# Hermitian operator  Main Article Discussion Related Articles  [?] Bibliography  [?] External Links  [?] Citable Version  [?] This editable Main Article is under development and subject to a disclaimer. [edit intro]

An Hermitian operator is the physicist's version of an object that mathematicians call a self-adjoint operator. It is a linear operator on a vector space V that is equipped with positive definite inner product. In physics an inner product is usually notated as a bra and ket, following Dirac. Thus, the inner product of Φ and Ψ is written as, Here "Φ is in the bra" and "Ψ is in the ket".

Physicists use the convention where is the complex conjugate of .

Physicists name the pair of linear operators each other's Hermitian adjoint when they are connected through the turn-over rule, This is expressed by the statement: "the operator Q-dagger is the Hermitian adjoint of Q". Note that the second upright bar surrounding an operator in a bra-ket does not serve any function, some physicists omit it. Evidently, since the turn-over rule may bring the operator from ket to bra and back from bra to ket, The linear operator Q is called Hermitian if it is equal to its Hermitian adjoint. That is, if then Q is Hermitian.

Except for problems associated with scattering of (nearly) free particles, it is common in physics not to consider the domain or range of the adjoint pair. The range and domain are usually taken to be the whole vector space V. Doing this, physicists assume implicitly that the vector space V is of finite dimension.

## Properties

Hermitian operators have real eigenvalues. Indeed, let from which follows , that is, the eigenvalue q is real.

Eigenvectors of a Hermitian operator associated with different eigenvalues are orthogonal. Indeed, let Then or, since q - q′ ≠ 0, which is expressed by stating that Φ and Φ′ are orthogonal (have zero inner product). In case of finite degeneracy (finite number of linearly independent eigenvectors associated with the same eigenvalue) orthogonality is not assured. However, it is always possible to orthogonalize a finite set of linearly independent set of vectors, i.e., to form linear superpositions such that the new set is orthogonal.

It can be shown that a Hermitian operator on a finite dimensional vector space has as many linearly independent eigenvectors as the dimension of the space. This means that its eigenvectors can serve as a basis of the space. Physicists often assume this to be true for operators on infinite dimensional spaces, but here one should be careful. For instance, the normalizable eigenstates of a hydrogen-like Hamilton operator do not span the whole vector space that they belong to; they do not form a basis of the Hilbert space that they belong to.

## Commuting Hermitian operators

Two operators, Q and R, are said to commute, if their commutator [Q, R] is the zero operator, i.e., if The zero operator maps any vector of the space onto the zero vector.

Commuting operators can have common eigenvectors. If Q and R commute, a set of vectors can be found that are simultaneously eigenvectors of both Hermitian operators. Conversely, if a set of common eigenvectors exist that spans the whole space, then Q and R commute.

To prove these statements, we let R have n orthogonal eigenvectors with an eigenvalue r that is n-fold degenerate, i = 1, ..., n. These eigenvectors span a linear space called the eigenspace of R belonging to r. (Note that the special case of no degeneracy follows by taking n = 1). Now, If is an eigenvector of R with eigenvalue r, and R commutes with Q, then is also an eigenvector of R with eigenvalue r. This follows by considering the expressions between brackets on the left- and rightmost side of this equation. In other words, belongs to the eigenspace associated with r, i.e., the eigenspace is stable (invariant) under Q. If belongs to an eigenspace of R, then belongs to the same eigenspace.

We are now faced with the problem of finding the eigenvectors of Q on a finite-dimensional eigenspace of R. This problem is solvable (for instance by turning it into the corresponding matrix problem) and we obtain eigenvectors of Q, Since the in this expression are all eigenvectors of R with eigenvalue r, it follows that Hence, from the commutation follows the first statement: there exists a set of common eigenvectors. If the eigenvectors of R (with different eigenvalues) span the total vector space, then this set spans the whole space, too.

Conversely, assume that the set of common eigenvectors span the whole vector space. Then for an arbitrary vector it holds that so that Since for any element of the vector space it holds that RQ = QR, the linear operators commute.

## Example

The total orbital angular momentum operator squared commutes with its z-component It can be shown that spherical harmonics are eigenvectors of both commuting operators simultaneously Hence Here is a normalization constant (for spherical harmonics usually equal unity) and the δ's are Kronecker deltas (zero if the subscripts are different, one otherwise).