Movatterモバイル変換


[0]ホーム

URL:


Wikipedia

Projection-valued measure

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

edit

LetH{\displaystyle H}  denote aseparablecomplexHilbert space and(X,M){\displaystyle (X,M)}  ameasurable space consisting of a setX{\displaystyle X}  and aBorel σ-algebraM{\displaystyle M}  onX{\displaystyle X} . Aprojection-valued measureπ{\displaystyle \pi }  is a map fromM{\displaystyle M}  to the set ofbounded self-adjoint operators onH{\displaystyle H}  satisfying the following properties:[2][3]

π(j=1Ej)v=j=1π(Ej)v.{\displaystyle \pi \left(\bigcup _{j=1}^{\infty }E_{j}\right)v=\sum _{j=1}^{\infty }\pi (E_{j})v.} 

The second and fourth property show that ifE1{\displaystyle E_{1}}  andE2{\displaystyle E_{2}}  are disjoint, i.e.,E1E2={\displaystyle E_{1}\cap E_{2}=\emptyset } , the imagesπ(E1){\displaystyle \pi (E_{1})}  andπ(E2){\displaystyle \pi (E_{2})}  areorthogonal to each other.

LetVE=im(π(E)){\displaystyle V_{E}=\operatorname {im} (\pi (E))}  and itsorthogonal complementVE=ker(π(E)){\displaystyle V_{E}^{\perp }=\ker(\pi (E))}  denote theimage andkernel, respectively, ofπ(E){\displaystyle \pi (E)} . IfVE{\displaystyle V_{E}}  is a closed subspace ofH{\displaystyle H}  thenH{\displaystyle H}  can be wrtitten as theorthogonal decompositionH=VEVE{\displaystyle H=V_{E}\oplus V_{E}^{\perp }}  andπ(E)=IE{\displaystyle \pi (E)=I_{E}}  is the unique identity operator onVE{\displaystyle V_{E}}  satisfying all four properties.[4][5]

For everyξ,ηH{\displaystyle \xi ,\eta \in H}  andEM{\displaystyle E\in M}  the projection-valued measure forms acomplex-valued measure onH{\displaystyle H}  defined as

μξ,η(E):=π(E)ξη{\displaystyle \mu _{\xi ,\eta }(E):=\langle \pi (E)\xi \mid \eta \rangle } 

withtotal variation at mostξη{\displaystyle \|\xi \|\|\eta \|} .[6] It reduces to a real-valuedmeasure when

μξ(E):=π(E)ξξ{\displaystyle \mu _{\xi }(E):=\langle \pi (E)\xi \mid \xi \rangle } 

and aprobability measure whenξ{\displaystyle \xi }  is aunit vector.

Example Let(X,M,μ){\displaystyle (X,M,\mu )}  be aσ-finite measure space and, for allEM{\displaystyle E\in M} , let

π(E):L2(X)L2(X){\displaystyle \pi (E):L^{2}(X)\to L^{2}(X)} 

be defined as

ψπ(E)ψ=1Eψ,{\displaystyle \psi \mapsto \pi (E)\psi =1_{E}\psi ,} 

i.e., as multiplication by theindicator function1E{\displaystyle 1_{E}}  onL2(X). Thenπ(E)=1E{\displaystyle \pi (E)=1_{E}}  defines a projection-valued measure.[6] For example, ifX=R{\displaystyle X=\mathbb {R} } ,E=(0,1){\displaystyle E=(0,1)} , andφ,ψL2(R){\displaystyle \varphi ,\psi \in L^{2}(\mathbb {R} )}  there is then the associated complex measureμφ,ψ{\displaystyle \mu _{\varphi ,\psi }}  which takes a measurable functionf:RR{\displaystyle f:\mathbb {R} \to \mathbb {R} }  and gives the integral

Efdμφ,ψ=01f(x)ψ(x)φ¯(x)dx{\displaystyle \int _{E}f\,d\mu _{\varphi ,\psi }=\int _{0}^{1}f(x)\psi (x){\overline {\varphi }}(x)\,dx} 

Extensions of projection-valued measures

edit

Ifπ is a projection-valued measure on a measurable space (X,M), then the map

χEπ(E){\displaystyle \chi _{E}\mapsto \pi (E)} 

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.

The theorem is also correct for unbounded measurable functionsf{\displaystyle f}  but thenT{\displaystyle T}  will be an unbounded linear operator on the Hilbert spaceH{\displaystyle H} .

This allows to define theBorel functional calculus for such operators and then pass to measurable functions via theRiesz–Markov–Kakutani representation theorem. That is, ifg:RC{\displaystyle g:\mathbb {R} \to \mathbb {C} }  is a measurable function, then a unique measure exists such that

g(T):=Rg(x)dπ(x).{\displaystyle g(T):=\int _{\mathbb {R} }g(x)\,d\pi (x).} 

Spectral theorem

edit

LetH{\displaystyle H}  be aseparablecomplexHilbert space,A:HH{\displaystyle A:H\to H}  be a boundedself-adjoint operator andσ(A){\displaystyle \sigma (A)}  thespectrum ofA{\displaystyle A} . Then thespectral theorem says that there exists a unique projection-valued measureπA{\displaystyle \pi ^{A}} , defined on aBorel subsetEσ(A){\displaystyle E\subset \sigma (A)} , such that[9]

A=σ(A)λdπA(λ),{\displaystyle A=\int _{\sigma (A)}\lambda \,d\pi ^{A}(\lambda ),} 

where the integral extends to an unbounded functionλ{\displaystyle \lambda }  when the spectrum ofA{\displaystyle A}  is unbounded.[10]

Direct integrals

edit

First we provide a general example of projection-valued measure based ondirect integrals. Suppose (X,M, μ) is a measure space and let {Hx}xX be a μ-measurable family of separable Hilbert spaces. For everyEM, letπ(E) be the operator of multiplication by 1E on the Hilbert space

XHx dμ(x).{\displaystyle \int _{X}^{\oplus }H_{x}\ d\mu (x).} 

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:HK such that

π(E)=Uρ(E)U{\displaystyle \pi (E)=U^{*}\rho (E)U\quad } 

for everyEM.

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}xX, such thatπ is unitarily equivalent to multiplication by 1E on the Hilbert space

XHx dμ(x).{\displaystyle \int _{X}^{\oplus }H_{x}\ d\mu (x).} 

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:

π=1nω(πHn){\displaystyle \pi =\bigoplus _{1\leq n\leq \omega }(\pi \mid H_{n})} 

where

Hn=XnHx d(μXn)(x){\displaystyle H_{n}=\int _{X_{n}}^{\oplus }H_{x}\ d(\mu \mid X_{n})(x)} 

and

Xn={xX:dimHx=n}.{\displaystyle X_{n}=\{x\in X:\dim H_{x}=n\}.} 

Application in quantum mechanics

edit

In quantum mechanics, given a projection-valued measure of a measurable spaceX{\displaystyle X}  to the space of continuous endomorphisms upon a Hilbert spaceH{\displaystyle H} ,

A common choice forX{\displaystyle X}  is the real line, but it may also be

LetE{\displaystyle E}  be a measurable subset ofX{\displaystyle X}  andφ{\displaystyle \varphi }  a normalizedvector quantum state inH{\displaystyle H} , so that its Hilbert norm is unitary,φ=1{\displaystyle \|\varphi \|=1} . The probability that the observable takes its value inE{\displaystyle E} , given the system in stateφ{\displaystyle \varphi } , is

Pπ(φ)(E)=φπ(E)(φ)=φπ(E)φ.{\displaystyle P_{\pi }(\varphi )(E)=\langle \varphi \mid \pi (E)(\varphi )\rangle =\langle \varphi \mid \pi (E)\mid \varphi \rangle .} 

We can parse this in two ways. First, for each fixedE{\displaystyle E} , the projectionπ(E){\displaystyle \pi (E)}  is aself-adjoint operator onH{\displaystyle H}  whose 1-eigenspace are the statesφ{\displaystyle \varphi }  for which the value of the observable always lies inE{\displaystyle E} , and whose 0-eigenspace are the statesφ{\displaystyle \varphi }  for which the value of the observable never lies inE{\displaystyle E} .

Second, for each fixed normalized vector stateφ{\displaystyle \varphi } , the association

Pπ(φ):Eφπ(E)φ{\displaystyle P_{\pi }(\varphi ):E\mapsto \langle \varphi \mid \pi (E)\varphi \rangle } 

is a probability measure onX{\displaystyle X}  making the values of the observable into a random variable.

A measurement that can be performed by a projection-valued measureπ{\displaystyle \pi }  is called aprojective measurement.

IfX{\displaystyle X}  is the real number line, there exists, associated toπ{\displaystyle \pi } , a self-adjoint operatorA{\displaystyle A}  defined onH{\displaystyle H}  by

A(φ)=Rλdπ(λ)(φ),{\displaystyle A(\varphi )=\int _{\mathbb {R} }\lambda \,d\pi (\lambda )(\varphi ),} 

which reduces to

A(φ)=iλiπ(λi)(φ){\displaystyle A(\varphi )=\sum _{i}\lambda _{i}\pi ({\lambda _{i}})(\varphi )} 

if the support ofπ{\displaystyle \pi }  is a discrete subset ofX{\displaystyle X} .

The above operatorA{\displaystyle A}  is called the observable associated with the spectral measure.

Generalizations

edit

The 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

edit

Notes

edit
  1. ^Conway 2000, p. 41.
  2. ^Hall 2013, p. 138.
  3. ^Reed & Simon 1980, p. 234.
  4. ^Rudin 1991, p. 308.
  5. ^Hall 2013, p. 541.
  6. ^abConway 2000, p. 42.
  7. ^Kowalski, Emmanuel (2009),Spectral theory in Hilbert spaces(PDF), ETH Zürich lecture notes, p. 50
  8. ^Reed & Simon 1980, p. 227,235.
  9. ^Reed & Simon 1980, p. 235.
  10. ^Hall 2013, p. 205.
  11. ^Ashtekar & Schilling 1999, pp. 23–65.

References

edit

[8]ページ先頭

©2009-2025 Movatter.jp