Index
Chapter 3 · Item 3.5
Operators, eigenvalues and spectral decomposition
From matrix elements to the possible outcomes of a measurement
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Guided reading

Once states are vectors, observables must be represented by objects that act on vectors. In a chosen basis, those objects are matrices. This section follows one continuous chain: construct the matrix elements, identify the eigenstates with definite outcomes, and then rebuild the operator from those outcomes through its spectral decomposition.

Inner product versus outer product

The expression \(\langle n|\Psi\rangle\) is an inner product: it returns a number, the projection amplitude. The expression \(|n\rangle\langle n|\) is an outer product: it returns an operator, or matrix, that projects onto the state \(|n\rangle\).

\[\langle n|\Psi\rangle \;\hbox{is a number},\qquad |n\rangle\langle n|\;\hbox{is a matrix}.\]

This distinction is essential. Projection amplitudes become probabilities, while projectors become the building blocks of observables and measurements.

Building an operator from identities

Insert the completeness relation on both sides of an operator:

\[\hat A=\hat 1\hat A\hat 1=\left(\sum_m |m\rangle\langle m|\right)\hat A\left(\sum_n |n\rangle\langle n|\right).\]

Expanding this expression gives

\[\hat A=\sum_{m,n}\langle m|\hat A|n\rangle |m\rangle\langle n|.\]

The numbers \(A_{mn}=\langle m|\hat A|n\rangle\) are the matrix elements of the operator in the basis \(\{|n\rangle\}\).

Matrix representation

In the standard basis, each outer product \(|m\rangle\langle n|\) contributes to one row and one column of the matrix. Thus a \(d\)-dimensional operator can be written as

\[\hat A=\begin{pmatrix}A_{11}&A_{12}&\cdots&A_{1d}\\A_{21}&A_{22}&\cdots&A_{2d}\\\vdots&\vdots&\ddots&\vdots\\A_{d1}&A_{d2}&\cdots&A_{dd}\end{pmatrix}.\]

This is the formal reason matrix mechanics is called matrix mechanics: the observable is represented by the table of all its actions between basis states.

Postulate for observables

The postulate for observables says that every measurable quantity is represented by a Hermitian operator. In the Stern-Gerlach case, the measurable quantity is a spin projection along the axis selected by the magnet. The possible results are obtained from the eigenvalue equation.

\[\hat A|a_n\rangle=a_n|a_n\rangle.\]

If the incoming state is \(|a_n\rangle\), the measurement gives \(a_n\) with certainty. Thus the eigenvectors are the definite-value states and the eigenvalues are the numbers that the apparatus can display.

Spectral form begins here

If the basis vectors are eigenvectors of \(\hat A\), then \(\hat A|a_n\rangle=a_n|a_n\rangle\). Substituting this into the matrix expansion collapses the double sum into a simpler expression:

\[\hat A=\sum_n a_n|a_n\rangle\langle a_n|.\]

This spectral form is the bridge to measurement. The projectors select the outcome channels; the numbers \(a_n\) label the values displayed by the apparatus.

Stern-Gerlach interpretation

For SG(Z), the basis \(\{|+\rangle,|-\rangle\}\) is already the eigenbasis of the measured observable. For SG(X), the eigenbasis is \(\{|+\rangle_x,|-\rangle_x\}\). The same physical spin space is being used; the operator changes because the measurement axis changes.

\[\hat\sigma_u|+\rangle_u=+|+\rangle_u,\qquad \hat\sigma_u|-\rangle_u=-|-\rangle_u.\]
An operator is a measurement question written in a basis.
What a matrix element means

A matrix element \(A_{mn}=\langle m|\hat A|n\rangle\) tells how much of the output along \(|m\rangle\) is produced when \(\hat A\) acts on the input basis state \(|n\rangle\).

\[\hat A|n\rangle=\sum_m A_{mn}|m\rangle.\]

Columns therefore describe the transformed basis vectors. This interpretation helps students read matrices physically rather than treating them as arrays of disconnected numbers.

For observables, the special basis is the eigenbasis, where the matrix becomes diagonal and the diagonal entries are possible measurement outcomes.

Exercise-ready boundary

This page is designed to support short guided exercises on: matrix representations, definite-value states and spectral decomposition.

  • Use from this page: the definitions, physical setup, highlighted equations and conceptual links needed to start a first calculation or explanation.
  • Keep in the book: complete derivations, extended historical discussion, worked solutions and the full textbook narrative remain in the original chapter and linked book resources.
  • Good exercise balance: ask the student to identify assumptions, apply one relation, and interpret the result physically, without requiring material not introduced on this page.
Practice anchors

Use these anchors to design compact exercises. The exercise should be answerable from this page plus standard algebra, while longer derivations, full worked examples and broader context should point back to the original book.

  • Focus: connect matrix elements, the eigenvalue equation and the spectral form of an observable.
  • Conceptual check: state what the main result says physically before using it algebraically.
  • Equation: \[\langle n|\Psi\rangle \;\hbox{is a number},\qquad |n\rangle\langle n|\;\hbox{is a matrix}.\]
  • Equation: \[\hat A=\hat 1\hat A\hat 1=\left(\sum_m |m\rangle\langle m|\right)\hat A\left(\sum_n |n\rangle\langle n|\right).\]
  • Equation: \[\hat A=\sum_{m,n}\langle m|\hat A|n\rangle |m\rangle\langle n|.\]
  • Equation: \[\hat A|a_n\rangle=a_n|a_n\rangle,\qquad \hat A=\sum_n a_n|a_n\rangle\langle a_n|.\]
  • Boundary: use this page for setup and first-step reasoning; cite the book for longer derivations, complete experimental history or solved-problem detail.
  • Typical task: derive, interpret, or apply the relation above to a simple case without introducing topics outside this page.
Source note: Original auxiliary summary for this book-app, based on Chapter 3 of Mario Reis, Quantum Mechanics, Elsevier, 2026. Book text and figures are copyright © 2026 Elsevier Inc. Cropped figures are shown here with source indication for educational review; consult the original book for the complete presentation.