Heisenberg’s Uncertainty Principle — Derivations & Applications | Engineering Physics notes

Heisenberg’s Uncertainty Principle — Derivations, Examples & Applications

Heisenberg’s Uncertainty Principle — Derivations, Examples & Applications

1. Overview & intuitive idea

Heisenberg's Uncertainty Principle is a fundamental limit in quantum mechanics: certain pairs of physical properties (observables) cannot be measured simultaneously with arbitrary precision. The best-known form is the position–momentum relation:

Δx · Δp ≥ ħ/2

Intuitively: a particle localized to a small region (small Δx) requires a superposition of many momentum components (large Δp). Conversely, a particle with a well-defined momentum must be spatially delocalized.

2. Mathematical origin: Fourier transforms & Δx Δp

At the heart of the uncertainty principle is a simple mathematical fact about Fourier transforms: a function narrow in one domain (space) has a broad transform (momentum) and vice versa.

Wavefunction picture

Let ψ(x) be the particle's wavefunction in position space and Φ(p) its momentum‑space representation (Fourier transform):

Φ(p) = (1/√(2πħ)) ∫ ψ(x) e^{-i p x / ħ} dx

Define variances:

(Δx)² = ⟨(x − ⟨x⟩)²⟩,   (Δp)² = ⟨(p − ⟨p⟩)²⟩

A rigorous application of the Cauchy–Schwarz inequality leads to the Robertson–Schrödinger form:

ΔA · ΔB ≥ (1/2) |⟨[A,B]⟩|

For A = x and B = p (with commutator [x,p] = iħ) this becomes

Δx · Δp ≥ ħ/2
Important: The factor 1/2 is exact in the variance-based uncertainty relation. Some heuristic estimates (like Δk Δx ≈ 1) omit constants; the rigorous statement uses Δx Δp ≥ ħ/2.

3. Gamma‑ray microscope (Heisenberg's thought experiment)

This gedanken experiment illustrates the trade-off between position and momentum measurement. To locate an electron you illuminate it with high-energy (short‑wavelength) photons; short λ improves spatial resolution but the photon recoil disturbs the electron momentum.

Photon source electron (target) scattered photon scattered photon Objective lens cone (semi-angle θ)

Resolution limit of the microscope (Rayleigh-like):

Δx ≈ λ / (2 sin θ)

Photon momentum ≈ h/λ. The uncertainty in electron momentum due to photon recoil (component along x) is of order

Δp_x ≈ (h/λ) · sin θ

Multiply them:

Δx · Δp_x ≈ (λ / 2 sin θ) · (h/λ · sin θ) = h/2 ≈ ħ · π

With correct constants and quantum operators, this heuristic matches the rigorous Δx Δp ≥ ħ/2 up to the factor conventions used in the heuristic estimate.

4. Single‑slit diffraction example

A particle passing through a slit of width Δx is localized in position to about Δx. Diffraction causes a spread in the outgoing momentum transverse to the slit.

First diffraction minimum for a particle with de Broglie wavelength λ occurs at sin θ ≈ λ / Δx. The transverse momentum component is p_y = p sin θ, so the uncertainty is about

Δp_y ≈ p · sin θ ≈ p · (λ / Δx) = (h/λ) · (λ / Δx) = h / Δx

Therefore

Δx · Δp_y ≈ h

Again, heuristic estimates differ by numerical factors; the rigorous variance relation gives Δx Δp ≥ ħ/2.

5. Energy–time uncertainty

There is a relation analogous to position–momentum for energy and time, often written as

ΔE · Δt ≥ ħ/2

Important caveat: time is not an operator in the same way position is in standard quantum mechanics. Δt usually refers to a characteristic timescale over which the system's state changes appreciably (lifetime of an excited state, duration of a measurement, etc.).

Example: an excited atomic state with lifetime τ has an intrinsic spectral linewidth ΔE ≈ ħ/(2τ). Short lifetimes → broad spectral lines (natural linewidth).

6. Worked numerical examples

Example A — electron in nucleus (order-of-magnitude)

Take nuclear diameter Δx ≈ 1×10⁻¹⁴ m. Minimum momentum uncertainty:

Δp_min ≈ ħ / (2 Δx) ≈ 1.055×10⁻³⁴ J·s / (2×10⁻¹⁴ m) ≈ 5.28×10⁻²¹ kg·m/s

If the electron is ultra-relativistic, minimum kinetic energy ≈ p c:

E_min ≈ Δp_min · c ≈ 5.28×10⁻²¹ × 3×10⁸ ≈ 1.58×10⁻¹² J ≈ 9.9 MeV

Using the (less strict) estimate Δp≈ħ/Δx yields about twice this energy (~19.8 MeV) — both show that an electron confined to a nucleus would have MeV-scale energy, inconsistent with observed bound electrons. Hence free electrons cannot be localized inside nuclei.

Example B — spectral linewidth from lifetime

An excited state with lifetime τ = 1 ns has minimum energy uncertainty

ΔE ≈ ħ / (2 τ) ≈ 1.055×10⁻³⁴ / (2×10⁻⁹) ≈ 5.28×10⁻²⁶ J ≈ 3.3×10⁻⁷ eV

This tiny ΔE corresponds to a very narrow spectral linewidth; much broader observed lines can come from other processes (collisional broadening, Doppler, instrument).

7. Physical consequences & applications

  • Atomic stability: The uncertainty principle prevents electrons from spiraling into the nucleus — confining them increases kinetic energy, creating stable orbitals.
  • Zero-point energy: Even at absolute zero a quantum harmonic oscillator retains non-zero energy because Δx and Δp cannot both be zero.
  • Spectroscopy: Lifetime broadening and natural linewidths follow from ΔE Δt.
  • Tunneling: The principle is related to the non-zero probability of penetrating classically forbidden regions — short localization in space allows large momentum components.
  • Limits of measurement: High-precision position measurement necessarily perturbs momentum and vice versa — important in quantum metrology and foundational experiments.

8. FAQ & common confusions

Q: Is the uncertainty principle about measurement disturbance?

Partly. Heisenberg originally emphasized measurement-induced disturbance (gamma-ray microscope). The modern, operator-based view shows uncertainties are intrinsic properties of quantum states, not only measurement back-action.

Q: Can we beat the uncertainty principle with clever instruments?

No — the inequality Δx Δp ≥ ħ/2 is a fundamental property of quantum states. However, you can prepare special states (squeezed states) that reduce uncertainty in one variable at the expense of increasing it in the conjugate variable.

Q: Why do some textbook estimates use Δx Δp ≈ h instead of ħ/2?

Heuristic derivations, diffraction-based arguments, or order-of-magnitude estimates often drop numeric factors. For rigorous variance definitions the correct inequality uses ħ/2.

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