Summary

General Principles

Wave Functions and the Probability Density

We cannot predict the exact trajectory of an atomic particle such as an electron. The best we can do is to predict the probability that a particle will be found in some region of space. The probability is determined by the particle’s wave function ψ(x).

The figure consists of two parts that illustrate the wave function and probability distribution plot of a particle in space.
  • ψ(x) is a continuous, wave-like (i.e., oscillatory) function.

  • The probability that a particle will be found in the narrow interval δx at position x is

    Prob(in δx at x)=|ψ(x)|2 δx
  • |ψ(x)|2 is the probability density P(x).

  • For the probability interpretation of ψ(x) to make sense, the wave function must satisfy the normalization condition:

    ∫−∞∞P(x) dx=∫−∞∞| ψ(x)|2 dx=1

    That is, it is certain that the particle is somewhere on the x-axis.

  • For an extended interval

    Prob(xL≤x≤xR)=∫xLxR| ψ( x)|2 dx=area under the curve
The figure illustrates particles in a strip of thickness delta x.

Heisenberg Uncertainty Principle

A particle with wave-like characteristics does not have a precise value of position x or a precise value of momentum px. Both are uncertain. The position uncertainty Δx and momentum uncertainty Δpx are related by Δx Δpx≥h/2. The more you try to pin down the value of one, the less precisely the other can be known.

The figure illustrates a snapshot graph of a wave packet.

Important Concepts

The probability that a particle is found in region A is

PA=limNtot→∞ NANtot

If the probability is known, the expected number of A outcomes in N trials is NA=NPA.

The figure illustrates a circular region on a surface.

A wave packet of duration Δt can be created by the superposition of many waves spanning the frequency range Δf. These are related by

Δf Δt≈1
The figure illustrates the History graph of a wave packet with duration delta t.

Terms and Notation