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Expectation-Value Examples

Expectation values summarize repeated measurements on identically prepared systems. The calculation changes form with representation, but the physical question is always: which observable is being averaged in which state?

For a normalized pure state,

⟨A⟩ψ=⟨ψ∣A∣ψ⟩.\langle A\rangle_\psi=\langle\psi\rvert A\lvert\psi\rangle.

In position representation for a multiplication operator f(x)f(x),

⟨f(x)⟩=∫dx ψ∗(x)f(x)ψ(x).\langle f(x)\rangle =\int dx\,\psi^*(x)f(x)\psi(x).

For a density matrix,

⟨A⟩ρ=Tr⁡(ρA).\langle A\rangle_\rho=\operatorname{Tr}(\rho A).

Use Expectation Value for the compact formula card and Trace Rule Expectation Values for the density-matrix derivation.

NeedLearnMain Check
Wavefunction averageExpectation Values in Wave MechanicsOperator representation and boundary behavior
Born-rule averageExpectation ValuesMeasurement outcomes and probabilities
Oscillator energy probabilitiesNumber StatesExpansion coefficients in the energy basis
Two-state observableTwo-State HamiltoniansBasis and normalization
Density-matrix traceDensity Matrix ExpectationTrace cyclicity and tensor factor
VarianceVarianceCompute ⟨A2⟩−⟨A⟩2\langle A^2\rangle-\langle A\rangle^2, not an average absolute deviation

For a normalized two-state vector

∣ψ⟩=α∣0⟩+β∣1⟩,∣α∣2+∣β∣2=1,\lvert\psi\rangle=\alpha\lvert0\rangle+\beta\lvert1\rangle, \qquad \lvert\alpha\rvert^2+\lvert\beta\rvert^2=1,

and observable Z=∣0⟩⟨0∣−∣1⟩⟨1∣Z=\lvert0\rangle\langle0\rvert-\lvert1\rangle\langle1\rvert,

⟨Z⟩=∣α∣2−∣β∣2.\langle Z\rangle =\lvert\alpha\rvert^2-\lvert\beta\rvert^2.

This example is often safer than a wavefunction integral when the main issue is measurement basis rather than analysis.

  • Computing ⟨A⟩\langle A\rangle before checking that the state is normalized.
  • Forgetting that momentum-space and position-space forms of the same operator look different.
  • Using the diagonal entries of ρ\rho in the wrong basis.
  • Confusing ⟨A⟩\langle A\rangle with a possible measurement outcome.
  • Computing ⟨A⟩2\langle A\rangle^2 instead of ⟨A2⟩\langle A^2\rangle when finding a variance.
  • R. Shankar, Principles of Quantum Mechanics, 2nd ed., Springer, 1994.
  • J. J. Sakurai and J. Napolitano, Modern Quantum Mechanics, 3rd ed., Cambridge University Press, 2020.
  • D. J. Griffiths and D. F. Schroeter, Introduction to Quantum Mechanics, 3rd ed., Cambridge University Press, 2018.
  1. In the two-state example above, what is ⟨Z⟩\langle Z\rangle for α=1/3\alpha=1/\sqrt{3} and β=2/3\beta=\sqrt{2/3}?
Solution

The expectation value is 1/3−2/3=−1/31/3-2/3=-1/3. The possible outcomes are still +1+1 and −1-1; −1/3-1/3 is the ensemble average.