Probability Density |ψ|²
From wavefunction to probability
In quantum mechanics a particle in one dimension is described by its wavefunction — a complex-valued function of position and time. The wavefunction itself is not directly measurable, but its squared modulus
is the probability density: the probability of finding the particle in a small interval at time is
This is Max Born's 1926 interpretation of the wavefunction, now called the Born rule. Because is a probability density, integrating over all space must give 1:
A wavefunction that satisfies this condition is said to be normalized.
Computing for a complex amplitude
For a general complex number ,
where is the complex conjugate. When is real-valued (as in many textbook examples) this simplifies to . The squared modulus is always real and non-negative, which is necessary for it to be a probability density.
Example: Gaussian wavefunction
One of the most important wavefunctions is the Gaussian (also called a coherent state in the position basis):
where controls the spatial spread and is determined by normalization. Inserting into the normalization condition and using the Gaussian integral :
For the standard choice this gives . It is conventional to write the normalization constant as
because then and one can verify directly: .
The probability density is
which is a normalized Gaussian with peak at .
Key points
- The wavefunction can be complex; only has direct physical meaning.
- Probability density is always real and non-negative.
- To find the probability in a finite region , integrate the density: .
- The Born rule is a postulate — it connects the mathematical formalism to measured outcomes.
Try it
This is a numerical exercise — your code should return a number.
For the Gaussian wavefunction with and normalization constant , compute the probability density at , that is .
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