Inmathematics, particularly infunctional analysis, aprojection-valued measure, orspectral measure, is a function defined on certain subsets of a fixed set and whose values areself-adjointprojections on a fixedHilbert space.[1] A projection-valued measure (PVM) is formally similar to areal-valuedmeasure, except that its values are self-adjoint projections rather than real numbers. As in the case of ordinary measures, it is possible tointegratecomplex-valued functions with respect to a PVM; the result of such an integration is alinear operator on the given Hilbert space.
Projection-valued measures are used to express results inspectral theory, such as the importantspectral theorem forself-adjoint operators, in which case the PVM is sometimes referred to as thespectral measure. TheBorel functional calculus for self-adjoint operators is constructed using integrals with respect to PVMs. Inquantum mechanics, PVMs are the mathematical description ofprojective measurements.[clarification needed] They are generalized bypositive operator valued measures (POVMs) in the same sense that amixed state ordensity matrix generalizes the notion of apure state.
Definition
editLet denote aseparablecomplexHilbert space and ameasurable space consisting of a set and aBorel σ-algebra on . Aprojection-valued measure is a map from to the set ofbounded self-adjoint operators on satisfying the following properties:[2][3]
- is anorthogonal projection for all
- and , where is theempty set and theidentity operator.
- If in are disjoint, then for all ,
- for all
The second and fourth property show that if and are disjoint, i.e., , the images and areorthogonal to each other.
Let and itsorthogonal complement denote theimage andkernel, respectively, of . If is a closed subspace of then can be wrtitten as theorthogonal decomposition and is the unique identity operator on satisfying all four properties.[4][5]
For every and the projection-valued measure forms acomplex-valued measure on defined as
withtotal variation at most .[6] It reduces to a real-valuedmeasure when
and aprobability measure when is aunit vector.
Example Let be aσ-finite measure space and, for all , let
be defined as
i.e., as multiplication by theindicator function onL2(X). Then defines a projection-valued measure.[6] For example, if , , and there is then the associated complex measure which takes a measurable function and gives the integral
Extensions of projection-valued measures
editIfπ is a projection-valued measure on a measurable space (X,M), then the map
extends to a linear map on the vector space ofstep functions onX. In fact, it is easy to check that this map is aring homomorphism. This map extends in a canonical way to all bounded complex-valuedmeasurable functions onX, and we have the following.
Theorem—For any bounded Borel function on , there exists a uniquebounded operator such that[7][8]
where is a finiteBorel measure given by
Hence, is afinite measure space.
The theorem is also correct for unbounded measurable functions but then will be an unbounded linear operator on the Hilbert space .
This allows to define theBorel functional calculus for such operators and then pass to measurable functions via theRiesz–Markov–Kakutani representation theorem. That is, if is a measurable function, then a unique measure exists such that
Spectral theorem
editLet be aseparablecomplexHilbert space, be a boundedself-adjoint operator and thespectrum of . Then thespectral theorem says that there exists a unique projection-valued measure , defined on aBorel subset , such that[9]
where the integral extends to an unbounded function when the spectrum of is unbounded.[10]
Direct integrals
editFirst we provide a general example of projection-valued measure based ondirect integrals. Suppose (X,M, μ) is a measure space and let {Hx}x ∈X be a μ-measurable family of separable Hilbert spaces. For everyE ∈M, letπ(E) be the operator of multiplication by 1E on the Hilbert space
Thenπ is a projection-valued measure on (X,M).
Supposeπ, ρ are projection-valued measures on (X,M) with values in the projections ofH,K.π, ρ areunitarily equivalentif and only if there is a unitary operatorU:H →K such that
for everyE ∈M.
Theorem. If (X,M) is astandard Borel space, then for every projection-valued measureπ on (X,M) taking values in the projections of aseparable Hilbert space, there is a Borel measure μ and a μ-measurable family of Hilbert spaces {Hx}x ∈X, such thatπ is unitarily equivalent to multiplication by 1E on the Hilbert space
The measure class[clarification needed] of μ and the measure equivalence class of the multiplicity functionx → dimHx completely characterize the projection-valued measure up to unitary equivalence.
A projection-valued measureπ ishomogeneous of multiplicityn if and only if the multiplicity function has constant valuen. Clearly,
Theorem. Any projection-valued measureπ taking values in the projections of a separable Hilbert space is an orthogonal direct sum of homogeneous projection-valued measures:
where
and
Application in quantum mechanics
editIn quantum mechanics, given a projection-valued measure of a measurable space to the space of continuous endomorphisms upon a Hilbert space ,
- theprojective space of the Hilbert space is interpreted as the set of possible (normalizable) states of a quantum system,[11]
- the measurable space is the value space for some quantum property of the system (an "observable"),
- the projection-valued measure expresses the probability that theobservable takes on various values.
A common choice for is the real line, but it may also be
- (for position or momentum in three dimensions ),
- a discrete set (for angular momentum, energy of a bound state, etc.),
- the 2-point set "true" and "false" for the truth-value of an arbitrary proposition about .
Let be a measurable subset of and a normalizedvector quantum state in , so that its Hilbert norm is unitary, . The probability that the observable takes its value in , given the system in state , is
We can parse this in two ways. First, for each fixed , the projection is aself-adjoint operator on whose 1-eigenspace are the states for which the value of the observable always lies in , and whose 0-eigenspace are the states for which the value of the observable never lies in .
Second, for each fixed normalized vector state , the association
is a probability measure on making the values of the observable into a random variable.
A measurement that can be performed by a projection-valued measure is called aprojective measurement.
If is the real number line, there exists, associated to , a self-adjoint operator defined on by
which reduces to
if the support of is a discrete subset of .
The above operator is called the observable associated with the spectral measure.
Generalizations
editThe idea of a projection-valued measure is generalized by thepositive operator-valued measure (POVM), where the need for the orthogonality implied by projection operators is replaced by the idea of a set of operators that are a non-orthogonal "partition of unity", i.e. a set ofpositive semi-definiteHermitian operators that sum to the identity. This generalization is motivated by applications toquantum information theory.
See also
editNotes
edit- ^Conway 2000, p. 41.
- ^Hall 2013, p. 138.
- ^Reed & Simon 1980, p. 234.
- ^Rudin 1991, p. 308.
- ^Hall 2013, p. 541.
- ^abConway 2000, p. 42.
- ^Kowalski, Emmanuel (2009),Spectral theory in Hilbert spaces(PDF), ETH Zürich lecture notes, p. 50
- ^Reed & Simon 1980, p. 227,235.
- ^Reed & Simon 1980, p. 235.
- ^Hall 2013, p. 205.
- ^Ashtekar & Schilling 1999, pp. 23–65.
References
edit- Ashtekar, Abhay; Schilling, Troy A. (1999). "Geometrical Formulation of Quantum Mechanics".On Einstein's Path. New York, NY: Springer New York.arXiv:gr-qc/9706069.doi:10.1007/978-1-4612-1422-9_3.ISBN 978-1-4612-7137-6.*Conway, John B. (2000).A course in operator theory. Providence (R.I.): American mathematical society.ISBN 978-0-8218-2065-0.
- Hall, Brian C. (2013).Quantum Theory for Mathematicians. New York: Springer Science & Business Media.ISBN 978-1-4614-7116-5.
- Mackey, G. W.,The Theory of Unitary Group Representations, The University of Chicago Press, 1976
- Moretti, Valter (2017),Spectral Theory and Quantum Mechanics Mathematical Foundations of Quantum Theories, Symmetries and Introduction to the Algebraic Formulation, vol. 110, Springer,Bibcode:2017stqm.book.....M,ISBN 978-3-319-70705-1
- Narici, Lawrence; Beckenstein, Edward (2011).Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press.ISBN 978-1584888666.OCLC 144216834.
- Reed, M.;Simon, B. (1980).Methods of Modern Mathematical Physics: Vol 1: Functional analysis. Academic Press.ISBN 978-0-12-585050-6.
- Rudin, Walter (1991).Functional Analysis. Boston, Mass.: McGraw-Hill Science, Engineering & Mathematics.ISBN 978-0-07-054236-5.
- Schaefer, Helmut H.; Wolff, Manfred P. (1999).Topological Vector Spaces.GTM. Vol. 8 (Second ed.). New York, NY: Springer New York Imprint Springer.ISBN 978-1-4612-7155-0.OCLC 840278135.
- G. Teschl,Mathematical Methods in Quantum Mechanics with Applications to Schrödinger Operators,https://www.mat.univie.ac.at/~gerald/ftp/book-schroe/, American Mathematical Society, 2009.
- Trèves, François (2006) [1967].Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications.ISBN 978-0-486-45352-1.OCLC 853623322.
- Varadarajan, V. S.,Geometry of Quantum Theory V2, Springer Verlag, 1970.