Expectation Value of an Observable
Also known as: Quantum average · Mean value
A quantum measurement gives random results, but repeat it on many identically prepared systems and the results have a definite average. The expectation value is that average — sandwich the operator between the wavefunction and its conjugate and integrate. For position it's literally the center of mass of |ψ|². It is not the 'expected' single outcome (you may never measure it) but the mean of a huge ensemble of measurements.
The expectation value ⟨x⟩ is the balance point of the probability cloud |ψ|² as the packet shifts.
Equivalent forms
One integral turns the probability cloud |ψ|² into a single number — the bridge from quantum randomness to a measurable average.
Where it holds
Dimensional analysis
Once Born's rule identified |ψ|² as a probability density (1926), the average of any observable followed as the probability-weighted mean. Dirac's bra-ket formalism recast it as the elegant ⟨ψ|Â|ψ⟩, making expectation values the workhorse of quantum predictions.
- Predicting mean energy, position, and momentum of quantum states
- Computing observables in quantum chemistry
- Defining variance = ⟨Â⟩ ⟨Â⟩ uncertainty
- ⟨Â⟩ need not be an allowed eigenvalue — the average spin results can be 0
- Operator order matters: ⟨|Â|⟩ is  general
- It describes an ensemble average, not the outcome of one measurement
What if…
Then ⟨Â⟩ equals that eigenvalue exactly and the variance is zero — a definite, repeatable measurement.
Divide by ⟨⟩: ⟨Â⟩ = ⟨|Â|⟩/⟨⟩, so probabilities still sum to one.
⟨x⟩ of a symmetric state
- | even, x is odd, so
- Integral of an odd function over symmetric limits is 0
- ⟨x⟩ — the packet is centered