Induced measures on μ** -measurable sets

13
This article was downloaded by: [University of Western Ontario] On: 11 November 2014, At: 16:49 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK Journal of Interdisciplinary Mathematics Publication details, including instructions for authors and subscription information: http://www.tandfonline.com/loi/tjim20 Induced measures on μ** -measurable sets Peter S. Chami a & Norris Sookoo b a Department of Computer Science, Mathematics and Physics , Faculty of Applied Sciences The University of the West Indies , Cavehill, St. Michael , Barbados b The University of Trinidad and Tobago O’Meara Campus , Lots # 74–98 O’Meara Industrial Park Arima, Trinidad , West Indies Published online: 28 May 2013. To cite this article: Peter S. Chami & Norris Sookoo (2010) Induced measures on μ** -measurable sets, Journal of Interdisciplinary Mathematics, 13:6, 691-702, DOI: 10.1080/09720502.2010.10700727 To link to this article: http://dx.doi.org/10.1080/09720502.2010.10700727 PLEASE SCROLL DOWN FOR ARTICLE Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be relied upon and should be independently verified with primary sources of information. Taylor and Francis shall not be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and other liabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to or arising out of the use of the Content. This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. Terms & Conditions of access and use can be found at http:// www.tandfonline.com/page/terms-and-conditions

Transcript of Induced measures on μ** -measurable sets

Page 1: Induced measures on μ** -measurable sets

This article was downloaded by: [University of Western Ontario]On: 11 November 2014, At: 16:49Publisher: Taylor & FrancisInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: MortimerHouse, 37-41 Mortimer Street, London W1T 3JH, UK

Journal of Interdisciplinary MathematicsPublication details, including instructions for authors and subscription information:http://www.tandfonline.com/loi/tjim20

Induced measures on µ** -measurable setsPeter S. Chami a & Norris Sookoo ba Department of Computer Science, Mathematics and Physics , Faculty of AppliedSciences The University of the West Indies , Cavehill, St. Michael , Barbadosb The University of Trinidad and Tobago O’Meara Campus , Lots # 74–98 O’MearaIndustrial Park Arima, Trinidad , West IndiesPublished online: 28 May 2013.

To cite this article: Peter S. Chami & Norris Sookoo (2010) Induced measures on µ** -measurable sets, Journal ofInterdisciplinary Mathematics, 13:6, 691-702, DOI: 10.1080/09720502.2010.10700727

To link to this article: http://dx.doi.org/10.1080/09720502.2010.10700727

PLEASE SCROLL DOWN FOR ARTICLE

Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) containedin the publications on our platform. However, Taylor & Francis, our agents, and our licensors make norepresentations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose ofthe Content. Any opinions and views expressed in this publication are the opinions and views of the authors,and are not the views of or endorsed by Taylor & Francis. The accuracy of the Content should not be reliedupon and should be independently verified with primary sources of information. Taylor and Francis shallnot be liable for any losses, actions, claims, proceedings, demands, costs, expenses, damages, and otherliabilities whatsoever or howsoever caused arising directly or indirectly in connection with, in relation to orarising out of the use of the Content.

This article may be used for research, teaching, and private study purposes. Any substantial or systematicreproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in anyform to anyone is expressly forbidden. Terms & Conditions of access and use can be found at http://www.tandfonline.com/page/terms-and-conditions

Page 2: Induced measures on μ** -measurable sets

Induced measures on µ∗∗ -measurable sets

Peter S. Chami ∗2

Department of Computer Science, Mathematics and PhysicsFaculty of Applied Sciences4

The University of the West IndiesCavehill, St. Michael6

Barbados

Norris Sookoo8

The University of Trinidad and TobagoO’Meara Campus10

Lots # 74-98 O’Meara Industrial ParkArima, Trinidad12

West Indies

Abstract14

We investigate extension of a measure to a very general set of undetermined structure.Structure may be imposed on this set in special cases.16

Keywords and phrases : Lebesgue, topological spaces, Lukasiewicz tribe, σ -algebra, measures.

1. Introduction18

Interest in the extension has continued into recent times with atten-tion being paid to special types of measures, or to extension into particular20

types of sets, rather than just the general theory of extension of measures.[2] showed that the Lebesgue-like extension of every finitely measure on22

the Cartesian product of a countable number of discrete topological spacesare a measure on the lattice of open sets. [6] Considered G -invariant24

measures, where G is and at most countable group of bijections. [3]Established that each sequentially continuous normed measure on a bold26

∗E-mail: [email protected]

——————————–Journal of Interdisciplinary MathematicsVol. 13 (2010), No. 6, pp. 691–702c© Taru Publications

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692 P. S. CHAMI AND N. SOOKOO

algebra of fuzzy sets can be uniquely extended to sequentially continuousmeasure on the generated Lukasiewicz tribe. [4] Also characterized ex-2

tension of probability measures as a completely categorical construction.We consider extension of a measure onto a very general set, so there is4

great variety in its possible structure. In a particular situation, appropriatestructure can be imposed.6

A measure µ on a ring R induces an outer measure µ∗ on thesmallest σ -set H(R) containing R . µ∗ in turn induces a complete8

measure on S̄ , the σ -algebra of all µ∗ -measurable sets (c.f. [5]). Weinvestigate whether µ may induce a measure on a very general set. We10

show that µ induces a complete measure on a set containing S̄ whicharises in a natural way by considering sets whose intersections with12

µ∗ -measurable sets are also µ∗ -measurable. This was suggested by thedefinition of sets measurable with respect to a measurable space (c.f. [1]).14

The results obtained are generalizations of results from [5].

2. Definitions and notations16

Definition. Let (G,B) be a measurable space. Let A ⊂ G , and supposethat for every B ∈ B , we have A ∩ B ∈ B . We then say that A18

is measurable with respect to (G, B) . We denote the totality of suchmeasurable sets A by B̃ . (c.f. [1]).20

The following definition and two notations are from [5].

Notation. For any class E of sets, S(E) is the smallest σ -ring contain-22

ing E .

Definition. A non-empty class E of sets is hereditary if24

F ⊂ E, whenever E ⊂ E and F ⊂ E.

Notation. H(R) denotes the smallest hereditary set containing a ring R .26

Notation. Let X be a set having non-empty intersection with the setcontaining all elements occurring in the sets of R .28

Notation. Let K = {B ∈ X|B ∩ E ∈ H(R) for all E ∈ H(R)} .

Definition. A set Q ∈ K is µ∗∗ -measurable if Q ∩ E is µ∗ -measurable30

∀ E ∈ H 3 E is µ∗ -measurable; that is , if ∀ A ∈ H and for anyµ∗ -measurable set E ,32

µ∗(A) = µ∗[A ∩ (Q ∩ E)] +µ∗[A ∩ (Q ∩ E)c] .

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INDUCED MEASURES ON µ∗∗ -MEASURABLE SETS 693

3. Induced measures

Theorem 3.1. If µ∗ is an outer measure on a hereditary σ -ring H and if ¯̄S is2

the class of all µ∗∗ -measurable sets, then ¯̄S is a ring.

Proof. Let L, M ∈ ¯̄S . Then for any G ∈ S̄ , L ∩ G ∈ S̄ and M ∩ G ∈ S̄ .4

Therefore

(L ∪ M) ∩ G ∈ S̄ .6

Therefore

L ∪ M ∈ ¯̄S . (I)8

We now show that (M − L) ∩ G ∈ S̄ , ∀ G ∈ S̄ .Since M ∩ G is µ∗ -measurable,10

µ∗(A) = µ∗[A ∩ (M ∩ G)] +µ∗[A ∩ (M ∩ G)′] . (II)

Since L ∩ G is µ∗ -measurable,12

µ∗[A ∩ (M ∩ G)] = µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)′] . (III)14

Also,

µ∗[A ∩ (M ∩ G)′] = µ∗[(A ∩ (M ∩ G)′ ∩ (L ∩ G)]16

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)′] . (IV)

Substituting (III) and (IV) into (II)18

µ∗(A) = µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)′]20

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)′] . (V)22

It is not difficult to establish that:

A ∩ (M ∩ G) ∩ (L ∩ G)′ = A ∩ [(M − L) ∩ G] . (VI)24

Also, substituting A ∩ [(M ∩ L′) ∩ G]′ in place of A in (V).

µ∗{A ∩ [(M − L) ∩ G]′}26

= µ∗{A ∩ [(M ∩ L′) ∩ G]′}= µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)}28

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694 P. S. CHAMI AND N. SOOKOO2

+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ [(M ∩ G) ∩ (L ∩ G)′]}+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)}4

+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)′} . (VII)

We can easily prove (1), (2), (3) and (4) below.6

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)

= A ∩ (M ∩ G) ∩ (L ∩ G) , (1)8

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)′ = φ , (2)

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)10

= A ∩ (M ∩ G)′ ∩ (L ∩ G) , (3)

A ∩ [(M ∪ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)′12

= A ∩ (M ∩ G)′ ∩ (L ∩ G)′ . (4)

From (V), (VI), (1) ,(2), (3), and (4)14

µ∗(A) = µ∗{An[(M − L)nG]}+µ∗{A ∩ [(M − L) ∩ G]′} .

Hence (M − L) ∩ G is µ∗ -measurable for any G ∈ S̄ .16

Hence (M − L) is µ∗∗ -measurable, i.e.,

(M − L) ∈ ¯̄S . (VIII)18

From (I) and (VIII) ¯̄S is a ring. ¤

Theorem 3.2. If µ∗ is an outer measure on a hereditary σ -ring H and if ¯̄S is20

in the class of all µ∗∗ -measurable sets, then ¯̄S is a σ -ring.

Proof. Let L1, L2, . . . be an infinite sequence of sets in ¯̄S Then for any22

G ∈ S̄, Li ∩ G ∈ S̄; i = 1, 2, . . . ,

(L1 ∪ L2 ∪ . . .) ∩ G = (L1 ∩ G) ∪ (L2 ∩ G) ∪ . . . ∈ S̄ ,24

since S̄ is an r -ring (Theorem B).

Hence (L1 ∪ L2 ∪ . . .) ∈ ¯̄S .26

Hence ¯̄S is a σ -ring. ¤

Definition. Let µ̃ be a set function defined on ¯̄S by28

µ̃(P) = supT∈S̄

µ∗(P ∩ T), ∀ P ∈ ¯̄S .

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Page 6: Induced measures on μ** -measurable sets

INDUCED MEASURES ON µ∗∗ -MEASURABLE SETS 695

Lemma 3.3. If A ∈ H and if {Ln} is a disjoint sequence of sets in ¯̄S with∞⋃

n=1Ln = L , then2

supT∈S̄

∞∑

n=1µ∗(A ∩ Ln ∩ T) =

∞∑

n=1supT∈S̄

µ∗(A ∩ Ln ∩ T) .

Proof. Let µ∗(A ∩ Tn ∩ T) take its maximum value for T = Tn and let4

∞⋃n=1

Tn = U . Then U ∈ S̄ and

supT∈S̄

µ∗(A ∩ Ln ∩ T) = µ∗(A ∩ Ln ∩ U) . (I)6

Suppose that ∃ V ∈ S̄ 3 ∞∑

n=1µ∗(A ∩ Ln ∩ V) >

∞∑

n=1µ∗(A ∩ Ln ∩ U) .

Then ∃ some value of n , N says, 3 µ∗(A ∩ Ln ∩ V) > µ∗(A ∩ Ln ∩ U) ,8

contradicting (I).

Hence10

supT∈S̄

∞∑

n=1µ∗(A ∩ Ln ∩ T) =

∞∑

n=1µ∗(A ∩ Ln ∩ U)

=∞∑

n=1supT∈S̄

µ∗(A ∩ Ln ∩ T) . ¤12

Theorem 3.4. If A ∈ H and if {Ln} is a disjoint sequence of sets in ¯̄S with∞⋃

n=1Ln = L , then14

µ̃(A ∩ L) =∞∑

n=1µ̃(A ∩ Ln) .

Proof. Let T be an arbitrary element of S̄ . Then {Ln ∩ T} is a disjoint16

sequence of sets in S̄ and L ∩ T =∞V

n=1(Ln ∩ T) .

Hence18

µ∗(A ∩ L ∩ T) =∞∑

n=1µ∗(A ∩ Ln ∩ T)

from Theorem 11.B, by [5], therefore20

supT∈S̄

∞∑

n=1µ∗[A ∩ (Ln) ∩ T] =

∞∑

n=1supT∈S̄

µ∗(A ∩ Ln ∩ T)

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Page 7: Induced measures on μ** -measurable sets

696 P. S. CHAMI AND N. SOOKOO

from the previous lemma.

I.e., µ̃(A ∩ L) =∞∑

n=1µ̃(A ∩ Ln) . ¤2

Definition. The set function µ̄ is defined on S̄ by

µ̄(E) = µ∗(E), for E ∈ S̄.4

Remark. µ̄ is a complete measure on S̄ (Theorem 11(c), [5]).

Lemma 3.5.6

supT∈S̄

{ ∞∑

n=1µ̄(Ln ∩ T)

}=

∞∑

n=1supT∈S̄

µ̄(Ln ∩ T) ,

where {Ln} is a disjoint sequence in ¯̄S .8

Proof. As S̄ is monotone, it is easy to show that ∃ Tn 3 µ̄(Ln ∩ T) takes

its maximum value for T = Tn . Let U =∞⋃

n=1Tn . Then U ∈ S̄ and10

supT∈S̄

µ̄(Ln ∩ T) = µ̄(Ln ∩ U)

Therefore12

∞∑

n=1supT∈S̄

µ̄(Ln ∩ T) =∞∑

n=1µ̄(Ln ∩ U)

= µ̄

[( ∞⋃

n=1Ln

)∩ U

]14

= supT∈S̄

µ̄

[( ∞⋃

n=1Ln

)∩ T

]

= supT∈S̄

{ ∞∑

n=1µ̄(Ln ∩ T)

}.16

Theorem 3.6. If µ∗ is an outer measure on a hereditary σ -ring H and if ¯̄S isthe class of all µ∗∗ -measurable sets, then every set of outer measure zero belongs18

to ¯̄S and µ̃ is a complete measure on ¯̄S .

Proof. If E ∈ H and µ∗(E) = 0 , then for any G ∈ S̄ and A ∈ H ,20

µ∗(A) = µ∗(E) +µ∗(A)

≥ µ∗[A ∩ (E ∩ G)] +µ∗[A ∩ (E ∩ G)c]22

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Page 8: Induced measures on μ** -measurable sets

INDUCED MEASURES ON µ∗∗-MEASURABLE SETS 697

Since

µ∗(A) ≤ µ∗[A ∩ (E ∩ G)] +µ∗[A ∩ (E ∩ G)c],2

µ∗(A) = µ∗[A ∩ (E ∩ G)] +µ∗[A ∩ (E ∩ G)c].

Hence E ∈ ¯̄S .4

Countable additivity. Let {Ln} be a disjoint sequence in ¯̄S . For anyT ∈ S̄ ,6

µ̄

[( ∞⋃

n=1Ln

)∩ T

]= µ̄

[ ∞⋃

n=1(Ln ∩ T)

]

=∞∑

n=1µ̄(Ln ∩ T)8

since µ̄ is a complete measure on S̄ . (Theorem 11(c) [5]).

Therefore10

supT∈S̄

µ̄

[( ∞⋃

n=1Ln

)∩ T

]= sup

T∈S̄

{ ∞∑

n=1µ(Ln ∩ T)

}

=∞∑

n=1supT∈S̄

µ̄(Ln ∩ T)12

(by the previous lemma).

Therefore14

supT∈S̄

µ∗[( ∞⋃

n=1Ln

)∩ T

]=

∞∑

n=1supT∈S̄

µ∗(Ln ∩ T)

i.e.,16

µ̃

( ∞⋃

n=1LN

)=

∞∑

n=1µ̃(Ln) .

Therefore µ̃ is count ably additive and hence a measure.18

Completeness. If E ∈ ¯̄S , F ⊂ C and µ̃(E) = 0 , then µ̃(F) = 0 and soF ∈ ¯̄S . Hence µ̃ is complete. ¤20

Remark. µ̃ is called the measure induced by µ∗ .

Theorem 3.7. Every set in S(R) is µ∗∗ -measurable.22

Proof. Let E ∈ S̄ . For any element G of S̄ , E ∩ G ∈ S̄ . Hence E isµ∗∗ -measurable.24

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698 P. S. CHAMI AND N. SOOKOO

Therefore

E ∈ ¯̄S .2

Therefore

S̄ ⊂ ¯̄S .4

Since R ⊂ S̄ (Theorem A, p. 49, [5]), R ⊂ ¯̄S . Since ¯̄S is a σ -ring.

S(R) ⊂ ¯̄S .6

Theorem 3.8. If E ∈ H(R) , then

µ∗(E) = inf{µ̃(F) : E ⊂ F ∈ S̄} ,8

= inf{µ̃(F) : E ⊂ F ∈ S(R)} .

Proof. Recall that10

µ∗(F) = inf{ ∞

∑n=1

µ(En) : En ∈ R and E ⊂∞⋃

n=1En

}.

If F ∈ R , then, by the above definition, µ∗(F) = µ(F) . Since F ∈ R ,12

F ∈ S̄ , F ∈ ¯̄S .

Therefore14

µ̃(F) = supT∈S̄

µ∗(F ∩ T) = µ∗(F) .

Therefore, if F ∈ R ,16

µ(F) = µ̃(F) .

From (I),18

µ∗(E) ≥ inf{ ∞

∑n=1

µ̃(En) : En ∈ S(R), and E ⊂∞⋃

n=1En

}.

Since every sequence {En} of sets in S(R) for which20

E ⊂∞⋃

n=1En = F

may be replaced by a disjoint sequence with the same property without22

increasing the sum of the measures of the terms of the sequence, and since,

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INDUCED MEASURES ON µ∗∗ -MEASURABLE SETS 699

by the definition of µ̃ ,

µ̃(E) ≥ µ∗(F), ∀ F ∈ S̄2

it follows that

µ∗(E) ≥ inf{µ̃(F) : E ⊂ F ∈ S(R)}4

≥ inf{µ̃(F) : E ⊂ F ∈ S̄}≥ inf{µ∗(F) : E ⊂ F ∈ S̄}6

≥ µ∗(E)

and the result follows. ¤8

Remark. Given n measure spaces (Xi , Si ,µi) , with the Si , s beingmutually disjoint, the measure a µT can be defined on the space T, where10

T =

{ n⋃

i=1

Ai | Ai ∈ Si , i = 1, 2, . . . , n}

.

and12

µT

( n⋃

i=1

Ai

)=

n

∑i=1

Ai .

T can be defined in a variety of other ways.14

We can also consider the outer measure µ∗i and set function

µ̃i associated with each µi , i = 1, 2, . . . , n , and investigate the measure16

induced by the µi ’s.

Appendix18

Detailed Proof of Theorem 3.1

Proof. Let L, M ∈ ¯̄S . Then for any G ∈ S̄ , L ∩ G and M ∩ G ∈ S̄ .20

Now, (L ∪ M) ∩ G = (L ∩ G) ∪ (M ∩ G) .Since L ∩ G, M ∩ G ∈ S̄ and S̄ is a ring.22

(L ∩ G) ∪ (M ∩ G) ∈ S̄ .

Therefore24

(L ∪ M) ∩ G ∈ S̄ . (I)

Therefore26

L ∪ M ∈ ¯̄S .

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700 P. S. CHAMI AND N. SOOKOO

We now show that (M − L) ∩ G ∈ S̄ , ∀ G ∈ S̄ .Since M ∩ G is µ∗ -measurable,2

µ∗(A) = µ∗[A ∩ (M ∩ G)] +µ∗[A ∩ (M ∩ G)′] . (II)

Since L ∩ G is µ∗ -measurable,4

µ∗[A ∩ (M ∩ G)] = µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)′] . (III)6

Also,

µ∗[A ∩ (M ∩ G)′] = µ∗[(A ∩ (M ∩ G)′ ∩ (L ∩ G)]8

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)′] . (IV)

Substituting (III) and (IV) into (II)10

µ∗(A) = µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G) ∩ (L ∩ G)′]12

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)]

+µ∗[A ∩ (M ∩ G)′ ∩ (L ∩ G)′] . (V)14

Now

A ∩ (M ∩ G) ∩ (L ∩ G)′ = A ∩ (M ∩ G) ∩ (L′ ∪ G′)16

= (A ∩ M ∩ G ∩ L′) ∪ (A ∩ M ∩ G ∩ G′

= A ∩ [(M ∩ L′) ∩ G]18

= A ∩ [(M − L) ∩ G] . (VI)

Also,20

µ∗{A ∩ [(M − L) ∩ G]′}= µ∗{A ∩ [(M ∩ L′) ∩ G]′}22

= µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)}+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ [(M ∩ G) ∩ (L ∩ G)′]}24

+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)}+µ∗{A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)′}, (VII)26

substituting A ∩ [(M ∩ L′) ∩ G]′ in place of A in (V).

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)28

= A ∩ [(M ∩ G)′ ∪ L] ∩ (M ∩ G) ∩ (L ∩ G)

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Page 12: Induced measures on μ** -measurable sets

INDUCED MEASURES ON µ∗∗-MEASURABLE SETS 7012

= A ∩ (M ∩ G) ∩ (L ∩ G), (1)

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G) ∩ (L ∩ G)′4

= A ∩ (M′ ∪ L ∪ G′) ∩ (M ∩ G) ∩ (L′ ∪ G′)

= A ∩ (M′ ∪ L ∪ G′) ∩ (M ∩ G ∩ L′)6

= A ∩ (M ∩ G ∩ L′)′ ∩ (M ∩ G ∩ L′)

= φ , (2)8

A ∩ [(M ∩ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)

= A ∩ (M′ ∪ L ∪ G′) ∩ (M′ ∪ G′) ∩ (L ∩ G)10

= A ∩ (M′ ∪ L ∪ G′) ∩ (M′ ∩ L ∩ G)

= A ∩ (M′ ∩ L ∩ G) ∪ (M′ ∩ L ∩ G) ∪φ12

= A ∩ (M′ ∩ L ∩ G′)

= A ∩ (M ∩ G)′ ∩ (L ∩ G), (3)14

A ∩ [(M ∪ L′) ∩ G]′ ∩ (M ∩ G)′ ∩ (L ∩ G)′

= A ∩ (M′ ∪ L ∪ G′) ∩ (M′ ∪ G′) ∩ (L′ ∪ G′)16

= A ∩ (M′ ∪ L ∪ G′) ∩ {[M′ ∩ (L′ ∪ G′)] ∪ [G′ ∩ (L′ ∪ G′)]}= A ∩ [(M ∩ G)′ ∪ L] ∩ {[M′ ∩ (L ∩ G)′] ∪ [G ∩ (L ∩ G)′]}18

= A ∩ [(M ∩ G)′ ∪ L] ∩ [[{M′ ∪ [G′ ∩ (L ∩ G)′]}∩{(L ∩ G)′ ∪ [G′ ∩ (L ∩ G)′]}]]20

= A ∩ [(M ∩ G)′ ∪ L] ∩ [(M ∩ G)′ ∩ (L ∩ G)′]

= A ∩ {[(M ∩ G)′ ∩ (L ∩ G)′] ∪ [L ∩ (M ∩ G)′ ∩ (L ∩ G)′]}22

= A ∩ {[(M ∩ G)′ ∩ (L ∩ G)′] ∪ [L ∩ (M ∪ G)′ ∩ (L′ ∪ G′)]}= A ∩ {[(M ∩ G)′ ∩ (L ∩ G)′] ∪ [(M ∪ G)′ ∩ (L ∩ G′)]}24

= A ∩ {(M ∩ G)′ ∩ [(L ∩ G)′ ∪ (L ∩ G′)]}= A ∩ {(M ∩ G)′ ∩ [(L′ ∪ G′) ∪ (L ∩ G′)]}26

= A ∩ {(M ∩ G)′ ∩ [U ∩ (L′ ∩ G′)]}= A ∩ (M ∩ G)′ ∩ (L ∩ G)′ . (4)28

From (V), (VI), (1) ,(2), (3), and (4)

µ∗(A) = µ∗{An[(M − L)nG]}+µ∗{A ∩ [(M − L) ∩ G]′} .30

Hence (M − L) ∩ G is µ∗ -measurable for any G ∈ S̄.

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Page 13: Induced measures on μ** -measurable sets

702 P. S. CHAMI AND N. SOOKOO

Hence (M − L) is µ∗∗ -measurable, i.e.,

(M − L) ∈ ¯̄S . (VIII)2

From (I) and (VIII) ¯̄S is a ring. ¤

References4

[1] X. Dao-Xing (1972), Measure and Integration Theory on Infinite-Dimensional Spaces, translated by Elmer J. Brody, Academic Press.6

[2] L. E. Dubins (1974), On the Lebesgue-like extension of finitelyadditive measures, Ann. Probab., Vol. 2 (3), pp. 456–463.8

[3] F. Fric (2002), Lukasiewicz tribes are absolutely sequentially closedbold algebras, Czechoslovak Math. J., Vol. 52 (4), pp. 861–874.10

[4] R. Fric (2005), Extension of measures: a categorical approach, Math.Bohem., Vol. 130 (4), pp. 397–407.12

[5] P. R. Halmos (1950), Graduate Texts in Mathematics – Measure Theory,Springer-Verlag.14

[6] A. Krawczyk and P. Zakrzewski (1991), Extensions of measuresinvariant under countable groups of transformations, Trans. Amer.16

Math. Soc., Vol. 326 (1), pp. 211–226.

Received February, 201018

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