Eigenvalues & Spectral Theory
The spectrum of observables and measurement outcomes
3.1 Eigenvalue Problem
The eigenvalue equation is central to quantum mechanics:
where $a$ is the eigenvalue and $|a\rangle$ is the corresponding eigenvector (or eigenstate).
Physical Interpretation:
When we measure an observable $\hat{A}$, we get one of its eigenvalues $a$. If the system is in eigenstate $|a\rangle$, the measurement always yields $a$ with certainty!
Discrete Spectrum
For bound systems (e.g., electron in atom), eigenvalues are discrete:
Continuous Spectrum
For unbound systems (e.g., free particle), eigenvalues form a continuum:
3.2 Spectral Theorem
For a Hermitian operator $\hat{A}$, eigenvectors corresponding to different eigenvalues are orthogonal:
Completeness Relation
For discrete spectrum, eigenstates form a complete orthonormal basis:
Any state can be expanded:
where $c_n = \langle n|\psi\rangle$ are probability amplitudes and $|c_n|^2$ is the probability of finding the system in state $|n\rangle$.
3.3 Example: Harmonic Oscillator
The quantum harmonic oscillator has Hamiltonian:
Eigenvalues (energy levels) are:
Note the zero-point energy $E_0 = \frac{1}{2}\hbar\omega$ even for the ground state! This is a purely quantum effect with no classical analog.
Key Concepts
- • Eigenvalues of Hermitian operators are measurable values
- • Eigenstates of different eigenvalues are orthogonal
- • Completeness: any state expands in eigenbasis
- • $|c_n|^2 = |\langle n|\psi\rangle|^2$ gives measurement probabilities
- • Discrete spectrum: bound states; Continuous: unbound states