theorem 4.1. If A^ is Hermitian, then:
All eigenvalues are real.
Eigenstates corresponding to distinct eigenvalues are orthogonal.
The eigenstates form a complete basis (for the space of physical states).
Proof that eigenvalues are real. Let A^∣a⟩=a∣a⟩ with ⟨a∣a⟩=1. Then:
⟨a∣A^∣a⟩=a⟨a∣a⟩=a
Taking the complex conjugate:
⟨a∣A^∣a⟩∗=⟨a∣A^†∣a⟩=⟨a∣A^∣a⟩=a∗
Where the second equality uses A^=A^†. Therefore a=a∗So a is real. ■
Proof that eigenstates are orthogonal. Let A^∣a⟩=a∣a⟩ and A^∣b⟩=b∣b⟩ With a=b:
⟨b∣A^∣a⟩=a⟨b∣a⟩
⟨b∣A^∣a⟩=⟨A^b∣a⟩=b∗⟨b∣a⟩=b⟨b∣a⟩
Where the last step uses b∗=b (eigenvalues are real). Therefore:
(a−b)⟨b∣a⟩=0
Since a=bWe must have ⟨b∣a⟩=0. ■
Theorem 4.2 (Spectral Theorem). Every Hermitian operator on a finite-dimensional Hilbert space Has a complete orthonormal set of eigenvectors. In infinite dimensions, this holds for Self-adjoint operators with a discrete spectrum; operators with continuous spectra require the Spectral theorem in its general form (resolution of the identity).
4.3 Commutators
The commutator of two operators is [A^,B^]=A^B^−B^A^.
Theorem 4.3 (Generalised Uncertainty Principle). For observables A^ and B^:
Correspondence principle. Ehrenfest’s theorem embodies the correspondence principle: in the Classical limit (large quantum numbers or ℏ→0), quantum expectation values follow Classical trajectories. However, this is only exact for linear or quadratic potentials; for general Potentials, ⟨V′(x)⟩=V′(⟨x⟩)So quantum corrections persist even For large systems.
4.6 Solving Eigenvalue Equations
To find the eigenvalues and eigenvectors of an operator A^Solve:
A^∣ϕ⟩=a∣ϕ⟩⟹det(A^−aI^)=0
The roots give the eigenvalues; substituting each back yields the eigenvectors.
Example 4.3. Find the eigenvalues and eigenvectors of S^x=2ℏ(0110).
Solution
det(2ℏ(−a11−a))=0⟹a2−1=0⟹a=±1
Eigenvalues are ±ℏ/2.
For a=+1: (−111−1)(c1c2)=0⟹c1=c2. Normalised: ∣+⟩x=21(11).
For a=−1: c1=−c2. Normalised: ∣−⟩x=21(1−1).
These are equal superpositions of the Sz eigenstates. Note that measuring Sx on a state of Definite Sz gives probabilistic outcomes, and vice versa.