Beta

15. Uncertainty Principle, 2D Waves

Below is a short summary and detailed review of this video written by FutureFactual:

Dispersion, Uncertainty, and Multidimensional Wave Dynamics: MIT OCW Lecture

Overview

This lecture revisits how waves travel in dispersive media and how information can be transmitted without distortion using amplitude modulation. It connects the group and phase velocities to intuitive wave behavior and prepares the ground for multidimensional wave analysis.

  • Demonstrates how AM modulation separates the signal from carrier dynamics in a dispersive medium
  • Introduces the idea that group velocity and phase velocity play distinct roles in wave propagation
  • Sets up the jump to higher-dimensional wave systems with symmetry-based normal modes

Introduction and Recap

The lecture begins with a quick recap of dispersive media, Fourier transforms, and how a medium’s dispersion relation dictates that different frequency components travel at different speeds. The instructor emphasizes decomposing motion into frequency space and tracing its time evolution using group and phase velocities.

Amplitude Modulation and Wave Structure

The talk then reviews amplitude modulation as a strategy to prevent information smearing. A slowly varying signal is multiplied by a fast carrier, and when the carrier frequency greatly exceeds the signal bandwidth, the resulting wave factorizes into a slowly varying envelope moving at the group velocity and a carrier moving at the phase velocity. The key takeaway is the separation of information-carrying content from the carrier, illustrating the physical meaning of group and phase velocities.

“that’s actually how AM radio actually works.” - Professor D

Exact Test Function and Lorentzian Spectrum

Next, the lecturer introduces a symmetric test function F(t) = e^{-gamma|t|}, whose Fourier transform yields a Lorentzian frequency distribution C(omega) proportional to gamma/(gamma^2 + omega^2). As gamma increases, the time-domain width narrows while the frequency-domain width broadens, illustrating the trade-off between time localization and spectral localization.

For gamma = 0.1 the time distribution is wide and the frequency distribution is narrow; increasing gamma tightens time but widens frequency, highlighting the fundamental time-frequency trade-off intrinsic to waves.

“delta omega times delta t will be larger or equal to 1 over 2.” - Professor D

Quantifying Width and Uncertainty

To make the trade-off precise, intensity is defined as F(t)^2, and time and frequency spreads, delta T and delta Omega, are defined via weighted averages. The aim is to prove delta Omega delta T ≥ 1/2, a Heisenberg-like relation for waves that follows purely from the mathematics of wave functions, independent of the medium.

“This is actually an intrinsic property of wave function.” - Professor D

From Waves to Quantum Connections

The discussion then links these wave-based limits to quantum uncertainty, showing how replacing omega with i∂/∂t leads to a familiar relation delta X delta P ≥ ħ/2 in quantum mechanics, underscoring that the uncertainty principle is deeply rooted in wave mathematics and not confined to quantum theory alone.

These ideas are then tied back to practical implications, such as communications bandwidth and time resolution in AM radiowave systems, illustrating the fundamental limits set by dispersion and bandwidth.

Two-Dimensional and Three-Dimensional Waves

The lecture moves into higher dimensions, noting that a plate with translation symmetry supports normal modes that are separable in x and y, yielding waveforms like exp(i kx x) exp(i ky y). For finite plates, boundary conditions lead to sine-type patterns with nodal lines, demonstrated with a plate driven by a speaker and sand patterns that form intricate two-dimensional mode shapes as frequency increases.

The sand demonstrations visually reveal how energy concentrates along nodal lines at higher frequencies, providing an intuitive bridge to the mathematics of two-dimensional normal modes.

Relativistic Dispersion and Photon Mass

The instructor then discusses light dispersion in the context of special relativity, deriving the photon dispersion relation omega^2 = C^2 k^2 + omega_0^2 from E^2 = p^2 c^2 + m^2 c^4 and the photon energy E = ħ omega. The omega_0 term would imply a photon mass, but astronomical and laboratory measurements constrain it tightly, with apparent dispersion arising instead from media effects such as plasma.

Closing and Outlook

The video concludes with a look ahead to more complex dimensional analyses and the continued exploration of wave phenomena across 1D, 2D, and 3D systems, including demonstrations and interactive demos to deepen intuition.

To find out more about the video and MIT OpenCourseWare go to: 15. Uncertainty Principle, 2D Waves.

Related posts

featured
MIT OpenCourseWare
·18/04/2018

14. Fourier Transform, AM Radio

featured
MIT OpenCourseWare
·18/04/2018

13. Dispersive Medium, Phase Velocity, Group Velocity

featured
MIT OpenCourseWare
·18/04/2018

Exam Review

featured
MIT OpenCourseWare
·18/04/2018

9. Wave Equation, Standing Waves, Fourier Series