Index
Chapter 3 · Item 3.3
Dirac notation: kets, bras and inner products
The state postulate in vector form
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Guided reading

The chapter now changes language. Instead of writing a state as a wave function from the start, it first defines the abstract vector notation that will be used for spin. The notation is compact, but each symbol has a clear role: kets are state vectors, bras are their dual vectors, and inner products measure overlaps.

Kets as column vectors

A ket \(|n\rangle\) is a vector in a \(d\)-dimensional Hilbert space. In a chosen basis, it can be represented as a column vector:

\[|n\rangle=\begin{pmatrix}n_1\\ n_2\\ \vdots\\ n_d\end{pmatrix}.\]

For Stern-Gerlach spin, the relevant Hilbert space is two-dimensional because the chosen spin component has two possible outcomes. That is why spin-1/2 is the natural first example for matrix mechanics.

Bras as conjugate transposes

The corresponding bra is the adjoint of the ket. It is a row vector obtained by transposing and complex conjugating the ket:

\[\langle n|=|n\rangle^\dagger=\begin{pmatrix}n_1^*&n_2^*&\cdots&n_d^*\end{pmatrix}.\]

This is why Dirac notation is efficient: the symbol \(\langle n|\) automatically reminds us that complex conjugation is part of the dual vector. That matters because quantum amplitudes can be complex.

Inner products

The product \(\langle m|n\rangle\) is an inner product. It is the matrix-mechanics version of the overlap between two states. For an orthonormal basis, the result is the Kronecker delta:

\[\langle m|n\rangle=\delta_{mn}.\]

If \(m=n\), the overlap is one; if the basis states are different, the overlap is zero. In Stern-Gerlach language, this says that the two output beams for a fixed magnet orientation represent mutually exclusive basis states.

Normalization and physical states

A physical state must be normalized, because the total probability of all possible outcomes must be one. In vector notation this reads

\[\langle\Psi|\Psi\rangle=1.\]

This compact condition replaces a familiar wave-mechanics integral. Instead of \(\int |\Psi(x)|^2dx=1\), the finite-dimensional spin example uses a finite sum of squared amplitudes.

Spin basis along z

For a Stern-Gerlach device aligned along \(z\), it is convenient to choose the two outcome states as the basis:

\[|+\rangle=\begin{pmatrix}1\\0\end{pmatrix},\qquad |-\rangle=\begin{pmatrix}0\\1\end{pmatrix}.\]

These vectors are normalized and orthogonal. They are not little arrows in ordinary space; they are abstract labels for the two possible outcomes of the spin measurement along \(z\).

Postulate for quantum states

The state postulate can now be stated in matrix language: a quantum state is completely represented by a vector \(|\Psi(t)\rangle\) in Hilbert space. The word completely is important. Once the vector is known, the theory tells us how to compute all probabilities for measurements represented in that space.

Dirac notation is the grammar; Stern-Gerlach supplies the physical vocabulary.
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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: Postulate for quantum states in vector form: a physical state is represented by a ket in Hilbert space.
  • Conceptual check: state what the main result says physically before using it algebraically.
  • Equation: \[|n\rangle=\begin{pmatrix}n_1\\ n_2\\ \vdots\\ n_d\end{pmatrix}.\]
  • Equation: \[\langle n|=|n\rangle^\dagger=\begin{pmatrix}n_1^*&n_2^*&\cdots&n_d^*\end{pmatrix}.\]
  • Equation: \[\langle m|n\rangle=\delta_{mn}.\]
  • 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.