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Cylinder set measure

From Wikipedia, the free encyclopedia

Inmathematics,cylinder set measure (orpromeasure, orpremeasure, orquasi-measure, orCSM) is a kind of prototype for ameasure on an infinite-dimensionalvector space. An example is theGaussian cylinder set measure onHilbert space.

Cylinder set measures are in generalnot measures (and in particular need not becountably additive but onlyfinitely additive), but can be used to define measures, such as theclassical Wiener measure on the set of continuous paths starting at the origin inEuclidean space. This is done in the construction of theabstract Wiener space where one defines a cylinder set Gaussian measure on a separable Hilbert space and chooses a Banach space in such a way that the cylindrical measure becomes σ-additive on the cylindrical algebra.

The terminology is not always consistent in the literature. Some authors call cylinder set measures justcylinder measure orcylindrical measures (see e.g.[1][2][3]), while some reserve this word only for σ-additive measures.

Definition

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There are two equivalent ways to define a cylinder set measure.

One way is to define it directly as a set function on thecylindrical algebra such that certain restrictions on smaller σ-algebras are σ-additive measure. This can also be expressed in terms of a finite-dimensional linear operator.

Denote byCyl(N,M){\displaystyle {\mathcal {Cyl}}(N,M)} the cylindrical algebra defined for two spaces withdual pairing,:=,N,M{\displaystyle \langle ,\rangle :=\langle ,\rangle _{N,M}}, i.e. the set of all cylindrical sets

Cf1,,fm,B={xN:(x,f1,,x,fm)B}{\displaystyle C_{f_{1},\dots ,f_{m},B}=\{x\in N\colon (\langle x,f_{1}\rangle ,\dots ,\langle x,f_{m}\rangle )\in B\}}

for somef1,,fmM{\displaystyle f_{1},\dots ,f_{m}\in M} andBB(Rm){\displaystyle B\in {\mathcal {B}}(\mathbb {R} ^{m})}.[4][5] This is an algebra which can also be written as the union of smaller σ-algebras.

Definition on the cylindrical algebra

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LetX{\displaystyle X} be atopological vector space overR{\displaystyle \mathbb {R} }, denote its algebraic dual asX{\displaystyle X^{*}} and letGX{\displaystyle G\subseteq X^{*}} be a subspace. Then the set functionμ:Cyl(X,G)R+{\displaystyle \mu :{\mathcal {Cyl}}(X,G)\to \mathbb {R} _{+}}is acylinder set measure (orcylinderical measure) if for any finite setF={f1,,fn}G{\displaystyle F=\{f_{1},\dots ,f_{n}\}\subset G} the restriction to

μ:σ(Cyl(X,F))R+{\displaystyle \mu :\sigma ({\mathcal {Cyl}}(X,F))\to \mathbb {R} _{+}}

is a σ-additive measure. Notice thatσ(Cyl(X,F)){\displaystyle \sigma ({\mathcal {Cyl}}(X,F))} is a σ-algebra whileCyl(X,G){\displaystyle {\mathcal {Cyl}}(X,G)} is not.[1][2][6]

As usual ifμ(X)=1{\displaystyle \mu (X)=1} we call it acylindrical probability measure.

Operatic definition

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LetE{\displaystyle E} be arealtopological vector space. LetA(E){\displaystyle {\mathcal {A}}(E)} denote the collection of allsurjectivecontinuous linear mapsT:EFT{\displaystyle T:E\to F_{T}} defined onE{\displaystyle E} whose image is some finite-dimensional real vector spaceFT{\displaystyle F_{T}}:A(E):={TLin(E;FT):T surjective and dimRFT<+}.{\displaystyle {\mathcal {A}}(E):=\left\{T\in \mathrm {Lin} (E;F_{T}):T{\mbox{ surjective and }}\dim _{\mathbb {R} }F_{T}<+\infty \right\}.}

Acylinder set measure onE{\displaystyle E} is a collection ofmeasures{μT:TA(E)}.{\displaystyle \left\{\mu _{T}:T\in {\mathcal {A}}(E)\right\}.}

whereμT{\displaystyle \mu _{T}} is a measure onFT.{\displaystyle F_{T}.} These measures are required to satisfy the following consistency condition: ifπST:FSFT{\displaystyle \pi _{ST}:F_{S}\to F_{T}} is a surjectiveprojection, then thepush forward of the measure is as follows:μT=(πST)(μS).{\displaystyle \mu _{T}=\left(\pi _{ST}\right)_{*}\left(\mu _{S}\right).}

Ifμ(E)=1{\displaystyle \mu (E)=1} then it's acylindrical probability measure. Some authors define cylindrical measures explicitly as probability measures, however they don't need to be.

Connection to the abstract Wiener spaces

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Main article:abstract Wiener space

Let(H,B,i){\displaystyle (H,B,i)} be anabstract Wiener space in its classical definition byLeonard Gross. This is a separableHilbert spaceH{\displaystyle H}, a separable Banach spaceB{\displaystyle B} that is the completion under ameasurable norm orGross-measurable norm1{\displaystyle \|\cdot \|_{1}} and a continuous linear embeddingi:HB{\displaystyle i:H\to B} with dense range. Gross then showed that this construction allows to continue a cylindrical Gaussian measure as a σ-additive measure on the Banach space. More precisely letH{\displaystyle H'} be the topological dual space ofH{\displaystyle H}, he showed that a cylindrical Gaussian measure onH{\displaystyle H} defined on the cylindrical algebraCyl(H,H){\displaystyle {\mathcal {Cyl}}(H,H')} will be σ-additive on the cylindrical algebraCyl(B,B){\displaystyle {\mathcal {Cyl}}(B,B')} of the Banach space. Hence the measure is also σ-additive on the cylindrical σ-algebraE(B,B):=σ(Cyl(B,B)).{\displaystyle {\mathcal {E}}(B,B'):=\sigma ({\mathcal {Cyl}}(B,B')).} This follows from theCarathéodory's extension theorem, and is therefore also a measure in the classical sense.[7]

Remarks

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The consistency conditionμT=(πST)(μS){\displaystyle \mu _{T}=\left(\pi _{ST}\right)_{*}(\mu _{S})}is modelled on the way that true measures push forward (see the sectioncylinder set measures versus true measures). However, it is important to understand that in the case of cylinder set measures, this is a requirement that is part of the definition, not a result.

A cylinder set measure can be intuitively understood as defining a finitely additive function on thecylinder sets of the topological vector spaceE.{\displaystyle E.} Thecylinder sets are thepre-images inE{\displaystyle E} of measurable sets inFT{\displaystyle F_{T}}: ifBT{\displaystyle {\mathcal {B}}_{T}} denotes theσ{\displaystyle \sigma }-algebra onFT{\displaystyle F_{T}} on whichμT{\displaystyle \mu _{T}} is defined, thenCyl(E):={T1(B):BBT,TA(E)}.{\displaystyle \mathrm {Cyl} (E):=\left\{T^{-1}(B):B\in {\mathcal {B}}_{T},T\in {\mathcal {A}}(E)\right\}.}

In practice, one often takesBT{\displaystyle {\mathcal {B}}_{T}} to be theBorelσ{\displaystyle \sigma }-algebra onFT.{\displaystyle F_{T}.} In this case, one can show that whenE{\displaystyle E} is aseparableBanach space, the σ-algebra generated by the cylinder sets is precisely the Borelσ{\displaystyle \sigma }-algebra ofE{\displaystyle E}:Borel(E)=σ(Cyl(E)).{\displaystyle \mathrm {Borel} (E)=\sigma \left(\mathrm {Cyl} (E)\right).}

Cylinder set measures versus true measures

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A cylinder set measure onE{\displaystyle E} is not actually a true measure onE{\displaystyle E}: it is a collection of measures defined on all finite-dimensional images ofE.{\displaystyle E.} IfE{\displaystyle E} has a probability measureμ{\displaystyle \mu } already defined on it, thenμ{\displaystyle \mu } gives rise to a cylinder set measure onE{\displaystyle E} using the push forward: setμT=T(μ){\displaystyle \mu _{T}=T_{*}(\mu )}onFT.{\displaystyle F_{T}.}

When there is a measureμ{\displaystyle \mu } onE{\displaystyle E} such thatμT=T(μ){\displaystyle \mu _{T}=T_{*}(\mu )} in this way, it is customary toabuse notation slightly and say that the cylinder set measure{μT:TA(E)}{\displaystyle \left\{\mu _{T}:T\in {\mathcal {A}}(E)\right\}} "is" the measureμ.{\displaystyle \mu .}

Cylinder set measures on Hilbert spaces

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When the Banach spaceE{\displaystyle E} is also aHilbert spaceH,{\displaystyle H,} there is acanonical Gaussian cylinder set measureγH{\displaystyle \gamma ^{H}} arising from theinner product structure onH.{\displaystyle H.} Specifically, if,{\displaystyle \langle \cdot ,\cdot \rangle } denotes the inner product onH,{\displaystyle H,} let,T{\displaystyle \langle \cdot ,\cdot \rangle _{T}} denote thequotient inner product onFT.{\displaystyle F_{T}.} The measureγTH{\displaystyle \gamma _{T}^{H}} onFT{\displaystyle F_{T}} is then defined to be the canonicalGaussian measure onFT{\displaystyle F_{T}}:γTH:=i(γdimFT),{\displaystyle \gamma _{T}^{H}:=i_{*}\left(\gamma ^{\dim F_{T}}\right),}wherei:Rdim(FT)FT{\displaystyle i:\mathbb {R} ^{\dim(F_{T})}\to F_{T}} is anisometry of Hilbert spaces taking theEuclidean inner product onRdim(FT){\displaystyle \mathbb {R} ^{\dim(F_{T})}} to the inner product,T{\displaystyle \langle \cdot ,\cdot \rangle _{T}} onFT,{\displaystyle F_{T},} andγn{\displaystyle \gamma ^{n}} is the standardGaussian measure onRn.{\displaystyle \mathbb {R} ^{n}.}

The canonical Gaussian cylinder set measure on an infinite-dimensional separable Hilbert spaceH{\displaystyle H} does not correspond to a true measure onH.{\displaystyle H.} The proof is quite simple: the ball of radiusr{\displaystyle r} (and center 0) has measure at most equal to that of the ball of radiusr{\displaystyle r} in ann{\displaystyle n}-dimensional Hilbert space, and this tends to 0 asn{\displaystyle n} tends to infinity. So the ball of radiusr{\displaystyle r} has measure 0; as the Hilbert space is a countable union of such balls it also has measure 0, which is a contradiction. (Seeinfinite dimensional Lebesgue measure.)

An alternative proof that the Gaussian cylinder set measure is not a measure uses theCameron–Martin theorem and a result on thequasi-invariance of measures. IfγH=γ{\displaystyle \gamma ^{H}=\gamma } really were a measure, then theidentity function onH{\displaystyle H} wouldradonify that measure, thus makingid:HH{\displaystyle \operatorname {id} :H\to H} into anabstract Wiener space. By the Cameron–Martin theorem,γ{\displaystyle \gamma } would then be quasi-invariant under translation by any element ofH,{\displaystyle H,} which implies that eitherH{\displaystyle H} is finite-dimensional or thatγ{\displaystyle \gamma } is the zero measure. In either case, we have a contradiction.

Sazonov's theorem gives conditions under which thepush forward of a canonical Gaussian cylinder set measure can be turned into a true measure.

Nuclear spaces and cylinder set measures

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A cylinder set measure on the dual of anuclearFréchet space automatically extends to a measure if its Fourier transform is continuous.

Example: LetS{\displaystyle S} be the space ofSchwartz functions on a finite dimensional vector space; it is nuclear. It is contained in the Hilbert spaceH{\displaystyle H} ofL2{\displaystyle L^{2}} functions, which is in turn contained in the space oftempered distributionsS,{\displaystyle S^{\prime },} the dual of thenuclearFréchet spaceS{\displaystyle S}:SHS.{\displaystyle S\subseteq H\subseteq S^{\prime }.}

The Gaussian cylinder set measure onH{\displaystyle H} gives a cylinder set measure on the space of tempered distributions, which extends to a measure on the space of tempered distributions,S.{\displaystyle S^{\prime }.}

The Hilbert spaceH{\displaystyle H} has measure 0 inS,{\displaystyle S^{\prime },} by the first argument used above to show that the canonical Gaussian cylinder set measure onH{\displaystyle H} does not extend to a measure onH.{\displaystyle H.}

See also

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References

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  1. ^abBogachev, Vladimir (1998).Gaussian Measures. Rhode Island:American Mathematical Society.
  2. ^abN. Vakhania, V. Tarieladze and S. Chobanyan (1987).Probability Distributions on Banach Spaces. Mathematics and its Applications. Springer Netherlands. p. 390.ISBN 9789027724960.LCCN 87004931.
  3. ^Xia, Dao-Xing; Brody, Elmer J. (1972).Measure and Integration Theory on Infinite-Dimensional Spaces: Abstract Harmonic Analysis. Ukraine: Academic Press.
  4. ^N. Vakhania, V. Tarieladze and S. Chobanyan (1987).Probability Distributions on Banach Spaces. Mathematics and its Applications. Springer Netherlands. p. 4.ISBN 9789027724960.LCCN 87004931.
  5. ^Bogachev, Vladimir Igorevich; Smolyanov, Oleg Georgievich (2017).Topological Vector Spaces and Their Applications. Springer Monographs in Mathematics. Springer Cham. p. 327-333.doi:10.1007/978-3-319-57117-1.ISBN 978-3-319-57116-4.
  6. ^Smolyanov, Oleg Georgievich; Fomin, Sergei Vasilyevich (1976). "Measures on linear topological spaces".Russian Math. Surveys.31 (4): 12.Bibcode:1976RuMaS..31....1S.doi:10.1070/RM1976v031n04ABEH001553.
  7. ^Gross, Leonard (1967). "Abstract Wiener spaces".Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability. Band 2:Contributions to Probability Theory, Part 1. University of California Press: 35.
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