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State vectors, dual space, inner products, and orthonormality
This module introduces Dirac notation, the compact language of quantum mechanics. We define kets as abstract state vectors, bras as dual vectors, the inner product as a bridge between the two, and the concepts of normalization, orthogonal states, and orthonormal bases.
A ket denotes a vector in the Hilbert space of a quantum system. The symbol is a label; it can be a wave function, a spin state, or any other descriptor. Kets encode the complete physical state of the system at a given time.
Kets can be added and multiplied by complex scalars following the usual vector-space rules. A superposition such as is itself a valid state, as long as it is nonzero. This linearity is the mathematical expression of quantum superposition.
A basis provides a concrete representation. Expanding a ket as gives a column of amplitudes . The choice of basis is arbitrary but often dictated by the observable being measured.
Dirac notation separates the abstract vector from its coordinates. This makes formulas cleaner and emphasizes physical content. For example, the Schrödinger equation can be written without committing to a representation.
Ket superposition
Basis expansion
Schrödinger equation
For every Hilbert space , there is a dual space consisting of all continuous linear functionals on . The Riesz representation theorem guarantees that every such functional can be written as an inner product with a unique ket. Dirac denotes this functional by , called a bra.
Given a ket , the corresponding bra is obtained by Hermitian conjugation: it is the row vector whose entries are the complex conjugates of the entries of . In equations, .
Bras act on kets to produce complex numbers. The expression is the inner product of and . It is linear in the ket and conjugate-linear in the bra . This asymmetry reflects the complex structure of .
The bra-ket machinery makes it easy to talk about dual bases. If is an orthonormal basis, the dual basis is . A vector can be reconstructed from its bra by conjugation, and vice versa.
Bra from ket
Dual basis
Conjugation reverses products
The inner product is a map that is conjugate-linear in the first argument and linear in the second. It satisfies , is positive definite, and obeys the Cauchy-Schwarz inequality.
In a finite orthonormal basis, the inner product becomes the sum . This is the complex dot product with conjugation on the first vector. In function spaces it becomes an integral, .
The inner product measures the overlap between two states. If , the states are orthogonal. If and both states are normalized, they represent the same physical state up to a global phase.
Many quantum formulas are inner products in disguise. The probability of measuring outcome j is , the expectation value of an operator is , and transition amplitudes are . Dirac notation makes these structures transparent.
Conjugate symmetry
Finite basis
Cauchy-Schwarz
Adjust the Gaussian width and observe that the probability density (purple) is rescaled so that the total area under |ψ|² stays equal to 1.
The norm of a ket is defined by . A state with is called normalized, or a unit vector. Normalization ensures that probabilities sum to 1 when the Born rule is applied.
Any nonzero ket can be normalized by dividing by its norm: . This rescaling does not change the physical state because a global phase or positive rescaling is unobservable. Quantum states are therefore rays in Hilbert space, not individual vectors.
The set of normalized states in forms the Bloch sphere. A general pure qubit state can be written , with and . Points on the sphere correspond to distinct physical states.
A state vector that is not normalized still carries the same directional information but must be normalized before computing probabilities. Many intermediate calculations are easier if normalization is imposed only at the end.
Norm
Normalization
Bloch-sphere state
Adjust the Gaussian width and observe that the probability density (purple) is rescaled so that the total area under |ψ|² stays equal to 1.
Two kets and are orthogonal if . Orthogonal states are maximally distinct: if the system is definitely in one of them, it has zero probability of being found in the other.
A set of vectors is orthonormal if every vector has norm 1 and distinct vectors are orthogonal. In symbols, , where is the Kronecker delta. Orthonormal bases are the most convenient bases for calculations because inner products reduce to single terms.
The Gram-Schmidt process converts any linearly independent set into an orthonormal set with the same span. This guarantees that every finite-dimensional Hilbert space has an orthonormal basis. In infinite dimensions, separability ensures the existence of a countable orthonormal basis.
Orthonormal bases simplify expansions. The coefficient of in is simply , and the norm squared is . These formulas are used constantly in quantum mechanics.
Orthogonality
Orthonormality
Coefficient
Gram-Schmidt turns a set of linearly independent vectors into an orthogonal basis, then normalizes each vector to unit length.
Let with orthonormal basis . Define and . Compute , , and check whether the states are orthogonal.
Step 1 -- Inner product. Using , we get . Conjugation on the first vector is essential.
Step 2 -- Norm of . , so .
Step 3 -- Orthogonality. Since , the states are not orthogonal. Their squared overlap is .
States
Inner product
Norm
Papers:
David J. Griffiths, Introduction to Quantum Mechanics, 2nd ed., Appendix A: Linear Algebra.
Michael A. Nielsen and Isaac L. Chuang, Quantum Computation and Quantum Information, §2.1.
1. What is the bra corresponding to the ket ?
2. Which property characterizes the inner product ?
3. A set of states satisfies . What is it called?
4. If , what can be concluded?
5. What is the norm of ?