• 検索結果がありません。

γ-SETS AND γ-CONTINUOUS FUNCTIONS WON KEUN MIN

N/A
N/A
Protected

Academic year: 2022

シェア "γ-SETS AND γ-CONTINUOUS FUNCTIONS WON KEUN MIN"

Copied!
6
0
0

読み込み中.... (全文を見る)

全文

(1)

http://ijmms.hindawi.com

© Hindawi Publishing Corp.

γ-SETS AND γ -CONTINUOUS FUNCTIONS

WON KEUN MIN Received 17 September 2001

We introduce a new class of sets, calledγ-sets, and the notion ofγ-continuity and investi- gate some properties and characterizations. In particular,γ-sets andγ-continuity are used to extend known results for semi-open sets and semi-continuity.

2000 Mathematics Subject Classification: 54C08, 54A10, 54A20.

1. Introduction. Let X, Y, and Z be topological spaces on which no separation axioms are assumed unless explicitly stated. LetSbe a subset ofX. The closure (resp., interior) ofSwill be denoted by clS(resp., intS). A subsetSofXis called a semi-open set [2] (resp.,α-set [4]) ifS⊂cl(int(S))(resp.,S⊂int(cl(int(S)))). The complement of a semi-open set (resp.,α-set) is called semi-closed set (resp.,α-closed set). The family of all semi-open sets (resp.,α-sets) inXwill be denoted by SO(X)(resp.,α(X)). A function f :X→Y is called semi-continuous [2] (resp., α-continuous [3]) if f−1(V )∈SO(X) (resp.,f−1(V )∈α(X)) for each open setVofY. A functionf:X→Y is called semi- open [2] (resp.,α-open [3]) if for every semi-open (resp.,α-open) setU inX,f (U)is semi-open (resp.,α-open) inY.

A subsetM(x)of a spaceXis called a semi-neighborhood of a pointx∈Xif there exists a semi-open setSsuch thatx∈S⊂M(x). In [1], Latif introduced the notion of semi-convergence of filters and investigated some characterizations related to semi- open continuous functions. Now, we recall the concept of semi-convergence of filters.

LetS(x)= {A∈SO(X):x∈A}and letSx= {A⊂X:∃µ⊂S(x)such thatµis finite and∩µ⊂A}. Then,Sxis called the semi-neighborhood filter atx. For any filterFonX, we say thatFsemi-converges toxif and only ifF is finer than the semi-neighborhood filter atx.

2. γ-sets

Definition2.1. Let(X,τ)be a topological space. A subsetUofXis called aγ-set inXif whenever a filterFsemi-converges toxandx∈U,U∈F.

The class of allγ-sets inX will be denoted byγ(X). In particular, the class of all γ-sets induced by the topologyτwill be denoted byγτ.

Remark 2.2. From the definition of semi-neighborhood filter andγ-set, we can easily say that every semi-open set is aγ-set, but the converse is always not true.

Example2.3. LetXbe the real number set with the usual topology. For eachx∈X, since both(a,x]and[x,b)are semi-open sets containingx, wherea < x < b,{x}is

(2)

an element ofSx. For any filterF onX, ifFsemi-converges toxand sinceF includes Sx, thenxis aγ-set. But it is not semi-open.

Remark2.4. In a topological space(X,τ), it is always true that

τ⊂α(X)⊂SO(X)⊂γ(X). (2.1) Theorem2.5. Let(X,τ)be a topological space. The intersection of finitely many semi-open subsets inXis aγ-set.

Proof. LetU1andU2be semi-open sets inX. For eachx∈U1∩U2, we getU1∩U2 Sx. Thus, from the concept of the semi-convergence of filters, whenever every filterF semi-converges tox,U1∩U2∈F.

Definition2.6. Let(X,τ)be a topological space. Theγ-interior of a setAinX, denoted by intγ(A), is the union of allγ-sets contained inA.

Theorem2.7. Let(X,τ)be a topological space andA⊂X. (a) intγ(A)= {x∈A:A∈Sx}.

(b)Aisγ-set if and only ifA=intγ(A).

Proof. (a) For eachx∈intγ(A), there exists aγ-setUsuch thatx∈UandU⊂A. From the notion ofγ-set, the subsetUis in the semi-neighborhood filterSx. SinceSxis a filter,A∈Sx. Conversely, letx∈AandA∈Sx, then there existU1···Un∈S(x)such thatU=U1∩···∩Un⊂A. ByTheorem 2.5,Uis aγ-set andU⊂A. Thusx∈intγ(A).

(b) The proof is obvious.

Theorem2.8. Let(X,τ)be a topological space. Then, the classγ(X)of allγ-subsets inXis a topology onX.

Proof. SinceandX are semi-open, they are alsoγ-sets inX. LetA,B∈γ(X), x∈A∩B, and letFbe a filter. Suppose the filterFsemi-converges tox. ThenA,B∈F and sinceF is a filter,(A∩B)∈F. Thus,A∩Bis aγ-set.

For eachα∈IletAα∈γ(X)andU= ∪Aα. For eachx∈Uand for a filterF semi- converging toxthere exists a subsetAαofUsuch thatx∈Aα, and sinceAαisγ-set, it is obvious thatAα∈F. SinceF is a filter,U is an element of the filterF and thus U= ∪Aαis aγ-set.

In a topological space(X,τ), the class of allγ-sets induced by the topologyτwill be denoted by(X,γτ). A subsetBofXis called aγ-closed set if the complement ofB is aγ-set. Thus, the intersection of any family ofγ-closed sets is aγ-closed set and the union of finitely manyγ-closed sets is aγ-closed set.

Obviously, we obtain the following theorem by definition of theγ-set.

Theorem2.9. Let(X,τ)be a topological space. A setGis γ-closed if and only if wheneverF semi-converges toxandA∈F,x∈A.

Definition2.10. Let(X,τ)be a topological space andA⊂X, clγ(A)=

x∈X:A∩U∅ ∀U∈Sx

. (2.2)

We call clγ(A)theγ-closure of the setA.

(3)

Now we can get the following theorem.

Theorem2.11. Let(X,τ)be a topological space and letAbe a subset ofX. Then the following properties hold:

(1) A⊂clγ(A);

(2) Aisγ-closed if and only ifA=clγA; (3) intγ(A)=X−clγ(X−A);

(4) clγ(A)=X−intγ(X−A).

3. γ-continuous andγ-irresolute functions

Definition3.1. Let(X,τ)and(Y ,µ)be topological spaces. A functionf:X→Y is calledγ-continuous if the inverse image of each open set ofY is aγ-set inX.

Since the class of allγ-sets in a given topological space is also a topology, we get the following equivalent statements.

Theorem3.2. Let(X,τ)and(Y ,µ)be topological spaces. Iff:(X,τ)→(Y ,µ)is a function, then the following statements are equivalent:

(1) fisγ-continuous;

(2) the inverse image of each closed set inY isγ-closed;

(3) clγ(f1(B))⊂f1(cl(B))for everyB⊂Y; (4) f (clγ(A))⊂cl(f (A))for everyA⊂X;

(5) f1(int(B))⊂intγ(f1(B))for everyB⊂Y.

Theorem3.3. Letf:(X,τ)→(Y ,µ)be a function between topological spaces. Then the following statements are equivalent:

(1) fisγ-continuous atx;

(2) if a filterF semi-converges tox, thenf (F)converges tof (x);

(3) forx∈Xand for each neighborhoodUoff (x), there is a subsetV∈Sxsuch thatf (V )⊂U.

Proof. (1)(2). LetV be any open neighborhood off (x)inY. Thenf−1(V )is a γ-set containingx. Thusf1(V )is an element inSx. SinceFsemi-converges toxand f (F)is a filter,V∈f (F). Consequently,f (F)converges tof (x).

(2)(3). LetUbe anyγ-neighborhood off (x). Since alwaysSxsemi-converges tox, from the hypothesisSf (x)⊂f (Sx), and soU∈f (Sx). Thus, there is a subsetV∈Sx

such thatf (V )⊂U.

(3)(1). The proof is obvious.

We can easily verify the following result.

Corollary 3.4. Letf :(X,τ)→(Y ,µ) be a function. If f is semi-continuous at x∈X, then whenever a filterFsemi-converges toxinX,f (F)converges tof (x)inY. Remark3.5. The following example shows that the converse ofCorollary 3.4may not be true. And we say that everyγ-continuous function is semi-continuous.

Example3.6. LetRbe the set of real numbers with the usual topology. We define f :RRbyf (x)=0, ifx∈Qand otherwise,f (x)=√

2. Clearly, a filter F semi-

(4)

converges toxif and only if ˙x⊂F. Thus ˙f (x)⊂f (F)and sof (F)converges tof (x). For an open interval(−1,1)containing 0,f−1{(−1,1)} =Q. SinceQis not semi-open inR,fis not semi-continuous.

Definition3.7. Let(X,τ)and(Y ,µ)be topological spaces. A functionf:X→Y is calledγ-irresolute if the inverse image of eachγset ofY is aγ-set inX.

The following theorems are obtained byDefinition 3.7.

Theorem3.8. Letf:(X,τ)→(Y ,µ)be a function between topological spaces. Then the following statements are equivalent:

(1) fisγ-irresolute;

(2) the inverse image of eachγ-closed set inY is aγ-closed set;

(3) clγτ(f1(V ))⊂f1(clγµ(V ))for everyV⊂Y; (4) f (clγτ(U))⊂clγµ(f (U))for everyU⊂X;

(5) f1(intγµ(B))⊂intγτ(f1(B))for everyB⊂Y.

Theorem3.9. Letf:(X,τ)→(Y ,µ)be a function between topological spaces. Then the following statements are equivalent:

(1) fisγ-irresolute;

(2) for x ∈X and for each V Sf(x), there exists an element U in the semi- neighborhood filterSxsuch thatf (U)⊂V;

(3) for eachx∈X, if a filterF semi-converges tox, thenf (F) semi-converges to f (x)inY.

Proof. (1)(2). The proof is obvious.

(2)(3). LetVbe an element of the semi-neighborhood filter ofSf (x) andUbe an element ofSxand letFbe a filter onXsemi-converging tox. Thenf (Sx)⊂f (F). Since U is an element inSx andf (F)is a filter, we can say thatV∈f (F). Consequently, f (F)semi-converges tof (x).

(3)(1). Let V be anyγ-set inY and supposef−1(V )is not empty. For eachx∈ f1(V ), since the semi-neighborhood filterSxsemi-converges toxand the hypothesis, clearly,f (Sx)semi-converges tox. And sinceV isγ-set containingf (x)andSf (x) f (Sx),V ∈f (Sx). Now we can take someγ-setU in Sx such thatf (U)⊂V. Thus, U⊂f1(V )and sinceSxis a filter, so f1(V )is an element ofSx. Andf1(V )is a γ-set inXfromTheorem 2.7(b).

Corollary3.10. Letf:(X,τ)→(Y ,µ)be a function. Iffis irresolute, then when- ever a filterFsemi-converges toxinX,f (F)semi-converges tof (x)inY.

Remark3.11. We can get the following diagrams:

continuity ⇒α-continuity ⇒ semi-continuity ⇒γ-continuity;

α-irresolute ⇒ irresolute ⇒γ-irresolute. (3.1) Definition 3.12. For two topological spaces (X,τ) and (Y ,µ), a function f : (X,τ)→(Y ,µ)isγ-open if for every open setGinX,f (G)is aγ-set inY.

Theorem 3.13. Let f :(X,τ)→(Y ,µ)be a function between topological spaces.

Then,fisγ-open if and only ifint(f−1(B))⊂f−1(intγµ(B)), for eachB⊂Y.

(5)

Proof. LetB⊂Y andx∈int(f1(B)). Then,f (int(f1(B)))is aγ-set containing f (x). Sincef (int(f−1(B)))∈Sf (x)andSf (x)is a filter,B∈Sf (x). Thus,f (x)∈intγµ(B) and sox∈f−1(intγµ(B)).

Conversely, letAbe an open inXandy∈f (A). Then, A⊂int

f1f (A)

⊂f1 intγµ

f (A)

. (3.2)

Letx∈Abe such thatf (x)=y, thenx∈f1(intγµ(f (A))). Then,y∈intγµ(f (A)), and fromTheorem 2.7(b)f (A)is aγ-set.

Remark3.14. If any function is semi-open, then it is alsoγ-open. But the converse may not hold. Consider a functionf:RRdefined byf (x)=0 for allx∈R, where the real number setRwith the usual topology. Thenf isγ-open. For any semi-open setG,f (G)= {0}and{0}is not semi-open set, thusf is not semi-open.

Theorem3.15. Letf:(X,τ)→(Y ,µ)be a function between topological spaces. The functionf isγ-open if and only if for eachx∈Xand for each neighborhoodGofx, f (G)is also an element of semi-neighborhood filterSf (x)inY.

Proof. LetGbe a neighborhood ofx, then there exists an open setUsuch that x∈U⊂G. Sincef isγ-open,f (x)∈f (U)=intγµ(f (U)), and sof (U)∈Sf (x). Since Sf (x)is a filter,f (G)∈Sf (x).

Conversely, letB⊂Y and x∈int(f−1(B)), then since int(f−1(B))is an element ofSxandSxis a filter,f−1(B)∈Sx. By the hypothesisf (f−1(B))∈Sf (x), and since Sf (x)is a filter,Bis also an element ofSf (x). ByDefinition 2.6,f (x)∈intγµ(B)and by Theorem 3.13, the functionf isγ-open.

Remark3.16. Now we get the following diagram:

open function ⇒α-open function ⇒semi-open function ⇒γ-open function. (3.3)

References

[1] R. M. Latif,Semi-convergence of filters and nets, to appear in Soochow J. Math.

[2] N. Levine,Semi-open sets and semi-continuity in topological spaces, Amer. Math. Monthly 70(1963), 36–41.

[3] A. S. Mashhour, I. A. Hasanein, and S. N. El-Deeb,α-continuous andα-open mappings, Acta Math. Hungar.41(1983), no. 3-4, 213–218.

[4] O. Nj˙astad,On some classes of nearly open sets, Pacific J. Math.15(1965), no. 3, 961–970.

Won Keun Min: Department of Mathematics, Kangwon National University, Chun- cheon200-701, Korea

E-mail address:[email protected]

(6)

Special Issue on

Boundary Value Problems on Time Scales

Call for Papers

The study of dynamic equations on a time scale goes back to its founder Stefan Hilger (1988), and is a new area of still fairly theoretical exploration in mathematics. Motivating the subject is the notion that dynamic equations on time scales can build bridges between continuous and discrete mathematics; moreover, it often revels the reasons for the discrepancies between two theories.

In recent years, the study of dynamic equations has led to several important applications, for example, in the study of insect population models, neural network, heat transfer, and epidemic models. This special issue will contain new researches and survey articles on Boundary Value Problems on Time Scales. In particular, it will focus on the following topics:

Existence, uniqueness, and multiplicity of solutions

Comparison principles

Variational methods

Mathematical models

Biological and medical applications

Numerical and simulation applications

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www .hindawi.com/journals/ade/guidelines.html. Authors should follow the Advances in Difference Equations manuscript format described at the journal site http://www.hindawi .com/journals/ade/. Articles published in this Special Issue shall be subject to a reduced Article Processing Charge of C200 per article. Prospective authors should submit an elec- tronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/

according to the following timetable:

Manuscript Due April 1, 2009 First Round of Reviews July 1, 2009 Publication Date October 1, 2009

Lead Guest Editor

Alberto Cabada,

Departamento de Análise Matemática, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain; [email protected]

Guest Editor

Victoria Otero-Espinar,

Departamento de Análise Matemática, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;

[email protected]

Hindawi Publishing Corporation http://www.hindawi.com

参照

関連したドキュメント

Margulis, On the Newtonian potential theory for unbounded sources and its application to free boundary problems, J.. Shahgholian, The regularity of a free boundary problem at

Submitted December 22, 2007, accepted in final form June 10, 2008 AMS 2000 Subject classification: primary 60G17, secondary 60G05, 60G44 Keywords: game-theoretic probability,

Second, the main parameters of the algorithm are extended and studied in this continuous framework: the study of particular trajectories is replaced by the study of

Stegun, Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 4th printing, with corrections, Applied Mathematics Series 55, National Bureau of Stan-

We establish why expected value is insensitive to catastrophic risks see the study by Chichilnisky 1996, and use another criterion to evaluate risk based on axioms for choice

A problem of the first passage of a cumulative random process with generally distributed discrete or continuous increments over a fixed level is con- sidered in the article as

We consider the problem of finding the shortest path connecting two given points of the Euclidian plane which has given initial and final tangent angles and initial and

We introduce the notion of L 1 -completeness for a stochastic flow on a mani- fold that is a certain modification of ordinary stochastic completeness providing the property that