Fourier Analysis and Distributions
Fourier analysis builds a function from waves. A broad range of wavelengths can combine into a narrow pulse; a nearly single wavelength produces a long wave train. In quantum mechanics, the same calculation changes a position wavefunction into a momentum wavefunction.
Distributions extend this language to idealized point sources and plane waves. Start with Fourier transforms and packets; return to the distribution pages when a delta function or a singular integral enters your calculation.
Enter this chapter
Section titled “Enter this chapter”- For a first calculation: review Complex Exponentials if needed, then read Fourier Transform and work through its Gaussian example. Wave Packets shows what the transform means for localization and motion.
- For a particle in a box or on a ring: start with Fourier Series. The boundary conditions select a discrete set of waves.
- For continuous momentum states: read Delta Function, then Distributions. Their defining rule is to test a singular expression inside an integral.
- For singular response and scattering integrals: continue to Distributional Derivatives and Principal Value Distributions.
Keep the transform and inverse together
Section titled “Keep the transform and inverse together”For position and physical momentum , we use
The signs are opposite, and both prefactors are the same. The exponent is dimensionless. Plancherel’s theorem ensures that : these are two descriptions of the same normalized state.
Mathematical tables often use wave number , sometimes with different prefactors. Fourier Transform Tables for QM explains the conversion; Fourier Transform Conventions gives a compact reminder.
Find the calculation you need
Section titled “Find the calculation you need”| Page | Central question |
|---|---|
| Periodic Functions and Fourier Series | How are periodic functions expanded in discrete orthogonal modes? |
| Fourier Transform | How is a position-space function decomposed into momentum components? |
| Inverse Fourier Transform | Under which convention and hypotheses is the original function reconstructed? |
| Plancherel and Parseval Theorems | Why are norms and inner products preserved? |
| Convolution | When does a sliding integral become multiplication after transformation? |
| Wave Packets | How do normalizable superpositions balance spatial and momentum localization? |
| Position and Momentum Representations | How do states and operators look in momentum space? |
| Delta Function | How is ideal localization defined under an integral? |
| Distributions | Which test-function framework makes generalized functions precise? |
| Distributional Derivatives | How do derivatives encode jumps and point sources? |
| Principal Value Distributions | How are singular integrals and prescriptions interpreted? |
| Poisson Summation Formula | How are real-space and reciprocal-space lattice sums related? |
| Fourier Transform Tables for QM | How are transform pairs translated safely into the local convention? |
Check your understanding
Section titled “Check your understanding”Suppose you move a packet to the right without changing its shape: . Does its momentum probability distribution change?
Solution
Set in the forward transform. This gives . The extra factor has modulus one, so . The displacement is stored in relative phases of momentum components, not in their probabilities.
For sampled functions on a computer, continue to the Fast Fourier Transform. A finite grid introduces spacing, window-size, and periodicity assumptions in addition to the continuous formulas above.
References
Section titled “References”- Folland, Gerald B. Fourier Analysis and Its Applications. American Mathematical Society, 2009. Fourier series, transforms, and convergence.
- Lighthill, M. J. Introduction to Fourier Analysis and Generalised Functions. Cambridge University Press, 1958. A concise introduction to distributions through Fourier calculations.
- Stein, Elias M., and Rami Shakarchi. Fourier Analysis: An Introduction. Princeton University Press, 2003. Proofs and examples for the mathematical theory.