Topic

Quantum Mechanics and Functional Analysis

Quantum Mechanics Mathematics Foundations Hilbert Spaces

The Mathematical Framework

Quantum mechanics is, at its core, linear algebra in infinite dimensions. The natural mathematical setting is functional analysis — the study of vector spaces of functions and linear operators on them.

This is not just a convenient language; it’s the only consistent way to formulate quantum mechanics. The strange features of quantum theory (superposition, uncertainty, measurement) all emerge naturally from this mathematical structure.


Hilbert Spaces: The Arena of Quantum Mechanics

Definition

A Hilbert space \mathcal{H} is a complete inner product space. This means:

  1. Vector space: You can add states and multiply by complex numbers
  2. Inner product: A map \langle \cdot | \cdot \rangle: \mathcal{H} \times \mathcal{H} \to \mathbb{C} satisfying:
    • \langle \phi | \psi \rangle = \overline{\langle \psi | \phi \rangle} (conjugate symmetry)
    • \langle \phi | a\psi_1 + b\psi_2 \rangle = a\langle \phi | \psi_1 \rangle + b\langle \phi | \psi_2 \rangle (linearity)
    • \langle \psi | \psi \rangle \geq 0, with equality iff \psi = 0 (positive definite)
  3. Complete: Every Cauchy sequence converges

The Norm and Distance

The inner product induces a norm:

|\psi| = \sqrt{\langle \psi | \psi \rangle}

And a distance:

d(\psi, \phi) = |\psi - \phi|

Completeness means: if |\psi_n - \psi_m| \to 0, then there exists \psi \in \mathcal{H} with |\psi_n - \psi| \to 0.

Key Examples

Hilbert Space Elements Inner Product Physical Use  
\mathbb{C}^n Column vectors \langle \phi \psi \rangle = \sum_i \bar{\phi}_i \psi_i</span> Spin, finite systems
L^2(\mathbb{R}) Square-integrable functions \langle \phi \psi \rangle = \int_{-\infty}^{\infty} \bar{\phi}(x) \psi(x) \, dx</span> Position space
L^2(\mathbb{R}^3) Functions on 3D space \langle \phi \psi \rangle = \int_{\mathbb{R}^3} \bar{\phi}(\mathbf{x}) \psi(\mathbf{x}) \, d^3x</span> 3D quantum mechanics
\ell^2 Square-summable sequences \langle \phi \psi \rangle = \sum_{n=0}^{\infty} \bar{\phi}_n \psi_n</span> Harmonic oscillator

States as Vectors

The First Postulate

A quantum state is a ray in a Hilbert space.

A ray is an equivalence class of vectors differing only by a nonzero complex scalar:

[\psi] = { c\psi : c \in \mathbb{C}, c \neq 0 }

We typically work with normalized representatives:

|\psi| = 1 \quad \Leftrightarrow \quad \langle \psi | \psi \rangle = 1

Even then, an overall phase e^{i\theta}\psi represents the same physical state.

Superposition

Since \mathcal{H} is a vector space, if \psi_1 and \psi_2 are states, so is:

\psi = c_1 \psi_1 + c_2 \psi_2

This is the superposition principle — it’s simply linearity of the vector space.

Dirac Notation

Physicists use Dirac’s bra-ket notation:

Notation Meaning    
\psi\rangle</span> A vector (ket) in \mathcal{H}  
\langle\phi </span> A dual vector (bra) in \mathcal{H}^*  
\langle\phi \psi\rangle</span> Inner product  
\psi\rangle\langle\phi </span> Outer product (an operator)

The Riesz representation theorem guarantees that every continuous linear functional on \mathcal{H} has the form \psi \mapsto \langle \phi | \psi \rangle for some unique \phi \in \mathcal{H}.


Observables as Self-Adjoint Operators

The Second Postulate

Observables are self-adjoint operators on the Hilbert space.

An operator A: \mathcal{D}(A) \to \mathcal{H} is:

  • Linear: A(c_1\psi_1 + c_2\psi_2) = c_1 A\psi_1 + c_2 A\psi_2
  • Self-adjoint: A = A^\dagger and \mathcal{D}(A) = \mathcal{D}(A^\dagger)

The adjoint A^\dagger is defined by:

\langle \phi | A\psi \rangle = \langle A^\dagger \phi | \psi \rangle

for all \psi \in \mathcal{D}(A), \phi \in \mathcal{D}(A^\dagger).

Why Self-Adjoint?

Self-adjoint operators have:

  1. Real eigenvalues — measurement outcomes must be real numbers
  2. Orthogonal eigenvectors — distinct outcomes are distinguishable
  3. Spectral theorem — complete description of the operator

Key Examples

Observable Operator Domain    
Position \hat{x}\psi(x) = x\psi(x) {\psi : \int x\psi(x) ^2 dx < \infty}</span>
Momentum \hat{p}\psi(x) = -i\hbar \frac{d\psi}{dx} {\psi : \psi’ \in L^2}    
Energy \hat{H} = -\frac{\hbar^2}{2m}\nabla^2 + V(x) Depends on V    
Angular momentum \hat{L}_z = -i\hbar \frac{\partial}{\partial \phi} Periodic functions    

Bounded vs Unbounded Operators

In finite dimensions, all linear operators are bounded (continuous). In infinite dimensions:

Type Definition Examples
Bounded |A\psi| \leq C|\psi| for some C Projections, unitary operators
Unbounded No such C exists Position, momentum, Hamiltonian

Most physical observables are unbounded. This is why we need the domain \mathcal{D}(A) — the operator is only defined on a dense subspace.


The Spectral Theorem

For Bounded Self-Adjoint Operators

If A is bounded and self-adjoint:

A = \int_{\sigma(A)} \lambda \, dE(\lambda)

where:

  • \sigma(A) \subseteq \mathbb{R} is the spectrum (generalized eigenvalues)
  • E(\lambda) is the spectral measure (projection-valued measure)

For Unbounded Self-Adjoint Operators

The same formula holds, but with more care about domains. The spectrum can be:

Type Definition Example
Point spectrum True eigenvalues: A\psi = \lambda\psi Bound states of hydrogen
Continuous spectrum No eigenvectors, but (A - \lambda)^{-1} unbounded Free particle momentum
Residual spectrum (Doesn’t occur for self-adjoint operators)

Physical Interpretation

The spectral theorem says:

\langle \psi | A | \psi \rangle = \int_{\sigma(A)} \lambda \, d\langle \psi | E(\lambda) | \psi \rangle

The measure \mu_\psi(\lambda) = \langle \psi | E(\lambda) | \psi \rangle gives the probability distribution of measurement outcomes.


The Canonical Commutation Relation

Position and Momentum

The operators \hat{x} and \hat{p} satisfy:

[\hat{x}, \hat{p}] = \hat{x}\hat{p} - \hat{p}\hat{x} = i\hbar

This is the canonical commutation relation (CCR).

Proof in Position Representation

[\hat{x}, \hat{p}]\psi = x(-i\hbar\psi’) - (-i\hbar)(x\psi)’ = -i\hbar x\psi’ + i\hbar\psi + i\hbar x\psi’ = i\hbar\psi

The Stone-von Neumann Theorem

This fundamental theorem states: up to unitary equivalence, there is only one irreducible representation of the CCR.

In other words, any quantum system with one degree of freedom where [\hat{x}, \hat{p}] = i\hbar is unitarily equivalent to the standard position representation on L^2(\mathbb{R}).

The Uncertainty Principle

For any two observables A, B:

\Delta A \cdot \Delta B \geq \frac{1}{2}|\langle [A, B] \rangle|

where \Delta A = \sqrt{\langle A^2 \rangle - \langle A \rangle^2} is the standard deviation.

For position and momentum:

\Delta x \cdot \Delta p \geq \frac{\hbar}{2}

This is not a measurement limitation — it’s a fundamental property of the Hilbert space structure.


Time Evolution: Unitary Operators

The Third Postulate

Time evolution is unitary.

A unitary operator U satisfies:

U^\dagger U = U U^\dagger = I

Equivalently: U preserves inner products:

\langle U\phi | U\psi \rangle = \langle \phi | \psi \rangle

This ensures:

  • Probabilities are conserved
  • Normalization is preserved
  • Evolution is reversible

Stone’s Theorem

Every strongly continuous one-parameter unitary group U(t) has the form:

U(t) = e^{-iHt/\hbar}

for some self-adjoint operator H (the Hamiltonian).

Conversely, every self-adjoint H generates a unitary group.

The Schrödinger Equation

Differentiating |\psi(t)\rangle = U(t)|\psi(0)\rangle:

i\hbar \frac{d}{dt}|\psi(t)\rangle = H|\psi(t)\rangle

This is the Schrödinger equation — it emerges automatically from Stone’s theorem!


Measurement: Projection Operators

The Fourth Postulate

Measurement of observable A with outcome \lambda projects the state onto the eigenspace.

If A has discrete spectrum with eigenvectors |a_n\rangle:

A|a_n\rangle = a_n|a_n\rangle

The probability of outcome a_n is:

P(a_n) = |\langle a_n | \psi \rangle|^2

After measurement, the state becomes:

|\psi\rangle \to \frac{P_n|\psi\rangle}{|P_n|\psi\rangle|}

where P_n = |a_n\rangle\langle a_n| is the projection onto the eigenspace.

Projection Operators

A projection P satisfies:

  • P^2 = P (idempotent)
  • P^\dagger = P (self-adjoint)

Projections correspond to yes/no questions about the system.

Resolution of the Identity

For an observable A with complete eigenbasis:

\sum_n |a_n\rangle\langle a_n| = I

or in the continuous case:

\int |a\rangle\langle a| \, da = I

This expresses completeness: every state can be expanded in the eigenbasis.


Tensor Products: Composite Systems

Definition

For two Hilbert spaces \mathcal{H}_1, \mathcal{H}_2, the tensor product \mathcal{H}_1 \otimes \mathcal{H}_2 is the Hilbert space of the composite system.

If {|e_i\rangle} is a basis for \mathcal{H}_1 and {|f_j\rangle} for \mathcal{H}_2, then {|e_i\rangle \otimes |f_j\rangle} is a basis for \mathcal{H}_1 \otimes \mathcal{H}_2.

Product States vs Entangled States

A product state has the form:

|\psi\rangle = |\psi_1\rangle \otimes |\psi_2\rangle

An entangled state cannot be written this way:

|\Psi\rangle = \frac{1}{\sqrt{2}}(|0\rangle \otimes |1\rangle - |1\rangle \otimes |0\rangle)

Entanglement is a purely quantum phenomenon with no classical analog.

Partial Trace

For a state \rho on \mathcal{H}_1 \otimes \mathcal{H}_2, the partial trace gives the reduced state on subsystem 1:

\rho_1 = \text{Tr}_2(\rho)

This describes what observer 1 sees without access to system 2.


Summary: The Mathematical Structure

Physics Concept Mathematical Object      
State Ray in Hilbert space \mathcal{H}      
Observable Self-adjoint operator on \mathcal{H}      
Possible outcomes Spectrum of the operator      
Probability \langle a \psi \rangle ^2</span>
Expectation value \langle \psi A \psi \rangle</span>  
Time evolution Unitary operator e^{-iHt/\hbar}      
Measurement Projection onto eigenspace      
Composite system Tensor product \mathcal{H}_1 \otimes \mathcal{H}_2      
Uncertainty Non-commutativity: [A, B] \neq 0      

Key Theorems

Theorem Statement Physical Meaning
Spectral theorem Self-adjoint operators have real spectrum and spectral decomposition Observables have real outcomes
Stone’s theorem Unitary groups ↔ self-adjoint generators Time evolution ↔ energy
Stone-von Neumann CCR has unique irreducible representation Position/momentum are canonical
Riesz representation \mathcal{H}^* \cong \mathcal{H} Bras and kets are dual
Gleason’s theorem Probability measures come from density operators Born rule is (almost) forced

Why Functional Analysis?

The infinite-dimensional nature of quantum mechanics is essential, not a technicality:

  1. Continuous spectra: Position and momentum have continuous outcomes
  2. Unbounded operators: Most physical observables are unbounded
  3. Domain issues: \hat{x} and \hat{p} cannot both be bounded
  4. No finite-dimensional CCR: [A, B] = iI has no finite-dimensional representation (take trace!)

Functional analysis provides the rigorous foundation for all of this. Without it, quantum mechanics would be a collection of formal manipulations rather than a coherent mathematical theory.


References

  • J. von Neumann, Mathematical Foundations of Quantum Mechanics (Princeton University Press, 1955) — The classic text on rigorous QM
  • M. Reed and B. Simon, Methods of Modern Mathematical Physics, Vols. 1–4 (Academic Press, 1972–1979)
  • B. C. Hall, Quantum Theory for Mathematicians (Springer, 2013)
  • G. Teschl, Mathematical Methods in Quantum Mechanics, 2nd ed. (AMS, 2014) — Free online
  • F. Strocchi, An Introduction to the Mathematical Structure of Quantum Mechanics, 2nd ed. (World Scientific, 2008)
  • W. Rudin, Functional Analysis, 2nd ed. (McGraw-Hill, 1991)