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Positive operator

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In mathematics (specifically linear algebra, operator theory, and functional analysis) as well as physics, a linear operator acting on an inner product space is called positive-semidefinite (or non-negative) if, for every , , where is the domain of . Positive-semidefinite operators are denoted as . The operator is said to be positive-definite, and written , if for all .

In physics (specifically quantum mechanics), such operators represent quantum states, via the density matrix formalism.

Cauchy-Schwarz inequality

If then

Indeed, let Applying Cauchy-Schwarz inequality to the inner product

as proves the claim.

It follows that If is defined everywhere, and then

A≥0 ⇔ A*≥0

Indeed, if then

The inverse is proved likewise.

If A≥0 and Dom A=HC, then A is self-adjoint and bounded

Without loss of generality, let the inner product be anti-linear on the first argument and linear on the second. (If the reverse is true, then we work with instead). The polarization identity

and the fact that for positive operators, show that so is symmetric, and hence and For to be self-adjoint, it is necessary that In our case, the equality of domains holds because so is indeed self-adjoint.

The fact that is bounded follows either from the Hellinger–Toeplitz theorem or the following argument. The graph of a linear operator is defined as In our case, the reader can verify that the set is topologically closed in The Closed graph theorem then guarantees that the operator is continuous and therefore bounded.

This property does not hold on

Application to physics: quantum states

The definition of a quantum system includes a complex separable Hilbert space and a set of positive trace-class operators on for which The set is the set of states. Every is called a state or a density operator. For where the operator of projection onto the span of is called a pure state. (Since each pure state is identifiable with a unit vector some sources define pure states to be unit elements from States that are not pure are called mixed.

References

  • Conway, John (1990), A course in functional analysis, Springer Verlag, ISBN 0-387-97245-5